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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1269067</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Adverse events of neoadjuvant combination immunotherapy for resectable cancer patients: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Feng</surname>
<given-names>Yuqian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/901406"/>
<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/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Guo</surname>
<given-names>Kaibo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/902763"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Huimin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/967067"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1712053"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Menglei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Shengyou</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2595327"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Hangzhou School of Clinical Medicine, Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Oncology, Hangzhou First People&#x2019;s Hospital</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Oncology, The Second Affiliated Hospital of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>The Third School of Clinical Medicine, Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)</institution>, <addr-line>Hangzhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yutian Zou, Sun Yat-sen University Cancer Center (SYSUCC), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Brigida Anna Maiorano, IRCCS Casa Sollievo della Sofferenza Hospital, Italy</p>
<p>Sofiya Latifyan, Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shengyou Lin, <email xlink:href="mailto:shengyoulin@zcmu.edu.cn">shengyoulin@zcmu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1269067</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Feng, Guo, Jin, Jiang, Wang and Lin</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Feng, Guo, Jin, Jiang, Wang and Lin</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>Background</title>
<p>Neoadjuvant combination immunotherapy is changing the treatment landscape for patients with cancer. Exploring the incidence of immune-related adverse events (irAEs) in relation to this novel approach may provide valuable insights for future clinical investigations.</p>
</sec>
<sec>
<title>Methods</title>
<p>This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Embase, Cochrane Library, American Society of Clinical Oncology (ASCO), and European Society of Medical Oncology (ESMO) websites were searched for all relevant literature from their inception to November 24, 2023. We then extracted the required data from the included studies and used the R software to analyze the pooled incidence of irAEs. Subgroup analyses examined the pooled incidence of irAEs according to cancer and combination types using a random-effects model.</p>
</sec>
<sec>
<title>Results</title>
<p>Sixteen studies involving 501 patients were included in the meta-analysis. Considering the heterogeneity of the study design, we analyzed the randomized controlled studies (RCTs) and the single-arm studies separately. In RCTs, the incidence of any-grade irAEs was 95.0% (95% confidence interval [CI] 87.3-99.3) and that of grade &#x2265;3 irAEs was 24.0% (95% CI 13.7-36.0). In single-arm studies, the incidence of any-grade irAEs was 89.4% (95% CI 75.0-98.0) and grade &#x2265;3 irAEs was 20.3% (95% CI 8.7-35.2). In both RCTs and single arms, the most common any- grade irAEs were rash and fatigue, while the most common grade &#x2265;3 irAEs was abnormal liver function and colitis. Due to irAEs, 9.4% of patients in RCTs and 6.9% of patients in single-arm studies did not complete the prescribed neoadjuvant treatment cycle.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study comprehensively summarized the incidence of irAEs in neoadjuvant combination immunotherapy. The occurrence of irAEs varies depending on the cancer and combination types. Our meta-analysis provides clinicians with essential guidance for the management of patients with cancer.</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 CRD42023387969.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neoadjuvant immunotherapy</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>adverse events</kwd>
<kwd>safety</kwd>
<kwd>resectable cancer</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="9"/>
