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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<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.2026.1782029</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Neoadjuvant PD-1 inhibitor combined with FLOT versus SOX for locally advanced gastric cancer: a retrospective cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Li</surname><given-names>Zhenshun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname><given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Duan</surname><given-names>Lili</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Wanli</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-type="author" corresp="yes">
<name><surname>Hong</surname><given-names>Liu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Fourth Military Medical University</institution>, <city>Xi&#x2019;an</city>, <state>Shaanxi</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University</institution>, <city>Xi&#x2019;an</city>, <state>Shaanxi</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Radiology, Second Affiliated Hospital of Naval Medical University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Radiology, 920th Hospital of Joint Logistics Support Force, PLA</institution>, <city>Kunming</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Liu Hong, <email xlink:href="mailto:hongliufmmu@163.com">hongliufmmu@163.com</email></corresp>
<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 publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1782029</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Zhang, Duan, Yang and Hong.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Zhang, Duan, Yang and Hong</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Neoadjuvant immunochemotherapy is increasingly used for resectable locally advanced gastric cancer (LAGC) and gastroesophageal junction (EGJ) adenocarcinoma, yet the optimal chemotherapy backbone for PD-1 blockade remains unclear. We compared neoadjuvant PD-1 inhibitor plus S-1+oxaliplatin (SOX) versus PD-1 inhibitor plus 5-FU+oxaliplatin+Docetaxel+Leucovorin (FLOT) in a real-world cohort.</p>
</sec>
<sec>
<title>Methods</title>
<p>This single-center retrospective study included patients with resectable, HER2-negative LAGC/EGJ adenocarcinoma (cT3&#x2013;4b, any N+, M0; ECOG 0&#x2013;1) treated between July 2020 and July 2025. Patients received neoadjuvant PD-1 inhibitor plus SOX or PD-1 inhibitor plus FLOT (3&#x2013;5 cycles) followed by D2 gastrectomy. The primary endpoint was pathological complete response (pCR). Secondary endpoints included major pathological response (MPR), radiologic response (RECIST v1.1), perioperative outcomes, treatment-related adverse events (CTCAE v5.0), recurrence-free survival (RFS), and overall survival (OS). Survival was analyzed using Kaplan&#x2013;Meier methods and Cox proportional hazards models.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, 247 patients were enrolled (PD-1+SOX, n=141; PD-1+FLOT, n=106) with comparable baseline characteristics. Radiologic outcomes were similar between groups (ORR: 70.92% vs 66.98%, p=0.507; DCR: 87.23% vs 85.85%, p=0.752). Pathological responses did not differ significantly (pCR: 20.57% vs 16.98%, p=0.477; MPR: 37.59% vs 31.13%, p=0.292). Any-grade treatment-related adverse events occurred in 67.38% and 75.47% of patients, and grade &#x2265;3 events in 19.15% and 26.42%, respectively; no treatment-related deaths occurred. R0 resection rates were high (100% vs 99.06%). Operative time and estimated blood loss were higher in the PD-1+FLOT group (p=0.010 and p=0.040), while postoperative complication rates were comparable. With median follow-up of 21 months (12&#x2013;52) and 20 months (10&#x2013;46), there were no significant differences in OS (HR 1.155, 95% CI 0.624&#x2013;2.138) or RFS (HR 0.805, 95% CI 0.461&#x2013;1.405). In multivariable analyses, non-MPR was an independent risk factor for both OS and RFS.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Neoadjuvant PD-1 inhibitor plus SOX and plus FLOT yielded comparable response rates, survival outcomes, and safety profiles in patients with resectable LAGC/EGJ adenocarcinoma. PD-1+SOX was associated with less operative burden, and MPR remained independently associated with OS and RFS, supporting its value for risk stratification and treatment optimization.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>neoadjuvant chemotherapy</kwd>
<kwd>pathological response</kwd>
<kwd>PD-1 inhibitor</kwd>
<kwd>survival</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="10"/>
<word-count count="3774"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Locally advanced gastric cancer (LAGC) remains a major global health burden (<xref ref-type="bibr" rid="B1">1</xref>), and neoadjuvant/perioperative therapy has been widely adopted to improve resectability and long-term outcomes (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). However, the choice of the optimal chemotherapy backbone continues to be a pivotal clinical decision, as it directly affects treatment intensity, tolerability, perioperative safety, and the likelihood of achieving meaningful pathological response. In Western practice, 5-FU+oxaliplatin+Docetaxel+Leucovorin (FLOT) is commonly used as the perioperative standard (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), whereas S-1+oxaliplatin (SOX) is frequently preferred in East Asia owing to its convenience and established efficacy in Asian populations (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The phase II DRAGON III trial recently provided direct evidence that neoadjuvant FLOT and SOX may yield comparable efficacy and safety, supporting both regimens as acceptable backbones in resectable LAGC (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>With accumulating evidence supporting the addition of PD-1 inhibitors to perioperative chemotherapy, neoadjuvant immunochemotherapy has rapidly entered routine clinical practice. Nevertheless, the optimal chemotherapy partner for PD-1 blockade remains undefined (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Although FLOT and SOX are among the most widely used and guideline-endorsed regimens, head-to-head data comparing PD-1 inhibitor plus FLOT versus PD-1 inhibitor plus SOX remain lacking. Therefore, we conducted a real-world comparative cohort study to evaluate the efficacy and safety of neoadjuvant PD-1 inhibitor combined with SOX versus FLOT in patients with resectable LAGC, and to explore prognostic factors associated with survival.