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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2020.00261</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Risk Ratio of Immune-Related Colitis, Hepatitis, and Pancreatitis in Patients With Solid Tumors Caused by PD-1/PD-L1 Inhibitors: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tian</surname> <given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/776443/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Zewen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Xiaowei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/798618/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Donghua</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zhuoqi</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/825861/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Shuisheng</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/776826/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mao</surname> <given-names>Yantao</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jin</surname> <given-names>Chenxing</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Radiotherapy Oncology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated With Shandong First Medical University</institution>, <addr-line>Jinan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Imaging Medicine and Nuclear Medicine, Qilu Medical College, Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Hepatobiliary Intervention, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Radiotherapy, The People&#x00027;s Hospital of Yuncheng County</institution>, <addr-line>Heze</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Pathology, Zaozhuang Municipal Hospital</institution>, <addr-line>Zaozhuang</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of General Surgery, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Oncology, Yantaishan Hospital of Shandong Province</institution>, <addr-line>Yantai</addr-line>, <country>China</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Oncology, The First Affiliated Hospital of Dalian Medical University</institution>, <addr-line>Dalian</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Catherine Sautes-Fridman, INSERM U1138 Centre de Recherche des Cordeliers, France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Seon Hee Chang, University of Texas MD Anderson Cancer Center, United States; Kawaljit Kaur, University of California, Los Angeles, United States; Kamel Hamzaoui, University Tunis El Manar, Tunisia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yuan Tian <email>tytytianyuan&#x00040;aliyun.com</email>; <email>tytytianyuan&#x00040;bjmu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Oncology</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>02</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>10</volume>
<elocation-id>261</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>02</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2020 Tian, Zhang, Yang, Li, Zhang, Li, Zhang, Mao, Jin and Zhao.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Tian, Zhang, Yang, Li, Zhang, Li, Zhang, Mao, Jin and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p><bold>Purpose:</bold> The meta-analysis was put into practice in evaluating the risk ratio of immune-related digestive system inflammation in patients with solid tumors caused by PD-1/PD-L1 inhibitors.</p>
<p><bold>Method:</bold> The process of the meta-analysis was performed by us according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines.</p>
<p><bold>Results:</bold> After screening and eligibility assessment, a total of 26 clinical trials involving 16,409 patients were selected for the final quantitative synthesis. Immune-related digestive system inflammations, including colitis, hepatitis, pancreatitis, were evaluated separately. Compared with chemotherapy, PD-1/PD-L1 inhibitors led to an increase in the incidence risk of all grade colitis (RR = 2.43, 95% CI: [1.23, 4.82], <italic>P</italic> = 0.01). Similar incidence trend could also be seen when PD-1/PD-L1 inhibitors were combined with chemotherapy (RR = 2.62, 95% CI: [1.25, 5.48], <italic>P</italic> = 0.01). Whether compared with Nivolumab plus Ipilimumab or Ipilimumab alone, the incidence risk of colitis in the Nivolumab group was significantly lower than that of the control group. Similar analysis results could also be seen in the incidence risk of hepatitis. We did not find a statistically significant effect on the incidence of immune-related pancreatitis after the use of PD-1/PD-L1 inhibitors.</p>
<p><bold>Conclusion:</bold> The use of PD-1/PD-L1 inhibitors increased the incidence risk of immune-related colitis and hepatitis, but this potential to increase the incidence risk of the disease was weaker than Ipilimumab.</p></abstract>
<kwd-group>
<kwd>PD-1/PD-L1</kwd>
<kwd>chemotherapy</kwd>
<kwd>immune-related inflammation</kwd>
<kwd>solid tumor</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="12"/>
<word-count count="7375"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Immune-related digestive system inflammation, including colitis, hepatitis, pancreatitis, can be caused by a variety of pathogenic factors, such as genetic abnormality, autoimmune factors, immune-related drugs, viral infections, and so on (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B4">4</xref>). PD-L1(B7-H1) is thought to be involved in the regulation of cellular and humoral immune responses through the PD-1 receptor on activated T and B cells (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). PD-1/PD-L1 inhibitors block the negative regulatory signal by inhibiting the binding of PD-1 and PD-L1, allowing T cells to restore their activity, enhancing immune response, and thereby exerting anti-tumor activity (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>). Satisfactory anti-tumor efficacy had been shown in plenty of clinical trials (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). However, with the increasing clinical application in different kinds of malignant diseases, more and more PD-1/PD-L1 related side toxicity effects had been reported, and immune-related digestive system inflammation was one of them (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>Although the incidence rate of immune-related digestive