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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1599526</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The prognostic power of major pathological response in esophageal squamous cell carcinoma patients undergoing neoadjuvant chemoimmunotherapy: a multi-center cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xie</surname>
<given-names>Shuhan</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="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>
<uri xlink:href="https://loop.frontiersin.org/people/2565013/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Shijie</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Tang</surname>
<given-names>Zilu</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Hai</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2791095/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xu</surname>
<given-names>Jinxin</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2069006/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ke</surname>
<given-names>Sunkui</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xie</surname>
<given-names>Jinbiao</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Rongyu</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hong</surname>
<given-names>Zhinuan</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kang</surname>
<given-names>Mingqiang</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2728296/overview"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Thoracic Surgery, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University</institution>, <addr-line>Fuzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Fujian Key Laboratory of Tumor Microbiology, Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Cardiothoracic Surgery, The Affiliated Hospital of Putian University</institution>, <addr-line>Putian</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Thoracic Surgery, Quanzhou First Hospital</institution>, <addr-line>Quanzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Thoracic Surgery, Gaozhou People&#x2019;s Hospital</institution>, <addr-line>Gaozhou, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Thoracic Surgery, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University</institution>, <addr-line>Xiamen</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Vera Rebmann, University of Duisburg-Essen, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Martin Leu, University Medical Center G&#xf6;ttingen, Germany</p>
<p>Jiaying Deng, Fudan University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mingqiang Kang, <email xlink:href="mailto:9199115045@fjmu.edu.cn">9199115045@fjmu.edu.cn</email>; Zhinuan Hong, <email xlink:href="mailto:hongzhinuan@163.com">hongzhinuan@163.com</email>; Ying Chen, <email xlink:href="mailto:cyingzx@163.com">cyingzx@163.com</email>; Rongyu Xu, <email xlink:href="mailto:xry641127@sina.com">xry641127@sina.com</email>; Sunkui Ke, <email xlink:href="mailto:xmzsksk2021@163.com">xmzsksk2021@163.com</email>; Jinbiao Xie, <email xlink:href="mailto:jinbiaoxie123@163.com">jinbiaoxie123@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1599526</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Xie, Huang, Tang, Zhang, Xu, Ke, Xie, Xu, Chen, Hong and Kang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Xie, Huang, Tang, Zhang, Xu, Ke, Xie, Xu, Chen, Hong and Kang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>For esophageal squamous cell carcinoma(ESCC), neoadjuvant chemoimmunotherapy (nICT) constitutes an innovative therapeutic strategy. However, The relationship between its short-term efficacy and long-term prognosis requires further clarification. Therefore, this study aims to evaluate the prognostic significance of major pathological response (MPR) in ESCC patients receiving nICT.</p>
</sec>
<sec>
<title>Method</title>
<p>This is a retrospective multi-center study enrolling 306 ESCC patients undergoing nICT. The primary endpoints were recurrence-free survival (RFS) and recurrence patterns. Propensity score matching (PSM) was applied to address heterogeneity between groups. Kaplan-Meier curves and Cox regression analysis were utilized to analyze survival difference.</p>
</sec>
<sec>
<title>Results</title>
<p>144 achieved a MPR, while 68 achieved a pathological complete response (pCR). Cox regression analysis identified MPR as an independent prognostic factor [HR = 0.48, 95%CI= (0.28 - 0.82), P = 0.007]. Survival analysis demonstrated that MPR patients experienced significantly improved RFS compared to non-MPR patients, before (P&lt;0.001) and after PSM (P = 0.016). Importantly, the RFS of MPR patients was comparable to that of pCR patients (P = 0.319 in the unmatched cohort; P = 0.456 in the matched cohort). Furthermore, adjuvant therapy did not provide additional recurrence-free benefits for MPR patients. Compared to pCR patients, MPR patients exhibited a similar recurrence rate, with similar recurrence sites.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>MPR represents a significant prognostic indicator in ESCC patients undergoing nICT, demonstrating prognostic outcomes comparable to those of pCR. These findings indicated that MPR could function as a surrogate endpoint for pCR, potentially influencing treatment strategies by refining follow-up protocol and the implementation of adjuvant therapy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neoadjuvant chemoimmunotherapy</kwd>
<kwd>major pathological response</kwd>
<kwd>adjuvant therapy</kwd>
<kwd>pathological complete response</kwd>
<kwd>recurrence pattern</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="12"/>
<word-count count="4500"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Esophageal cancer (EC) is the seventh most prevalent malignant neoplasm worldwide and is the sixth leading cause of cancer-related mortality (<xref ref-type="bibr" rid="B1">1</xref>). A significant proportion of patients with esophageal squamous cell carcinoma (ESCC) are initially diagnosed at a locally advanced stage. To improve prognosis, the standard treatment approach for these patients entails the administration of neoadjuvant therapy followed by surgical intervention.</p>
