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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1383530</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between gut microbiota and gastric cancers: a two-sample Mendelian randomization study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chang</surname> <given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Guanzhuang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Feng</surname> <given-names>Cuncheng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2267354/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Anorectal Surgery, The Affiliated Changzhou No. 2 People&#x2019;s Hospital of Nanjing Medical University</institution>, <addr-line>Changzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Gastrointestinal Surgery, The Affiliated Changzhou No. 2 People&#x2019;s Hospital of Nanjing Medical University</institution>, <addr-line>Changzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: George Grant, University of Aberdeen, United Kingdom</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Marcos Edgar Herkenhoff, University of S&#x00E3;o Paulo, Brazil</p>
<p>Georgia Damoraki, National and Kapodistrian University of Athens, Greece</p>
<p>Neha Nanda, Harvard Medical School, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Cuncheng Feng, <email>fengcuncheng0612@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1383530</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Chang, Gao and Feng.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Chang, Gao and Feng</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>
<sec id="sec1">
<title>Background</title>
<p>Gastric cancer (GC) is the fifth most commonly diagnosed cancer worldwide, with its etiology attributed to a complex interplay of genetic, dietary, environmental factors, and infections such as <italic>Helicobacter pylori</italic>. Despite the known risk factors, the role of gut microbiota in the development of gastric cancer remains insufficiently explored. This study aims to elucidate the causal relationship between gut microbiota and gastric cancer using a two-sample Mendelian Randomization (MR) approach.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Utilizing genome-wide association study (GWAS) summary data from the MiBioGen consortium and gastric cancer datasets, we selected instrumental variables for MR analysis based on their association with specific microbiota. We employed several MR methods, including inverse variance weighted (IVW), MR-Egger, weighted median, and others, to estimate the causal effects of gut microbiota diversity on the risk of developing gastric cancer.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Our analysis identified significant associations between certain gut microbiota and gastric cancer risk. Specifically, taxa such as <italic>Clostridium sensustricto1</italic> (OR&#x2009;=&#x2009;0.540, 95%CI: 0.354&#x2013;0.823, <italic>p</italic> =&#x2009;0.004), <italic>Actinomycetales</italic> (OR&#x2009;=&#x2009;0.756, 95%CI: 0.613&#x2013;0.932, <italic>p</italic> =&#x2009;0.009), <italic>Selenomonadales</italic> (OR = 0.816, 95%CI: 0.666&#x2013;1.000, <italic>p</italic> &#x003C; 0.05), <italic>Negativicutes</italic> (OR = 0.816, 95%CI: 0.666&#x2013;1.000, <italic>p</italic> &#x003C; 0.05), <italic>Rikenellaceae</italic> (OR&#x2009;=&#x2009;0.863, 95%CI: 0.746&#x2013;0.999, <italic>p</italic> =&#x2009;0.048) were found to have a protective effect against gastric cancer. Conversely, an increased risk of gastric cancer was associated with the abundance of <italic>Roseburia</italic> (OR&#x2009;=&#x2009;1.342, 95%CI: 1.071&#x2013;1.681, <italic>p</italic> =&#x2009;0.011), <italic>Family XI</italic> (OR&#x2009;=&#x2009;1.132, 95%CI: 1.012&#x2013;1.267, <italic>p</italic> =&#x2009;0.030), and <italic>Eubacterium brachy group</italic> (OR&#x2009;=&#x2009;1.207, 95%CI: 1.074&#x2013;1.355, <italic>p</italic> =&#x2009;0.002). The findings were robust across various MR methods and were not driven by any single SNP, indicating a genuine causal relationship.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Our studies have shown that there is a causal relationship between intestinal flora and gastric cancer at the genetic level. <italic>Clostridium sensustricto1</italic>, <italic>Actinomycetales</italic>, <italic>Rikenellaceae</italic>, <italic>Selenomonadales</italic>, <italic>Negativicutes</italic>, and <italic>Actinomycetaceae</italic> as having a protective role against GC, while <italic>Roseburia</italic>, <italic>Family XI</italic>, and <italic>Eubacterium brachy group</italic> were associated with an increased risk.</p>
</sec>
</abstract>
<kwd-group>
<kwd>association</kwd>
<kwd>gut microbiota</kwd>
<kwd>gastric cancer</kwd>
<kwd>GWAS</kwd>
<kwd>Mendelian randomization</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="10"/>
<word-count count="5119"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Agents and Disease</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Gastric cancer (GC), classified fifth in incidence among global cancer diagnoses and occupying the third position as a causative factor of oncology-associated mortalities, were documented with approximately 1.08 million novel cases and accounted for 769,000 fatalities worldwide in the year 2020 (<xref ref-type="bibr" rid="ref14">Hamashima, 2020</xref>; <xref ref-type="bibr" rid="ref30">Sung et al., 2021</xref>). Despite extensive research, the etiology of gastric cancer remains partially understood, implicating genetic, dietary, environmental factors, <italic>Helicobacter pylori</italic> (Hp) infection, and precancerous lesions (chronic gastritis, gastric ulcer, gastric polyps, etc.) within a complex interaction network (<xref ref-type="bibr" rid="ref19">Machlowska et al., 2020</xref>). Particularly, <italic>Helicobacter pylori</italic> (Hp) infection is identified as a principal risk factor (<xref ref-type="bibr" rid="ref8">Collatuzzo et al., 2021</xref>; <xref ref-type="bibr" rid="ref20">Mendes-Rocha et al., 2023</xref>). However, eradication of <italic>H. pylori</italic> does not fully preclude gastric carcinoma development, with only about 1% of infected patients developing the disease (<xref ref-type="bibr" rid="ref22">Mirzaei et al., 2021</xref>). Contrary to earlier beliefs that the acidic environment of the human stomach precludes the colonization by microorganisms other than <italic>Helicobacter pylori</italic> (<xref ref-type="bibr" rid="ref11">Devi et al., 2021</xref>; <xref ref-type="bibr" rid="ref34">Zhou et al., 2024</xref>). Recent advances in sequencing technology have unveiled a diverse stomach microbiota, correlating gastric cancer with increased microbial diversity and abundance (<xref ref-type="bibr" rid="ref34">Zhou et al., 2024</xref>).</p>
<p>The human microbiota, encompassing viruses, fungi, and bacteria, can undergo dysbiosis due to diets, antibiotics, microbial infections, and host genetics (<xref ref-type="bibr" rid="ref21">Meng et al., 2018</xref>; <xref ref-type="bibr" rid="ref5">Chattopadhyay et al., 2023</xref>). A balanced microbiota plays a protective role against cancer development, whereas dysbiosis may promote oncogenesis (<xref ref-type="bibr" rid="ref13">Garrett, 2015</xref>; <xref ref-type="bibr" rid="ref21">Meng et al., 2018</xref>). With advancements in the complexity and resolution of the human microbiota in recent years, the scientific community has bestowed increased attention on its role in the genesis of tumors (<xref ref-type="bibr" rid="ref9">Cullin et al., 2021</xref>). The gastrointestinal tract serves as a crucial metabolic organ, hosting a substantial aggregation of microorganisms. The gastrointestinal tract, hosting a vast microbial community, is recognized for its metabolic significance and its interdependent relationship with human health throughout life. The gut microbiome, spanning the digestive system, is increasingly seen as a crucial ecological factor influencing human health (<xref ref-type="bibr" rid="ref1">Adak and Khan, 2019</xref>; <xref ref-type="bibr" rid="ref6">Chen C. et al., 2021</xref>).</p>