system inflammation was not as high as myelosuppression, it had an important impact on the quality of patients lives and even the survival prognosis (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). Some of them, such as pancreatitis, might even jeopardize the life of patient if it was neglected in the process of therapy (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Therefore, we should pay enough attention to immune-related gastrointestinal inflammation in clinical work. However, due to the interference from other anti-tumor drugs, we were unable to clearly define the relationship between immune related digestive system inflammation and PD-1/PD-L1 inhibitors (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Furthermore, the combination of PD-1/PD-L1 inhibitors with other anti-tumor immunoassays, such as Ipilimumab, also increased the difficulty for our judgment (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>To investigate the relationship between incidence risk of immune-related digestive system inflammation and PD-1/PD-L1 inhibitors, we performed this meta-analysis.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>The meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<sec>
<title>Search Strategy</title>
<p>The PubMed website was used to identify clinical trials involving PD-1/PD-L1 inhibitors for solid tumor patients. Relevant randomized clinical trials (RCTs), reported from inception to July 31, 2019, were collected by using search keywords and Medical Subject Headings (MeSH) terms pertinent to the intervention of interest, such as cancer, tumor, PD-1/PD-L1, nivolumab, opdivo, pembrolizumab, immune checkpoint inhibitor, Keytruda, Imfinzi, MK-3475, atezolizumab, Tecentriq, MPDL3280A, avelumab, Bavencio, durvalumab, and BMS-963558. Furthermore, some RCTs that could not be found on the PubMed website were obtained by searching and checking references of other systematic reviews, meta-analyses, and conference proceedings of the American Society of Clinical Oncology, the European Society for Medical Oncology, the American Association for Cancer Research, and the World Conference on Cancers.</p>
<p>According to our analysis design, the inclusion criteria were as follows: (1) RCTs would be preferred choices, (2) PD-1/PD-L1 inhibitors were used as an anti-tumor therapy, (3) The treatment regimen of the control group included anti-tumor drugs or placebo, (4) All enrolled patients were diagnosed with solid tumors rather than hematological malignancies, (5) At least one of Immune-related Digestive System Inflammation (colitis, hepatitis, and pancreatitis) was reported, (6) The results of the clinical trials are reported in English or reported in other languages and English.</p>
</sec>
<sec>
<title>Data Extraction</title>
<p>Four investigators (Zewen Zhang, Xiaowei Yang, Donghua Li, Li Zhang) were designated to determine the eligibility and duplicate independently by checking titles and abstracts of enrolled studies. The data categories of enrolled studies were collected as follows: first author, the year of publication, study name and number, treatment regimen, number of evaluable cases, related drug name, phase stage, tumor type, incidence rate of immune-related digestive system inflammation.</p>
<p>Both all-grade and grade 3&#x02013;5 immune-related digestive system inflammation were taken into account for the final comprehensive meta-analysis. The basic characteristics of all enrolled studies would be summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Basic characteristics of the included studies.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>No</bold>.</th>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Study name (NCT number)</bold></th>
<th valign="top" align="left"><bold>Drug name (PD-1/PD-L1)</bold></th>
<th valign="top" align="left"><bold>Treatment regimen</bold></th>
<th valign="top" align="center"><bold>Number of evaluable patients</bold></th>
<th valign="top" align="center"><bold>Previous therapy</bold></th>
<th valign="top" align="center"><bold>Phase</bold></th>
<th valign="top" align="left"><bold>Randomized controlled trial (RCT)</bold></th>
<th valign="top" align="left"><bold>Tumor type</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Rini et al. (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="left">IMmotion151<break/>(NCT02420821)</td>
<td valign="top" align="left">Atezolizumab (PD-L1)</td>
<td valign="top" align="left">Atezolizumab &#x0002B; Bevacizumab vs. Sunitinib</td>
<td valign="top" align="center">897</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Renal Cell Carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Mok et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left">KEYNOTE-042<break/>(NCT02220894)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Chemotherapy</td>
<td valign="top" align="center">1,241</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Hodi et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="left">CheckMate 067<break/>(NCT01844505)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab &#x0002B; Ipilimumab vs. Nivolumab or Ipilimumab</td>
<td valign="top" align="center">937</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Cohen et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">KEYNOTE-040<break/>(NCT02252042)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. (Methotrexate, Docetaxel, or Cetuximab)</td>
<td valign="top" align="center">480</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Head-and-neck Squamous Cell Carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Schmid et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">IMpassion130<break/>(NCT02425891)</td>
<td valign="top" align="left">Atezolizumab (PD-L1)</td>
<td valign="top" align="left">Atezolizumab &#x0002B; Nab-paclitaxel vs. Placeo &#x0002B; Nab-paclitaxel</td>
<td valign="top" align="left">890</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Triple-Negative Breast Cancer</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Horn et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">IMpower133<break/>(NCT02763579)</td>
<td valign="top" align="left">Atezolizumab (PD-L1)</td>
<td valign="top" align="left">Atezolizumab &#x0002B; Carboplatin &#x0002B; Etoposide vs. Placebo &#x0002B; Carboplatin &#x0002B; Etoposide</td>
