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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1625259</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy in gastric cancer and gastroesophageal junction adenocarcinoma: a systematic review and meta-analysis of single-arm studies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Leng</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3061178/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Qianwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Huaiwu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Jin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>North Sichuan Medical College</institution>, <addr-line>Nanchong, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of General Surgery, Mian Yang 404 Hospital</institution>, <addr-line>Mianyang, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Gastrointestinal Surgery, Mianyang Hospital</institution>, <addr-line>Mianyang, Sichuan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Dongxu Wang, Shandong University, China</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Biswajit Das, University of California, Santa Cruz, United States</p>
<p>Payal Mitra, George Washington University, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Jin Chen, <email>Chenjin404@sohu.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1625259</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Leng, Liu, Wang, Jiang and Chen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Leng, Liu, Wang, Jiang and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Neoadjuvant chemotherapy, particularly neoadjuvant immunotherapy, has achieved significant progress in treating gastric cancer (GC) and gastroesophageal junction (GEJ) adenocarcinoma. While PD-1/PD-L1 inhibitors have improved survival outcomes in some patients, the efficacy of combining neoadjuvant chemotherapy with PD-1/PD-L1 inhibitors remains insufficiently validated.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>This study aims to evaluate the efficacy and safety of neoadjuvant chemotherapy combined with PD-1/PD-L1 inhibitors in GC/GEJ adenocarcinoma and enhance statistical power through meta-analysis.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library up to October 5, 2024, for original clinical studies on neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy for GC/GEJ adenocarcinoma. Eligible studies were evaluated using the Methodological Index for Non-Randomized Studies (MINORS) Criteria. Meta-analysis was performed using R 4.4.2 software.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>A total of 12 studies involving 428 patients were included. The primary efficacy outcomes were pathological complete response (pCR) and major pathological response (MPR), while secondary outcomes included disease control rate (DCR) and the rate of lymph node downstaging to ypN0. The effect size (ES) for pCR was 20.94% [95% CI: 0.1698; 0.2518], and for MPR, the ES was 55.86% [95% CI: 0.4891; 0.6271]. Safety was evaluated using the incidence of grade &#x2265;3 treatment-related adverse events (trAEs), immune-related adverse events (irAEs), postoperative complications, and R0 resection rate. The meta-analysis revealed that 406 patients underwent surgical intervention, with 88 achieving pCR. The pooled effect size for R0 resection rate was 95.2% [95% CI: 0.896; 0.989]. The ES values for grade &#x2265;3 adverse events, immune-related adverse events, and postoperative complications were 0.54 [95% CI: 0.30; 0.77], 0.17 [95% CI: 0.07; 0.31], and 0.28 [95% CI: 0.15; 0.44], respectively.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>Neoadjuvant PD-1/PD-L1 inhibitor-based chemotherapy demonstrates promising therapeutic efficacy and safety in patients with gastric and gastroesophageal junction (GEJ) cancer. However, limitations such as small sample sizes and insufficient follow-up duration in current studies highlight the need for further randomized controlled trials and multicenter research to establish optimal treatment strategies.</p>
</sec>
<sec>
<title>Systamatic review registration</title>
<p>Identifier, CRD42024619916.</p>
</sec>
</abstract>
<kwd-group>
<kwd>combination therapy</kwd>
<kwd>efficacy</kwd>
<kwd>meta-analysis</kwd>
<kwd>neoadjuvant immunotherapy</kwd>
<kwd>gastric cancer/gastroesophageal junction tumors</kwd>
<kwd>safety</kwd>
<kwd>PD-1/PD-L1 inhibitors</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="10"/>