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>This retrospective cohort study compared neoadjuvant PD-1 inhibitor plus SOX versus PD-1 inhibitor plus FLOT in patients with locally advanced gastric/gastroesophageal junction (G/EGJ) adenocarcinoma treated at the Department of Digestive Surgery of Xijing hospital between July 2020 and July 2025. The study was approved by the institutional ethics committee (KY20242419-C-1) and conducted in accordance with the Declaration of Helsinki.</p>
<p>Eligible patients met the following criteria: age 18&#x2013;80 years; histologically confirmed HER2-negative G/EGJ adenocarcinoma; resectable locally advanced disease on pretreatment imaging (cT3&#x2013;4b, any N+, M0) with ECOG performance status 0&#x2013;1; receipt of neoadjuvant PD-1 inhibitor combined with SOX or FLOT with an intent for curative surgery; and subsequent D2 lymphadenectomy. Key exclusion criteria included confirmed metastatic disease, addition of PD-1 inhibitor only after chemotherapy initiation, combined anti-angiogenic therapy or radiotherapy in the primary analysis, other malignancies, and missing key exposure/outcome information.</p>
</sec>
<sec id="s2_2">
<title>Treatment regimens</title>
<p>Planned neoadjuvant regimens were: PD-1 inhibitor + FLOT: 5-fluorouracil 2600 mg/m&#xb2; (24-h infusion) + leucovorin 200 mg/m&#xb2; + oxaliplatin 85 mg/m&#xb2; + docetaxel 50 mg/m&#xb2;, every 2 weeks (3&#x2013;5 cycles). PD-1 inhibitor + SOX: oxaliplatin 130 mg/m&#xb2; on day 1 + S-1&#x2013;80 mg/m&#xb2; twice daily on days 1&#x2013;14, every 3 weeks (3&#x2013;5 cycles). PD-1 inhibitors included nivolumab, pembrolizumab, serplulimab, tislelizumab, and sintilimab. The patients underwent surgery within 4&#x2013;6 weeks after completing neoadjuvant therapy. All patients underwent D2 radical gastrectomy in accordance with the Japanese gastric cancer treatment guidelines. According to the specific stage of the patient, corresponding chemotherapy regimens are provided for treatment. The chemotherapy regimen is the same as before.</p>
</sec>
<sec id="s2_3">
<title>Endpoints and assessment</title>
<p>The primary endpoint was pathological complete response (pCR). Secondary endpoints included major pathological response (MPR), radiologic response, R0 resection rate, perioperative outcomes, treatment-related adverse events, recurrence-free survival (RFS), and overall survival (OS). Adverse events were graded per CTCAE v5.0, and radiologic response was assessed by RECIST v1.1 (<xref ref-type="bibr" rid="B15">15</xref>) (CR/PR/SD/PD; ORR=CR+PR; DCR=CR+PR+SD). Pathological response was evaluated using the Becker tumor regression grading (TRG) system: TRG 1a (0% residual tumor), TRG 1b (&lt;10%), TRG 2 (10&#x2013;50%), and TRG 3 (&gt;50%). pCR was defined as TRG 1a, and MPR as TRG 1a/1b (<xref ref-type="bibr" rid="B16">16</xref>). Conversion refers to conversion from minimally invasive surgery (laparoscopic/robotic) to open surgery.</p>
</sec>
<sec id="s2_4">
<title>Follow&#x2212;up</title>
<p>After treatment, patients were followed every 3 months for the first 2 years and every 6 months from years 3 to 5 by outpatient visits and/or telephone contact. Routine assessments included physical examination, imaging studies, and laboratory tests. RFS was calculated from the date of surgery to recurrence; OS was calculated from the date of surgery to death from any cause or last follow-up. The data cutoff (last follow-up) was December 2025.</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Data analysis was performed using SPSS statistical software, version 23.0. Continuous variables are presented as the mean and standard deviation and were compared using the t-test if normally distributed, or as the median and interquartile range and were compared using the Wilcoxon rank-sum test if nonnormally distributed; categorical data are presented as numbers and percentages and were compared using the Pearson &#x3c7;2 test or Fisher&#x2019;s exact test, as appropriate. Survival was estimated using Kaplan&#x2013;Meier curves and compared with the log-rank test; hazard ratios (HRs) with 95% confidence intervals (CIs) were derived from Cox proportional hazards models. All statistical tests were two-sided. A p-value &lt;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient characteristics</title>
<p>After applying the eligibility criteria, 247 patients were enrolled, including 141 treated with PD-1 inhibitors + SOX and 106 treated with PD-1 inhibitors + FLOT. The process of patient selection is presented in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. Baseline variables were comparable between the two groups, including age (&#x2265;60 years: 57.45% vs 58.21%), sex, BMI category, ECOG score, primary site, differentiation grade, and clinical T stage distribution. PD-L1 CPS was unavailable in 40.43% (PD-1 inhibitors + SOX) and 33.02% (PD-1 inhibitors + FLOT), while MMR status was unavailable in 13.48% and 17.92%, respectively. baseline characteristics are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. PD-1 inhibitors and cycles were similar between the two groups (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref>), and there was no significant difference in postoperative adjuvant chemotherapy (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram of the patient selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1782029-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing eligibility assessment of AGC patients receiving perioperative treatment from July 2020 to July 2025, with 1,072 assessed, 247 included, and 141 receiving PD-1 inhibitor plus SOX or 106 receiving PD-1 inhibitor plus FLOT. Exclusions detail other treatments, loss to follow-up, palliative or emergency surgery, insufficient data, or not undergoing surgery.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Characteristic</th>