<td valign="top" align="center">394</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">SCLC</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Socinski et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">IMpower150<break/>(NCT02366143)</td>
<td valign="top" align="left">Atezolizumab (PD-L1)</td>
<td valign="top" align="left">Atezolizumab &#x0002B; BCP vs. Placeo &#x0002B; BCP</td>
<td valign="top" align="center">787</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Metastatic non-squamous NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Paz-Ares et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">KEYNOTE-407<break/>(NCT02775435)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab &#x0002B; Carboplatin &#x0002B; Paclitaxel vs. Placebo &#x0002B; Carboplatin &#x0002B; Paclitaxel</td>
<td valign="top" align="center">558</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Metastatic squamous NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Barlesi et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">JAVELIN Lung 200<break/>(NCT02395172)</td>
<td valign="top" align="left">Avelumab (PD-L1)</td>
<td valign="top" align="left">Avelumab vs. Docetaxel</td>
<td valign="top" align="center">792</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Shitara et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">KEYNOTE-061<break/>(NCT02370498)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Paclitaxel</td>
<td valign="top" align="center">570</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Gastric or gastro-esophageal Junction Cancer</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">Hida et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">NCT02008227</td>
<td valign="top" align="left">Atezolizumab (PD-L1)</td>
<td valign="top" align="left">Atezolizumab vs. Docetaxel</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Locally Advanced/Metastatic NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Eggermont et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">NCT02362594</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Placebo</td>
<td valign="top" align="center">1,009</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Completely resected stage III Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Kang et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">ONO-4538-12, ATTRACTION-2<break/>(NCT02267343)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Placebo</td>
<td valign="top" align="center">491</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Gastric or Gastro-esophageal Junction Cancer</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Wolchok et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">CheckMate 067<break/>(NCT01844505)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Ipilimumab or Nivolumab &#x0002B; Ipilimumab</td>
<td valign="top" align="center">937</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">Schachter et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">KEYNOTE-006<break/>(NCT01866319)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Ipilimumab</td>
<td valign="top" align="center">811</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">Bellmunt et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">KEYNOTE-045<break/>(NCT02256436)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Chemotherapy</td>
<td valign="top" align="center">521</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Urothelial Carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">Reck et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">KEYNOTE-024<break/>(NCT02142738)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Chemotherapy</td>
<td valign="top" align="center">304</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">PD-L1-Positive NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">Ferris et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">CheckMate 141<break/>(NCT02105636)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. (Methotrexate, Docetaxel, or Cetuximab)</td>
<td valign="top" align="center">347</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Recurrent Squamous-Cell Carcinoma of the Head and Neck</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">Antonia et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">CheckMate 032<break/>(NCT01928394)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Nivolumab &#x0002B; Ipilimumab</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">I/II</td>
<td valign="top" align="left">N/A</td>
<td valign="top" align="left">Recurrent SCLC</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">Herbst et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">KEYNOTE-010<break/>(NCT01905657)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab vs. Docetaxel</td>
<td valign="top" align="center">991</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">II/III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="left">Hodi et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">CheckMate 069<break/>(NCT01927419)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">II</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">22</td>
<td valign="top" align="left">Borghaei et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">CheckMate 057<break/>(NCT01673867)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Docetaxel</td>
<td valign="top" align="center">555</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Non-squamous NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">23</td>
<td valign="top" align="left">Brahmer et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">CheckMate 017<break/>(NCT01642004)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Docetaxel</td>
<td valign="top" align="center">260</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Squamous NSCLC</td>
</tr>
<tr>
<td valign="top" align="left">24</td>
<td valign="top" align="left">Weber et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">CheckMate 037<break/>(NCT01721746)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab vs. Chemotherapy</td>
<td valign="top" align="center">631</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Advanced Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">25</td>
<td valign="top" align="left">Larkin et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">CheckMate 067<break/>(NCT01844505)</td>
