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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1625818</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A landscape review with novel criteria to evaluate microbial drivers for cancer: priorities for innovative research targeting excessive cancer mortality in sub-Saharan Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>van Dorsten</surname>
<given-names>Rebecca Toumi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1235806/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Breiman</surname>
<given-names>Robert F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3154167/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Infectious Diseases and Oncology Research Institute, Faculty of Health Sciences, University of the Witwatersrand</institution>, <addr-line>Johannesburg</addr-line>,&#xa0;<country>South Africa</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>South African Medical Research Council Wits Antiviral Gene Therapy Research Unit, Faculty of Health Sciences, University of the Witwatersrand</institution>, <addr-line>Johannnesburg</addr-line>,&#xa0;<country>South Africa</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand</institution>, <addr-line>Johannnesburg</addr-line>,&#xa0;<country>South Africa</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Global Health, Rollins School of Public Health, Emory University</institution>, <addr-line>Atlanta, GA</addr-line>,&#xa0;<country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Biagio Barone, ASL Napoli 1 Centro, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Racheal Shamiso Mandishora, Moffitt Cancer Center, United States</p>
<p>Yun Feng, Shanghai Jiao Tong University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rebecca Toumi van Dorsten, <email xlink:href="mailto:rebeccavd@nicd.ac.za">rebeccavd@nicd.ac.za</email>; Robert F. Breiman, <email xlink:href="mailto:robert.breiman@wits.ac.za">robert.breiman@wits.ac.za</email>
</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Rebecca Toumi van Dorsten, <uri xlink:href="https://orcid.org/0000-0002-1808-1588">orcid.org/0000-0002-1808-1588</uri>; Robert F. Breiman, <uri xlink:href="https://orcid.org/0000-0002-7099-2936">orcid.org/0000-0002-7099-2936</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1625818</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 van Dorsten and Breiman.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>van Dorsten and Breiman</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>The escalating cancer burden in Sub-Saharan Africa (SSA), with projected doubling of incidence and mortality by 2040, necessitates innovative, cost-effective strategies for prevention, diagnosis, and treatment. While known infectious triggers like HPV, hepatitis viruses, and <italic>H. pylori</italic> account for an estimated 28.7% of cancers in SSA, the full scope of microbially-mediated oncogenesis remains underexplored. We examine existing data and formulate plausible hypotheses regarding the potential roles of additional infectious agents in cancer development within SSA. We explore mechanisms through which microbes may directly or indirectly contribute to oncogenesis, including the action of viral oncogenes, induction of chronic inflammation, mutational signatures, and the impact of immunosuppression, particularly in the context of HIV. Potential microbial triggers warrant further investigation, such as viruses (MMTV, CMV, polyomaviruses, SARS-CoV-2), bacteria (<italic>Fusobacterium nucleatum, Cutibacterium acnes, Salmonella Typhi</italic>), fungi (<italic>Candida, Aspergillus</italic>), parasites (<italic>Schistosoma japonicu</italic>m and <italic>mansoni</italic> and <italic>Toxoplasma gondii</italic>) and the complex interplay with the microbiome. Given the significant challenges in establishing causation for microbial facilitators of cancer, with traditional postulates showing limited utility, we propose a refined set of criteria tailored to microbial oncogenesis, aiming to guide future research efforts. These criteria incorporate elements of both Koch&#x2019;s postulates and the Bradford Hill framework, adapted to address the unique characteristics of microbial interactions with human hosts. By leveraging existing knowledge and plausible causal relationships, and by implementing advanced experimental tools such as next-generation sequencing and multi-omics analyses, coupled with machine learning approaches and collaborative, multidisciplinary research, we propose to accelerate the identification of novel microbial links to cancer. This knowledge may pave the way for targeted interventions such as new approaches for screening and diagnosis, and strategies for prevention including vaccine development or modification of existing vaccines (or recommendations for immunization timing and population targets). While acknowledging the inherent complexities of studying polymicrobial interactions and the challenges of translating <italic>in vitro</italic> findings to human populations, this work aims to provide a framework for future research and intervention strategies to reduce the escalating cancer burden and address global inequities in SSA. The ultimate goal is to inform evidence-based public health policies and clinical practices that will improve cancer outcomes in this vulnerable region.</p>
</abstract>
<kwd-group>
<kwd>infectious disease</kwd>
<kwd>criteria for microbial oncogenesis</kwd>
<kwd>cancer causation</kwd>
<kwd>sub-Saharan Africa (SSA)</kwd>
<kwd>oncovirus and cancer</kwd>
<kwd>infectious disease and cancer</kwd>
<kwd>microbiome and cancer</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="288"/>
<page-count count="20"/>
<word-count count="8955"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Virus and Host</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cancer incidence and mortality in Sub Saharan Africa are predicted to double by 2040 (<xref ref-type="bibr" rid="B219">Sharma et&#xa0;al., 2022</xref>). In 2020, annual cancer incidence in Sub Saharan Africa (SSA) was estimated at 132 per 100,000 population (age standardized incidence rates) with a mortality rate of 88.9 per 100,000 (<xref ref-type="bibr" rid="B219">Sharma et&#xa0;al., 2022</xref>). This equates to 1.1 million new cases and 711,000 deaths from cancer in 2020. The significant prevalence of HIV infection also leads to a higher cancer burden in many parts of SSA with both increased incidence and mortality observed (<xref ref-type="bibr" rid="B35">Casper et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B267">Yarchoan and Uldrick, 2018</xref>). The rising burden of cancer is coupled with suboptimal access to health care; diagnosis often comes too late for effective treatment or after death (<xref ref-type="bibr" rid="B7">Akuoko et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B73">Espina et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B177">Mwamba et&#xa0;al., 2023</xref>). When cancers are diagnosed early, potentially life-saving therapeutics are frequently not available and access to care, especially in rural and other impoverished, remote areas, is limited with trained oncologists in very short supply (<xref ref-type="bibr" rid="B91">Grover et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B207">Ruff et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B163">Mallum et&#xa0;al., 2024</xref>). Advances in chemotherapy and radiation therapy in high income countries have markedly improved five-year survival for many cancers (<xref ref-type="bibr" rid="B225">Siegel et&#xa0;al., 2021</xref>), but new immunotherapies and chemotherapeutic drugs are extremely costly, making them currently out of reach for the vast majority of people living in SSA. Consequently, disparities in cancer burden are increasing. While efforts are underway to bring immunotherapies and advance precision medicine in Africa (<xref ref-type="bibr" rid="B207">Ruff et&#xa0;al., 2016</xref>), solutions have not yet been identified to reduce costs and provide access to most Africans. This drives a search for discoveries that could be translated to low-cost, highly effective preventive, diagnostic and therapeutic approaches.</p>
<p>One avenue for advancing cancer prevention, diagnosis and screening, and therapy is to study microbial precipitators for cancer. While not a mainstream cancer research focus, there are dramatic examples of how understanding microbial links to cancers can be transformative. For instance, determining that &gt;90% of cervical cancer cases, the top cause of cancer-related mortality among women in Africa, is precipitated by infection with human papillomavirus (HPV), led to the development and use of highly effective HPV vaccines, which are essentially cancer vaccines (<xref ref-type="bibr" rid="B38">Chan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B148">Lei et&#xa0;al., 2020</xref>). It is now possible to prevent cervical cancer in Brazzaville just as effectively as in San Francisco. However, there are still knowledge gaps to fill regarding characteristics and scope of oncogenicity of HPV; for instance, several prevalent oncogenic HPV serotypes (such as 35, 52 and 58) circulating in Africa are not included in the bivalent vaccines currently used for national immunization programs in SSA (<xref ref-type="bibr" rid="B56">Dehlendorff et&#xa0;al., 2021</xref>). HIV and HPV are also intrinsically linked, where infection with one, increases infection rates for the other. Moreover, increased cancer progression rates of HPV in the context of HIV infection are significant (<xref ref-type="bibr" rid="B154">Liu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B165">Marima et&#xa0;al., 2021</xref>). Vaccine formulations with higher valency will be required to optimize prevention of HPV and subsequently cervical cancer. Optimized screening tests, including self-testing, for detecting HPV in vaginal secretions are also advancing the capacity to save lives through early detection and treatment of cervical cancer (<xref ref-type="bibr" rid="B38">Chan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B257">WHO, 2022</xref>). And, importantly, HPV has been shown to cause other cancers, including those that occur in men; yet, currently, the vaccine is routinely given to only girls and not boys, throughout most of Africa.</p>
<p>The effectiveness of prevention of hepatocellular cancer via hepatitis B immunization provides additional evidence for the value of filling knowledge gaps on microbial facilitation of cancers. Vaccines against hepatitis B virus and effective therapeutics against hepatitis C have made attainable the prevention of the vast majority of hepatocellular cancers that are not solely related to chronic alcohol use with attendant cirrhosis (<xref ref-type="bibr" rid="B149">Levrero and Zucman-Rossi, 2016</xref>; <xref ref-type="bibr" rid="B247">Virz&#xec; et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B107">Hwang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B80">Flores et&#xa0;al., 2022</xref>).</p>