<p>Extensive clinical evidence supported the recommendation of neoadjuvant chemotherapy (nCT) and neoadjuvant chemoradiotherapy (nCRT) as standard treatments for locally advanced esophageal squamous cell carcinoma (LA-ESCC) patients (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). With recent advancements in immunotherapy, its potential as a therapeutic strategy for LA-ESCC has garnered significant attention. The safety profile of neoadjuvant chemoimmunotherapy(nICT) is supported by evidence from multiple clinical trials (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>), which demonstrate no significant increase in postoperative complications, such as anastomotic leakage. Furthermore, its efficacy is reinforced by elevated rates of major pathological response (MPR) and pathological complete response (pCR), both of which are critical indicators of improved treatment outcomes. In 2012, the U.S. Food and Drug Administration (FDA) recognized pCR as a surrogate endpoint for survival in studies of neoadjuvant therapy, based on the premise that pCR may serve as a predictor of clinical benefit (<xref ref-type="bibr" rid="B7">7</xref>). However, apart from pCR, MPR can also serve as an indicator of the sensitivity and efficacy of treatment modalities. Our prior study has demonstrated that MPR can function as a survival surrogate, providing a clinical reference and an evidence-based foundation for decision-making in ESCC patients undergoing nCT/nICT (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Previous research has demonstrated that EC patients treated with nCRT who exhibited microscopic residual disease faced an elevated risk of recurrence, however their overall survival paralleled that of patients achieving a pCR (<xref ref-type="bibr" rid="B9">9</xref>). Nevertheless, different treatment modalities have been observed to exhibit differing short-term efficacy and long-term prognoses in LA-ESCC patients (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). To the best of our knowledge, there is a paucity of studies directly comparing the prognostic difference of MPR with pCR in ESCC patients undergoing nICT, underscoring the necessity for further research in this area. Therefore, this study aims to examine the prognostic value and clinical significance of MPR in ESCC patients undergoing nICT.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Method</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study population</title>
<p>This study recruited patients diagnosed with EC from five medical centers between January 1, 2019, and August 31, 2024. The inclusion criteria were (1): histologically confirmed ESCC and diagnosed as cT<sub>3-4a</sub>N<sub>any</sub>M<sub>0</sub> or cT<sub>1-2</sub>N<sub>+</sub>M<sub>0</sub> (2); receipt of at least one cycle of neoadjuvant chemoimmunotherapy (3); receipt of esophagectomy following neoadjuvant chemoimmunotherapy; and (4) availability of complete clinical data. Exclusion criteria included (1): the presence of other primary malignant tumors (2); unsuitability for surgical resection; and (3) undergoing salvage or palliative surgery.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment protocol</title>
<p>Among the five medical centers, there are slight difference in preoperative examinations and nICT protocols; however, a high degree of consistency is maintained across all centers. Pre-treatment diagnosis and clinical staging were conducted through gastroscopy, contrast-enhanced computed tomography, and neck color Doppler ultrasound. Positron emission tomography was performed when required.</p>
<p>Commonly, the chemotherapy regimen consisted primarily of platinum combined with paclitaxel or docetaxel, administered once every 3 weeks. On the basis of nCT, the immune drug was applied in nICT group, using one of the following five types: camrelizumab, pembrolizumab, sintilimab, tislelizumab, and toripalimab. The treatment regimen and its dosage will be established through multidisciplinary consultations and adjusted based on the patient&#x2019;s physical condition, particularly in response to adverse reactions. The efficacy of the treatment should be assessed 3&#x2013;4 weeks after the completion of the final neoadjuvant therapy cycle. If surgical intervention is deemed appropriate, patients will undergo a minimally invasive esophagectomy. In instances where preoperative evaluation indicates the possibility of cervical lymph node metastasis, a three-field lymphadenectomy will be conducted.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Relevant definition</title>
<p>The primary endpoint of this study is recurrence-free survival (RFS), which is defined as the interval from the date of surgical resection to the occurrence of locoregional recurrence or/and distant metastasis. Pathological complete response (pCR) is characterized by the absence of residual tumor cells in both the primary tumor tissue and the lymph nodes. Major pathological response (MPR) refers to the presence of 10% or fewer viable tumor cells in resected tumor (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Various scoring systems were employed to evaluate the pathological response in patients with LA-ESCC undergoing neoadjuvant therapy (<xref ref-type="bibr" rid="B14">14</xref>). In this study, the tumor regression grade (TRG) was utilized to assess the pathological response. In accordance with the guidelines established by the College of American Pathologists (CAP) and the National Comprehensive Cancer Network (NCCN), MPR was equated to TRG 0-1, while it corresponds to TRG 1&#x2013;2 under the Mandard scoring system (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Follow-up and adjuvant therapy</title>
<p>The postoperative follow-up schedule for ESCC patients was typically consistent in our study. During the first two years, ESCC patients underwent routine follow-up evaluations every 3 to 6 months. From the third to the fifth year, follow-ups were performed every 6 months, and subsequently on an annual basis. Furthermore, follow-up was carried out via outpatient visits and telephone consultations in our study.</p>