<td valign="top" align="left">Nivolumab (PD-1)</td>
<td valign="top" align="left">Nivolumab and Ipilimumab vs. Nivolumab or Ipilimumab</td>
<td valign="top" align="center">945</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Unresectable stage III or IV Melanoma</td>
</tr>
<tr>
<td valign="top" align="left">26</td>
<td valign="top" align="left">Gandhi et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">KEYNOTE-189<break/>(NCT02578680)</td>
<td valign="top" align="left">Pembrolizumab (PD-1)</td>
<td valign="top" align="left">Pembrolizumab &#x0002B; chemotherapy vs. Placebo &#x0002B; Chemotherapy</td>
<td valign="top" align="center">607</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">III</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">NSCLC</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>RCT, Randomized controlled trial; BCP, Bevacizumab plus Carboplatin plus Paclitaxel; NSCLC, Non-Small Cell Lung Cancer; PD-1, Programmed Cell Death 1; PD-L1, Programmed Cell Death Ligand 1; SCLC, Small Cell Lung Cancer; CP, Carboplatin plus Paclitaxel; PC, Pemetrexed plus a platinum-based drug; Chemotherapy, Carboplatin plus Pemetrexed, Cisplatin plus Pemetrexed, Carboplatin plus Gemcitabine, Cisplatin plus Gemcitabine, or Carboplatin plus Paclitaxel; N/A, No Available</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Risk Ratio (RR) was used to assess the risk of developing immunological gastrointestinal inflammation. 95% confidence interval (CI) were calculated by random effect (RE). <italic>P</italic> &#x0003C; 0.05 was regarded as statistically significance. Statistical tests were all two-sided. Subgroup analysis would be performed according to the type of tumor, treatment plan, and specific drug name. Cochrane&#x00027;s Q and the <italic>I</italic><sup>2</sup> statistic, proposed by Higgins and colleagues, were used for checking the heterogeneity among enrolled trials (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). <italic>I</italic><sup>2</sup> values &#x0003C;25, 25&#x02013;50, and &#x0003E;50% indicated low, medium and high heterogeneity, respectively. Newcastle-Ottawa scale, Funnel plot and Egger&#x00027;s test were used for assessing the bias of the analysis result (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B42">42</xref>). Four investigators (Zewen Zhang, Xiaowei Yang, Donghua Li, Li Zhang) were appointed to evaluate the quality of all enrolled trials.</p>
<p>The evaluation indicators related to the quality of the included trials, named Newcastle-Ottawa scale, including random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, and selective outcome reporting, would be checked one by one and summarized in a figure (<xref ref-type="bibr" rid="B42">42</xref>). Review Manager 5.3, proposed by the Cochrane Collaboration, was used for the final comprehensive analysis.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Twenty-six clinical trials related publications involving 16,409 patients were collected for the final comprehensive meta-analysis according to our enrolled criteria. The PRISMA Flow Diagram was displayed in <xref ref-type="supplementary-material" rid="SM7">Supplemental Figure 7</xref>, while the evaluation results of bias was shown in <xref ref-type="supplementary-material" rid="SM8">Supplemental Figure 8</xref> (<xref ref-type="bibr" rid="B42">42</xref>). The basic information and clinical characteristics were provided in <xref ref-type="table" rid="T1">Table 1</xref> (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). Nivolumab (<italic>n</italic> = 10), Pembrolizumab (<italic>n</italic> = 10), Atezolizumab (<italic>n</italic> = 5), and Avelumab (<italic>n</italic> = 1), listed in <xref ref-type="table" rid="T1">Table 1</xref>, were used in corresponding clinical trials (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). Eight kind of tumors, including renal cell carcinoma (<italic>n</italic> = 1), NSCLC (<italic>n</italic> = 10), melanoma (<italic>n</italic> = 7), head-and-neck carcinoma (<italic>n</italic> = 2), triple-negative breast cancer (<italic>n</italic> = 1), SCLC (<italic>n</italic> = 2), gastric or gastro-esophageal junction cancer (<italic>n</italic> = 2), urothelial carcinoma (<italic>n</italic> = 1), were referred. Among these enrolled clinical trials, there were 1 phase I/II clinical trial, 1 phase II clinical trial, 1 phase II/III clinical trial, and 23 phase III clinical trials. Twenty-five clinical trials were reported to be randomized controlled trial (RCT), while the RCT information of 1 clinical trial was unavailable (<xref ref-type="bibr" rid="B29">29</xref>). Previous treatments could be found in 12 trials (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x02013;<xref ref-type="bibr" rid="B34">34</xref>). Publication bias, checked by Harbord&#x00027;s test (<xref ref-type="bibr" rid="B37">37</xref>), was shown in the form of funnel plots (<xref ref-type="supplementary-material" rid="SM1">Supplemental Figures 1</xref>&#x02013;<xref ref-type="supplementary-material" rid="SM6">6</xref>).</p>
<sec>
<title>Incidence Risk of Colitis</title>
<p>All grade of colitis was evaluated first (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). Clinical trials included in the study were divided into 7 groups according to treatment methods for the final comprehensive analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>). Compared with chemotherapy, PD-1/PD-L1 inhibitors led to an increase in the incidence risk of colitis (RR = 2.43, 95% CI: [1.23, 4.82], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.54 (<italic>P</italic> = 0.01); <xref ref-type="fig" rid="F1">Figure 1A</xref>), especially in clinical trials related with combined chemotherapy (RR = 2.77, 95% CI: [1.08, 7.08], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.12 (<italic>P</italic> = 0.03); <xref ref-type="fig" rid="F1">Figure 1A</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x02013;<xref ref-type="bibr" rid="B34">34</xref>). Similar incidence trend could also be seen when PD-1/PD-L1 inhibitors were combined with chemotherapy (RR = 2.62, 95% CI: [1.25, 5.48], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.56 (<italic>P</italic> = 0.01); <xref ref-type="fig" rid="F1">Figure 1B</xref>) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>). No statistical significance