<p>It is estimated that 28.7% (range: 18-53%; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) of cancers occurring in sub-Saharan Africa are linked to a known infectious trigger (<xref ref-type="bibr" rid="B200">Plummer et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B57">de Martel et&#xa0;al., 2020</xref>) with the main contributor in this estimate being HPV-related cancers (15% of cancers ranging from 10-38.3%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), including oral and throat, penile, and anal cancers in addition to cervical cancer, and HBV HCV, contributing to hepatocellular carcinoma. In addition, some lymphomas (Epstein-Barr virus) and head and neck cancers (Epstein-Barr virus and HPV), gastric cancers (<italic>Helicobacter pylori</italic>), bladder cancers (<italic>Schistosoma haemotobium</italic>), and Kaposi&#x2019;s sarcoma (Human Herpesvirus 8&#x2014;HHV8, also referred to as Kaposi&#x2019;s Sarcoma Herpesvirus-KSHV), have known infectious mediators; however, interventions have not been developed or are not widely used for these other facilitators for cancer, thus far. Prevalence rates for some of these infectious triggers are extremely high with H pylori prevalence ranging to 50-70% in SSA or HPV prevalence similarly showing reports up to 64% (<xref ref-type="bibr" rid="B170">Mbulawa et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B57">de Martel et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Asempah, 2021</xref>; <xref ref-type="bibr" rid="B72">Emmanuel et&#xa0;al., 2024</xref>). However, for many cancers, there is lack of systematic surveillance in SSA; thus, prevalence is likely substantially underestimated (<xref ref-type="bibr" rid="B186">Omotoso et&#xa0;al., 2023</xref>). The pathogen attributable proportion of cancers will likely become substantially higher than estimated, as new links between microbes and oncogenesis, the focus of this paper, are still being elucidated (<xref ref-type="bibr" rid="B57">de Martel et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B182">Ngwa et&#xa0;al., 2022</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Pathogen attributable fractions of cancer incidence in Africa by country. The map was created with mapchart, using data from the International Agency for Research on Cancer (IARC). Cancers due to HPV, HBV, HCV, and <italic>H. pylori</italic> in 2018 provide the bases for the calculations. Full details for pathogen attributable fraction calculations and data can be found in the following references and within a tool available (and referenced) on the IARC website (<xref ref-type="bibr" rid="B57">de Martel et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B108">IARC, 2020</xref>; <xref ref-type="bibr" rid="B182">Ngwa et&#xa0;al., 2022</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1625818-g001.tif">
<alt-text content-type="machine-generated">Choropleth map of Africa displaying PAF percentages by country. Color ranges indicate PAF values from 7.4% to 52.7%. Darker shades represent higher percentages, while light yellow indicates the lowest. Gray signifies no data.</alt-text>
</graphic>
</fig>
<p>In this review, we focus on plausible hypotheses to suggest pathways for additional microbially mediated cancers. Recognizing the immense potential to modify cancer disease burden through the understanding of the role of microbial factors in triggering cancer and/or facilitating its spread and translating that knowledge to new products and/or strategies, we review available data on cancers for which evidence suggests that there may be infectious mediators. Beyond the scope of this paper (but a worthwhile exercise) is detailing the many gaps in using existing knowledge of infection-cancer relationships to develop tools (or optimally use existing tools) or strategies for prevention of cancers; for instance, the demonstrated relationship between <italic>H. pylori</italic> and gastric cancer (<xref ref-type="bibr" rid="B192">Parsonnet et&#xa0;al., 1991</xref>) has not led to routinely available approaches to prevent that cancer, nor has the known association of Epstein-Barr virus with Burkitt and Hodgkin lymphoma, and nasopharyngeal carcinoma (<xref ref-type="bibr" rid="B194">Pathmanathan et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B28">Brady et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B34">Carbone and Gloghini, 2018</xref>; <xref ref-type="bibr" rid="B234">Su et&#xa0;al., 2023</xref>). Our intent here is to provide a starting point to identify knowledge gaps and define priorities for research on novel infectious mechanisms for oncogenesis.</p>
</sec>
<sec id="s2">
<title>How infections cause cancer</title>
<sec id="s2_1">
<title>Viral oncogenes and proteins</title>
<p>Pathway alterations and expression of viral oncoproteins are observed in multiple viruses that are directly carcinogenic (<xref ref-type="bibr" rid="B32">Burd, 2003</xref>; <xref ref-type="bibr" rid="B269">Young and Murray, 2003</xref>; <xref ref-type="bibr" rid="B149">Levrero and Zucman-Rossi, 2016</xref>; <xref ref-type="bibr" rid="B143">Kuss-Duerkop et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B247">Virz&#xec; et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Afzal et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Burton and Gewurz, 2022</xref>; <xref ref-type="bibr" rid="B166">Marongiu et&#xa0;al., 2022</xref>). While other unidentified processes are likely, understanding known mechanisms may be helpful for discovering previously unrecognized microbial facilitators of oncogenesis. For example, HPV oncogenesis is mediated by viral oncogenes, such as E6 (<xref ref-type="bibr" rid="B189">Oyervides-Mu&#xf1;oz et&#xa0;al., 2018</xref>); E6 recruits intracellular E3 ubiquitin ligase (also named E6AP), which targets p53 for proteasomal degradation (<xref ref-type="bibr" rid="B150">Li et&#xa0;al., 2019</xref>). P53 is a tumor suppressor gene which plays critical roles in pathways to prevent DNA damage, marking cells for apoptosis or delaying cell cycle progression in the presence of DNA damage. HPV infection, therefore, inactivates p53 and leads to unregulated cell division, cell growth, cell survival, and DNA damage promotion. E7, another HPV oncogene, also interacts with the p53 pathway through retinoblastoma tumor suppressor protein (pRb), resulting in unregulated cell cycle progression. These oncogenes/proteins are also known to drive other oncogenic pathways, including telomerase regulation. The cancer cells depend on constitutive expression of these proteins, making them prime targets for therapeutic vaccines and biomarker detection (<xref ref-type="bibr" rid="B32">Burd, 2003</xref>; <xref ref-type="bibr" rid="B86">Ghebre et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B165">Marima et&#xa0;al., 2021</xref>).</p>
<p>Oncogene expression tends to interfere with important cell regulation or immortalization pathways. These can also be mediated by host-microbe interactions through proteins which mimic host proteins and interact with key signal pathways causing the overexpression of oncogenes and suppression of tumor suppressor proteins (<xref ref-type="bibr" rid="B96">Guven-Maiorov et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B240">Tempera and Lieberman, 2021</xref>). For example, EBV produces peptides (BHRF1 and BALF-1) and microRNAs which inhibit Bcl-2 and prevent apoptosis (<xref ref-type="bibr" rid="B269">Young and Murray, 2003</xref>; <xref ref-type="bibr" rid="B28">Brady et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B34">Carbone and Gloghini, 2018</xref>; <xref ref-type="bibr" rid="B33">Burton and Gewurz, 2022</xref>). Similarly, KSHV (HHV8) (for which seroprevalence ranges between 30-90% in SSA) inhibits ORF16 which is required for apoptosis (<xref ref-type="bibr" rid="B251">Wan et&#xa0;al., 2024</xref>). Viral proteins may also act synergistically with existing cancers by inducing the Warburg effect, i.e. where cells switch to glycolysis fermentation to generate energy instead of oxidative phosphorylation, allowing for the usage of alternative metabolites and the switching to anaerobic respiration (<xref ref-type="bibr" rid="B151">Liberti and Locasale, 2016</xref>). For example, HPV, KSHV and Merkel cell polyomavirus (MCPyV) affect glycolysis and induce increased glucose utilization in cancer cells, resulting in stress in healthy surrounding cells. EBV infection can modify lipid and cholesterol metabolism to induce anaerobic metabolism (<xref ref-type="bibr" rid="B33">Burton and Gewurz, 2022</xref>). Further mechanisms are reviewed elsewhere (<xref ref-type="bibr" rid="B240">Tempera and Lieberman, 2021</xref>)</p>
<p>Direct integration of viruses can cause differential expression of key proteins affecting the cell cycle, DNA repair mechanisms, and apoptosis, each important for oncogenesis. For example, HTLV-1 integrates into CD4+ T-cells causing chromosomal instability, mediated by its oncoprotein RNF8 (<xref ref-type="bibr" rid="B282">Zhi et&#xa0;al., 2020</xref>). Integration of HBV can both cause genome instability, and also leads to chronic inflammation due to sustained presence of HBV and its antigens (<xref ref-type="bibr" rid="B24">Borgia et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B117">Jin et&#xa0;al., 2023</xref>). For HPV and MCPyV, integration into epithelial cells (<xref ref-type="bibr" rid="B266">Yang and You, 2022</xref>; <xref ref-type="bibr" rid="B125">Karimzadeh et&#xa0;al., 2023</xref>), allows for cell immortalization of these cells due to the constant presence of the oncogenic driver (<xref ref-type="bibr" rid="B71">Elkhalifa et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s2_2">
<title>Indirect and undefined mechanisms</title>
<p>Pathophysiology of some infectious diseases overlap with oncogenic mechanisms in ways which could promote cancer initiation and growth. Infection with HBV and HCV, for instance, are associated with chronic infection which may lead to chronic inflammation, thereby causing type 2 carcinogenic effects (<xref ref-type="bibr" rid="B24">Borgia et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B262">Yang et&#xa0;al., 2021</xref>). These viruses are synergistically carcinogenic with other factors such as aflatoxins and liver cirrhosis due to alcohol usage (<xref ref-type="bibr" rid="B24">Borgia et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B117">Jin et&#xa0;al., 2023</xref>). The links between HBV and HCV and hepatocellular carcinoma are well established, but chronic HBV and HCV infections also may be associated with other cancers, especially gastric adenocarcinomas. For instance, a metanalysis of ten studies found that patients with HBV infection had a higher risk (hazard risk =1.26;95% CI=1.08-1.47)) for gastric cancer when compared with controls (without HBV infection) (<xref ref-type="bibr" rid="B41">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B262">Yang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B271">Yu et&#xa0;al., 2023b</xref>). Hypothesized mechanisms awaiting confirmation include chronic inflammation resulting in carcinogenesis, direct viral integration into gastric epithelial cells, expression of viral proteins (like HBx which interferes with cell signaling pathways, gene expression and apoptosis) and immune response modulation (<xref ref-type="bibr" rid="B262">Yang et&#xa0;al., 2021</xref>). Likewise, EBV may be associated with a subset of gastric adenocarcinoma; chronic inflammation is one hypothesized mechanism (<xref ref-type="bibr" rid="B209">Salnikov et&#xa0;al., 2024</xref>).</p>
</sec>
<sec id="s2_3">
<title>Immunosuppression</title>
<p>HIV causes cancer both by its integration into oncogenes, and, also through an indirect mechanism of immune suppression, which allows existing cancers to progress or oncoviruses to establish infection. HIV/AIDS progression is accompanied by AIDS-defining cancers, such as Non-Hodgkin lymphoma (NHL), Kaposi sarcoma, and cervical cancer) (<xref ref-type="bibr" rid="B19">Beral et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B167">Mart&#xed;nez-Maza and Breen, 2002</xref>; <xref ref-type="bibr" rid="B58">De Martel et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Bohlius et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B267">Yarchoan and Uldrick, 2018</xref>), with cancer risk in people living with HIV (PLWHIV) significantly elevated, ranging between 25-40%, despite widely accessed antiretroviral therapy (<xref ref-type="bibr" rid="B58">De Martel et&#xa0;al., 2015</xref>). Lung cancer, Hodgkin lymphoma, hepatocellular cancer, and anal cancers are associated with HIV infection despite effective ART treatment, suggesting a possible direct oncogenic effect of HIV beyond immune suppression (<xref ref-type="bibr" rid="B130">Khandwala et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B180">Navarro et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B99">Haas et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B172">McGee-Avila et&#xa0;al., 2024</xref>). For Burkitt lymphoma, HIV may directly drive oncogenesis through its immunomodulation and engagement of C-C motif chemokine receptor 5 (CCR5) (<xref ref-type="bibr" rid="B211">Samson et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B229">Silverberg et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B22">Bohlius et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B168">Martorelli et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B222">Shindiapina et&#xa0;al., 2020</xref>). HIV appears to potentiate the oncogenic effect of some viruses to increase risk for cancer. For example, the attributable fraction of EBV-associated Hodgkin lymphoma in the general population is 20-50%, but in HIV-infected patients, 75%-100% of Hodgkin lymphoma is attributable to EBV, possibly due to aberrant CD4 T-cell responses to EBV infection (<xref ref-type="bibr" rid="B34">Carbone and Gloghini, 2018</xref>; <xref ref-type="bibr" rid="B222">Shindiapina et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B180">Navarro et&#xa0;al., 2021</xref>).</p>