<p>In our study, adjuvant therapy is advised for ESCC patients diagnosed with ypT<sub>0-4a</sub>N<sub>+</sub>M<sub>0</sub>. Conversely, for patients with ypT<sub>0-4a</sub>N<sub>0</sub>M<sub>0</sub>, especially those achieving a pCR, both surveillance and adjuvant therapy are deemed suitable options. Additionally, a multidisciplinary team conducted consultations to evaluate the need for adjuvant therapy, taking into account the postoperative pathological outcomes, the overall health status of the patients, and their personal treatment preferences. The adjuvant therapy regimens comprised chemotherapy (aCT), immunotherapy (aIT), or a combination of both therapies (aICT). The detail information of drugs used in nICT and AT was shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Categorical data were presented as counts and percentages, compared using Chi-square or Fisher's exact tests. Propensity score matching (PSM) was employed to mitigate bias arising from confounding variables, utilizing logistic regression to generate scores and implementing nearest neighbor matching without replacement, with a caliper of 0.05 and a ratio of 1:1. Matching parameters included sex, age, smoking history, drinking history, BMI, tumor location, clinical stage. Survival difference was evaluated using Kaplan-Meier survival curves. To investigate risk factors, Cox regression analysis was conducted. Variables exhibiting statistical significance in the univariate Cox regression analysis were incorporated as predictors in the multivariate analysis. Additionally, a backward stepwise regression approach was employed in the multivariate analysis. The data were processed with SPSS version 27 and R version 4.3.1. Statistical significance was set at P &lt; 0.05. The flow chart of statistical analysis process of this study was as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The flow chart of statistical analysis process of this study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing analysis of 306 ESCC patients undergoing nICT. Two groups: 144 achieved MPR and 162 did not. Matching Cohort 1 involves Cox and Kaplan-Meier analyses. Matching Cohort 2 splits into pCR versus MPR patients and adjuvant versus non-adjuvant therapy patients, leading to sensitivity and survival analyses with PSM and Kaplan-Meier. Definitions for ESCC, nICT, MPR, and pCR are included.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patients characteristic</title>
<p>In this study, a cohort of 306 patients diagnosed with ESCC and treated with nICT from five medical centers was analyzed. Among these patients, 233 cases (76.14%) were male, and 213 (69.61%) were aged 65 years or younger. Postoperative pathological outcomes showed that 144 patients achieved a MPR, while 68 attained a pCR. Following nICT and surgical intervention, 153 patients received adjuvant therapy. Detailed baseline characteristics of this patient population are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of ESCC patients receiving nICT.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">(%)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="3" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">233</td>
<td valign="middle" align="center">76.14%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">23.86%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Age</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;65</td>
<td valign="middle" align="center">213</td>
<td valign="middle" align="center">69.61%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;65</td>
<td valign="middle" align="center">93</td>
<td valign="middle" align="center">30.39%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">BMI</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;18.5</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">12.42%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5-23.9</td>
<td valign="middle" align="center">217</td>
<td valign="middle" align="center">70.92%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;24</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">16.67%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Smoking history</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">120</td>
<td valign="middle" align="center">39.22%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">186</td>
<td valign="middle" align="center">60.78%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Drinking history</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">182</td>
<td valign="middle" align="center">59.48%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">124</td>
<td valign="middle" align="center">40.52%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Tumor location</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">8.50%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="center">171</td>
<td valign="middle" align="center">55.88%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="center">109</td>
<td valign="middle" align="center">35.62%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Clinical stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="center">75</td>
<td valign="middle" align="center">24.51%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="center">195</td>
<td valign="middle" align="center">63.73%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Iva</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">11.76%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Neoadjuvant therapy cycle</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;3</td>
<td valign="middle" align="center">279</td>
<td valign="middle" align="center">91.18%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;3</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">8.82%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">ypT stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T<sub>0-2</sub>
</td>
<td valign="middle" align="center">142</td>
<td valign="middle" align="center">46.41%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T<sub>3-4</sub>
</td>
<td valign="middle" align="center">164</td>
<td valign="middle" align="center">53.59%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">ypN stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N<sub>0</sub>
</td>
<td valign="middle" align="center">172</td>
<td valign="middle" align="center">56.21%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N<sub>1-3</sub>
</td>
<td valign="middle" align="center">134</td>
<td valign="middle" align="center">43.79%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">pCR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">77.78%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">22.22%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">MPR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">162</td>
<td valign="middle" align="center">52.94%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">144</td>