could be found when Nivolumab combined with Ipilimumab were compared with Ipilimumab alone (RR = 1.20, 95% CI: [0.89, 1.63], <italic>I</italic><sup>2</sup> = 5%, <italic>Z</italic> = 1.20 (<italic>P</italic> = 0.23); <xref ref-type="fig" rid="F1">Figure 1C</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>). There was an obvious higher incidence risk of all grade colitis when PD-1 inhibitors were compared with placebo (RR = 5.49, 95% CI: [1.78, 16.91], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.97 (<italic>P</italic> = 0.003); <xref ref-type="fig" rid="F1">Figure 1D</xref>) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Opposite incidence trend was seen in another two groups (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>). Whether compared with Nivolumab plus Ipilimumab or Ipilimumab alone, the incidence risk of colitis in the Nivolumab group was significantly lower than that of the control group, and the difference was statistically significant (RR = 0.15, <xref ref-type="fig" rid="F1">Figure 1E</xref>; RR = 0.25, <xref ref-type="fig" rid="F1">Figure 1F</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Meta-analysis was not performed in group G because only one group of clinical trial was enrolled (<xref ref-type="bibr" rid="B11">11</xref>). The corresponding funnel plots of RR were gathered in <xref ref-type="supplementary-material" rid="SM1">Supplemental Figure 1</xref>. Obvious heterogeneity was only found in <xref ref-type="fig" rid="F1">Figure 1F</xref> (<italic>I</italic><sup>2</sup> = 61%).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Forest plots for the risk ratio of colitis for all grade. <bold>(A)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(D)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1 vs. Placebo). <bold>(E)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab vs. Nivolumab &#x0002B; Ipilimumab). Subgroup analysis was performed according to the tumor type. <bold>(F)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab vs. Ipilimumab).</p></caption>
<graphic xlink:href="fonc-10-00261-g0001.tif"/>
</fig>
<p>Then, we took the same method to deal with all the data for evaluating the incidence risk of grade 3&#x02013;5 colitis (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). However, the analysis results of statistical significance could be seen only in <xref ref-type="fig" rid="F2">Figures 2E,F</xref> (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>), while no statistical significant results were seen in <xref ref-type="fig" rid="F2">Figures 2A&#x02013;D</xref> (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>&#x02013;<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Compared with Nivolumab plus Ipilimumab, the incidence risk of colitis in the Nivolumab group was sificantly lower than that of the control group (RR = 0.11, 95% CI: [0.06, 0.22], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 6.22 (<italic>P</italic> &#x0003C; 0.00001); <xref ref-type="fig" rid="F2">Figure 2E</xref>), especially in the subgroup of melanoma (RR = 0.11, 95% CI: [0.05, 0.22], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 6.08 (<italic>P</italic> &#x0003C; 0.00001); <xref ref-type="fig" rid="F2">Figure 2E</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Similar analysis results were shown in <xref ref-type="fig" rid="F2">Figure 2F</xref> when Nivolumab was compared with Ipilimumab [RR = 0.11, 95% CI: [0.05, 0.23], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 5.96 (<italic>P</italic> &#x0003C; 0.00001)] (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The corresponding funnel plots of RR were gathered in <xref ref-type="supplementary-material" rid="SM2">Supplemental Figure 2</xref>. No obvious heterogeneity was found among all groups (<italic>I</italic><sup>2</sup> = 0%).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Forest plots for the risk ratio of colitis for grade 3&#x02013;5. <bold>(A)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(D)</bold> Forest plots for the risk ratio of treatment related colitis (PD-1 vs. Placebo). <bold>(E)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab vs. Nivolumab &#x0002B; Ipilimumab). Subgroup analysis was performed according to the tumor type. <bold>(F)</bold> Forest plots for the risk ratio of treatment related colitis (Nivolumab vs. Ipilimumab).</p></caption>
<graphic xlink:href="fonc-10-00261-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Incidence Risk of Hepatitis</title>
<p>Sixteen clinical trials with the information of all grade hepatitis were taken into account for meta-analysis (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>). They were divided into seven groups according to treatment methods for the final comprehensive analysis (<xref ref-type="fig" rid="F3">Figure 3</xref>). Compared with chemotherapy, the incidence risk of all grade hepatitis was higher in PD-1/PD-L1 inhibitors group (RR = 3.55, 95% CI: [1.65, 7.63], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 3.24 (<italic>P</italic> = 0.001); <xref ref-type="fig" rid="F3">Figure 3A</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B30">30</xref>), especially in the subgroup of Pembrolizumab compared with combined chemotherapy (RR = 11.54, 95% CI: [1.51, 88.35], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.35 (<italic>P</italic> = 0.02); <xref ref-type="fig" rid="F3">Figure 3A</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). However, when PD-1/PD-L1 inhibitors plus chemotherapy was compared with chemotherapy, the analysis result of incidence risk was considered to be no significant (RR = 1.89, 95% CI: [0.86, 4.19], <italic>I</italic><sup>2</sup> = 50%, <italic>Z</italic> = 1.58 (<italic>P</italic> = 0.11); <xref ref-type="fig" rid="F3">Figure 3B</xref>) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>), even if in each subgroup. Similar incidence trend could also be seen when PD-1 inhibitor was compared with placebo or Ipilimumab (<xref ref-type="fig" rid="F3">Figures 3C,F</xref>) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>). There was an obvious higher incidence risk of all grade hepatitis when Nivolumab plus Ipilimumab were compared with Ipilimumab (RR = 8.54, 95% CI: [1.59, 45.79], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.50 (<italic>P</italic> = 0.01); <xref ref-type="fig" rid="F3">Figure 3D</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>). When the control group was Nivolumab, similar result was seen in <xref ref-type="fig" rid="F3">Figure 3E</xref> [RR = 15.00, 95% CI: [1.99, 113.21], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.63 (<italic>P</italic> = 0.009)] (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The corresponding funnel plots of RR were summarized in <xref ref-type="supplementary-material" rid="SM3">Supplemental Figure 3</xref>. Moderate heterogeneity was only found in <xref ref-type="fig" rid="F3">Figure 3B</xref> (<italic>I</italic><sup>2</sup> = 50%).