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<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>
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<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1741482</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>Impact of immune-related adverse events on treatment outcomes in advanced esophageal squamous cell carcinoma treated with immune checkpoint inhibitors</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname><given-names>Tianhang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</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>Chen</surname><given-names>Xiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Jianhua</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Jiasong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Qin</surname><given-names>Zhukun</given-names></name>
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<name><surname>Cao</surname><given-names>Ruijie</given-names></name>
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<contrib contrib-type="author">
<name><surname>Guo</surname><given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Guo</surname><given-names>Zhanjun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Fan</surname><given-names>Haiyan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Rheumatology and Immunology, The Fourth Hospital of Hebei Medical University</institution>, <city>Shijiazhuang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Animal Center, The Fourth Hospital of Hebei Medical University</institution>, <city>Shijiazhuang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Gastroenterology and Hepatology, The Fourth Hospital of Hebei Medical University</institution>, <city>Shijiazhuang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Laboratory of Pathology, Hebei Cancer Institute, The Fourth Hospital of Hebei Medical University</institution>, <city>Shijiazhuang</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Zhanjun Guo, <email xlink:href="mailto:zjguo5886@hebmu.edu.cn">zjguo5886@hebmu.edu.cn</email>; Haiyan Fan, <email xlink:href="mailto:47800617@hebmu.edu.cn">47800617@hebmu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-05">
<day>05</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>1741482</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Zhang, Chen, Wu, Li, Qin, Cao, Guo, Guo and Fan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhang, Chen, Wu, Li, Qin, Cao, Guo, Guo and Fan</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-05">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>While immune-related adverse events (irAEs) are associated with better prognosis in advanced esophageal squamous cell carcinoma (ESCC), the prognostic impact of single-organ irAE (uni-irAE), multiple-organ irAEs (multi-irAEs), and organ-specific irAEs remains poorly understood. This study aimed to address this gap by evaluating the effects of various irAEs on survival and characterizing the co-occurrence patterns of multi-irAEs in ESCC patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively analyzed 213 ESCC patients treated with immune checkpoint inhibitor (ICI), dividing them into non-irAE, uni-irAE, and multi-irAEs groups to compare their efficacy and prognosis. Baseline characteristics and efficacy outcomes were compared by Chi-square test. Prognostic analysis was performed using Kaplan-Meier survival analysis with the log-rank test and Cox proportional hazard models. The Mann-Whitney U test was used to compare the time to onset of irAEs. Additionally, logistic regression analysis was conducted to identify risk factors associated with the development of multi-irAEs.</p>
</sec>
<sec>
<title>Results</title>
<p>Patients who developed irAEs exhibited a significantly higher disease control rate (DCR) compared to patients without irAEs (94.9% <italic>vs</italic>. 82.1%, <italic>p</italic> = 0.007). This was observed in both the uni-irAE group (93.4% <italic>vs</italic> 82.1%, <italic>p</italic> = 0.036) and as a trend in the multi-irAEs group (100% <italic>vs</italic>. 82.1%, <italic>p</italic> = 0.078) when compared to the non-irAE group. Multivariate analysis revealed that the development of uni-irAE was an independent protective factor for both progression-free survival (PFS; hazard ratio [HR] 0.57, 95% confidence interval [CI] 0.39-0.83, <italic>p</italic> = 0.003) and overall survival (OS; HR 0.64, 95% CI 0.44-0.95, <italic>p</italic> = 0.028). Similarly, multi-irAEs were identified as an independent protective factor for OS (HR 0.41, 95% CI 0.20-0.86, <italic>p</italic> = 0.019). Analysis of co-occurrence patterns showed that endocrine irAEs were frequently leading to multi-irAEs. Furthermore, a multivariate Cox regression confirmed that endocrine irAEs and mild (grade 2 or lower) irAEs were independently associated with favorable survival outcomes.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The occurrence of both uni-irAE and multi-irAEs was associated with favorable prognosis in ESCC patients treated with ICIs. Furthermore, patients who developed endocrine irAEs or mild irAEs also demonstrated improved efficacy, suggesting their potential as clinical response markers for a positive response to therapy. This finding emphasizes the necessity of vigilant monitoring and early intervention for irAEs in patients undergoing ICIs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>esophageal squamous cell carcinoma</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>immune-related adverse events</kwd>