<p>Extensive research has highlighted the gut microbiota&#x2019;s direct and indirect roles in gastric cancer&#x2019;s onset, treatment, and prognosis. A study in China comparing the gut microbiota of 116 gastric cancer patients with 88 healthy controls found significant microbial alterations, including increased flora abundance, reduced butyrate-producing bacteria, and significant enrichments of <italic>Lactobacillus</italic>, <italic>Escherichia</italic>, and <italic>Klebsiella</italic> in cancer patients (<xref ref-type="bibr" rid="ref26">Qi et al., 2019</xref>). <xref ref-type="bibr" rid="ref27">Sarhadi et al. (2021)</xref>, identified <italic>Enterobacteriaceae</italic> as prevalent in all gastric cancer types, suggesting its potential as a diagnostic biomarker. In addition, relevant studies have shown that certain gut bacteria produce metabolites like acetic acid and butyrate, influencing gastric carcinogenesis, while evidence suggests intestinal probiotics may mitigate inflammation, enhance immunity, promote tumor apoptosis, restore flora balance, and block cancer pathways, potentially curtailing gastric cancer progression (<xref ref-type="bibr" rid="ref16">Hu et al., 2018</xref>; <xref ref-type="bibr" rid="ref7">Chen Y. et al., 2021</xref>; <xref ref-type="bibr" rid="ref15">Hou et al., 2022</xref>).</p>
<p>The gut microbiota&#x2019;s role in host health is gaining acknowledgment, underscoring the need to connect gut flora with disease processes and to harness these insights for breakthroughs in disease prevention, diagnosis, and treatment. Currently, although there are studies related to the properties of the gut microbiota in gastric cancer patients, most of them are observational. Traditional observational studies have encountered difficulties in establishing causal relationships between gut microbiota and cancer risk because they are susceptible to confounding variables such as dietary patterns, environmental factors, and reverse causality effects (<xref ref-type="bibr" rid="ref3">Birney, 2021</xref>; <xref ref-type="bibr" rid="ref33">Yang et al., 2023</xref>). Hence, a robust methodology is essential for causal analysis. Mendelian Randomization (MR) analysis employs genetic variants, such as Single Nucleotide Polymorphisms (SNPs), as instrumental variables, drawing upon the principle of Mendel&#x2019;s law of independent assortment (<xref ref-type="bibr" rid="ref28">Sekula et al., 2016</xref>). This approach, which considers the genetic allocation at conception as akin to the randomized conditions found in controlled experiments, allows observational studies to address challenges like residual confounding and reverse causality, thus enhancing their reliability (<xref ref-type="bibr" rid="ref3">Birney, 2021</xref>). Investigating the causal link between gut microbiota and gastric cancer through MR analysis is pivotal for elucidating pathogenesis and refining treatment modalities. Our study aims to elucidate this causal relationship using MR, advancing the understanding of gut microbiota&#x2019;s role in gastric cancer risk.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design</title>
<p>Drawing on the genome-wide association study (GWAS) summary data for gut microbiota and GC, this investigation meticulously selected eligible instrumental variables (IVs) for Mendelian Randomization (MR) analysis to delineate the causal dynamics between gut microbiota and GC. The methodology rigorously adhered to the tripartite foundational assumptions of MR analysis: (1) The IVs identified bore a direct association with the exposure variable; (2) The IVs were not associated with any confounding factors, ensuring their independence; (3) The IVs exerted influence on the outcome exclusively through their interaction with the exposure variable (<xref ref-type="fig" rid="fig1">Figure 1</xref>). This study is reported following the Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomization guidelines is a specialized checklist for MR studies. The datasets deployed in this research are accessible publicly, so this study did not require Ethical approval or informed consent because it was derived from GWAS summary statistics.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>A schematic diagram illustrates the MR causality study design, elucidating the fundamental principles of MR study and the hypothetical relationship between genetic variant, exposure, and outcome.</p>
</caption>
<graphic xlink:href="fmicb-15-1383530-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Data source</title>
<p>GWAS summary data for gut microbiota were sourced from the MiBioGen consortium website,<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> encompassing 14,306 samples of European descent, with informed consent obtained. The dataset included 5,594,934 SNPs for <italic>Clostridium sensustricto1</italic>, 5,712,148 SNPs for <italic>Roseburia</italic>, 5,424,038 SNPs for <italic>Actinomycetales</italic>, 4,330,602 SNPs for <italic>Family XI</italic>, 5,665,27 SNPs for <italic>Rikenellaceae</italic>, 5,721,008 SNPs for <italic>Selenomonadales</italic>, 5,221,253 SNPs for <italic>Eubacterium brachy group</italic>, 5,721,008 SNPs for <italic>Negativicutes</italic>, and 5,424,030 SNPs for <italic>Actinomycetaceae</italic>. In the context of gastric cancer, we analyzed summary-level data from 476,116 European individuals, which included 24,188,662 SNPs (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The GWAS datasets for exposure and outcomes.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Exposure/outcome</th>
<th align="left" valign="top">GWAS_ID</th>
<th align="center" valign="top">Consortium</th>
<th align="center" valign="top">Sample size</th>
<th align="center" valign="top">Number of SNPs</th>
<th align="left" valign="top">Population</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Gastric cancer</td>
<td align="left" valign="middle">ebi-a-GCST90018849</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">476,116</td>
<td align="center" valign="middle">24,188,662</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Genus Clostridium sensustricto1</td>
<td align="left" valign="middle">ebi-a-GCST90016980</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,594,934</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Genus Roseburia</td>
<td align="left" valign="middle">ebi-a-GCST90017048</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,712,148</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Order Actinomycetales</td>
<td align="left" valign="middle">ebi-a-GCST90017090</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,424,038</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Family Family XI</td>
<td align="left" valign="middle">ebi-a-GCST90016938</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">4,330,602</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Family Rikenellaceae</td>
<td align="left" valign="middle">ebi-a-GCST90016950</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,665,279</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Order Selenomonadales</td>
<td align="left" valign="middle">ebi-a-GCST90017107</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,721,008</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Genus <italic>Eubacterium brachy</italic> group</td>
<td align="left" valign="middle">ebi-a-GCST90016996</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,221,253</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Class Negativicutes</td>
<td align="left" valign="middle">ebi-a-GCST90016922</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,721,008</td>
<td align="left" valign="middle">European</td>
</tr>
<tr>
<td align="left" valign="middle">Family Actinomycetaceae</td>
<td align="left" valign="middle">ebi-a-GCST90016925</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">14,306</td>
<td align="center" valign="middle">5,424,030</td>
<td align="left" valign="middle">European</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>IV selection</title>
<p>To ensure the robustness and reliability of our MR analysis, we implemented stringent quality controls for IVs selection, adhering to the three foundational assumptions of MR analysis (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Initially, we identified SNPs associated with nine gut microbiotas (including <italic>Clostridium sensustricto1</italic>, <italic>Roseburia</italic>, <italic>Actinomycetales</italic>, <italic>Family XI</italic>, <italic>Rikenellaceae</italic>, <italic>Selenomonadales</italic>, <italic>Eubacterium brachy group</italic>, <italic>Negativicutes</italic>, <italic>Actinomycetaceae</italic>) with a significance threshold of <italic>p</italic> &#x003C;&#x2009;1E-5. To mitigate the influence of linkage disequilibrium (LD), SNPs within strong LD were excluded (r<sup>2</sup> &#x003C;&#x2009;0.001, clumping distance&#x2009;=&#x2009;10,000&#x2009;kb). Furthermore, only SNPs with an F-statistic &#x003E;10 were selected to satisfy the criterion for a strong association with the exposure. Additionally, palindromic SNPs with intermediate allele frequencies were removed to enhance result accuracy. The F-statistic was calculated using the formula: <italic>F&#x2009;=&#x2009;&#x03B2;<sup>2</sup>exposure/SE<sup>2</sup>exposure</italic> (<xref ref-type="bibr" rid="ref4">Burgess et al., 2017</xref>), to assess the robustness of the instrumental SNPs, considering an F-statistic &#x003E;10 indicative of a minimal weak instrument bias (<xref ref-type="bibr" rid="ref24">Papadimitriou et al., 2020</xref>; <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>A schematic model of the Mendelian randomization (MR) study. GWAS, Genome Wide Association Studies; IV, Instrumental variable; SNP, single nucleotide polymorphism; MR, Mendelian randomization; IVW, Inverse-variance weighted.</p>