<word-count count="5066"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gastroenterology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>In the 21st century, gastric cancer remains a major global health threat, ranking as the fourth leading cause of cancer-related mortality (7.7%), following lung (18%), colorectal (9.4%), and liver cancers (8.3%) (<xref ref-type="bibr" rid="ref1">1</xref>). Over the past half-century, declining <italic>Helicobacter pylori</italic> prevalence and improved food preservation have significantly reduced the incidence and mortality of non-cardia gastric cancer (<xref ref-type="bibr" rid="ref2">2</xref>). However, the incidence of gastroesophageal junction (GEJ) cancer has risen in some countries. Although R0 resection rates for GEJ cancer are comparable to those for non-cardia gastric cancer, systemic recurrence rates are significantly higher (&#x002A;<italic>p</italic>&#x002A;&#x202F;=&#x202F;0.031), and median survival is markedly shorter (26&#x202F;months vs. 69&#x202F;months; &#x002A;<italic>p</italic>&#x002A;&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Surgical resection remains the primary curative approach for gastric cancer and the most effective method to prolong patient survival (<xref ref-type="bibr" rid="ref4">4</xref>). In operable gastric or lower esophageal adenocarcinoma, neoadjuvant chemotherapy reduces tumor size and stage, significantly increases R0 resection rates, and improves progression-free survival and overall survival (<xref ref-type="bibr" rid="ref5">5</xref>). In recent years, immune checkpoint inhibitors targeting cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4), programmed death (PD)-1, and PD-ligand 1 (PD-L1) have demonstrated durable responses in subsets of patients with metastatic disease (<xref ref-type="bibr" rid="ref6">6</xref>). With the expanding use of PD-1/PD-L1 inhibitors in clinical practice (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>), emerging evidence suggests that combination therapies incorporating anti-PD-1 agents may represent the future of cancer immunotherapy (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). This study aims to consolidate evidence for neoadjuvant PD-1 inhibitor therapy in gastric cancer and propose strategies for optimizing treatment regimens in G/GEJ tumors.</p>
</sec>
<sec sec-type="materials|methods" id="sec7">
<label>2</label>
<title>Materials and methods</title>
<p>This systematic review and meta-analysis were conducted and reported in accordance with the PRISMA guidelines. The study protocol was registered on PROSPERO (Registration ID: CRD42024619916).</p>
<sec id="sec8">
<label>2.1</label>
<title>Search strategy</title>
<p>We systematically searched health-related databases, including PubMed, Web of Science, Embase, and the Cochrane Library. Search strings incorporated Medical Subject Headings (MeSH) terms such as &#x201C;gastric cancer,&#x201D; &#x201C;neoadjuvant therapy,&#x201D; and &#x201C;Esophagogastric Junction,&#x201D; combined in various Boolean configurations. The search was limited to studies published from database inception to October 2024. Two researchers independently screened and categorized retrieved studies. Discrepancies were resolved through full-text review and discussion with a third reviewer. Multiple search iterations were performed to ensure comprehensiveness and accuracy.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<sec id="sec10">
<label>2.2.1</label>
<title>Inclusion criteria</title>
<p>
<list list-type="order">
<list-item>
<p>Participants diagnosed with gastroesophageal junction (GEJ) or gastric cancer, regardless of sex, age, anatomical subsite, or tumor stage;</p>
</list-item>
<list-item>
<p>Treatment protocols involving PD-1/PD-L1 inhibitors combined with neoadjuvant therapy;</p>
</list-item>
<list-item>
<p>Reported outcomes including pathological complete response (pCR), major pathological response (MPR), objective response rate (ORR), event-free survival (EFS), overall survival (OS), and incidence of grade &#x2265;3 treatment-related adverse events (TRAEs) or immune-related adverse events.</p>
</list-item>
</list>
</p>
</sec>
<sec id="sec11">
<label>2.2.2</label>
<title>Exclusion criteria</title>
<p>Animal studies, <italic>in vitro</italic>/cell-based research, reviews, meta-analyses, duplicates, case reports, or letters. For studies using overlapping datasets, only the most recent publication was included.</p>
</sec>
</sec>
<sec id="sec12">
<label>2.3</label>
<title>Data extraction</title>
<p>Two researchers independently extracted data from full-text articles, including the following variables: first author, publication year, NCT number, median age, study design, sample size, intervention regimen, pCR, R0 resection rate, MPR, DCR, lymph node downstaging to ypN0 rate, incidence of grade &#x2265;3 adverse events, postoperative complications, and overall TNM downstaging rate. Data not reported in the original studies were marked as &#x201C;NR.&#x201D; Discrepancies in data interpretation were resolved through discussion.</p>
</sec>
<sec id="sec13">
<label>2.4</label>
<title>Statistical analysis</title>
<p>This meta-analysis was performed using R software (version 4.4.2) with the &#x201C;meta&#x201D; package. Effect sizes were pooled via the inverse-variance weighting method. Proportions near 0 or 1 were adjusted using the Freeman-Tukey double arcsine transformation. Heterogeneity was assessed using <italic>&#x03C7;</italic><sup>2</sup> and <italic>Q</italic> tests (<italic>I</italic><sup>2</sup> statistic), with statistical significance set at &#x002A;<italic>p</italic>&#x002A;&#x202F;&#x003C;&#x202F;0.05. Given the predominance of single-arm trials and anticipated heterogeneity in participant characteristics across studies, a random-effects model was selected over a fixed-effects model. Heterogeneity thresholds followed Cochrane Handbook (<xref ref-type="bibr" rid="ref11">11</xref>) guidelines: <italic>I</italic><sup>2</sup>&#x202F;=&#x202F;0&#x2013;40% (negligible), 30&#x2013;60% (moderate), 50&#x2013;90% (substantial), and 75&#x2013;100% (considerable). Subgroup analyses were conducted to investigate sources of considerable heterogeneity identified in pooled results. Publication bias was evaluated using Egger&#x2019;s test, Begg&#x2019;s test, and funnel plots. Sensitivity analysis was not performed due to the predominance of single-arm studies in the included literature.</p>
