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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
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<journal-title>Frontiers in Medicine</journal-title>
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<issn pub-type="epub">2296-858X</issn>
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<article-id pub-id-type="doi">10.3389/fmed.2026.1737582</article-id>
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<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Decoding the microbial blueprint of pancreatic cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Bautista</surname> <given-names>Jhommara</given-names></name>
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<name><surname>Bed&#x00F3;n-Galarza</surname> <given-names>Ricardo</given-names></name>
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<name><surname>Masache-Cruz</surname> <given-names>Martina</given-names></name>
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<name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>Andr&#x00E9;s</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Cancer Research Group (CRG), Faculty of Medicine, Universidad de Las Am&#x00E9;ricas</institution>, <city>Quito</city>, <country country="ec">Ecuador</country></aff>
<aff id="aff2"><label>2</label><institution>Servicio de Medicina Interna, Hospital General Docente de Calder&#x00F3;n</institution>, <city>Quito</city>, <country country="ec">Ecuador</country></aff>
<aff id="aff3"><label>3</label><institution>Facultad de Ciencias M&#x00E9;dicas, Universidad Central del Ecuador</institution>, <city>Quito</city>, <country country="ec">Ecuador</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Andr&#x00E9;s L&#x00F3;pez-Cort&#x00E9;s, <email xlink:href="mailto:aalc84@gmail.com">aalc84@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-23">
<day>23</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1737582</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Bautista, Bed&#x00F3;n-Galarza, Mart&#x00ED;nez-Hidalgo, Masache-Cruz, Ben&#x00ED;tez-N&#x00FA;&#x00F1;ez, Valencia-Arroyo and L&#x00F3;pez-Cort&#x00E9;s.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Bautista, Bed&#x00F3;n-Galarza, Mart&#x00ED;nez-Hidalgo, Masache-Cruz, Ben&#x00ED;tez-N&#x00FA;&#x00F1;ez, Valencia-Arroyo and L&#x00F3;pez-Cort&#x00E9;s</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Pancreatic cancer (PC) represents one of the most formidable challenges in oncology, characterized by its asymptomatic onset, delayed clinical detection, and dismal prognosis. Among pancreatic neoplasms, pancreatic ductal adenocarcinoma (PDAC) accounts for over 90% of cases and remains the most aggressive form, driven by late diagnosis, intrinsic chemoresistance, and a profoundly immunosuppressive tumor microenvironment. Recent advances have reframed the human microbiome not as a passive bystander but as an active architect of pancreatic tumor biology. This review delineates the mechanistic axes through which microbial ecosystems orchestrate PDAC progression across four key anatomical niches-gastrointestinal, oral, urogenital, and intrapancreatic. We elucidate how microbial dysbiosis fosters oncogenesis through immune evasion, metabolic reprogramming, and chronic inflammation, implicating specific taxa such as <italic>Fusobacterium nucleatum</italic>, <italic>Malassezia</italic> spp., and <italic>Porphyromonas gingivalis</italic> in immune suppression and chemoresistance. Microbial enzymatic inactivation of gemcitabine and modulation of cytokine networks further underscore the microbiome&#x2019;s pivotal role in therapeutic failure. Conversely, commensal and probiotic species may potentiate immunosurveillance and enhance treatment efficacy. This review also explores microbiota-derived biomarkers for early detection and the translational promise of microbiome-targeted interventions, including fecal microbiota transplantation, probiotics, and selective antibiotics. By decoding the microbial blueprint of PC, we propose a paradigm in which the microbiome emerges as both a biomarker and a therapeutic axis, offering novel avenues for precision oncology. Furthermore, this integrative synthesis emphasizes the multi-omic, immunometabolic, and therapeutic dimensions of the pancreatic cancer-microbiome interface, where metagenomic, transcriptomic, metabolomic, and immunomic layers converge to shape tumor evolution and therapeutic response, advancing the vision of microbiome-informed precision oncology.</p>
</abstract>
<kwd-group>
<kwd><italic>Aggregatibacter actinomycetemcomitans</italic></kwd>
<kwd>enterobacter</kwd>
<kwd>fecal microbiota transplantation</kwd>
<kwd><italic>Fusobacterium nucleatum</italic></kwd>
<kwd>immunomic</kwd>
<kwd><italic>Malassezia</italic> spp.</kwd>
<kwd>metabolomic</kwd>
<kwd>metagenomic</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Universidad de Las Am&#x00E9;ricas, Quito, Ecuador.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="172"/>
<page-count count="17"/>
<word-count count="14005"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Translational Medicine</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>As one of the most aggressive human malignancies, PC remains a formidable clinical and biological challenge marked by silent onset, delayed detection, and profound therapeutic resistance. The pancreas is a vital organ that performs both exocrine and endocrine functions, playing a crucial role in digestion, nutrient absorption, and metabolic regulation. However, its deep anatomical location and the asymptomatic nature of early disease stages often delay diagnosis until the malignancy is advanced and incurable (<xref ref-type="bibr" rid="B1">1</xref>). Among pancreatic neoplasms, PDAC accounts for over 90% of cases and is one of the most lethal solid tumors. This malignancy is marked by a complex and immunosuppressive TME that promotes metabolic reprogramming and facilitates interactions between diverse cellular populations, contributing to rapid progression and limited therapeutic response (<xref ref-type="bibr" rid="B2">2</xref>). Globally, it ranks as the 12th most diagnosed cancer, yet its mortality rate remains disproportionately high (<xref ref-type="bibr" rid="B3">3</xref>). Survival rates for PDAC are alarmingly low, with only &#x223C;18% of patients surviving 1 year after diagnosis and just 11% surviving 5 years (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). These outcomes are largely attributed to delayed detection and intrinsic resistance to therapy.</p>
<p>Imaging remains the cornerstone of PC diagnosis. Multidetector computed tomography (CT) is the preferred modality for initial evaluation, while ultrasonography and magnetic resonance imaging (MRI) provide complementary anatomical resolution (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). In efforts to overcome diagnostic delays, innovative tools such as the PAC-MANN blood-based assay have been introduced. This platform utilizes magnetic nanosensors to quantify protease activity, and when combined with CA 19-9, achieves 85% accuracy in detecting early-stage PC using only 8 &#x03BC;L of blood. Delivering results within 45 min, it represents a rapid, cost-effective, and scalable strategy, particularly advantageous for resource-limited settings (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Beyond classical diagnostics, the human microbiome has emerged as a fundamental regulator of systemic physiology and oncogenesis. Comprising bacteria, viruses, and fungi, this &#x201C;hidden organ&#x201D; orchestrates host metabolism, immunity, and inflammation (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). The intestinal microbiome, in particular, is indispensable for lifelong immune development and tolerance. Disruption of its homeostasis, termed dysbiosis, has been implicated in gastrointestinal, metabolic, cardiovascular, and neuropsychiatric disorders (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Microbial ecosystems also inhabit anatomical regions once considered sterile. The genitourinary tract, for instance, hosts a unique microbiome influenced by age, hormonal milieu, and host-specific factors, though reproducibility across studies remains limited due to methodological variability in sampling and sequencing (<xref ref-type="bibr" rid="B19">19</xref>). Increasingly, evidence indicates that the gastrointestinal microbiome plays a critical role in pancreatic tumorigenesis. Alterations in microbial composition and function can modulate local and systemic inflammation, immune regulation, and xenobiotic metabolism-mechanisms directly relevant to PC initiation and therapeutic resistance (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Recent translational frameworks now position the microbiome as a mechanistic and clinically actionable component of oncology, advancing from correlation to intervention-ready models. Multi-omic evidence links microbial pathways, nucleotide salvage, bile-acid remodeling, and tryptophan&#x2013;kynurenine metabolism to immune evasion, stromal remodeling, and therapeutic resistance in PDAC, supporting the development of microbiota-informed diagnostics and adjunctive strategies such as live biotherapeutics and precision nutrition (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). For low-biomass niches like the intrapancreatic and biliary microbiomes, standardized sampling, contamination control, and functional readouts (metatranscriptomics, metabolomics) are essential for reproducible biomarker discovery (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Parallel evidence indicates that early-life microbial imprinting, shaped by delivery mode, breastfeeding, and maternal microbiota, programs immune tone and metabolic set-points that persist into adulthood. Early dysbiosis, particularly altered <italic>Bifidobacterium</italic> and <italic>Lactobacillus</italic> transmission, may predispose individuals to chronic inflammation and metabolic reprogramming conducive to PDAC development. Integrating function-first profiling with life-course microbial determinants could refine PDAC risk stratification and accelerate translation from discovery to personalized interventions (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Within the urogenital niche, dysbiosis has been linked to urinary pathologies, whereas dominance of <italic>Lactobacillus</italic> species such as <italic>L. crispatus</italic> supports urogenital health, while <italic>L. gasseri</italic> is often associated with dysbiotic states, reflecting species-specific effects on mucosal stability (<xref ref-type="bibr" rid="B29">29</xref>). Similarly, the oral microbiome contributes to pancreatic carcinogenesis, with pro-inflammatory taxa including <italic>Porphyromonas gingivalis</italic> and <italic>Aggregatibacter actinomycetemcomitans</italic> potentially translocating to the pancreas via hematogenous or lymphatic routes and altering its immune milieu (<xref ref-type="bibr" rid="B30">30</xref>). Furthermore, the intrapancreatic microbiome, enriched with <italic>Fusobacterium</italic>, <italic>Pseudomonas</italic>, <italic>Enterobacter</italic>, and <italic>Malassezia</italic>, has been shown to shape immune cell infiltration, influence chemotherapeutic efficacy, and modulate disease aggressiveness and prognosis (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Recent metagenomic profiling has revealed that PDAC harbors a distinct microbial ecosystem with functional links to tumor metabolism and immunosuppression. Multi-omic integration demonstrates that specific microbial taxa contribute to reprogramming of amino-acid and lipid metabolism, while simultaneously dampening interferon signaling and cytotoxic lymphocyte infiltration (<xref ref-type="bibr" rid="B31">31</xref>). These findings suggest that microbial metabolic pathways operate as <italic>co-drivers</italic> of pancreatic tumor biology, aligning with emerging evidence that the gut&#x2013;pancreas axis orchestrates oncogenic inflammation and immune escape (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Beyond initiation and immune escape, the microbiome actively engineers metastatic fitness and organotropism in PDAC. Gut and intratumoral taxa calibrate EMT, desmoplasia, angiogenesis, and immune surveillance, conditioning pre-metastatic niches and shaping therapy response. In parallel, tumor-derived extracellular vesicles encode integrin &#x201C;zip codes&#x201D; that direct tissue targeting, such as &#x03B1;6&#x03B2;4/&#x03B1;6&#x03B2;1 biasing lung uptake and &#x03B1;v&#x03B2;5 engaging liver Kupffer cells, remodeling distant sites via cytokine induction, ECM dynamics, vascular leak, and immune suppression. This tumor-microbe-host circuitry also alters drug bioavailability and ICI efficacy: gut metabolites (SCFAs, bile-acid and tryptophan derivatives) reprogram endothelium and myeloid compartments, while <italic>Gammaproteobacteria</italic> can inactivate gemcitabine; circulating microbial DNA/metabolite signatures capture these states and predict outcomes. Operationalizing organotropism, especially PDAC&#x2019;s liver/peritoneal tropism, by pairing microbiome-informed biomarkers with EV-guided niche biology could sharpen surveillance, risk stratification, and treatment timing (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>This review synthesizes the mechanistic dimensions through which the microbiome shapes PC biology across four interrelated niches-gastrointestinal, oral, urogenital, and intrapancreatic. We elucidate how microbial communities modulate the pancreatic TME, influence immune signaling and metabolism, and alter treatment responsiveness via drug biotransformation and immune regulation. Collectively, these insights highlight the microbiome&#x2019;s growing significance as both a diagnostic biomarker and a therapeutic target in the evolving landscape of PC management.</p>
</sec>
<sec id="S2">
<title>Gastrointestinal microbiome</title>
<p>Among the various microbial ecosystems in the human body, the gastrointestinal microbiome emerges as a critical regulator of systemic immunity, metabolic signaling, and inflammatory pathways (<xref ref-type="bibr" rid="B16">16</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). These functions are increasingly implicated in the pathogenesis of PC. Alterations in gut microbial composition, particularly reduced diversity, have been observed in patients with PC. It has been reported a significant shift in gut microbiota populations, characterized by an increased abundance of <italic>Bacteroides</italic> and a decreased proportion of <italic>Proteobacteria</italic>, compared to healthy controls (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Emerging data link gut microbiota dysbiosis to tumor-promoting inflammation, including enhanced expression of pro-inflammatory cytokines such as tumor necrosis factor-alpha (TNF-&#x03B1;), a hallmark of chronic inflammatory states (<xref ref-type="bibr" rid="B36">36</xref>). Although transient inflammation is protective, its persistence fosters a pro-carcinogenic microenvironment that supports malignant transformation.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Microbiome-derived signatures across body sites modulating pancreatic cancer. Distinct microbial communities from the oral, urogenital, gastrointestinal, and intrapancreatic niches contribute to the pathogenesis and progression of pancreatic ductal adenocarcinoma (PDAC). Oral microbiota, including <italic>P. gingivalis</italic> and <italic>F. nucleatum</italic>, are associated with chronic inflammation and poor prognosis. Gastrointestinal microbes, such as <italic>H. pylori</italic> and <italic>E. coli</italic>, influence tumorigenesis through immune modulation and genotoxic effects. Urogenital dysbiosis, featuring <italic>Enterococcus faecalis</italic> and <italic>Lactobacillus iners</italic>, may contribute to systemic inflammation and immune escape. The intrapancreatic microbiome, dominated by <italic>Proteobacteria</italic>, <italic>Firmicutes</italic>, and <italic>Malassezia</italic> species, directly shapes the tumor microenvironment by promoting immunosuppression, metabolic rewiring, and chemoresistance.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-13-1737582-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating key microbiome signatures associated with pancreatic cancer in different body regions. It includes the oral microbiome with bacteria like Porphyromonas gingivalis linked to chronic inflammation, and Fusobacterium nucleatum involved in DNA methylation. The intrapancreatic section highlights low-biomass microbiomes aiding tumor progression, featuring Fusobacterium nucleatum and Enterobacter. The gastrointestinal microbiome shows reduced diversity and inflammatory pathways involving Fusobacterium nucleatum and Escherichia coli. The urogenital microbiome mentions urinary biomarkers and the role of Lactobacillus spp. The human figure is marked with circles indicating affected areas.</alt-text>
</graphic>
</fig>
<p>Systemic and local inflammatory pathways converge in PC, where metabolic disorders such as obesity, type 2 diabetes, and chronic pancreatitis exacerbate gut microbiota dysbiosis and compromise intestinal barrier integrity. This disruption facilitates microbial translocation to pancreatic tissue through mesenteric or lymphatic routes (<xref ref-type="bibr" rid="B37">37</xref>). Integrative metabolomic analyses reveal that depletion of <italic>Faecalibacterium</italic> and <italic>Akkermansia</italic> perturbs bile-acid and tryptophan pathways, activating pro-inflammatory signaling cascades that favor epithelial&#x2013;mesenchymal transition and tumor initiation (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). However, these metabolic circuitries, particularly the bile-acid and tryptophan&#x2013;kynurenine axes, have been more comprehensively characterized in metabolic disease, colorectal cancer, and inflammatory bowel disorders, indicating that their mechanistic roles in PDAC require further validation (<xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Recent mechanistic studies further reveal that chronic inflammation reshapes the tumor immune microenvironment through myeloid-cell reprogramming. Specifically, CSF1R<sup>+</sup> tumor-associated macrophages suppress cytotoxic CD8<sup>+</sup> T-cell infiltration and effector function, generating an immunosuppressive niche that supports tumor persistence. Targeted depletion of this subset restores antitumor T-cell activity and reduces tumor burden, highlighting the CSF1/CSF1R axis as a promising immunotherapeutic target in PC (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Beyond immune modulation, the gut microbiome exerts systemic effects through the microbiota-gutbrain axis. Microbial species such as <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> produce key neurotransmitters, including &#x03B3;-aminobutyric acid (GABA), serotonin, and dopamine, that influence both vagal signaling and immune tone (<xref ref-type="bibr" rid="B45">45</xref>). This bidirectional communication system integrates neural, endocrine, and immune signals, modulating not only emotional and behavioral responses but also inflammatory pathways (<xref ref-type="bibr" rid="B46">46</xref>). Nevertheless, most mechanistic insights into microbiota-derived neurotransmission originate from neuropsychiatric, metabolic, and gastrointestinal disease models, with only indirect evidence linking these neuromodulatory pathways to PDAC biology. Consequently, their contribution to pancreatic tumorigenesis should be regarded as emerging rather than definitively established (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>Shifts in the balance of dominant phyla, such as <italic>Firmicutes</italic> and <italic>Bacteroidetes</italic>, can significantly impact host metabolism and immune regulation, contributing to the development of metabolic syndrome, chronic inflammation, and tumorigenesis (<xref ref-type="bibr" rid="B48">48</xref>). Lastly, these findings position the gastrointestinal microbiome as a central but heterogeneously validated driver of PC pathogenesis, combining well-established inflammatory mechanisms with several promising neuroendocrine and metabolic pathways.</p>
</sec>
<sec id="S3">
<title>Urogenital microbiome</title>
<p>Traditionally viewed as a sterile fluid and passive filtrate of systemic physiology, urine is now recognized as a dynamic biofluid capable of capturing early molecular changes associated with disease processes, including PDAC (<xref ref-type="bibr" rid="B49">49</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Emerging evidence suggests that urine harbors a range of biomarkers, including metabolites linked to glucose dysregulation, chronic inflammation, and cancer-associated cachexia, that can distinguish PDAC patients from healthy individuals even before the onset of clinical symptoms (<xref ref-type="bibr" rid="B50">50</xref>). One promising avenue involves urinary exosomal microRNAs, which are protected within lipid vesicles and reflect oncogenic signals emanating from the TME. These vesicle-encapsulated molecules exhibit remarkable stability, making them attractive candidates for non-invasive early detection (<xref ref-type="bibr" rid="B51">51</xref>). Although the composition of the urinary microbiota itself remains underexplored in the context of PDAC, the molecular cargo of urine may indirectly reflect host-microbiota interactions or microbial-driven metabolic shifts that contribute to tumor initiation and progression (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>Crucially, urine does not merely mirror metabolic disturbances; it may also encode immunological and microbial alterations relevant to cancer biology. This broad molecular representation has led to the development of multiplexed biomarker panels, which integrate proteins, metabolites, and non-coding RNAs (<xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>). Such combinatorial strategies consistently outperform single-analyte diagnostics in sensitivity and specificity, offering a robust approach to address the clinical challenges posed by PC, a malignancy characterized by marked heterogeneity and rapid progression (<xref ref-type="bibr" rid="B56">56</xref>). Collectively, urine has emerged as a powerful non-invasive matrix capable of capturing early molecular signals of malignancy in PC, supporting its integration into risk-stratification workflows.</p>
<sec id="S3.SS1">
<title>Urogenital microbiome and host-microbial interactions</title>
<p>Once considered sterile, the urinary and genital tracts are now recognized as dynamic microbial ecosystems essential for maintaining mucosal homeostasis and immune defense. Advanced sequencing technologies, particularly 16S rRNA and metagenomic approaches, have revealed diverse microbial consortia inhabiting these niches, collectively referred to as the <italic>urogenital microbiome</italic> or <italic>urobiome</italic>. These microorganisms, though present in low biomass, engage in intricate metabolic and immunological cross-talk with the host, influencing health, disease susceptibility, and therapeutic outcomes (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>The discovery that the urinary tract is not sterile has transformed urology and microbiome science. High-throughput sequencing and enhanced quantitative urine culture (EQUC) methods demonstrated viable microbial communities distinct from contamination by skin or vaginal flora. Predominant genera such as <italic>Lactobacillus</italic>, <italic>Streptococcus</italic>, <italic>Gardnerella</italic>, <italic>Prevotella</italic>, <italic>Corynebacterium</italic>, <italic>Veillonella</italic>, and <italic>Escherichia-Shigella</italic> constitute the core urinary microbiota, varying according to sex, age, and hormonal status (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B58">58</xref>&#x2013;<xref ref-type="bibr" rid="B60">60</xref>). In women, <italic>Lactobacillus</italic>-dominated communities exert protective functions by producing lactic acid, hydrogen peroxide, and bacteriocins that maintain acidic pH and inhibit uropathogen adhesion. In contrast, dysbiosis, characterized by the overgrowth of <italic>Gardnerella vaginalis</italic>, <italic>Ureaplasma urealyticum</italic>, or <italic>Escherichia coli</italic>, is linked to urinary tract infections (UTIs), urgency urinary incontinence, interstitial cystitis, and elevated inflammatory signaling (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Host-microbial interactions in the urogenital tract are primarily mediated by mucosal immunity and biochemical communication. The urothelium expresses pattern-recognition receptors (PRRs) such as Toll-like receptors (TLRs), which recognize microbial-associated molecular patterns (MAMPs) and trigger innate immune cascades. These interactions activate antimicrobial peptide release and cytokine secretion, promoting a state of controlled immune vigilance. Symbiotic bacteria can also modulate host gene expression through short-chain fatty acids (SCFAs), indoles, and bile acid derivatives that act as epigenetic and metabolic regulators. For instance, SCFAs and deoxycholic acid regulate Th1/Th2 balance and macrophage polarization, thereby influencing local immune tolerance and inflammatory resolution. Dysregulation of these pathways can predispose individuals to recurrent UTIs or chronic inflammatory disorders (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>At the ecological level, quorum sensing and metabolite exchange underpin microbial community stability. Recent metabolomic-metagenomic integration has identified co-regulated networks linking specific metabolites to microbial taxa in the female urinary tract. Protective <italic>Lactobacillus</italic> species were associated with lipids and amino acids maintaining epithelial barrier integrity, while pathogenic <italic>E. coli</italic> correlated with elevated polyamines such as putrescine and pro-inflammatory lipids. Deoxycholic acid emerged as a prognostic metabolite for recurrent UTI, reflecting metabolic shifts toward dysbiosis and immune suppression (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>Mechanistically, cross-talk between the urinary microbiome and systemic physiology extends beyond local infection. The gut-urogenital axis links intestinal dysbiosis to urinary tract inflammation via translocation of microbial metabolites and immune mediators. In particular, bacterial lipopolysaccharides and tryptophan-kynurenine pathway metabolites modulate systemic immunity, affecting conditions such as bladder cancer and prostate inflammation. Moreover, gut-derived microbial metabolites can regulate hormonal pathways, including estrogen metabolism, which influences vaginal and urinary microbial composition and postmenopausal susceptibility to rUTI (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>Emerging research further implicates the urogenital microbiota in carcinogenesis. Dysbiosis can promote chronic inflammation, oxidative stress, and immune evasion, fostering tumorigenic microenvironments in the bladder, prostate, and kidneys. In urothelial carcinoma, reduced microbial diversity and enrichment of <italic>Fusobacterium nucleatum</italic>, <italic>Acinetobacter</italic>, and <italic>Corynebacterium</italic> species correlate with increased cytokine production and DNA damage. Conversely, commensal <italic>Lactobacillus</italic> and <italic>Streptococcus</italic> species exhibit potential anti-tumor effects by producing anti-inflammatory metabolites and modulating immune checkpoints. Integrative analyses suggest that urogenital dysbiosis and gut microbiome alterations jointly influence immune checkpoint inhibitor (ICI) response in bladder and renal cancers, with SCFAs enhancing Th1 polarization and tumor immunosurveillance (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Although extensive evidence links the gut, oral, and intrapancreatic microbiota to PDAC, the urogenital niche remains an underexplored microbial compartment in this malignancy. Recent evidence indicates that microbial colonization within pancreatic tissue is not merely contaminant but metabolically active, shaping immune surveillance and clinical outcomes in PDAC patients (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>Intratumoral and intestinal dysbiosis have been shown to modulate chemotherapeutic efficacy and immune responses through microbial metabolites and inflammatory signaling pathways (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). The microbiome is therefore emerging as both a biomarker and a therapeutic target across gastrointestinal malignancies, including PDAC, where altered microbial signatures correlate with disease stage and prognosis (<xref ref-type="bibr" rid="B69">69</xref>). Microbial metabolites act as key mediators linking host-microbial metabolic interactions to oncogenic signaling cascades. Moreover, fecal microbiota transplantation studies reinforce the therapeutic potential of microbiome modulation in PDAC (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>).</p>