<td valign="middle" align="center">47.06%</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Adjuvant therapy</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">50.00%</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">50.00%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>pCR, pathological complete response; MPR, major pathological response.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>The Cox regression analysis for ESCC patients undergoing nICT</title>
<p>Cox regression analysis was employed to examine the independent risk factors in ESCC patients following nICT. The univariate Cox analysis identified ypT stage, ypN stage, MPR, and pCR as prognostic factors influencing this patient cohort. In the subsequent multivariate Cox analysis, ypN stage [HR= 1.88, 95%CI=(1.13 - 3.10), P = 0.014] and MPR [HR = 0.48, 95%CI= (0.28 - 0.82), P = 0.007] emerged as independent risk factors, 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>Univariate and Multivariate Cox analysis for recurrence-free survival in ESCC patients after nICT.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center" rowspan="2">Variables</th>
<th valign="middle" colspan="2" align="center">Univariate Cox Analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate Cox Analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR (95%CI)</th>
<th valign="middle" align="center">P value</th>
<th valign="middle" align="center">HR (95%CI)</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Sex</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.682</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;male</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;female</td>
<td valign="middle" align="center">0.89 (0.50 -1.57)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Age</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.938</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;65</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;65</td>
<td valign="middle" align="center">1.02 (0.61 -1.72)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">BMI</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.066</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;18.5</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5-23.9</td>
<td valign="middle" align="center">0.66 (0.33 -1.31)</td>
<td valign="middle" align="center">0.233</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;24</td>
<td valign="middle" align="center">1.26 (0.57 -2.78)</td>
<td valign="middle" align="center">0.563</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Smoking history</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.796</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">0.94 (0.58 -1.53)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Drinking history</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.569</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">0.87 (0.53 -1.42)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Tumor location</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center">0.213</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;upper</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;middle</td>
<td valign="middle" align="center">0.55 (0.26 -1.15)</td>
<td valign="middle" align="center">0.112</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;lower</td>
<td valign="middle" align="center">0.75 (0.35 -1.61)</td>
<td valign="middle" align="center">0.465</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Clinical stage</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.114</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="center">1.85 (0.98 -3.48)</td>
<td valign="middle" align="center">0.057</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IVa</td>
<td valign="middle" align="center">1.16 (0.46 -2.94)</td>
<td valign="middle" align="center">0.758</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">ypT stage</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">&lt;0.001</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T<sub>0-2</sub>
</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T<sub>3-4</sub>
</td>
<td valign="middle" align="center">2.49 (1.46 -4.23)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">ypN stage</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.001</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.014</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N<sub>0</sub>
</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;N<sub>1-3</sub>
</td>
<td valign="middle" align="center">2.23 (1.37 -3.65)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.88 (1.13 -3.10)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">MPR</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">&lt;0.001</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.007</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">0.41 (0.24 -0.69)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.48 (0.28 -0.82)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">pCR</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.006</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">0.31 (0.13 -0.71)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Adjuvant therapy</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.238</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">Reference</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">1.34 (0.83-2.17)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>pCR, pathological complete response; MPR, major pathological response.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>The survival comparison of MPR patients with non-MPR patients and pCR patients</title>
<p>The propensity score matching method was employed to mitigate baseline differences between the MPR patient group and the non-MPR patient group, as illustrated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. The survival curve by Kaplan-Meier analysis indicated that the recurrence-free survival of MPR patients was significantly superior than that of non-MPR patients, both before (P&lt;0.001) and after PSM (P = 0.016), as is shown in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Characteristics comparison of MPR and non-MPR patients in nICT group before and after matching.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left" rowspan="2">Variables</th>
<th valign="middle" colspan="3" align="center">Before PSM</th>
<th valign="middle" colspan="3" align="center">After PSM</th>
</tr>
<tr>
<th valign="middle" align="center">non-MPR</th>
<th valign="middle" align="center">MPR</th>