<th valign="middle" align="center">PD-1 inhibitors + SOX</th>
<th valign="middle" align="center">PD-1 inhibitors + FLOT</th>
<th valign="middle" rowspan="2" align="center">P value</th>
</tr>
<tr>
<th valign="middle" align="center">n=141</th>
<th valign="middle" align="center">n=106</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Age (Years)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.869</th>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;60</td>
<td valign="middle" align="center">81 (57.45)</td>
<td valign="middle" align="center">62 (58.49)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&lt;60</td>
<td valign="middle" align="center">60 (42.55)</td>
<td valign="middle" align="center">44 (41.51)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Sex</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.121</th>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">107 (75.89)</td>
<td valign="middle" align="center">89 (83.96)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">34 (24.11)</td>
<td valign="middle" align="center">17 (16.04)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">BMI (Kg/m^2)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.533</th>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;25</td>
<td valign="middle" align="center">34 (24.11)</td>
<td valign="middle" align="center">22 (20.75)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&lt;25</td>
<td valign="middle" align="center">107 (75.89)</td>
<td valign="middle" align="center">84 (79.25)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">ECOG score</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.943</th>
</tr>
<tr>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">103 (73.05)</td>
<td valign="middle" align="center">77 (72.64)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">38 (26.95)</td>
<td valign="middle" align="center">29 (27.36)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Primary site</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.545</th>
</tr>
<tr>
<td valign="middle" align="center">Esophago-gastric junction</td>
<td valign="middle" align="center">69 (48.94)</td>
<td valign="middle" align="center">56 (52.83)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Gastric</td>
<td valign="middle" align="center">72 (51.06)</td>
<td valign="middle" align="center">50 (47.17)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Degree of differentiation</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.902</th>
</tr>
<tr>
<td valign="middle" align="center">Low</td>
<td valign="middle" align="center">88 (62.41)</td>
<td valign="middle" align="center">61 (61.32)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Medium</td>
<td valign="middle" align="center">42 (29.79)</td>
<td valign="middle" align="center">31 (29.25)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">High</td>
<td valign="middle" align="center">11 (7.80)</td>
<td valign="middle" align="center">10 (9.43)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Clinical T-stage, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.313</th>
</tr>
<tr>
<td valign="middle" align="center">cT3</td>
<td valign="middle" align="center">68 (48.23)</td>
<td valign="middle" align="center">58 (54.72)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">cT4</td>
<td valign="middle" align="center">73 (51.77)</td>
<td valign="middle" align="center">48 (45.28)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Clinical N-stage, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.410</th>
</tr>
<tr>
<td valign="middle" align="center">cN0</td>
<td valign="middle" align="center">18 (12.77)</td>
<td valign="middle" align="center">20 (18.87)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">cN1</td>
<td valign="middle" align="center">65 (46.10)</td>
<td valign="middle" align="center">39 (36.79)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">cN2</td>
<td valign="middle" align="center">33 (23.40)</td>
<td valign="middle" align="center">26 (24.53)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">cN3</td>
<td valign="middle" align="center">25 (17.73)</td>
<td valign="middle" align="center">21 (19.81)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">CPS</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&lt;1</td>
<td valign="middle" align="center">23 (16.31)</td>
<td valign="middle" align="center">25 (23.58)</td>
<td valign="middle" align="center">0.293</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;1</td>
<td valign="middle" align="center">61 (43.26)</td>
<td valign="middle" align="center">46 (43.40)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&lt;5</td>
<td valign="middle" align="center">55 (39.00)</td>
<td valign="middle" align="center">47 (44.34)</td>
<td valign="middle" align="center">0.925</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;5</td>
<td valign="middle" align="center">29 (20.57)</td>
<td valign="middle" align="center">24 (22.64)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&lt;10</td>
<td valign="middle" align="center">70 (49.64)</td>
<td valign="middle" align="center">62 (58.49)</td>
<td valign="middle" align="center">0.486</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;10</td>
<td valign="middle" align="center">14 (9.93)</td>
<td valign="middle" align="center">9 (8.49)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">57 (40.43)</td>
<td valign="middle" align="center">35 (33.02)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Mismatch Repair (MMR)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">pMMR</td>
<td valign="middle" align="center">111 (78.72)</td>
<td valign="middle" align="center">81 (76.42)</td>