<p>Other types of immunosuppression are similarly linked to cancer progression (<xref ref-type="bibr" rid="B98">Haas, 2019</xref>; <xref ref-type="bibr" rid="B102">Herrera et&#xa0;al., 2019</xref>); for example, advanced age leading to immune senescence and immune suppression drugs are both highly associated with cancer and cancer progression (<xref ref-type="bibr" rid="B98">Haas, 2019</xref>; <xref ref-type="bibr" rid="B83">Fu et&#xa0;al., 2023</xref>). In addition, tumors facilitate their growth and metastasis by actively suppressing the immune system in their direct microenvironment (<xref ref-type="bibr" rid="B10">Arner and Rathmell, 2023</xref>; <xref ref-type="bibr" rid="B241">Tie et&#xa0;al., 2022</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Criteria for causation</title>
<p>Proving that a microbe facilitates cancer is not straightforward and may vary by pathogen. The Bradford Hill criteria for causation provide epidemiologic evidence for a causal relationship between an exposure and cancer (<xref ref-type="bibr" rid="B27">Bradford Hill, 1965</xref>; <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). The criteria were originally developed to examine environmental exposure (like tobacco smoke, dyes, and other chemicals), but they fall short when assessing potential microbial facilitators of cancer, since microbes, as living organisms, interact with humans in dynamic ways that are in contrast with human interactions with static substances (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1B</bold>
</xref>). Likewise, Koch&#x2019;s postulates can be useful for establishing the cause of a novel acute illness due to an infectious disease, but is less relevant for diseases for which there are long delays between exposure and disease expression</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Existing approaches for establishing causation of disease.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">1A. Bradford Hill criteria for causation Designed to assess whether environmental exposures or ingestions are associated with specific diseases</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x2003;1. Effect size (strength of association)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2. Reproducibility (consistency)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3. Specificity (between a factor and effect)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4. Temporality (effect has to occur after the exposure and after an expected delay between cause and effect for cancer)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;5. Dose-response relationship (biological gradient)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6. Plausibility (there should be a plausible mechanism for cause and effect although this might be affected by state of current knowledge)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;7. Coherence between epidemiologic and laboratory findings</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;8. Experimental evidence</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;9. Analogy (between observed association and other associations)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;10. Deletion or reversibility effect (if the exposure is deleted then the effect should be reduced or deleted)</td>
</tr>
</tbody>
</table>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">1B Koch&#x2019;s postulates<break/>Designed to identify microbial causes for acute infectious diseases of unknown cause</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x2003;1. Microbe should be found in abundance in all organisms suffering from the disease but not found in healthy organisms (not accounted for in chronic infection or carriage)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2. Microorganism must be isolated from a diseased organism and grown in pure culture (not relevant for microbes that do not grow in pure culture and not relevant for viruses that utilize host cells for growth)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3. The cultured microorganism should cause disease when introduced into a healthy organism</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4. The microorganism must be re-isolated from the inoculated, diseased experimental host and identified as identical with the original specific causative agent.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Criteria as per Bradford-Hill&#x2019;s and Koch&#x2019;s original criteria (<xref ref-type="bibr" rid="B27">Bradford Hill, 1965</xref>; <xref ref-type="bibr" rid="B76">Fedak et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B187">Opal, 2017</xref>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Given that study of microbial facilitators for cancer is an emerging discipline, the absence of relevant causation criteria impedes research focus and advances. Adapting and building upon Bradford Hill criteria and Koch&#x2019;s postulates, we propose a set of criteria for hypothesis generation, to guide study, and to confirm specific microbial oncogenesis (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Proposed microbial oncogenesis criteria incorporating Koch&#x2019;s postulates and Bradford-Hill criteria.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Criteria</th>
<th valign="top" align="left">Definition/details</th>
<th valign="top" colspan="3" align="left">Tools</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. Epidemiologic Association (**)</td>
<td valign="top" align="left">
<italic>Consistent association of a microbe (or a combination of microbes) with a</italic> sp<italic>ecific cancer type within a population (considering demographics and host factors) of humans (or across all populations), especially when compared to people within the same population(s) without cancer (</italic>
<xref ref-type="bibr" rid="B169">Mason et&#xa0;al., 2021</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="3" align="left">Case-control and Cohort (retrospective and longitudinal) studies<break/>Histopathology, immunochemistry, PCR, Genomics and mass spectrometry<break/>
<italic>Strong association when consistent findings</italic> across different geographical regions and c<italic>onsistent risk</italic> ratios in case-control or cohort studies</td>
</tr>
<tr>
<td valign="top" align="left">2. Histopathologic association (**)</td>
<td valign="top" align="left">
<italic>Consistent detection of the microbe (virus, bacterium, fungus, or parasite) in cancer tissues compared to healthy controls (</italic>
<xref ref-type="bibr" rid="B288">Ziegler et&#xa0;al., 2021</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="3" align="left">
<italic>In Vitro</italic> assays (PCR, FACS, imaging)<break/>Histopathology immunochemistry, PCR, Genomics and mass spectrometry</td>
</tr>
<tr>
<td valign="top" align="left">3. Temporal association (**)</td>
<td valign="top" align="left">
<italic>Evidence that infection precedes onset of cancer (</italic>
<xref ref-type="bibr" rid="B25">Bosch et&#xa0;al., 1995</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B250">Walboomers et&#xa0;al., 1999</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="3" align="left">Longitudinal (long term) studies</td>
</tr>
<tr>
<td valign="top" align="left">4. Experimental evidence of facilitation of oncogenesis (**/***) +</td>
<td valign="top" align="left">
<italic>Induction of cancer/precancerous changes upon introduction of the isolated microbe into appropriate models. Does oncogenic cellular transformation occur when a microbe is introduced into an animal (ideally a primate or other human-representative) model or tissue mode (</italic>
<xref ref-type="bibr" rid="B288">Ziegler et&#xa0;al., 2021</xref>
<italic>).</italic>
</td>
<td valign="top" colspan="3" align="left">3D biosystems (organoids) or animal models</td>
</tr>
<tr>
<td valign="top" align="left">5. Molecular and Multi-omics evidence for interaction (***)</td>
<td valign="top" align="left">&#x2022;Epigenetics (e.g. DNA methylation changes in H. pylori or HPV E6 oncogene resulting in P53 degradation), as well as mutational signatures<break/>&#x2022;Mutation effects (stimulating cellular mutations promoting cancer)<break/>&#x2022;Stimulating immune evasion mechanisms reducing immunosurveillance for emerging cancer cells<break/>
<italic>Integration of microbial DNA into host genome</italic>
</td>
<td valign="top" colspan="3" align="left">
<italic>in vitro</italic> assays, organoids, multi-omics assessments including:</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;<italic>a. Molecular Evidence</italic>
</td>
<td valign="top" colspan="2" align="left">
<italic>For bacteria</italic>: Identification of toxins, effector proteins, or metabolites that alter cellular signaling<break/>
<italic>For viruses:</italic> Characterization of viral oncoproteins or insertional mutagenesis<break/>
<italic>For fungi</italic>: Demonstration of mycotoxins or immune-modulating molecules with carcinogenic potential<break/>
<italic>For parasites</italic>: Identification of chronic inflammatory responses or direct tissue damage mechanisms<break/>Evidence of microbial interference with DNA repair, cell cycle regulation, apoptosis, or immune surveillance (<xref ref-type="bibr" rid="B65">Dyson et&#xa0;al., 1989</xref>; <xref ref-type="bibr" rid="B82">Franco et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B26">Botelho et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B284">Zhu et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2003;<italic>b. Genomic evidence:</italic>
<break/>
<italic>&#x2003;&#x2003;c. Transcriptomic evidence</italic>
<break/>
<italic>&#x2003;&#x2003;d. Proteomic evidence</italic>
<break/>
<italic>&#x2003;&#x2003;e. Metabolomic evidence</italic>
<break/>
<italic>&#x2003;&#x2003;f. Microbiome analyses</italic>
</td>
<td valign="top" colspan="2" align="left">&#x2022; Microbial DNA sequences or integration sites in tumor genome;<break/>&#x2022; Host genetic susceptibility factors that enhance oncogenic potential of specific microbes, including demonstration of how microbial exposure can alter (or promote) known host genetic risk factors for cancer.<break/>&#x2022; Demonstratable facilitation of cancer-associated mutational signatures (<xref ref-type="bibr" rid="B196">P&#xe9;neau et&#xa0;al., 2022</xref>)<break/>Expression of microbial genes or altered host gene expression profiles (<xref ref-type="bibr" rid="B67">Ego et&#xa0;al., 2005</xref>)<break/>Detection of microbial proteins or altered host protein responses (<xref ref-type="bibr" rid="B65">Dyson et&#xa0;al., 1989</xref>; <xref ref-type="bibr" rid="B36">Celegato et&#xa0;al., 2022</xref>)<break/>Microbial metabolites or altered host metabolic pathways (<xref ref-type="bibr" rid="B198">P&#xe9;rez Escriva et&#xa0;al., 2025</xref>)<break/>Consistent dysbiosis patterns associated with specific cancers (<xref ref-type="bibr" rid="B95">Guo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B201">Pourali et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">6. Prevention (***)</td>