</caption>
<graphic xlink:href="fmicb-15-1383530-g002.tif"/>
</fig>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Our MR analysis was conducted using five distinct approaches: the random-effects inverse variance weighted (IVW) method as the primary analysis, complemented by MR Egger, weighted median, simple mode, and weighted mode analyses. The random-effects IVW results served as the cornerstone of our study. To evaluate heterogeneity, we utilized the Cochran&#x2019;s Q statistic for MR-IVW and Rucker&#x2019;s Q statistic for MR Egger, with <italic>p</italic> &#x003E;&#x2009;0.05 indicating no significant heterogeneity (<xref ref-type="bibr" rid="ref28">Sekula et al., 2016</xref>). The MR Egger intercept test was employed to assess horizontal pleiotropy, with <italic>p</italic> &#x003E;&#x2009;0.05 suggesting an absence of horizontal pleiotropy. Moreover, the MR-PRESSO test not only identified horizontal pleiotropy but also detected outliers. The &#x201C;Leave one out&#x201D; analysis was instrumental in determining if a single SNP disproportionately influenced the causal relationship between gut microbiota and GC. The global test in MR-PRESSO analysis was applied for horizontal pleiotropy assessment, and the distortion test within the same framework was utilized to ascertain the presence of outliers in our MR analysis. All Mendelian Randomization analyses were performed utilizing the &#x2018;Two Sample MR&#x2019; (version 0.5.6) and &#x2018;MR-PRESSO&#x2019; (version 1.0) packages in R version 4.2.3, setting statistical significance at <italic>p</italic> &#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>IVs selection</title>
<p>Through meticulous SNP screening for exposure association and linkage disequilibrium (LD) removal, we identified instrumental variables: 7 SNPs for <italic>Clostridium sensustricto1</italic>, 13 for <italic>Roseburia</italic>, 5 for <italic>Actinomycetales</italic>, 8 for <italic>Family XI</italic>, 19 for <italic>Rikenellaceae</italic>, 12 for <italic>Selenomonadales</italic>, 10 for <italic>Eubacterium brachy group</italic>, 12 for <italic>Negativicutes</italic>, and 5 for <italic>Actinomycetaceae</italic> (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The significant causal effect of gut microbiota on gastric cancer.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Exposure</th>
<th align="left" valign="top">Method</th>
<th align="center" valign="top">SNPs (<italic>n</italic>)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">OR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">Genus Clostridium sensustricto1</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="bottom">0.042</td>
<td align="center" valign="bottom">0.243 (0.087&#x2013;0.676)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="bottom">0.535</td>
<td align="center" valign="bottom">0.890 (0.615&#x2013;1.287)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.540 (0.354&#x2013;0.823)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="bottom">0.951</td>
<td align="center" valign="bottom">0.983 (0.572&#x2013;1.687)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="bottom">0.955</td>
<td align="center" valign="bottom">0.986 (0.627&#x2013;1.551)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Genus Roseburia</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="bottom">0.958</td>
<td align="center" valign="bottom">1.024 (0.424&#x2013;2.473)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="bottom">0.447</td>
<td align="center" valign="bottom">1.127 (0.828&#x2013;1.536)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="bottom">0.011</td>
<td align="center" valign="bottom">1.342 (1.071&#x2013;1.681)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="bottom">0.464</td>
<td align="center" valign="bottom">1.198 (0.750&#x2013;1.914)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="bottom">0.643</td>
<td align="center" valign="bottom">1.107 (0.729&#x2013;1.682)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Order Actinomycetales</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.884</td>
<td align="center" valign="bottom">0.926 (0.424&#x2013;2.473)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.033</td>
<td align="center" valign="bottom">0.747 (0.828&#x2013;1.536)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.009</td>
<td align="center" valign="bottom">0.756 (0.613&#x2013;0.932)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.166</td>
<td align="center" valign="bottom">0.689 (0.750&#x2013;1.914)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.173</td>
<td align="center" valign="bottom">0.685 (0.729&#x2013;1.682)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Family Family XI</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="bottom">0.201</td>
<td align="center" valign="bottom">1.740 (0.817&#x2013;3.705)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="bottom">0.550</td>
<td align="center" valign="bottom">1.043 (0.909&#x2013;1.197)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="bottom">0.030</td>
<td align="center" valign="bottom">1.132 (1.012&#x2013;1.267)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="bottom">0.784</td>
<td align="center" valign="bottom">1.034 (0.820&#x2013;1.305)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="bottom">0.679</td>
<td align="center" valign="bottom">1.046 (0.853&#x2013;1.283)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Family Rikenellaceae</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="bottom">0.477</td>
<td align="center" valign="bottom">1.233 (0.701&#x2013;2.171)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="bottom">0.193</td>
<td align="center" valign="bottom">0.869 (0.704&#x2013;1.073)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="bottom">0.048</td>
<td align="center" valign="bottom">0.863 (0.746&#x2013;0.999)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="bottom">0.521</td>
<td align="center" valign="bottom">0.903 (0.666&#x2013;1.225)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="bottom">0.320</td>
<td align="center" valign="bottom">0.883 (0.695&#x2013;1.121)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Order Selenomonadales</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.924</td>
<td align="center" valign="bottom">0.952 (0.351&#x2013;2.582)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.443</td>
<td align="center" valign="bottom">0.899 (0.684&#x2013;1.181)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">&#x003C;0.050</td>
<td align="center" valign="bottom">0.816 (0.666&#x2013;1.000)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.635</td>
<td align="center" valign="bottom">0.914 (0.638&#x2013;1.311)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.581</td>
<td align="center" valign="bottom">0.910 (0.656&#x2013;1.261)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Genus <italic>Eubacterium brachy</italic> group</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="bottom">0.056</td>
<td align="center" valign="bottom">2.024 (1.091&#x2013;3.754)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="bottom">0.341</td>
<td align="center" valign="bottom">1.087 (0.916&#x2013;1.290)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="bottom">0.002</td>
<td align="center" valign="bottom">1.207 (1.074&#x2013;1.355)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="bottom">0.802</td>
<td align="center" valign="bottom">1.036 (0.792&#x2013;1.354)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="bottom">0.640</td>
<td align="center" valign="bottom">1.060 (0.836&#x2013;1.345)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Class Negativicutes</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.924</td>
<td align="center" valign="bottom">0.952 (0.351&#x2013;2.582)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.446</td>
<td align="center" valign="bottom">0.899 (0.684&#x2013;1.182)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">&#x003C;0.050</td>