<kwd>prognosis</kwd>
<kwd>therapeutic efficacy</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The present study was supported by the Central Government Guides Local Funds Supported by S&amp;T Program of Hebei (246Z7741G).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="91"/>
<page-count count="18"/>
<word-count count="6625"/>
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<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">
<label>1</label>
<title>Introduction</title>
<p>Esophageal cancer (EC) is a major malignant tumor of the digestive system, ranking as the eighth most common cancer and the sixth leading cause of cancer-related mortality worldwide, with an estimated 604,000 new cases and 544,000 deaths annually (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Under the influence of genetic factors and various environmental factors, the incidence and mortality rates of EC exhibit variations across different geographical regions, genders, and ethnicities (<xref ref-type="bibr" rid="B3">3</xref>). Particularly remarkable is China, where esophageal squamous cell carcinoma (ESCC) constitutes the most prevalent subtype (approximately 90% of all esophageal cancer cases), and accounts for more than half of the new cases and deaths worldwide (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Early-stage EC is primarily treated with endoscopic therapy and surgical resection (<xref ref-type="bibr" rid="B6">6</xref>). However, many patients are unsuitable for surgery because of the location in the upper thoracic segment of the esophagus, and many others are initially diagnosed at an advanced stage and thus lose the opportunity for surgery (<xref ref-type="bibr" rid="B6">6</xref>). Thereby, the standard systemic treatment, mainly encompassing chemotherapy and immunotherapy, is particularly crucial for unresectable or advanced EC. Prior to 2017, paclitaxel, platinum and fluorouracil were commonly utilized chemotherapeutic agents that dominated in the treatment for a long time, but the five-year survival rate remained below 5%, and even lower for advanced ESCC patients (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The treatment landscape was fundamentally transformed by the introduction of immune checkpoint inhibitors (ICIs), which target the programmed death 1 (PD-1)/programmed death&#x2010;ligand 1 (PD-L1) axis to enhance T-cell-mediated anti-tumor immunity (<xref ref-type="bibr" rid="B9">9</xref>). Since 2017, there have been continuous developments in the application of immunotherapy for advanced ESCC. The clinical exploration of immunotherapy began with the ATTRACTION-1 trial of nivolumab and the KEYNOTE-181 trial of pembrolizumab, which focused on its application in second-line and subsequent-line treatments (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Then this success was subsequently extended to the first-line setting, with large-scale Phase III clinical trials (such as KEYNOTE-590 trial of pembrolizumab, CheckMate-648 trial of nivolumab, ORIENT-15 trial of sintilimab, and RATIONALE-306 trial of tislelizumab) demonstrating the significant efficacy of ICIs (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Based on the results of these studies, both the 2023.V3 National Comprehensive Cancer Network (NCCN) Guidelines and the Chinese American Society of Clinical Oncology (ASCO) Guidelines for 2023 recommend the use of various immunotherapy regimens in combination with chemotherapy as first-line or subsequent-line treatment options for ESCC (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). However, the initiation of ICIs can result in the emergence of immune-related adverse events (irAEs), which represent a double-edged sword in cancer immunotherapy. On one hand, irAEs can affect multiple systems and are potentially life-threatening (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). On the other hand, their underlying pathophysiological mechanisms, including T-cell-mediated cytotoxicity, elevated autoantibody levels, inflammatory cytokine release, and complement-mediated inflammation, may reflect a robust anti-tumor immune response, thereby contributing to favorable therapeutic outcomes (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Accumulating evidence indicates that irAEs serve as a biomarker for improved