<word-count count="4030"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>In recent years, immune checkpoint inhibitors (ICIs), such as programmed death-1 (PD-1), programmed death ligand-1 (PD-L1), and cytotoxic T-lymphocyte antigen-4 (CTLA-4), have made significant progress in the treatment of various tumors (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Compared with conventional chemotherapy, ICIs can significantly extend the overall survival time of cancer patients and reduce the occurrence of adverse events (AEs) (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Currently, ICI neoadjuvant therapy is used for various tumors, such as lung cancer (<xref ref-type="bibr" rid="B5">5</xref>), melanoma (<xref ref-type="bibr" rid="B6">6</xref>), and esophageal cancer (<xref ref-type="bibr" rid="B7">7</xref>). In a meta-analysis of NSCLC, neoadjuvant immunotherapy was associated with significantly higher rates of pathological complete responses than neoadjuvant chemotherapy (<xref ref-type="bibr" rid="B8">8</xref>). Owing to its remarkable therapeutic effects, a large number of clinical trials have been conducted to investigate the efficacy and safety of neoadjuvant immunotherapy for malignant tumors.</p>
<p>The combination of the two ICIs has become an essential component of neoadjuvant immunotherapy. In a phase II clinical study, patients with resectable malignant melanoma who received neoadjuvant combination immunotherapy achieved a pathologic complete response rate of 57% (<xref ref-type="bibr" rid="B9">9</xref>). The NICHE-2 study showed that neoadjuvant combination immunotherapy in patients with colon cancer resulted in a high rate of pathologic complete response (<xref ref-type="bibr" rid="B10">10</xref>). In addition to the effectiveness of neoadjuvant immunotherapy, safety is a concern, especially for dual-agent immunotherapy. Most immune-related adverse events (irAEs) tend to be self-limiting or ameliorated using multiple strategies. However, in some cases, life-threatening fatal events can occur (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Considering that a new approach for combination immunotherapy may be added to neoadjuvant therapy for malignant tumors in the near future, it is necessary for clinicians to gain a comprehensive understanding of the safety of this approach. In this review, we conducted a comprehensive safety assessment by searching for clinical trials of neoadjuvant combination immunotherapy for malignancies and pooled the incidence of irAEs by meta-analysis.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>This study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement (<xref ref-type="bibr" rid="B12">12</xref>) and was registered at PROSPERO (CRD42023387969).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Literature search and screening</title>
<p>Three databases PubMed, Embase, Cochrane Library, American Society of Clinical Oncology (ASCO), and European Society of Medical Oncology (ESMO) websites were searched for relevant literature from their inception until November 24, 2023. The search strategy for PubMed is presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. After importing documents into Endnote reference management software (Version X9), filtering was performed.</p>
<p>According to the population, issue of interest, comparison, outcome, and study design (PICOS) method (<xref ref-type="bibr" rid="B13">13</xref>), studies meeting the following criteria were included: (i) populations: the study was conducted in resectable cancer patients, (ii) interventions: neoadjuvant combination immunotherapy was used as an intervention (only dual immune checkpoint inhibitors were included), (iii) outcomes: irAEs for outcome indicators were reported, (iv) study designs: RCTs, single-arm, and non-RCT studies were all included, and (v) the full text was published in English. The exclusion criteria were as follows: (i) neoadjuvant immunotherapy combined with other treatment modalities, such as chemotherapy, targeted therapy, and radiotherapy, (ii) no mention of irAEs in the outcome indicator; and (iii) only a summary without a full-text report. The above processes were independently completed by two authors.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data extraction and quality assessment</title>
<p>Two authors carefully reviewed the eligible literature and extracted relevant information, including the first author, publication year, study design, cancer type, intervention, number of patients, surgical time, follow-up time, case of irAEs (any grade and high grade), completion of neoadjuvant therapy, case of surgery delayed or not performed, and evaluation criteria of AEs.</p>
<p>The quality of randomized controlled trials (RCTs) was assessed using the Cochrane Collaboration&#x2019;s risk of bias tool (<xref ref-type="bibr" rid="B14">14</xref>). Additionally, a quality assessment of non-randomized controlled studies was performed using the methodological index for non-randomized studies (MINORS) checklist (<xref ref-type="bibr" rid="B15">15</xref>). Two authors independently assessed the quality of the literatures and promptly consulted a third author regarding points of dispute.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>The primary objective of our meta-analysis was to determine the incidence of irAEs, including any-grade irAEs as well as high-grade irAEs. The pooled incidence with 95% confidence intervals (CIs) was calculated using a random effects model in RCTs and single-arm studies, respectively. Subgroup analyses were performed to examine the pooled incidence of irAEs according to cancer and combination types. Rate consolidation was conducted using arcsine transformation. Heterogeneity among the pooled studies was assessed using the heterogeneity index (I<sup>2</sup>).</p>