<td align="center" valign="bottom">0.816 (0.666&#x2013;1.000)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.636</td>
<td align="center" valign="bottom">0.914 (0.637&#x2013;1.312)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="bottom">0.568</td>
<td align="center" valign="bottom">0.910 (0.663&#x2013;1.248)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Family Actinomycetaceae</td>
<td align="left" valign="bottom">MR Egger</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.887</td>
<td align="center" valign="bottom">0.928 (0.361&#x2013;2.386)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted median</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.050</td>
<td align="center" valign="bottom">0.747 (0.558&#x2013;1.000)</td>
</tr>
<tr>
<td align="left" valign="bottom">Inverse variance weighted</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.009</td>
<td align="center" valign="bottom">0.756 (0.613&#x2013;0.932)</td>
</tr>
<tr>
<td align="left" valign="bottom">Simple mode</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.172</td>
<td align="center" valign="bottom">0.688 (0.442&#x2013;1.070)</td>
</tr>
<tr>
<td align="left" valign="bottom">Weighted mode</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="bottom">0.188</td>
<td align="center" valign="bottom">0.682 (0.425&#x2013;1.095)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>MR analysis</title>
<p>In total, we analyzed 196 species of gut flora for their causal association with gastric cancer (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The inverse variance weighted (IVW) method, as our primary analysis tool, revealed a causal association between the relative abundance of nine genetically predicted bacterial taxa and gastric cancer (<xref ref-type="table" rid="tab2">Table 2</xref>). The scatter plots for the causal relationship between gut microbiota and gastric cancer was presented in <xref ref-type="fig" rid="fig4">Figure 4</xref>. Specifically, the IVW analysis showed a protective effect against gastric cancer for <italic>Clostridium sensustricto1</italic> (OR&#x2009;=&#x2009;0.540, 95%CI: 0.354&#x2013;0.823, <italic>p</italic> =&#x2009;0.004), <italic>Actinomycetales</italic> (OR&#x2009;=&#x2009;0.756, 95%CI: 0.613&#x2013;0.932, <italic>p</italic> =&#x2009;0.009), <italic>Rikenellaceae</italic> (OR&#x2009;=&#x2009;0.863, 95%CI: 0.746&#x2013;0.999, <italic>p</italic> =&#x2009;0.048), <italic>Selenomonadales</italic> (OR&#x2009;=&#x2009;0.816, 95%CI: 0.666&#x2013;1.000, <italic>p</italic> &#x003C;&#x2009;0.05), and <italic>Negativicutes</italic> (OR&#x2009;=&#x2009;0.816, 95%CI: 0.666&#x2013;1.000, <italic>p</italic> &#x003C;&#x2009;0.05). Conversely, <italic>Roseburia</italic> (OR&#x2009;=&#x2009;1.342, 95%CI: 1.071&#x2013;1.681, <italic>p</italic> =&#x2009;0.011), <italic>Family XI</italic> (OR&#x2009;=&#x2009;1.132, 95%CI: 1.012&#x2013;1.267, <italic>p</italic> =&#x2009;0.030), and <italic>Eubacterium brachy group</italic> (OR&#x2009;=&#x2009;1.207, 95%CI: 1.074&#x2013;1.355, <italic>p</italic> =&#x2009;0.002) were linked to an increased risk of gastric cancer (<xref ref-type="table" rid="tab2">Table 2</xref>; <xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>196 species of gut microbiota for their causal association with gastric cancer. There are three types of gut microbiota data missing, and a total of 193 gut flora results are shown.</p>
</caption>
<graphic xlink:href="fmicb-15-1383530-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Scatter plots of different MR outcomes. Scatter plots showed the causal effect of diffrent gut microbotia on Gastric cancer. <bold>(A)</bold> <italic>Clostridium sensustricto1</italic>; <bold>(B)</bold> <italic>Roseburia</italic>; <bold>(C)</bold> <italic>Actinomycetales</italic>; <bold>(D)</bold> <italic>Family X</italic>; <bold>(E)</bold> <italic>Rikenellaceae</italic>; <bold>(F)</bold> <italic>Selenomonadales</italic>; <bold>(G)</bold> <italic>Eubacterium brachy group</italic>; <bold>(H)</bold> <italic>Negativicutes</italic>; <bold>(I)</bold> <italic>Actinomycetaceae</italic>. The slopes of each line represent the causal association for each method.</p>
</caption>
<graphic xlink:href="fmicb-15-1383530-g004.tif"/>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Forest plot showing the causal relationship between the genetically identified 9 microbial taxa and Gastric cancer using the MR analysis. The blue line segments and blue dots indicate the 95% CIs and OR-value for the different gut microbiota for the 5 methods (IVW, MR Egger, Weighted median, Simple mode, Weighted mode).</p>
</caption>
<graphic xlink:href="fmicb-15-1383530-g005.tif"/>
</fig>
</sec>
<sec id="sec14">
<label>3.3</label>
<title>Sensitivity analyses</title>
<p>Cochran&#x2019;s Q statistic and Rucker&#x2019;s Q statistic analyses indicated no heterogeneity in MR analyses for <italic>Roseburia</italic>, <italic>Actinomycetales</italic>, <italic>Family XI</italic>, <italic>Rikenellaceae</italic>, <italic>Selenomonadales</italic>, <italic>Eubacterium brachy group</italic>, <italic>Negativicutes</italic>, and <italic>Actinomycetaceae</italic> with gastric cancer (<italic>p</italic> &#x003E;&#x2009;0.05). However, <italic>Clostridium sensustricto1&#x2019;s</italic> MR analysis with gastric cancer showed heterogeneity (<italic>p</italic> &#x003C;&#x2009;0.05). The MR Egger intercept test suggested no horizontal pleiotropy in the MR analyses across all examined taxa (<italic>p</italic> &#x003E;&#x2009;0.05) (<xref ref-type="table" rid="tab3">Table 3</xref>). The &#x201C;Leave one out&#x201D; analysis further confirmed the robustness of our MR findings, showing that no single SNP disproportionately influenced the causal inference. Moreover, the MR-PRESSO global test corroborated the absence of horizontal pleiotropy across all taxa (<italic>p</italic> &#x003E;&#x2009;0.05), and the distortion test affirmed no outliers were present in our MR analyses (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Sensitivity analysis of the MR analysis results of exposures and outcomes.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Exposure</th>
<th align="left" valign="top" rowspan="3">Outcome</th>
<th align="center" valign="top" colspan="2">Heterogeneity test</th>
<th align="center" valign="top">Pleiotropy test</th>
<th align="center" valign="top" colspan="2">MR-PRESSO</th>
</tr>
<tr>
<th align="center" valign="top">Cochran&#x2019;s Q<break/>Test (<italic>p</italic> value)</th>
<th align="center" valign="top">Rucker&#x2019;s Q<break/>Test (<italic>p</italic> value)</th>
<th align="center" valign="top">Egger Intercept (<italic>p</italic> value)</th>
<th align="center" valign="top">Distortion test</th>
<th align="center" valign="top">Global test</th>
</tr>
<tr>
<th align="center" valign="top">IVW</th>
<th align="center" valign="top">MR-Egger</th>
<th align="center" valign="top">MR-Egger</th>
<th align="center" valign="top">Outliers</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Genus Clostridium sensustricto1</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.020</td>
<td align="center" valign="middle">0.161</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.06</td>
</tr>
<tr>
<td align="left" valign="middle">Genus Roseburia</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.135</td>
<td align="center" valign="middle">0.113</td>
<td align="center" valign="middle">0.547</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.19</td>
</tr>
<tr>
<td align="left" valign="middle">Order Actinomycetales</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.379</td>
<td align="center" valign="middle">0.267</td>
<td align="center" valign="middle">0.693</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.43</td>
</tr>
<tr>
<td align="left" valign="middle">Family Family XI</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.264</td>
<td align="center" valign="middle">0.294</td>
<td align="center" valign="middle">0.303</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.4</td>
</tr>
<tr>
<td align="left" valign="middle">Family Rikenellaceae</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.554</td>
<td align="center" valign="middle">0.602</td>
<td align="center" valign="middle">0.218</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.61</td>
</tr>
<tr>
<td align="left" valign="middle">Order Selenomonadales</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.570</td>
<td align="center" valign="middle">0.488</td>
<td align="center" valign="middle">0.764</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.58</td>
</tr>
<tr>