<th valign="middle" align="center">P value</th>
<th valign="middle" align="center">non-MPR</th>
<th valign="middle" align="center">MPR</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Sex</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.212</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.874</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;male</td>
<td valign="middle" align="center">128 (79.01%)</td>
<td valign="middle" align="center">105 (72.92%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">89 (78.07%)</td>
<td valign="middle" align="center">88 (77.19%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;female</td>
<td valign="middle" align="center">34 (20.99%)</td>
<td valign="middle" align="center">39 (27.08%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">25 (21.93%)</td>
<td valign="middle" align="center">26 (22.81%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Age</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.040</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.770</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;65</td>
<td valign="middle" align="center">121 (74.69%)</td>
<td valign="middle" align="center">92 (63.89%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">80 (70.18%)</td>
<td valign="middle" align="center">82 (71.93%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;65</td>
<td valign="middle" align="center">41 (25.31%)</td>
<td valign="middle" align="center">52 (36.11%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">34 (29.82%)</td>
<td valign="middle" align="center">32 (28.07%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">BMI</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.925</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.472</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;18.5</td>
<td valign="middle" align="center">19 (11.73%)</td>
<td valign="middle" align="center">19 (13.19%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">12 (10.53%)</td>
<td valign="middle" align="center">17 (14.91%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5-23.9</td>
<td valign="middle" align="center">116 (71.60%)</td>
<td valign="middle" align="center">101 (70.14%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">85 (74.56%)</td>
<td valign="middle" align="center">77 (67.54%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;24</td>
<td valign="middle" align="center">27 (16.67%)</td>
<td valign="middle" align="center">24 (16.67%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">17 (14.91%)</td>
<td valign="middle" align="center">20 (17.54%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Smoking history</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.912</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">1.000</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">64 (39.51%)</td>
<td valign="middle" align="center">56 (38.89%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">42 (36.84%)</td>
<td valign="middle" align="center">42 (36.84%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">98 (60.49%)</td>
<td valign="middle" align="center">88 (61.11%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">72 (63.16%)</td>
<td valign="middle" align="center">72 (63.16%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Drinking history</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.934</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.689</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;no</td>
<td valign="middle" align="center">96 (59.26%)</td>
<td valign="middle" align="center">86 (59.72%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">62 (54.39%)</td>
<td valign="middle" align="center">65 (57.02%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;yes</td>
<td valign="middle" align="center">66 (40.74%)</td>
<td valign="middle" align="center">58 (40.28%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">52 (45.61%)</td>
<td valign="middle" align="center">49 (42.98%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Tumor location</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.524</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.963</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;upper</td>
<td valign="middle" align="center">14 (8.64%)</td>
<td valign="middle" align="center">12 (8.33%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (6.14%)</td>
<td valign="middle" align="center">8 (7.02%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;middle</td>
<td valign="middle" align="center">95 (58.64%)</td>
<td valign="middle" align="center">76 (52.78%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">64 (56.14%)</td>
<td valign="middle" align="center">63 (55.26%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;lower</td>
<td valign="middle" align="center">53 (32.72%)</td>
<td valign="middle" align="center">56 (38.89%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">43 (37.72%)</td>
<td valign="middle" align="center">43 (37.72%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Clinical stage</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.763</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.831</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="center">40 (24.69%)</td>
<td valign="middle" align="center">35 (24.31%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">26 (22.81%)</td>
<td valign="middle" align="center">29 (25.44%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="center">105 (64.81%)</td>
<td valign="middle" align="center">90 (62.50%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">77 (67.54%)</td>
<td valign="middle" align="center">76 (66.67%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IVa</td>
<td valign="middle" align="center">17 (10.49%)</td>
<td valign="middle" align="center">19 (13.19%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">11 (9.65%)</td>
<td valign="middle" align="center">9 (7.89%)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MPR, major pathological response.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan-Meier survival curves of recurrence-free survival between non-MPR and MPR patients before PSM <bold>(A)</bold> and after PSM <bold>(B)</bold>. Kaplan-Meier survival curves of recurrence-free survival between pCR and MPR patients before PSM <bold>(C)</bold> and after PSM <bold>(D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g002.tif">