<p>All of the above analyses were performed using R software (version 4.1.0) with the Meta package. A <italic>P</italic> value of &lt;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Eligible studies and characteristics</title>
<p>Through a systematic literature search, 8910 relevant records were retrieved. Duplicates were removed, and titles and abstracts were browsed, leaving 68 records that required full-text reading. Among them, 3 did not have sufficient data, 17 were not the latest study results, 10 were wrong interventions, 5 were wrong outcome indicators, and 17 were not found in the full text. Sixteen studies were included; nine were non-RCTs (including eight single-arm studies) and seven were RCTs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The risk of bias for RCTs is detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>, while that for non-RCTs is detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart of the literature selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1269067-g001.tif"/>
</fig>
<p>The main characteristics of sixteen included clinical trials are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. All publications were published after 2019. In total, 501 patients received neoadjuvant combination immunotherapy. In four studies (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>), 76 patients received durvalumab plus tremelimuma as neoadjuvant therapy. In nine studies (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), 326 patients received nivolumab plus ipilimumab. Thirty patients received relatlimab plus nivolumab (<xref ref-type="bibr" rid="B9">9</xref>), 28 patients received lirilumab plus nivolumab (<xref ref-type="bibr" rid="B29">29</xref>), 21 patients received Durvalumab plus Oleclumab, and 20 patients received Durvalumab plus Monalizumab (<xref ref-type="bibr" rid="B30">30</xref>). AEs in thirteen studies were assessed using the National Cancer Institute&#x2019;s Common Terminology Criteria, whereas those in three studies were not reported.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Main characteristics of all included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">First author</th>
<th valign="top" align="center">Publish year</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">Cancer type</th>
<th valign="top" align="center">Intervention (T)</th>
<th valign="top" align="center">Intervention(C)</th>
<th valign="top" align="center">Cycle</th>
<th valign="top" align="center">Number of patients (T/C)</th>
<th valign="top" align="center">surgical time</th>
<th valign="top" align="center">Follow-up time</th>
<th valign="top" align="center">Criteria for<break/>adverse events</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Schoenfeld, J.D.</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">HNC</td>
<td valign="top" align="center">Nivolumab 3 mg/kg+ Ipilimumab 1 mg/kg</td>
<td valign="top" align="center">Nivolumab 3 mg/kg</td>
<td valign="top" align="center">Two cycles nivolumab</td>
<td valign="top" align="center">15/14</td>
<td valign="top" align="center">19d (7-21d), initiation of ICIs</td>
<td valign="top" align="center">14.2M</td>
<td valign="top" align="center">CTCAE v4.0</td>
</tr>
<tr>
<td valign="top" align="center">Lee, H. S.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">Pleural Mesothelioma</td>
<td valign="top" align="center">Durvalumab 1500mg+<break/>Tremelimumab 75 mg</td>
<td valign="top" align="center">Durvalumab 10mg/kg</td>
<td valign="top" align="center">One cycle</td>
<td valign="top" align="center">11/9</td>
<td valign="top" align="center">22d (14-61d), last dose of ICIs</td>
<td valign="top" align="center">34.1M</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="center">Ferrarotto, R.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">HNC</td>
<td valign="top" align="center">Durvalumab 1500mg+<break/>Tremelimumab 75 mg</td>
<td valign="top" align="center">Durvalumab 1500mg</td>
<td valign="top" align="center">Two cycles</td>
<td valign="top" align="center">14/15</td>
<td valign="top" align="center">56d(52- 72d), initiation of ICIs</td>
<td valign="top" align="center">15.79M(8.38&#x2013;23.83)</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Cascone, T.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">NSCLC</td>
<td valign="top" align="center">Nivolumab 3mg/kg+<break/>Ipilimumab 1mg/kg</td>
<td valign="top" align="center">Nivolumab 3mg</td>