<td valign="top" align="left">
<italic>Does preventing the infection (or removing exposure to the microbe) reduce cancer or evidence of oncogenesis (</italic>
<xref ref-type="bibr" rid="B84">Fukase et&#xa0;al., 2008</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B268">Yoon et&#xa0;al., 2014</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="2" align="left">Clinical trials<break/>Relevant animal models</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left">
<italic>For viruses:</italic> Reduced cancer incidence following vaccination (e.g., HPV, HBV)<break/>
<italic>For bacteria:</italic> Cancer prevention through antibiotic treatment or bacterial elimination<break/>
<italic>For fungi:</italic> Antifungal intervention effects on precancerous lesions<break/>
<italic>For parasites:</italic> Impact of antiparasitic treatment on cancer development<break/>
<italic>Prevention trials showing reduced cancer incidence after targeting the microbe</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">7. Dose Response relationship (**)</td>
<td valign="top" align="left">
<italic>Relationship of severity or chronicity of the presumed offending infection with cancer initiation and severity in human longitudinal studies or in experimental models demonstrate the association of infectious dose with development of cancer (</italic>
<xref ref-type="bibr" rid="B43">Chen et&#xa0;al., 2006</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B261">Yang et&#xa0;al., 2016</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="2" align="left">Organoids, animal models, or clinico-epidemiologic longitudinal studies</td>
</tr>
<tr>
<td valign="top" align="left">8. Plausibility (*)</td>
<td valign="top" align="left">
<italic>Are there plausible mechanisms for considering a potential role for a microbe</italic>
</td>
<td valign="top" colspan="2" align="left">Knowledge-based; i.e. understanding the physiology of microbial interaction with humans may suggest or support a role in carcinogenesis</td>
</tr>
<tr>
<td valign="top" align="left">9. Impact of co-Factors (*)</td>
<td valign="top" align="left">
<italic>Microbial carcinogenesis occurs (or is accelerated) in an environment with promotive host factors, such as genetic risk, immunodeficiencies, nutritional status, and/or with environmental factors (including but not limited to known carcinogens) (</italic>
<xref ref-type="bibr" rid="B132">Kim et&#xa0;al., 2012</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B85">Gargiulo Isacco et&#xa0;al., 2023</xref>
<italic>)</italic>
</td>
<td valign="top" colspan="2" align="left">Epidemiologic and laboratory studies in humans and animal models</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Importance or strength the evidence provides is given in stars, with:</p>
</fn>
<fn>
<p>***Gold standard evidence. If one of these criteria is met, it highly suggests that the microbial agent is causative,</p>
</fn>
<fn>
<p>**Highly suggestive or supportive information for association</p>
</fn>
<fn>
<p>*Further investigation required.</p>
</fn>
<fn>
<p>+For criterion 4, primate models or non-human primate models are rated *** while mouse models, or <italic>in vitro</italic> models are rated **. Organoid models are an evolving field and need further assessment as to their confirmatory strength.</p>
</fn>
<fn>
<p>Context applies in all these criteria as new discoveries are being made, and new technologies are developed. This table is unable to provide all the nuances that may apply. For example, criteria such as epidemiological data are associated with a level of significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4">
<title>Potential microbial triggers for cancer needing further investigation</title>
<p>A variety of microbes are hypothesized to trigger oncogenesis with a number of criteria for causation met (including the plausibility criterion) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), but each needs further investigation. We recognize that our list of hypothesized and potential microbial facilitators is likely incomplete&#x2014;our intent is to describe those microbial cancer pairs for which research has provided some compelling clues. A few examples are provided below.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Known and hypothesized links between infectious disease and cancer based on the proposed causation criteria.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Pathogen</th>
<th valign="top" align="left">Cancer associations</th>
<th valign="top" align="left">Level of&#xa0;evidence</th>
<th valign="top" align="left">Criteria met</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="center">Virus</th>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Epstein-Barr virus</td>
<td valign="top" align="left">Lymphomas, nasopharyngeal, head and neck cancer</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B269">Young and Murray, 2003</xref>; <xref ref-type="bibr" rid="B28">Brady et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B34">Carbone and Gloghini, 2018</xref>; <xref ref-type="bibr" rid="B33">Burton and Gewurz, 2022</xref>; <xref ref-type="bibr" rid="B234">Su et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Stomach cancer</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">1, 2, 3, 5, (7, 8)<break/>may be dependent on cofactors</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B269">Young and Murray, 2003</xref>; <xref ref-type="bibr" rid="B238">Tavakoli et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B116">Jeong et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B209">Salnikov et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Breast cancer, squamous cell carcinomas (oral, conjunctiva)</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B184">N&#xfa;&#xf1;ez-Acurio et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B238">Tavakoli et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B116">Jeong et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B120">Julius et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B101">Heawchaiyaphum et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B209">Salnikov et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B Virus</td>
<td valign="top" align="left">Hepatocellular carcinoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 6, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B149">Levrero and Zucman-Rossi, 2016</xref>; <xref ref-type="bibr" rid="B275">Zeisel et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B80">Flores et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B196">P&#xe9;neau et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B52">Cui et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Hepatitis C Virus</td>
<td valign="top" align="left">Hepatocellular carcinoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, (5), 6, 7, 9<break/>mechanism partially understood</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B179">Nash et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B107">Hwang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B139">Koike and Tsutsumi, 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Non-Hodgkin lymphoma</td>
<td valign="top" align="left">Strong</td>
<td valign="top" align="left">1, (2, 3, 4, 5), 6, (7), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B237">Tasleem and Sood, 2015</xref>; <xref ref-type="bibr" rid="B8">Alkrekshi et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HHV8</td>
<td valign="top" align="left">Kaposi sarcoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B6">Akula et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B61">Dollard et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B62">Dow et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B181">Newton et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B251">Wan et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HIV**</td>
<td valign="top" align="left">Cofactor (Kaposi sarcoma, <break/>cervical cancer)</td>
<td valign="top" align="left">Confirmed (as a co-factor)</td>
<td valign="top" align="left">1, 3, 6, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B154">Liu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B158">Looker et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B267">Yarchoan and Uldrick, 2018</xref>; <xref ref-type="bibr" rid="B13">Atallah-Yunes et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Non-AIDS defining (NHL, Hodgkin, liver, lung, anal, head and neck)</td>
<td valign="top" align="left">Medium (as a co-factor)</td>
<td valign="top" align="left">1, likely indirect</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B30">Brune et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B226">Sigel et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B267">Yarchoan and Uldrick, 2018</xref>; <xref ref-type="bibr" rid="B130">Khandwala et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B180">Navarro et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B99">Haas et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B172">McGee-Avila et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HPV</td>
<td valign="top" align="left">Cervical, head and neck, oral, throat, cervical, penile, anal</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 6, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B258">Williams et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B199">Picard et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B104">Hoppe-Seyler et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B189">Oyervides-Mu&#xf1;oz et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B109">ICO/IARC Information Centre on HPV and Cancer, 2023</xref>; <xref ref-type="bibr" rid="B115">Jensen et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Prostate, esophageal, <break/>colorectal and breast cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2, 3), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B160">Ludmir et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B105">Hsu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B142">Kudela et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B245">Tsydenova et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Merkel cell polyoma virus</td>
<td valign="top" align="left">Merkel cell carcinoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 4, 5, 9,</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B11">Arora et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B266">Yang and You, 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">HTLV-1</td>
<td valign="top" align="left">Leukemia, Lymphomas<break/>Acute T-cell Lymphoma</td>
<td valign="top" align="left">Strong</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 8<break/>ATL is rare in endemic areas, despite high HTLV-1 prevalence. Potentially cofactor dependent</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B16">Bangham, 2023</xref>; <xref ref-type="bibr" rid="B282">Zhi et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Polyoma viruses</td>
<td valign="top" align="left">Colon cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B224">Shoraka et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B281">Zheng et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Cytomegalovirus</td>
<td valign="top" align="left">Glioblastoma</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">(1, 2) (4, 5) (8, 9)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B214">Scheurer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B263">Yang et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B97">Guyon et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B173">Mercado et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Mouse Mammary Tumor Virus/<break/>Human Mammary Tumor Virus</td>