</sec>
<sec id="sec14">
<label>2.5</label>
<title>Assessment of study quality and publication Bias</title>
<p>As most included studies were single-arm clinical trials, methodological quality was assessed using the Methodological Index for Non-Randomized Studies (MINORS) scale (<xref ref-type="bibr" rid="ref11">11</xref>). Studies scoring &#x2265;13 points were classified as high quality, 10&#x2013;12 points as moderate quality, and &#x2264;9 points as low quality. Two researchers independently evaluated study quality, and discrepancies were resolved through discussion with a third reviewer.</p>
</sec>
</sec>
<sec id="sec15">
<label>3</label>
<title>Literature search results</title>
<p>The initial search identified 1,773 studies. After removing 473 duplicates, 1,300 studies underwent title and abstract screening, excluding 1,249 articles. Full-text review of the remaining 63 studies led to the inclusion of 12 articles that met the eligibility criteria for this meta-analysis.</p>
<p>Among the 12 studies, 9 were single-arm trials and 3 were retrospective studies. The primary PD-1/PD-L1 inhibitors evaluated included tislelizumab, camrelizumab, durvalumab, atezolizumab, sintilimab, and pembrolizumab. Detailed study characteristics are summarized in <xref ref-type="table" rid="tab1">Table 1</xref>, and the search flowchart is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. The pooled cohort comprised 428 patients, with 406 undergoing surgical intervention. Of these, 378 patients (93.1%) achieved R0 resection.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Main characteristics of included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Author year</th>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">NCT number</th>
<th align="left" valign="top">Median age</th>
<th align="left" valign="top">Intervention model</th>
<th align="center" valign="top">No. of patient</th>
<th align="left" valign="top">Tumor type</th>
<th align="center" valign="top">pCR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Bao ZH 2024</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NR</td>
<td align="center" valign="top">28</td>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">4/28</td>
</tr>
<tr>
<td align="left" valign="top">Gulam A. M, 2023</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">NCT02918162</td>
<td align="left" valign="top">65.5&#x202F;years</td>
<td align="left" valign="top">pembrolizumab</td>
<td align="center" valign="top">36</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">7/34</td>
</tr>
<tr>
<td align="left" valign="top">Honghai Guo2022</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">ChiCTR2000030414</td>
<td align="left" valign="top">62&#x202F;years</td>
<td align="left" valign="top">Sintilimab</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">10/30</td>
</tr>
<tr>
<td align="left" valign="top">H.-D. Kim, 2023</td>
<td align="left" valign="top">South Korea</td>
<td align="left" valign="top">04221555</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">Durvalumab</td>
<td align="center" valign="top">40</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">9/31</td>
</tr>
<tr>
<td align="left" valign="top">Jiang H, et al. 2022</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT04065282</td>
<td align="left" valign="top">65.5&#x202F;years</td>
<td align="left" valign="top">Sintilimab</td>
<td align="center" valign="top">36</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">7/36</td>
</tr>
<tr>
<td align="left" valign="top">Jiang Q, 2023</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT04890392</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">tislelizumab</td>
<td align="center" valign="top">50</td>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">13/50</td>
</tr>
<tr>
<td align="left" valign="top">Li, N 2024</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT04341857</td>
<td align="left" valign="top">58&#x202F;years</td>
<td align="left" valign="top">sintilimab</td>
<td align="center" valign="top">32</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">5/29</td>
</tr>
<tr>
<td align="left" valign="top">Verschoor, Y L 2024</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">NCT03448835</td>
<td align="left" valign="top">62&#x202F;years</td>
<td align="left" valign="top">atezolizumab</td>
<td align="center" valign="top">21</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">9/20</td>
</tr>
<tr>
<td align="left" valign="top">Xuchen Zhang 2023</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NR</td>
<td align="left" valign="top">60.1&#x202F;years</td>
<td align="left" valign="top">NR</td>
<td align="center" valign="top">34</td>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">8/34</td>
</tr>
<tr>
<td align="left" valign="top">Yin Y, 2022</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT04890392</td>