<td valign="top" align="center">Three cycles nivolumab</td>
<td valign="top" align="center">21/23</td>
<td valign="top" align="center">31d (21-87d), last dose of ICIs</td>
<td valign="top" align="center">22.2M</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="center">Kaseb, A.O.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">HCC</td>
<td valign="top" align="center">Nivolumab 240 mg+ Ipilimumab 1mg/kg</td>
<td valign="top" align="center">Nivolumab 240 mg</td>
<td valign="top" align="center">Three cycles nivolumab</td>
<td valign="top" align="center">14/13</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">24.6M(21.1&#x2013;32.9)</td>
<td valign="top" align="center">CTCAE</td>
</tr>
<tr>
<td valign="top" align="center">Rozeman, E. A.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">Melanoma</td>
<td valign="top" align="center">Ipilimumab 3 mg/kg+ Nivolumab 1 mg/kg;<break/>Ipilimumab 1 mg/kg +Nivolumab 3 mg/kg</td>
<td valign="top" align="center">Ipilimumab 3 mg/kg + Nivolumab 3 mg/kg</td>
<td valign="top" align="center">Two cycles</td>
<td valign="top" align="center">30/30/26</td>
<td valign="top" align="center">6w, initiation of ICIs</td>
<td valign="top" align="center">8.3M(5.6&#x2013;11.7)</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Cascone, T.</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">RCT</td>
<td valign="top" align="center">NSCLC</td>
<td valign="top" align="center">Durvalumab 1500mg+Oleclumab 3000mg, Durvalumab 1500mg + Monalizumab 750mg</td>
<td valign="top" align="center">Durvalumab 1500mg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">21/20/26</td>
<td valign="top" align="center">29-42d</td>
<td valign="top" align="center">105d</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="center">Vos, J. L.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Non-RCT</td>
<td valign="top" align="center">HNC</td>
<td valign="top" align="center">Nivolumab 240 mg+<break/>Ipilimumab<break/>1mg/kg</td>
<td valign="top" align="center">Nivolumab 240 mg</td>
<td valign="top" align="center">Two cycles nivolumab</td>
<td valign="top" align="center">26/6</td>
<td valign="top" align="center">27d, initiation of ICIs</td>
<td valign="top" align="center">24M(21.5-not attained)</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Gao, J.</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">UC</td>
<td valign="top" align="center">Durvalumab 1500 mg+ Tremelimumab 75 mg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Two cycles</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">19.2M</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Reijers, I.L.M.</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">Melanoma</td>
<td valign="top" align="center">Ipilimumab 1mg/kg+ Nivolumab 3mg/kg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Two cycles</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">28.1M(25.0-33.8)</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Reuss, J.E.</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">NSCLC</td>
<td valign="top" align="center">Nivolumab 3 mg/kg+ Ipilimumab 1 mg/kg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Three cycles nivolumab</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">CTCAE v4.0</td>
</tr>
<tr>
<td valign="top" align="center">Marie, P.K.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">CRC</td>
<td valign="top" align="center">Durvalumab 1500 mg+ Tremelimumab 75 mg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">One cycle</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">30d (17-69d)</td>
<td valign="top" align="center">2.3Y</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Amaria, R.N.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">Melanoma</td>
<td valign="top" align="center">Relatlimab 160&#x2009;mg+ Nivolumab 480&#x2009;mg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">Week 9</td>
<td valign="top" align="center">24.4M(7.1-34.6)</td>
<td valign="top" align="center">CTCAE v4.03</td>
</tr>
<tr>
<td valign="top" align="center">Andre, T.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">Oeso-gastric adenocarcinoma</td>
<td valign="top" align="center">Nivolumab 240 mg+<break/>Ipilimumab 1 mg/kg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Six cycles nivolumab</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">35d(28-168d), last dose of ICIs</td>
<td valign="top" align="center">14.9M(10.6-17.6)</td>
<td valign="top" align="center">CTCAE v5.0</td>
</tr>
<tr>
<td valign="top" align="center">Hanna, G.J.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">HNC</td>
<td valign="top" align="center">Nivolumab 240 mg+ Lirilumab 240 mg</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">13d (6-24d)</td>
<td valign="top" align="center">22.8M(9.2-35.7)</td>
<td valign="top" align="center">CTCAE v4.0</td>
</tr>
<tr>
<td valign="top" align="center">van Dijk, N.</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Single-arm</td>