<p>Complementarily, urinary biomarker research has revealed that urine can function as a non-invasive reservoir of molecular indicators for early PDAC detection, suggesting that microbial or metabolic products from distal compartments may reach the urinary tract (<xref ref-type="bibr" rid="B50">50</xref>). This supports the broader concept of a microbiome-tumor axis that integrates cross-compartmental microbial trafficking and systemic immune-metabolic regulation. However, no empirical study has yet characterized the urogenital microbiome in PDAC, representing a significant gap in the <italic>oncobiome</italic> field. The established immunometabolic influence of urogenital microbiota in other genitourinary cancers and the identification of urinary biomarkers in PDAC provide a strong rationale to investigate whether microbial communities from the urinary or reproductive tracts contribute to systemic inflammation, metabolite circulation, or immune dysregulation in pancreatic tumorigenesis (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B72">72</xref>). Together with previous findings on urinary biomarkers, these insights suggest that urine may serve not only as a molecular biospecimen but also as a reflective medium of systemic and local microbial dynamics associated with PDAC.</p>
<p>Methodological advances have been essential for defining these interactions. Low microbial biomass in urine samples presents unique challenges, requiring stringent contamination control and optimized sequencing pipelines. Enhanced protocols, such as EQUC, catheterized sampling, and multi-omic integration, enable differentiation between resident microbiota and contaminants while revealing functional pathways associated with immunity and metabolism. Standardization across studies remains crucial for reproducibility and for translating microbial signatures into clinical diagnostics (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>Recent comprehensive analyses of over 1,000 individuals demonstrated gender- and age-dependent microbial clustering into distinct &#x201C;urotypes,&#x201D; each dominated by characteristic taxa such as <italic>Lactobacillus</italic>, <italic>Prevotella</italic>, or <italic>Corynebacterium</italic> (<xref ref-type="bibr" rid="B19">19</xref>). These urotypes exhibit unique immunometabolic profiles and may define baseline microbial &#x201C;set points&#x201D; of urinary health. Shifts in these profiles could therefore serve as early indicators of pathological states or treatment outcomes. The concept of the <italic>oncobiome</italic>, microbial genetic and metabolic contributions to carcinogenesis, has emerged as a key framework linking urinary microbiota to urological cancers, suggesting novel avenues for biomarker discovery and therapeutic modulation (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Urinary biomarkers and non-invasive diagnostics</title>
<p>Over the past decade, the search for reliable non-invasive diagnostic tools in PDAC has increasingly focused on urine as a valuable biofluid. Its stability, ease of collection, and capacity to capture both systemic and tumor-specific molecular changes make it an attractive matrix for biomarker discovery. Notably, multiple studies have shown that urinary transcripts and proteins, particularly lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1), regenerating islet-derived protein 1 alpha/beta (REG1A/REG1B), and trefoil factor 1 (TFF1), are significantly elevated in PDAC and can effectively distinguish early-stage tumors from benign pancreatic or hepatobiliary conditions with high diagnostic accuracy. A combined three-marker panel incorporating LYVE-1, REG1A, and TFF1 achieved sensitivities of up to 96% and specificities approaching 100%, representing a major step forward toward early, non-invasive detection of PDAC (<xref ref-type="bibr" rid="B75">75</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>).</p>
<p>Building on these findings, the same group validated the diagnostic value of this urinary biomarker panel (PancRISK) in large, multicentric and pre-diagnostic cohorts, revealing its capacity to detect PDAC up to 2 years before clinical diagnosis. When combined with plasma CA19-9, the panel achieved an AUC of 0.89 for early-stage detection and maintained strong discriminative power for cases diagnosed up to 2 years later (<xref ref-type="bibr" rid="B77">77</xref>). This longitudinal validation supports the integration of urinary markers into risk-stratification algorithms, particularly for high-risk individuals such as those with chronic pancreatitis or new-onset diabetes.</p>
<p>Recent investigations have expanded the molecular spectrum of urinary biomarkers by incorporating inflammatory mediators and exosomal cargo. For instance, urinary C-reactive protein (uCRP) exhibited significant diagnostic performance when used alone or in combination with LYVE-1, REG1B, and TFF1, improving sensitivity and AUC values compared with plasma CA19-9 alone (<xref ref-type="bibr" rid="B78">78</xref>). Exosome-derived molecules have also gained attention as robust carriers of tumor-specific information. Exosomal RNA and protein signatures in blood and urine mirror oncogenic pathways, including immune escape, angiogenesis, and metabolic reprogramming, offering a stable medium for liquid biopsy applications (<xref ref-type="bibr" rid="B79">79</xref>). The urinary exosome compartment provides a particularly valuable window into pancreatic tumor biology, as small RNAs and microRNAs encapsulated within vesicles remain protected from degradation and can be detected non-invasively (<xref ref-type="bibr" rid="B80">80</xref>).</p>
<p>MicroRNA-based assays are currently among the most advanced urinary diagnostic strategies for PDAC. A multicenter study identified a urinary extracellular-vesicle miRNA panel capable of detecting PDAC across all stages, with AUC values exceeding 0.96 and sensitivity above 90% in early-stage disease (<xref ref-type="bibr" rid="B80">80</xref>). These miRNAs reflected tumor and microenvironmental expression patterns, supporting their biological relevance as surrogates of tumor activity. Similarly, serum-based miRNA sequencing combined with artificial intelligence models achieved near-perfect discrimination between PDAC and controls (AUC = 0.99), demonstrating the potential of machine-learning-enhanced molecular profiling for clinical translation (<xref ref-type="bibr" rid="B81">81</xref>).</p>
<p>Beyond nucleic acids, metabolomic profiling of urine provides complementary insight into PDAC pathophysiology. Systematic reviews have identified recurrent alterations in amino acid and lipid pathways, including changes in glucose, lactate, and bile acid metabolism, which reflect the metabolic reprogramming characteristic of pancreatic carcinogenesis (<xref ref-type="bibr" rid="B77">77</xref>). Specific urinary metabolites such as deoxycholic acid, identified in urinary biochemical ecology studies, have been linked to microbiome-associated metabolic disturbances and could serve as prognostic indicators for disease progression or recurrence (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>Parallel to these advances, novel serum markers continue to emerge that complement urinary diagnostics. Laminin &#x03B3;2 monomer (LG2m) has recently been identified as a circulating biomarker with higher diagnostic accuracy than CEA and CA19-9, achieving an AUC = 0.88 and providing prognostic value for treatment outcomes. Although serum-based, LG2m illustrates the importance of integrating multi-fluid biomarker systems where urinary, serum, and exosomal components provide a unified diagnostic landscape. Such multi-analyte panels, when combined with clinical parameters and imaging data, could redefine early PDAC screening strategies (<xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>Despite encouraging results, the clinical application of urine-based biomarkers for PDAC requires cautious interpretation. The three-protein panel (LYVE1, REG1B, TFF1), showed very high discriminative performance in retrospective samples: in the discovery/validation sets they reported an area under the ROC curve (AUC) of 0.97 (95% CI 0.94&#x2013;0.99), with sensitivity and specificity reportedly &#x003E;85% for early-stage PDAC vs. controls (<xref ref-type="bibr" rid="B83">83</xref>).</p>
<p>However, in subsequent longitudinal validation using pre-diagnostic urine samples (PancRISK), although still robust, performance was attenuated: the urine-based score combined with plasma CA19-9 achieved an AUC of 0.89 for early-stage PDAC detection, with sensitivity 72% and specificity 90% up to 1 year before diagnosis, a decline compared to the case-control setting (<xref ref-type="bibr" rid="B77">77</xref>).</p>
<p>Additional work indicates that integrating inflammatory markers (e.g., urinary C-reactive protein, uCRP) into the original panel enhances diagnostic accuracy (reported AUC &#x223C; 0.92), but these enhancements remain preliminary, and independent validation across diverse cohorts and analytical platforms is still lacking (<xref ref-type="bibr" rid="B77">77</xref>). Urine-derived molecular assays thus represent a compelling yet technically fragile frontier in PDAC detection, where analytical rigor and multicentric harmonization will determine their eventual clinical utility.</p>
</sec>
</sec>
<sec id="S4">
<title>Oral microbiome</title>
<p>Homeostasis between the human host and its resident oral microbiota is essential for maintaining normal physiological function (<xref ref-type="fig" rid="F1">Figure 1</xref>). The oral microbiome, one of the most diverse microbial ecosystems in the body, is shaped by a range of factors, including age, sex, oral hygiene, diet, and immune status. Dominant genera commonly identified in the oral cavity include <italic>Streptococcus</italic>, <italic>Haemophilus</italic>, <italic>Leptotrichia</italic>, <italic>Porphyromonas</italic>, <italic>Prevotella</italic>, <italic>Propionibacterium</italic>, <italic>Staphylococcus</italic>, <italic>Veillonella</italic>, and <italic>Treponema</italic> (<xref ref-type="bibr" rid="B30">30</xref>). Constantly exposed to exogenous microorganisms through breathing, eating, and drinking, the oral cavity functions as a dynamic interface between host immunity and the external environment (<xref ref-type="bibr" rid="B84">84</xref>). This continuous microbial influx complicates the distinction between resident and transient species. Nevertheless, accumulating evidence indicates that specific oral pathogens can disseminate beyond the oral cavity, via saliva, biliary pathways, hematogenous spread, or lymphatic transport, to distant organs such as the gastrointestinal tract and pancreas, where they may alter local microenvironments and promote tumorigenesis (<xref ref-type="bibr" rid="B85">85</xref>).</p>
<p>In a Chinese cohort comparing the oral microbiota of individuals with PC, benign pancreatic disease (BPD), and healthy controls (HC), significant compositional differences were observed. <italic>Proteobacteria</italic> dominated the oral microbiota of healthy and BPD groups, while <italic>Bacteroidetes</italic> predominated in the PC group (<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). At the family level, <italic>Leptotrichiaceae</italic>, <italic>Actinomycetaceae</italic>, <italic>Lachnospiraceae</italic>, <italic>Micrococcaceae</italic>, <italic>Erysipelotrichaceae</italic>, <italic>Coriobacteriaceae</italic>, and <italic>Moraxellaceae</italic> were enriched in PC, whereas <italic>Porphyromonadaceae</italic>, <italic>Campylobacteraceae</italic>, and <italic>Spirochaetaceae</italic> were depleted (<xref ref-type="bibr" rid="B87">87</xref>). Nonetheless, the relative abundance of these taxa exhibits substantial variation across geographic cohorts, sample sources, and sequencing methodologies. These inconsistencies highlight the necessity of standardized analytical frameworks and cross-cohort validation to ensure reproducibility and accurate interpretation of oral microbiome-cancer associations (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>). Notably, PC patients exhibited elevated levels of pro-inflammatory and immunosuppressive oral pathogens such as <italic>P. gingivalis</italic> and <italic>A. actinomycetemcomitans</italic>, which activate inflammatory cascades and impair immune surveillance (<xref ref-type="bibr" rid="B90">90</xref>). Conversely, reductions in commensal taxa like <italic>Leptotrichia</italic> and <italic>Fusobacterium nucleatum</italic> suggest that both pathogenic overgrowth and loss of beneficial species may drive carcinogenic processes (<xref ref-type="bibr" rid="B87">87</xref>).</p>
</sec>
<sec id="S5">
<title>Intrapancreatic microbiome</title>
<p>Once considered a sterile site, the pancreas is now recognized as a host to a distinct, low-biomass microbiome that becomes enriched and metabolically active during PC progression. However, this assertion must be interpreted with caution given the well-documented challenge of distinguishing genuine intrapancreatic microbial signals from reagent or procedural contaminants inherent to low-biomass tissues. Such contamination risks can confound sequencing-based analyses, underscoring the need for rigorous negative controls, contamination-aware bioinformatic filtering, and functional validation to confirm true microbial presence and activity (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>). Evidence indicates that both commensal and pathogenic microorganisms can translocate from the gut or oral cavity to the pancreatic tissue, where they reprogram the TME through immune modulation, inflammatory signaling, and metabolic interactions (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>).</p>
<p>In PDAC, the intrapancreatic microbiota is predominantly composed of taxa from the phyla Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria, with recurrent enrichment of genera such as <italic>Fusobacterium</italic>, <italic>Pseudomonas</italic>, <italic>Enterobacter</italic>, <italic>Escherichia</italic>, <italic>Klebsiella</italic>, <italic>Streptococcus</italic>, <italic>Bifidobacterium</italic>, and fungal species such as <italic>Malassezia</italic> (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B95">95</xref>). These microbial populations contribute to tumorigenesis by promoting both innate and adaptive immune suppression, expanding myeloid-derived suppressor cells (MDSCs) and regulatory T cells, while attenuating cytotoxic CD8<sup>+</sup> T-cell activity (<xref ref-type="bibr" rid="B36">36</xref>). Notably, <italic>F. nucleatum</italic> and <italic>Malassezia</italic> spp. accelerate PDAC progression by activating complement pathways, driving NF-&#x03BA;B dependent inflammation, and enhancing stromal fibrosis (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B96">96</xref>).</p>
<p>In contrast, long-term PDAC survivors display a unique microbial signature characterized by higher alpha diversity and enrichment of <italic>Pseudoxanthomonas</italic>, <italic>Saccharopolyspora</italic>, and <italic>Streptomyces</italic>, taxa linked to robust antitumor immune responses and improved overall survival (<xref ref-type="bibr" rid="B22">22</xref>). This compositional heterogeneity underscores the potential prognostic value of intrapancreatic microbial profiles.</p>
<p>Beyond tumorigenesis, intratumoral bacteria influence therapeutic efficacy through metabolic interactions and immune modulation. Certain taxa are capable of enzymatically modifying anticancer drugs, thereby contributing to variable treatment responses and chemoresistance in PDAC (<xref ref-type="bibr" rid="B21">21</xref>). Moreover, microbiome-driven transcriptional reprogramming within the tumor compartment promotes epithelial-to-mesenchymal transition and favors basal-like PDAC subtypes, which are associated with poor prognosis (<xref ref-type="bibr" rid="B95">95</xref>). Deep-sequencing of intratumoral microbiota has recently delineated <italic>core microbial consortia</italic> associated with stromal remodeling and therapy response. Enrichment of <italic>Pseudomonas aeruginosa</italic> and <italic>Klebsiella oxytoca</italic> correlates with elevated IL-1&#x03B2; and TGF-&#x03B2; signaling, potentiating desmoplasia and immune exclusion (<xref ref-type="bibr" rid="B97">97</xref>). Conversely, tumors harboring <italic>Bifidobacterium longum</italic> and <italic>Streptococcus mitis</italic> show enhanced MHC-I expression and improved responsiveness to gemcitabine (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>Altogether, these insights position the intrapancreatic microbiome as a dynamic and therapeutically relevant axis in PDAC biology, where precision modulation, via antibiotics, probiotics, or fecal microbiota transplantation (FMT), holds potential to enhance chemotherapeutic efficacy, sensitize tumors to immunotherapy, and reshape future paradigms in PC management (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>).</p>
</sec>
<sec id="S6">
<title>Microbiome bacteria associated with pancreatic cancer</title>
<p>Dysbiosis refers to an imbalance in the composition and function of the commensal microbiota, disrupting host-microbe equilibrium and predisposing to disease (<xref ref-type="bibr" rid="B101">101</xref>). In healthy individuals, the microbiota plays a central role in maintaining immune homeostasis, regulating metabolism, and suppressing opportunistic pathogens (<xref ref-type="bibr" rid="B102">102</xref>). However, when microbial balance is disturbed, a cascade of pro-inflammatory responses can be initiated. This inflammatory milieu disrupts host biochemical pathways and immune defenses, creating a permissive environment for disease progression and oncogenesis (<xref ref-type="bibr" rid="B103">103</xref>). In PDAC, dysbiosis-driven chronic inflammation has been linked to enhanced infiltration and activation of CD8<sup>+</sup> T cells, an immune response that paradoxically coexists with an immunosuppressive TME (<xref ref-type="bibr" rid="B104">104</xref>).</p>
<p>Specific microbial taxa have been shown to influence both the immune landscape and therapeutic response in PDAC. Certain <italic>Gammaproteobacteria</italic> harbor cytidine-deaminase enzymes that metabolize gemcitabine into inactive derivatives, illustrating how microbial enzymatic activity can directly influence pharmacologic efficacy and therapeutic outcomes in PDAC (<xref ref-type="bibr" rid="B105">105</xref>). Another key oncomicrobe, <italic>Fusobacterium nucleatum</italic>, a Gram-negative anaerobe typically resident in the oral cavity, has been detected in both colorectal and pancreatic tumors. Under pathological conditions, it disseminates systemically, promoting tumor growth, immune evasion, and epigenetic silencing of tumor suppressor genes through hypermethylation and microsatellite instability. Mechanistically, <italic>F. nucleatum</italic> enhances secretion of IL-8 and CXCL1 and disrupts the centrosomal protein CEP55, facilitating malignant transformation (<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B107">107</xref>). <italic>Enterococcus faecalis</italic>, a Gram-positive facultative anaerobe, also emerges as a relevant organism in PDAC. Normally residing in the gut, <italic>E. faecalis</italic> has been detected in pancreatic juice and tissue of patients with suspected malignancy. Its resistance to alkaline environments enables survival in the pancreatic duct, where it may invade host cells via endocytosis, supporting its role as a potential microbial biomarker for PC (<xref ref-type="bibr" rid="B108">108</xref>).</p>
<p>While classically linked to gastric carcinogenesis, <italic>Helicobacter pylori</italic> is increasingly associated with pancreatic tumorigenesis. Two primary mechanisms have been proposed: (i) chronic infection leading to depletion of antral D-cells and reduced somatostatin, which in turn elevates secretin and bicarbonate secretion, inducing pancreatic ductal hyperplasia; and (ii) bacterial overgrowth and gastric hypoacidity fostering N-nitrosamine formation, potent carcinogens that cause DNA damage and neoplastic transformation (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>Another notable oral pathogen, <italic>P. gingivalis</italic>, has also been linked to PDAC. Primarily associated with periodontitis, <italic>P. gingivalis</italic> can invade the pancreas and trigger systemic inflammatory responses (<xref ref-type="bibr" rid="B110">110</xref>). Once established in the pancreatic tissue, it releases peptidyl-arginine deiminase (PAD), which promotes the formation of neutrophil extracellular traps (NETs). These, in turn, stimulate the release of pro-tumorigenic chemokines such as CXCL1, CXCL2, and neutrophil elastase, contributing to fibrosis, metastasis, immune evasion, and enhanced tumor proliferation (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B111">111</xref>).</p>
<p>Together, these microbial communities orchestrate chronic inflammation, immune dysregulation, epigenetic remodeling, and metabolic interference with chemotherapy, progressively transforming the TME into an immune-suppressive, pro-tumorigenic niche that underscores the microbiome&#x2019;s role as a mechanistic driver and clinically actionable target in PDAC (<xref ref-type="bibr" rid="B112">112</xref>, <xref ref-type="bibr" rid="B113">113</xref>).</p>
</sec>
<sec id="S7">
<title>Inflammatory mechanisms mediated by the microbiome in pancreatic cancer</title>
<p>The human gastrointestinal microbiota, primarily composed of four dominant phyla: <italic>Firmicutes, Bacteroidetes, Actinobacteria</italic>, and <italic>Proteobacteria</italic>, plays a fundamental role in the development and modulation of both the innate and adaptive immune systems (<xref ref-type="bibr" rid="B114">114</xref>). Disruptions to this microbial balance, or dysbiosis, can lead to chronic inflammation, genomic instability in pancreatic acinar cells, and impaired antitumor immune surveillance, key factors in the pathogenesis of PDAC (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Epidemiological data consistently implicate the oral microbiota as a contributor to PC risk. Elevated oral abundance of <italic>P. gingivalis</italic> (OR 1.6; 95% CI 1.15&#x2013;2.22) and <italic>A. actinomycetemcomitans</italic> (OR 2.22; 95% CI 1.16&#x2013;4.18) has been significantly associated with increased PDAC susceptibility (<xref ref-type="bibr" rid="B90">90</xref>). Beyond individual species, a meta-analysis of eight observational studies reported a higher incidence of PC in individuals with periodontitis (RR 1.74; 95% CI 1.41&#x2013;2.15) and in edentulous subjects (RR 1.54; 95% CI 1.16&#x2013;2.05), independent of confounders such as age, smoking, diabetes, or alcohol use (<xref ref-type="bibr" rid="B115">115</xref>). Expanding on these associations, pooled data from 14 observational studies (<italic>n</italic> = 1,276; 285 PDAC, 342 chronic pancreatitis, 649 controls) revealed enrichment of <italic>Actinomyces</italic>, <italic>Bifidobacterium</italic>, <italic>Veillonella</italic>, and <italic>Escherichia-Shigella</italic>, alongside depletion of <italic>Firmicutes</italic> in PDAC cohorts (<xref ref-type="bibr" rid="B116">116</xref>). Similarly, retrospective biliary tract analyses identified dominant Gram-negative taxa, <italic>E. coli</italic>, <italic>Klebsiella</italic> spp., and <italic>Pseudomonas</italic> spp., in PDAC but not in extra-pancreatic malignancies, suggesting their involvement in sustaining localized inflammatory and pro-tumorigenic signaling (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>The well-recognized association between chronic pancreatitis and PC further underscores the oncogenic role of persistent inflammation (<xref ref-type="bibr" rid="B118">118</xref>). Inflammation-induced remodeling of the TME drives PDAC progression. The PDAC TME is dominated by a dense desmoplastic stroma, constituting up to 90% of the tumor mass, rich in pancreatic stellate cells, fibroblasts, macrophages, neutrophils, regulatory T cells, and myeloid-derived suppressor cells (MDSCs). This fibrotic niche, defined by hypoxia, acidity, and poor perfusion, facilitates immune evasion and therapeutic resistance (<xref ref-type="bibr" rid="B119">119</xref>). Elevated systemic concentrations of IL-6, IL-8, and IL-10 have been linked to reduced overall survival in PDAC patients (HR 0.204, 0.303, 0.336; all <italic>p</italic> &#x003C; 0.05), highlighting their prognostic significance (<xref ref-type="bibr" rid="B120">120</xref>). Mechanistically, microbial dysbiosis triggers Toll-like receptor (TLR) activation in monocytes, promoting their M2 macrophage polarization and IL-10 secretion, thereby suppressing cytotoxic T-cell responses. TLR-mediated signaling also supports MDSC expansion and Th2 differentiation while impairing Th1 and CD8<sup>+</sup> T-cell activity (<xref ref-type="bibr" rid="B121">121</xref>). Key cytokines within the TME, including GM-CSF and CXCL1, further sustain metastatic potential and chemotherapy resistance (<xref ref-type="bibr" rid="B111">111</xref>). These findings delineate a microbiome-immune axis that orchestrates chronic inflammation, immune tolerance, and stromal remodeling in PDAC. Microbial dysbiosis emerges not merely as a byproduct of disease but as a central driver of tumor-promoting immunity, positioning the microbiome as a promising frontier for biomarker discovery and targeted intervention in PC (<xref ref-type="bibr" rid="B122">122</xref>).</p>