outcomes in various malignancies, including lung cancer, hepatocellular carcinoma, gastric cancer, and renal cell carcinoma (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Research is now moving beyond the binary presence of irAEs to investigate the prognostic impact of single-organ irAE (uni-irAE), multiple-organ irAEs (multi-irAEs), and organ-specific irAE (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>). While the occurrence of irAEs predicts better outcomes in EC patients, the relationship between subtypes of irAEs (uni-irAE, multi-irAEs, and organ-specific irAE) and outcomes remains particularly underexplored (<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Therefore, we conducted this study to determine how irAE characteristics, such as number, affected organ, and severity, influence therapeutic efficacy and prognosis in ESCC patients undergoing ICI therapy. Furthermore, we investigated the specific irAE co-occurrence patterns across multiple organs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patient</title>
<p>This retrospective study enrolled 213 patients with advanced ESCC received anti-PD-1 antibodies who were admitted to the Fourth Hospital of Hebei Medical University between August 2019 and April 2025. Inclusion criteria were as follows: a. Pathologically confirmed squamous cell carcinoma, b. Diagnosis of advanced unresectable tumor according to NCCN guidelines (<xref ref-type="bibr" rid="B17">17</xref>); c. First-line treatment with chemotherapy combined with immunotherapy, with or without local radiotherapy and targeted therapy, d. Receipt of at least three cycles of ICIs; d. Eastern Cooperative Oncology Group (ECOG) score &#x2264;2; f. Availability of baseline and post-treatment imaging evaluation data, with at least one completed imaging assessment. Exclusion criteria were as follows: a. Preexisting autoimmune diseases; b. Pathological types other than squamous cell carcinoma; c. History of other malignant tumors; d. ECOG score &#x2265;3 or multiple organs failure.</p>
<p>The study systematically collected data including baseline levels of neutrophil-to-lymphocyte ratio (NLR), as well as clinical variables including gender, age, ECOG score, tumor node metastasis (TNM) stage, tumor differentiation, tumor site, PD-L1 expression, history of surgery, chemotherapy regimen and the type of irAEs.</p>
<p>All procedures were conducted in line with the Helsinki Declaration of 1964 and its later amendments and have been reviewed and sanctioned by the Ethics Committee of the Fourth Hospital of Hebei Medical University. Due to the retrospective design of the study, the requirement for informed consent was waived.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment efficiency assessment and follow-up</title>
<p>IrAEs were identified and assessed by physicians or pharmacists, and all events were graded for severity and classified according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 (Common Terminology Criteria for Adverse Events (CTCAE)). In this study, we defined mild irAEs as those of grade 2 or lower while severe irAEs as those of grade 3 or higher. We defined a &#x201c;uni-irAE&#x201d; as an irAE affecting a single organ, and &#x201c;multi-irAEs&#x201d; as those affecting two or more organs. The affected organs included dermatologic, gastrointestinal, endocrine, cardiac, pulmonary, and hepatic. In the analysis of organ-specific irAEs, the other patients&#x2019; group was defined as all patients excluding those with the corresponding organ-specific irAEs. In this study, we performed group comparisons across three distinct criteria: by the number of affected organs (non-irAE, uni-irAE, multi-irAEs), by the organ-specific (organ-specific irAE, other patients), and by the severity (non-irAE, mild-irAE, severe-irAE).</p>
<p>Patients received anti-PD-1 therapy in 21-day cycles. Tumor response was evaluated radiologically using computed tomography (CT) scans or magnetic resonance imaging (MRI) scans every 2 to 3 treatment cycles, with assessments based on the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 until disease progression or death occurred (<xref ref-type="bibr" rid="B39">39</xref>). Complete response (CR) was defined as the disappearance of all target lesions, and partial response (PR) was defined as at least a 30% decrease in the sum of diameters of target lesions. Progressive disease (PD) was defined as at least a 20% increase in the sum of diameters of target lesions with an absolute increase of at least 5 mm or the appearance of new lesions. Stable disease (SD) was defined as changes in tumor size that did not meet the criteria for PR or PD. The disease control rate (DCR) was the proportion with a CR, PR, or SD.</p>