<td valign="top" align="left">Breast cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(2), (8)<break/>4 (in mouse models only; not HMTV)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B146">Lawson and Glenn, 2022</xref>; <xref ref-type="bibr" rid="B191">Parisi et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SV40</td>
<td valign="top" align="left">Mesothelioma, glioblastoma</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), (8, 9)<break/>4 (mice)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B205">Rotondo et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Human Herpes Virus 6</td>
<td valign="top" align="left">Lymphomas/ <break/>glioblastoma</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8/<break/>1, (2, 3), 8 &#xb1;</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B131">Kiani et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B92">Gu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B256">Wells et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B44">Chen et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SARS-CoV2</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B113">Jahankhani et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="center">Bacteria</th>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<italic>Helicobactor pylori</italic>
</td>
<td valign="top" align="left">Gastric</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, 2, 3, 4, 5, 6, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B192">Parsonnet et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B82">Franco et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B210">Salvatori et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lung/<break/>Esophageal</td>
<td valign="top" align="left">Under investigation</td>
<td valign="top" align="left">(1)/<break/>1, 6,</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B112">Islami and Kamangar, 2008</xref>; <xref ref-type="bibr" rid="B175">Mounika, 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fusobacterium nucleatum</italic>
</td>
<td valign="top" align="left">Colorectal</td>
<td valign="top" align="left">Strong</td>
<td valign="top" align="left">1, 2, 4, 5, 8, (9)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B140">Kostic et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B188">Ou et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B252">Wang and Fang, 2022</xref>; <xref ref-type="bibr" rid="B276">Zepeda-Rivera et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Streptococcus gallolyticus (S. bovis)</italic>
</td>
<td valign="top" align="left">Colon cancer</td>
<td valign="top" align="left">Strong</td>
<td valign="top" align="left">1, 2, 4, 5, 8, (9)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B3">Abdulamir et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B141">Kreikemeyer et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B70">Eldegla et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B208">&#x15e;ahin et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B239">Taylor et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Salmonella</italic> T<italic>yphi</italic>
</td>
<td valign="top" align="left">Gall bladder</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">1, (4, 5), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B178">Nagaraja and Eslick, 2014</xref>; <xref ref-type="bibr" rid="B217">Sepe et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B246">Upadhayay et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Chlamydia trachomatis</italic>
</td>
<td valign="top" align="left">Cervical cancer</td>
<td valign="top" align="left">Medium (co-factor)</td>
<td valign="top" align="left">1, (2), (4, 5), 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B285">Zhu et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B37">Challagundla et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B85">Gargiulo Isacco et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Escherichia coli</italic>
</td>
<td valign="top" align="left">Colorectal cancer, UTI leading to bladder cancer,</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">1, 4, (5), (8, 9)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B1">Abd-El-Raouf et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B152">Lichtenstern and Lamichhane-Khadka, 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Peptostreptococcus anaerobius</italic>
</td>
<td valign="top" align="left">Breast cancer, colorectal</td>
<td valign="top" align="left">Medium (new)</td>
<td valign="top" align="left">(1, 2), (4) &#xb1;</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B244">Tsoi et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B157">Long et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B93">Gu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B106">Hurst et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B155">Liu et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Microbiome (dysbiosis)</italic>
</td>
<td valign="top" align="left">Colorectal, breast, pancreatic, cervical, blood cancers</td>
<td valign="top" align="left">Co-factor, therapy modulating</td>
<td valign="top" align="left">1, 2, (4)<break/>many confounders</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B81">Francescone et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B137">Koay et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B122">Kadosh et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Ciernikova et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B95">Guo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B5">Akbar et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B231">Sohail and Burns, 2023</xref>; <xref ref-type="bibr" rid="B201">Pourali et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Cutibacterium acnes</italic>
</td>
<td valign="top" align="left">Prostate</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B55">Davidsson et&#xa0;al., 2016</xref>, <xref ref-type="bibr" rid="B54">Davidsson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B213">Sayanjali et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B278">Zhang et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Bacteroides fragilis</italic>
</td>
<td valign="top" align="left">Colorectal</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 4, 5, (8)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B45">Cheng et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B216">Scott et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B53">Dadgar-Zankbar et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Mycoplasma</italic>
</td>
<td valign="top" align="left">Lung, breast, ovarian</td>
<td valign="top" align="left">Hypothesized, co-factor</td>
<td valign="top" align="left">(1, 2, 5, 8)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B236">Tantengco et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B260">Yacoub et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B190">Pang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B18">Benedetti et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="center">Parasites</th>
</tr>
<tr>
<td valign="top" align="left">
<italic>Schistosoma haematobium</italic>
</td>
<td valign="top" align="left">Bladder cancer</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, (2), 3, (4, 5), 6, 7, 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B26">Botelho et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B273">Zaghloul et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Clonorchis sinensis</italic>
</td>
<td valign="top" align="left">Cholangiocarcinoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, (2), 3, 4, 5, 6, 7, 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B221">Shin et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B259">Wonid et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Chang et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B203">Ren et&#xa0;al., 2025</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Opisthorchis viverrin</italic>
</td>
<td valign="top" align="left">Cholangiocarcinoma</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, (2), 3, 4, 5, 6, 7, 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B233">Sripa et&#xa0;al., 2007</xref>, <xref ref-type="bibr" rid="B232">Sripa et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B197">Perakanya et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Schistosoma mansoni</italic>
</td>
<td valign="top" align="left">Hepatocellular</td>
<td valign="top" align="left">Medium (co-factor)</td>
<td valign="top" align="left">(1, 2, 3, 4, 5, 6), 7, 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B242">Toda et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B204">Roderfeld et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B249">von B&#xfc;low et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Schistosoma japonicum</italic>
</td>
<td valign="top" align="left">Hepatocellular</td>
<td valign="top" align="left">Medium (co-factor)</td>
<td valign="top" align="left">(1, 2, 3, 4, 5, 6), 7, 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B156">Liu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B127">Kato et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B220">Sheng et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Entamoeba histolytica</italic>
</td>
<td valign="top" align="left">Colorectal cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B9">Ankri, 2015</xref>; <xref ref-type="bibr" rid="B87">Goel et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B100">Haghighi et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Trichomonas vaginalis</italic>
</td>
<td valign="top" align="left">Cervical, prostate</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B277">Zhang et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Toxoplasma gondii</italic>
</td>
<td valign="top" align="left">Glioblastoma</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1), (5), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B283">Zhou et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B103">Hodge et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Abdollahi et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B121">Jung et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Fasciola hepatica</td>
<td valign="top" align="left">Liver cirrhosis/cholangiocarcinoma</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B162">Machicado et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B235">Tanabe et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Helminths</td>
<td valign="top" align="left">(chronic inflammation), leukemia, liver cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B185">Oikonomopoulou et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B193">Pastille et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B212">Sava et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Berriel et&#xa0;al., 2021</xref>)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="center">Fungi</th>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">
<italic>Aspergillus flavus, Aspergillus parasiticus</italic> (aflatoxin)</td>
<td valign="top" align="left">Liver</td>
<td valign="top" align="left">Confirmed</td>
<td valign="top" align="left">1, (2), 3, 4, 5, 6, 7, 8, 9</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B284">Zhu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B117">Jin et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B128">Khan et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1), (5), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B51">Cui et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B124">Kang et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Candida albicans</italic>
</td>