<td valign="middle" align="center">0.581</td>
</tr>
<tr>
<td valign="middle" align="center">dMMR</td>
<td valign="middle" align="center">11 (7.80)</td>
<td valign="middle" align="center">6 (5.66)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">19 (13.48)</td>
<td valign="middle" align="center">19 (17.92)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body Mass Index; ECOG, Eastern Cooperative Oncology Group; CPS, Combined Positive Score.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Tumor regression</title>
<p>Tumor response was assessed in all patients. Radiological response assessment by RECIST v1.1 showed that CR, PR, SD, and PD were achieved in 21 (14.89%), 79 (56.03%), 23 (14.80%), and 18 (16.31%) patients in the PD-1 inhibitors+SOX group, and 16 (15.09%), 55 (51.89%), 20 (18.87%), and 15 (14.15%) patients in the PD-1 inhibitors+FLOT group, respectively. The ORR was 70.92% vs 66.98% (p=0.507), and the DCR was 87.23% vs 85.85% (p=0.752). After surgery, pathological regression was evaluated using Becker TRG. The pCR rate was 20.57% vs 16.98% (p=0.477), and the MPR rate was 37.59% vs 31.13% (p=0.292). As detailed in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Efficacy of PD-1 inhibitors+SOX group and PD-1 inhibitors+FLOT group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Category, No. (%)</th>
<th valign="middle" align="center">PD-1 inhibitors + SOX</th>
<th valign="middle" align="center">PD-1 inhibitors + FLOT</th>
<th valign="middle" rowspan="2" align="center">P value</th>
</tr>
<tr>
<th valign="middle" align="center">n=141</th>
<th valign="middle" align="center">n=106</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Radiological Assessment</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.917</th>
</tr>
<tr>
<td valign="middle" align="center">CR</td>
<td valign="middle" align="center">21 (14.89)</td>
<td valign="middle" align="center">16 (15.09)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">PR</td>
<td valign="middle" align="center">79 (56.03)</td>
<td valign="middle" align="center">55 (51.89)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">SD</td>
<td valign="middle" align="center">23 (14.80)</td>
<td valign="middle" align="center">20 (18.87)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">PD</td>
<td valign="middle" align="center">18 (16.31)</td>
<td valign="middle" align="center">15 (14.15)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ORR</td>
<td valign="middle" align="center">100 (70.92)</td>
<td valign="middle" align="center">71 (66.98)</td>
<td valign="middle" align="center">0.507</td>
</tr>
<tr>
<td valign="middle" align="center">DCR</td>
<td valign="middle" align="center">123 (87.23)</td>
<td valign="middle" align="center">91 (85.85)</td>
<td valign="middle" align="center">0.752</td>
</tr>
<tr>
<th valign="middle" align="left">Pathological Assessment</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.489</th>
</tr>
<tr>
<td valign="middle" align="center">TRG 1a</td>
<td valign="middle" align="center">29 (20.57)</td>
<td valign="middle" align="center">18 (16.98)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">TRG 1b</td>
<td valign="middle" align="center">24 (17.02)</td>
<td valign="middle" align="center">15 (14.15)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">TRG 2</td>
<td valign="middle" align="center">56 (39.71)</td>
<td valign="middle" align="center">40 (37.74)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">TRG 3</td>
<td valign="middle" align="center">32 (22.70)</td>
<td valign="middle" align="center">33 (31.13)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">pCR</td>
<td valign="middle" align="center">29 (20.57)</td>
<td valign="middle" align="center">18 (16.98)</td>
<td valign="middle" align="center">0.477</td>
</tr>
<tr>
<td valign="middle" align="center">MPR</td>
<td valign="middle" align="center">53 (37.59)</td>
<td valign="middle" align="center">33 (31.13)</td>
<td valign="middle" align="center">0.292</td>
</tr>
<tr>
<th valign="middle" align="left">Nerve invasion</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.260</th>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">75 (53.19)</td>
<td valign="middle" align="center">64 (60.38)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">66 (46.81)</td>
<td valign="middle" align="center">42 (39.62)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Vessel invasion</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.306</th>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">56 (39.72)</td>
<td valign="middle" align="center">49 (46.23)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">85 (60.28)</td>
<td valign="middle" align="center">57 (53.77)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Pathology T-stage, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.972</th>
</tr>
<tr>
<td valign="middle" align="center">ypT0</td>
<td valign="middle" align="center">30 (21.28)</td>
<td valign="middle" align="center">19 (17.92)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypT1</td>
<td valign="middle" align="center">23 (16.31)</td>
<td valign="middle" align="center">18 (16.98)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypT2</td>
<td valign="middle" align="center">10 (7.09)</td>
<td valign="middle" align="center">8 (7.55)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypT3</td>
<td valign="middle" align="center">48 (34.04)</td>
<td valign="middle" align="center">39 (36.79)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypT4</td>
<td valign="middle" align="center">30 (21.28)</td>
<td valign="middle" align="center">22 (20.75)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Pathology N-stage, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.961</th>
</tr>
<tr>
<td valign="middle" align="center">ypN0</td>
<td valign="middle" align="center">76 (53.90)</td>
<td valign="middle" align="center">59 (55.66)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypN1</td>
<td valign="middle" align="center">22 (15.60)</td>
