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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.2025.1525609</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of enterotoxigenic <italic>Bacteroides fragilis</italic> in patients with colorectal cancer: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xia</surname>
<given-names>Shijun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1447161"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<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">
<name>
<surname>Ma</surname>
<given-names>Lijuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2712585"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2851627"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Linchong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Anus &amp; Intestine Surgery, Shenzhen Hospital (Fu Tian) of Guangzhou University of Chinese Medicine</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Anus &amp; Intestine Surgery, Shenzhen Traditional Chinese Medicine Anorectal Hospital (Fu tian)</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>State Key Laboratory of Traditional Chinese Medicine Syndrome/Research Group of Standardization of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine)</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Momchilo Vuyisich, Viome Life Sciences, Inc., United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sanjeev Dahal, ProdermIQ, United States</p>
<p>Esther Miller, Tufts University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hui Li, <email xlink:href="mailto:lihuitcm@126.com">lihuitcm@126.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1525609</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Xia, Ma, Li, Li and Yu</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Xia, Ma, Li, Li and Yu</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>
<title>Introduction</title>
<p>The gut microbiome, specifically enterotoxigenic <italic>Bacteroides fragilis</italic> (ETBF), has been reported to play a role in colorectal cancer development. We aimed to conduct a systematic review and meta-analysis of published studies to compare the prevalence of ETBF in patients with colorectal cancer and healthy controls as well as in various stages of colorectal cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>PubMed, EMBASE, and The Cochrane Library were systematically searched for studies published until May 2024. We utilized studies either comparing the prevalence of ETBF in patients with colorectal cancer and healthy control or examining its prevalence across different stages of colorectal cancer. The prevalence of ETBF colonization in biological samples from individuals with colorectal cancer compared to that in healthy controls or adjacent normal tissue as well as the association between the prevalence of ETBF and various stages of colorectal cancer were plotted using a random-effect or fixed-effect model.</p>
</sec>
<sec>
<title>Results</title>
<p>Fourteen relevant articles were identified. Meta-analyses revealed that patients with colorectal cancer had a higher likelihood of having ETBF than healthy controls (odds ratio [OR]: 2.54, 95% confidence interval [CI]: 1.63&#x2013;3.98, I<sup>2</sup> = 55%). Additionally, ETBF detection was lower in stage I/II than in stage III/IV colorectal cancer (OR: 0.61, 95% CI: 0.41&#x2013;0.91, I<sup>2</sup> = 41%).</p>
</sec>
<sec>
<title>Discussion</title>
<p>The prevalence of ETBF was consistently higher in the tissue and fecal samples of patients with colorectal cancer than in those of controls. A difference in ETBF prevalence between stage I/II and stage III/IV colorectal cancer was noted, but further analysis revealed that the conclusion is unreliable.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier CRD 42024548325.</p>
</sec>
</abstract>
<kwd-group>
<kwd>enterotoxigenic <italic>Bacteroides fragilis</italic>
</kwd>
<kwd>colorectal cancer</kwd>
<kwd>prevalence</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="9"/>
<word-count count="3562"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Intestinal Microbiome</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) is the third most commonly diagnosed cancer in both men and women and the second leading cause of cancer-related deaths worldwide (<xref ref-type="bibr" rid="B30">Sung et&#xa0;al., 2021</xref>). The vast majority of CRC cases (1.9 million cases per year) are sporadic and can be attributed to various environmental factors (<xref ref-type="bibr" rid="B9">Islami et&#xa0;al., 2018</xref>). Cancer incidence in the large intestine is estimated to be 12-fold higher than that in the small intestine, which has been partially attributed to the greater bacterial density in the large intestine (<xref ref-type="bibr" rid="B29">Sun and Kato, 2016</xref>). In addition to host genetic factors, the gut microbiota plays an important role in CRC. An imbalance in the normal intestinal microbiota can promote chronic inflammation and carcinogenic metabolite production, ultimately leading to neoplasia (<xref ref-type="bibr" rid="B18">Marchesi et&#xa0;al., 2011</xref>).</p>