<td align="left" valign="middle">Genus <italic>Eubacterium brachy</italic> group</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.487</td>
<td align="center" valign="middle">0.683</td>
<td align="center" valign="middle">0.133</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.62</td>
</tr>
<tr>
<td align="left" valign="middle">Class Negativicutes</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.570</td>
<td align="center" valign="middle">0.488</td>
<td align="center" valign="middle">0.764</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.64</td>
</tr>
<tr>
<td align="left" valign="middle">Family Actinomycetaceae</td>
<td align="left" valign="middle">Gastric cancer</td>
<td align="center" valign="middle">0.378</td>
<td align="center" valign="middle">0.266</td>
<td align="center" valign="middle">0.691</td>
<td align="center" valign="middle">NA</td>
<td align="center" valign="middle">0.38</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>In our investigation employing the Mendelian Randomization (MR) methodology, we explored the genetic causal connections between nine gut microbiotas and gastric cancer. This approach allowed us to conduct a causal analysis from a genetic standpoint, circumventing the limitations often encountered in traditional observational studies. Our findings identified <italic>Clostridium sensustricto1</italic>, <italic>Actinomycetales</italic>, <italic>Rikenellaceae</italic>, <italic>Selenomonadales</italic>, <italic>Negativicutes</italic>, and <italic>Actinomycetaceae</italic> as having a protective role against GC, while <italic>Roseburia</italic>, <italic>Family XI</italic>, and <italic>Eubacterium brachy group</italic> were associated with an increased risk at the genetic level. The MR analysis thus unveils the genetic causal relationships between these gut microbiotas and GC, highlighting the significance of the gut microbiome&#x2019;s composition in influencing GC risk.</p>
<p><italic>Clostridium sensustricto1</italic> are primarily strictly anaerobic, fermentative bacteria, one of the important anaerobic bacteria in the human gut (<xref ref-type="bibr" rid="ref29">Spring et al., 2003</xref>). They metabolize various compounds such as carbohydrates, amino acids, alcohols and purines. Butyric acid is a &#x201C;genus-specific&#x201D; product of fermentation. 5 Various concentrations of acetic acid, lactic acid and/or ethanol, propanol or butanol can also be formed as fermentation products (<xref ref-type="bibr" rid="ref2">Alou et al., 2018</xref>). Previous studies have documented <italic>Clostridium&#x2019;s</italic> dual role in the digestive tract, capable of breaking down fat into secondary bile acids for carcinogenesis and fiber into butyrate for antitumor effects. The hypothesis that <italic>Clostridium sensustricto1</italic> mitigates GC pathogenesis through their complex metabolites warrants further investigation. The <italic>Actinobacteria</italic> order and the <italic>Actinobacteriaceae</italic> family, both <italic>filamentous Gram-positive bacteria</italic>, are recognized for their protective role against GC. <italic>Actinomyces</italic>, a well-known probiotic, has been shown to prevent constipation, improve intestinal function, aid in nutrient digestion and absorption, and produce vital nutrients (<xref ref-type="bibr" rid="ref12">Ding et al., 2020</xref>). <xref ref-type="bibr" rid="ref32">Wang et al. (2022)</xref> observed a significant reduction in actinomycetes abundance in patients with gastritis infected with <italic>Helicobacter pylori</italic> compared to uninfected individuals. Given <italic>H. pylori&#x2019;s</italic> established role as a major GC risk factor, its infection may disrupt the original flora balance and diminish the protective effect of normal flora like <italic>Actinomycetes</italic>, which indirectly confirms our findings (<xref ref-type="bibr" rid="ref11">Devi et al., 2021</xref>; <xref ref-type="bibr" rid="ref17">Iino and Shimoyama, 2021</xref>). Furthermore, <italic>Rikenellaceae</italic> and other bacteria like <italic>Selenomonadales</italic> and <italic>Negativicutes</italic>, which belong to the phylum of <italic>Firmicutes</italic>, contribute significantly to the human intestinal flora and produce short-chain fatty acids (SCFA) (<xref ref-type="bibr" rid="ref22">Mirzaei et al., 2021</xref>). <xref ref-type="bibr" rid="ref16">Hu et al. (2018)</xref> observed a reduction in the pathways responsible for short-chain fatty acids (SCFAs) production in gastric cancer, indicating a heightened presence of inflammation and microbial imbalance within such pathological states. Furthermore, the gut microbiome and its metabolic by-products are known to influence the immune response to gastric cancer. The interaction between the microbiota and the immune system is mediated by pattern recognition receptors (PRRs) on innate immune cells. These receptors identify and differentiate between beneficial and detrimental bacteria through the detection of pathogen-associated molecular patterns (PAMPs), including bacterial endotoxins or lipopolysaccharides (<xref ref-type="bibr" rid="ref23">Nasr et al., 2020</xref>). Various cells within the gut lumen can transport gut microbiota to engage with specific PRRs, triggering T or B cell-mediated responses (<xref ref-type="bibr" rid="ref31">Wang et al., 2023</xref>). It has also been documented that <italic>Helicobacter pylori</italic> (Hp) can disrupt CD4&#x2009;+&#x2009;T cell proliferation and diminish the production of IL-2 and IFN-g by enhancing programmed cell death-ligand 1 (PD-L1) expression on gastric epithelial cells (<xref ref-type="bibr" rid="ref10">Das et al., 2006</xref>). Additionally, the presence of <italic>Methylobacterium</italic> in gastric cancer tissues has been linked to the suppression of CD8+ tissue-resident memory T cells (TRM), alongside a reduction in TGF-b expression (<xref ref-type="bibr" rid="ref25">Peng et al., 2022</xref>). The gut microbiota, therefore, not only modulates immune responses during the development of tumors but also its metabolites significantly influence cancer progression and the immune system (<xref ref-type="bibr" rid="ref31">Wang et al., 2023</xref>). <xref ref-type="bibr" rid="ref18">Legoux et al. (2019)</xref> discovered that the metabolite 5-(2-oxopropylideneamino)-6-d-ribitylaminouracil fosters the proliferation of mucosal-associated invariant T (MAIT) cells from mucosal sites to the thymus, playing a crucial role in bolstering the body&#x2019;s protective immune response. This study posits that <italic>Roseburia</italic>, <italic>Family XI</italic>, and <italic>Eubacterium brachy group</italic> contribute to the risk of gastric carcinogenesis. However, literature lacks comprehensive reports on this matter, highlighting the necessity for detailed investigations to clarify their roles.</p>
<p>This study&#x2019;s strengths include being the first MR analysis to investigate the potential causal connection between gut microbiota and GC, utilizing the largest GWAS summary data on gut microbiota to date. Despite its novel insights, limitations exist, such as the use of summary statistics rather than raw data, limiting further subgroup analyses and the generalizability of findings across different populations and taxonomic levels. The majority of participants in the GWAS were of European descent. The use of 16S rRNA gene sequencing in the MiBioGen consortium&#x2019;s GWAS data on gut microbiota only allows for the detection of genetic data at the genus to phylum level, and there is no genetic data for the species level. In addition, the selection of SNPs based on a predefined significance threshold may not capture the full genetic influence on GC risk, highlighting the need for caution in interpreting the results and the potential for unknown confounding factors.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>Our studies have shown that there is a causal relationship between intestinal flora and gastric cancer at the genetic level. <italic>Clostridium sensustricto1</italic>, <italic>Actinomycetales</italic>, <italic>Rikenellaceae</italic>, <italic>Selenomonadales</italic>, <italic>Negativicutes</italic>, and <italic>Actinomycetaceae</italic> as having a protective role against GC, while <italic>Roseburia</italic>, <italic>Family XI</italic>, and <italic>Eubacterium brachy group</italic> were associated with an increased risk.</p>