<alt-text content-type="machine-generated">Four Kaplan-Meier survival graphs labeled A, B, C, and D compare survival probabilities over time. Each graph contrasts different pathological responses: non-MPR versus MPR in A and B, and pCR versus MPR in C and D. P-values are less than 0.001 in A, 0.016 in B, 0.319 in C, and 0.456 in D. A table below each graph shows the number of patients at risk at various time points.</alt-text>
</graphic>
</fig>
<p>Survival analysis also revealed that the recurrence-free survival of patients achieving pCR were comparable to those of patients achieving MPR (P = 0.319 in the unmatched cohort; P = 0.456 in the matched cohort), as illustrated in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>The sensitivity analysis between non-pCR and pCR patients in MPR patients cohort</title>
<p>Given that patients achieving pCR are encompassed within the MPR cohort, a sensitivity analysis was utilized to explore survival difference between non-pCR and pCR patients within the MPR group. MPR patients were stratified in two groups based on pCR status and PSM was used to eliminate intergroup bias, as is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>. In the unmatched group, the Kaplan-Meier survival analysis indicated the absence of a statistically significant difference in disease-free survival between non-pCR and pCR patients within MPR cohort (P = 0.119). Similarly, the survival difference was not observed between two groups in the matched group (P = 0.193), as is shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier survival curves of recurrence-free survival between pCR and non-pCR patients in MPR group before PSM <bold>(A)</bold> and after PSM <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g003.tif">
<alt-text content-type="machine-generated">Graphs A and B show survival probabilities over time in months, comparing non-pCR (red line) and pCR (blue line) groups. In graph A, the p-value is 0.119, while in graph B, it is 0.193, indicating statistical comparisons between groups. A table below shows numbers at risk for each group at different time points.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>The survival analysis of adjuvant therapy in MPR patients after nICT</title>
<p>The prognostic significance of AT in ESCC patients achieving MPR was also investigated. Similarly, the MPR patients cohort was stratified into AT and non-AT group based on the administration of AT and employed PSM to minimize bias between the two groups, as detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>. The matching parameters of this propensity score matching included sex, age, smoking history, drinking history, BMI, tumor location, ypT stage and ypN stage. The Kaplan-Meier survival analysis revealed that AT did not confer an additional recurrence-free survival benefit for patients attaining MPR (P=0.193 in the unmatched cohort;P=0.025 in the matched cohort), as is shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Kaplan-Meier survival curves of recurrence-free survival between non-AT and AT patients in MPR group before PSM <bold>(A)</bold> and after PSM <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g004.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curves comparing two treatment protocols, non-AT (red line) and AT (blue line), over 60 months. Graph A shows a P value of 0.193, indicating no significant difference between the groups. Graph B shows a P value of 0.025, indicating a significant difference, favoring non-AT. Both graphs include a table displaying the number at risk over time for each group.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Recurrence patterns comparison between MPR patients and pCR patients</title>
<p>In the cohort of patients with MPR, 20 individuals experienced recurrence, with 8 presenting solely with locoregional recurrence and another 8 exhibiting only distant metastasis. In contrast, among the pCR patients, 6 individuals experienced recurrence, of whom 2 had only locoregional recurrence and 3 had only distant metastasis. A correlation analysis indicated that the recurrence patterns between the two groups were comparable, as detailed in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Recurrence pattern in ESCC patients of MPR and pCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="center">MPR patients</th>
<th valign="middle" align="center">pCR patients</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Survival status</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">0.294</th>
</tr>
<tr>
<td valign="middle" align="left">Recurrence-free</td>
<td valign="middle" align="center">124 (86.11%)</td>
<td valign="middle" align="center">62 (91.18%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Recurrence</td>
<td valign="middle" align="center">20 (13.89%)</td>
<td valign="middle" align="center">6 (8.82%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="left">Recurrence pattern</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">1.000</th>
</tr>
<tr>
<td valign="middle" align="left">Locoregional recurrence only</td>
<td valign="middle" align="center">8 (40.00%)</td>
<td valign="middle" align="center">2 (33.33%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Distant metastasis only</td>
<td valign="middle" align="center">8 (40.00%)</td>
<td valign="middle" align="center">3 (50.00%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Locoregional recurrence with distant metastasis</td>
<td valign="middle" align="center">4 (20.00%)</td>
<td valign="middle" align="center">1 (16.67%)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Distant metastasis site of ESCC patients of MPR and pCR.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g005.tif">
<alt-text content-type="machine-generated">Medical illustration comparing ESCC patients with MPR and pCR shows instances of distant metastasis. Left side lists brain (1), respiratory system (4), liver (4), bone (3), reproductive system (1). Right side lists brain (1), respiratory system (2), liver (1). Metastasis represented by gray spots on organs.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>pCR and MPR are utilized as the principal endpoints in assessing the short-term efficacy of neoadjuvant trials. Previous researches showed that nICT could lead to higher rates of MPR and pCR compared to nCT alone (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Furthermore, in comparison to achieving a pCR, attaining a MPR is more readily achievable in ESCC patients undergoing neoadjuvant therapy (<xref ref-type="bibr" rid="B20">20</xref>). However, the question of whether ESCC patients achieving MPR have prognostic outcomes equivalent to those attaining pCR remains unclear. Our study found that patients who achieved MPR following nICT exhibited a more favorable prognosis compared to those who did not achieve MPR. Furthermore, their prognostic outcomes were comparable to those of patients who attained pCR.</p>