<p>Several bacterial species, including <italic>Helicobacter pylori</italic>, <italic>Escherichia coli</italic>, <italic>Bacteroides fragilis</italic>, <italic>Salmonella enterica</italic>, and <italic>Fusobacterium nucleatum</italic>, have been implicated in the development of CRC (<xref ref-type="bibr" rid="B29">Sun and Kato, 2016</xref>). A meta-analysis revealed a consistent increase in the prevalence of <italic>F. nucleatum</italic> in the tissue and fecal samples of patients with CRC compared to controls. Moreover, a high abundance of <italic>F. nucleatum</italic> in colorectal tumors was associated with poorer overall survival (<xref ref-type="bibr" rid="B6">Gethings-Behncke et&#xa0;al., 2020</xref>).</p>
<p>The anaerobe <italic>B. fragilis</italic> is a colonic symbiote that prefers mucosal colonization and accounts for only a small proportion of fecal microbiota (approximately 0.5%&#x2013;1%). There are two molecular subtypes, nontoxigenic <italic>B. fragilis</italic> (NTBF) and enterotoxigenic <italic>B. fragilis</italic> (ETBF). According to some studies, ETBF is associated with both colitis and CRC (<xref ref-type="bibr" rid="B3">Basset et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B31">Toprak et&#xa0;al., 2006a</xref>; <xref ref-type="bibr" rid="B5">Dadgar-Zankbar et&#xa0;al., 2023</xref>). A review summarizes existing evidence for the association between ETBF and CRC as well as the current state of knowledge about the molecular mechanisms by which the <italic>B. fragilis</italic> toxin (BFT) influences the etiology of CRC (<xref ref-type="bibr" rid="B25">Scott et&#xa0;al., 2022</xref>). However, despite the increasing research on the relationship between ETBF and CRC, its role in the development of colorectal cancer remains largely uncertain (<xref ref-type="bibr" rid="B35">Zamani et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Oliero et&#xa0;al., 2022</xref>). To our knowledge, no systematic reviews with meta-analyses have fully investigated the potential role of ETBF in CRC development.</p>
<p>This systematic review and meta-analyses of the published scientific literature aimed to assess (1) the prevalence of ETBF colonization in biological samples from individuals with CRC compared to healthy controls or adjacent normal tissues and (2) the relationship between the prevalence of ETBF and various stages of CRC.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Protocol and guidance</title>
<p>This study was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines (<xref ref-type="bibr" rid="B17">Liberati et&#xa0;al., 2009</xref>). The review protocol has been registered with PROSPERO (CRD 42024548325). The need for ethical approval or informed consent was waived in this study.</p>
</sec>
<sec id="s2_2">
<title>Search strategy</title>
<p>Following recommendations of the Meta-analysis of Observational Studies in Epidemiology group (<xref ref-type="bibr" rid="B28">Stroup et&#xa0;al., 2000</xref>), we searched the following electronic databases for studies written in English from their inception until May 15, 2024: PubMed, Embase, and The Cochrane Library. The following search terms were used: (&#x201c;colorectal&#x201d; or &#x201c;colon&#x201d; or &#x201c;rectal&#x201d;) and (&#x201c;<italic>Bacteroides fragilis</italic>&#x201d; or &#x201c;<italic>B. fragilis</italic>&#x201d; or &#x201c;enterotoxigenic <italic>B. fragilis</italic>&#x201d; or &#x201c;enterotoxigenic <italic>Bacteroides fragilis</italic>&#x201d; or &#x201c;ETBF&#x201d;). The search strategy was implemented by combining index words with free text keywords. In addition, the reference lists in these articles were reviewed to include more comprehensive studies.</p>
</sec>
<sec id="s2_3">
<title>Inclusion and exclusion criteria</title>
<p>Study selection was performed independently, in duplicate, by two reviewers (SJX, LJM), with discrepancies resolved by a third reviewer (YL), using two levels of study screening.</p>
<p>Inclusion criteria were as follows: (1) cohort studies, (2) human studies, (3) studies involving patients with CRC, and (3) studies reporting the prevalence of ETBF in any biological sample.</p>
<p>Exclusion criteria were as follows: (1) studies involving participants with malignancies other than CRC, (2) those only recruiting patients with <italic>B. fragilis</italic> but no ETBF, and (3) those that could not obtain or calculate relevant data.</p>
<p>Furthermore, if duplicate articles were derived from the same or overlapping patient population, only the most recent and/or complete one was included in the meta-analysis. When there were multiple groups of useful data in the same article, only the data from the group with the largest sample size was used for the analysis.</p>
</sec>
<sec id="s2_4">
<title>Data extraction and quality assessment</title>
<p>Data extraction was conducted independently, by two reviewers (SJX, LCY), with discrepancies resolved by a third reviewer (HL). The data included were authors, year of publication, study location, study design, ETBF detection method, sample type (tissue or fecal), participant status (patients with CRC or healthy controls), number of samples, and prevalence of ETBF in each sample.</p>
<p>Study quality was assessed using the Newcastle Ottawa Scale. Our meta-analysis categorized the study quality as good (&#x2265;7 stars), fair (4&#x2013;6 stars), or poor (&lt;4 stars).</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Regarding the prevalence of ETBF, meta-analyses were used to determine the pooled odds ratios (ORs) (the definition is provided in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Data Sheet 1</bold>