<td valign="top" align="center">UC</td>
<td valign="top" align="center">Ipilimumab 3 mg/kg (day 1/22)<break/>+ nivolumab 1 mg/kg (day 22) + nivolumab 3 mg/kg (day 43)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">Week 12</td>
<td valign="top" align="center">8.3M(4.7-13.1)</td>
<td valign="top" align="center">CTCAE v4.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NSCLC, Non Small Cell Lung Cancer; HNC, Head and Neck Cancer; HCC, Hepatocellular Carcinoma; CRC, Colorectal Cancer; UC, Urothelial Cancer; RCT, Randomized Controlled Trial; ICIs, Immune checkpoint inhibitors; NR, Not Reported; Y, Year; M, Month; d: Day; CTCAE, Common Terminology Criteria for Adverse Events; T, Treatment arm; C, Control arm.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Incidence of overall irAEs</title>
<p>In general, 15 trials reported the occurrence of grade &#x2265;3 irAEs, with 11 reporting any-grade irAEs. Considering the heterogeneity of the study designs, we analyzed the RCTs and single-arm studies separately. The study published by Vos et&#xa0;al. was not included in the subsequent meta-analysis because it was neither an RCT study nor a single-arm study (<xref ref-type="bibr" rid="B20">20</xref>). In RCTs, the incidence of any-grade irAEs was 95.0% (95% CI 87.3-99.3) and that of grade &#x2265;3 irAEs was 24.0% (95% CI 13.7-36.0).In single-arm studies, the incidence of any-grade irAEs was 89.4% (95% CI 75.0-98.0) and that of grade &#x2265;3 irAEs was 20.3% (95% CI 8.7-35.2) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). In addition, we measured the incidence of irAEs with immunotherapy alone. The incidence of any-grade irAEs was 87.1% (95% CI 55.9-100.0) and that of grade &#x2265;3 irAEs was 17.3% (95% CI 10.1-25.9) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). There was no statistical difference in the incidence of irAEs between monotherapy and combination therapy (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Overall incidences of any grade and grade &#x2265; 3 immune-related adverse events (irAEs).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1269067-g002.tif"/>
</fig>
<p>Considering the presence of heterogeneity, we performed a subgroup analysis according to combination and cancer types (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In RCTs, regarding the combination type, the incidence of any-grade irAEs was 97.1% (95%CI 90.9-99.9) and that of grade &#x2265;3 irAEs was 32.6% (95%CI 17.6-49.7) for anti PD-1 plus anti CTLA-4 (nivolumab combined with ipilimumab). The incidence of any-grade irAEs was 100.0% (95% CI 76.8-100), while that of grade &#x2265;3 irAEs was 15.3% (95% CI 1.6-39.0) for anti PD-L1 plus anti CTLA-4 (durvalumab combined with tremelimuma). Regarding the cancer type, the incidence of any-grade irAEs was 80.2% (95%CI 64.8-92.0) for non-small cell lung cancer (NSCLC), and 98.4% (95%CI 94.3-100.1) for melanoma. The incidence of grade &#x2265;3 irAEs was 11.2% (95%CI 4.6-20.2) for NSCLC, 7.1% (95% CI 0.2-3.4) for head and neck cancers (HNCs), and 38.4% (95%CI 22.0-56.3) for melanoma.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analysis for irAEs according to the combination type and cancer type.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center" colspan="2"/>
<th valign="top" align="center">RCTs<break/>Incidence(%,95%CI)</th>
<th valign="top" align="center">Single arms<break/>Incidence(%,95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="4" align="left">&#x2003;Combination type</th>
</tr>
<tr>
<td valign="top" align="center">
<italic>Anti PD-1 plus CTLA-4</italic>
</td>
<td valign="top" align="center">Any Grade</td>
<td valign="top" align="center">97.1 (90.9-99.9)</td>
<td valign="top" align="center">91.0 (69.5-100.0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade&#x2265;3</td>
<td valign="top" align="center">32.6 (17.6-49.7)</td>
<td valign="top" align="center">32.9 (19.1-48.3)</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Anti PD-L1 plus CTLA-4</italic>
</td>
<td valign="top" align="center">Any Grade</td>
<td valign="top" align="center">100.0 (76.8-100.0)</td>
<td valign="top" align="center">92.9 (76.5-99.1)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade&#x2265;3</td>
<td valign="top" align="center">15.3 (1.6-39.0)</td>
<td valign="top" align="center">21.6 (11.5-33.8)</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">&#x2003;Cancer type</th>
</tr>
<tr>
<td valign="top" align="center">
<italic>NSCLC</italic>
</td>
<td valign="top" align="center">Any Grade</td>
<td valign="top" align="center">80.2 (64.8-92.0)</td>
<td valign="top" align="center">66.7 (29.9-92.5)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade&#x2265;3</td>
<td valign="top" align="center">11.2 (4.6-20.2)</td>
<td valign="top" align="center">33.3 (7.5-70.1)</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>HNC</italic>
</td>