<td align="left" valign="top">60.5&#x202F;years</td>
<td align="left" valign="top">tislelizumab</td>
<td align="center" valign="top">32</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">8/30</td>
</tr>
<tr>
<td align="left" valign="top">Zhao, Yuzhou2024</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT03939962</td>
<td align="left" valign="top">58&#x202F;years</td>
<td align="left" valign="top">camrelizumab</td>
<td align="center" valign="top">60</td>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">5/55</td>
</tr>
<tr>
<td align="left" valign="top">Zhong, WJ, 2024</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">NCT05602935</td>
<td align="left" valign="top">62&#x202F;years</td>
<td align="left" valign="top">camrelizumab</td>
<td align="center" valign="top">29</td>
<td align="left" valign="top">G/GEJ</td>
<td align="center" valign="top">3/29</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Author year</th>
<th align="center" valign="top">R0</th>
<th align="center" valign="top">MPR</th>
<th align="center" valign="top">DCR</th>
<th align="center" valign="top">ypN0 rate</th>
<th align="center" valign="top">trAEs</th>
<th align="center" valign="top">irAEs</th>
<th align="center" valign="top">Postoperative complications</th>
<th align="center" valign="top">Tumor downstaging</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Bao ZH 2024</td>
<td align="center" valign="top">23/28</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">11/28</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Gulam A. M, 2023</td>
<td align="center" valign="top">27/28</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">22/28</td>
<td align="center" valign="top">20/34</td>
<td align="center" valign="top">12/34</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Honghai Guo2022</td>
<td align="center" valign="top">30/30</td>
<td align="center" valign="top">19/30</td>
<td align="center" valign="top">30/30</td>
<td align="center" valign="top">19/30</td>
<td align="center" valign="top">27/30</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">H.-D. Kim, 2023</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Jiang H, et al. 2022</td>
<td align="center" valign="top">35/36</td>
<td align="center" valign="top">17/36</td>
<td align="center" valign="top">36/36</td>
<td align="center" valign="top">21/36</td>
<td align="center" valign="top">10/36</td>
<td align="center" valign="top">3/36</td>
<td align="center" valign="top">7/36</td>
<td align="center" valign="top">27/36</td>
</tr>
<tr>
<td align="left" valign="top">Jiang Q, 2023</td>
<td align="center" valign="top">50/50</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">37/50</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">13/50</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">Li, N 2024</td>
<td align="center" valign="top">27/29</td>
<td align="center" valign="top">16/29</td>
<td align="center" valign="top">31/32</td>
<td align="center" valign="top">16/29</td>
<td align="center" valign="top">19/32</td>
<td align="center" valign="top">6/32</td>
<td align="center" valign="top">15/29</td>
<td align="center" valign="top">19/29</td>
</tr>
<tr>
<td align="left" valign="top">Verschoor, Y L 2024</td>
<td align="center" valign="top">19/29</td>
<td align="center" valign="top">14/20</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">4/20</td>
<td align="center" valign="top">2/20</td>
<td align="center" valign="top">11/20</td>
<td align="center" valign="top">13/20</td>
</tr>
<tr>
<td align="left" valign="top">Xuchen Zhang 2023</td>
<td align="center" valign="top">33/34</td>
<td align="center" valign="top">13/34</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">10/34</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">22/34</td>
</tr>
<tr>
<td align="left" valign="top">Yin Y, 2022</td>
<td align="center" valign="top">30/30</td>
<td align="center" valign="top">17/30</td>
<td align="center" valign="top">29/30</td>
<td align="center" valign="top">4/32</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">21/32</td>
</tr>
<tr>
<td align="left" valign="top">Zhao, Yuzhou2024</td>
<td align="center" valign="top">51/55</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">30/55</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">37/55</td>
</tr>
<tr>
<td align="left" valign="top">Zhong, WJ, 2024</td>
<td align="center" valign="top">28/29</td>
<td align="center" valign="top">20/29</td>
<td align="center" valign="top">29/29</td>
<td align="center" valign="top">20/29</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">3/29</td>
<td align="center" valign="top">25/29</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>pCR, Pathological Complete Response; R0, Resection with Negative Margins; MPR, Major Pathological Response; DCR, Disease Control Rate; trAEs, Treatment-Related Adverse Events; irAEs, Immune-Related Adverse Events; ypN0 Rate, Rate of Downstaging to ypN0; Postoperative Complications, the incidence of postoperative complications.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Explicitly described in the Literature Search Results section as the &#x201C;search flowchart&#x201D; detailing study inclusion/exclusion (1,773 records screened &#x2192; 12 included studies).</p>
</caption>