</xref>) and corresponding 95% confidence intervals (CIs) of ETBF prevalence in tissue and fecal samples, respectively, using published ORs, proportions, or numbers.</p>
<p>Review Manager version 5.3 (North Cochrane Center, Cochrane Collaboration, London, UK) was used to analyze data. Based on I<sup>2</sup> values (the definition is provided in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Data Sheet 1</bold>
</xref>), four categories of heterogeneity were established: no heterogeneity (I<sup>2</sup> &lt; 25%), low heterogeneity (25% &#x2264; I<sup>2</sup> &lt; 50%), moderate heterogeneity (50% &#x2264; I<sup>2</sup> &lt; 75%), and high heterogeneity (I<sup>2</sup> &#x2265; 75%). When the I<sup>2</sup> value was &lt;50%, a fixed-effects model was used, while a random-effects model was used for I<sup>2</sup> &gt; 50%.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>After identifying 2126 references, we excluded 480 duplicate publications and 1595 irrelevant studies, leaving 51 potentially eligible studies (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Finally, 14 cohort studies (<xref ref-type="bibr" rid="B32">Toprak et&#xa0;al., 2006b</xref>; <xref ref-type="bibr" rid="B4">Boleij et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B33">Viljoen et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B11">Keenan et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B8">Haghi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B10">Jasemi et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B35">Zamani et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Khodaverdi et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B23">Piciocchi et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B27">Shariati et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B21">Oliero et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B22">P&#xe9;richon et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Matsumiya et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B36">Zhou et&#xa0;al., 2023</xref>) conducted between 2006 and 2023 were considered for the meta-analysis. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> summarizes the general characteristics of the included studies. A total of 1692 patients were involved in these studies, with trial sizes ranging from 30 to 197 participants. Among these studies, two were from Europe, two from North America, six from West Asia, two from East Asia, one from South Africa, and one from New Zealand. Regarding the sample type, five studies used fecal samples, while nine used tissue samples. The detection method used was real-time polymerase chain reaction (PCR) in two studies, PCR in four studies, and quantitative PCR (qPCR) in eight studies. According to the quality assessment criteria, 11 studies were rated as good quality and 3 as fair quality.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart of the identification of eligible studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1525609-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the included trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">First Author</th>
<th valign="middle" align="center">Country</th>
<th valign="middle" align="center">Study type</th>
<th valign="middle" align="center">Detection method</th>
<th valign="middle" align="center">Sample type</th>
<th valign="middle" align="center">Participant status</th>
<th valign="middle" align="center">Tumor stage</th>
<th valign="middle" align="center">Number of samples</th>
<th valign="middle" align="center">Age/ years</th>
<th valign="middle" align="center">Quality assessment</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B32">Toprak et&#xa0;al. (2006b)</xref>
</td>
<td valign="middle" align="center">Turkey</td>
<td valign="middle" align="center">p</td>
<td valign="middle" align="center">PCR</td>
<td valign="middle" align="center">fecal</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III</td>
<td valign="middle" align="center">73 vs 59</td>
<td valign="middle" align="center">63(24-90)</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B4">Boleij et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">USA</td>
<td valign="middle" align="center">P</td>
<td valign="middle" align="center">PCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">26 vs 37</td>
<td valign="middle" align="center">62(52&#x2013;76)<break/>/62(49&#x2013;66)</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B33">Viljoen et&#xa0;al. (2015)</xref>
</td>
<td valign="middle" align="center">South Africa</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">54</td>
<td valign="middle" align="center">59&#xb1;15.3</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B11">Keenan et&#xa0;al. (2016)</xref>
</td>
<td valign="middle" align="center">New Zealand</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">fecal</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">NR</td>
<td valign="middle" align="center">71 vs 71</td>
<td valign="middle" align="center">72(53-81)<break/>/64(53-80)</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B8">Haghi et&#xa0;al. (2019)</xref>
</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">PCR</td>
<td valign="middle" align="center">fecal</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III</td>
<td valign="middle" align="center">60 vs 60</td>