<p>Integrative analyses underscore that the microbiome-immune-stromal triad governs PDAC evolution. Single-cell transcriptomic and metagenomic coupling demonstrated that microbial lipopolysaccharide and peptidoglycan signatures activate tumor-associated fibroblasts, inducing CXCL12-mediated immune sequestration and chemoresistance (<xref ref-type="bibr" rid="B38">38</xref>). This microbial-stromal axis adds a new mechanistic layer to chronic inflammation and may explain why anti-inflammatory interventions alone yield limited efficacy (<xref ref-type="bibr" rid="B97">97</xref>).</p>
</sec>
<sec id="S8">
<title>Therapeutic response and the microbiome</title>
<p>Current therapeutic strategies for PC primarily involve surgical resection, when feasible, in combination with adjuvant systemic chemotherapy, with or without radiotherapy. Commonly employed chemotherapy regimens include gemcitabine monotherapy, gemcitabine plus capecitabine or cisplatin, and folfirinox (a combination of fluorouracil, leucovorin, irinotecan, and oxaliplatin) (<xref ref-type="bibr" rid="B123">123</xref>). Despite these interventions, treatment outcomes remain poor, with minimal improvement in long-term survival. Both chemotherapy and radiotherapy disrupt intestinal mucosal integrity, promoting dysbiosis characterized by loss of microbial diversity and functional imbalance. This microbial disruption aggravates gastrointestinal toxicity, manifested as nausea, vomiting, and diarrhea, and impairs anti-tumor immunity, further limiting therapeutic efficacy (<xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B125">125</xref>).</p>
<p>Bacterial cytidine deaminase converts gemcitabine into its inactive metabolite, 2&#x2032;,2&#x2032;-difluorodeoxyuridine, thereby reducing intracellular drug availability and fostering chemoresistance. This mechanism, identified in <italic>Gammaproteobacteria</italic> such as <italic>E. coli</italic> and <italic>Klebsiella pneumoniae</italic>, exemplifies the metabolic interplay between tumor-associated microbes and pharmacologic response. Translational evidence links elevated microbial cytidine-deaminase activity with diminished chemotherapeutic efficacy in PDAC, underscoring the potential of microbiome-targeted strategies to restore drug sensitivity and improve patient outcomes (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B126">126</xref>).</p>
<p>Certain gut taxa counteract these adverse effects by enhancing immune surveillance and metabolic homeostasis. <italic>Bifidobacterium</italic> and <italic>Faecalibacterium</italic>, for instance, ferment dietary substrates into SCFAs such as butyrate, which exert potent anti-inflammatory and immunomodulatory functions (<xref ref-type="bibr" rid="B127">127</xref>). Butyrate enhances cytotoxic responses by stimulating CD4<sup>+</sup> and CD8<sup>+</sup> T cells to produce interferon-&#x03B3; (IFN-&#x03B3;), facilitating tumor-infiltrating lymphocyte recruitment and malignant cell clearance (<xref ref-type="bibr" rid="B128">128</xref>). Conversely, intestinal dysbiosis can attenuate chemotherapy responsiveness. In a murine model, Kesh et al. showed that diabetic mice with altered gut microbiota developed resistance to gemcitabine/paclitaxel compared to non-diabetic controls, underscoring the microbiome&#x2019;s influence on pharmacodynamics (<xref ref-type="bibr" rid="B129">129</xref>).</p>
<p>The PDAC immune landscape is further shaped by checkpoint pathways such as PD-1/PD-L1 and CTLA-4, which suppress T-cell activity. Immune checkpoint inhibitors (ICIs) restore anti-tumor immunity by blocking these inhibitory signals (<xref ref-type="bibr" rid="B130">130</xref>). Notably, antibiotic-induced microbial depletion increased PD-L1 expression and enhanced ICI efficacy in PDAC mouse models (<xref ref-type="bibr" rid="B21">21</xref>). Yet some microorganisms foster chemoresistance. <italic>E. coli</italic> and <italic>Saccharomyces cerevisiae</italic> express cytidine deaminase, which inactivates gemcitabine by converting it into 2&#x2032;,2&#x2032;-difluorodeoxyuridine (<xref ref-type="bibr" rid="B126">126</xref>). In a cohort of 712 early-stage PDAC patients, antibiotic administration within 1 month of chemotherapy initiation improved overall survival by 37% and cancer-specific survival by 30%, though at the cost of increased treatment-related toxicity (<xref ref-type="bibr" rid="B131">131</xref>). Similarly, concurrent antibiotic use in metastatic PDAC was associated with higher rates of hematological toxicity, including anemia, thrombocytopenia, leukopenia, and neutropenia (<xref ref-type="bibr" rid="B132">132</xref>).</p>
<p>Microbiome modulation has therefore emerged as a promising adjunctive strategy. Probiotic-derived metabolites such as ferrichrome from <italic>Lactobacillus casei</italic> trigger p53-dependent apoptosis and DNA fragmentation in chemoresistant cancer cells, reducing tumor burden in murine models (<xref ref-type="bibr" rid="B133">133</xref>). Likewise, butyrate produced by <italic>Firmicutes</italic> preserves epithelial barrier integrity and suppresses neoplastic transformation in gemcitabine-treated mice (<xref ref-type="bibr" rid="B134">134</xref>). Another promising approach is FMT. In a seminal study, Riquelme et al. transplanted fecal samples from long-term (&#x003E;5 years) and short-term (&#x003C;5 years) PDAC survivors into murine models. Mice receiving microbiota from long-term survivors exhibited significantly reduced tumor growth, suggesting that specific microbial configurations may contribute to better clinical outcomes (<xref ref-type="bibr" rid="B22">22</xref>). Building on these findings, a phase I clinical trial (NCT04975217) is currently evaluating the safety and efficacy of FMT in PDAC patients undergoing surgical resection (<xref ref-type="bibr" rid="B71">71</xref>). While preclinical studies highlight the therapeutic promise of microbiota modulation, translation into routine clinical practice remains limited, and robust, randomized trials are essential to determine efficacy, safety, and durability of response in humans.</p>
<p>Building on this rationale, integrative immunotherapy platforms now combine checkpoint modulators, oncolytic or vaccine approaches, and engineered immune cells within microbiome-aware frameworks. These strategies exploit microbial influences on antigen presentation, cytokine balance, and myeloid polarization, aligning with chronotherapy-based and aI-assisted response modeling (<xref ref-type="bibr" rid="B135">135</xref>). However, some mechanistic frameworks, such as the proposed neuro-immune&#x2013;microbiota axis, are supported largely by studies in colorectal, gastric, and neuroinflammatory disease models rather than pDAC-specific evidence. in these systems, neuropeptides (e.g., CGRP, substance P, VIP) reshape fibroblast activation, myeloid behavior, and lymphocyte trafficking, processes that may be relevant to PDAC but remain insufficiently validated in this tumor type (<xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B137">137</xref>). Parallel advances nonetheless suggest that neuronal stress and neuromodulatory signaling could influence stromal architecture and immune tone. Accordingly, we present the neuro-immune&#x2013;microbiota axis as an emerging, hypothesis-generating concept that warrants targeted mechanistic investigation before clinical integration in PDAC (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="S9">
<title>Methodological considerations and limitations</title>
<sec id="S9.SS1">
<title>Contamination challenges in low-biomass microbiome studies</title>
<p>Low-biomass microbiome research, including studies of pancreatic tissue, cystic lesions, and bile, faces persistent obstacles related to contamination that can easily overshadow genuine microbial signals. In these environments, the host-to-microbe DNA ratio often exceeds 10<sup>6</sup>:1, meaning that even trace exogenous DNA from reagents, air, or cross-sample contact may generate false positives and distort community profiles. These challenges are particularly significant in pancreatic cancer research, where the existence of a stable &#x201C;intrapancreatic microbiome&#x201D; remains under debate (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>Quantitative analyses have demonstrated that, even when strict decontamination protocols are applied, residual contamination can still bias statistical outcomes. When more than ten contaminant taxa are present, false positives in differential abundance analysis increase substantially, affecting downstream interpretation. However, when validated protocols and internal negative controls are employed, contamination exerts minimal influence on overall diversity metrics. Internal negative controls are thus preferred over universal &#x201C;contaminant lists,&#x201D; which have shown high inconsistency between studies and lack reproducibility (<xref ref-type="bibr" rid="B91">91</xref>).</p>
<p>The debate over contamination is particularly evident in pancreatic research. Studies using advanced sequencing and decontamination workflows have shown that microbial reads in pancreatic tissue are extremely sparse and often comparable to those in negative controls. In analyses of intraductal papillary mucinous neoplasms, microbial signatures were indistinguishable from sterile syringes collected in the same surgical setting, indicating that prior invasive procedures or environmental exposure likely introduced bacterial DNA rather than reflecting true colonization (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B138">138</xref>).</p>
<p>Low-biomass studies also suffer from host-DNA misclassification, database contamination, and batch effects that amplify artifactual patterns. Computational pipelines have shown that the majority of microbial reads in blood or tissue datasets may derive from misannotated host sequences or residual reagent DNA. The use of machine learning and reference-based filtering has improved precision, yet even the most robust bioinformatic pipelines can be compromised by cross-contamination among wells or by sequencing run variability (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B140">140</xref>).</p>
<p>Evidence from pancreatic cancer further illustrates these limitations. Analyses of pancreatic tumors and adjacent tissues revealed uniformly low bacterial biomass, comparable to negative controls, suggesting that much of the detected DNA arises from contamination rather than viable microorganisms. These findings contrast with earlier preclinical work that attributed chemotherapy resistance to <italic>Gammaproteobacteria</italic> capable of metabolizing gemcitabine. Similarly, meta-analyses linking tumor-associated bacteria to therapeutic outcomes must be interpreted cautiously, as low microbial loads and sequencing artifacts can mimic true microbial presence. While some studies reported bacterial metabolites influencing chemotherapy efficacy, contamination remains a confounding factor that challenges reproducibility (<xref ref-type="bibr" rid="B141">141</xref>, <xref ref-type="bibr" rid="B142">142</xref>).</p>
<p>Research addressing metabolic and environmental modifiers of pancreatic carcinogenesis has also acknowledged the complexity of low-biomass detection. Experimental models investigating obesity-driven changes in pancreatic microbiota have reported microbial shifts accompanying accelerated tumor progression, but these differences may reflect contamination from intestinal sources or amplification bias inherent to low microbial loads (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>At the methodological level, international guidelines now provide clear frameworks to prevent and report contamination. The consensus emphasizes that contamination cannot be completely eliminated but must be minimized through procedural rigor at every step. Recommended measures include the use of single-use DNA-free consumables, ethanol and nuclease decontamination, ultraviolet sterilization of laboratory surfaces, and inclusion of multiple negative and positive controls throughout sampling and library preparation. Transparent reporting of all decontamination and sequencing procedures is essential to ensure reproducibility and data comparability (<xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B144">144</xref>).</p>
</sec>
<sec id="S9.SS2">
<title>Cohort variability and sequencing platform bias</title>
<p>Inter-study variability remains a fundamental challenge in microbiome-oncology, particularly in low-biomass environments such as the pancreatic tumor microenvironment. Differences in cohort composition, geographical origin, disease stage, biospecimen type, and clinical handling, together with technical discrepancies in DNA extraction, library preparation, and sequencing platform, create substantial heterogeneity that can obscure genuine microbial signals. Comparative meta-analyses reveal that even studies targeting the same malignancy often produce discordant microbial signatures, largely driven by methodological inconsistencies and platform-dependent bias (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>).</p>
<p>A major source of variability arises from sequencing methodology. Shallow shotgun metagenomics provides lower technical variation and greater taxonomic resolution than 16S rRNA sequencing, while maintaining cost efficiency for large-scale studies. However, both approaches remain susceptible to upstream biases during DNA extraction and amplification. Primer choice, GC-content bias, and library preparation can all influence the observed microbial community composition, underscoring that every step from sample collection to sequencing may introduce systematic distortion (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B145">145</xref>).</p>
<p>Sequencing platform bias also propagates through downstream bioinformatics pipelines. Even when standardized reference databases are applied, subtle algorithmic variations in classification can yield divergent abundance profiles. Batch effects further compound this variability by introducing non-biological differences across sequencing runs or laboratories; correction models such as ConQuR mitigate these effects using conditional quantile regression while preserving biological signals (<xref ref-type="bibr" rid="B146">146</xref>). Similarly, meta-analytic frameworks like Melody harmonize summary statistics across studies while accounting for compositionality and variable sequencing depth, thereby improving the generalizability of microbial signatures (<xref ref-type="bibr" rid="B147">147</xref>).</p>
<p>Cross-cohort variability remains equally problematic. Large-scale pooled analyses, such as the 18-cohort meta-analysis of 3,741 stool metagenomes in colorectal cancer, have shown that prediction models trained in one dataset frequently underperform in others, even when identical analytical pipelines are applied. Microbial risk scores developed in one population often lose discriminatory power when transferred to other cohorts, reflecting strong geographic and cohort-specific confounding (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B148">148</xref>).</p>
<p>In pancreatic cancer research, this issue is particularly pronounced. Differences in tissue acquisition methods, such as endoscopic ultrasound (EUS)-guided biopsy versus surgical resection, and sequencing modality can profoundly affect transcriptional and cellular composition profiles, influencing inferred tumor microenvironmental states (<xref ref-type="bibr" rid="B149">149</xref>). Pre-analytical variation and normalization strategies also significantly alter cfRNA biomarker detection in PDAC, reinforcing that handling and sequencing consistency are crucial for reliable cross-cohort biomarker validation (<xref ref-type="bibr" rid="B150">150</xref>).</p>
<p>Efforts to mitigate these discrepancies through database harmonization are exemplified by the GMrepo v3 initiative, which curated nearly 119,000 microbiome datasets under uniform analytical pipelines and introduced the Marker Consistency Index (MCI) to quantify reproducibility across diseases. This initiative demonstrated that fewer than half of reported microbial biomarkers remain directionally consistent across independent projects, emphasizing the pervasive impact of technical and cohort heterogeneity. Complementarily, integrative genomic studies in PDAC have revealed that even non-coding mutational landscapes can differ between treated and untreated cohorts due to batch-related artifacts and analytical pipeline discrepancies (<xref ref-type="bibr" rid="B151">151</xref>, <xref ref-type="bibr" rid="B152">152</xref>).</p>
</sec>
<sec id="S9.SS3">
<title>Limitations of 16S rRNA compared to shotgun metagenomics</title>
<p>The 16S rRNA gene sequencing approach, although fundamental in microbiome studies, presents intrinsic limitations when compared to shotgun metagenomics. By amplifying specific hypervariable regions of a single conserved gene, 16S sequencing cannot differentiate closely related species or strains, many of which play distinct biological roles in carcinogenesis and immune modulation (<xref ref-type="bibr" rid="B153">153</xref>). The dependence on primer selection and amplification cycles introduces compositional bias, while the variability in 16S gene copy number across taxa distorts relative abundance estimates and complicates comparisons across cohorts. These limitations are exacerbated in pancreatic cancer research, where microbial biomass is extremely low, making the method highly susceptible to contamination and stochastic amplification errors (<xref ref-type="bibr" rid="B145">145</xref>, <xref ref-type="bibr" rid="B154">154</xref>).</p>
<p>A critical shortcoming of 16S rRNA sequencing lies in its limited functional capacity. It relies on predictive algorithms such as PICRUSt or Tax4Fun to infer gene content and pathway activity, which often misrepresent the actual functional landscape of microbial communities. Shotgun metagenomics, in contrast, sequences all genetic material within a sample, enabling direct detection of microbial genes, virulence determinants, antibiotic resistance markers, and metabolic pathways (<xref ref-type="bibr" rid="B153">153</xref>, <xref ref-type="bibr" rid="B155">155</xref>).</p>
<p>Comparative analyses have demonstrated that shotgun metagenomics identifies a broader and more accurate range of taxa than 16S sequencing. For instance, it captures rare or low-abundance species that exert significant metabolic or immunological influence on the tumor microenvironment (<xref ref-type="bibr" rid="B145">145</xref>). In PDAC cohorts, shotgun-based profiling has revealed microbial and viral biomarkers capable of distinguishing cancer from control samples with high reproducibility across geographic populations. Such cross-cohort consistency remains unachievable with 16S sequencing, which often produces variable results due to primer bias and insufficient resolution (<xref ref-type="bibr" rid="B155">155</xref>, <xref ref-type="bibr" rid="B156">156</xref>).</p>
<p>16S sequencing also excludes large components of the microbiome, including fungi, viruses, and archaea, which collectively shape cancer-associated microbial networks. Shotgun metagenomics overcomes this limitation by simultaneously capturing multi-kingdom microbial DNA, thereby enabling integrative bacteriome-mycobiome-virome analyses (<xref ref-type="bibr" rid="B157">157</xref>). In biliary and pancreatic cancer studies, shotgun sequencing uncovered fungal enrichment and dysregulated pathways involving sphingolipid, bile acid, and fatty acid metabolism, highlighting functional cross-talk between bacterial and fungal communities that would remain invisible with 16S-based approaches (<xref ref-type="bibr" rid="B158">158</xref>).</p>
<p>Differences in quantitative accuracy are equally pronounced. While both methods can resolve high-level taxonomic patterns, shotgun metagenomics provides finer species- and strain-level resolution, improving ecological interpretation and clinical relevance. It has demonstrated superior accuracy in quantifying taxa abundance and detecting disease-related shifts in low-abundance microbial populations. These advantages are particularly meaningful in PDAC, where microbial heterogeneity and low biomass require both sensitivity and precision to detect biologically relevant taxa (<xref ref-type="bibr" rid="B156">156</xref>, <xref ref-type="bibr" rid="B157">157</xref>).</p>
<p>From a technical perspective, 16S sequencing suffers from low reproducibility due to its dependence on primer design, read depth, and clustering algorithms. In contrast, shallow shotgun metagenomics achieves robust reproducibility with reduced technical variation while maintaining comprehensive taxonomic and functional coverage (<xref ref-type="bibr" rid="B159">159</xref>). Its lower cost compared to deep sequencing makes it a practical alternative for large-scale microbiome studies, combining resolution and feasibility. Furthermore, in clinical samples such as bile or pancreatic fluid, metagenomic next-generation sequencing (mNGS) exhibits greater pathogen detection sensitivity and higher diagnostic concordance than both culture and 16S methods (<xref ref-type="bibr" rid="B145">145</xref>, <xref ref-type="bibr" rid="B160">160</xref>).</p>
</sec>
</sec>
<sec id="S10">
<title>Conclusion and future perspectives</title>
<p>The intricate interplay between the gastrointestinal, urogenital, oral, and intrapancreatic microbiomes and PC highlights a paradigm shift in our understanding of tumorigenesis, inflammation, and therapeutic resistance. Mounting evidence demonstrates that the microbiota is not merely a bystander but an active participant in modulating pancreatic oncogenesis, immune evasion, and chemoresistance (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B103">103</xref>). The gut microbiome influences PC onset and progression through dysbiosis, metabolite dysregulation, and immunosuppressive signaling, an axis that holds significant diagnostic and therapeutic potential (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Concurrently, urogenital microbiota signatures, particularly urinary metabolites and exosomal microRNAs, have emerged as promising non-invasive biomarkers (<xref ref-type="bibr" rid="B51">51</xref>). The oral microbiome, especially species such as <italic>F. nucleatum</italic> and <italic>P. gingivalis</italic>, has been associated with increased PC risk, suggesting potential utility in early detection through salivary or dental microbiota screening (<xref ref-type="bibr" rid="B90">90</xref>). Notably, the pancreatic TME harbors a low-biomass but metabolically active intratumoral microbiota, composed mainly of <italic>Fusobacterium</italic>, <italic>Pseudomonas</italic>, <italic>Klebsiella</italic>, <italic>Escherichia</italic>, <italic>Streptococcus</italic>, <italic>Bifidobacterium</italic>, and <italic>Malassezia</italic> species, which promotes immune suppression, modulates antitumor immunity, and inactivates drugs like gemcitabine through microbial enzymes (<xref ref-type="bibr" rid="B93">93</xref>). Throughout this review, we distinguish mechanisms supported by direct PDAC evidence from those inferred from other malignancies or systemic disease models, explicitly framing the latter as emerging and hypothesis-generating axes.</p>
<p>Emerging evidence positions the microbiome as a metabolic, immunologic, and stromal integrator of pancreatic carcinogenesis. High-resolution multi-omic datasets reveal that intratumoral microbial genes regulating nucleotide salvage and SCFA synthesis predict immunotherapy responsiveness and survival (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B98">98</xref>). Likewise, microbiota-driven metabolic rewiring, particularly involving the tryptophan-kynurenine and bile-acid axes, defines the inflammatory and immunometabolic trajectories of PDAC progression (<xref ref-type="bibr" rid="B32">32</xref>). These insights expand the conventional view of dysbiosis beyond compositional shifts, highlighting functionally active microbial pathways that interface with oncogenic signaling and therapeutic resistance. At the same time, several of these functional links are more robustly established in colorectal and hepatobiliary cancers or metabolic disease than in PDAC, underscoring the need for dedicated pancreas-focused validation. In parallel, comparative work has exposed substantial cross-cohort and platform-dependent variability in microbial signatures, showing that many candidate &#x201C;oncomicrobes&#x201D; and risk scores lose discriminatory power when transferred across populations, especially when derived from 16S rRNA sequencing rather than shotgun metagenomics or multi-kingdom profiling. Consequently, future PDAC microbiome frameworks must integrate robust, harmonized pipelines (including shallow shotgun metagenomics, virome/mycobiome interrogation, and standardized analytical workflows) to move from cohort-specific associations toward reproducible, clinically actionable signatures (<xref ref-type="bibr" rid="B147">147</xref>, <xref ref-type="bibr" rid="B161">161</xref>&#x2013;<xref ref-type="bibr" rid="B163">163</xref>).</p>