<td valign="top" align="center">Any Grade</td>
<td valign="top" align="center">100.0 (76.8-100.0)</td>
<td valign="top" align="center">75.0 (55.1-89.3)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade&#x2265;3</td>
<td valign="top" align="center">7.1 (0.2-3.4)</td>
<td valign="top" align="center">10.7 (2.3-28.2)</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Melanoma</italic>
</td>
<td valign="top" align="center">Any Grade</td>
<td valign="top" align="center">98.4 (94.3-100.1)</td>
<td valign="top" align="center">98.0 (92.9-99.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade&#x2265;3</td>
<td valign="top" align="center">38.4 (22.0-56.3)</td>
<td valign="top" align="center">8.5 (0.0-58.2)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In single-arm studies, regarding the combination type, the incidence of any-grade irAEs was 91.0% (95%CI 69.5-100.0) and that of grade &#x2265;3 irAEs was 32.9% (95%CI 19.1-48.3) for anti PD-1 plus anti CTLA-4. The incidence of any-grade irAEs was 92.9% (95% CI 76.5-99.1), while that of grade &#x2265;3 irAEs was 21.6% (95% CI 11.5-33.8) for anti PD-L1 plus anti CTLA-4. Regarding the cancer type, the incidence of any-grade was 66.7% (95% CI 29.9-92.5) for NSCLC, 75.0% (95% CI 55.1-89.3) for HNCs, and 98.0% (95% CI 92.9-99.8) for melanoma. The incidence of grade &#x2265;3 irAEs was 33.3% (95% CI 7.5-70.1) for NSCLC, 10.7% (95% CI 2.3-28.2) for HNCs, and 8.5% (95%CI 0.0-58.2) for melanoma.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Incidence of specific irAEs</title>
<p>A total of 146 irAEs were reported in the 16 included trials; the 10 most common irAEs are described in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. In RCTs, the most common any-grade irAEs were rash (33.9%, 95% CI 13.0-58.8), fatigue (32.7%, 95% CI 19.4-47.5), diarrhea (18.8%, 95%CI 4.8-39.4), hyperthyroidism (17.9%, 95%CI 6.1-34.0), and pruritus (17.2%, 95% CI 8.8&#x2013;27.8). The most common grade &#x2265;3 irAEs were AST increased (10.4%, 95% CI 2.5-22.7), ALT increased (9.3%, 95% CI 2.1-20.8), colitis (5.5%, 95% CI 0.0-22.5), diarrhea (5.4%, 95% CI 2.1-10.1), and rash (4.7%, 95% CI 1.0-10.9).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The 10 most common irAEs in RCTs and single arm studies. <bold>(A)</bold> RCTs; <bold>(B)</bold> Single-arm studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1269067-g003.tif"/>
</fig>
<p>In single-arm studies, the most common any-grade irAEs were fatigue (30.1%, 95% CI 19.0-42.5), pruritus (29.1%, 95% CI 22.5-36.2), rash (28.6%, 95% CI 15.4-44.0), ALT increased (23.1%, 95% CI 17.6-29.2), and AST increased (23.1%, 95% CI 17.5-29.1). The most common grade &#x2265;3 irAEs were lipase increased (16.7%, 95% CI 5.8-31.8), colitis (5.8%, 95%CI 2.9-9.6), ALT increased (5.3%, 95% CI 0.1-12.8), AST increased (5.0%, 95% CI 0.5-14.1), and diarrhea (1.9%, 95% CI 0.2-5.4).</p>
<p>The most common irAEs varied among the different combination types and cancer types, as summarized in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S4&#x2013;8</bold>
</xref>. In RCTs, the most common any-grade irAEs were rash (57.7%) and fatigue (42.4%) and the most common and grade &#x2265;3 irAEs were AST increased (10.4%) and ALT increased (9.3%) in nivolumab plus ipilimumab group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>). The most common any-grade and grade &#x2265;3 irAEs was hyperglycemia (54.6%, 18.2%) in durvalumab plus tremelimuma group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). The most common irAEs of any-grade were acneiform rash (52.4%) in NSCLC (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>), rash (28.6%) in patients with HNCs (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S7</bold>
</xref>), and fatigue (58.2%) in melanoma group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>).</p>
<p>In single-arm studies, the most common any-grade irAEs were rash (32.0%) and fatigue (30.4%) and the most common grade &#x2265;3 irAEs were lipase increased (14.9%) and ALT increased (8.2%) in nivolumab plus ipilimumab group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>). The most common any-grade irAEs was fatigue (29.6%), and the most common grade &#x2265;3 irAEs was lipase increased (14.3%) in durvalumab plus tremelimuma group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). The most common any grade irAEs were fatigue (42.9%, 35.9%) in the HNCs and melanoma groups and rash (44.4%) in NSCLC group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S6&#x2013;8</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>The impact of the irAEs in the treatment</title>