<p>All patients were monitored through re-hospitalization, outpatient clinic visits, and telephone follow-ups until death or loss of contact for any reason. Survival endpoints included: progression-free survival (PFS), defined as the time from immunotherapy initiation to disease progression, death from any cause, or data censoring at the last follow-up; overall survival (OS), defined as the duration from treatment start to death or censoring at the last follow-up; The end point of follow-up was 10 October 2025 or the date of death.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data analysis</title>
<p>Statistical analyses were conducted using SPSS version 27.0 and R version 4.5.0. Pearson&#x2019;s chi-square test and Fisher&#x2019;s exact test were performed to compare the groups. Survival outcomes were assessed using the Kaplan-Meier survival analysis with the log-rank test. Univariate and multivariate Cox proportional hazard models were used to assess the prognostic impact of irAEs. Univariate logistic regression analyses were employed to evaluate risk factors for the development of multi-irAEs. The time to onset of irAEs was compared between the organ-specific irAE group and the multi-irAEs group using the Mann-Whitney U test. Univariate and multivariate Cox proportional hazard models for OS and PFS were constructed only for organ-specific irAE with more than 10 cases. Two-tailed <italic>p</italic> values were calculated and statistical significance was defined as <italic>p</italic> &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Baseline characteristics of the patients</title>
<p>The study incorporated a total of 213 patients diagnosed with advanced ESCC, all of whom were administered anti-PD-1 antibodies, including sintilimab, tislelizumab, camrelizumab, pembrolizumab, nivolumab, toripalimab, and serplulimab (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Table S1</bold></xref>). We compared the incidence of irAEs among different types of ICIs with more than 5 reported cases and found no statistically significant differences (<xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Table S2</bold></xref>). We classified these patients into three groups according to the number of affected organs: 134 (62.91%) with non-irAE, 61 (28.63%) with uni-irAE, and 18 (8.45%) with multi-irAEs. The patients&#x2019; baseline characteristics are shown in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, no significant difference was observed among the non-irAE group, uni-irAE group and multi-irAEs group in terms of median Age, NLR, age, gender, ECOG score, TNM stage, tumor differentiation, tumor site, PD-L1 expression, history of surgery, chemotherapy regimen.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristic of the patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="left">Total (n = 213)</th>
<th valign="middle" align="left">Non-irAE (n = 134)</th>
<th valign="middle" align="left">Uni-irAE (n = 61)</th>
<th valign="middle" align="left">Multi-irAE (n = 18)</th>
<th valign="middle" align="left"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Median Age (IQR)</td>
<td valign="middle" align="left">68.00 (62.00, 73.00)</td>
<td valign="middle" align="left">68.00 (61.00,72.00)</td>
<td valign="middle" align="left">67.50 (62.00,74.25)</td>
<td valign="middle" align="left">69.50 (67.25,73.25)</td>
<td valign="middle" align="left">0.458</td>
</tr>
<tr>
<td valign="middle" align="left">NLR (ratio)</td>
<td valign="middle" align="left">3.46 (2.40, 4.79)</td>
<td valign="middle" align="left">3.48 (2.52,5.03)</td>
<td valign="middle" align="left">3.24 (2.23,4.43)</td>
<td valign="middle" align="left">3.91 (2.79,4.71)</td>
<td valign="middle" align="left">0.485</td>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.145</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">62 (29.11)</td>
<td valign="middle" align="left">36 (26.87)</td>
<td valign="middle" align="left">23 (37.70)</td>
<td valign="middle" align="left">3 (16.67)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">151 (70.89)</td>
<td valign="middle" align="left">98 (73.13)</td>
<td valign="middle" align="left">38 (62.30)</td>
<td valign="middle" align="left">15 (83.33)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age Group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.148</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;65</td>
<td valign="middle" align="left">67 (31.46)</td>
<td valign="middle" align="left">44 (32.84)</td>
<td valign="middle" align="left">21 (34.43)</td>
<td valign="middle" align="left">2 (11.11)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;65</td>
<td valign="middle" align="left">146 (68.54)</td>
<td valign="middle" align="left">90 (67.16)</td>
<td valign="middle" align="left">40 (65.57)</td>
<td valign="middle" align="left">16 (88.89)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">NLR</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.589</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&lt;3</td>
<td valign="middle" align="left">83 (39.15)</td>
<td valign="middle" align="left">50 (37.59)</td>
<td valign="middle" align="left">27 (44.26)</td>