<td valign="top" align="left">Oral, esophageal, <break/>anogenital cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">(1, 2), 8</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B59">Di Cosola et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B253">Wang et&#xa0;al., 2023a</xref>, <xref ref-type="bibr" rid="B254">Wang et&#xa0;al., 2023b</xref>; <xref ref-type="bibr" rid="B161">Malavika et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B94">Guo et&#xa0;al., 2025</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Fusarium species (mycotoxin)</td>
<td valign="top" align="left">Esophageal, renal, liver, testicular, lung cancer</td>
<td valign="top" align="left">Hypothesized</td>
<td valign="top" align="left">1 for esophageal,</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B63">Dragan et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B69">Ekwomadu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B128">Khan et&#xa0;al., 2024</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Criteria in parenthesis (-) are inconsistent across studies or show contradicting evidence.</p>
</fn>
<fn>
<p>&#xb1; relatively new findings, or new link between pathogen and cancer</p>
</fn>
<fn>
<p>**HIV is often synergistic and required; however, many of these cancers have separate primary pathogenic causes (such as cervical cancer and HPV). Under non-AIDS defining cancers, we mention those, which may be dependent on HIV associated inflammatory processes, and not necessarily immune suppression. Exposure to similar risk factors (as with HBV infection and Hepatocellular cancer) may contribute to the increases a confounder in epidemiological risk; therefore we have classified HIV as a co-factor. confirmed even though it is not implicated directly in these</p>
</fn>
<fn>
<p>Scientific judgment is required to evaluate the strength of the evidence for each criterion, which cannot be captured in categorizing these cancers. However, we propose to use these criteria to determine which infectious disease may be investigated further and is likely to show an associative or causal link. We have classified as follows.</p>
</fn>
<fn>
<p>Confirmed= Meets most criteria including one (***) and shows reproducibility across labs, and trials. The confirmed diseases described fit all but 1 or 2 criteria. These also meet consistent reproducibility: i.e. confirmation across independent laboratories, optimally using varied methodologies or models, replication in diverse human populations and geographic settings, concordance between <italic>in vitro</italic>, animal, and human studies.</p>
</fn>
<fn>
<p>Strong evidence = meets &gt;4 criteria among proposed microbial oncogenesis criteria (including one ***).</p>
</fn>
<fn>
<p>Medium evidence = 2 or 3 criteria met with other criteria not evaluated or not evaluated optimally, inconsistent results or not conclusive results. For example, CMV, as a trigger for glioblastoma, has inconsistent results for criteria 1,2, and for criteria 4,5,8,9, the experimental evidence is not conclusive.</p>
</fn>
<fn>
<p>Hypothesized = meets plausibility criterion or one other criterion with either conflicting or suboptimal data within other criteria.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1">
<title>A virus originally found in mice</title>
<p>A retrovirus known as mouse mammary tumor virus (MMTV) has been shown to cause mammary tumors in rodents; multiple studies have shown that human mammary tumor virus (HMTV), which is 90-95% homologous to MMTV is present more often in human breast cancer tissue when compared with healthy breast tissue (<xref ref-type="bibr" rid="B146">Lawson and Glenn, 2022</xref>; <xref ref-type="bibr" rid="B191">Parisi et&#xa0;al., 2022</xref>). Using our proposed criteria for causation, HMTV/MMTV meets criterion 4 (with oncogenesis demonstrated in an animal model), and partially meets criterion 2 (Consistent detection of the microbe - virus, bacterium, fungus, or parasite- in cancer tissues compared to healthy controls) with consistent findings in some laboratories, but not across all geographies. When detected, it is not clear whether the virus is part of the causation pathway or whether breast cancer tissue is simply conducive to colonization with the virus (<xref ref-type="bibr" rid="B146">Lawson and Glenn, 2022</xref>). Infections with viruses like MMTV may induce signaling alterations which causes negative effects only under certain conditions. Microbiome characteristics might determine such a conducive environment. Recent studies have correlated gut microbiome features with breast cancer stages and progression, although a causative link has also not been established (<xref ref-type="bibr" rid="B147">Lee et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B231">Sohail and Burns, 2023</xref>; <xref ref-type="bibr" rid="B248">Viswanathan et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s4_2">
<title>Cytomegalovirus</title>
<p>CMV is highly prevalent in SSA with a pooled prevalence of 81.9% (55&#x2013;97%) (<xref ref-type="bibr" rid="B17">Bates and Brantsaeter, 2016</xref>). The potential oncogenicity of CMV has long been a focus for study. CMV proteins and nucleic acids have been found (meeting Criteria 5d and 5e [<xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>] in some, but not all, studies) within glioblastoma multiforme tumors suggesting that the virus may play a role in facilitating oncogenic transformation or progression of glioblastomas (<xref ref-type="bibr" rid="B214">Scheurer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B263">Yang et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B173">Mercado et&#xa0;al., 2024</xref>). Human astrocytes infected with CMV have formed glioblastoma-like cancers in mice models (<xref ref-type="bibr" rid="B97">Guyon et&#xa0;al., 2024</xref>) (Criterion 2) and infection with CMV leads to poorer prognosis for glioblastoma (Criterion 6); targeting CMV infected cells has shown potential for glioblastoma therapeutics (<xref ref-type="bibr" rid="B263">Yang et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B173">Mercado et&#xa0;al., 2024</xref>). While the association has not been conclusively confirmed, potential mechanisms include chronic inflammation, immune evasion or modulation, and viral gene expression. A variety of characteristics of CMV infection might contribute to cellular transformation to cancer: induction of expression of pro-angiogenic factors, interaction with oncogenic signaling pathways, such as the phosphatidylinositol 3-kinase (PI3K)/Akt pathway, which is often dysregulated in cancers, and epigenetic changes like DNA methylation and histone changes, which can contribute to tumorigenesis (<xref ref-type="bibr" rid="B39">Chan et&#xa0;al., 2010</xref>). Among the cancers contributing to substantial burden in Africa, some studies have suggested that CMV may have a role in breast, prostate and colorectal cancers, among others, presumably with similar mechanisms that have been hypothesized for a putative role with glioblastomas (<xref ref-type="bibr" rid="B270">Yu et&#xa0;al., 2023a</xref>).</p>
</sec>
<sec id="s4_3">
<title>Polyomavirus</title>
<p>Polyomaviruses have been linked to colon cancers, with JCPyV and BK polyoma viruses showing the strongest causal links (<xref ref-type="bibr" rid="B89">Gorish et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B224">Shoraka et&#xa0;al., 2020</xref>). Although the majority of humans are latent carriers for these viruses and no comprehensive SSA data was found, immunosuppression either through disease or natural immune senescence can lead to reactivation. Higher levels of JCPyV and BK are found in colon cancer tissues (Criterion 2), as well as in solid B cell leukemia, when compared with non-cancerous tissue, and have been identified in many other cancers (<xref ref-type="bibr" rid="B89">Gorish et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B159">Loutfy et&#xa0;al., 2017</xref>). Injection of T antigen derived from JCPyV in mice was shown to cause a variety of cancers including neural and breast and hepatocellular cancers (Criterion 4) (<xref ref-type="bibr" rid="B281">Zheng et&#xa0;al., 2022</xref>). Similarly, Merkel Cell polyoma virus shows high prevalence in skin cancer tissues (<xref ref-type="bibr" rid="B136">Klufah et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s4_4">
<title>Fusobacterium nucleatum</title>
<p>A variety of studies have suggested that the oral anaerobic bacterium <italic>F. nucleatum</italic> may have a role in initiating oncogenic transformation in colonic and rectal cells (<xref ref-type="bibr" rid="B140">Kostic et&#xa0;al., 2013</xref>). While more study is needed to confirm this potential association, especially within African settings, there is evidence that colorectal cancer cells when colonized with specific subclades of <italic>F. nucleatum</italic>, may increase the potential for local tumor spread and metastasis (<xref ref-type="bibr" rid="B140">Kostic et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B206">Rubinstein et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B31">Bullman et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B188">Ou et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B252">Wang and Fang, 2022</xref>; <xref ref-type="bibr" rid="B276">Zepeda-Rivera et&#xa0;al., 2024</xref>). We further discuss this possibility within the section on microbiomes.</p>
</sec>
<sec id="s4_5">
<title>Cutibacterium acnes</title>
<p>C. acnes (a skin commensal, implicated in superficial skin infections, especially acne vulgaris) has been shown to colonize the prostate, resulting in chronic inflammation, which appears to be a pivotal factor for prostate cancer (<xref ref-type="bibr" rid="B54">Davidsson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B88">Goldstein and Mascitelli, 2024</xref>). Studies have demonstrated the presence of <italic>C. acne</italic> in prostate cancer specimens in much higher proportions than in non-cancerous prostate tissue (Criterion 2) (<xref ref-type="bibr" rid="B123">Kakegawa et&#xa0;al., 2017</xref>). Furthermore, cohort epidemiologic studies have shown that severe acne during adolescence is associated with a higher likelihood of prostate cancer later in life (Criterion 1) (<xref ref-type="bibr" rid="B278">Zhang et&#xa0;al., 2018</xref>). To demonstrate causation, future studies must evaluate and reproducibly confirm other criteria for causation, as well as validate the epidemiologic evidence. Investigations carried out thus far, have yielded inconsistent results (<xref ref-type="bibr" rid="B64">Drott et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B213">Sayanjali et&#xa0;al., 2016</xref>). Furthermore, existing data are from European studies with a lack of data from Africa, where prostate cancer appears to occur at an earlier age and can be more aggressive (<xref ref-type="bibr" rid="B55">Davidsson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B114">Janivara et&#xa0;al., 2024</xref>). That gap needs to be filled to drive further research that could lead to preventive approaches, assuming a triggering role was established.</p>
</sec>
<sec id="s4_6">
<title>Salmonella Typhi</title>
<p>
<italic>S</italic> T<italic>yphi</italic> can colonize the gall bladder following symptomatic typhoid fever or asymptomatic systemic infection, resulting in chronic carriage in 1-4% of patients acutely infected. In SSA there are 1.2 million acute typhoid fever cases annually; however, it is unclear how many of these infections lead to chronic carriage (<xref ref-type="bibr" rid="B133">Kim et&#xa0;al., 2024</xref>). Moreover, there are distinct genotypes in SSA that have a higher propensity for invasive disease and antibiotic resistance &#x2014; both factors could influence potential for chronic infection (<xref ref-type="bibr" rid="B134">Kingsley et&#xa0;al., 2009</xref>). Gall bladder colonization results in chronic inflammation directly and by stimulated the formation of gallstones. A meta-analysis of 17 studies suggested that chronic <italic>S</italic> T<italic>yphi</italic> infection of the gall bladder is associated with gallbladder cancer (Criterion 1) (<xref ref-type="bibr" rid="B178">Nagaraja and Eslick, 2014</xref>; <xref ref-type="bibr" rid="B246">Upadhayay et&#xa0;al., 2022</xref>). <italic>S Typhi</italic> has a high prevalence in sub-Saharan Africa with a substantial proportion of infections being undiagnosed or untreated. This is coupled with the increasing incidence of multidrug resistance S Typhi, and low vaccination levels (<xref ref-type="bibr" rid="B126">Kariuki and Onsare, 2024</xref>; <xref ref-type="bibr" rid="B129">Khan et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s4_7">