<p>Due to the occurrence of irAEs, a number of patients did not complete the prescribed neoadjuvant treatment cycle. In RCTs, 9.4% (95% CI 2.1&#x2013;21.1) of patients did not complete the prescribed neoadjuvant treatment cycle due to irAEs (such as grade 2-4 diarrhea/colitis, grade 2-3 ALT increased, grade 2 pneumonitis/arthralgia, grade 3 rash/meningitis/radiculitis). And in single-arm studies, 6.9% (95%CI 0.4-20.1) of patients did not complete the prescribed neoadjuvant treatment cycle due to irAEs (such as colitis/ileitis/gastritis/hepatitis) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Treatment of severe irAEs has only been reported in a few studies. Ferrarotto, R. et&#xa0;al. mentioned that two patients with immune-related transaminitis and diarrhea were treated with steroids (<xref ref-type="bibr" rid="B17">17</xref>). One patient developed pneumonia and pneumonitis requiring steroids in the research of Cascone, T (<xref ref-type="bibr" rid="B21">21</xref>). In addition, there has been one case of a patient with immune-related encephalitis who was treated with steroids but died (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Incidence of neoadjuvant therapy discontinuation in RCTs and single-arm studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1269067-g004.tif"/>
</fig>
<p>A small percentage of patients have surgery delayed due to irAEs. In RCTs, only 3 of the 188 patients reported experienced surgery delayed (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S9</bold>
</xref>). And in single-arm studies, only 6 of the 273 patients reported experienced surgery delayed (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S10</bold>
</xref>). Eight studies reported postoperative adjuvant treatment. Most of patients chose monotherapy immunotherapy, chemotherapy or radiotherapy during the postoperative adjuvant treatment phase. In three studies reported by Amaria, R.N., Hanna, G.J., Kaseb, A.O., the adjuvant therapy was treated in the same way as the neoadjuvant phase (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S11</bold>
</xref>) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this meta-analysis, we found that more than 85% of patients developed irAEs during neoadjuvant immunotherapy both in the RCTs and in the single-arm studies, and approximately 1/5 of these patients developed grade &#x2265; 3 irAEs. Subsequently, we conducted a subgroup analysis of different cancer and intervention types. The incidence of irAEs varied among different tumors and treatment types. In addition, we found that the most common irAEs associated with neoadjuvant combination immunotherapy were fatigue, rash, abnormal liver function (ALT/AST increased), and gastrointestinal reactions (diarrhea, colitis) in both the RCTs and single-arm studies. No more than 10% of patients stopped neoadjuvant therapy and very few patients delayed surgery due to irAEs.</p>
<p>The administration of ICIs during neoadjuvant therapy is believed to enhance systemic T cells, which can respond to tumor antigens and activate the immune system. Compared with adjuvant therapy after surgical excision, high-burden tumors activate more circulating tumor-specific T cells, which exert beneficial anti-tumor effects (<xref ref-type="bibr" rid="B31">31</xref>). Liu et&#xa0;al. constructed a mouse model of spontaneously metastasized breast cancer that was given immunotherapy before or after surgical resection of the primary tumor, and found that the survival rate of mice receiving neoadjuvant immunotherapy was significantly higher than that of mice receiving adjuvant therapy. Improved survival was associated with more tumor-specific CD8 T cells in the blood of the mice (<xref ref-type="bibr" rid="B32">32</xref>). A randomized trial of recurrent glioblastoma showed a significant improvement in overall survival in the patients received neoadjuvant pembrolizumab compared to the patients recevied PD-1 blockade alone (<xref ref-type="bibr" rid="B33">33</xref>). Neoadjuvant therapy showed greater amplification of tumor-resident T cell clones in peripheral blood (<xref ref-type="bibr" rid="B6">6</xref>). However, overreactions of the immune system are also prone to irAEs, especially with combination immunotherapy (<xref ref-type="bibr" rid="B34">34</xref>). The incidence of severe toxicity in the neoadjuvant population appears to exceed that in the adjuvant population (<xref ref-type="bibr" rid="B31">31</xref>). By analyzing blood samples from patients with melanoma before ICI treatment, Lozano et&#xa0;al. found that activated CD4 memory T cell abundance and T cell receptor diversity were associated with severe irAEs (<xref ref-type="bibr" rid="B35">35</xref>). It is critical to understand the fatal events associated with ICI treatment and promote early identification, optimal assessment, and effective management. The IMCISION trial (<xref ref-type="bibr" rid="B20">20</xref>) showed that in patients with HNC, the use of nivolumab plus ipilimumab prior to extensive surgery was safe, but 38% of grade&#x2265; 3 irAEs were still observed. Two ICIs increased the risk of organ-specific irAEs compared to ICI monotherapy (<xref ref-type="bibr" rid="B36">36</xref>). IrAEs most commonly occurred during the first 3 months of treatment but appeared at any time after treatment or even several months after treatment was terminated (<xref ref-type="bibr" rid="B37">37</xref>). This highlights the need for close monitoring of the occurrence of irAEs in patients during the neoadjuvant and postoperative stages.</p>