<td valign="middle" align="center">53(29-90)<break/>/51(33-85)</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B10">Jasemi et&#xa0;al. (2020)</xref>
</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">PCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">NR</td>
<td valign="middle" align="center">31vs31</td>
<td valign="middle" align="center">59.03&#xb1;11.18<break/>/57.35&#xb1;10.79</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B35">Zamani et&#xa0;al. (2020)</xref>
</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">Real-time PCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">NR</td>
<td valign="middle" align="center">26vs52</td>
<td valign="middle" align="center">55(35-78)<break/>/56(42-78)</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B12">Khodaverdi et&#xa0;al. (2021)</xref>
</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">40vs40</td>
<td valign="middle" align="center">56.37(31-86)/60(20-82)</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B23">Piciocchi et&#xa0;al. (2021)</xref>
</td>
<td valign="middle" align="center">Italy</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">NR</td>
<td valign="middle" align="center">29vs162</td>
<td valign="middle" align="center">68(34-85)<break/>/59(22-87)</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B27">Shariati et&#xa0;al. (2021)</xref>
</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">C</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">57&#xb1;11.04</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B21">Oliero et&#xa0;al. (2022)</xref>
</td>
<td valign="middle" align="center">Canada</td>
<td valign="middle" align="center">P</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">fecal</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">94vs62</td>
<td valign="middle" align="center">67 [22&#x2013;91]<break/>/58[24-78]</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B22">P&#xe9;richon et&#xa0;al. (2022)</xref>
</td>
<td valign="middle" align="center">France</td>
<td valign="middle" align="center">P</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">fecal</td>
<td valign="middle" align="center">CRC vs healthy control</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">81vs25</td>
<td valign="middle" align="center">63.5&#xb1;7.9</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B19">Matsumiya et&#xa0;al. (2023)</xref>
</td>
<td valign="middle" align="center">Japan</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">Real-time PCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC</td>
<td valign="middle" align="center">II-III</td>
<td valign="middle" align="center">197</td>
<td valign="middle" align="center">70[40-91]<break/>/71[34-92]</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B36">Zhou et&#xa0;al. (2023)</xref>
</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">R</td>
<td valign="middle" align="center">qPCR</td>
<td valign="middle" align="center">tissue</td>
<td valign="middle" align="center">CRC</td>
<td valign="middle" align="center">I-II-III-IV</td>
<td valign="middle" align="center">92</td>
<td valign="middle" align="center">64.60&#xb1;14.50/65.80&#xb1;10.40</td>
<td valign="middle" align="center">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>R, retrospective study; P, prospective study; C, cross-sectional study; NR, not reported; CRC, colorectal cancer.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Comparison between patients with CRC and healthy controls</title>
<p>Thirteen studies examined the prevalence of ETBF in patients with CRC vs. healthy controls. As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, a meta-analysis of ETBF prevalence indicated that the odds of ETBF detection were higher in patients with CRC than in healthy controls (OR: 2.54, 95% CI: 1.63&#x2013;3.98, I<sup>2</sup> = 55%).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plots of comparison between patients with colorectal cancer and healthy controls.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1525609-g002.tif"/>
</fig>
<p>Subgroup analyses were conducted based on country, sample type, and detection method (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). A significant prevalence of ETBF was noted in both Europe, America, and Oceania region (OR: 1.95, 95% CI: 1.23&#x2013;3.09, I<sup>2</sup> = 7%) and West Asia region (OR: 5.09, 95% CI: 3.06&#x2013;8.47, I<sup>2</sup> = 0%); however, no difference in prevalence was noted between East Asia region (OR: 1.10, 95% CI: 0.47&#x2013;2.55) and southern Africa region (OR: 0.89, 95% CI: 0.38&#x2013;2.08). The results revealed significant associations in both colorectal tissue samples from separate individuals and fecal samples from separate individuals (OR: 4.42, 95% CI: 1.71&#x2013;11.42, I<sup>2</sup> = 60% and OR: 2.69, 95% CI: 1.67&#x2013;4.35, I<sup>2</sup> = 22%), but not in adjacent colorectal tissue samples [OR: 1.07, 95% CI: 1.61&#x2013;1.87, I<sup>2</sup> = 0%]. Regarding the detection method, the results showed a significant association in the use of both PCR and qPCR (OR: 4.95, 95% CI: 2.70&#x2013;9.10, I<sup>2</sup> = 0% and OR: 1.77, 95% CI: 1.13&#x2013;2.79, I<sup>2</sup> = 31%), but not in the use of real-time PCR (OR: 4.11, 95% CI: 0.26&#x2013;65.83, I<sup>2</sup> = 89%).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analysis of colorectal cancer compared to healthy controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Subgroup</th>