<p>This study demonstrated that patients exhibiting a MPR in the nICT group had a significantly improved prognosis compared to those without MPR, both prior to and following propensity score matching. The Cox regression analysis also identified MPR as an independent risk factor. From the perspective of tumor load, the status of MPR indicated that neoadjuvant therapy was particularly effective in reducing preoperative tumor burden and substantially decreasing the risk of tumor recurrence through the more efficient eradication of micro-metastases (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Furthermore, a distinctive characteristic of immunotherapy is its &#x201c;tail effect&#x201d; (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The tail effect is characterized by the sustained maintenance of therapeutic effects following treatment discontinuation, thereby providing long-term immune responses and better survival benefits for patients with advanced tumors. The development of the tail effect is linked to the &#x201c;memory function&#x201d; of immune cells, notably T cells. While, this effect requires a strong interaction between the patient&#x2019;s immune system and the immunotherapeutic agent. Patients who achieve a MPR are more likely to exhibit an enhanced tail effect in the immune system during neoadjuvant therapy, which sustains anti-tumor activity postoperatively and results in improved clinical outcomes.</p>
<p>In our study, it was observed that the RFS of patients achieving a MPR was comparable to that of patients exhibiting a pCR. Sensitivity analysis indicated that, within the MPR cohort, the RFS of patients attaining pCR did not significantly differ from those who did not, corroborating previous findings (<xref ref-type="bibr" rid="B25">25</xref>). These findings implied that nICT may have yielded equivalent therapeutic outcomes to MPR patients and pCR patients. This observation also suggested that the MPR may serve as a surrogate endpoint for pCR in assessing the efficacy of nICT. Given the comparable RFS in MPR and pCR patients, MPR has the potential to merge as a more accessible and cost-effective prognostic indicator in clinical practice. The CROSS study demonstrated that nCRT significantly improves overall survival in EC patients compared to surgery alone; however, it does not confer enhanced survival benefits with respect to distant metastasis (<xref ref-type="bibr" rid="B26">26</xref>). Compared to nCRT, nICT offers a systemic therapeutic approach with a distinct advantage in the management of distant metastases, particularly in the control of microscopic metastasis (<xref ref-type="bibr" rid="B27">27</xref>).The integration of nICT and surgical intervention constitutes a comprehensive treatment modality that effectively manages locoregional recurrence and distant metastasis of tumors: nICT significantly reduces the quantity of tumor cells within the primary tumor and lymph nodes, especially in patients exhibiting drug sensitivity. During subsequent radical esophagectomy, the residual tumor cells can be effectively excised. The primary aims of neoadjuvant therapy are twofold: first, to achieve tumor downstaging, thereby enhancing the feasibility of curative surgical procedures (<xref ref-type="bibr" rid="B28">28</xref>); and second, to mitigate distant metastasis and micrometastasis of tumor cells through systemic drug administration, particularly when the tumor burden is substantial and the likelihood of metastasis is elevated. Numerous studies have documented that patients undergoing neoadjuvant therapy demonstrate superior recurrence-free survival rates in comparison to those receiving adjuvant therapy post-surgery, which implied that chemotherapy or immunotherapy might be more efficacious in managing distant metastasis when the tumor burden is elevated, as is the case prior to surgical intervention (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Both MPR and pCR reflect a significant sensitivity to the treatment protocol, showing the effective eradication of a considerable proportion of cancer cells. As a result, the prognosis for patients with MPR is notably enhanced due to the effective local tumor control attained through following standardized esophagectomy. This improvement may account for the similar RFS observed between ESCC patients with MPR and those with pCR following surgery.</p>
<p>In our study, pCR was found to be a prognostic factor but not an independent predictor of survival outcome, consistent with findings reported in other studies (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>). This indicated that pCR can be a useful short-term indicator for evaluating treatment efficacy, but it may not be a reliable surrogate for long-term outcomes, especially in ESCC patients after nICT. The CheckMate 577 trial has shown that adjuvant immunotherapy can enhance survival outcomes for EC patients who have residual tumor cells after nCRT (<xref ref-type="bibr" rid="B34">34</xref>). Nonetheless, there are currently no established guidelines delineating the indications for adjuvant therapy in patients undergoing nICT. In our prior investigations, we found that the prognosis for ESCC patients who attained a pCR following nICT was unaffected by adjuvant therapy (<xref ref-type="bibr" rid="B35">35</xref>). In this study, it was observed that adjuvant therapy did not provide additional advantages in terms of disease-free survival for patients achieving a MPR, aligning with the outcomes observed in patients with pCR. Prior study has indicated that compared to those who did not undergo AT, the receipt of AT showed shorter disease-free survival following neoadjuvant chemoradiotherapy and surgery (<xref ref-type="bibr" rid="B36">36</xref>). Similarly, Yan&#x2019;s study showed that adjuvant therapy failed to improve survival outcomes in patients receiving neoadjuvant chemotherapy and instead indicated a trend toward worse prognosis (<xref ref-type="bibr" rid="B37">37</xref>). It is well recognized that AT does not benefit all