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Forest plots for the risk ratio of hepatitis for all grade. <bold>(A)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1 vs. Placebo). <bold>(D)</bold> Forest plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(E)</bold> Forest plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Nivolumab). <bold>(F)</bold> Forest plots for the risk ratio of treatment related hepatitis (Nivolumab vs. Ipilimumab).</p></caption>
<graphic xlink:href="fonc-10-00261-g0003.tif"/>
</fig>
<p>The same grouping and subgroup approach as before were taken for evaluating the incidence risk of grade 3&#x02013;5 hepatitis. Fourteen clinical trials with the information of hepatitis were taken into account for the final meta-analysis (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Regardless of whether the experimental group was PD-1/PD-L1 plus chemotherapy or PD-1/PD-L1 inhibitor, the incidence risk of hepatitis in the PD-1/PD-L1 related experimental group was higher than that of the chemotherapy control group (RR = 5.52, 95% CI: [1.43, 21.38], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.47 (<italic>P</italic> = 0.01), <xref ref-type="fig" rid="F4">Figure 4A</xref>; RR = 2.21, 95% CI: [1.21, 4.06], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.56 (<italic>P</italic> = 0.01), <xref ref-type="fig" rid="F4">Figure 4B</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Similar incidence trend happened in another two groups, which the experimental group was Nivolumab plus Ipilimumab and the control group was Nivolumab or Ipilimumab separately (RR = 6.85, 95% CI: [1.26, 37.19], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.23 (<italic>P</italic> = 0.03), <xref ref-type="fig" rid="F4">Figure 4D</xref>; RR = 11.00, 95% CI: [1.42, 84.95], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.30 (<italic>P</italic> = 0.02), <xref ref-type="fig" rid="F4">Figure 4E</xref>). No statistical significant results were seen in <xref ref-type="fig" rid="F4">Figure 4C</xref>, which the control group was placebo (RR = 4.34, 95% CI: [0.75, 24.97], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 1.64 (<italic>P</italic> = 0.10) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). The corresponding funnel plots of RR were summarized in <xref ref-type="supplementary-material" rid="SM4">Supplemental Figure 4</xref>. No obvious heterogeneity was found among all groups (<italic>I</italic><sup>2</sup> = 0%).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Forest plots for the risk ratio of hepatitis for grade 3&#x02013;5. <bold>(A)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Forest plots for the risk ratio of treatment related hepatitis (PD-1 vs. Placebo). <bold>(D)</bold> Forest plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(E)</bold> Forest plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Nivolumab).</p></caption>
<graphic xlink:href="fonc-10-00261-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Incidence Risk of Pancreatitis</title>
<p>Pancreatitis was reported in 10 enrolled clinical trials (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Among them, 8 clinical trials with the information of all grade pancreatitis were taken into account for the final meta-analysis (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Regardless of whether the experimental group was PD-1/PD-L1 plus chemotherapy or PD-1/PD-L1 inhibitor, the incidence risk of pancreatitis in the PD-1/PD-L1 related experimental group was of no statistical significance (RR = 2.12, 95% CI: [0.44, 10.17], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 0.94 (<italic>P</italic> = 0.35), <xref ref-type="fig" rid="F5">Figure 5A</xref>; RR = 2.54, 95% CI: [0.62, 10.40], <italic>I</italic><sup>2</sup> = 3%, <italic>Z</italic> = 1.30 (<italic>P</italic> = 0.20), <xref ref-type="fig" rid="F5">Figure 5B</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Similar analysis results of grade 3&#x02013;5 pancreatitis could also be seen in <xref ref-type="fig" rid="F6">Figure 6</xref> (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). The corresponding funnel plots of RR were summarized in <xref ref-type="supplementary-material" rid="SM5">Supplemental Figures 5</xref>, <xref ref-type="supplementary-material" rid="SM6">6</xref>. No obvious heterogeneity was found among all groups.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Forest plots for the risk ratio of pancreatitis for all grade. <bold>(A)</bold> Forest plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group.</p></caption>
<graphic xlink:href="fonc-10-00261-g0005.tif"/>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Forest plots for the risk ratio of pancreatitis for grade 3&#x02013;5. <bold>(A)</bold> Forest plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Forest plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group.</p></caption>
<graphic xlink:href="fonc-10-00261-g0006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The hallmarks of cancer involves active evasion by cancer cells from attack and elimination by immune cells; this capability highlights the dichotomous roles of an immune system that both antagonizes and enhances tumor development and progression (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Therefore, cancer can also be defined as an immune-related disease (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). In the field of anti-tumor therapy, immunosuppressants had been widely used as a new anti-tumor therapy in clinical practice, and had achieved gratifying clinical effects (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). With the development of anti-tumor immunosuppressants, a number of immune-related side effects had been reported, and immune-related digestive system inflammation was one of them (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). PD-1/PD-L1 inhibitor is the most commonly used anti-tumor immunosuppressant in clinical practice, and it is also one of the most common immunosuppressive drugs for causing immune gastrointestinal inflammatory diseases among cancer patients (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). To investigate the relationship between incidence risk of immune-related digestive system inflammation and PD-1/PD-L1 inhibitors, we performed this meta-analysis.</p>