<th valign="middle" align="center">No of study</th>
<th valign="middle" align="center">Sample size</th>
<th valign="middle" align="center">Heterogeneity I<sup>2</sup>
</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Country</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Europe, America and Oceania</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">658</td>
<td valign="middle" align="center">7%</td>
<td valign="middle" align="center">1.95(1.23-3.09)</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;West Asia region</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">532</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">5.09(3.06-8.47)</td>
<td valign="middle" align="center">&lt;0.00001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;East Asia region</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">394</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.10(0.47-2.55)</td>
<td valign="middle" align="center">0.83</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Southern Africa region</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">107</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.89(0.38-2.08)</td>
<td valign="middle" align="center">0.78</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Sample type</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Colorectal tissue</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">474</td>
<td valign="middle" align="center">60%</td>
<td valign="middle" align="center">4.42(1.71-11.42)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;fecal</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">656</td>
<td valign="middle" align="center">22%</td>
<td valign="middle" align="center">2.69(1.67-4.35)</td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;adjacent colorectal tissue</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">561</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">1.07(0.61-1.87)</td>
<td valign="middle" align="center">0.81</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Detection method</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PCR</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">377</td>
<td valign="middle" align="center">0%</td>
<td valign="middle" align="center">4.95(2.70-9.10)</td>
<td valign="middle" align="center">&lt;0.00001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;qPCR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">842</td>
<td valign="middle" align="center">31%</td>
<td valign="middle" align="center">1.77(1.13-2.79)</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;real-time PCR</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">472</td>
<td valign="middle" align="center">89%</td>
<td valign="middle" align="center">4.42(1.71-11.42)</td>
<td valign="middle" align="center">0.32</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Comparison between stage I/II CRC and stage III/IV CRC</title>
<p>Eight studies compared the prevalence of ETBF in <bold>s</bold>tage I/II CRC vs. stage III/IV CRC. As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, a meta-analysis assessing ETBF prevalence revealed that the risk of ETBF being detected was lower in stage I/II CRC than in stage III/IV CRC (OR: 0.61, 95% CI: 0.41&#x2013;0.91, I<sup>2</sup> = 41%).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plots of comparison between patients with stage I/II colorectal cancer and stage III/IV colorectal cancer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1525609-g003.tif"/>
</fig>
<p>Subgroup analyses were also conducted based on country, sample type, and detection method (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). There was no significant prevalence of ETBF in Europe (OR: 0.70, 95% CI: 0.27&#x2013;1.81, I<sup>2</sup> = 37%), West Asia region (OR: 0.53, 95% CI: 0.21&#x2013;1.30, I<sup>2</sup> = 43%), and East Asia region (OR: 0.69, 95% CI: 0.13&#x2013;3.77, I<sup>2</sup> = 78%). The findings revealed that the association was not significant in either colorectal tissue or fecal samples (OR: 0.59, 95% CI: 0.32&#x2013;1.09, I<sup>2</sup> = 52% and OR: 0.63, 95% CI: 0.38&#x2013;1.05, I<sup>2</sup> = 46%). The results of the detection method showed that there was no significant association in both the use of qPCR and real-time PCR (OR: 0.63, 95% CI: 0.38&#x2013;1.06, I<sup>2</sup> = 32% and OR: 1.70, 95% CI: 0.49&#x2013;5.84), but there was a significant association with the use of PCR (OR: 0.38, 95% CI: 0.18&#x2013;0.80, I<sup>2</sup> = 44%).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analysis of stage I/II colorectal cancer compared to stage III/IV.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Subgroup</th>
<th valign="middle" align="center">No of study</th>
<th valign="middle" align="center">Sample size</th>
<th valign="middle" align="center">Heterogeneity I<sup>2</sup>
</th>
<th valign="middle" align="center">OR</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Country</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Europe region</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">197</td>
<td valign="middle" align="center">37%</td>
<td valign="middle" align="center">0.70(0.27-1.81)</td>
<td valign="middle" align="center">0.47</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;West Asia region</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">173</td>