<title>SARS-CoV-2</title>
<p>While SARS-CoV-2 has not yet been linked to specific cancers (<xref ref-type="bibr" rid="B113">Jahankhani et&#xa0;al., 2023</xref>), there has not been sufficient follow-up period to observe an effect. However, this virus has distinct infection-associated patterns which may contribute to being an oncogenic virus. For instance, SARS-CoV-2 causes RAAS (renin-angiotensin-aldosterone system) pathway dysregulation, induces degradation of the tumor repressor retinoblastoma protein, via nsp15 and P53 via nsp3, affects cell cycle through among others nsp7, interferes with DNA methylation through NSP8, and generates reactive oxygen species (ROS), all common pathways involved in oncogenesis, making a link to cancer plausible (Criterion 9) (<xref ref-type="bibr" rid="B113">Jahankhani et&#xa0;al., 2023</xref>). Evidence of prolonged, persistence of replicating SARS CoV2 in tissues (<xref ref-type="bibr" rid="B265">Yang et&#xa0;al., 2024</xref>) raises a potential for chronic inflammation which may also increase a risk of cancer formation. Longitudinal cohorts, such as the Rotterdam study, maintained over time may provide insight into the role of infectious triggers including SARS-CoV2 in oncogenesis (<xref ref-type="bibr" rid="B110">Ikram et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B227">Sijtsma et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s4_8">
<title>Considering a role for fungi</title>
<p>Candida has been observed in colorectal cancer tissue samples and is associated with decreased survival and metastatic disease in colon cancer. Similarly, Blastomyces is has been detected in lung cancer tumor tissues (<xref ref-type="bibr" rid="B60">Dohlman et&#xa0;al., 2022</xref>). However, for these and other examples of fungal colonization, association but no direct causal relationships have been established. Fungal colonization has been suggested to drive carcinogenesis through immune recruitment of TH2 cells in pancreatic and esophageal cancer. Pathogenic infections of Candida species correlate with a higher oral cancer incidence (<xref ref-type="bibr" rid="B46">Chung et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B59">Di Cosola et&#xa0;al., 2021</xref>). These associations may partially be a consequence of the lower levels of immunity in these individuals (increasing risk for colonization) or could indicate synergistic relationships that promote both cancer and fungal colonization.</p>
<p>Fungi play a demonstrable role in hepatocellular cancer, however in a more indirect way, where they (Aspergillus flavus and Aspergillus parasiticus mainly) infect food sources such as maize and grains, imparting high levels of hepatotoxic aflatoxins which in turn directly contribute to oncogenesis (<xref ref-type="bibr" rid="B51">Cui et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B117">Jin et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B271">Yu et&#xa0;al., 2023b</xref>). This is of particular importance in some regions of SSA (especially west Africa and parts of east Africa) where food storage conditions combined with high heat and humidity contribute to a high aflatoxin burden in staple foods (<xref ref-type="bibr" rid="B75">Falade et&#xa0;al., 2022</xref>). Other mycotoxins have been studied such as Ochratoxin A, produced by aspergillus or T-2 and Zearalenone, both fusarium toxins; these link to nephropathies and potentially neurological disorders such as Parkinsons and dementia (<xref ref-type="bibr" rid="B128">Khan et&#xa0;al., 2024</xref>). However, these toxins were linked to various cancers (esophageal, kidney, colon, urinary tract, gastrointestinal, uterine, breast) in animal and in <italic>in vitro</italic> models (<xref ref-type="bibr" rid="B48">Claeys et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B68">Ekwomadu et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B69">Ekwomadu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B128">Khan et&#xa0;al., 2024</xref>). For example, fumonisins have been linked to esophageal cancer with recent studies suggesting that it affects PI3K/Akt pathway in human esophageal cells (<xref ref-type="bibr" rid="B272">Yu et&#xa0;al., 2021</xref>). Nonetheless, clear epidemiological evidence for these links has not been established (<xref ref-type="bibr" rid="B48">Claeys et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B69">Ekwomadu et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s4_9">
<title>The microbiome</title>
<p>In healthy individuals the gut microbiota, consisting of bacteria, bacteriophages, viruses, archaea, and fungi, play a role in immune regulation through presentation of short chain fatty amino acids (SCFAs) (<xref ref-type="bibr" rid="B164">Mann et&#xa0;al., 2024</xref>). <italic>Firmicutes</italic> and <italic>Bifidobacteriaceae</italic> species present these SCFA&#x2019;s which are taken up by the intestinal cells and regulate the pro-inflammatory cytokines, TNFa IL12 and IL6. Moreover, the microbiome also trains the immune system and inhibits the growth of pathogenic biota (such as <italic>Enterobacteriaceae</italic>) and the development of pathobionts. Pathobionts are microbes that under normal circumstances do not cause disease; however, in the context of cancer or microbiome dysregulation, they become pathogenic (<xref ref-type="bibr" rid="B119">Jochum and Stecher, 2020</xref>).</p>
<p>One such pathobiont is <italic>F. nucleatum</italic>, an oral commensal anaerobic bacterium, which as mentioned above, may play an important role in facilitating colorectal cancer incidence and metastasis<italic>. F. nucle</italic>atum colonizes colorectal cancer cells through Fap2, a galactose adhesion hemagglutinin. It produces virulence factors such as FadA, which provides a scaffold for colonization with other bacteria, contributing to dysbiosis, potentially inducing oncogenesis in host cells. FadA and other virulence factors (e.g. AvrA in <italic>Salmonella</italic>) bind to the E cadherin receptor, inducing the <italic>Wnt</italic> signaling pathway, one of the major pathways implicated in colorectal cancer oncogenesis and progression (<xref ref-type="bibr" rid="B140">Kostic et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B206">Rubinstein et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B31">Bullman et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B228">Silva-Garc&#xed;a et&#xa0;al., 2019</xref>). It may enhance colorectal cancer proliferation by upregulation of the <italic>wnt</italic> signaling pathways and metastasis by inducing the expression of CXCL1 and IL-8 which promotes migration and upregulating CCL20 (<xref ref-type="bibr" rid="B188">Ou et&#xa0;al., 2022</xref>). <italic>F nucleatum</italic> also induces immune evasion through binding of FapA to immune cells. It is similarly potentially implicated in oral cancers where it enhances proliferation and inhibits cell cycle control mechanisms through p27 (<xref ref-type="bibr" rid="B42">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B252">Wang and Fang, 2022</xref>). Lastly it was shown induce metastases by modulating mitogen-activated protein kinase p38, which is involved in mesenchymal transition (<xref ref-type="bibr" rid="B153">Lin et&#xa0;al., 2016</xref>).</p>
<p>While there has been a paucity of data characterizing microbiomes in SSA, recent studies have revealed unique taxa and diversity in both South African and Tanzanian samples (<xref ref-type="bibr" rid="B183">Nobels et&#xa0;al., 2025</xref>). Click or tap here to enter text. Some investigations have examined the role of the microbiome in cancer development in SSA, linking cervical microbiome characteristics and cervical cancer, as well as suggesting that changes to the gut microbiome after urbanization may correlate with development of colon cancer (<xref ref-type="bibr" rid="B135">Klein et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B49">Come et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B264">Yang et&#xa0;al., 2022b</xref>; <xref ref-type="bibr" rid="B202">Ramaboli et&#xa0;al., 2024</xref>), However, most microbiome research in SSA relies on time-intensive culture-based experiments, compared to the more rapid sequence-based technology applied in higher income settings (<xref ref-type="bibr" rid="B195">Paulo et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B14">Ayeni et&#xa0;al., 2024</xref>). Substantial knowledge gaps remain regarding links between microbiome characteristics and cancers in SSA, opening the door for prioritizing support for pivotal research on the topic</p>
</sec>
</sec>
<sec id="s5">
<title>Complex interplay between the microbiome and cancer</title>
<p>Disturbances in microbiota may alter metabolic pathways and disrupt homeostasis, leaving vulnerabilities to disease (<xref ref-type="bibr" rid="B81">Francescone et&#xa0;al., 2014</xref>). The microbiome&#x2019;s role in cancer development is complex; both protective and pro-cancer effects, which may be dependent on other external factors, have been demonstrated (<xref ref-type="bibr" rid="B122">Kadosh et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B5">Akbar et&#xa0;al., 2022</xref>).</p>
<p>Cancer associated mutations can also have different outcomes depending on the microbiotic background. This has been shown in p53 mutations, which can cause either oncogenesis or tumor repression depending on the microenvironment. The presence of gallic-acid-producing bacteria in the distal gut induced cancer in mice, while its presence in the proximal gut provided protective effects due to <italic>wnt</italic> signaling inhibition (<xref ref-type="bibr" rid="B122">Kadosh et&#xa0;al., 2020</xref>). Similar supporting roles have been found in Kras and p53 mouse models, which in the absence of microbiota in the lung could not cause lung cancer (<xref ref-type="bibr" rid="B118">Jin et&#xa0;al., 2019</xref>).</p>
<p>Similarly, bacteria can acquire additional proteins which change them into pathobionts, such as, E coli, when expressing colibactin. This mutagen is found to trigger mutational signatures related to oral squamous cell carcinoma (<xref ref-type="bibr" rid="B23">Boot et&#xa0;al., 2020</xref>). Similar mutational signatures which are oncogenic have also been found in colorectal cancer and could indicate a common mutagen in these groups of cancers (<xref ref-type="bibr" rid="B23">Boot et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B138">Koh et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B50">Cornish et&#xa0;al., 2023</xref>).</p>
<p>Dysregulation of the microbiome may also impact treatment as outcomes after hematopoietic stem cell transplantation depend strongly on regulation of inflammation and barrier integrity. The microbiome can modulate the effects of radiotherapy where treatment of dysbiosis with vancomycin can enhance radiotherapy efficacy in melanoma and lung cancer mice models (<xref ref-type="bibr" rid="B47">Ciernikova et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B248">Viswanathan et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B280">Zhao et&#xa0;al., 2023</xref>). The latter may be a cause of complacency which is discussed below. The role of the microbiome in cancer was recently reviewed (<xref ref-type="bibr" rid="B183">Nobels et&#xa0;al., 2025</xref>).</p>
<sec id="s5_1">
<title>The microbiome as an inconsequential bystander</title>