<graphic xlink:href="fmed-12-1625259-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting the identification of studies via databases and registers. Initially, 1773 records were identified: 468 from PubMed, 668 from Embase, 32 from Cochrane Library, and 605 from Web of Science. After removing 473 duplicates, 1300 records were screened. Of these, 1249 were excluded for reasons like being a case report, review, or outside the field of interest. Fifty-one reports were sought for retrieval, with twelve assessed for eligibility. Thirty-nine full texts were excluded for reasons such as not being related to esophagogastric cancer, not focusing on neoadjuvant treatment, or lacking data. Twelve studies were included in the review.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="results" id="sec16">
<label>4</label>
<title>Results</title>
<sec id="sec17">
<label>4.1</label>
<title>Primary outcomes</title>
<sec id="sec18">
<label>4.1.1</label>
<title>Pathological complete response rate (pCR)</title>
<p>Pathological complete response (pCR) is defined as the absence of residual cancer cells in both the primary tumor and lymph nodes after treatment, confirmed by postoperative pathological examination. Patients achieving pCR demonstrate prolonged overall survival and disease-free survival (<xref ref-type="bibr" rid="ref12">12</xref>), with 5-year survival rates for certain cancers improving to 60&#x2013;70% (<xref ref-type="bibr" rid="ref13">13</xref>). Additionally, pCR serves as a surrogate endpoint in clinical trials to guide subsequent therapies and expedite drug approvals. The pooled pCR rate was 21.5% [95%:0.162; 0.271], with moderate heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;42.71%, <italic>p</italic>&#x202F;=&#x202F;0.0576) (<xref ref-type="fig" rid="fig2">Figure 2</xref>). A random-effects model was selected based on the observed heterogeneity levels.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Directly referenced in the Pathological Complete Response Rate results (pCR analysis with I&#x00B2; = 42.71%).</p>
</caption>
<graphic xlink:href="fmed-12-1625259-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot showing the results of multiple studies with their events, total participants, weight, and random effects model with ninety-five percent confidence intervals. Each study is represented by a square on a horizontal line, indicating its confidence interval. The overall effect estimate is shown as a diamond. Heterogeneity indicators are included at the bottom.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<label>4.1.2</label>
<title>Major pathological response (MPR)</title>
<p>Major Pathological Response (MPR) is defined as a significant reduction in the proportion of residual viable tumor cells following neoadjuvant therapy (<xref ref-type="bibr" rid="ref14">14</xref>). The analysis revealed an effect size (ES) of 56.3% [95%CI: 0.475; 0.649] (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), with heterogeneity results of (<italic>p</italic>&#x202F;=&#x202F;0.1522; <italic>I</italic><sup>2</sup>&#x202F;=&#x202F;36.18%).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Matches subplots described in Major Pathological Response <bold>(A)</bold> and R0 Resection Rate <bold>(B)</bold> results.</p>
</caption>
<graphic xlink:href="fmed-12-1625259-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plots titled A and B display meta-analysis results. Plot A includes studies from Honghai Guo 2022 to Zhong WJ 2024, showing a pooled effect size of 0.563. Plot B includes studies from Bao ZH 2024 to Zhong WJ 2024, with a pooled effect size of 0.952. Both plots feature individual study effect sizes with confidence intervals and heterogeneity statistics.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec20">
<label>4.1.3</label>
<title>R0 resection rate</title>
<p>R0 resection rate refers to the complete removal of a malignant tumor with microscopically negative margins, indicating no residual cancer cells at the surgical site (<xref ref-type="bibr" rid="ref15">15</xref>). The pooled effect size for R0 resection was 95.2% [95% CI: 0.896; 0.989] (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). Significant heterogeneity was observed (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001; <italic>I</italic><sup>2</sup>&#x202F;=&#x202F;72.07%), prompting the use of a random-effects model.</p>
</sec>
</sec>
<sec id="sec21">
<label>4.2</label>
<title>Secondary outcomes</title>
<sec id="sec22">
<label>4.2.1</label>
<title>Disease control rate (DCR)</title>
<p>Disease Control Rate (DCR) evaluates the short-term efficacy of antitumor therapies in halting disease progression. The pooled DCR effect size was 0.99 [0.98; 1.00] (<xref ref-type="fig" rid="fig4">Figure 4A</xref>), with low heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;18.3%, <italic>p</italic>&#x202F;=&#x202F;0.2983). A random-effects model was applied.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Aligns with secondary outcomes in results: DCR <bold>(A)</bold>, lymph node downstaging <bold>(B)</bold>, and overall tumor downstaging <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fmed-12-1625259-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three forest plots labeled A, B, and C summarize meta-analysis results. Plot A shows high event proportions, all near or at 1.00. Plot B shows varied proportions, lower overall, around 0.39 to 0.69. Plot C shows moderate proportions around 0.65 to 0.86. Each plot includes random and common effect models, weights, confidence intervals, and heterogeneity statistics. Plot A has low heterogeneity, Plot B has moderate, and Plot C has the lowest. Each plot displays summary diamonds representing overall estimates.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec23">