ESCC patients. There are three possible reasons for negative impact of AT. Firstly, postoperative impairments such as reduced food intake and swallowing difficulties and postoperative complications can significantly weaken the immune system of ESCC patients (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). In such circumstances, adjuvant therapy may further weaken the immune system&#x2019;s ability to target cancer cells, potentially leading to disease recurrence (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Secondly, damage to the integrity of Lymph node, particularly as a result of systematic lymphadenectomy, may impair the activation of anti-tumor T cells, consequently diminishing the effectiveness of subsequent immunotherapeutic interventions (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Thirdly, the reduction of tumor burden after surgery may weaken the efficacy of adjuvant therapy. These findings suggested that clinicians might consider implementing a surveillance approach for patients achieving MPR after surgery, akin to the strategy employed for those with pCR. Besides, clinicians should take both MPR and pCR into account when assessing the prognosis of LA-ESCC patients, as this may facilitate the development of more tailored treatment strategies. However, we still believe this finding still requires further validation from through prospective, nationwide, multi-center clinical trials.</p>
<p>In the nICT cohort of patients with ESCC, the recurrence patterns observed in patients achieving MPR were analogous to those in patients achieving pCR, encompassing both distant metastasis and locoregional recurrence. Furthermore, in instances of distant metastasis, the predominant sites for both MPR and pCR patients were the brain, lungs, and liver. The analogous recurrence patterns and distribution of metastasis sites indicated the necessity for equal consideration to two patients group during follow-up. The recurrence pattern similarities between MPR and pCR patients also implied that these groups could be perceived as having comparable risk levels when devising follow-up strategies. Nonetheless, it is imperative to acknowledge that despite attaining MPR or pCR, patients remain at risk for recurrence. Ongoing surveillance is still essential to enhance prognostic outcomes.</p>
<p>This study has several limitations. First, despite being a multi-center study and employing rigorous selection criteria to mitigate selection bias, its retrospective design introduces inherent limitations. Secondly, this study was limited to patients with esophageal squamous cell carcinoma, and the extent to which our findings can be generalized to patients with adenocarcinoma remains uncertain. In future studies, we plan to conduct a separate analysis of esophageal adenocarcinoma. This approach will be pursued in subsequent research, although it will require additional time to collaborate with more centers due to the relatively low incidence of esophageal adenocarcinoma in China. The visual abstract of this study is shown in <xref ref-type="fig" rid="f6">
<bold>Figure 6</bold>
</xref>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Visual abstract of this study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1599526-g006.tif">
<alt-text content-type="machine-generated">Infographic detailing a study on esophageal cancer treatment. The population has a male-to-female ratio of 7.7:2.3, focusing on ESCC patients receiving nICT. The treatment protocol includes nICT and esophagectomy. Methodology involves Cox regression, Kaplan-Meier survival curve, and propensity score matching. Findings show survival probabilities linked to pathological and adjuvant therapy responses. Centers involved are five hospitals including Fujian Medical University. Variables include pathological responses, recurrence patterns, and survival. Conclusion states MPR is significant, can serve as a surrogate for pCR, and makes adjuvant therapy unnecessary for MPR patients.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, MPR emerges as a significant prognostic factor in ESCC patients undergoing nICT, with outcomes similar to those achieving pCR. These findings warrant consideration of MPR as a potential surrogate endpoint for pCR and highlight the need to refine treatment strategies based on pathological responses. Further studies are necessary to confirm these results and to explore the integration of MPR into clinical practice, potentially leading to more personalized and effective treatment approaches for ESCC patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Fujian Medical University Union Hospital (Ethics number: 2025KY012). The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because Written informed consent was waived because of the retrospective design.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SX: Investigation, Conceptualization, Formal analysis, Writing &#x2013; original draft, Data curation. SH: Writing &#x2013; review &amp; editing, Data curation. ZT: Data curation, Writing &#x2013; review &amp; editing. HZ: Writing &#x2013; review &amp; editing, Data curation. JXu: Data curation, Writing &#x2013; review &amp; editing. SK: Data curation, Writing &#x2013; review &amp; editing, Supervision. JXie: Data curation, Supervision, Writing &#x2013; review &amp; editing. RX: Writing &#x2013; review &amp; editing, Data curation, Supervision. YC: Supervision, Data curation, Writing &#x2013; review &amp; editing. ZH: Writing &#x2013; review &amp; editing, Supervision, Data curation. MK: Writing &#x2013; review &amp; editing, Conceptualization, Supervision.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We appreciate the support by FigDraw.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" 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="s13" 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.2025.1599526/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1599526/full#supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>nCT, neoadjuvant chemotherapy; nCRT, neoadjuvant chemoradiotherapy; nICT, neoadjuvant chemoimmunotherapy; aIT, adjuvant immunotherapy; aICT, adjuvant chemoimmunotherapy; aCT, adjuvant chemotherapy; AT, adjuvant therapy; LA-ESCC, locally advanced ESCC; PSM, propensity score matching; RFS, recurrence-free survival; ESCC, esophageal squamous cell cancer.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
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