<td valign="middle" align="left">6 (33.33)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&#x2265;3</td>
<td valign="middle" align="left">129 (60.85)</td>
<td valign="middle" align="left">83 (62.41)</td>
<td valign="middle" align="left">34 (55.74)</td>
<td valign="middle" align="left">12 (66.67)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">ECOG</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.499</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">175 (82.16)</td>
<td valign="middle" align="left">108 (80.60)</td>
<td valign="middle" align="left">53 (86.89)</td>
<td valign="middle" align="left">14 (77.78)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">38 (17.84)</td>
<td valign="middle" align="left">26 (19.40)</td>
<td valign="middle" align="left">8 (13.11)</td>
<td valign="middle" align="left">4 (22.22)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TNM stage</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.103</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">22 (10.33)</td>
<td valign="middle" align="left">10 (7.46)</td>
<td valign="middle" align="left">11 (18.03)</td>
<td valign="middle" align="left">1 (5.56)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">82 (38.50)</td>
<td valign="middle" align="left">49 (36.57)</td>
<td valign="middle" align="left">26 (42.62)</td>
<td valign="middle" align="left">7 (38.89)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">109 (51.17)</td>
<td valign="middle" align="left">75 (55.97)</td>
<td valign="middle" align="left">24 (39.34)</td>
<td valign="middle" align="left">10 (55.56)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor differentiation</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.243</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Medium to high</td>
<td valign="middle" align="left">180 (84.51)</td>
<td valign="middle" align="left">113 (84.33)</td>
<td valign="middle" align="left">54 (88.52)</td>
<td valign="middle" align="left">13 (72.22)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="middle" align="left">33 (15.49)</td>
<td valign="middle" align="left">21 (15.67)</td>
<td valign="middle" align="left">7 (11.48)</td>
<td valign="middle" align="left">5 (27.78)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor site</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.600</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="left">37 (17.37)</td>
<td valign="middle" align="left">23 (17.16)</td>
<td valign="middle" align="left">11 (18.03)</td>
<td valign="middle" align="left">3 (16.67)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="left">69 (32.39)</td>
<td valign="middle" align="left">47 (35.07)</td>
<td valign="middle" align="left">17 (27.87)</td>
<td valign="middle" align="left">5 (27.78)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="left">51 (23.94)</td>
<td valign="middle" align="left">35 (26.12)</td>
<td valign="middle" align="left">12 (19.67)</td>
<td valign="middle" align="left">4 (22.22)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other</td>
<td valign="middle" align="left">56 (26.29)</td>
<td valign="middle" align="left">29 (21.64)</td>
<td valign="middle" align="left">21 (34.43)</td>
<td valign="middle" align="left">6 (33.33)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">PD-L1 expression</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.618</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="middle" align="left">73 (34.27)</td>
<td valign="middle" align="left">43 (32.09)</td>
<td valign="middle" align="left">25 (40.98)</td>
<td valign="middle" align="left">5 (27.78)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="middle" align="left">1 (0.47)</td>
<td valign="middle" align="left">1 (0.75)</td>
<td valign="middle" align="left">0 (0.00)</td>
<td valign="middle" align="left">0 (0.00)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">139 (65.26)</td>
<td valign="middle" align="left">90 (67.16)</td>
<td valign="middle" align="left">36 (59.02)</td>
<td valign="middle" align="left">13 (72.22)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">History of surgery</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.652</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">28 (13.15)</td>
<td valign="middle" align="left">16 (11.94)</td>
<td valign="middle" align="left">11 (18.03)</td>
<td valign="middle" align="left">1 (5.56)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">57 (26.76)</td>
<td valign="middle" align="left">35 (26.12)</td>
<td valign="middle" align="left">16 (26.23)</td>
<td valign="middle" align="left">6 (33.33)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Number of metastases</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.436</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">152 (71.70)</td>
<td valign="middle" align="left">92 (68.66)</td>
<td valign="middle" align="left">47 (77.05)</td>