<p>Beyond composition alone, an emerging temporal layer has been proposed to integrate the gut&#x2013;pancreas axis with host clocks: peripheral circadian oscillators in the gut and pancreas coordinate immune tone, metabolic flux (e.g., bile-acid and tryptophan pathways), and barrier function, while diurnal microbiota rhythms reciprocally entrain clock gene programs in distal tissues (<xref ref-type="bibr" rid="B164">164</xref>&#x2013;<xref ref-type="bibr" rid="B167">167</xref>). To date, these circadian&#x2013;microbiome interactions have been demonstrated predominantly in metabolic and gastrointestinal disease models rather than in PDAC-specific cohorts. Disruption of this bidirectional circuit, by shift work, irregular feeding, or metabolic stress, induces dysbiosis, amplifies inflammatory signaling, and degrades antitumor immunity in experimental systems, raising the hypothesis that similar perturbations could contribute to pancreatic tumor promotion and therapy resistance (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B165">165</xref>, <xref ref-type="bibr" rid="B166">166</xref>). We therefore consider the circadian&#x2013;microbiome&#x2013;pancreas axis a conceptual, hypothesis-generating framework that requires targeted mechanistic and clinical studies in PDAC. Conceptually, microbe-host control of gene regulation extends to epigenetic remodeling: in virus-driven cancers, oncoproteins rewire DNA methylation and histone marks to sustain immune evasion and oncogenic transcriptional states, an instructive paradigm that underscores how exogenous biological agents can durably program host chromatin and suggests analogous, testable mechanisms for microbiome-linked PDAC biomarkers and interventions (<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B168">168</xref>).</p>
<p>Mechanistically, inflammation remains central. Microbiota-induced immune dysregulation, including T cell exhaustion and myeloid cell reprogramming, drives tumor progression and therapy failure (<xref ref-type="bibr" rid="B44">44</xref>). Certain bacteria, such as <italic>Enterococcus faecalis</italic> and <italic>H. pylori</italic>, have been shown to invade pancreatic tissue, exacerbating inflammation and mutagenesis (<xref ref-type="bibr" rid="B108">108</xref>). Bacterial colonization of the pancreatic TME is now recognized not as incidental but as functionally active. Intratumoral microbiota may directly contribute to chemoresistance through enzymatic drug degradation, particularly against gemcitabine, and modulate immunosurveillance. Microbiota-driven inflammatory circuits, particularly those involving LPS-TLR4 and downstream cytokine signaling, remain pivotal in sustaining immune evasion and tumor progression (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B112">112</xref>). Emerging research highlights that the microbiome also modulates therapeutic response. Strategies such as FMT, narrow-spectrum antibiotics, or probiotic regimens are being explored to improve immunotherapy outcomes or reverse drug resistance. These approaches are especially relevant in the era of precision oncology, where patient-specific microbial signatures could inform individualized treatments (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B71">71</xref>). Yet, recent low-biomass and contamination-aware re-analyses caution that some earlier associations between intratumoral bacteria and gemcitabine inactivation or ICI response may have overestimated microbial contribution, emphasizing the need to corroborate sequencing-based findings with culture, metabolomics, gnotobiotic models, and spatially resolved host&#x2013;microbe mapping before translating them into routine clinical practice. Single-cell and spatial multi-omic studies that jointly profile fibroblasts, myeloid cells, lymphocytes, and microbial or microbial-derived signals are poised to refine which immune&#x2013;stromal circuits are truly microbiome-dependent versus driven by tumor-intrinsic programs (<xref ref-type="bibr" rid="B169">169</xref>&#x2013;<xref ref-type="bibr" rid="B171">171</xref>).</p>
<p>Looking forward, the microbiome stands as both a risk factor and therapeutic ally in PC, a duality that, if effectively decoded, may revolutionize prevention, early diagnosis, and individualized therapy in this highly lethal malignancy (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B166">166</xref>). Harnessing multi-omic profiling to disentangle the complex host-microbiome-tumor crosstalk offers a promising avenue to identify mechanistic drivers and actionable biomarkers. Integrative analyses combining metagenomics, transcriptomics, metabolomics, and immunomics have already revealed microbial fingerprints with diagnostic and therapeutic relevance (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B132">132</xref>). Prospective, longitudinal clinical trials are urgently needed to evaluate the efficacy and safety of microbiome-informed diagnostics and therapeutics in PC (<xref ref-type="bibr" rid="B111">111</xref>). In this context, enthusiasm for urine-based and serum-based biomarker panels must be tempered by evidence that diagnostic performance often attenuates in pre-diagnostic, screening-like settings compared with retrospective case&#x2013;control cohorts, and that analytical variability across platforms can substantially affect sensitivity and specificity. Harmonized pre-analytical protocols, external quality assessment schemes, and regulatory-grade validation (including multi-center, multi-ethnic cohorts) will be required before microbiome-derived or microbiome-reflective biomarkers can be responsibly incorporated into PDAC surveillance algorithms for high-risk populations (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B172">172</xref>).</p>
<p>The coming decade may well redefine PC management through the lens of microbial ecology. Integrative microbiome profiling will likely transform microbial ecosystems into actionable determinants of therapeutic precision, bridging the gap between microbial biology and individualized cancer management, and positioning microbiome modulation as a cornerstone of next-generation PC prevention and treatment (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B167">167</xref>, <xref ref-type="bibr" rid="B168">168</xref>). Key priorities will include (i) establishing international PDAC microbiome consortia with shared biobanking and harmonized sequencing pipelines; (ii) embedding microbiome endpoints into interventional trials of chemotherapy, radiotherapy, and immunotherapy; (iii) rationally designing microbiome-targeted interventions (live biotherapeutics, diet-based strategies, narrow-spectrum antibiotics, engineered phages, or FMT) with clear mechanistic hypotheses; and (iv) ensuring that data and analytical tools remain openly accessible to accelerate replication, meta-analysis, and translation. If these goals are met, the microbiome may transition from a descriptive biomarker of PDAC to a controllable axis of disease modification and therapeutic optimization.</p>
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</body>
<back>
<sec id="S11" sec-type="author-contributions">
<title>Author contributions</title>
<p>JB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RB-G: Data curation, Formal analysis, Investigation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. FM-H: Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MM-C: Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MB-N: Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CV-A: Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AL-C: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S13" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S14" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="S15" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>JX</given-names></name> <name><surname>Zhao</surname> <given-names>CF</given-names></name> <name><surname>Chen</surname> <given-names>WB</given-names></name> <name><surname>Liu</surname> <given-names>QC</given-names></name> <name><surname>Li</surname> <given-names>QW</given-names></name> <name><surname>Lin</surname> <given-names>YY</given-names></name><etal/></person-group> <article-title>Pancreatic cancer: a review of epidemiology, trend, and risk factors.</article-title> <source><italic>World J Gastroenterol</italic>.</source> (<year>2021</year>) <volume>27</volume>:<fpage>4298</fpage>&#x2013;<lpage>321</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v27.i27.4298</pub-id> <pub-id pub-id-type="pmid">34366606</pub-id></mixed-citation></ref>
<ref id="B2">
<label>2.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Halbrook</surname> <given-names>CJ</given-names></name> <name><surname>Lyssiotis</surname> <given-names>CA</given-names></name> <name><surname>Pasca di Magliano</surname> <given-names>M</given-names></name> <name><surname>Maitra</surname> <given-names>A</given-names></name></person-group>. <article-title>Pancreatic cancer: advances and challenges.</article-title> <source><italic>Cell</italic>.</source> (<year>2023</year>) <volume>186</volume>:<fpage>1729</fpage>&#x2013;<lpage>54</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2023.02.014</pub-id> <pub-id pub-id-type="pmid">37059070</pub-id></mixed-citation></ref>
<ref id="B3">
<label>3.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hesami</surname> <given-names>Z</given-names></name> <name><surname>Olfatifar</surname> <given-names>M</given-names></name> <name><surname>Sadeghi</surname> <given-names>A</given-names></name> <name><surname>Zali</surname> <given-names>MR</given-names></name> <name><surname>Mohammadi-Yeganeh</surname> <given-names>S</given-names></name> <name><surname>Habibi</surname> <given-names>MA</given-names></name><etal/></person-group> <article-title>Global trend in pancreatic cancer prevalence rates through 2040: an illness-death modeling study.</article-title> <source><italic>Cancer Med</italic>.</source> (<year>2040</year>) <volume>13</volume>:<fpage>e70318</fpage>. <pub-id pub-id-type="doi">10.1002/cam4.70318</pub-id> <pub-id pub-id-type="pmid">39440551</pub-id></mixed-citation></ref>
<ref id="B4">
<label>4.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hidalgo</surname> <given-names>M</given-names></name> <name><surname>Cascinu</surname> <given-names>S</given-names></name> <name><surname>Kleeff</surname> <given-names>J</given-names></name> <name><surname>Labianca</surname> <given-names>R</given-names></name> <name><surname>L&#x00F6;hr</surname> <given-names>JM</given-names></name> <name><surname>Neoptolemos</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Addressing the challenges of pancreatic cancer: future directions for improving outcomes.</article-title> <source><italic>Pancreatology</italic>.</source> (<year>2015</year>) <volume>15</volume>:<fpage>8</fpage>&#x2013;<lpage>18</lpage>. <pub-id pub-id-type="doi">10.1016/j.pan.2014.10.001</pub-id> <pub-id pub-id-type="pmid">25547205</pub-id></mixed-citation></ref>
<ref id="B5">
<label>5.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Siegel</surname> <given-names>RL</given-names></name> <name><surname>Miller</surname> <given-names>KD</given-names></name> <name><surname>Fuchs</surname> <given-names>HE</given-names></name> <name><surname>Jemal</surname> <given-names>A</given-names></name></person-group>. <article-title>Cancer statistics, 2022.</article-title> <source><italic>CA Cancer J Clin</italic>.</source> (<year>2022</year>) <volume>72</volume>:<fpage>7</fpage>&#x2013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.3322/caac.21708</pub-id> <pub-id pub-id-type="pmid">35020204</pub-id></mixed-citation></ref>
<ref id="B6">
<label>6.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>ES</given-names></name> <name><surname>Lee</surname> <given-names>JM</given-names></name></person-group>. <article-title>Imaging diagnosis of pancreatic cancer: a state-of-the-art review.</article-title> <source><italic>World J Gastroenterol</italic>.</source> (<year>2014</year>) <volume>20</volume>:<fpage>7864</fpage>&#x2013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v20.i24.7864</pub-id> <pub-id pub-id-type="pmid">24976723</pub-id></mixed-citation></ref>
<ref id="B7">
<label>7.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Francis</surname> <given-names>IR</given-names></name></person-group>. <article-title>Pancreatic adenocarcinoma: diagnosis and staging using multidetector-row computed tomography (MDCT) and magnetic resonance imaging (MRI).</article-title> <source><italic>Cancer Imaging.</italic></source> (<year>2007</year>) <volume>7</volume>:<fpage>S160</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1102/1470-7330.2007.9010</pub-id> <pub-id pub-id-type="pmid">17921087</pub-id></mixed-citation></ref>
<ref id="B8">
<label>8.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Montoya Mira</surname> <given-names>JL</given-names></name> <name><surname>Quentel</surname> <given-names>A</given-names></name> <name><surname>Patel</surname> <given-names>RK</given-names></name> <name><surname>Keith</surname> <given-names>D</given-names></name> <name><surname>Sousa</surname> <given-names>M</given-names></name> <name><surname>Minnier</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Early detection of pancreatic cancer by a high-throughput protease-activated nanosensor assay.</article-title> <source><italic>Sci Transl Med</italic>.</source> (<year>2025</year>) <volume>17</volume>:<fpage>eadq3110</fpage>. <pub-id pub-id-type="doi">10.1126/scitranslmed.adq3110</pub-id> <pub-id pub-id-type="pmid">39937880</pub-id></mixed-citation></ref>
<ref id="B9">
<label>9.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hou</surname> <given-names>K</given-names></name> <name><surname>Wu</surname> <given-names>ZX</given-names></name> <name><surname>Chen</surname> <given-names>XY</given-names></name> <name><surname>Wang</surname> <given-names>JQ</given-names></name> <name><surname>Zhang</surname> <given-names>D</given-names></name> <name><surname>Xiao</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Microbiota in health and diseases.</article-title> <source><italic>Signal Transduct Target Ther</italic>.</source> (<year>2022</year>) <volume>7</volume>:<fpage>135</fpage>. <pub-id pub-id-type="doi">10.1038/s41392-022-00974-4</pub-id> <pub-id pub-id-type="pmid">35461318</pub-id></mixed-citation></ref>
<ref id="B10">
<label>10.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Maldonado-Noboa</surname> <given-names>I</given-names></name> <name><surname>Maldonado-Guerrero</surname> <given-names>D</given-names></name> <name><surname>Reinoso-Quinga</surname> <given-names>L</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Microbiome influence in gastric cancer progression and therapeutic strategies.</article-title> <source><italic>Front Med</italic>.</source> (<year>2025</year>) <volume>12</volume>:<fpage>1681824</fpage>. <pub-id pub-id-type="doi">10.3389/fmed.2025.1681824</pub-id> <pub-id pub-id-type="pmid">41189901</pub-id></mixed-citation></ref>
<ref id="B11">
<label>11.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Altamirano-Colina</surname> <given-names>A</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>The vaginal microbiome in HPV persistence and cervical cancer progression.</article-title> <source><italic>Front Cell Infect Microbiol</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>1634251</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2025.1634251</pub-id> <pub-id pub-id-type="pmid">41127671</pub-id></mixed-citation></ref>
<ref id="B12">
<label>12.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Fuentes-Y&#x00E9;pez</surname> <given-names>MP</given-names></name> <name><surname>Adatty-Molina</surname> <given-names>J</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Microbial signatures in metastatic cancer.</article-title> <source><italic>Front Med</italic>.</source> (<year>2025</year>) <volume>12</volume>:<fpage>1654792</fpage>. <pub-id pub-id-type="doi">10.3389/fmed.2025.1654792</pub-id> <pub-id pub-id-type="pmid">41098988</pub-id></mixed-citation></ref>
<ref id="B13">
<label>13.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Echeverr&#x00ED;a</surname> <given-names>CE</given-names></name> <name><surname>Maldonado-Noboa</surname> <given-names>I</given-names></name> <name><surname>Ojeda-Mosquera</surname> <given-names>S</given-names></name> <name><surname>Hidalgo-Tinoco</surname> <given-names>C</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>The human microbiome in clinical translation: from bench to bedside.</article-title> <source><italic>Front Microbiol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1632435</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2025.1632435</pub-id> <pub-id pub-id-type="pmid">41035896</pub-id></mixed-citation></ref>
<ref id="B14">
<label>14.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Villegas-Ch&#x00E1;vez</surname> <given-names>JA</given-names></name> <name><surname>Bunces-Larco</surname> <given-names>D</given-names></name> <name><surname>Mart&#x00ED;n-Aguilera</surname> <given-names>R</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>The microbiome as a therapeutic co-driver in melanoma immuno-oncology.</article-title> <source><italic>Front Med</italic>.</source> (<year>2025</year>) <volume>12</volume>:<fpage>1673880</fpage>. <pub-id pub-id-type="doi">10.3389/fmed.2025.1673880</pub-id> <pub-id pub-id-type="pmid">41030253</pub-id></mixed-citation></ref>
<ref id="B15">
<label>15.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Cardona-Maya</surname> <given-names>WD</given-names></name> <name><surname>Gancino-Guevara</surname> <given-names>K</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Reprogramming prostate cancer through the microbiome.</article-title> <source><italic>Front Med</italic>.</source> (<year>2025</year>) <volume>12</volume>:<fpage>1690498</fpage>. <pub-id pub-id-type="doi">10.3389/fmed.2025.1690498</pub-id> <pub-id pub-id-type="pmid">41384118</pub-id></mixed-citation></ref>
<ref id="B16">
<label>16.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lynch</surname> <given-names>SV</given-names></name> <name><surname>Pedersen</surname> <given-names>O</given-names></name></person-group>. <article-title>The human intestinal microbiome in health and disease.</article-title> <source><italic>N Engl J Med</italic>.</source> (<year>2016</year>) <volume>375</volume>:<fpage>2369</fpage>&#x2013;<lpage>79</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMra1600266</pub-id> <pub-id pub-id-type="pmid">27974040</pub-id></mixed-citation></ref>
<ref id="B17">
<label>17.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Coral-Riofrio</surname> <given-names>EC</given-names></name> <name><surname>Su&#x00E1;rez Urresta</surname> <given-names>S</given-names></name> <name><surname>Palacios-Zavala</surname> <given-names>D</given-names></name> <name><surname>Echeverr&#x00ED;a</surname> <given-names>CE</given-names></name> <name><surname>Araujo-Abad</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Neurodegeneration rewires the tumor microenvironment via the neuro-immune-cancer axis.</article-title> <source><italic>iScience.</italic></source> (<year>2025</year>) <volume>28</volume>:<fpage>113550</fpage>. <pub-id pub-id-type="doi">10.1016/j.isci.2025.113550</pub-id> <pub-id pub-id-type="pmid">41079621</pub-id></mixed-citation></ref>
<ref id="B18">
<label>18.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Hidalgo-Tinoco</surname> <given-names>C</given-names></name> <name><surname>Di Capua Delgado</surname> <given-names>M</given-names></name> <name><surname>Viteri-Recalde</surname> <given-names>J</given-names></name> <name><surname>Guerra-Guerrero</surname> <given-names>A</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>The gut-brain-circadian axis in anxiety and depression: a critical review.</article-title> <source><italic>Front Psychiatry</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1697200</fpage>. <pub-id pub-id-type="doi">10.3389/fpsyt.2025.1697200</pub-id> <pub-id pub-id-type="pmid">41244880</pub-id></mixed-citation></ref>
<ref id="B19">
<label>19.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qin</surname> <given-names>J</given-names></name> <name><surname>Shi</surname> <given-names>X</given-names></name> <name><surname>Xu</surname> <given-names>J</given-names></name> <name><surname>Yuan</surname> <given-names>S</given-names></name> <name><surname>Zheng</surname> <given-names>B</given-names></name> <name><surname>Zhang</surname> <given-names>E</given-names></name><etal/></person-group> <article-title>Characterization of the genitourinary microbiome of 1,165 middle-aged and elderly healthy individuals.</article-title> <source><italic>Front Microbiol</italic>.</source> (<year>2021</year>) <volume>12</volume>:<fpage>673969</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2021.673969</pub-id> <pub-id pub-id-type="pmid">34489882</pub-id></mixed-citation></ref>
<ref id="B20">
<label>20.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname> <given-names>H</given-names></name> <name><surname>Guo</surname> <given-names>H</given-names></name> <name><surname>Wen</surname> <given-names>C</given-names></name> <name><surname>Sun</surname> <given-names>G</given-names></name> <name><surname>Tang</surname> <given-names>F</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name></person-group>. <article-title>The dual role of gut microbiota in pancreatic cancer: new insights into onset and treatment.</article-title> <source><italic>Ther Adv Med Oncol</italic>.</source> (<year>2025</year>) <volume>17</volume>:<fpage>17588359251324882</fpage>. <pub-id pub-id-type="doi">10.1177/17588359251324882</pub-id> <pub-id pub-id-type="pmid">40093983</pub-id></mixed-citation></ref>
<ref id="B21">
<label>21.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pushalkar</surname> <given-names>S</given-names></name> <name><surname>Hundeyin</surname> <given-names>M</given-names></name> <name><surname>Daley</surname> <given-names>D</given-names></name> <name><surname>Zambirinis</surname> <given-names>CP</given-names></name> <name><surname>Kurz</surname> <given-names>E</given-names></name> <name><surname>Mishra</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>The pancreatic cancer microbiome promotes oncogenesis by induction of innate and adaptive immune suppression.</article-title> <source><italic>Cancer Discov</italic>.</source> (<year>2018</year>) <volume>8</volume>:<fpage>403</fpage>&#x2013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1158/2159-8290.CD-17-1134</pub-id> <pub-id pub-id-type="pmid">29567829</pub-id></mixed-citation></ref>
<ref id="B22">
<label>22.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Riquelme</surname> <given-names>E</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name> <name><surname>Montiel</surname> <given-names>M</given-names></name> <name><surname>Zoltan</surname> <given-names>M</given-names></name> <name><surname>Dong</surname> <given-names>W</given-names></name><etal/></person-group> <article-title>Tumor microbiome diversity and composition influence pancreatic cancer outcomes.</article-title> <source><italic>Cell.</italic></source> (<year>2019</year>) <volume>178</volume>:<fpage>795</fpage>&#x2013;<lpage>806.e12</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2019.07.008</pub-id> <pub-id pub-id-type="pmid">31398337</pub-id></mixed-citation></ref>
<ref id="B23">
<label>23.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Geller</surname> <given-names>LT</given-names></name> <name><surname>Barzily-Rokni</surname> <given-names>M</given-names></name> <name><surname>Danino</surname> <given-names>T</given-names></name> <name><surname>Jonas</surname> <given-names>OH</given-names></name> <name><surname>Shental</surname> <given-names>N</given-names></name> <name><surname>Nejman</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine.</article-title> <source><italic>Science</italic>.</source> (<year>2017</year>) <volume>357</volume>:<fpage>1156</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1126/science.aah5043</pub-id> <pub-id pub-id-type="pmid">28912244</pub-id></mixed-citation></ref>
<ref id="B24">
<label>24.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tintelnot</surname> <given-names>J</given-names></name> <name><surname>Xu</surname> <given-names>Y</given-names></name> <name><surname>Lesker</surname> <given-names>TR</given-names></name> <name><surname>Sch&#x00F6;nlein</surname> <given-names>M</given-names></name> <name><surname>Konczalla</surname> <given-names>L</given-names></name> <name><surname>Giannou</surname> <given-names>AD</given-names></name><etal/></person-group> <article-title>Microbiota-derived 3-IAA influences chemotherapy efficacy in pancreatic cancer.</article-title> <source><italic>Nature</italic>.</source> (<year>2023</year>) <volume>615</volume>:<fpage>168</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-023-05728-y</pub-id> <pub-id pub-id-type="pmid">36813961</pub-id></mixed-citation></ref>
<ref id="B25">
<label>25.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>Y</given-names></name> <name><surname>Cao</surname> <given-names>B</given-names></name> <name><surname>Tang</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>JA</given-names></name></person-group>. <article-title>comprehensive multi-omics analysis uncovers the associations between gut microbiota and pancreatic cancer.</article-title> <source><italic>Front Microbiol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1592549</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2025.1592549</pub-id> <pub-id pub-id-type="pmid">40376462</pub-id></mixed-citation></ref>
<ref id="B26">
<label>26.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gilbert</surname> <given-names>JA</given-names></name> <name><surname>Azad</surname> <given-names>MB</given-names></name> <name><surname>B&#x00E4;ckhed</surname> <given-names>F</given-names></name> <name><surname>Blaser</surname> <given-names>MJ</given-names></name> <name><surname>Byndloss</surname> <given-names>M</given-names></name> <name><surname>Chiu</surname> <given-names>CY</given-names></name><etal/></person-group> <article-title>Clinical translation of microbiome research.</article-title> <source><italic>Nat Med</italic>.</source> (<year>2025</year>) <volume>31</volume>:<fpage>1099</fpage>&#x2013;<lpage>113</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-025-03615-9</pub-id> <pub-id pub-id-type="pmid">40217076</pub-id></mixed-citation></ref>
<ref id="B27">
<label>27.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Microbial beginnings: determinants and disruptions of the neonatal microbiome.</article-title> <source><italic>Front Microbiol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1672780</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2025.1672780</pub-id> <pub-id pub-id-type="pmid">41140406</pub-id></mixed-citation></ref>
<ref id="B28">
<label>28.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>S</given-names></name> <name><surname>Zhou</surname> <given-names>M</given-names></name> <name><surname>Mu</surname> <given-names>D</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name></person-group>. <article-title>Clinical implications of maternal multikingdom transmissions and early-life microbiota.</article-title> <source><italic>Lancet Microbe</italic>.</source> (<year>2025</year>) <volume>6</volume>:<fpage>101042</fpage>. <pub-id pub-id-type="doi">10.1016/j.lanmic.2024.101042</pub-id> <pub-id pub-id-type="pmid">39818230</pub-id></mixed-citation></ref>