<td valign="middle" align="center">43%</td>
<td valign="middle" align="center">0.53(0.21-1.30)</td>
<td valign="middle" align="center">0.16</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;East Asia region</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">289</td>
<td valign="middle" align="center">78%</td>
<td valign="middle" align="center">0.69(0.13-3.77)</td>
<td valign="middle" align="center">0.66</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Sample type</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Colorectal tissue</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">352</td>
<td valign="middle" align="center">52%</td>
<td valign="middle" align="center">0.59(0.32-1.09)</td>
<td valign="middle" align="center">0.09</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;fecal</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">307</td>
<td valign="middle" align="center">46%</td>
<td valign="middle" align="center">0.63(0.38-1.05)</td>
<td valign="middle" align="center">0.07</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Detection method</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PCR</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">156</td>
<td valign="middle" align="center">44%</td>
<td valign="middle" align="center">0.38(0.18-0.80)</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;qPCR</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">306</td>
<td valign="middle" align="center">32%</td>
<td valign="middle" align="center">0.63(0.38-1.06)</td>
<td valign="middle" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;real-time PCR</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">197</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1.70(0.49-5.84)</td>
<td valign="middle" align="center">0.40</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Sensitivity analysis</title>
<p>Sensitivity analysis was performed to assess the stability of the results, which resulted in the removal of one study from the meta-analysis at a time. The results revealed no change in the corresponding merged estimates of comparison between patients with colorectal cancer and healthy controls. <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> presents the results of the sensitivity analysis. The results revealed a change in the corresponding merged estimates of comparison between patients with stage I/II colorectal cancer and stage III/IV colorectal cancer, indicating that two studies influenced the results: Haghi (2019) and Zhou (2023). Further investigation is required to elucidate the discrepancies between these two studies and the remaining six studies to ascertain the underlying causes responsible for this observed influence, which is beyond the scope of this work. <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> presents the results of the sensitivity analysis.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Sensitivity analysis results after removing one study at a time of comparison between patients with colorectal cancer and healthy controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Removed study</th>
<th valign="top" align="center">OR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">I2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B4">Boleij et&#xa0;al. (2015)</xref>
</td>
<td valign="bottom" align="center">2.47</td>
<td valign="bottom" align="center">1.54-3.96</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">58%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B8">Haghi et&#xa0;al. (2019)</xref>
</td>
<td valign="bottom" align="center">2.39</td>
<td valign="bottom" align="center">1.50-3.81</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">55%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B10">Jasemi et&#xa0;al. (2020)</xref>
</td>
<td valign="bottom" align="center">2.39</td>
<td valign="bottom" align="center">1.52-3.75</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">55%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B11">Keenan et&#xa0;al. (2016)</xref>
</td>
<td valign="bottom" align="center">2.50</td>
<td valign="bottom" align="center">1.53-4.07</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">58%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B12">Khodaverdi et&#xa0;al. (2021)</xref>
</td>
<td valign="bottom" align="center">2.42</td>
<td valign="bottom" align="center">1.51-3.88</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">56%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B19">Matsumiya et&#xa0;al. (2023)</xref>
</td>
<td valign="bottom" align="center">2.78</td>
<td valign="bottom" align="center">1.74-4.43</td>
<td valign="bottom" align="center">&lt;0.0001</td>
<td valign="bottom" align="center">53%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B21">Oliero et&#xa0;al. (2022)</xref>
</td>
<td valign="bottom" align="center">2.68</td>
<td valign="bottom" align="center">1.63-4.43</td>
<td valign="bottom" align="center">0.0001</td>
<td valign="bottom" align="center">58%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B22">P&#xe9;richon et&#xa0;al. (2022)</xref>
</td>
<td valign="bottom" align="center">2.70</td>
<td valign="bottom" align="center">1.67-4.37</td>
<td valign="bottom" align="center">&lt;0.0001</td>
<td valign="bottom" align="center">57%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B23">Piciocchi et&#xa0;al. (2021)</xref>
</td>