<label>4.2.2</label>
<title>Lymph node downstaging to ypN0</title>
<p>Lymph node downstaging to ypN0 indicates the disappearance of metastatic lymph nodes post-treatment, assessed pathologically or radiologically, which correlates with improved prognosis (<xref ref-type="bibr" rid="ref16">16</xref>). Among 7 studies reporting this outcome, the pooled effect size was 0.53 [95%CI: 0.38; 0.68] (<xref ref-type="fig" rid="fig4">Figure 4B</xref>), with substantial heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;83.3%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). A random-effects model was used.</p>
</sec>
<sec id="sec24">
<label>4.2.3</label>
<title>Overall tumor downstaging rate</title>
<p>Overall tumor downstaging reflects the reduction in clinical tumor stage following neoadjuvant therapies (chemotherapy, radiotherapy, targeted therapy, or immunotherapy), facilitating surgical resection and improving prognosis. The pooled effect size was 0.70 [95%CI: 0.64; 0.76] (<xref ref-type="fig" rid="fig4">Figure 4C</xref>), with negligible heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;7.0%, <italic>p</italic>&#x202F;=&#x202F;0.3746).</p>
</sec>
<sec id="sec25">
<label>4.2.4</label>
<title>Treatment-related adverse events (trAEs)</title>
<p>Grade &#x2265;3 treatment-related adverse events (trAEs) are severe side effects directly attributable to therapeutic interventions, critical for evaluating treatment safet (<xref ref-type="bibr" rid="ref17">17</xref>). The pooled incidence rate was 0.54 [95%CI: 0.30; 0.77] (<xref ref-type="fig" rid="fig5">Figure 5A</xref>), with significant heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;90.3%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Corresponds to safety analyses for trAEs <bold>(A)</bold>, irAEs <bold>(B)</bold>, and postoperative complications <bold>(C)</bold> in results.</p>
</caption>
<graphic xlink:href="fmed-12-1625259-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot showing three panels labeled A, B, and C, each depicting meta-analysis results. Panel A includes five studies, showing a random effects model proportion of 0.54 with a confidence interval of 0.30 to 0.77. Panel B includes four studies, with a random effects model proportion of 0.17 and a confidence interval of 0.07 to 0.31. Panel C includes six studies, showing a random effects model proportion of 0.28 with a confidence interval of 0.15 to 0.44. Heterogeneity statistics and event proportions for each study are provided.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec26">
<label>4.2.5</label>
<title>Immune-related adverse events (irAEs)</title>
<p>Immune-related adverse events (irAEs) are critical markers of toxicity risk associated with immune checkpoint inhibitors (<xref ref-type="bibr" rid="ref18">18</xref>). Across 6 studies (total <italic>N</italic>&#x202F;=&#x202F;186), the pooled incidence of irAEs was 0.17 [95% CI: 0.07; 0.31] (<xref ref-type="fig" rid="fig5">Figure 5B</xref>), with moderate heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;68.3%, <italic>p</italic>&#x202F;=&#x202F;0.0238). A random-effects model was employed.</p>
</sec>
<sec id="sec27">
<label>4.2.6</label>
<title>Postoperative complications</title>
<p>Postoperative complications, including leukopenia, neutropenia, and hemoglobin reduction, are adverse events occurring during or after surgery that may prolong recovery or threaten survival. The pooled odds ratio (OR) for complications was 0.28 [95%CI: 0.15; 0.44] (<xref ref-type="fig" rid="fig5">Figure 5C</xref>), with substantial heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;77.7%, <italic>p</italic>&#x202F;=&#x202F;0.0004). A random-effects model was selected.</p>
</sec>
</sec>
<sec id="sec28">
<label>4.3</label>
<title>Sensitivity analysis</title>
<p>Sensitivity analysis was performed by sequentially removing each included study to ensure the final pooled results were not significantly influenced by any single trial. During the pCR analysis, Verschoor, Y L 2024 was identified as the primary contributor to heterogeneity. Removing this study reduced heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;31.3%). However, the remaining 11 studies still demonstrated a significant treatment effect (0.20 [95% CI: 0.15; 0.25]). In the DCR sensitivity analysis, removing Yin Y, 2022 (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;0.8%) and Li, N 2024 (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;2.4%) significantly reduced heterogeneity, while the overall effect estimate remained largely unchanged. The heterogeneity observed for MPR was primarily attributed to Xuchen Zhang 2023; removing this study resulted in a significant reduction in heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;0%). For Lymph Node Downstaging to ypN0, heterogeneity was primarily associated with Yin Y, 2022; its removal led to a significant reduction in heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;48.4%), and the effect size showed no substantial change. Conclusion: The sensitivity analysis results continue to support the efficacy and safety of combining neoadjuvant PD-1/PD-L1 inhibitors with chemotherapy.</p>