<p>While some bacteria may play a causative role in cancer, contributing to immune evasion and cancer progression, dysregulation is often a consequence of opportunistic infections, indicating inconsequential presence of bacteria within the microbiome, rather than causation. There is a host of studies where non-commensal or dysbiotic bacteria such as <italic>Salmonella</italic> or <italic>Helicobacter</italic> bacteria are found in tumor tissue (<xref ref-type="bibr" rid="B279">Zhao et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B286">Zhu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B215">Schorr et&#xa0;al., 2023</xref>). An analysis determined that for most solid tumors, 10<sup>5</sup> to 10<sup>6</sup> bacteria are present per palpable 1-cm<sup>3</sup> tumor, which represents 34 bacterial cells per 5000 cancer cells. The levels of these bacteria are therefore generally low, which complicates analyses. Even when presence is established, presence is not sufficient to indicate causative or synergistic relationships. Indeed, studying the interaction between microbiota and cancer needs careful consideration as demonstrated by a recent re-analysis of links between pancreatic cancer and the microbiome, initially suggesting, then refuting an oncogenic role for microbiota (<xref ref-type="bibr" rid="B95">Guo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B79">Fletcher et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B66">Eckhoff et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B201">Pourali et&#xa0;al., 2024</xref>). The authors argue that the low-biomass of human tissue specimens increases the risk for errors, including distinguishing between low-biomass microbial communities and contamination introduced during sample collection, and errors made during processing, and sequencing. Therefore, PCR confirmed presence and characterizations of the microbiome, cannot not indicate that these organisms were viable in this tissue, nor can determine whether they were causative or bystanders. To form a better understanding of this complex interplay, standardized methods are needed for generating and analyzing microbiome sequencing data to enhance the reproducibility of results across different studies (<xref ref-type="bibr" rid="B15">Aykut et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B79">Fletcher et&#xa0;al., 2023</xref>).</p>
<p>HIV has also been associated with significant changes in the microbiome. Upon infection, there is rapid spread throughout the lymph system of the gut through mechanisms of cell-to-cell transmission. HIV uses virological synapses to spread throughout the entire CD4 T cell network causing massive cell death and local immune dysregulation. These also result in permanent disruptions in the epithelium of the gut. Even when anti-retroviral therapy (ART) is given early during the course of HIV infection, the gut based immune system is not fully restored and the damage to the epithelial damage causes long lasting dysbiosis and microbial translocation (<xref ref-type="bibr" rid="B287">Zicari et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B90">Govindaraj et&#xa0;al., 2023</xref>). Microbiota associated with HIV infection are similar to those associated with other inflammatory diseases, such as inflammatory bowel disease. The dysbiosis in HIV may contribute to the continued systemic inflammation (with corollary impacts on cancer risks) observed in HIV, which persists in patients on ART (<xref ref-type="bibr" rid="B218">Serrano-Villar et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B102">Herrera et&#xa0;al., 2019</xref>).</p>
</sec>
</sec>
<sec id="s6">
<title>Utilizing new approaches to identify novel microbial links with cancer</title>
<p>As opposed to the 1980s, when the associations between HPV and cervical cancer and H. pylori and gastritis and ulcers, initially, and ultimately with gastric cancer (<xref ref-type="bibr" rid="B255">Warren and Marshall, 1983</xref>; <xref ref-type="bibr" rid="B192">Parsonnet et&#xa0;al., 1991</xref>) were suggested using histopathology and other relatively primitive (by current standards) tools available at the time, new instruments and techniques will likely accelerate the process for identifying previously unrecognized associations For instance, next-generation sequencing (NGS) allows for comprehensive analysis of microbial communities and the identification of novel pathogens in cancer tissues. Assessing genetic material (metagenomics) recovered directly from such as tumor tissue can potentially identify microbes associated with cancers. Proteomics and metabolomics can identify microbial proteins and metabolites in cancer tissues, providing insights into triggers for carcinogenesis. Applying such experimental approaches to longitudinal cohorts, overlying infection status and cancer incidence over time in large populations can yield hypotheses generation to be applied to more focused studies to identify new microbial facilitators and potentiators of cancer.</p>
<p>In addition, prompting artificial intelligence (AI)/large language models trained on all published literature can provide a systematic approach for prioritizing the most likely carcinogenic mediators and mechanisms for study, especially when financial resources are limited. AI models could suggest novel microbial cancer linkages that have not yet been studied or hypothesized, based on aligning oncogenic pathways with microbial pathophysiologies. With such approaches, we propose strict criteria such as ours to steer AI findings. While some models, have advanced beyond pattern recognition to critical thinking, not all have this capacity. In addition, findings models can be limited by CPU power and availability. Thus, caution is needed in applying AI to the complexities of microbial oncogenicity. AI may yield biased conclusions, as it relies on currently available data, which is often sourced from developed nations. Consequently, infectious triggers for cancer, which are much more common in SSA than in areas where most of the data currently exists (i.e. the &#x201c;global north&#x201d;) might be overlooked. AI tools may massively accelerate discovery in this field, but will need careful training and coding to correct for biases, and until this is done, such models should be carefully validated (<xref ref-type="bibr" rid="B74">Estiri et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B171">Mbunge and Batani, 2023</xref>; <xref ref-type="bibr" rid="B174">Mittermaier et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B144">Lawsen, 2025</xref>; <xref ref-type="bibr" rid="B223">Shojaee et&#xa0;al., 2025</xref>).</p>
<sec id="s6_1">
<title>Priority areas for discovery</title>
<p>Many of the microbes that have been shown to be oncogenic for specific cancers may cause additional cancers beyond what has already been demonstrated. HPV, implicated in a host of cancers, including cervical, head and neck, anal and penile cancers, may also be associated with prostate (<xref ref-type="bibr" rid="B245">Tsydenova et&#xa0;al., 2023</xref>), breast (<xref ref-type="bibr" rid="B142">Kudela et&#xa0;al., 2022</xref>), and colorectal (<xref ref-type="bibr" rid="B105">Hsu et&#xa0;al., 2022</xref>) cancers. For example, studies have found a predilection for immunohistochemistry-associated HPV presence in prostate cancer tissue when compared with healthy tissue (<xref ref-type="bibr" rid="B274">Zambrano et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B145">Lawson and Glenn, 2020</xref>). Further research to determine whether there is a facilitative role for HPV in prostate cancer could be considered a priority since, existing tools to prevent HPV infection would be used differently (in boys, perhaps with boosters later in adulthood) and could have dramatic public health benefits, should it be confirmed that a proportion of prostate cancer is triggered by HPV infection and persistence.</p>
<p>Likewise, there are data suggesting that EBV may be associated with breast cancer and gastric adenocarcinoma (<xref ref-type="bibr" rid="B238">Tavakoli et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B116">Jeong et&#xa0;al., 2022</xref>; Agolli et&#xa0;al., 2023). Determining such relationships could be pivotal for prioritizing EBV vaccine development. In addition to its role as an established trigger for gastric cancer, H. pylori, has been hypothesized to be linked to lower esophageal adenocarcinoma (<xref ref-type="bibr" rid="B112">Islami and Kamangar, 2008</xref>). Finding further cancer associations for <italic>H pylori</italic>, could increase the application of resources to utilize the knowledge to develop diagnostic and prevention tools.</p>
<p>Oncogenesis theories must consider &#x201c;hit and run&#x201d; cancer mechanisms, where the oncogenic driver may have initiated processes many years ago and now be undetectable; radiation and known mutagen exposure years prior to cancer detection are classic examples, but the concept also applies to microbial oncogenesis <italic>(</italic>
<xref ref-type="bibr" rid="B230">Smith and Saveria Campo, 1988</xref>
<italic>;</italic> <xref ref-type="bibr" rid="B243">Tommasino, 2017</xref>
<italic>)</italic> This is the case for HPV and head and neck cancers, as well as &#x3b2;-HPV and cutaneous cancers, and may also be implicated in the other oncogenic infectious diseases mentioned in this paper <italic>(</italic>
<xref ref-type="bibr" rid="B78">Ferreira et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B77">Ferreira et&#xa0;al., 2023</xref>). Other causal criteria may be fulfilled, but it may not be possible to find histopathological presence in tumor tissue nor persistence of the viral genome <italic>(</italic>
<xref ref-type="bibr" rid="B78">Ferreira et&#xa0;al., 2021</xref>). The determinant for causation, in a &#x201c;hit and run&#x201d; circumstance, may be a pattern of dysregulation, as discussed in this review, that if present, suggest an infectious trigger. Alternatively, microbes producing similar disruption as observed with known microbial cancer pairs (as with HPV and cervical cancer) may provide an indication despite the offending microbe not being present <italic>(</italic>
<xref ref-type="bibr" rid="B111">Irraz&#xe1;bal et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B176">Muhammad et&#xa0;al., 2019</xref>).</p>
</sec>
</sec>
<sec id="s7">
<title>Concluding vision</title>
<p>Discovery of novel microbial-based triggers for oncogenesis and cancer severity will shine a light on feasible pathways to prevent cancer incidence and mortality globally with greatest impact in low-income settings. Such pathways could include vaccine development or modification in use of existing vaccines, as well as new approaches for screening and diagnosis, and other strategies for prevention, and innovative therapies. Machine learning, combined with advances in experimental tools, and multi-disciplinary global collaborations, bringing expertise together across multiple disparate fields of study for innovative approaches, provides the potential a new era for scientific advances in the field of microbial oncogenesis (<xref ref-type="bibr" rid="B29">Breiman et&#xa0;al., 2023</xref>). This opportunity should be prioritized because of its consequential potential to lead to products and strategies that will address the massive growing impact and global inequities in cancer burden.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>RD: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RB: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. We acknowledge the use of Google Gemini pro to confirm no major microbial drivers were overlooked during the writing of this manuscript. Similarly we used Google Gemini pro to confirm if our proposed criteria were correctly applied and if any factor was overlooked during the review process.</p>
</sec>
<sec id="s12" 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>
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