<td valign="bottom" align="center">2.75</td>
<td valign="bottom" align="center">1.73-4.37</td>
<td valign="bottom" align="center">&lt;0.0001</td>
<td valign="bottom" align="center">55%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B27">Shariati et&#xa0;al. (2021)</xref>
</td>
<td valign="bottom" align="center">2.61</td>
<td valign="bottom" align="center">1.62-4.20</td>
<td valign="bottom" align="center">&lt;0.0001</td>
<td valign="bottom" align="center">59%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B32">Toprak et&#xa0;al. (2006b)</xref>
</td>
<td valign="bottom" align="center">2.43</td>
<td valign="bottom" align="center">1.51-3.91</td>
<td valign="bottom" align="center">0.0002</td>
<td valign="bottom" align="center">56%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B33">Viljoen et&#xa0;al. (2015)</xref>
</td>
<td valign="bottom" align="center">2.82</td>
<td valign="bottom" align="center">1.80-4.40</td>
<td valign="bottom" align="center">&lt;0.00001</td>
<td valign="bottom" align="center">48%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B35">Zamani et&#xa0;al. (2020)</xref>
</td>
<td valign="bottom" align="center">2.26</td>
<td valign="bottom" align="center">1.50-3.40</td>
<td valign="bottom" align="center">0.0001</td>
<td valign="bottom" align="center">45%</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Sensitivity analysis results after removing one study at a time of comparison between patients with stage I/II colorectal cancer and stage III/IV colorectal cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Removed study</th>
<th valign="top" align="center">OR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">I<sup>2</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B4">Boleij et&#xa0;al. (2015)</xref>
</td>
<td valign="bottom" align="center">0.64</td>
<td valign="bottom" align="center">0.43-0.96</td>
<td valign="bottom" align="center">0.03</td>
<td valign="bottom" align="center">42%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B8">Haghi et&#xa0;al. (2019)</xref>
</td>
<td valign="bottom" align="center">0.70</td>
<td valign="bottom" align="center">0.46-1.07</td>
<td valign="bottom" align="center">0.10</td>
<td valign="bottom" align="center">26%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B12">Khodaverdi et&#xa0;al. (2021)</xref>
</td>
<td valign="bottom" align="center">0.59</td>
<td valign="bottom" align="center">0.39-0.89</td>
<td valign="bottom" align="center">0.01</td>
<td valign="bottom" align="center">48%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B19">Matsumiya et&#xa0;al. (2023)</xref>
</td>
<td valign="bottom" align="center">0.54</td>
<td valign="bottom" align="center">0.35-0.82</td>
<td valign="bottom" align="center">0.004</td>
<td valign="bottom" align="center">33%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B21">Oliero et&#xa0;al. (2022)</xref>
</td>
<td valign="bottom" align="center">0.62</td>
<td valign="bottom" align="center">0.41-0.96</td>
<td valign="bottom" align="center">0.03</td>
<td valign="bottom" align="center">49%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B22">P&#xe9;richon et&#xa0;al. (2022)</xref>
</td>
<td valign="bottom" align="center">0.53</td>
<td valign="bottom" align="center">0.35-0.82</td>
<td valign="bottom" align="center">0.004</td>
<td valign="bottom" align="center">36%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B32">Toprak et&#xa0;al. (2006b)</xref>
</td>
<td valign="bottom" align="center">0.59</td>
<td valign="bottom" align="center">0.39-0.90</td>
<td valign="bottom" align="center">0.01</td>
<td valign="bottom" align="center">48%</td>
</tr>
<tr>
<td valign="bottom" align="left">
<xref ref-type="bibr" rid="B36">Zhou et&#xa0;al. (2023)</xref>
</td>
<td valign="bottom" align="center">0.70</td>
<td valign="bottom" align="center">0.46-1.08</td>
<td valign="bottom" align="center">0.11</td>
<td valign="bottom" align="center">36%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Publication bias</title>
<p>
<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref> show funnel plots with scatter points that were generally symmetrical within the CIs, each study was evenly distributed on both sides of the vertical line, indicating that there was no significant publication bias.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Funnel plot diagram of comparison between patients with colorectal cancer and healthy controls.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1525609-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Funnel plot diagram of comparison between patients with stage I/II colorectal cancer and those with stage III/IV colorectal cancer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1525609-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The association between ETBF and CRC has attracted increasing interest. In this first comprehensive systematic review with meta-analyses of published literature, we aimed to investigate the relationship between ETBF and CRC, shedding light on its potential role in CRC development and progression.</p>