<p>A previous meta-analysis showed that the common AEs of adjuvant immunotherapy in patients with advanced tumors were fatigue, rash, gastrointestinal toxicity (diarrhea, nausea, and vomiting), and liver toxicity (ALT increased) (<xref ref-type="bibr" rid="B38">38</xref>), which was similar to our results. Once irAEs, such as immune hepatitis, gastrointestinal toxicity, occur, most can be managed by discontinue or delaying the use of ICIs or administering corticosteroids. Mild-to-moderate dermal toxicity can be effectively controlled using topical drugs; in most cases, treatment interruption is not required. Hormone replacement therapy is needed in patients with endocrine diseases, such as hypothyroidism and thyroiditis (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). However, a meta-analysis has shown that corticosteroid administration is associated with poor overall survival and progression-free survival in patients with brain metastasis. Therefore, further determination of the steroid dose and duration of administration is needed to optimize survival outcomes in patients receiving ICIs (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Our study has several advantages. First, only AEs related to neoadjuvant immunotherapy were evaluated, which can help us understand the safety of this emerging therapy. Second, subgroup analyses based on cancer and ICI types were conducted. Third, specific AEs in neoadjuvant immunotherapy were analyzed, allowing clinicians to understand which AEs require extra attention.</p>
<p>However, this study had some limitations. First, the included studies were almost all single-arm, small-sample studies, and there was a large difference in sample size between individual studies. Second, the number of studies included was insufficient to analyze the safety of specific subgroups (such as the same combination of drug interventions for the same tumor type), and the presence of confounding factors may have affected the results of small-sample subgroups. Heterogeneity between studies was high, and the sources of heterogeneity could only be explored through limited subgroup analyses. Third, the occurrence, duration, and treatment of irAEs could not be analyzed. In addition, the different criteria for AEs are limitations of this study. Therefore, large-scale studies, especially RCTs, are required. We hope to provide more complete results in future studies.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Our study comprehensively analyzed the occurrence of irAEs in neoadjuvant immunotherapy. Most patients receiving neoadjuvant combination immunotherapy developed irAEs, and only about 20% of them developed grade &#x2265;3 irAEs. The occurrence of irAEs varied slightly between different tumors and interventions, and mainly included cutaneous, gastrointestinal, and hepatic toxicity. Nearly 10% of patients needed to stop neoadjuvant immunotherapy due to irAEs, but few case had surgery delayed. It is important to correctly evaluate AEs and promptly intervene. An increasing number of immunotherapies are being evaluated; however, choosing the appropriate combination of drugs, order of administration, and dose to increase efficacy and reduce AEs remains a challenge.</p>
</sec>
<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>YF: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. KG: Data curation, Investigation, Methodology, Writing &#x2013; original draft. HJ: Investigation, Methodology, Writing &#x2013; review &amp; editing. JJ: Investigation, Writing &#x2013; review &amp; editing. MW: Investigation, Writing &#x2013; review &amp; editing. SL: Investigation, Supervision, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was financially supported by Zhejiang Lin Shengyou famous traditional Chinese medicine expert inheritance studio project (GZS202002), the medical and health research project of Zhejiang province (2024KY1328), Hangzhou medical health science and technology project (A20230054).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Editage (<ext-link ext-link-type="uri" xlink:href="http://www.editage.cn">www.editage.cn</ext-link>) for English language editing.</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="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="s11" 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/fimmu.2023.1269067/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1269067/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="DataSheet_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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