<p>After screening and eligibility assessment, a total of 26 clinical trials involving 16,409 patients were enrolled for the final meta-analysis (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). All enrolled clinical trials were considered to be of higher good quality, when study quality and risk of bias among enrolled studies were evaluated by Newcastle-Ottawa scale (<xref ref-type="bibr" rid="B42">42</xref>). The evaluation results of bias was shown in <xref ref-type="supplementary-material" rid="SM8">Supplemental Figure 8</xref> (<xref ref-type="bibr" rid="B42">42</xref>). Therefore, the analysis results based on the data from the above included trials had a high degree of credibility. However, due to the small number of studies included in the individual groups, sufficient subgroup analysis was not performed, which is also a shortcoming of this study.</p>
<p>The control group was chemotherapy, whether the experimental group was PD-1/PD-L1 inhibitor or PD-1/PD-L1 inhibitor plus chemotherapy, the results suggested that the use of PD-1/PD-L1 inhibitors increased the incidence risk of colitis (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>, <xref ref-type="fig" rid="F2">2A,B</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x02013;<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Statistical significant analysis results could be seen in 3 groups (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>, <xref ref-type="fig" rid="F2">2A</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>). When Nivolumab (PD-1) was compared with Ipilimumab (anti-CTLA4), regardless of the composition of the experimental and control groups, the results showed that Nivolumab had a lower incidence risk of colitis than Ipilimumab (<xref ref-type="fig" rid="F1">Figures 1C,E,F</xref>, <xref ref-type="fig" rid="F2">2C,E,F</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B35">35</xref>), which 4 analysis results of them were shown with statistical differences (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>, <xref ref-type="fig" rid="F2">2E,F</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The similar incidence trend could also be seen when Nivolumab was compared to placebo (<xref ref-type="fig" rid="F1">Figures 1D</xref>, <xref ref-type="fig" rid="F2">2D</xref>) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Obvious heterogeneity was only found in <xref ref-type="fig" rid="F1">Figure 1F</xref> (<italic>I</italic><sup>2</sup> = 68%) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B35">35</xref>). After comparing <xref ref-type="fig" rid="F1">Figure 1F</xref> with <xref ref-type="fig" rid="F2">Figure 2F</xref>, we found that the heterogeneity might come from the enrolled trial (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>16 clinical trials with the information of all grade hepatitis were taken into account for meta-analysis (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>). When PD-1/PD-L1 inhibitors plus chemotherapy was compared with chemotherapy, the analysis result of incidence risk of all grade hepatitis was considered to be no significant (RR = 1.89, 95% CI: [0.86, 4.19], <italic>I</italic><sup>2</sup> = 50%, <italic>Z</italic> = 1.58 (<italic>P</italic> = 0.11); <xref ref-type="fig" rid="F3">Figure 3B</xref>) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Obvious significant difference was seen when they were used for evaluating the incidence risk of grade 3&#x02013;5 hepatitis (RR = 2.21, 95% CI: [1.21, 4.06], <italic>I</italic><sup>2</sup> = 0%, <italic>Z</italic> = 2.56 (<italic>P</italic> = 0.01), <xref ref-type="fig" rid="F4">Figure 4B</xref>) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Similar incidence trend could also be seen when PD-1 inhibitor was compared to Ipilimumab (<xref ref-type="fig" rid="F3">Figures 3F</xref>, <xref ref-type="fig" rid="F4">4F</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Moderate heterogeneity was only found in <xref ref-type="fig" rid="F3">Figure 3B</xref> (<italic>I</italic><sup>2</sup> = 50%) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013; <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>). By comparing the results of the analysis in <xref ref-type="fig" rid="F3">Figures 3B</xref>, <xref ref-type="fig" rid="F4">4B</xref>, we still could not determine the source of heterogeneity. Therefore, we concluded that heterogeneity might originate from the data themselves. Publication bias, checked by Harbord&#x00027;s test (<xref ref-type="bibr" rid="B37">37</xref>), was not found in the form of funnel plots (<xref ref-type="supplementary-material" rid="SM1">Supplemental Figures 1</xref>&#x02013;<xref ref-type="supplementary-material" rid="SM6">6</xref>).</p>
<p>Through a comprehensive analysis, we found that the effect of PD-1/PD-L1 inhibitors on the risk of immune related hepatitis was roughly the same as that for immune related colitis (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>), while no significant statistical results were seen for the analysis of immune related pancreatitis (<xref ref-type="fig" rid="F5">Figures 5</xref>, <xref ref-type="fig" rid="F6">6</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>). This might be related to the low incidence of immune-related pancreatitis and the small number of patients included in the study (<xref ref-type="fig" rid="F5">Figures 5</xref>, <xref ref-type="fig" rid="F6">6</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>For drug-induced immune related digestive system inflammation of grade 3&#x02013;5, stopping the use of the corresponding induced drug remained the primary treatment option (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). However, due to the particularity of the tumor patient population, in clinical work, the discontinuation anti-tumor treatment should be carefully considered to prevent the sudden stop of all anti-tumor drugs leading to rapid tumor progression, endangering the lives of patients (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). Through the above analysis, we found that PD-1/PD-L1 inhibitors can increase the risk of developing colitis and hepatitis. Therefore, when we encountered the need to stop anti-tumor therapy to alleviate severe immune related digestive system inflammation, it was preferred to stop the PD-1/PD-L1 inhibitor (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). This had an important guiding significance for us to determine the cause of immune related digestive system inflammation and the adjustment of clinical treatment.