</sec>
<sec id="sec29">
<label>4.4</label>
<title>Exploratory subgroup analysis</title>
<sec id="sec30">
<label>4.4.1</label>
<title>Subgroup analysis by PD-1 inhibitor type</title>
<p>Among the 10 studies included, 3 used sintilimab, 2 tislelizumab, 2 camrelizumab, 1 atezolizumab, 1 durvalumab, and 1 pembrolizumab. Subgroup analyses were performed to evaluate potential differences in efficacy and safety across PD-1 inhibitor types, focusing on key outcomes such as pCR and R0 resection rates. Significant differences in pCR rates were observed among PD-1 inhibitor subtypes (&#x002A;<italic>p</italic>&#x002A;&#x202F;=&#x202F;0.0051). No significant variations were detected in MPR, DCR, or lymph node downstaging to ypN0 rates.</p>
</sec>
<sec id="sec31">
<label>4.4.2</label>
<title>Gastric cancer (GC) group vs. mixed gastric/esophagogastric junction cancer (GC/EGJC) group</title>
<p>To investigate potential heterogeneity based on anatomical tumor location, we stratified the included studies into two subgroups: a Gastric Cancer (GC) group and a Mixed Gastric/Esophagogastric Junction Cancer (GC/EGJC) group. Subgroup analysis revealed no statistically significant differences in rates of pathological complete response (pCR) (<italic>p</italic>&#x202F;=&#x202F;0.6715) or R0 resection (<italic>p</italic>&#x202F;=&#x202F;0.5829) between these groups.</p>
</sec>
<sec id="sec32">
<label>4.4.3</label>
<title>PD-1 inhibitor vs. PD-L1 inhibitor subgroups</title>
<p>Subgroup analyses compared PD-1 inhibitors (&#x002A;<italic>n</italic>&#x002A;&#x202F;=&#x202F;8 studies) and PD-L1 inhibitors (Verschoor YL 2024, Kim HD 2023). The PD-L1 subgroup showed a higher pooled pCR rate (0.21 [95% CI: 0.16; 0.27]) than the PD-1 subgroup (0.19 [95% CI: 0.15; 0.25]), with significant inter-subgroup heterogeneity (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;4.01, df&#x202F;=&#x202F;1; &#x002A;<italic>p</italic>&#x002A;&#x202F;=&#x202F;0.0453). Postoperative complication rates were also higher in the PD-L1 subgroup (0.31 [95% CI: 0.15; 0.49]) compared to the PD-1 subgroup (0.26 [95% CI:0.11; 0.43]; <italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;4.27, df&#x202F;=&#x202F;1; &#x002A;<italic>p</italic>&#x002A;&#x202F;=&#x202F;0.0389). No significant differences were observed in grade &#x2265;3 adverse events, irAEs, MPR, or tumor downstaging rates. These findings suggest that therapeutic efficacy may vary by target (PD-1 vs. PD-L1), though overall safety profiles remain comparable.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec33">
<label>5</label>
<title>Discussion</title>
<p>Over the past decades, therapeutic advancements in gastric cancer (GC) have expanded treatment options, including perioperative chemotherapy and adjuvant chemoradiotherapy, which reduce recurrence risks and improve survival. Immune checkpoint inhibitors (ICIs) and targeted therapies are now incorporated into clinical guidelines globally. For instance, HER2-targeted therapies have improved objective response rates (ORR: 47.3% vs. 34.5%) and progression-free survival (PFS: 6.7 vs. 5.5&#x202F;months; HR: 0.71, 95% CI: 0.59&#x2013;0.85; &#x002A;<italic>p</italic>&#x002A;&#x202F;&#x003C;&#x202F;0.0002) (<xref ref-type="bibr" rid="ref19">19</xref>). ICIs, particularly PD-1/PD-L1 inhibitors, have shown promise in untreated advanced or metastatic GC patients with high microsatellite instability (MSI-H) or mismatch repair deficiency (dMMR) (<xref ref-type="bibr" rid="ref20">20</xref>), offering new hope for unresectable cases. Unlike conventional therapies, immunotherapy exerts antitumor effects by activating the host immune system and reversing immune suppression. Emerging evidence suggests that immunotherapy can potentiate T-cell responses against tumor antigens while enhancing the detection and elimination of micrometastatic deposits beyond the resected tumor margins. When combined with chemotherapeutic agents (e.g., paclitaxel, platinum compounds), it may induce immunogenic cell death (ICD), triggering the release of damage-associated molecular patterns (DAMPs) that enhance antigen presentation by APCs. This mechanism synergizes with PD-1/PD-L1 inhibitors to achieve superior therapeutic efficacy. Notably, PD-1 inhibitors are now approved for unresectable/metastatic GC in several countries, despite incomplete mechanistic understanding (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p><bold>Treatment efficacy</bold>: The pooled pCR rate of 21.5% [0.162; 0.271] observed in this meta-analysis exceeds the 14.3% pCR reported in the POET trial for esophagogastric adenocarcinoma and approaches the 23% rate in the CROSS study (<xref ref-type="bibr" rid="ref22">22</xref>). Notably, Verschoor YL 2024 achieved a pCR of 45%. The mean MPR rate was 56.3% [0.475; 0.649], with 3 studies reporting MPR&#x202F;&#x003E;&#x202F;60%, including a remarkable 70% in Verschoor YL 2024.</p>