<td valign="middle" align="center">14 (13.21)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypN2</td>
<td valign="middle" align="center">19 (13.48)</td>
<td valign="middle" align="center">15 (14.15)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ypN3</td>
<td valign="middle" align="center">24 (17.02)</td>
<td valign="middle" align="center">18 (16.98)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Pathology TNM stage, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center">0.881</th>
</tr>
<tr>
<td valign="middle" align="center">ypT0N0</td>
<td valign="middle" align="center">29 (20.57)</td>
<td valign="middle" align="center">18 (16.98)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Stage I</td>
<td valign="middle" align="center">31 (21.99)</td>
<td valign="middle" align="center">23 (21.70)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Stage II</td>
<td valign="middle" align="center">34 (24.11)</td>
<td valign="middle" align="center">29 (27.36)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Stage III</td>
<td valign="middle" align="center">47 (33.33)</td>
<td valign="middle" align="center">36 (33.96)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CR, Complete Response; PR, Partial Response; SD, Stable Disease; PD, Progressive Disease; ORR, Objective Response Rate; DCR, Disease Control Rate; TRG, Tumor Regression Grade; MPR, Major Pathological Response.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Safety</title>
<p>During neoadjuvant treatment, any-grade treatment-related adverse events occurred in 95 (67.38%) patients in the PD-1 inhibitors+SOX group and 80 (75.47%) in the PD-1 inhibitors+FLOT group; grade &#x2265;3 events occurred in 27 (19.15%) and 28 (26.42%), respectively. The most common hematological toxicities were leukopenia, thrombocytopenia, and neutropenia, while the most common non-hematological toxicities included ALT/AST increased. No treatment-related deaths were observed (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Safety of PD-1 inhibitors+SOX group and PD-1 inhibitors+FLOT group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Events No. (%)</th>
<th valign="middle" colspan="2" align="center">PD-1 inhibitors+SOX (n=141)</th>
<th valign="middle" colspan="2" align="center">PD-1 inhibitors+FLOT (n=106)</th>
<th valign="middle" rowspan="2" align="center">P value<sup>a</sup></th>
<th valign="middle" rowspan="2" align="center">P value<sup>b</sup></th>
</tr>
<tr>
<th valign="middle" align="center">All grades</th>
<th valign="middle" align="center">&#x2265;Grade 3</th>
<th valign="middle" align="center">All grades</th>
<th valign="middle" align="center">&#x2265;Grade 3</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Treatment-related AEs</th>
</tr>
<tr>
<td valign="middle" align="center">Any</td>
<td valign="middle" align="center">95 (67.38)</td>
<td valign="middle" align="center">27 (19.15)</td>
<td valign="middle" align="center">80 (75.47)</td>
<td valign="middle" align="center">28 (26.42)</td>
<td valign="middle" align="center">0.166</td>
<td valign="middle" align="center">0.174</td>
</tr>
<tr>
<td valign="middle" align="center">ALT/AST increased</td>
<td valign="middle" align="center">57 (40.43)</td>
<td valign="middle" align="center">10 (7.09)</td>
<td valign="middle" align="center">47 (44.34)</td>
<td valign="middle" align="center">11 (10.38)</td>
<td valign="middle" align="center">0.537</td>
<td valign="middle" align="center">0.36</td>
</tr>
<tr>
<td valign="middle" align="center">Leukopenia</td>
<td valign="middle" align="center">47 (33.33)</td>
<td valign="middle" align="center">9 (6.38)</td>
<td valign="middle" align="center">39 (36.79)</td>
<td valign="middle" align="center">9 (8.49)</td>
<td valign="middle" align="center">0.572</td>
<td valign="middle" align="center">0.528</td>
</tr>
<tr>
<td valign="middle" align="center">Thrombocytopenia</td>
<td valign="middle" align="center">32 (22.70)</td>
<td valign="middle" align="center">13 (9.22)</td>
<td valign="middle" align="center">32 (30.19)</td>
<td valign="middle" align="center">11 (10.38)</td>
<td valign="middle" align="center">0.183</td>
<td valign="middle" align="center">0.761</td>
</tr>
<tr>
<td valign="middle" align="center">Neutropenia</td>
<td valign="middle" align="center">30 (21.27)</td>
<td valign="middle" align="center">8 (5.67)</td>
<td valign="middle" align="center">26 (24.53)</td>
<td valign="middle" align="center">5 (4.72)</td>
<td valign="middle" align="center">0.546</td>
<td valign="middle" align="center">0.739</td>
</tr>
<tr>
<td valign="middle" align="center">Anaemia</td>
<td valign="middle" align="center">26 (18.44)</td>
<td valign="middle" align="center">8 (5.67)</td>
<td valign="middle" align="center">22 (20.75)</td>
<td valign="middle" align="center">8 (7.55)</td>
<td valign="middle" align="center">0.649</td>
<td valign="middle" align="center">0.554</td>
</tr>
<tr>
<td valign="middle" align="center">Vomit</td>
<td valign="middle" align="center">17 (12.06)</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">12 (11.32)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.859</td>
<td valign="middle" align="center">0.385</td>
</tr>
<tr>
<td valign="middle" align="center">Nausea</td>
<td valign="middle" align="center">14 (9.93)</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">10 (9.43)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.897</td>
<td valign="middle" align="center">0.385</td>
</tr>
<tr>
<td valign="middle" align="center">Decreased appetite</td>
<td valign="middle" align="center">11 (7.80)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">8 (7.55)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.941</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Abdominal pain</td>
<td valign="middle" align="center">5 (3.55)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">3 (2.83)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.753</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Hand foot syndrome</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.218</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Peripheral neuropathy</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">5 (4.72)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.122</td>