<ref id="B29">
<label>29.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Perez-Carrasco</surname> <given-names>V</given-names></name> <name><surname>Soriano-Lerma</surname> <given-names>A</given-names></name> <name><surname>Soriano</surname> <given-names>M</given-names></name> <name><surname>Guti&#x00E9;rrez-Fern&#x00E1;ndez</surname> <given-names>J</given-names></name> <name><surname>Garcia-Salcedo</surname> <given-names>JA</given-names></name></person-group>. <article-title>Urinary microbiome: yin and Yang of the urinary tract.</article-title> <source><italic>Front Cell Infect Microbiol</italic>.</source> (<year>2021</year>) <volume>11</volume>:<fpage>617002</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2021.617002</pub-id> <pub-id pub-id-type="pmid">34084752</pub-id></mixed-citation></ref>
<ref id="B30">
<label>30.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tuominen</surname> <given-names>H</given-names></name> <name><surname>Rautava</surname> <given-names>J</given-names></name></person-group>. <article-title>Oral microbiota and cancer development.</article-title> <source><italic>Pathobiology</italic>.</source> (<year>2021</year>) <volume>88</volume>:<fpage>116</fpage>&#x2013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1159/000510979</pub-id> <pub-id pub-id-type="pmid">33176328</pub-id></mixed-citation></ref>
<ref id="B31">
<label>31.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pan</surname> <given-names>L</given-names></name> <name><surname>Yin</surname> <given-names>N</given-names></name> <name><surname>Duan</surname> <given-names>M</given-names></name> <name><surname>Mei</surname> <given-names>Q</given-names></name> <name><surname>Zeng</surname> <given-names>Y</given-names></name></person-group>. <article-title>The role of gut microbiome and its metabolites in pancreatitis.</article-title> <source><italic>mSystems.</italic></source> (<year>2024</year>) <volume>9</volume>:<fpage>e0066524</fpage>. <pub-id pub-id-type="doi">10.1128/msystems.00665-24</pub-id> <pub-id pub-id-type="pmid">39212377</pub-id></mixed-citation></ref>
<ref id="B32">
<label>32.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lei</surname> <given-names>W</given-names></name> <name><surname>Zhou</surname> <given-names>K</given-names></name> <name><surname>Lei</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>Q</given-names></name> <name><surname>Zhu</surname> <given-names>H</given-names></name></person-group>. <article-title>Gut microbiota shapes cancer immunotherapy responses.</article-title> <source><italic>NPJ Biofilms Microbiomes</italic>.</source> (<year>2025</year>) <volume>11</volume>:<fpage>143</fpage>. <pub-id pub-id-type="doi">10.1038/s41522-025-00786-8</pub-id> <pub-id pub-id-type="pmid">40715107</pub-id></mixed-citation></ref>
<ref id="B33">
<label>33.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Deciphering organotropism reveals therapeutic targets in metastasis.</article-title> <source><italic>Front Cell Dev Biol</italic>.</source> (<year>2025</year>) <volume>13</volume>:<fpage>1677481</fpage>. <pub-id pub-id-type="doi">10.3389/fcell.2025.1677481</pub-id> <pub-id pub-id-type="pmid">41142919</pub-id></mixed-citation></ref>
<ref id="B34">
<label>34.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Half</surname> <given-names>E</given-names></name> <name><surname>Keren</surname> <given-names>N</given-names></name> <name><surname>Reshef</surname> <given-names>L</given-names></name> <name><surname>Dorfman</surname> <given-names>T</given-names></name> <name><surname>Lachter</surname> <given-names>I</given-names></name> <name><surname>Kluger</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Fecal microbiome signatures of pancreatic cancer patients.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2019</year>) <volume>9</volume>:<fpage>16801</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-019-53041-4</pub-id> <pub-id pub-id-type="pmid">31727922</pub-id></mixed-citation></ref>
<ref id="B35">
<label>35.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname> <given-names>X</given-names></name> <name><surname>Shao</surname> <given-names>Y</given-names></name></person-group>. <article-title>Role of the oral-gut microbiota axis in pancreatic cancer: a new perspective on tumor pathophysiology, diagnosis, and treatment.</article-title> <source><italic>Mol Med</italic>.</source> (<year>2025</year>) <volume>31</volume>:<fpage>103</fpage>. <pub-id pub-id-type="doi">10.1186/s10020-025-01166-w</pub-id> <pub-id pub-id-type="pmid">40102723</pub-id></mixed-citation></ref>
<ref id="B36">
<label>36.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>F</given-names></name> <name><surname>Wu</surname> <given-names>G</given-names></name></person-group>. <article-title>Potential effects of gut microbiota on host cancers: focus on immunity, DNA damage, cellular pathways, and anticancer therapy.</article-title> <source><italic>ISME J</italic>.</source> (<year>2023</year>) <volume>17</volume>:<fpage>1535</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1038/s41396-023-01483-0</pub-id> <pub-id pub-id-type="pmid">37553473</pub-id></mixed-citation></ref>
<ref id="B37">
<label>37.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>Q</given-names></name> <name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Zhu</surname> <given-names>Y</given-names></name></person-group>. <article-title>Potential roles of the gut microbiota in pancreatic carcinogenesis and therapeutics.</article-title> <source><italic>Front Cell Infect Microbiol</italic>.</source> (<year>2022</year>) <volume>12</volume>:<fpage>872019</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2022.872019</pub-id> <pub-id pub-id-type="pmid">35463649</pub-id></mixed-citation></ref>
<ref id="B38">
<label>38.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname> <given-names>Y</given-names></name> <name><surname>Shaoyong</surname> <given-names>W</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Gan</surname> <given-names>Y</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name><etal/></person-group> <article-title>The functions of gut microbiota-mediated bile acid metabolism in intestinal immunity.</article-title> <source><italic>J Adv Res.</italic></source> (<year>2025</year>):<comment>[Online ahead of print]</comment>. <pub-id pub-id-type="doi">10.1016/j.jare.2025.05.015</pub-id> <pub-id pub-id-type="pmid">40354934</pub-id></mixed-citation></ref>
<ref id="B39">
<label>39.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ju</surname> <given-names>Y</given-names></name> <name><surname>Xu</surname> <given-names>D</given-names></name> <name><surname>Liao</surname> <given-names>MM</given-names></name> <name><surname>Sun</surname> <given-names>Y</given-names></name> <name><surname>Bao</surname> <given-names>WD</given-names></name> <name><surname>Yao</surname> <given-names>F</given-names></name><etal/></person-group> <article-title>Barriers and opportunities in pancreatic cancer immunotherapy.</article-title> <source><italic>NPJ Precis Oncol</italic>.</source> (<year>2024</year>) <volume>8</volume>:<fpage>199</fpage>. <pub-id pub-id-type="doi">10.1038/s41698-024-00681-z</pub-id> <pub-id pub-id-type="pmid">39266715</pub-id></mixed-citation></ref>
<ref id="B40">
<label>40.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fleishman</surname> <given-names>JS</given-names></name> <name><surname>Kumar</surname> <given-names>S</given-names></name></person-group>. <article-title>Bile acid metabolism and signaling in health and disease: molecular mechanisms and therapeutic targets.</article-title> <source><italic>Signal Transduct Target Ther</italic>.</source> (<year>2024</year>) <volume>9</volume>:<fpage>97</fpage>. <pub-id pub-id-type="doi">10.1038/s41392-024-01811-6</pub-id> <pub-id pub-id-type="pmid">38664391</pub-id></mixed-citation></ref>
<ref id="B41">
<label>41.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cai</surname> <given-names>J</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name> <name><surname>Gonzalez</surname> <given-names>FJ</given-names></name></person-group>. <article-title>Gut microbiota-derived bile acids in intestinal immunity, inflammation, and tumorigenesis.</article-title> <source><italic>Cell Host Microbe</italic>.</source> (<year>2022</year>) <volume>30</volume>:<fpage>289</fpage>&#x2013;<lpage>300</lpage>. <pub-id pub-id-type="doi">10.1016/j.chom.2022.02.004</pub-id> <pub-id pub-id-type="pmid">35271802</pub-id></mixed-citation></ref>
<ref id="B42">
<label>42.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>D</given-names></name> <name><surname>Sun</surname> <given-names>K</given-names></name></person-group>. <article-title>The gut microbiota and its metabolites: novel therapeutic targets for inflammatory bowel disease.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1690279</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2025.1690279</pub-id> <pub-id pub-id-type="pmid">41368634</pub-id></mixed-citation></ref>
<ref id="B43">
<label>43.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ala</surname> <given-names>M</given-names></name></person-group>. <article-title>Tryptophan metabolites modulate inflammatory bowel disease and colorectal cancer by affecting immune system.</article-title> <source><italic>Int Rev Immunol</italic>.</source> (<year>2022</year>) <volume>41</volume>:<fpage>326</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1080/08830185.2021.1954638</pub-id> <pub-id pub-id-type="pmid">34289794</pub-id></mixed-citation></ref>
<ref id="B44">
<label>44.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Candido</surname> <given-names>JB</given-names></name> <name><surname>Morton</surname> <given-names>JP</given-names></name> <name><surname>Bailey</surname> <given-names>P</given-names></name> <name><surname>Campbell</surname> <given-names>AD</given-names></name> <name><surname>Karim</surname> <given-names>SA</given-names></name> <name><surname>Jamieson</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>CSF1R+ macrophages sustain pancreatic tumor growth through T cell suppression and maintenance of key gene programs that define the squamous subtype.</article-title> <source><italic>Cell Rep</italic>.</source> (<year>2018</year>) <volume>23</volume>:<fpage>1448</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1016/j.celrep.2018.03.131</pub-id> <pub-id pub-id-type="pmid">29719257</pub-id></mixed-citation></ref>
<ref id="B45">
<label>45.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Loh</surname> <given-names>JS</given-names></name> <name><surname>Mak</surname> <given-names>WQ</given-names></name> <name><surname>Tan</surname> <given-names>LKS</given-names></name> <name><surname>Ng</surname> <given-names>CX</given-names></name> <name><surname>Chan</surname> <given-names>HH</given-names></name> <name><surname>Yeow</surname> <given-names>SH</given-names></name><etal/></person-group> <article-title>Microbiota-gut-brain axis and its therapeutic applications in neurodegenerative diseases.</article-title> <source><italic>Signal Transduct Target Ther</italic>.</source> (<year>2024</year>) <volume>9</volume>:<fpage>37</fpage>. <pub-id pub-id-type="doi">10.1038/s41392-024-01743-1</pub-id> <pub-id pub-id-type="pmid">38360862</pub-id></mixed-citation></ref>
<ref id="B46">
<label>46.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cryan</surname> <given-names>JF</given-names></name> <name><surname>O&#x2019;Riordan</surname> <given-names>KJ</given-names></name> <name><surname>Cowan</surname> <given-names>CSM</given-names></name> <name><surname>Sandhu</surname> <given-names>KV</given-names></name> <name><surname>Bastiaanssen</surname> <given-names>TFS</given-names></name> <name><surname>Boehme</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>The microbiota-gut-brain axis.</article-title> <source><italic>Physiol Rev</italic>.</source> (<year>2019</year>) <volume>99</volume>:<fpage>1877</fpage>&#x2013;<lpage>2013</lpage>. <pub-id pub-id-type="doi">10.1152/physrev.00018.2018</pub-id> <pub-id pub-id-type="pmid">31460832</pub-id></mixed-citation></ref>
<ref id="B47">
<label>47.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Strandwitz</surname> <given-names>P</given-names></name></person-group>. <article-title>Neurotransmitter modulation by the gut microbiota.</article-title> <source><italic>Brain Res.</italic></source> (<year>2018</year>) <volume>1693</volume>(<issue>Pt B</issue>):<fpage>128</fpage>&#x2013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.1016/j.brainres.2018.03.015</pub-id> <pub-id pub-id-type="pmid">29903615</pub-id></mixed-citation></ref>
<ref id="B48">
<label>48.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname> <given-names>Y</given-names></name> <name><surname>Pedersen</surname> <given-names>O</given-names></name></person-group>. <article-title>Gut microbiota in human metabolic health and disease.</article-title> <source><italic>Nat Rev Microbiol</italic>.</source> (<year>2021</year>) <volume>19</volume>:<fpage>55</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1038/s41579-020-0433-9</pub-id> <pub-id pub-id-type="pmid">32887946</pub-id></mixed-citation></ref>
<ref id="B49">
<label>49.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>ZI</given-names></name> <name><surname>O&#x2019;Reilly</surname> <given-names>EM</given-names></name></person-group>. <article-title>Therapeutic developments in pancreatic cancer.</article-title> <source><italic>Nat Rev Gastroenterol Hepatol</italic>.</source> (<year>2024</year>) <volume>21</volume>:<fpage>7</fpage>&#x2013;<lpage>24</lpage>. <pub-id pub-id-type="doi">10.1038/s41575-023-00840-w</pub-id> <pub-id pub-id-type="pmid">37798442</pub-id></mixed-citation></ref>
<ref id="B50">
<label>50.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Arif</surname> <given-names>T</given-names></name> <name><surname>Nazir</surname> <given-names>F</given-names></name> <name><surname>Aurangzeb</surname> <given-names>RF</given-names></name> <name><surname>Hussain</surname> <given-names>M</given-names></name> <name><surname>Aurangzeb</surname> <given-names>RI</given-names></name> <name><surname>Rehman</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>The potential of fecal and urinary biomarkers for early detection of pancreatic ductal adenocarcinoma: a systematic review.</article-title> <source><italic>Cureus</italic>.</source> (<year>2024</year>) <volume>16</volume>:<fpage>e59248</fpage>. <pub-id pub-id-type="doi">10.7759/cureus.59248</pub-id> <pub-id pub-id-type="pmid">38813271</pub-id></mixed-citation></ref>
<ref id="B51">
<label>51.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tomita</surname> <given-names>Y</given-names></name> <name><surname>Suzuki</surname> <given-names>K</given-names></name> <name><surname>Yamasaki</surname> <given-names>S</given-names></name> <name><surname>Toriumi</surname> <given-names>K</given-names></name> <name><surname>Miyashita</surname> <given-names>M</given-names></name> <name><surname>Ando</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences.</article-title> <source><italic>Schizophrenia</italic>.</source> (<year>2023</year>) <volume>9</volume>:<fpage>14</fpage>. <pub-id pub-id-type="doi">10.1038/s41537-023-00340-5</pub-id> <pub-id pub-id-type="pmid">36906656</pub-id></mixed-citation></ref>
<ref id="B52">
<label>52.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cao</surname> <given-names>Y</given-names></name> <name><surname>Xia</surname> <given-names>H</given-names></name> <name><surname>Tan</surname> <given-names>X</given-names></name> <name><surname>Shi</surname> <given-names>C</given-names></name> <name><surname>Ma</surname> <given-names>Y</given-names></name> <name><surname>Meng</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Intratumoural microbiota: a new frontier in cancer development and therapy.</article-title> <source><italic>Signal Transduct Target Ther</italic>.</source> (<year>2024</year>) <volume>9</volume>:<fpage>15</fpage>. <pub-id pub-id-type="doi">10.1038/s41392-023-01693-0</pub-id> <pub-id pub-id-type="pmid">38195689</pub-id></mixed-citation></ref>
<ref id="B53">
<label>53.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sarosiek</surname> <given-names>I</given-names></name> <name><surname>Schicho</surname> <given-names>R</given-names></name> <name><surname>Blandon</surname> <given-names>P</given-names></name> <name><surname>Bashashati</surname> <given-names>M</given-names></name></person-group>. <article-title>Urinary metabolites as noninvasive biomarkers of gastrointestinal diseases: a clinical review.</article-title> <source><italic>World J Gastrointest Oncol</italic>.</source> (<year>2016</year>) <volume>8</volume>:<fpage>459</fpage>&#x2013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.4251/wjgo.v8.i5.459</pub-id> <pub-id pub-id-type="pmid">27190585</pub-id></mixed-citation></ref>
<ref id="B54">
<label>54.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>B</given-names></name> <name><surname>Mahmud</surname> <given-names>I</given-names></name> <name><surname>Marchica</surname> <given-names>J</given-names></name> <name><surname>Derezi&#x0144;ski</surname> <given-names>P</given-names></name> <name><surname>Qi</surname> <given-names>F</given-names></name> <name><surname>Wang</surname> <given-names>F</given-names></name><etal/></person-group> <article-title>Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2020</year>) <volume>10</volume>:<fpage>3716</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-60616-z</pub-id> <pub-id pub-id-type="pmid">32111915</pub-id></mixed-citation></ref>
<ref id="B55">
<label>55.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>R</given-names></name> <name><surname>Kang</surname> <given-names>H</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name> <name><surname>Nie</surname> <given-names>Q</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Urinary metabolomics for discovering metabolic biomarkers of bladder cancer by UPLC-MS.</article-title> <source><italic>BMC Cancer</italic>.</source> (<year>2022</year>) <volume>22</volume>:<fpage>214</fpage>. <pub-id pub-id-type="doi">10.1186/s12885-022-09318-5</pub-id> <pub-id pub-id-type="pmid">35220945</pub-id></mixed-citation></ref>
<ref id="B56">
<label>56.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moser</surname> <given-names>T</given-names></name> <name><surname>K&#x00FC;hberger</surname> <given-names>S</given-names></name> <name><surname>Lazzeri</surname> <given-names>I</given-names></name> <name><surname>Vlachos</surname> <given-names>G</given-names></name> <name><surname>Heitzer</surname> <given-names>E</given-names></name></person-group>. <article-title>Bridging biological cfDNA features and machine learning approaches.</article-title> <source><italic>Trends Genet</italic>.</source> (<year>2023</year>) <volume>39</volume>:<fpage>285</fpage>&#x2013;<lpage>307</lpage>. <pub-id pub-id-type="doi">10.1016/j.tig.2023.01.004</pub-id> <pub-id pub-id-type="pmid">36792446</pub-id></mixed-citation></ref>
<ref id="B57">
<label>57.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pastuszka</surname> <given-names>A</given-names></name> <name><surname>Tobor</surname> <given-names>S</given-names></name> <name><surname>&#x0141;oniewski</surname> <given-names>I</given-names></name> <name><surname>Wierzbicka-Wo&#x015B;</surname> <given-names>A</given-names></name> <name><surname>Sielatycka</surname> <given-names>K</given-names></name> <name><surname>Styburski</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Rewriting the urinary tract paradigm: the urobiome as a gatekeeper of host defense.</article-title> <source><italic>Mol Biol Rep</italic>.</source> (<year>2025</year>) <volume>52</volume>:<fpage>497</fpage>. <pub-id pub-id-type="doi">10.1007/s11033-025-10609-w</pub-id> <pub-id pub-id-type="pmid">40407923</pub-id></mixed-citation></ref>
<ref id="B58">
<label>58.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hilt</surname> <given-names>EE</given-names></name> <name><surname>McKinley</surname> <given-names>K</given-names></name> <name><surname>Pearce</surname> <given-names>MM</given-names></name> <name><surname>Rosenfeld</surname> <given-names>AB</given-names></name> <name><surname>Zilliox</surname> <given-names>MJ</given-names></name> <name><surname>Mueller</surname> <given-names>ER</given-names></name><etal/></person-group> <article-title>Urine is not sterile: use of enhanced urine culture techniques to detect resident bacterial flora in the adult female bladder.</article-title> <source><italic>J Clin Microbiol</italic>.</source> (<year>2014</year>) <volume>52</volume>:<fpage>871</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1128/JCM.02876-13</pub-id> <pub-id pub-id-type="pmid">24371246</pub-id></mixed-citation></ref>
<ref id="B59">
<label>59.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Neugent</surname> <given-names>ML</given-names></name> <name><surname>Hulyalkar</surname> <given-names>NV</given-names></name> <name><surname>Nguyen</surname> <given-names>VH</given-names></name> <name><surname>Zimmern</surname> <given-names>PE</given-names></name> <name><surname>De Nisco</surname> <given-names>NJ</given-names></name></person-group>. <article-title>Advances in understanding the human urinary microbiome and its potential role in urinary tract infection.</article-title> <source><italic>mBio.</italic></source> (<year>2020</year>) <volume>11</volume>:<fpage>e218</fpage>&#x2013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1128/mBio.00218-20</pub-id> <pub-id pub-id-type="pmid">32345639</pub-id></mixed-citation></ref>
<ref id="B60">
<label>60.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Roth</surname> <given-names>RS</given-names></name> <name><surname>Liden</surname> <given-names>M</given-names></name> <name><surname>Huttner</surname> <given-names>A</given-names></name></person-group>. <article-title>The urobiome in men and women: a clinical review.</article-title> <source><italic>Clin Microbiol Infect</italic>.</source> (<year>2023</year>) <volume>29</volume>:<fpage>1242</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.cmi.2022.08.010</pub-id> <pub-id pub-id-type="pmid">36028087</pub-id></mixed-citation></ref>
<ref id="B61">
<label>61.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Winslow</surname> <given-names>TB</given-names></name> <name><surname>Gupta</surname> <given-names>S</given-names></name> <name><surname>Vaddaraju</surname> <given-names>VS</given-names></name> <name><surname>Guercio</surname> <given-names>BJ</given-names></name> <name><surname>Sahasrabudhe</surname> <given-names>DM</given-names></name></person-group>. <article-title>The microbiome and genitourinary cancers: a new frontier.</article-title> <source><italic>Cancers</italic>.</source> (<year>2025</year>) <volume>17</volume>:<fpage>3606</fpage>. <pub-id pub-id-type="doi">10.3390/cancers17223606</pub-id> <pub-id pub-id-type="pmid">41300973</pub-id></mixed-citation></ref>
<ref id="B62">
<label>62.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Neugent</surname> <given-names>ML</given-names></name> <name><surname>Hulyalkar</surname> <given-names>NV</given-names></name> <name><surname>Ghosh</surname> <given-names>D</given-names></name> <name><surname>Saenz</surname> <given-names>CN</given-names></name> <name><surname>Zimmern</surname> <given-names>PE</given-names></name> <name><surname>Shulaev</surname> <given-names>V</given-names></name><etal/></person-group> <article-title>Urinary biochemical ecology reveals microbiome-metabolite interactions and metabolic markers of recurrent urinary tract infection.</article-title> <source><italic>NPJ Biofilms Microbiomes</italic>.</source> (<year>2025</year>) <volume>11</volume>:<fpage>216</fpage>. <pub-id pub-id-type="doi">10.1038/s41522-025-00844-1</pub-id> <pub-id pub-id-type="pmid">41285810</pub-id></mixed-citation></ref>
<ref id="B63">
<label>63.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>Z</given-names></name> <name><surname>Xie</surname> <given-names>D</given-names></name> <name><surname>Han</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>G</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>Deciphering the urinary microbiome and urological cancers: from correlation to mechanisms and treatment.</article-title> <source><italic>Front Microbiol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1699308</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2025.1699308</pub-id> <pub-id pub-id-type="pmid">41321823</pub-id></mixed-citation></ref>
<ref id="B64">
<label>64.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ece</surname> <given-names>G</given-names></name> <name><surname>Akta&#x015F;</surname> <given-names>A</given-names></name> <name><surname>Caner</surname> <given-names>A</given-names></name> <name><surname>Sa&#x011F;l&#x0131;k</surname> <given-names>&#x0130;</given-names></name> <name><surname>Kula Atik</surname> <given-names>T</given-names></name> <name><surname>Ulusan Ba&#x011F;c&#x0131;</surname> <given-names>&#x00D6;</given-names></name><etal/></person-group> <article-title>The urogenital system microbiota: Is it a new gamechanger in urogenital cancers?</article-title> <source><italic>Microorganisms</italic>.</source> (<year>2025</year>) <volume>13</volume>:<fpage>315</fpage>. <pub-id pub-id-type="doi">10.3390/microorganisms13020315</pub-id> <pub-id pub-id-type="pmid">40005682</pub-id></mixed-citation></ref>
<ref id="B65">
<label>65.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tavano</surname> <given-names>F</given-names></name> <name><surname>Napoli</surname> <given-names>A</given-names></name> <name><surname>Gioffreda</surname> <given-names>D</given-names></name> <name><surname>Palmieri</surname> <given-names>O</given-names></name> <name><surname>Latiano</surname> <given-names>T</given-names></name> <name><surname>Tardio</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Could the microbial profiling of normal pancreatic tissue from healthy organ donors contribute to understanding the intratumoral microbiota signature in pancreatic ductal adenocarcinoma?</article-title> <source><italic>Microorganisms</italic>.</source> (<year>2025</year>) <volume>13</volume>:<fpage>452</fpage>. <pub-id pub-id-type="doi">10.3390/microorganisms13020452</pub-id> <pub-id pub-id-type="pmid">40005817</pub-id></mixed-citation></ref>
<ref id="B66">
<label>66.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Biesel</surname> <given-names>EA</given-names></name> <name><surname>Sundheimer</surname> <given-names>J</given-names></name> <name><surname>Badr</surname> <given-names>MT</given-names></name> <name><surname>Posadas-Cantera</surname> <given-names>S</given-names></name> <name><surname>Chikhladze</surname> <given-names>S</given-names></name> <name><surname>Fichtner-Feigl</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Microbiological colonization of the pancreatic tumor affects postoperative complications and outcome after pancreatic surgery.</article-title> <source><italic>Front Cell Infect Microbiol</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>1521952</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2025.1521952</pub-id> <pub-id pub-id-type="pmid">40521024</pub-id></mixed-citation></ref>