<p><bold>Safety profile</bold>: The pooled R0 resection rate of 95.2% [95% CI: 0.896; 0.989] surpasses rates from RESONANCE (73.1%) (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), CROSS (82&#x2013;85%) (<xref ref-type="bibr" rid="ref22">22</xref>), and FLOT4-AIO (84%) (<xref ref-type="bibr" rid="ref23">23</xref>), suggesting enhanced tolerability of PD-1/PD-L1 inhibitor-based neoadjuvant regimens.</p>
<p><bold>Limitations</bold>: Furthermore, this study has several limitations. First, the analyzed endpoints were short-term. Moreover, due to a lack of reported data in the included studies, critical long-term outcomes such as overall survival (OS), disease-free survival (DFS), and the incidence of adverse immune reactions were not assessable in this analysis. This omission may introduce bias regarding the long-term survival impact of this treatment regimen. Second, the overall sample size was limited, comprising only 428 patients (406 underwent surgical intervention), with merely 88 patients achieving a pathological complete response (pCR). This small sample size, particularly the low number of pCR events, results in limited statistical power. It is important to note that treatment efficacy varies significantly across different tumor types. Unfortunately, the studies included in our analysis lacked sufficient data to perform further subgroup analyses based on tumor type. Additionally, since most of the included studies were single-arm trials without control groups, residual confounding factors may have led to an overestimation of the treatment effect. Furthermore, the risk of funnel plot asymmetry is heightened due to potential publication bias, as single-arm studies with positive results are more likely to be published, while long-term negative outcomes may remain unreported.</p>
<p><bold>Future directions</bold>: Additionally, while the study results demonstrated encouraging outcomes for R0 resection rates with neoadjuvant PD-1/PD-L1 inhibitor therapy, the analysis was limited by the absence of high-quality randomized controlled trials (RCTs). Among the 12 included studies, 9 were single-arm trials and 3 were retrospective analyses. Single-arm trials cannot exclude time effects or selection bias, making it difficult to establish causal relationships. Furthermore, substantial heterogeneity existed in treatment protocols: the specific PD-1/PD-L1 inhibitors used, chemotherapy regimens, and treatment cycles were not standardized. The included patients also encompassed varying disease stages. This variability complicates the interpretation of whether these factors influenced treatment efficacy or safety. Concurrently, the lack of standardized biomarker testing and stratified study designs within the included literature represents a missed opportunity for identifying predictive biomarkers of response. Therefore, future research should focus on determining optimal neoadjuvant PD-1/PD-L1 inhibitor-based regimens to maximize rates of pathological complete response (pCR) and overall survival (OS). Key priorities include defining the optimal treatment duration and timing of surgery, and incorporating biomarker stratification (e.g., PD-L1 Combined Positive Score (CPS), Microsatellite Instability (MSI) status). The integration of biomarker-driven patient stratification will be pivotal in future clinical practice, offering significant improvements in objective response rates (ORR) and survival outcomes while minimizing ineffective treatments and associated toxicities. For example, PD-L1-negative patients, who typically exhibit response rates below 10%, could avoid unnecessary immunotherapy, thereby reducing financial burdens and the risk of immune-related adverse events (irAEs). Conversely, MSI-H patients may derive greater benefit from immunotherapy alone or de-escalated regimens, circumventing the overt use of chemotherapy (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Prospective trials should incorporate predictive biomarker analyses to validate potential signatures.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec34">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec35">
<title>Author contributions</title>
<p>JL: Data curation, Visualization, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. ML: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QW: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HJ: Methodology, Visualization, Writing &#x2013; review &#x0026; editing. JC: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec36">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The work was supported by Applied Basic Research on Omentum-Preserving Surgery for Mid/Lower Gastric Cancer (Project Number: YCH-KY-YCZD 2024-060); Expression and Clinical Implications of 5-HT2BR, PLGF, and PTN in Gastric Cancer (Project Number: 202024).</p>
</sec>
<ack>
<p>We would like to thank all the authors of this study for their contributions and dedication to this research.</p>
</ack>
<sec sec-type="COI-statement" id="sec37">
<title>Conflict of interest</title>
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<title>Supplementary material</title>
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