<td valign="middle" align="center">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AE, Adverse Event; ALT, Alanine aminotransferase; AST, Aspartate aminotransferase. a: p value for all grades AEs, b: p value for &#x2265;Grade 3 AEs.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Surgical and postoperative outcomes</title>
<p>Radical gastrectomy with D2 lymphadenectomy was performed as planned. R0 resection was achieved in 141 (100%) patients in the PD-1 inhibitors+SOX group and 105 (99.06%) in the PD-1 inhibitors+FLOT group. The conversion rate, retrieved lymph nodes, type of surgery, surgical approach, resection extent, and postoperative length of stay were comparable between the two groups, however, the operation time and estimated blood loss of the PD-1 inhibitors+FLOT group were significantly higher than those of the PD-1 inhibitors+SOX group (p=0.010 and 0.040). Overall postoperative complications occurred in 11 (7.80%) and 9 (8.49%) patients in the PD-1 inhibitors+SOX and PD-1 inhibitors+FLOT groups, respectively (p=0.844). Grade III&#x2013;V complications were observed in 7 (4.96%) vs 7 (6.60%) patients. Postoperative mortality was 0.71% vs 0% (p=0.385) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Surgical and postoperative outcomes of PD-1 inhibitors+SOX group and PD-1 inhibitors+FLOT group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variable</th>
<th valign="middle" align="center">PD-1 inhibitors+SOX</th>
<th valign="middle" align="center">PD-1 inhibitors+FLOT</th>
<th valign="middle" rowspan="2" align="center">P value</th>
</tr>
<tr>
<th valign="middle" align="center">n=141</th>
<th valign="middle" align="center">n=106</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">Surgical outcomes</th>
</tr>
<tr>
<td valign="middle" align="center">Total operation time, min (median, IQR)</td>
<td valign="middle" align="center">235 (82.5)</td>
<td valign="middle" align="center">265 (96.25)</td>
<td valign="middle" align="center"><bold><italic>0.010</italic></bold></td>
</tr>
<tr>
<td valign="middle" align="center">Estimated blood loss, ml (median, IQR)</td>
<td valign="middle" align="center">50 (50)</td>
<td valign="middle" align="center">100 (150)</td>
<td valign="middle" align="center"><bold><italic>0.040</italic></bold></td>
</tr>
<tr>
<td valign="middle" align="center">Conversion (n, %)</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">1 (0.94)</td>
<td valign="middle" align="center">0.736</td>
</tr>
<tr>
<td valign="middle" align="center">Length of incision, cm (median, IQR)</td>
<td valign="middle" align="center">8 (5)</td>
<td valign="middle" align="center">8 (5)</td>
<td valign="middle" align="center">0.825</td>
</tr>
<tr>
<td valign="middle" align="center">Distal margin, cm (median, IQR)</td>
<td valign="middle" align="center">6 (6.5)</td>
<td valign="middle" align="center">8 (6.4)</td>
<td valign="middle" align="center">0.065</td>
</tr>
<tr>
<td valign="middle" align="center">Proximal margin, cm (median, IQR)</td>
<td valign="middle" align="center">2.5 (3)</td>
<td valign="middle" align="center">2 (1.53)</td>
<td valign="middle" align="center">0.174</td>
</tr>
<tr>
<td valign="middle" align="center">Number of retrieved LNs (mean &#xb1; SD)</td>
<td valign="middle" align="center">24.95 &#xb1; 7.77</td>
<td valign="middle" align="center">26.31 &#xb1; 7.62</td>
<td valign="middle" align="center">0.171</td>
</tr>
<tr>
<td valign="middle" align="center">R0 (n, %)</td>
<td valign="middle" align="center">141 (100)</td>
<td valign="middle" align="center">105 (99.06)</td>
<td valign="middle" align="center">0.248</td>
</tr>
<tr>
<td valign="middle" align="left">Type of surgery</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.494</td>
</tr>
<tr>
<td valign="middle" align="center">Laparoscopic surgery</td>
<td valign="middle" align="center">126</td>
<td valign="middle" align="center">92</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Robotic surgery</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">open surgery</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Surgical approach</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.188</td>
</tr>
<tr>
<td valign="middle" align="center">Transabdominal approach</td>
<td valign="middle" align="center">123</td>
<td valign="middle" align="center">86</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Thoracoabdominal approach</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Resection extent</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.502</td>
</tr>
<tr>
<td valign="middle" align="center">Subtotal gastrectomy</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Total gastrectomy</td>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Proximal gastrectomy with/without esophagectomy</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Postoperative outcomes</th>
</tr>
<tr>
<td valign="middle" align="center">Postoperative hospital stay,day (median, IQR)</td>
<td valign="middle" align="center">6 (2.5)</td>
<td valign="middle" align="center">6 (4)</td>
<td valign="middle" align="center">0.167</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>Overall postoperative complications (n,%)</bold></td>
<td valign="middle" align="center">11 (7.80)</td>
<td valign="middle" align="center">9 (8.49)</td>
<td valign="middle" align="center">0.844</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Clavien-Dindo classification (n,%)</th>
</tr>
<tr>
<td valign="middle" align="center">Grades I-II</td>
<td valign="middle" align="center">4 (2.84)</td>
<td valign="middle" align="center">2 (1.89)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grade I</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">1 (0.94)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grade II</td>
<td valign="middle" align="center">4 (2.84)</td>
<td valign="middle" align="center">1 (0.94)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grades III-V</td>