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>The use of PD-1/PD-L1 inhibitors increased the incidence risk of immune-related colitis and hepatitis, but this potential to increase the incidence risk of the disease was weaker than Ipilimumab.</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>All datasets analyzed for this study are included in the article/<xref ref-type="sec" rid="s8">Supplementary Material</xref>.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>YT had full access to all data in the study and all authors had final responsibility for the decision to submit for publication. ZZ, XY, DL, LZ, and YT had the full data of the paper. ZL, SZ, YM, CJ, and YZ were responsible for the collection of clinical data. ZZ helped to gather the online data and write the report.</p>
<sec>
<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>
</body>
<back>
<sec sec-type="supplementary-material" id="s8">
<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/fonc.2020.00261/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2020.00261/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 1</label>
<caption><p>Funnel plots for the risk ratio of colitis for all grade. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(D)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1 vs. Placebo). <bold>(E)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab vs. Nivolumab &#x0002B; Ipilimumab). Subgroup analysis was performed according to the tumor type. <bold>(F)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab vs. Ipilimumab).</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_2.TIF" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 2</label>
<caption><p>Funnel plots for the risk ratio of colitis for grade 3&#x02013;5. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(D)</bold> Funnel plots for the risk ratio of treatment related colitis (PD-1 vs. Placebo). <bold>(E)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab vs. Nivolumab &#x0002B; Ipilimumab). Subgroup analysis was performed according to the tumor type. <bold>(F)</bold> Funnel plots for the risk ratio of treatment related colitis (Nivolumab vs. Ipilimumab).</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_3.TIF" id="SM3" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 3</label>
<caption><p>Funnel plots for the risk ratio of hepatitis for all grade. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1 vs. Placebo). <bold>(D)</bold> Funnel plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(E)</bold> Funnel plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Nivolumab). <bold>(F)</bold> Funnel plots for the risk ratio of treatment related hepatitis (Nivolumab vs. Ipilimumab).</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_4.TIF" id="SM4" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 4</label>
<caption><p>Funnel plots for the risk ratio of hepatitis for grade 3&#x02013;5. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group. <bold>(C)</bold> Funnel plots for the risk ratio of treatment related hepatitis (PD-1 vs. Placebo). <bold>(D)</bold> Funnel plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Ipilimumab). <bold>(E)</bold> Funnel plots for the risk ratio of treatment related hepatitis (Nivolumab &#x0002B; Ipilimumab vs. Nivolumab).</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_5.TIF" id="SM5" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 5</label>
<caption><p>Funnel plots for the risk ratio of pancreatitis for all grade. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_6.TIF" id="SM6" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 6</label>
<caption><p>Funnel plots for the risk ratio of pancreatitis for grade 3&#x02013;5. <bold>(A)</bold> Funnel plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 vs. Docetaxel/Paclitaxel or Chemotherapy). Subgroup analysis was performed according to the composition of chemotherapy in the control group. <bold>(B)</bold> Funnel plots for the risk ratio of treatment related pancreatitis (PD-1/PD-L1 &#x0002B; Chemotherapy vs. Chemotherapy). Subgroup analysis was performed based on the drug type (PD-1 or PD-L1) of the experimental group.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_7.TIF" id="SM7" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 7</label>
<caption><p>PRISMA flow diagram.</p></caption> </supplementary-material>
<supplementary-material xlink:href="Image_8.PNG" id="SM8" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplemental Figure 8</label>
<caption><p>Risk of bias summary: review authors&#x00027; judgments about each risk of bias item for each included study.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.CSV" id="SM9" mimetype="text/csv" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.doc" id="SM10" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>PRISMA</term>
<def><p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p></def></def-item>
<def-item><term>PD-1</term>
<def><p>programmed cell death-1</p></def></def-item>
<def-item><term>PD-L1</term>
<def><p>programmed cell death ligand 1</p></def></def-item>
<def-item><term>HR</term>
<def><p>hazard ratios</p></def></def-item>
<def-item><term>RR</term>
<def><p>risk ratio</p></def></def-item>
<def-item><term>CI</term>
<def><p>confidence interval</p></def></def-item>
<def-item><term>RE</term>
<def><p>random effect</p></def></def-item>
<def-item><term>FE</term>
<def><p>fixed effect.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article>