<td valign="middle" align="left">13 (76.47)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">60 (28.30)</td>
<td valign="middle" align="left">42 (31.34)</td>
<td valign="middle" align="left">14 (22.95)</td>
<td valign="middle" align="left">4 (23.53)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Chemotherapy regimen</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.321</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">33 (15.49)</td>
<td valign="middle" align="left">18 (13.43)</td>
<td valign="middle" align="left">13 (21.31)</td>
<td valign="middle" align="left">2 (11.11)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TP</td>
<td valign="middle" align="left">180 (84.51)</td>
<td valign="middle" align="left">116 (86.57)</td>
<td valign="middle" align="left">48 (78.69)</td>
<td valign="middle" align="left">16 (88.89)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; Uni-irAE, single-organ irAE; Multi-irAEs, multiple-organ irAEs; NLR, Neutrophil to Lymphocyte Ratio; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; PD-L1, programmed cell death ligand 1.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Association between irAEs and treatment efficacy</title>
<p>The overall DCR of PD-1 treatment was 86.9% (n=185), with 94.9% (n=75) in the non-irAE group whereas 82.1% (n=110) in the irAEs group. As shown in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, the occurrence of irAEs was significantly associated with a higher DCR compared to the non-irAE group (<italic>p</italic> = 0.007). This association remained significant for patients with uni-irAE (<italic>p</italic> = 0.036) and showed a strong trend for those with multi-irAEs (<italic>p</italic> = 0.078). There was no significant difference in DCR between the uni-irAE group and multi-irAEs group. These data demonstrated that the occurrence of uni-irAE was associated with an improved treatment response.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Response to ICI of irAEs, non-irAE, uni-irAE, and multi-irAEs groups in ESCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Comparison</th>
<th valign="middle" align="left">PD</th>
<th valign="middle" align="left">SD</th>
<th valign="middle" align="left">PR</th>
<th valign="middle" align="left">CR</th>
<th valign="middle" align="left">DCR</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Non-irAE group vs irAEs group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.007</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-irAE group</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">81</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">82.1%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;irAEs group</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">56</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">94.9%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Non-irAE group vs Uni-irAE group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.036</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-irAE group</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">81</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">82.1%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Uni-irAE group</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">42</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">93.4%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Non-irAE group vs Multi-irAEs group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.078</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-irAE group</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">81</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">82.1%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Multi-irAEs group</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">100%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Uni-irAE group vs Multi-irAEs group</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.569</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Uni-irAE group</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">42</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">93.4%</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Multi-irAEs group</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">100%</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; Uni-irAE, single-organ irAE; Multi-irAEs, multiple-organ irAEs; ESCC, esophageal squamous cell carcinoma; SD, stable disease; PR, partial response; PD, progressive disease; CR, complete response; ORR, objective response rate; DCR, disease control rate.