</sec>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>YC: Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Writing &#x2013; review &#x0026; editing, Funding acquisition, Validation. GG: Conceptualization, Investigation, Project administration, Resources, Software, Supervision, Validation, Writing &#x2013; original draft. CF: Conceptualization, Data curation, Formal analysis, Methodology, Software, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We are grateful to the MR-base, United Kingdom Biobank, IIBDGC for making the GWAS summary data publicly available, and grateful to all the researchers and participants who contributed to those studies.</p>
</ack>
<sec sec-type="COI-statement" id="sec21">
<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="sec100" 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>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="http://www.mibiogen.org" ext-link-type="uri">www.mibiogen.org</ext-link></p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="ref1">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Adak</surname> <given-names>A.</given-names></name> <name><surname>Khan</surname> <given-names>M. R.</given-names></name></person-group> (<year>2019</year>). <article-title>An insight into gut microbiota and its functionalities</article-title>. <source>Cell. Mol. Life Sci.</source> <volume>76</volume>, <fpage>473</fpage>&#x2013;<lpage>493</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00018-018-2943-4</pub-id></citation>
</ref>
<ref id="ref2">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alou</surname> <given-names>M. T.</given-names></name> <name><surname>Ndongo</surname> <given-names>S.</given-names></name> <name><surname>Fr&#x00E9;g&#x00E8;re</surname> <given-names>L.</given-names></name> <name><surname>Labas</surname> <given-names>N.</given-names></name> <name><surname>Andrieu</surname> <given-names>C.</given-names></name> <name><surname>Richez</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Taxonogenomic description of four new Clostridium species isolated from human gut: 'Clostridium amazonitimonense', 'Clostridium merdae', 'Clostridium massilidielmoense' and 'Clostridium nigeriense'</article-title>. <source>New Microbes New Infect</source> <volume>21</volume>, <fpage>128</fpage>&#x2013;<lpage>139</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nmni.2017.11.003</pub-id>, PMID: <pub-id pub-id-type="pmid">29348922</pub-id></citation>
</ref>
<ref id="ref3">
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Birney</surname> <given-names>E.</given-names></name>
</person-group> (<year>2021</year>). <article-title>Mendelian Randomization</article-title>. <source>Cold Spring Harb. Perspect. Med.</source> <volume>12</volume>:<fpage>41302</fpage>. doi: <pub-id pub-id-type="doi">10.1101/cshperspect.a041302</pub-id>, PMID: <pub-id pub-id-type="pmid">34872952</pub-id></citation>
</ref>
<ref id="ref4">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burgess</surname> <given-names>S.</given-names></name> <name><surname>Small</surname> <given-names>D. S.</given-names></name> <name><surname>Thompson</surname> <given-names>S. G.</given-names></name></person-group> (<year>2017</year>). <article-title>A review of instrumental variable estimators for Mendelian randomization</article-title>. <source>Stat. Methods Med. Res.</source> <volume>26</volume>, <fpage>2333</fpage>&#x2013;<lpage>2355</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0962280215597579</pub-id>, PMID: <pub-id pub-id-type="pmid">26282889</pub-id></citation>
</ref>
<ref id="ref5">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chattopadhyay</surname> <given-names>I.</given-names></name> <name><surname>Gundamaraju</surname> <given-names>R.</given-names></name> <name><surname>Rajeev</surname> <given-names>A.</given-names></name></person-group> (<year>2023</year>). <article-title>Diversification and deleterious role of microbiome in gastric cancer</article-title>. <source>Cancer Rep (Hoboken)</source> <volume>6</volume>:<fpage>e1878</fpage>. doi: <pub-id pub-id-type="doi">10.1002/cnr2.1878</pub-id>, PMID: <pub-id pub-id-type="pmid">37530125</pub-id></citation>
</ref>
<ref id="ref6">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>C.</given-names></name> <name><surname>Chen</surname> <given-names>L.</given-names></name> <name><surname>Lin</surname> <given-names>L.</given-names></name> <name><surname>Jin</surname> <given-names>D.</given-names></name> <name><surname>du</surname> <given-names>Y.</given-names></name> <name><surname>Lyu</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Research progress on gut microbiota in patients with gastric cancer, esophageal cancer, and small intestine cancer</article-title>. <source>Appl. Microbiol. Biotechnol.</source> <volume>105</volume>, <fpage>4415</fpage>&#x2013;<lpage>4425</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00253-021-11358-z</pub-id>, PMID: <pub-id pub-id-type="pmid">34037843</pub-id></citation>
</ref>
<ref id="ref7">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>B.</given-names></name> <name><surname>Wei</surname> <given-names>Y.</given-names></name> <name><surname>Kuang</surname> <given-names>D. M.</given-names></name></person-group> (<year>2021</year>). <article-title>Influence of gut and intratumoral microbiota on the immune microenvironment and anti-cancer therapy</article-title>. <source>Pharmacol. Res.</source> <volume>174</volume>:<fpage>105966</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2021.105966</pub-id>, PMID: <pub-id pub-id-type="pmid">34728366</pub-id></citation>
</ref>
<ref id="ref8">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Collatuzzo</surname> <given-names>G.</given-names></name> <name><surname>Pelucchi</surname> <given-names>C.</given-names></name> <name><surname>Negri</surname> <given-names>E.</given-names></name> <name><surname>L&#x00F3;pez-Carrillo</surname> <given-names>L.</given-names></name> <name><surname>Tsugane</surname> <given-names>S.</given-names></name> <name><surname>Hidaka</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Exploring the interactions between <italic>Helicobacter pylori</italic> (Hp) infection and other risk factors of gastric cancer: a pooled analysis in the stomach cancer pooling (StoP) project</article-title>. <source>Int. J. Cancer</source> <volume>149</volume>, <fpage>1228</fpage>&#x2013;<lpage>1238</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ijc.33678</pub-id>, PMID: <pub-id pub-id-type="pmid">33990950</pub-id></citation>
</ref>
<ref id="ref9">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cullin</surname> <given-names>N.</given-names></name> <name><surname>Azevedo Antunes</surname> <given-names>C.</given-names></name> <name><surname>Straussman</surname> <given-names>R.</given-names></name> <name><surname>Stein-Thoeringer</surname> <given-names>C. K.</given-names></name> <name><surname>Elinav</surname> <given-names>E.</given-names></name></person-group> (<year>2021</year>). <article-title>Microbiome and cancer</article-title>. <source>Cancer Cell</source> <volume>39</volume>, <fpage>1317</fpage>&#x2013;<lpage>1341</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ccell.2021.08.006</pub-id></citation>
</ref>
<ref id="ref10">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Das</surname> <given-names>S.</given-names></name> <name><surname>Suarez</surname> <given-names>G.</given-names></name> <name><surname>Beswick</surname> <given-names>E. J.</given-names></name> <name><surname>Sierra</surname> <given-names>J. C.</given-names></name> <name><surname>Graham</surname> <given-names>D. Y.</given-names></name> <name><surname>Reyes</surname> <given-names>V. E.</given-names></name></person-group> (<year>2006</year>). <article-title>Expression of B7-H1 on gastric epithelial cells: its potential role in regulating T cells during <italic>Helicobacter pylori</italic> infection</article-title>. <source>J. Immunol.</source> <volume>176</volume>, <fpage>3000</fpage>&#x2013;<lpage>3009</lpage>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.176.5.3000</pub-id>, PMID: <pub-id pub-id-type="pmid">16493058</pub-id></citation>
</ref>
<ref id="ref11">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Devi</surname> <given-names>T. B.</given-names></name> <name><surname>Devadas</surname> <given-names>K.</given-names></name> <name><surname>George</surname> <given-names>M.</given-names></name> <name><surname>Gandhimathi</surname> <given-names>A.</given-names></name> <name><surname>Chouhan</surname> <given-names>D.</given-names></name> <name><surname>Retnakumar</surname> <given-names>R. J.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Low Bifidobacterium abundance in the lower gut microbiota is associated with <italic>Helicobacter pylori</italic>-related gastric ulcer and gastric Cancer</article-title>. <source>Front. Microbiol.</source> <volume>12</volume>:<fpage>631140</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fmicb.2021.631140</pub-id>, PMID: <pub-id pub-id-type="pmid">33717022</pub-id></citation>