<td valign="middle" align="center">7 (4.96)</td>
<td valign="middle" align="center">7 (6.60)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grade III</td>
<td valign="middle" align="center">5 (3.55)</td>
<td valign="middle" align="center">4 (3.77)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grade IV</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">3 (2.83)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Grade V</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Details (n,%)</th>
</tr>
<tr>
<td valign="middle" align="center">Pleural effusion/abscess</td>
<td valign="middle" align="center">3 (2.13)</td>
<td valign="middle" align="center">4 (3.77)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Anastomosis leakage</td>
<td valign="middle" align="center">6 (4.26)</td>
<td valign="middle" align="center">4 (3.77)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Pulmonary</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">3 (2.83)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Respiratory failure</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">3 (2.83)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Intra-abdominal abscess</td>
<td valign="middle" align="center">2 (1.42)</td>
<td valign="middle" align="center">2 (1.89)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Bacteremia</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Multiple organ failure</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Mortality (n,%)</td>
<td valign="middle" align="center">1 (0.71)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0.385</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IQR, interquartile range; LN, lymph nodes.The bold and italicized text indicates statistically significant differences.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Survival</title>
<p>With the data cutoff, the median follow-up was 21 months (range, 12&#x2013;52), 28 patients recurrence and 25 patients died in the PD-1 inhibitor + SOX group, 20 months (range, 10&#x2013;46), 24 patients recurrence and 17 patients died in the PD-1 inhibitor + FLOT group. The median OS was not reached in the PD-1 inhibitor + SOX group and was 42 months in the PD-1 inhibitor + FLOT group; the median RFS was 46 months and 38 months, respectively. Kaplan&#x2013;Meier curves for OS and RFS are shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>. No significant differences were observed between groups, with an OS hazard ratio (HR) of 1.155 (95% CI 0.624&#x2013;2.138) and an RFS HR of 0.805 (95% CI 0.461&#x2013;1.405) for PD-1 inhibitor + SOX versus PD-1 inhibitor + FLOT.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Overall survival <bold>(A)</bold> and recurrence-free survival <bold>(B)</bold> of patients in two groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1782029-g002.tif">
<alt-text content-type="machine-generated">Panel A shows a Kaplan-Meier survival curve comparing overall survival probability over forty-eight months between PD-1 inhibitors plus SOX (blue line) and PD-1 inhibitors plus FLOT (red line), with hazard ratio one point one five five and confidence interval zero point six two four to two point one three eight. Panel B shows a similar Kaplan-Meier curve comparing recurrence-free survival probability using the same treatment groups, with hazard ratio zero point eight zero five and confidence interval zero point four six one to one point four zero five.</alt-text>
</graphic></fig>
<p>We further performed Cox regression analyses for OS and RFS including eight variables (age, ECOG performance status, tumor location, histological differentiation, treatment regimen, MPR, lymphovascular invasion, and perineural invasion). Non-MPR remained an independent risk factor for both OS and RFS (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables&#xa0;2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>3</bold></xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This single-center, real-world retrospective cohort study compared the efficacy and safety of neoadjuvant PD-1 inhibitor plus SOX versus PD-1 inhibitor plus FLOT in patients with locally advanced G/EGJ adenocarcinoma. Our results demonstrated that PD-1 inhibitor combined with either FLOT or SOX achieved comparable long-term outcomes (OS and RFS), pathological responses (pCR and MPR), and overall safety profiles. Additionally, PD-1 inhibitor plus SOX was associated with shorter operative time and lower intraoperative blood loss compared with PD-1 inhibitor plus FLOT.</p>
<p>Substantial geographic differences have long existed in the selection of perioperative chemotherapy backbones: FLOT is more commonly adopted (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>) in Western practice and has also been reported in China (<xref ref-type="bibr" rid="B17">17</xref>), whereas SOX is widely used across East Asia (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The DRAGON III trial directly compared FLOT and SOX and suggested broadly similar efficacy and safety in the neoadjuvant chemotherapy setting (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). With immunotherapy emerging as a major perioperative strategy, numerous studies on perioperative immunotherapy combined with chemotherapy for gastric cancer have been conducted. The DANTE (IKF-s633) and NEOSUMMIT-01 trails have shown that immunotherapy combined with chemotherapy can significantly increase the pathological response rate (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The KEYNOTE-585 and MATTERHORN trials further demonstrated the benefits of immunochemotherapy on survival outcomes (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), direct evidence remains limited regarding which chemotherapy backbone is optimal for combination with PD-1 blockade. In routine clinical practice, our comparative evaluation demonstrated similar ORR and DCR between the two regimens, with no significant differences in pCR or MPR. Survival analyses further indicated no statistically