<p>Our findings suggest that ETBF is more prevalent in patients with CRC than in healthy controls, particularly in mucosal tissue or fecal samples from different individuals as shown by the subgroup analysis. The included studies revealed that ETBF colonization was more common in patients with CRC (6.1%&#x2013;88.5%) than in healthy controls (3.8%&#x2013;64.9%). This is consistent with previous research suggesting an association between ETBF colonization and CRC pathogenesis (<xref ref-type="bibr" rid="B20">Nouri et&#xa0;al., 2022</xref>). ETBF pathogenicity is attributed to BFT, a 20-kDa zinc-dependent metalloprotease toxin with three isotypes (BFT1, BFT-2, and BFT-3) (<xref ref-type="bibr" rid="B26">Sears, 2009</xref>). BFT binds to a specific colonic epithelial receptor, activating the Wnt and NF-&#x3ba;B signaling pathways, resulting in increased cell proliferation, epithelial release of proinflammatory mediators, and DNA damage (<xref ref-type="bibr" rid="B26">Sears, 2009</xref>; <xref ref-type="bibr" rid="B7">Goodwin et&#xa0;al., 2011</xref>), whereas ETBF promotes tumor formation in experimental animals (<xref ref-type="bibr" rid="B34">Wu et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B7">Goodwin et&#xa0;al., 2011</xref>).</p>
<p>Our analysis suggested that the detection rate of ETBF did not differ significantly between adjacent colorectal tissue samples and CRC tissue samples, but the next conclusion showed significant differences in ETBF prevalence between stage I/II and stage III/IV CRC. A previous study showed that ETBF supports the progression of malignancy as well as tumorigenesis (<xref ref-type="bibr" rid="B13">Kim and Lee, 2022</xref>). This suggests that ETBF may play a role in CRC initiation, and could possibly correlate with disease progression or severity. Therefore, this finding should be confirmed in larger cohorts.</p>
<p>Gut microbiota is a complex ecosystem that evolves in tandem with hosts and is influenced by their physiological environment. The composition and function of gut microbiota are closely associated with dietary habits and regional differences. Human dietary patterns have a direct impact on the abundance and diversity of gut microbiota. Diet is an important modifiable factor influencing the gut microbiome (<xref ref-type="bibr" rid="B14">Leeming et&#xa0;al., 2019</xref>). Furthermore, the proportion of plant-based and animal-based foods in the diet influences gut microbiota composition. The alteration in the abundance and diversity of gut microbiota caused by dietary changes has been associated with colorectal carcinogenesis (<xref ref-type="bibr" rid="B2">Appunni et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Levy et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B24">Rebersek, 2021</xref>; <xref ref-type="bibr" rid="B37">Zygulska and Pierzchalski, 2022</xref>). Moreover, recent research has indicated that transitioning from a traditional to Western diet increases the abundance of CRC-associated bacteria (<xref ref-type="bibr" rid="B1">Ahmad Kendong et&#xa0;al., 2021</xref>). Another study demonstrated that switching from a traditional to Western diet increases the risk of CRC (<xref ref-type="bibr" rid="B15">Le Marchand and Kolonel, 1992</xref>). In our subgroup analysis of comparison between patients with CRC and healthy controls, the findings confirmed that individuals from different regions may have different outcomes due to differences in dietary habits.</p>
<p>These findings have two important implications. First, the increased prevalence of ETBF in the mucosal tissue or fecal samples of patients with CRC suggests that it can be used as a biomarker for CRC screening and diagnosis. Detection of ETBF may serve as an adjunctive tool in existing screening protocols to improve the sensitivity and specificity of CRC detection methods. Second, the consistent detection of ETBF in various stages of CRC highlights the need for additional research to determine its precise role in CRC pathogenesis. Understanding the mechanisms underlying ETBF-induced carcinogenesis may pave the way for targeted therapeutic interventions that disrupt the ETBF&#x2013;CRC axis. However, a limitation is that the small number of studies prevented a formal assessment of publication or reporting bias, which may reduce the robustness of some meta-analyses involving subgroup analyses.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>There is consistent evidence that ETBF is more prevalent in the fecal and tissue samples of patients with CRC than in healthy controls. Further prospective studies into the role of ETBF as a causal factor or predictive biomarker for CRC promotion and development are warranted.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SX: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LM: Conceptualization, Data curation, Formal Analysis, Writing &#x2013; original draft. HL: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &amp; editing. YL: Conceptualization, Data curation, Writing &#x2013; original draft. LY: Conceptualization, Data curation, Writing &#x2013; original draft.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. Funding was received for the construction of key clinical specialties in Futian District, Shenzhen.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank HL, for her generous support during the preparation of this manuscript.</p>
</ack>
<sec id="s9" 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" 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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2025.1525609/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1525609/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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