<ref id="B67">
<label>67.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Khan</surname> <given-names>ZA</given-names></name> <name><surname>Sobkowiak</surname> <given-names>MJ</given-names></name> <name><surname>Ghorbani</surname> <given-names>M</given-names></name> <name><surname>Poojabahen</surname> <given-names>T</given-names></name> <name><surname>Al-Manei</surname> <given-names>K</given-names></name> <name><surname>Halimi</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>Survival mechanism of pancreatic tumor bacteria and their ability to metabolize chemotherapy drugs.</article-title> <source><italic>Microbiol Spectr</italic>.</source> (<year>2025</year>) <volume>13</volume>:<fpage>e0182025</fpage>. <pub-id pub-id-type="doi">10.1128/spectrum.01820-25</pub-id> <pub-id pub-id-type="pmid">40792508</pub-id></mixed-citation></ref>
<ref id="B68">
<label>68.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chai</surname> <given-names>Y</given-names></name> <name><surname>Huang</surname> <given-names>Z</given-names></name> <name><surname>Shen</surname> <given-names>X</given-names></name> <name><surname>Lin</surname> <given-names>T</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Feng</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>Microbiota regulates pancreatic cancer carcinogenesis through altered immune response.</article-title> <source><italic>Microorganisms</italic>.</source> (<year>2023</year>) <volume>11</volume>:<fpage>1240</fpage>. <pub-id pub-id-type="doi">10.3390/microorganisms11051240</pub-id> <pub-id pub-id-type="pmid">37317214</pub-id></mixed-citation></ref>
<ref id="B69">
<label>69.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pourali</surname> <given-names>G</given-names></name> <name><surname>Kazemi</surname> <given-names>D</given-names></name> <name><surname>Chadeganipour</surname> <given-names>AS</given-names></name> <name><surname>Arastonejad</surname> <given-names>M</given-names></name> <name><surname>Kashani</surname> <given-names>SN</given-names></name> <name><surname>Pourali</surname> <given-names>R</given-names></name><etal/></person-group> <article-title>Microbiome as a biomarker and therapeutic target in pancreatic cancer.</article-title> <source><italic>BMC Microbiol</italic>.</source> (<year>2024</year>) <volume>24</volume>:<fpage>16</fpage>. <pub-id pub-id-type="doi">10.1186/s12866-023-03166-4</pub-id> <pub-id pub-id-type="pmid">38183010</pub-id></mixed-citation></ref>
<ref id="B70">
<label>70.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Le&#x00F3;n-Letelier</surname> <given-names>RA</given-names></name> <name><surname>Dou</surname> <given-names>R</given-names></name> <name><surname>Vykoukal</surname> <given-names>J</given-names></name> <name><surname>Yip-Schneider</surname> <given-names>MT</given-names></name> <name><surname>Maitra</surname> <given-names>A</given-names></name> <name><surname>Irajizad</surname> <given-names>E</given-names></name><etal/></person-group> <article-title>Contributions of the microbiome-derived metabolome for risk assessment and prognostication of pancreatic cancer.</article-title> <source><italic>Clin Chem</italic>.</source> (<year>2024</year>) <volume>70</volume>:<fpage>102</fpage>&#x2013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1093/clinchem/hvad186</pub-id> <pub-id pub-id-type="pmid">38175578</pub-id></mixed-citation></ref>
<ref id="B71">
<label>71.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>X</given-names></name> <name><surname>Ma</surname> <given-names>C</given-names></name> <name><surname>Kong</surname> <given-names>X</given-names></name></person-group>. <article-title>Gut dysbiosis and fecal microbiota transplantation in pancreatic cancer: current status and perspectives.</article-title> <source><italic>Cancer Screening and Prevention.</italic></source> (<year>2024</year>) <volume>3</volume>:<fpage>170</fpage>&#x2013;<lpage>83</lpage>. <pub-id pub-id-type="doi">10.14218/CSP.2024.00017</pub-id></mixed-citation></ref>
<ref id="B72">
<label>72.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Basu</surname> <given-names>M</given-names></name> <name><surname>Philipp</surname> <given-names>LM</given-names></name> <name><surname>Baines</surname> <given-names>JF</given-names></name> <name><surname>Sebens</surname> <given-names>S</given-names></name></person-group>. <article-title>The microbiome tumor axis: How the microbiome could contribute to clonal heterogeneity and disease outcome in pancreatic cancer.</article-title> <source><italic>Front Oncol</italic>.</source> (<year>2021</year>) <volume>11</volume>:<fpage>740606</fpage>. <pub-id pub-id-type="doi">10.3389/fonc.2021.740606</pub-id> <pub-id pub-id-type="pmid">34631577</pub-id></mixed-citation></ref>
<ref id="B73">
<label>73.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karstens</surname> <given-names>L</given-names></name> <name><surname>Asquith</surname> <given-names>M</given-names></name> <name><surname>Caruso</surname> <given-names>V</given-names></name> <name><surname>Rosenbaum</surname> <given-names>JT</given-names></name> <name><surname>Fair</surname> <given-names>DA</given-names></name> <name><surname>Braun</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Community profiling of the urinary microbiota: considerations for low-biomass samples.</article-title> <source><italic>Nat Rev Urol</italic>.</source> (<year>2018</year>) <volume>15</volume>:<fpage>735</fpage>&#x2013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.1038/s41585-018-0104-z</pub-id> <pub-id pub-id-type="pmid">30315209</pub-id></mixed-citation></ref>
<ref id="B74">
<label>74.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Reasoner</surname> <given-names>SA</given-names></name> <name><surname>Francis</surname> <given-names>J</given-names></name> <name><surname>Hadjifrangiskou</surname> <given-names>M</given-names></name></person-group>. <article-title>The urinary microbiome: the next frontier of bacterial ecology.</article-title> <source><italic>J Bacteriol</italic>.</source> (<year>2025</year>) <volume>207</volume>:<fpage>e0010525</fpage>. <pub-id pub-id-type="doi">10.1128/jb.00105-25</pub-id> <pub-id pub-id-type="pmid">40704791</pub-id></mixed-citation></ref>
<ref id="B75">
<label>75.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Samir</surname> <given-names>S</given-names></name> <name><surname>El-Ashry</surname> <given-names>M</given-names></name> <name><surname>Soliman</surname> <given-names>W</given-names></name> <name><surname>Hassan</surname> <given-names>M</given-names></name></person-group>. <article-title>Urinary biomarkers analysis as a diagnostic tool for early detection of pancreatic adenocarcinoma: molecular quantification approach.</article-title> <source><italic>Comput Biol Chem</italic>.</source> (<year>2024</year>) <volume>112</volume>:<fpage>108171</fpage>. <pub-id pub-id-type="doi">10.1016/j.compbiolchem.2024.108171</pub-id> <pub-id pub-id-type="pmid">39159599</pub-id></mixed-citation></ref>
<ref id="B76">
<label>76.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bengtsson</surname> <given-names>A</given-names></name> <name><surname>Andersson</surname> <given-names>R</given-names></name> <name><surname>Linders</surname> <given-names>J</given-names></name> <name><surname>Gulla</surname> <given-names>A</given-names></name> <name><surname>Ansari</surname> <given-names>D</given-names></name></person-group>. <article-title>Biomarkers for early detection of pancreatic cancer.</article-title> <source><italic>Visc Med.</italic></source> (<year>2025</year>) <volume>11</volume>:<fpage>59</fpage>: <pub-id pub-id-type="doi">10.1159/000546584</pub-id> <pub-id pub-id-type="pmid">40612538</pub-id></mixed-citation></ref>
<ref id="B77">
<label>77.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Debernardi</surname> <given-names>S</given-names></name> <name><surname>Blyuss</surname> <given-names>O</given-names></name> <name><surname>Rycyk</surname> <given-names>D</given-names></name> <name><surname>Srivastava</surname> <given-names>K</given-names></name> <name><surname>Jeon</surname> <given-names>CY</given-names></name> <name><surname>Cai</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis.</article-title> <source><italic>Int J Cancer</italic>.</source> (<year>2023</year>) <volume>152</volume>:<fpage>769</fpage>&#x2013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.1002/ijc.34287</pub-id> <pub-id pub-id-type="pmid">36093581</pub-id></mixed-citation></ref>
<ref id="B78">
<label>78.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ali</surname> <given-names>N</given-names></name> <name><surname>Debernardi</surname> <given-names>S</given-names></name> <name><surname>Kurotova</surname> <given-names>E</given-names></name> <name><surname>Tajbakhsh</surname> <given-names>J</given-names></name> <name><surname>Gupta</surname> <given-names>NK</given-names></name> <name><surname>Pandol</surname> <given-names>SJ</given-names></name><etal/></person-group> <article-title>Evaluation of urinary C-reactive protein as an early detection biomarker for pancreatic ductal adenocarcinoma.</article-title> <source><italic>Front Oncol</italic>.</source> (<year>2024</year>) <volume>14</volume>:<fpage>1450326</fpage>. <pub-id pub-id-type="doi">10.3389/fonc.2024.1450326</pub-id> <pub-id pub-id-type="pmid">39309742</pub-id></mixed-citation></ref>
<ref id="B79">
<label>79.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hara</surname> <given-names>T</given-names></name> <name><surname>Meng</surname> <given-names>S</given-names></name> <name><surname>Alshammari</surname> <given-names>AH</given-names></name> <name><surname>Hatakeyama</surname> <given-names>H</given-names></name> <name><surname>Arao</surname> <given-names>Y</given-names></name> <name><surname>Saito</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Recent exploration of solid cancer biomarkers hidden within urine or blood exosomes that provide fundamental information for future cancer diagnostics.</article-title> <source><italic>Diagnostics</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>628</fpage>. <pub-id pub-id-type="doi">10.3390/diagnostics15050628</pub-id> <pub-id pub-id-type="pmid">40075875</pub-id></mixed-citation></ref>
<ref id="B80">
<label>80.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baba</surname> <given-names>S</given-names></name> <name><surname>Kawasaki</surname> <given-names>T</given-names></name> <name><surname>Hirano</surname> <given-names>S</given-names></name> <name><surname>Nakamura</surname> <given-names>T</given-names></name> <name><surname>Asano</surname> <given-names>T</given-names></name> <name><surname>Okazaki</surname> <given-names>R</given-names></name><etal/></person-group> <article-title>A noninvasive urinary microRNA-based assay for the detection of pancreatic cancer from early to late stages: a case control study.</article-title> <source><italic>EClinicalMedicine</italic>.</source> (<year>2024</year>) <volume>78</volume>:<fpage>102936</fpage>. <pub-id pub-id-type="doi">10.1016/j.eclinm.2024.102936</pub-id> <pub-id pub-id-type="pmid">39764541</pub-id></mixed-citation></ref>
<ref id="B81">
<label>81.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kawai</surname> <given-names>M</given-names></name> <name><surname>Fukuda</surname> <given-names>A</given-names></name> <name><surname>Otomo</surname> <given-names>R</given-names></name> <name><surname>Obata</surname> <given-names>S</given-names></name> <name><surname>Minaga</surname> <given-names>K</given-names></name> <name><surname>Asada</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learning.</article-title> <source><italic>Br J Cancer</italic>.</source> (<year>2024</year>) <volume>131</volume>:<fpage>1158</fpage>&#x2013;<lpage>68</lpage>. <pub-id pub-id-type="doi">10.1038/s41416-024-02794-5</pub-id> <pub-id pub-id-type="pmid">39198617</pub-id></mixed-citation></ref>
<ref id="B82">
<label>82.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Terashima</surname> <given-names>T</given-names></name> <name><surname>Nio</surname> <given-names>K</given-names></name> <name><surname>Koshikawa</surname> <given-names>N</given-names></name> <name><surname>Ueno</surname> <given-names>M</given-names></name> <name><surname>Toyama</surname> <given-names>T</given-names></name> <name><surname>Miyazawa</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Serum laminin &#x03B3;2 monomer as a novel diagnostic and prognostic marker for pancreatic ductal adenocarcinoma.</article-title> <source><italic>BJC Rep</italic>.</source> (<year>2025</year>) <volume>3</volume>:<fpage>2</fpage>. <pub-id pub-id-type="doi">10.1038/s44276-024-00116-z</pub-id> <pub-id pub-id-type="pmid">39809945</pub-id></mixed-citation></ref>
<ref id="B83">
<label>83.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Radon</surname> <given-names>TP</given-names></name> <name><surname>Massat</surname> <given-names>NJ</given-names></name> <name><surname>Jones</surname> <given-names>R</given-names></name> <name><surname>Alrawashdeh</surname> <given-names>W</given-names></name> <name><surname>Dumartin</surname> <given-names>L</given-names></name> <name><surname>Ennis</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Identification of a three-biomarker panel in urine for early detection of pancreatic adenocarcinoma.</article-title> <source><italic>Clin Cancer Res</italic>.</source> (<year>2015</year>) <volume>21</volume>:<fpage>3512</fpage>&#x2013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1158/1078-0432.CCR-14-2467</pub-id> <pub-id pub-id-type="pmid">26240291</pub-id></mixed-citation></ref>
<ref id="B84">
<label>84.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>RQ</given-names></name> <name><surname>Zhang</surname> <given-names>DF</given-names></name> <name><surname>Tu</surname> <given-names>E</given-names></name> <name><surname>Chen</surname> <given-names>QM</given-names></name> <name><surname>Chen</surname> <given-names>W</given-names></name></person-group>. <article-title>The mucosal immune system in the oral cavity-an orchestra of T cell diversity.</article-title> <source><italic>Int J Oral Sci</italic>.</source> (<year>2014</year>) <volume>6</volume>:<fpage>125</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1038/ijos.2014.48</pub-id> <pub-id pub-id-type="pmid">25105816</pub-id></mixed-citation></ref>
<ref id="B85">
<label>85.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>H</given-names></name> <name><surname>Zhao</surname> <given-names>X</given-names></name> <name><surname>Zhou</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Ma</surname> <given-names>R</given-names></name> <name><surname>Ren</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>Characterization of oral microbiome and exploration of potential biomarkers in patients with pancreatic cancer.</article-title> <source><italic>Biomed Res Int</italic>.</source> (<year>2020</year>) <volume>2020</volume>:<fpage>4712498</fpage>. <pub-id pub-id-type="doi">10.1155/2020/4712498</pub-id> <pub-id pub-id-type="pmid">33204698</pub-id></mixed-citation></ref>
<ref id="B86">
<label>86.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>AL</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Li</surname> <given-names>GQ</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Hu</surname> <given-names>WM</given-names></name> <name><surname>Li</surname> <given-names>ZL</given-names></name><etal/></person-group> <article-title>Oral microbiome and pancreatic cancer.</article-title> <source><italic>World J Gastroenterol</italic>.</source> (<year>2020</year>) <volume>26</volume>:<fpage>7679</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v26.i48.7679</pub-id> <pub-id pub-id-type="pmid">33505144</pub-id></mixed-citation></ref>
<ref id="B87">
<label>87.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herremans</surname> <given-names>KM</given-names></name> <name><surname>Riner</surname> <given-names>AN</given-names></name> <name><surname>Cameron</surname> <given-names>ME</given-names></name> <name><surname>McKinley</surname> <given-names>KL</given-names></name> <name><surname>Triplett</surname> <given-names>EW</given-names></name> <name><surname>Hughes</surname> <given-names>SJ</given-names></name><etal/></person-group> <article-title>The oral microbiome, pancreatic cancer and human diversity in the age of precision medicine.</article-title> <source><italic>Microbiome</italic>.</source> (<year>2022</year>) <volume>10</volume>:<fpage>93</fpage>. <pub-id pub-id-type="doi">10.1186/s40168-022-01262-7</pub-id> <pub-id pub-id-type="pmid">35701831</pub-id></mixed-citation></ref>
<ref id="B88">
<label>88.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Luo</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>K</given-names></name> <name><surname>Li</surname> <given-names>N</given-names></name> <name><surname>Luo</surname> <given-names>C</given-names></name> <name><surname>Di</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Cross-cohort analysis identifies shared gut microbial signatures and validates microbial risk scores for colorectal cancer.</article-title> <source><italic>J Transl Med</italic>.</source> (<year>2025</year>) <volume>23</volume>:<fpage>676</fpage>. <pub-id pub-id-type="doi">10.1186/s12967-025-06676-z</pub-id> <pub-id pub-id-type="pmid">40528214</pub-id></mixed-citation></ref>
<ref id="B89">
<label>89.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nearing</surname> <given-names>JT</given-names></name> <name><surname>Comeau</surname> <given-names>AM</given-names></name> <name><surname>Langille</surname> <given-names>MGI</given-names></name></person-group>. <article-title>Identifying biases and their potential solutions in human microbiome studies.</article-title> <source><italic>Microbiome</italic>.</source> (<year>2021</year>) <volume>9</volume>:<fpage>113</fpage>. <pub-id pub-id-type="doi">10.1186/s40168-021-01059-0</pub-id> <pub-id pub-id-type="pmid">34006335</pub-id></mixed-citation></ref>
<ref id="B90">
<label>90.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname> <given-names>X</given-names></name> <name><surname>Alekseyenko</surname> <given-names>AV</given-names></name> <name><surname>Wu</surname> <given-names>J</given-names></name> <name><surname>Peters</surname> <given-names>BA</given-names></name> <name><surname>Jacobs</surname> <given-names>EJ</given-names></name> <name><surname>Gapstur</surname> <given-names>SM</given-names></name><etal/></person-group> <article-title>Human oral microbiome and prospective risk for pancreatic cancer: a population-based nested case-control study.</article-title> <source><italic>Gut</italic>.</source> (<year>2018</year>) <volume>67</volume>:<fpage>120</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1136/gutjnl-2016-312580</pub-id> <pub-id pub-id-type="pmid">27742762</pub-id></mixed-citation></ref>
<ref id="B91">
<label>91.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Agudelo</surname> <given-names>J</given-names></name> <name><surname>Miller</surname> <given-names>AW</given-names></name></person-group>. <article-title>Impact of study design, contamination, and data characteristics on results and interpretation of microbiome studies.</article-title> <source><italic>mSystems.</italic></source> (<year>2025</year>) <volume>10</volume>:<fpage>e0040825</fpage>. <pub-id pub-id-type="doi">10.1128/msystems.00408-25</pub-id> <pub-id pub-id-type="pmid">40767516</pub-id></mixed-citation></ref>
<ref id="B92">
<label>92.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Austin</surname> <given-names>GI</given-names></name> <name><surname>Korem</surname> <given-names>T</given-names></name></person-group>. <article-title>Planning and analyzing a low-biomass microbiome study: a data analysis perspective.</article-title> <source><italic>J Infect Dis.</italic></source> (<year>2024</year>):<comment>[Online ahead of print]</comment>. <pub-id pub-id-type="doi">10.1093/infdis/jiae378</pub-id> <pub-id pub-id-type="pmid">39189314</pub-id></mixed-citation></ref>
<ref id="B93">
<label>93.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ertz-Archambault</surname> <given-names>N</given-names></name> <name><surname>Keim</surname> <given-names>P</given-names></name> <name><surname>Von Hoff</surname> <given-names>D</given-names></name></person-group>. <article-title>Microbiome and pancreatic cancer: a comprehensive topic review of literature.</article-title> <source><italic>World J Gastroenterol</italic>.</source> (<year>2017</year>) <volume>23</volume>:<fpage>1899</fpage>&#x2013;<lpage>908</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v23.i10.1899</pub-id> <pub-id pub-id-type="pmid">28348497</pub-id></mixed-citation></ref>
<ref id="B94">
<label>94.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Intratumor microbiome in cancer progression: current developments, challenges and future trends.</article-title> <source><italic>Biomark Res</italic>.</source> (<year>2022</year>) <volume>10</volume>:<fpage>37</fpage>. <pub-id pub-id-type="doi">10.1186/s40364-022-00381-5</pub-id> <pub-id pub-id-type="pmid">35642013</pub-id></mixed-citation></ref>
<ref id="B95">
<label>95.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Daniel</surname> <given-names>N</given-names></name> <name><surname>Farinella</surname> <given-names>R</given-names></name> <name><surname>Belluomini</surname> <given-names>F</given-names></name> <name><surname>Fajkic</surname> <given-names>A</given-names></name> <name><surname>Rizzato</surname> <given-names>C</given-names></name> <name><surname>Sou&#x010D;ek</surname> <given-names>P</given-names></name><etal/></person-group> <article-title>The relationship of the microbiome, associated metabolites and the gut barrier with pancreatic cancer.</article-title> <source><italic>Semin Cancer Biol</italic>.</source> (<year>2025</year>) <volume>112</volume>:<fpage>43</fpage>&#x2013;<lpage>57</lpage>. <pub-id pub-id-type="doi">10.1016/j.semcancer.2025.03.002</pub-id> <pub-id pub-id-type="pmid">40154652</pub-id></mixed-citation></ref>
<ref id="B96">
<label>96.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>MY</given-names></name> <name><surname>Shi</surname> <given-names>S</given-names></name> <name><surname>Liang</surname> <given-names>C</given-names></name> <name><surname>Meng</surname> <given-names>QC</given-names></name> <name><surname>Hua</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>YY</given-names></name><etal/></person-group> <article-title>The microbiota and microbiome in pancreatic cancer: more influential than expected.</article-title> <source><italic>Mol Cancer</italic>.</source> (<year>2019</year>) <volume>18</volume>:<fpage>97</fpage>. <pub-id pub-id-type="doi">10.1186/s12943-019-1008-0</pub-id> <pub-id pub-id-type="pmid">31109338</pub-id></mixed-citation></ref>
<ref id="B97">
<label>97.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname> <given-names>D</given-names></name> <name><surname>Chen</surname> <given-names>Q</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Yang</surname> <given-names>J</given-names></name> <name><surname>Tao</surname> <given-names>Y</given-names></name> <name><surname>Ji</surname> <given-names>L</given-names></name><etal/></person-group> <article-title>Microbiome-metabolome interplay in pancreatic cancer progression: insights from multi-omics analysis.</article-title> <source><italic>Mol Cancer</italic>.</source> (<year>2025</year>) <volume>24</volume>:<fpage>240</fpage>. <pub-id pub-id-type="doi">10.1186/s12943-025-02458-9</pub-id> <pub-id pub-id-type="pmid">41039548</pub-id></mixed-citation></ref>
<ref id="B98">
<label>98.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>X</given-names></name> <name><surname>Ren</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zhou</surname> <given-names>F</given-names></name> <name><surname>Huang</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Integrated analysis of microbiome and metabolome reveals signatures in PDAC tumorigenesis and prognosis.</article-title> <source><italic>Microbiol Spectr</italic>.</source> (<year>2024</year>) <volume>12</volume>:<fpage>e0096224</fpage>. <pub-id pub-id-type="doi">10.1128/spectrum.00962-24</pub-id> <pub-id pub-id-type="pmid">39387592</pub-id></mixed-citation></ref>
<ref id="B99">
<label>99.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Guo</surname> <given-names>S</given-names></name> <name><surname>Mei</surname> <given-names>Z</given-names></name> <name><surname>Liao</surname> <given-names>H</given-names></name> <name><surname>Dong</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Tumor microbiome contributes to an aggressive phenotype in the basal-like subtype of pancreatic cancer.</article-title> <source><italic>Commun Biol</italic>.</source> (<year>2021</year>) <volume>4</volume>:<fpage>1019</fpage>. <pub-id pub-id-type="doi">10.1038/s42003-021-02557-5</pub-id> <pub-id pub-id-type="pmid">34465850</pub-id></mixed-citation></ref>
<ref id="B100">
<label>100.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dickson</surname> <given-names>I</given-names></name></person-group>. <article-title>Microbiome promotes pancreatic cancer.</article-title> <source><italic>Nat Rev Gastroenterol Hepatol</italic>.</source> (<year>2018</year>) <volume>15</volume>:<fpage>328</fpage>. <pub-id pub-id-type="doi">10.1038/s41575-018-0013-x</pub-id> <pub-id pub-id-type="pmid">29674642</pub-id></mixed-citation></ref>
<ref id="B101">
<label>101.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Winter</surname> <given-names>SE</given-names></name> <name><surname>B&#x00E4;umler</surname> <given-names>AJ</given-names></name></person-group>. <article-title>Gut dysbiosis: ecological causes and causative effects on human disease.</article-title> <source><italic>Proc Natl Acad Sci U S A</italic>.</source> (<year>2023</year>) <volume>120</volume>:<fpage>e2316579120</fpage>. <pub-id pub-id-type="doi">10.1073/pnas.2316579120</pub-id> <pub-id pub-id-type="pmid">38048456</pub-id></mixed-citation></ref>
<ref id="B102">
<label>102.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>B</given-names></name> <name><surname>Yao</surname> <given-names>M</given-names></name> <name><surname>Lv</surname> <given-names>L</given-names></name> <name><surname>Ling</surname> <given-names>Z</given-names></name> <name><surname>Li</surname> <given-names>L</given-names></name></person-group>. <article-title>The human microbiota in health and disease.</article-title> <source><italic>Engineering</italic>.</source> (<year>2017</year>) <volume>3</volume>:<fpage>71</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1016/J.ENG.2017.01.008</pub-id></mixed-citation></ref>