significant differences in OS and RFS, suggesting that, in this cohort, the overall clinical benefit achieved by combining PD-1 inhibitors with either backbone was comparable. From a real-world perspective, these findings support the notion that both SOX and FLOT can serve as feasible &#x201c;platform&#x201d; regimens for perioperative immunochemotherapy in East Asian populations, and regimen selection may be individualized based on tolerability, treatment convenience, and institutional perioperative management experience. Notably, recent phase III trials have reinforced the role of perioperative immunochemotherapy: KEYNOTE-585 demonstrated improvement in event-free survival (EFS) (<xref ref-type="bibr" rid="B19">19</xref>), and MATTERHORN reported that adding immunotherapy to a FLOT backbone further significantly improved EFS and OS (<xref ref-type="bibr" rid="B20">20</xref>). In this context, our prognostic analyses are clinically informative. Cox regression showed that MPR was independently associated with OS and RFS, underscoring pathological response as a meaningful indicator of true tumor sensitivity to systemic therapy and a potential determinant of long-term outcomes beyond the choice of chemotherapy backbone (<xref ref-type="bibr" rid="B21">21</xref>). This interpretation is consistent with the long-term follow-up of DRAGON III, which suggests that the impact of pathological response on survival may outweigh that of regimen selection per se. Therefore, in the era of immunochemotherapy, optimizing perioperative strategies may rely less on switching chemotherapy backbones and more on increasing the likelihood of achieving MPR, for example through more precise patient selection, strengthened perioperative management, and early strategy modification for non-responders. At present, many studies focus on multi-omics data to predict the survival of patients with tumor (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>), and to accurately manage the treatment strategy of patients, so as to achieve survival benefits. Among them, the prediction model of efficacy response to immunotherapy is the most widely studied. With the progress of research, it can bring more accurate guidance for clinical treatment (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>With respect to safety, the overall incidence of treatment-related adverse events was similar between groups. Although grade &#x2265;3 events were numerically more frequent in the PD-1+FLOT group, the difference was not statistically significant, and no treatment-related deaths occurred. Importantly, operative time and intraoperative blood loss were significantly higher in the PD-1+FLOT group than in the PD-1+SOX group. This may be related to the greater intensity of the triplet regimen, potentially leading to more pronounced myelosuppression and inflammatory responses, increased tissue edema, or fibrosis, thereby complicating surgical exposure and dissection. For frail patients or those with higher perioperative risk, SOX as the chemotherapy backbone in combination with PD-1 blockade may confer an advantage in terms of surgical burden by potentially reducing surgical complexity while maintaining comparable oncological outcomes; however, prospective studies are warranted to confirm causality and elucidate underlying mechanisms.</p>
<p>Several limitations should be acknowledged. First, as a retrospective, single-center study, our analysis is subject to selection bias and residual confounding, and the PD-1 inhibitors used were not fully uniform between groups, which may introduce drug-specific effects. Second, missing data for CPS and MMR limited the robustness of biomarker-based stratification. Third, although no significant differences in OS/RFS were observed, the maturity of follow-up and the number of events may have limited statistical power; larger prospective studies with longer follow-up are needed for confirmation.</p>
<p>In conclusion, in this real-world cohort, neoadjuvant PD-1 inhibitor plus SOX and PD-1 inhibitor plus FLOT demonstrated comparable pathological response, perioperative safety, and OS/RFS, supporting both regimens as reasonable chemotherapy backbones for perioperative immunochemotherapy. PD-1+SOX showed potential advantages in operative time and intraoperative blood loss. More importantly, the independent association of MPR with OS and RFS suggests that pathological response may serve as a key anchor for clinical decision-making and risk stratification. Future prospective studies with standardized biomarker testing are required to define the optimal immunochemotherapy backbone and the patient subgroups most likely to benefit.</p>
</sec>
</body>
<back>
<sec id="s5" 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="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Xijing Hospital of Air Force Medical University (KY20242419-C-1). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZL: Formal analysis, Writing &#x2013; review &amp; editing, Data curation, Writing &#x2013; original draft, Software. XZ: Writing &#x2013; review &amp; editing, Formal analysis, Software, Data curation. LD: Software, Writing &#x2013; review &amp; editing, Data curation. WY: Writing &#x2013; review &amp; editing, Data curation. LH: Supervision, Project administration, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the patients who participated in the study and made this research study possible. In addition, we thank all physicians and nurses who were involved in patient treatment and documentation.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1782029/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1782029/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/170619">Surendra Kumar Shukla</ext-link>, University of Oklahoma, United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1568281">Xia Lin</ext-link>, Chongqing Three Gorges Central Hospital, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3341037">Zhi Li</ext-link>, Jinling Hospital, China</p></fn>
</fn-group>
</back>
</article>