</ref>
<ref id="ref12">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ding</surname> <given-names>Q. Y.</given-names></name> <name><surname>Tian</surname> <given-names>J. X.</given-names></name> <name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Lian</surname> <given-names>F. M.</given-names></name> <name><surname>Zhao</surname> <given-names>L. H.</given-names></name> <name><surname>Wei</surname> <given-names>X. X.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Interactions between therapeutics for metabolic disease, cardiovascular risk factors, and gut microbiota</article-title>. <source>Front. Cell. Infect. Microbiol.</source> <volume>10</volume>:<fpage>530160</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2020.530160</pub-id>, PMID: <pub-id pub-id-type="pmid">33194785</pub-id></citation>
</ref>
<ref id="ref13">
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Garrett</surname> <given-names>W. S.</given-names></name>
</person-group> (<year>2015</year>). <article-title>Cancer and the microbiota</article-title>. <source>Science</source> <volume>348</volume>, <fpage>80</fpage>&#x2013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aaa4972</pub-id>, PMID: <pub-id pub-id-type="pmid">25838377</pub-id></citation>
</ref>
<ref id="ref14">
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Hamashima</surname> <given-names>C.</given-names></name>
</person-group> (<year>2020</year>). <article-title>The burden of gastric cancer</article-title>. <source>Ann Transl Med</source> <volume>8</volume>:<fpage>734</fpage>. doi: <pub-id pub-id-type="doi">10.21037/atm.2020.03.166</pub-id>, PMID: <pub-id pub-id-type="pmid">32647659</pub-id></citation>
</ref>
<ref id="ref15">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hou</surname> <given-names>X.</given-names></name> <name><surname>Zheng</surname> <given-names>Z.</given-names></name> <name><surname>Wei</surname> <given-names>J.</given-names></name> <name><surname>Zhao</surname> <given-names>L.</given-names></name></person-group> (<year>2022</year>). <article-title>Effects of gut microbiota on immune responses and immunotherapy in colorectal cancer</article-title>. <source>Front. Immunol.</source> <volume>13</volume>:<fpage>1030745</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2022.1030745</pub-id>, PMID: <pub-id pub-id-type="pmid">36426359</pub-id></citation>
</ref>
<ref id="ref16">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>Y. L.</given-names></name> <name><surname>Pang</surname> <given-names>W.</given-names></name> <name><surname>Huang</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>C. J.</given-names></name></person-group> (<year>2018</year>). <article-title>The gastric microbiome is perturbed in advanced gastric adenocarcinoma identified through shotgun metagenomics</article-title>. <source>Front. Cell. Infect. Microbiol.</source> <volume>8</volume>:<fpage>433</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2018.00433</pub-id>, PMID: <pub-id pub-id-type="pmid">30619779</pub-id></citation>
</ref>
<ref id="ref17">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Iino</surname> <given-names>C.</given-names></name> <name><surname>Shimoyama</surname> <given-names>T.</given-names></name></person-group> (<year>2021</year>). <article-title>Impact of <italic>Helicobacter pylori</italic> infection on gut microbiota</article-title>. <source>World J. Gastroenterol.</source> <volume>27</volume>, <fpage>6224</fpage>&#x2013;<lpage>6230</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v27.i37.6224</pub-id>, PMID: <pub-id pub-id-type="pmid">34712028</pub-id></citation>
</ref>
<ref id="ref18">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Legoux</surname> <given-names>F.</given-names></name> <name><surname>Bellet</surname> <given-names>D.</given-names></name> <name><surname>Daviaud</surname> <given-names>C.</given-names></name> <name><surname>el Morr</surname> <given-names>Y.</given-names></name> <name><surname>Darbois</surname> <given-names>A.</given-names></name> <name><surname>Niort</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Microbial metabolites control the thymic development of mucosal-associated invariant T cells</article-title>. <source>Science</source> <volume>366</volume>, <fpage>494</fpage>&#x2013;<lpage>499</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aaw2719</pub-id>, PMID: <pub-id pub-id-type="pmid">31467190</pub-id></citation>
</ref>
<ref id="ref19">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Machlowska</surname> <given-names>J.</given-names></name> <name><surname>Baj</surname> <given-names>J.</given-names></name> <name><surname>Sitarz</surname> <given-names>M.</given-names></name> <name><surname>Maciejewski</surname> <given-names>R.</given-names></name> <name><surname>Sitarz</surname> <given-names>R.</given-names></name></person-group> (<year>2020</year>). <article-title>Gastric Cancer: epidemiology, risk factors, classification, genomic characteristics and treatment strategies</article-title>. <source>Int. J. Mol. Sci.</source> <volume>21</volume>:<fpage>4012</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms21114012</pub-id>, PMID: <pub-id pub-id-type="pmid">32512697</pub-id></citation>
</ref>
<ref id="ref20">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mendes-Rocha</surname> <given-names>M.</given-names></name> <name><surname>Pereira-Marques</surname> <given-names>J.</given-names></name> <name><surname>Ferreira</surname> <given-names>R. M.</given-names></name> <name><surname>Figueiredo</surname> <given-names>C.</given-names></name></person-group> (<year>2023</year>). <article-title>Gastric Cancer: the microbiome beyond <italic>Helicobacter pylori</italic></article-title>. <source>Curr. Top. Microbiol. Immunol.</source> <volume>444</volume>, <fpage>157</fpage>&#x2013;<lpage>184</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-031-47331-9_6</pub-id></citation>
</ref>
<ref id="ref21">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname> <given-names>C.</given-names></name> <name><surname>Bai</surname> <given-names>C.</given-names></name> <name><surname>Brown</surname> <given-names>T. D.</given-names></name> <name><surname>Hood</surname> <given-names>L. E.</given-names></name> <name><surname>Tian</surname> <given-names>Q.</given-names></name></person-group> (<year>2018</year>). <article-title>Human gut microbiota and gastrointestinal Cancer</article-title>. <source>Genomics Proteomics Bioinformatics</source> <volume>16</volume>, <fpage>33</fpage>&#x2013;<lpage>49</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.gpb.2017.06.002</pub-id>, PMID: <pub-id pub-id-type="pmid">29474889</pub-id></citation>
</ref>
<ref id="ref22">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mirzaei</surname> <given-names>R.</given-names></name> <name><surname>Afaghi</surname> <given-names>A.</given-names></name> <name><surname>Babakhani</surname> <given-names>S.</given-names></name> <name><surname>Sohrabi</surname> <given-names>M. R.</given-names></name> <name><surname>Hosseini-Fard</surname> <given-names>S. R.</given-names></name> <name><surname>Babolhavaeji</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Role of microbiota-derived short-chain fatty acids in cancer development and prevention</article-title>. <source>Biomed. Pharmacother.</source> <volume>139</volume>:<fpage>111619</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2021.111619</pub-id>, PMID: <pub-id pub-id-type="pmid">33906079</pub-id></citation>
</ref>
<ref id="ref23">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nasr</surname> <given-names>R.</given-names></name> <name><surname>Shamseddine</surname> <given-names>A.</given-names></name> <name><surname>Mukherji</surname> <given-names>D.</given-names></name> <name><surname>Nassar</surname> <given-names>F.</given-names></name> <name><surname>Temraz</surname> <given-names>S.</given-names></name></person-group> (<year>2020</year>). <article-title>The crosstalk between microbiome and immune response in gastric Cancer</article-title>. <source>Int. J. Mol. Sci.</source> <volume>21</volume>:<fpage>6586</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms21186586</pub-id>, PMID: <pub-id pub-id-type="pmid">32916853</pub-id></citation>
</ref>