<ref id="B103">
<label>103.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname> <given-names>C</given-names></name> <name><surname>Bai</surname> <given-names>C</given-names></name> <name><surname>Brown</surname> <given-names>TD</given-names></name> <name><surname>Hood</surname> <given-names>LE</given-names></name> <name><surname>Tian</surname> <given-names>Q</given-names></name></person-group>. <article-title>Human gut microbiota and gastrointestinal cancer.</article-title> <source><italic>Genomics Proteomics Bioinformatics</italic>.</source> (<year>2018</year>) <volume>16</volume>:<fpage>33</fpage>&#x2013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.1016/j.gpb.2017.06.002</pub-id> <pub-id pub-id-type="pmid">29474889</pub-id></mixed-citation></ref>
<ref id="B104">
<label>104.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>KY</given-names></name> <name><surname>Yuan</surname> <given-names>JL</given-names></name> <name><surname>Trafton</surname> <given-names>D</given-names></name> <name><surname>Wang</surname> <given-names>JX</given-names></name> <name><surname>Niu</surname> <given-names>N</given-names></name> <name><surname>Yuan</surname> <given-names>CH</given-names></name><etal/></person-group> <article-title>Pancreatic ductal adenocarcinoma immune microenvironment and immunotherapy prospects.</article-title> <source><italic>Chronic Dis Transl Med</italic>.</source> (<year>2020</year>) <volume>6</volume>:<fpage>6</fpage>&#x2013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/j.cdtm.2020.01.002</pub-id> <pub-id pub-id-type="pmid">32226930</pub-id></mixed-citation></ref>
<ref id="B105">
<label>105.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xi</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Gao</surname> <given-names>X</given-names></name> <name><surname>Huang</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Reverse intratumor bacteria-induced gemcitabine resistance with carbon nanozymes for enhanced tumor catalytic-chemo therapy.</article-title> <source><italic>Nano Today</italic>.</source> (<year>2022</year>) <volume>43</volume>:<fpage>101395</fpage>. <pub-id pub-id-type="doi">10.1016/j.nantod.2022.101395</pub-id></mixed-citation></ref>
<ref id="B106">
<label>106.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>YW</given-names></name></person-group>. <article-title><italic>Fusobacterium nucleatum</italic>: a commensal-turned pathogen.</article-title> <source><italic>Curr Opin Microbiol</italic>.</source> (<year>2015</year>) <volume>23</volume>:<fpage>141</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.mib.2014.11.013</pub-id> <pub-id pub-id-type="pmid">25576662</pub-id></mixed-citation></ref>
<ref id="B107">
<label>107.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Udayasuryan</surname> <given-names>B</given-names></name> <name><surname>Zhou</surname> <given-names>Z</given-names></name> <name><surname>Ahmad</surname> <given-names>RN</given-names></name> <name><surname>Sobol</surname> <given-names>P</given-names></name> <name><surname>Deng</surname> <given-names>C</given-names></name> <name><surname>Nguyen</surname> <given-names>TTD</given-names></name><etal/></person-group> <article-title><italic>Fusobacterium nucleatum</italic> infection modulates the transcriptome and epigenome of HCT116 colorectal cancer cells in an oxygen-dependent manner.</article-title> <source><italic>Commun Biol</italic>.</source> (<year>2024</year>) <volume>7</volume>:<fpage>551</fpage>. <pub-id pub-id-type="doi">10.1038/s42003-024-06201-w</pub-id> <pub-id pub-id-type="pmid">38720110</pub-id></mixed-citation></ref>
<ref id="B108">
<label>108.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shimosaka</surname> <given-names>M</given-names></name> <name><surname>Kondo</surname> <given-names>J</given-names></name> <name><surname>Sonoda</surname> <given-names>M</given-names></name> <name><surname>Kawaguchi</surname> <given-names>R</given-names></name> <name><surname>Noda</surname> <given-names>E</given-names></name> <name><surname>Nishikori</surname> <given-names>K</given-names></name><etal/></person-group> <article-title>Invasion of pancreatic ductal epithelial cells by <italic>Enterococcus faecalis</italic> is mediated by fibronectin and enterococcal fibronectin-binding protein A.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>2585</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-025-86531-9</pub-id> <pub-id pub-id-type="pmid">39833342</pub-id></mixed-citation></ref>
<ref id="B109">
<label>109.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kunovsky</surname> <given-names>L</given-names></name> <name><surname>Dite</surname> <given-names>P</given-names></name> <name><surname>Jabandziev</surname> <given-names>P</given-names></name> <name><surname>Dolina</surname> <given-names>J</given-names></name> <name><surname>Vaculova</surname> <given-names>J</given-names></name> <name><surname>Blaho</surname> <given-names>M</given-names></name><etal/></person-group> <article-title><italic>Helicobacter pylori</italic> infection and other bacteria in pancreatic cancer and autoimmune pancreatitis.</article-title> <source><italic>World J Gastrointest Oncol</italic>.</source> (<year>2021</year>) <volume>13</volume>:<fpage>835</fpage>&#x2013;<lpage>44</lpage>. <pub-id pub-id-type="doi">10.4251/wjgo.v13.i8.835</pub-id> <pub-id pub-id-type="pmid">34457189</pub-id></mixed-citation></ref>
<ref id="B110">
<label>110.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ogrendik</surname> <given-names>M</given-names></name></person-group>. <article-title>The association between oral anaerobic bacteria and pancreatic cancer.</article-title> <source><italic>World J Oncol</italic>.</source> (<year>2023</year>) <volume>14</volume>:<fpage>174</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.14740/wjon1596</pub-id> <pub-id pub-id-type="pmid">37350809</pub-id></mixed-citation></ref>
<ref id="B111">
<label>111.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tabrizi</surname> <given-names>E</given-names></name> <name><surname>Pourteymour Fard Tabrizi</surname> <given-names>F</given-names></name> <name><surname>Mahmoud Khaled</surname> <given-names>G</given-names></name> <name><surname>Sestito</surname> <given-names>MP</given-names></name> <name><surname>Jamie</surname> <given-names>S</given-names></name> <name><surname>Boone</surname> <given-names>BA</given-names></name></person-group>. <article-title>Unraveling the gut microbiome&#x2019;s contribution to pancreatic ductal adenocarcinoma: mechanistic insights and therapeutic perspectives.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2024</year>) <volume>15</volume>:<fpage>1434771</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2024.1434771</pub-id> <pub-id pub-id-type="pmid">39044834</pub-id></mixed-citation></ref>
<ref id="B112">
<label>112.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>L</given-names></name> <name><surname>Duan</surname> <given-names>X</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>D</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Implications of intratumoral microbiota in tumor metastasis: a special perspective of microorganisms in tumorigenesis and clinical therapeutics.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1526589</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2025.1526589</pub-id> <pub-id pub-id-type="pmid">39995663</pub-id></mixed-citation></ref>
<ref id="B113">
<label>113.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>S</given-names></name> <name><surname>Xiao</surname> <given-names>X</given-names></name> <name><surname>Yi</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>L</given-names></name> <name><surname>Shen</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets.</article-title> <source><italic>Signal Transduct Target Ther</italic>.</source> (<year>2024</year>) <volume>9</volume>:<fpage>149</fpage>. <pub-id pub-id-type="doi">10.1038/s41392-024-01848-7</pub-id> <pub-id pub-id-type="pmid">38890350</pub-id></mixed-citation></ref>
<ref id="B114">
<label>114.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Segata</surname> <given-names>N</given-names></name> <name><surname>Haake</surname> <given-names>SK</given-names></name> <name><surname>Mannon</surname> <given-names>P</given-names></name> <name><surname>Lemon</surname> <given-names>KP</given-names></name> <name><surname>Waldron</surname> <given-names>L</given-names></name> <name><surname>Gevers</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Composition of the adult digestive tract bacterial microbiome based on seven mouth surfaces, tonsils, throat and stool samples.</article-title> <source><italic>Genome Biol</italic>.</source> (<year>2012</year>) <volume>13</volume>:<fpage>R42</fpage>. <pub-id pub-id-type="doi">10.1186/gb-2012-13-6-r42</pub-id> <pub-id pub-id-type="pmid">22698087</pub-id></mixed-citation></ref>
<ref id="B115">
<label>115.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maisonneuve</surname> <given-names>P</given-names></name> <name><surname>Amar</surname> <given-names>S</given-names></name> <name><surname>Lowenfels</surname> <given-names>AB</given-names></name></person-group>. <article-title>Periodontal disease, edentulism, and pancreatic cancer: a meta-analysis.</article-title> <source><italic>Ann Oncol</italic>.</source> (<year>2017</year>) <volume>28</volume>:<fpage>985</fpage>&#x2013;<lpage>95</lpage>. <pub-id pub-id-type="doi">10.1093/annonc/mdx019</pub-id> <pub-id pub-id-type="pmid">28453689</pub-id></mixed-citation></ref>
<ref id="B116">
<label>116.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hong</surname> <given-names>J</given-names></name> <name><surname>Fu</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>Gut microbiome changes associated with chronic pancreatitis and pancreatic cancer: a systematic review and meta-analysis.</article-title> <source><italic>Int J Surg</italic>.</source> (<year>2024</year>) <volume>110</volume>:<fpage>5781</fpage>&#x2013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1097/JS9.0000000000001724</pub-id> <pub-id pub-id-type="pmid">38847785</pub-id></mixed-citation></ref>
<ref id="B117">
<label>117.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Di Carlo</surname> <given-names>P</given-names></name> <name><surname>Serra</surname> <given-names>N</given-names></name> <name><surname>Fasciana</surname> <given-names>TMA</given-names></name> <name><surname>Giammanco</surname> <given-names>A</given-names></name> <name><surname>D&#x2019;Arpa</surname> <given-names>F</given-names></name> <name><surname>Rea</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>Microbial profile in bile from pancreatic and extra-pancreatic biliary tract cancer.</article-title> <source><italic>PLoS One</italic>.</source> (<year>2024</year>) <volume>19</volume>:<fpage>e0294049</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0294049</pub-id> <pub-id pub-id-type="pmid">38381746</pub-id></mixed-citation></ref>
<ref id="B118">
<label>118.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yadav</surname> <given-names>D</given-names></name> <name><surname>Lowenfels</surname> <given-names>AB</given-names></name></person-group>. <article-title>The epidemiology of pancreatitis and pancreatic cancer.</article-title> <source><italic>Gastroenterology</italic>.</source> (<year>2013</year>) <volume>144</volume>:<fpage>1252</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1053/j.gastro.2013.01.068</pub-id> <pub-id pub-id-type="pmid">23622135</pub-id></mixed-citation></ref>
<ref id="B119">
<label>119.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <name><surname>Zhang</surname> <given-names>S</given-names></name> <name><surname>Wei</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>S</given-names></name></person-group>. <article-title>The interplay between inflammation and stromal components in pancreatic cancer.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2022</year>) <volume>13</volume>:<fpage>850093</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2022.850093</pub-id> <pub-id pub-id-type="pmid">35493517</pub-id></mixed-citation></ref>
<ref id="B120">
<label>120.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Feng</surname> <given-names>L</given-names></name> <name><surname>Qi</surname> <given-names>Q</given-names></name> <name><surname>Wang</surname> <given-names>P</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name> <name><surname>Chen</surname> <given-names>Z</given-names></name> <name><surname>Meng</surname> <given-names>Z</given-names></name><etal/></person-group> <article-title>Serum levels of IL-6, IL-8, and IL-10 are indicators of prognosis in pancreatic cancer.</article-title> <source><italic>J Int Med Res</italic>.</source> (<year>2018</year>) <volume>46</volume>:<fpage>5228</fpage>&#x2013;<lpage>36</lpage>. <pub-id pub-id-type="doi">10.1177/0300060518800588</pub-id> <pub-id pub-id-type="pmid">30304975</pub-id></mixed-citation></ref>
<ref id="B121">
<label>121.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Le Noci</surname> <given-names>V</given-names></name> <name><surname>Bernardo</surname> <given-names>G</given-names></name> <name><surname>Bianchi</surname> <given-names>F</given-names></name> <name><surname>Tagliabue</surname> <given-names>E</given-names></name> <name><surname>Sommariva</surname> <given-names>M</given-names></name> <name><surname>Sfondrini</surname> <given-names>L</given-names></name></person-group>. <article-title>Toll like receptors as sensors of the tumor microbial dysbiosis: implications in cancer progression.</article-title> <source><italic>Front Cell Dev Biol</italic>.</source> (<year>2021</year>) <volume>9</volume>:<fpage>732192</fpage>. <pub-id pub-id-type="doi">10.3389/fcell.2021.732192</pub-id> <pub-id pub-id-type="pmid">34604233</pub-id></mixed-citation></ref>
<ref id="B122">
<label>122.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Son</surname> <given-names>YM</given-names></name> <name><surname>Kim</surname> <given-names>J</given-names></name></person-group>. <article-title>The microbiome-immune axis therapeutic effects in cancer treatments.</article-title> <source><italic>J Microbiol Biotechnol</italic>.</source> (<year>2022</year>) <volume>32</volume>:<fpage>1086</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.4014/jmb.2208.08002</pub-id> <pub-id pub-id-type="pmid">36116940</pub-id></mixed-citation></ref>
<ref id="B123">
<label>123.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Okusaka</surname> <given-names>T</given-names></name> <name><surname>Nakamura</surname> <given-names>M</given-names></name> <name><surname>Yoshida</surname> <given-names>M</given-names></name> <name><surname>Kitano</surname> <given-names>M</given-names></name> <name><surname>Ito</surname> <given-names>Y</given-names></name> <name><surname>Mizuno</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Clinical Practice Guidelines for Pancreatic Cancer 2022 from the Japan Pancreas Society: a synopsis.</article-title> <source><italic>Int J Clin Oncol</italic>.</source> (<year>2022</year>) <volume>28</volume>:<fpage>493</fpage>&#x2013;<lpage>511</lpage>. <pub-id pub-id-type="doi">10.1007/s10147-023-02317-x</pub-id> <pub-id pub-id-type="pmid">36920680</pub-id></mixed-citation></ref>
<ref id="B124">
<label>124.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>S</given-names></name> <name><surname>Hao</surname> <given-names>S</given-names></name> <name><surname>Ye</surname> <given-names>H</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name></person-group>. <article-title>Crosstalk between gut microbiota and cancer chemotherapy: current status and trends.</article-title> <source><italic>Discov Oncol</italic>.</source> (<year>2024</year>) <volume>15</volume>:<fpage>833</fpage>. <pub-id pub-id-type="doi">10.1007/s12672-024-01704-8</pub-id> <pub-id pub-id-type="pmid">39715958</pub-id></mixed-citation></ref>
<ref id="B125">
<label>125.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>J</given-names></name> <name><surname>Song</surname> <given-names>S</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>F</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Wu</surname> <given-names>G</given-names></name></person-group>. <article-title>Gut microbiota as a new target for anticancer therapy: from mechanism to means of regulation.</article-title> <source><italic>NPJ Biofilms Microbiomes</italic>.</source> (<year>2025</year>) <volume>11</volume>:<fpage>43</fpage>. <pub-id pub-id-type="doi">10.1038/s41522-025-00678-x</pub-id> <pub-id pub-id-type="pmid">40069181</pub-id></mixed-citation></ref>
<ref id="B126">
<label>126.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>Fu</surname> <given-names>L</given-names></name> <name><surname>Leiliang</surname> <given-names>X</given-names></name> <name><surname>Qu</surname> <given-names>C</given-names></name> <name><surname>Wu</surname> <given-names>W</given-names></name> <name><surname>Wen</surname> <given-names>R</given-names></name><etal/></person-group> <article-title>Beyond the Gut: the intratumoral microbiome&#x2019;s influence on tumorigenesis and treatment response.</article-title> <source><italic>Cancer Commun</italic>.</source> (<year>2024</year>) <volume>44</volume>:<fpage>1130</fpage>&#x2013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1002/cac2.12597</pub-id> <pub-id pub-id-type="pmid">39087354</pub-id></mixed-citation></ref>
<ref id="B127">
<label>127.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Belkaid</surname> <given-names>Y</given-names></name> <name><surname>Hand</surname> <given-names>TW</given-names></name></person-group>. <article-title>Role of the microbiota in immunity and inflammation.</article-title> <source><italic>Cell</italic>.</source> (<year>2014</year>) <volume>157</volume>:<fpage>121</fpage>&#x2013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2014.03.011</pub-id> <pub-id pub-id-type="pmid">24679531</pub-id></mixed-citation></ref>
<ref id="B128">
<label>128.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>J</given-names></name> <name><surname>Fu</surname> <given-names>L</given-names></name> <name><surname>Wu</surname> <given-names>R</given-names></name> <name><surname>Che</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>G</given-names></name> <name><surname>Ran</surname> <given-names>Q</given-names></name><etal/></person-group> <article-title>Immunocytes in the tumor microenvironment: recent updates and interconnections.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1517959</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2025.1517959</pub-id> <pub-id pub-id-type="pmid">40297580</pub-id></mixed-citation></ref>
<ref id="B129">
<label>129.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kesh</surname> <given-names>K</given-names></name> <name><surname>Mendez</surname> <given-names>R</given-names></name> <name><surname>Abdelrahman</surname> <given-names>L</given-names></name> <name><surname>Banerjee</surname> <given-names>S</given-names></name> <name><surname>Banerjee</surname> <given-names>S</given-names></name></person-group>. <article-title>Type 2 diabetes induced microbiome dysbiosis is associated with therapy resistance in pancreatic adenocarcinoma.</article-title> <source><italic>Microb Cell Fact</italic>.</source> (<year>2020</year>) <volume>19</volume>:<fpage>75</fpage>. <pub-id pub-id-type="doi">10.1186/s12934-020-01330-3</pub-id> <pub-id pub-id-type="pmid">32204699</pub-id></mixed-citation></ref>
<ref id="B130">
<label>130.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chick</surname> <given-names>RC</given-names></name> <name><surname>Pawlik</surname> <given-names>TM</given-names></name></person-group>. <article-title>Updates in immunotherapy for pancreatic cancer.</article-title> <source><italic>J Clin Med</italic>.</source> (<year>2024</year>) <volume>13</volume>:<fpage>6419</fpage>. <pub-id pub-id-type="doi">10.3390/jcm13216419</pub-id> <pub-id pub-id-type="pmid">39518557</pub-id></mixed-citation></ref>
<ref id="B131">
<label>131.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gong</surname> <given-names>E</given-names></name> <name><surname>Fulop</surname> <given-names>DJ</given-names></name> <name><surname>Serebrenik</surname> <given-names>J</given-names></name> <name><surname>Labiner</surname> <given-names>AJ</given-names></name> <name><surname>Cohen</surname> <given-names>DJ</given-names></name> <name><surname>Sigel</surname> <given-names>KM</given-names></name><etal/></person-group> <article-title>Antibiotic treatment and survival in patients with resected, early-stage pancreatic ductal adenocarcinoma receiving chemotherapy.</article-title> <source><italic>JNCI Cancer Spectr</italic>.</source> (<year>2025</year>) <volume>9</volume>:<fpage>kaf024</fpage>. <pub-id pub-id-type="doi">10.1093/jncics/pkaf024</pub-id> <pub-id pub-id-type="pmid">39982394</pub-id></mixed-citation></ref>
<ref id="B132">
<label>132.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Corty</surname> <given-names>RW</given-names></name> <name><surname>Langworthy</surname> <given-names>BW</given-names></name> <name><surname>Fine</surname> <given-names>JP</given-names></name> <name><surname>Buse</surname> <given-names>JB</given-names></name> <name><surname>Sanoff</surname> <given-names>HK</given-names></name> <name><surname>Lund</surname> <given-names>JL</given-names></name></person-group>. <article-title>Antibacterial use is associated with an increased risk of hematologic and gastrointestinal adverse events in patients treated with gemcitabine for stage IV pancreatic cancer.</article-title> <source><italic>Oncologist</italic>.</source> (<year>2020</year>) <volume>25</volume>:<fpage>579</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1634/theoncologist.2019-0570</pub-id> <pub-id pub-id-type="pmid">32181968</pub-id></mixed-citation></ref>
<ref id="B133">
<label>133.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kita</surname> <given-names>A</given-names></name> <name><surname>Fujiya</surname> <given-names>M</given-names></name> <name><surname>Konishi</surname> <given-names>H</given-names></name> <name><surname>Tanaka</surname> <given-names>H</given-names></name> <name><surname>Kashima</surname> <given-names>S</given-names></name> <name><surname>Iwama</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>Probiotic-derived ferrichrome inhibits the growth of refractory pancreatic cancer cells.</article-title> <source><italic>Int J Oncol</italic>.</source> (<year>2020</year>) <volume>57</volume>:<fpage>721</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.3892/ijo.2020.5096</pub-id> <pub-id pub-id-type="pmid">32705165</pub-id></mixed-citation></ref>
<ref id="B134">
<label>134.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Panebianco</surname> <given-names>C</given-names></name> <name><surname>Villani</surname> <given-names>A</given-names></name> <name><surname>Pisati</surname> <given-names>F</given-names></name> <name><surname>Orsenigo</surname> <given-names>F</given-names></name> <name><surname>Ulaszewska</surname> <given-names>M</given-names></name> <name><surname>Latiano</surname> <given-names>TP</given-names></name><etal/></person-group> <article-title>Butyrate, a postbiotic of intestinal bacteria, affects pancreatic cancer and gemcitabine response in in vitro and in vivo models.</article-title> <source><italic>Biomed Pharmacother</italic>.</source> (<year>2022</year>) <volume>151</volume>:<fpage>113163</fpage>. <pub-id pub-id-type="doi">10.1016/j.biopha.2022.113163</pub-id> <pub-id pub-id-type="pmid">35617803</pub-id></mixed-citation></ref>
<ref id="B135">
<label>135.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kyriakidis</surname> <given-names>NC</given-names></name> <name><surname>Echeverr&#x00ED;a</surname> <given-names>CE</given-names></name> <name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Rivera-Orellana</surname> <given-names>S</given-names></name> <name><surname>Ramos-Medina</surname> <given-names>MJ</given-names></name> <name><surname>Salazar-Santoliva</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Reprogramming cancer immunity with next-generation combination therapies.</article-title> <source><italic>Front Cell Dev Biol</italic>.</source> (<year>2025</year>) <volume>13</volume>:<fpage>1652047</fpage>. <pub-id pub-id-type="doi">10.3389/fcell.2025.1652047</pub-id> <pub-id pub-id-type="pmid">40950404</pub-id></mixed-citation></ref>
<ref id="B136">
<label>136.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Cheng</surname> <given-names>W</given-names></name> <name><surname>Yang</surname> <given-names>R</given-names></name></person-group>. <article-title>Nervous system-gut microbiota-immune system axis: future directions for preventing tumor.</article-title> <source><italic>Front Immunol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1535955</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2025.1535955</pub-id> <pub-id pub-id-type="pmid">40376000</pub-id></mixed-citation></ref>
<ref id="B137">
<label>137.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aresti Sanz</surname> <given-names>J</given-names></name> <name><surname>El Aidy</surname> <given-names>S</given-names></name></person-group>. <article-title>Microbiota and gut neuropeptides: a dual action of antimicrobial activity and neuroimmune response.</article-title> <source><italic>Psychopharmacology</italic>.</source> (<year>2019</year>) <volume>236</volume>:<fpage>1597</fpage>&#x2013;<lpage>609</lpage>. <pub-id pub-id-type="doi">10.1007/s00213-019-05224-0</pub-id> <pub-id pub-id-type="pmid">30997526</pub-id></mixed-citation></ref>
<ref id="B138">
<label>138.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pust</surname> <given-names>MM</given-names></name> <name><surname>Rocha Castellanos</surname> <given-names>DM</given-names></name> <name><surname>Rzasa</surname> <given-names>K</given-names></name> <name><surname>Dame</surname> <given-names>A</given-names></name> <name><surname>Pishchany</surname> <given-names>G</given-names></name> <name><surname>Assawasirisin</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Absence of a pancreatic microbiome in intraductal papillary mucinous neoplasm.</article-title> <source><italic>Gut</italic>.</source> (<year>2024</year>) <volume>73</volume>:<fpage>1131</fpage>&#x2013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1136/gutjnl-2023-331012</pub-id> <pub-id pub-id-type="pmid">38429112</pub-id></mixed-citation></ref>
<ref id="B139">
<label>139.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>May</surname> <given-names>MS</given-names></name> <name><surname>Park</surname> <given-names>H</given-names></name> <name><surname>Moallem</surname> <given-names>DH</given-names></name> <name><surname>Seeram</surname> <given-names>D</given-names></name> <name><surname>Dajiang</surname> <given-names>S</given-names></name> <name><surname>Hibshoosh</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Low bacterial biomass in human pancreatic cancer and adjacent normal tissue.</article-title> <source><italic>Int J Mol Sci</italic>.</source> (<year>2024</year>) <volume>26</volume>:<fpage>140</fpage>. <pub-id pub-id-type="doi">10.3390/ijms26010140</pub-id> <pub-id pub-id-type="pmid">39795998</pub-id></mixed-citation></ref>
<ref id="B140">
<label>140.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fierer</surname> <given-names>N</given-names></name> <name><surname>Leung</surname> <given-names>PM</given-names></name> <name><surname>Lappan</surname> <given-names>R</given-names></name> <name><surname>Eisenhofer</surname> <given-names>R</given-names></name> <name><surname>Ricci</surname> <given-names>F</given-names></name> <name><surname>Holland</surname> <given-names>SI</given-names></name><etal/></person-group> <article-title>Guidelines for preventing and reporting contamination in low-biomass microbiome studies.</article-title> <source><italic>Nat Microbiol</italic>.</source> (<year>2025</year>) <volume>10</volume>:<fpage>1570</fpage>&#x2013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.1038/s41564-025-02035-2</pub-id> <pub-id pub-id-type="pmid">40542287</pub-id></mixed-citation></ref>
<ref id="B141">
<label>141.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>de Castilhos</surname> <given-names>J</given-names></name> <name><surname>Tillmanns</surname> <given-names>K</given-names></name> <name><surname>Blessing</surname> <given-names>J</given-names></name> <name><surname>Lara&#x00F1;o</surname> <given-names>A</given-names></name> <name><surname>Borisov</surname> <given-names>V</given-names></name> <name><surname>Stein-Thoeringer</surname> <given-names>CK</given-names></name></person-group>. <article-title>Microbiome and pancreatic cancer: time to think about chemotherapy.</article-title> <source><italic>Gut Microbes</italic>.</source> (<year>2024</year>) <volume>16</volume>:<fpage>2374596</fpage>. <pub-id pub-id-type="doi">10.1080/19490976.2024.2374596</pub-id> <pub-id pub-id-type="pmid">39024520</pub-id></mixed-citation></ref>
<ref id="B142">
<label>142.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Eckhoff</surname> <given-names>AM</given-names></name> <name><surname>Fletcher</surname> <given-names>AA</given-names></name> <name><surname>Kelly</surname> <given-names>MS</given-names></name> <name><surname>Dohlman</surname> <given-names>AB</given-names></name> <name><surname>McIntyre</surname> <given-names>CA</given-names></name> <name><surname>Shen</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>Comprehensive assessment of the intrinsic pancreatic microbiome.</article-title> <source><italic>Ann Surg</italic>.</source> (<year>2025</year>) <volume>282</volume>:<fpage>1060</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1097/SLA.0000000000006299</pub-id> <pub-id pub-id-type="pmid">38623754</pub-id></mixed-citation></ref>
<ref id="B143">
<label>143.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>da Cruz</surname> <given-names>RS</given-names></name> <name><surname>Suguru</surname> <given-names>S</given-names></name> <name><surname>Paiva</surname> <given-names>SPC</given-names></name> <name><surname>Nwugwo</surname> <given-names>I</given-names></name> <name><surname>Kallakury</surname> <given-names>B</given-names></name> <name><surname>Weinberg</surname> <given-names>BA</given-names></name><etal/></person-group> <article-title>Obesity reprograms the normal pancreas and pancreatic cancer microbiome in mice and humans.</article-title> <source><italic>Front Microbiom.</italic></source> (<year>2025</year>) <volume>4</volume>:<fpage>1543144</fpage>. <pub-id pub-id-type="doi">10.3389/frmbi.2025.1543144</pub-id></mixed-citation></ref>
<ref id="B144">
<label>144.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sirasani</surname> <given-names>JP</given-names></name> <name><surname>Gardner</surname> <given-names>C</given-names></name> <name><surname>Jung</surname> <given-names>G</given-names></name> <name><surname>Lee</surname> <given-names>H</given-names></name> <name><surname>Ahn</surname> <given-names>TH</given-names></name></person-group>. <article-title>Bioinformatic approaches to blood and tissue microbiome analyses: challenges and perspectives.</article-title> <source><italic>Brief Bioinform</italic>.</source> (<year>2025</year>) <volume>26</volume>:<fpage>bbaf176</fpage>. <pub-id pub-id-type="doi">10.1093/bib/bbaf176</pub-id> <pub-id pub-id-type="pmid">40269515</pub-id></mixed-citation></ref>
<ref id="B145">
<label>145.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>La Reau</surname> <given-names>AJ</given-names></name> <name><surname>Strom</surname> <given-names>NB</given-names></name> <name><surname>Filvaroff</surname> <given-names>E</given-names></name> <name><surname>Mavrommatis</surname> <given-names>K</given-names></name> <name><surname>Ward</surname> <given-names>TL</given-names></name> <name><surname>Knights</surname> <given-names>D</given-names></name></person-group>. <article-title>Shallow shotgun sequencing reduces technical variation in microbiome analysis.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2023</year>) <volume>13</volume>:<fpage>7668</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-023-33489-1</pub-id> <pub-id pub-id-type="pmid">37169816</pub-id></mixed-citation></ref>
<ref id="B146">
<label>146.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ling</surname> <given-names>W</given-names></name> <name><surname>Lu</surname> <given-names>J</given-names></name> <name><surname>Zhao</surname> <given-names>N</given-names></name> <name><surname>Lulla</surname> <given-names>A</given-names></name> <name><surname>Plantinga</surname> <given-names>AM</given-names></name> <name><surname>Fu</surname> <given-names>W</given-names></name><etal/></person-group> <article-title>Batch effects removal for microbiome data via conditional quantile regression.</article-title> <source><italic>Nat Commun</italic>.</source> (<year>2022</year>) <volume>13</volume>:<fpage>5418</fpage>. <pub-id pub-id-type="doi">10.1038/s41467-022-33071-9</pub-id> <pub-id pub-id-type="pmid">36109499</pub-id></mixed-citation></ref>
<ref id="B147">
<label>147.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>Z</given-names></name> <name><surname>Chen</surname> <given-names>G</given-names></name> <name><surname>Tang</surname> <given-names>ZZ</given-names></name></person-group>. <article-title>Melody: meta-analysis of microbiome association studies for discovering generalizable microbial signatures.</article-title> <source><italic>Genome Biol</italic>.</source> (<year>2025</year>) <volume>26</volume>:<fpage>245</fpage>. <pub-id pub-id-type="doi">10.1186/s13059-025-03721-4</pub-id> <pub-id pub-id-type="pmid">40826361</pub-id></mixed-citation></ref>
<ref id="B148">
<label>148.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Piccinno</surname> <given-names>G</given-names></name> <name><surname>Thompson</surname> <given-names>KN</given-names></name> <name><surname>Manghi</surname> <given-names>P</given-names></name> <name><surname>Ghazi</surname> <given-names>AR</given-names></name> <name><surname>Thomas</surname> <given-names>AM</given-names></name> <name><surname>Blanco-M&#x00ED;guez</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>Pooled analysis of 3,741 stool metagenomes from 18 cohorts for cross-stage and strain-level reproducible microbial biomarkers of colorectal cancer.</article-title> <source><italic>Nat Med</italic>.</source> (<year>2025</year>) <volume>31</volume>:<fpage>2416</fpage>&#x2013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-025-03693-9</pub-id> <pub-id pub-id-type="pmid">40461820</pub-id></mixed-citation></ref>
<ref id="B149">
<label>149.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Storrs</surname> <given-names>EP</given-names></name> <name><surname>Chati</surname> <given-names>P</given-names></name> <name><surname>Usmani</surname> <given-names>A</given-names></name> <name><surname>Sloan</surname> <given-names>I</given-names></name> <name><surname>Krasnick</surname> <given-names>BA</given-names></name> <name><surname>Babbra</surname> <given-names>R</given-names></name><etal/></person-group> <article-title>High-dimensional deconstruction of pancreatic cancer identifies tumor microenvironmental and developmental stemness features that predict survival.</article-title> <source><italic>NPJ Precis Oncol</italic>.</source> (<year>2023</year>) <volume>7</volume>:<fpage>105</fpage>. <pub-id pub-id-type="doi">10.1038/s41698-023-00455-z</pub-id> <pub-id pub-id-type="pmid">37857854</pub-id></mixed-citation></ref>
<ref id="B150">
<label>150.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moore</surname> <given-names>TW</given-names></name> <name><surname>Spiliotopoulos</surname> <given-names>E</given-names></name> <name><surname>Callahan</surname> <given-names>RL</given-names></name> <name><surname>Kirschbaum</surname> <given-names>CW</given-names></name> <name><surname>Bailey</surname> <given-names>CF</given-names></name> <name><surname>Kim</surname> <given-names>HJ</given-names></name><etal/></person-group> <article-title>Cell free RNA detection of pancreatic cancer in pre diagnostic high risk and symptomatic patients.</article-title> <source><italic>Nat Commun</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>7345</fpage>. <pub-id pub-id-type="doi">10.1038/s41467-025-62685-y</pub-id> <pub-id pub-id-type="pmid">40783559</pub-id></mixed-citation></ref>
<ref id="B151">
<label>151.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hayashi</surname> <given-names>A</given-names></name> <name><surname>Ho</surname> <given-names>YJ</given-names></name> <name><surname>Makohon-Moore</surname> <given-names>AP</given-names></name> <name><surname>Zucker</surname> <given-names>A</given-names></name> <name><surname>Hong</surname> <given-names>J</given-names></name> <name><surname>Umeda</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>The noncoding mutational landscape of pancreatic cancer reveals recurrent somatic mutations in enhancer regions.</article-title> <source><italic>Cancer Res Commun</italic>.</source> (<year>2025</year>) <volume>5</volume>:<fpage>1839</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1158/2767-9764.CRC-24-0167</pub-id> <pub-id pub-id-type="pmid">40971319</pub-id></mixed-citation></ref>
<ref id="B152">
<label>152.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>Z</given-names></name> <name><surname>Wang</surname> <given-names>W</given-names></name> <name><surname>Wang</surname> <given-names>T</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>GMrepo v3: a curated human gut microbiome database with expanded disease coverage and enhanced cross-dataset biomarker analysis.</article-title> <source><italic>Nucleic Acids Res.</italic></source> (<year>2025</year>):<comment>[Online ahead of print]</comment>. <pub-id pub-id-type="doi">10.1093/nar/gkaf1190</pub-id> <pub-id pub-id-type="pmid">41277537</pub-id></mixed-citation></ref>
<ref id="B153">
<label>153.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Matchado</surname> <given-names>MS</given-names></name> <name><surname>R&#x00FC;hlemann</surname> <given-names>M</given-names></name> <name><surname>Reitmeier</surname> <given-names>S</given-names></name> <name><surname>Kacprowski</surname> <given-names>T</given-names></name> <name><surname>Frost</surname> <given-names>F</given-names></name> <name><surname>Haller</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>On the limits of 16S rRNA gene-based metagenome prediction and functional profiling.</article-title> <source><italic>Microb Genom</italic>.</source> (<year>2024</year>) <volume>10</volume>:<fpage>001203</fpage>. <pub-id pub-id-type="doi">10.1099/mgen.0.001203</pub-id> <pub-id pub-id-type="pmid">38421266</pub-id></mixed-citation></ref>
<ref id="B154">
<label>154.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chia</surname> <given-names>M</given-names></name> <name><surname>Pop</surname> <given-names>M</given-names></name> <name><surname>Salzberg</surname> <given-names>SL</given-names></name> <name><surname>Nagarajan</surname> <given-names>N</given-names></name></person-group>. <article-title>Challenges and opportunities in analyzing cancer-associated microbiomes.</article-title> <source><italic>Cancer Res</italic>.</source> (<year>2025</year>) <volume>85</volume>:<fpage>3584</fpage>&#x2013;<lpage>95</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-24-3629</pub-id> <pub-id pub-id-type="pmid">40794770</pub-id></mixed-citation></ref>
<ref id="B155">
<label>155.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nagata</surname> <given-names>N</given-names></name> <name><surname>Nishijima</surname> <given-names>S</given-names></name> <name><surname>Kojima</surname> <given-names>Y</given-names></name> <name><surname>Hisada</surname> <given-names>Y</given-names></name> <name><surname>Imbe</surname> <given-names>K</given-names></name> <name><surname>Miyoshi-Akiyama</surname> <given-names>T</given-names></name><etal/></person-group> <article-title>Metagenomic identification of microbial signatures predicting pancreatic cancer from a multinational study.</article-title> <source><italic>Gastroenterology</italic>.</source> (<year>2022</year>) <volume>163</volume>:<fpage>222</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1053/j.gastro.2022.03.054</pub-id> <pub-id pub-id-type="pmid">35398347</pub-id></mixed-citation></ref>
<ref id="B156">
<label>156.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liao</surname> <given-names>F</given-names></name> <name><surname>Xia</surname> <given-names>Y</given-names></name> <name><surname>Gu</surname> <given-names>W</given-names></name> <name><surname>Fu</surname> <given-names>X</given-names></name> <name><surname>Yuan</surname> <given-names>B</given-names></name></person-group>. <article-title>Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls.</article-title> <source><italic>PeerJ</italic>.</source> (<year>2023</year>) <volume>11</volume>:<fpage>e16394</fpage>. <pub-id pub-id-type="doi">10.7717/peerj.16394</pub-id> <pub-id pub-id-type="pmid">37941936</pub-id></mixed-citation></ref>
<ref id="B157">
<label>157.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>N</given-names></name> <name><surname>Zhang</surname> <given-names>J</given-names></name> <name><surname>Guo</surname> <given-names>W</given-names></name> <name><surname>Cao</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Gao</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Comparative analysis of metagenomic next-generation sequencing for pathogenic identification in clinical body fluid samples.</article-title> <source><italic>BMC Microbiol</italic>.</source> (<year>2025</year>) <volume>25</volume>:<fpage>165</fpage>. <pub-id pub-id-type="doi">10.1186/s12866-025-03887-8</pub-id> <pub-id pub-id-type="pmid">40128686</pub-id></mixed-citation></ref>
<ref id="B158">
<label>158.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mizutani</surname> <given-names>H</given-names></name> <name><surname>Fukui</surname> <given-names>S</given-names></name> <name><surname>Oosuka</surname> <given-names>K</given-names></name> <name><surname>Ikeda</surname> <given-names>K</given-names></name> <name><surname>Kobayashi</surname> <given-names>M</given-names></name> <name><surname>Shimada</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Biliary microbiome profiling via 16 S rRNA amplicon sequencing in patients with cholangiocarcinoma, pancreatic carcinoma and choledocholithiasis.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>16966</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-025-00976-6</pub-id> <pub-id pub-id-type="pmid">40374795</pub-id></mixed-citation></ref>
<ref id="B159">
<label>159.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Durazzi</surname> <given-names>F</given-names></name> <name><surname>Sala</surname> <given-names>C</given-names></name> <name><surname>Castellani</surname> <given-names>G</given-names></name> <name><surname>Manfreda</surname> <given-names>G</given-names></name> <name><surname>Remondini</surname> <given-names>D</given-names></name> <name><surname>De Cesare</surname> <given-names>A</given-names></name></person-group>. <article-title>Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2021</year>) <volume>11</volume>:<fpage>3030</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-021-82726-y</pub-id> <pub-id pub-id-type="pmid">33542369</pub-id></mixed-citation></ref>
<ref id="B160">
<label>160.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Usyk</surname> <given-names>M</given-names></name> <name><surname>Peters</surname> <given-names>BA</given-names></name> <name><surname>Karthikeyan</surname> <given-names>S</given-names></name> <name><surname>McDonald</surname> <given-names>D</given-names></name> <name><surname>Sollecito</surname> <given-names>CC</given-names></name> <name><surname>Vazquez-Baeza</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Comprehensive evaluation of shotgun metagenomics, amplicon sequencing, and harmonization of these platforms for epidemiological studies.</article-title> <source><italic>Cell Rep Methods</italic>.</source> (<year>2023</year>) <volume>3</volume>:<fpage>100391</fpage>. <pub-id pub-id-type="doi">10.1016/j.crmeth.2022.100391</pub-id> <pub-id pub-id-type="pmid">36814836</pub-id></mixed-citation></ref>
<ref id="B161">
<label>161.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>NN</given-names></name> <name><surname>Jiao</surname> <given-names>N</given-names></name> <name><surname>Tan</surname> <given-names>JC</given-names></name> <name><surname>Wang</surname> <given-names>Z</given-names></name> <name><surname>Wu</surname> <given-names>D</given-names></name> <name><surname>Wang</surname> <given-names>AJ</given-names></name><etal/></person-group> <article-title>Multi-kingdom microbiota analyses identify bacterial-fungal interactions and biomarkers of colorectal cancer across cohorts.</article-title> <source><italic>Nat Microbiol</italic>.</source> (<year>2022</year>) <volume>7</volume>:<fpage>238</fpage>&#x2013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1038/s41564-021-01030-7</pub-id> <pub-id pub-id-type="pmid">35087227</pub-id></mixed-citation></ref>
<ref id="B162">
<label>162.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stothart</surname> <given-names>MR</given-names></name> <name><surname>McLoughlin</surname> <given-names>PD</given-names></name> <name><surname>Poissant</surname> <given-names>J</given-names></name></person-group>. <article-title>Shallow shotgun sequencing of the microbiome recapitulates 16S amplicon results and provides functional insights.</article-title> <source><italic>Mol Ecol Resour</italic>.</source> (<year>2023</year>) <volume>23</volume>:<fpage>549</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1111/1755-0998.13713</pub-id> <pub-id pub-id-type="pmid">36112078</pub-id></mixed-citation></ref>
<ref id="B163">
<label>163.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Zhu</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <name><surname>Sun</surname> <given-names>C</given-names></name> <name><surname>Gao</surname> <given-names>NL</given-names></name><etal/></person-group> <article-title>Performance of gut microbiome as an independent diagnostic tool for 20 diseases: cross-cohort validation of machine-learning classifiers.</article-title> <source><italic>Gut Microbes</italic>.</source> (<year>2023</year>) <volume>15</volume>:<fpage>2205386</fpage>. <pub-id pub-id-type="doi">10.1080/19490976.2023.2205386</pub-id> <pub-id pub-id-type="pmid">37140125</pub-id></mixed-citation></ref>
<ref id="B164">
<label>164.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Chronobiome medicine: circadian regulation of host-microbiota crosstalk in systemic physiology.</article-title> <source><italic>Front Endocrinol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1691172</fpage>. <pub-id pub-id-type="doi">10.3389/fendo.2025.1691172</pub-id> <pub-id pub-id-type="pmid">41262263</pub-id></mixed-citation></ref>
<ref id="B165">
<label>165.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Ojeda-Mosquera</surname> <given-names>S</given-names></name> <name><surname>Altamirano-Colina</surname> <given-names>A</given-names></name> <name><surname>Hidalgo-Tinoco</surname> <given-names>C</given-names></name> <name><surname>Di Capua Delgado</surname> <given-names>M</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Bidirectional interactions between circadian rhythms and the gut microbiome.</article-title> <source><italic>Appl Microbiol Biotechnol</italic>.</source> (<year>2025</year>) <volume>109</volume>:<fpage>218</fpage>. <pub-id pub-id-type="doi">10.1007/s00253-025-13570-7</pub-id> <pub-id pub-id-type="pmid">41071209</pub-id></mixed-citation></ref>
<ref id="B166">
<label>166.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Ojeda-Mosquera</surname> <given-names>S</given-names></name> <name><surname>Ord&#x00F3;&#x00F1;ez-Lozada</surname> <given-names>D</given-names></name> <name><surname>L&#x00F3;pez-Cort&#x00E9;s</surname> <given-names>A</given-names></name></person-group>. <article-title>Peripheral clocks and systemic zeitgeber interactions: from molecular mechanisms to circadian precision medicine.</article-title> <source><italic>Front Endocrinol</italic>.</source> (<year>2025</year>) <volume>16</volume>:<fpage>1606242</fpage>. <pub-id pub-id-type="doi">10.3389/fendo.2025.1606242</pub-id> <pub-id pub-id-type="pmid">40510487</pub-id></mixed-citation></ref>
<ref id="B167">
<label>167.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>P&#x00E9;rez-Villa</surname> <given-names>A</given-names></name> <name><surname>Echeverr&#x00ED;a-Garc&#x00E9;s</surname> <given-names>G</given-names></name> <name><surname>Ramos-Medina</surname> <given-names>MJ</given-names></name> <name><surname>Prathap</surname> <given-names>L</given-names></name> <name><surname>Mart&#x00ED;nez-L&#x00F3;pez</surname> <given-names>M</given-names></name> <name><surname>Ram&#x00ED;rez-S&#x00E1;nchez</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>Integrated multi-omics analysis reveals the molecular interplay between circadian clocks and cancer pathogenesis.</article-title> <source><italic>Sci Rep</italic>.</source> (<year>2023</year>) <volume>13</volume>:<fpage>14198</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-023-39401-1</pub-id> <pub-id pub-id-type="pmid">37648722</pub-id></mixed-citation></ref>
<ref id="B168">
<label>168.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bautista</surname> <given-names>J</given-names></name> <name><surname>Lopez-Cortes</surname> <given-names>A</given-names></name></person-group>. <article-title>Oncogenic viruses rewire the epigenome in human cancer.</article-title> <source><italic>Front Cell Infect Microbiol</italic>.</source> (<year>2025</year>) <volume>15</volume>:<fpage>1617198</fpage>. <pub-id pub-id-type="doi">10.3389/fcimb.2025.1617198</pub-id> <pub-id pub-id-type="pmid">40557320</pub-id></mixed-citation></ref>
<ref id="B169">
<label>169.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ghaddar</surname> <given-names>B</given-names></name> <name><surname>Biswas</surname> <given-names>A</given-names></name> <name><surname>Harris</surname> <given-names>C</given-names></name> <name><surname>Omary</surname> <given-names>MB</given-names></name> <name><surname>Carpizo</surname> <given-names>DR</given-names></name> <name><surname>Blaser</surname> <given-names>MJ</given-names></name><etal/></person-group> <article-title>Tumor microbiome links cellular programs and immunity in pancreatic cancer.</article-title> <source><italic>Cancer Cell.</italic></source> (<year>2022</year>) <volume>40</volume>:<fpage>1240</fpage>&#x2013;<lpage>1253.e5</lpage>. <pub-id pub-id-type="doi">10.1016/j.ccell.2022.09.009</pub-id> <pub-id pub-id-type="pmid">36220074</pub-id></mixed-citation></ref>
<ref id="B170">
<label>170.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Galeano Ni&#x00F1;o</surname> <given-names>JL</given-names></name> <name><surname>Wu</surname> <given-names>H</given-names></name> <name><surname>LaCourse</surname> <given-names>KD</given-names></name> <name><surname>Kempchinsky</surname> <given-names>AG</given-names></name> <name><surname>Baryiames</surname> <given-names>A</given-names></name> <name><surname>Barber</surname> <given-names>B</given-names></name><etal/></person-group> <article-title>Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer.</article-title> <source><italic>Nature</italic>.</source> (<year>2022</year>) <volume>611</volume>:<fpage>810</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-022-05435-0</pub-id> <pub-id pub-id-type="pmid">36385528</pub-id></mixed-citation></ref>
<ref id="B171">
<label>171.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gihawi</surname> <given-names>A</given-names></name> <name><surname>Ge</surname> <given-names>Y</given-names></name> <name><surname>Lu</surname> <given-names>J</given-names></name> <name><surname>Puiu</surname> <given-names>D</given-names></name> <name><surname>Xu</surname> <given-names>A</given-names></name> <name><surname>Cooper</surname> <given-names>CS</given-names></name><etal/></person-group> <article-title>Major data analysis errors invalidate cancer microbiome findings.</article-title> <source><italic>mBio.</italic></source> (<year>2023</year>) <volume>14</volume>:<fpage>e0160723</fpage>. <pub-id pub-id-type="doi">10.1128/mbio.01607-23</pub-id> <pub-id pub-id-type="pmid">37811944</pub-id></mixed-citation></ref>
<ref id="B172">
<label>172.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karar</surname> <given-names>ME</given-names></name> <name><surname>El-Fishawy</surname> <given-names>N</given-names></name> <name><surname>Radad</surname> <given-names>M</given-names></name></person-group>. <article-title>Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks.</article-title> <source><italic>J Biol Eng</italic>.</source> (<year>2023</year>) <volume>17</volume>:<fpage>28</fpage>. <pub-id pub-id-type="doi">10.1186/s13036-023-00340-0</pub-id> <pub-id pub-id-type="pmid">37069681</pub-id></mixed-citation></ref>
</ref-list>
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<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1238832/overview">Stefano Cacciatore</ext-link>, International Centre for Genetic Engineering and Biotechnology (ICGEB), South Africa</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1274942/overview">Ekene Emmanuel Nweke</ext-link>, University of the Witwatersrand, South Africa</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2426680/overview">Nnenna Elebo</ext-link>, University of the Witwatersrand, South Africa</p></fn>
</fn-group>
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