<ref id="ref24">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Papadimitriou</surname> <given-names>N.</given-names></name> <name><surname>Dimou</surname> <given-names>N.</given-names></name> <name><surname>Tsilidis</surname> <given-names>K. K.</given-names></name> <name><surname>Banbury</surname> <given-names>B.</given-names></name> <name><surname>Martin</surname> <given-names>R. M.</given-names></name> <name><surname>Lewis</surname> <given-names>S. J.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis</article-title>. <source>Nat. Commun.</source> <volume>11</volume>:<fpage>597</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-14389-8</pub-id>, PMID: <pub-id pub-id-type="pmid">32001714</pub-id></citation>
</ref>
<ref id="ref25">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Peng</surname> <given-names>R.</given-names></name> <name><surname>Liu</surname> <given-names>S.</given-names></name> <name><surname>You</surname> <given-names>W.</given-names></name> <name><surname>Huang</surname> <given-names>Y.</given-names></name> <name><surname>Hu</surname> <given-names>C.</given-names></name> <name><surname>Gao</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Gastric microbiome alterations are associated with decreased CD8+ tissue-resident memory T cells in the tumor microenvironment of gastric Cancer</article-title>. <source>Cancer Immunol. Res.</source> <volume>10</volume>, <fpage>1224</fpage>&#x2013;<lpage>1240</lpage>. doi: <pub-id pub-id-type="doi">10.1158/2326-6066.CIR-22-0107</pub-id>, PMID: <pub-id pub-id-type="pmid">35881964</pub-id></citation>
</ref>
<ref id="ref26">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qi</surname> <given-names>Y. F.</given-names></name> <name><surname>Sun</surname> <given-names>J. N.</given-names></name> <name><surname>Ren</surname> <given-names>L. F.</given-names></name> <name><surname>Cao</surname> <given-names>X. L.</given-names></name> <name><surname>Dong</surname> <given-names>J. H.</given-names></name> <name><surname>Tao</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Intestinal microbiota is altered in patients with gastric Cancer from Shanxi Province</article-title>. <source>China. Dig. Dis. Sci.</source> <volume>64</volume>, <fpage>1193</fpage>&#x2013;<lpage>1203</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10620-018-5411-y</pub-id>, PMID: <pub-id pub-id-type="pmid">30535886</pub-id></citation>
</ref>
<ref id="ref27">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sarhadi</surname> <given-names>V.</given-names></name> <name><surname>Mathew</surname> <given-names>B.</given-names></name> <name><surname>Kokkola</surname> <given-names>A.</given-names></name> <name><surname>Karla</surname> <given-names>T.</given-names></name> <name><surname>Tikkanen</surname> <given-names>M.</given-names></name> <name><surname>Rautelin</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Gut microbiota of patients with different subtypes of gastric cancer and gastrointestinal stromal tumors</article-title>. <source>Gut Pathog.</source> <volume>13</volume>:<fpage>11</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13099-021-00403-x</pub-id>, PMID: <pub-id pub-id-type="pmid">33596997</pub-id></citation>
</ref>
<ref id="ref28">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sekula</surname> <given-names>P.</given-names></name> <name><surname>del Greco M</surname> <given-names>F.</given-names></name> <name><surname>Pattaro</surname> <given-names>C.</given-names></name> <name><surname>K&#x00F6;ttgen</surname> <given-names>A.</given-names></name></person-group> (<year>2016</year>). <article-title>Mendelian randomization as an approach to assess causality using observational data</article-title>. <source>J. Am. Soc. Nephrol.</source> <volume>27</volume>, <fpage>3253</fpage>&#x2013;<lpage>3265</lpage>. doi: <pub-id pub-id-type="doi">10.1681/ASN.2016010098</pub-id>, PMID: <pub-id pub-id-type="pmid">27486138</pub-id></citation>
</ref>
<ref id="ref29">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spring</surname> <given-names>S.</given-names></name> <name><surname>Merkhoffer</surname> <given-names>B.</given-names></name> <name><surname>Weiss</surname> <given-names>N.</given-names></name> <name><surname>Kroppenstedt</surname> <given-names>R. M.</given-names></name> <name><surname>Hippe</surname> <given-names>H.</given-names></name> <name><surname>Stackebrandt</surname> <given-names>E.</given-names></name></person-group> (<year>2003</year>). <article-title>Characterization of novel psychrophilic clostridia from an Antarctic microbial mat: description of <italic>Clostridium frigoris</italic> sp. nov., <italic>Clostridium lacusfryxellense</italic> sp. nov., <italic>Clostridium bowmanii</italic> sp. nov. and <italic>Clostridium psychrophilum</italic> sp. nov. and reclassification of <italic>Clostridium laramiense</italic> as <italic>Clostridium estertheticum</italic> subsp. laramiense subsp. nov</article-title>. <source>Int. J. Syst. Evol. Microbiol.</source> <volume>53</volume>, <fpage>1019</fpage>&#x2013;<lpage>1029</lpage>. doi: <pub-id pub-id-type="doi">10.1099/ijs.0.02554-0</pub-id>, PMID: <pub-id pub-id-type="pmid">12892121</pub-id></citation>
</ref>
<ref id="ref30">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sung</surname> <given-names>H.</given-names></name> <name><surname>Ferlay</surname> <given-names>J.</given-names></name> <name><surname>Siegel</surname> <given-names>R. L.</given-names></name> <name><surname>Laversanne</surname> <given-names>M.</given-names></name> <name><surname>Soerjomataram</surname> <given-names>I.</given-names></name> <name><surname>Jemal</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>CA Cancer J. Clin.</source> <volume>71</volume>, <fpage>209</fpage>&#x2013;<lpage>249</lpage>. doi: <pub-id pub-id-type="doi">10.3322/caac.21660</pub-id>, PMID: <pub-id pub-id-type="pmid">33538338</pub-id></citation>
</ref>
<ref id="ref31">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>M.</given-names></name> <name><surname>Yang</surname> <given-names>G.</given-names></name> <name><surname>Tian</surname> <given-names>Y.</given-names></name> <name><surname>Zhang</surname> <given-names>Q.</given-names></name> <name><surname>Liu</surname> <given-names>Z.</given-names></name> <name><surname>Xin</surname> <given-names>Y.</given-names></name></person-group> (<year>2023</year>). <article-title>The role of the gut microbiota in gastric cancer: the immunoregulation and immunotherapy</article-title>. <source>Front. Immunol.</source> <volume>14</volume>:<fpage>1183331</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2023.1183331</pub-id>, PMID: <pub-id pub-id-type="pmid">37457738</pub-id></citation>
</ref>
<ref id="ref32">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>D.</given-names></name> <name><surname>Zhang</surname> <given-names>T.</given-names></name> <name><surname>Lu</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>C.</given-names></name> <name><surname>Wu</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title><italic>Helicobacter pylori</italic> infection affects the human gastric microbiome, as revealed by metagenomic sequencing</article-title>. <source>FEBS Open Bio</source> <volume>12</volume>, <fpage>1188</fpage>&#x2013;<lpage>1196</lpage>. doi: <pub-id pub-id-type="doi">10.1002/2211-5463.13390</pub-id>, PMID: <pub-id pub-id-type="pmid">35243810</pub-id></citation>
</ref>
<ref id="ref33">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>M.</given-names></name> <name><surname>Wan</surname> <given-names>X.</given-names></name> <name><surname>Zheng</surname> <given-names>H.</given-names></name> <name><surname>Xu</surname> <given-names>K.</given-names></name> <name><surname>Xie</surname> <given-names>J.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>No evidence of a genetic causal relationship between ankylosing spondylitis and gut microbiota: a two-sample Mendelian randomization study</article-title>. <source>Nutrients</source> <volume>15</volume>:<fpage>1057</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu15041057</pub-id></citation>
</ref>
<ref id="ref34">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>C.</given-names></name> <name><surname>Bisseling</surname> <given-names>T. M.</given-names></name> <name><surname>van der Post</surname> <given-names>R. S.</given-names></name> <name><surname>Boleij</surname> <given-names>A.</given-names></name></person-group> (<year>2024</year>). <article-title>The influence of <italic>Helicobacter pylori</italic>, proton pump inhibitor, and obesity on the gastric microbiome in relation to gastric cancer development</article-title>. <source>Comput. Struct. Biotechnol. J.</source> <volume>23</volume>, <fpage>186</fpage>&#x2013;<lpage>198</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.csbj.2023.11.053</pub-id>, PMID: <pub-id pub-id-type="pmid">38075398</pub-id></citation>
</ref>
</ref-list>
</back>
</article>