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The median PFS was 10.67 months (95% confidence interval [CI]: 8.83-13.67) in the non-irAE group, 14.87 months (95% CI: 11.53-24.83) in the uni-irAE group, and 12.47 months (95% CI: 7.68-17.25) in the multi-irAEs group, respectively (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Table S3</bold></xref>). Kaplan-Meier analysis (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) revealed that the uni-irAE group experienced a significantly longer median PFS compared to the non-irAE group (<italic>p</italic> = 0.002), while no significant differences were found between the uni-irAE and multi-irAEs groups (<italic>p</italic> = 0.094) or between the non-irAE and multi-irAEs groups (<italic>p</italic> = 0.076). Multivariate Cox analysis confirmed uni-irAE as an independent protective factor for PFS (hazard ratio [HR]: 0.57; 95% CI: 0.39-0.83; <italic>p</italic> = 0.003), alongside other independent predictors such as chemotherapy regimen (HR: 0.56; 95% CI: 0.38-0.85; <italic>p</italic> = 0.006), ECOG score (HR: 2.11;95% CI: 1.42-3.14; <italic>p</italic> &lt; 0.001), and number of metastases (HR: 1.63;95% CI: 1.15-2.29; <italic>p</italic> = 0.005) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). These findings collectively indicate that the occurrence of uni-irAE is associated with superior PFS.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The Kaplan-Meier curve of progression-free survival (PFS) and overall survival (OS) of all patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1741482-g001.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curves show overall survival (OS) and progression-free survival (PFS) for three groups: Non-irAE (red), Uni-irAE (yellow), and Multi-irAE (blue). The OS graph shows a significant difference between Non-irAE and Uni-irAE (p=0.009), and Non-irAE and Multi-irAE (p=0.003). The PFS graph shows a significant  difference between Non-irAE and Uni-irAE (p=0.002). Numbers at risk are listed below each graph for time intervals. Shaded areas represent 95% confidence intervals for each group. </alt-text>
</graphic></fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multiple Cox proportional hazard model for PFS in ESCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="left">Univariate analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1.10 (0.78-1.54)</td>
<td valign="middle" align="left">0.595</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;65</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;65</td>
<td valign="middle" align="left">0.93 (0.67-1.29)</td>
<td valign="middle" align="left">0.659</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ECOG</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">2.23 (1.52-3.29)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">2.11 (1.42-3.14)</td>
<td valign="middle" align="left">&lt;.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">NLR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&lt;3</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&#x2265;3</td>
<td valign="middle" align="left">1.11 (0.81-1.52)</td>
<td valign="middle" align="left">0.533</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">1.49 (0.83-2.66)</td>
<td valign="middle" align="left">0.182</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">1.70 (0.97-3.00)</td>
<td valign="middle" align="left">0.065</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor differentiation</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Medium to high</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="middle" align="left">1.08 (0.72-1.62)</td>
<td valign="middle" align="left">0.721</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor site</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="left">0.88 (0.57-1.36)</td>
<td valign="middle" align="left">0.561</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="left">0.84 (0.53-1.34)</td>
<td valign="middle" align="left">0.470</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other</td>
<td valign="middle" align="left">0.74 (0.46-1.19)</td>
<td valign="middle" align="left">0.215</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">PD-L1 expression</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="middle" align="left">1.15 (0.63-2.10)</td>
<td valign="middle" align="left">0.638</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">1.49 (0.87-2.56)</td>
<td valign="middle" align="left">0.150</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">History of surgery</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">1.01 (0.57-1.78)</td>
<td valign="middle" align="left">0.976</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of metastases</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">1.61 (1.15-2.25)</td>
<td valign="middle" align="left">0.006</td>
<td valign="middle" align="left">1.63 (1.15-2.29)</td>
<td valign="middle" align="left">0.005</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Chemotherapy regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TP</td>
<td valign="middle" align="left">0.54 (0.36-0.80)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">0.56 (0.38-0.85)</td>
<td valign="middle" align="left">0.006</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">IrAE groups</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-irAE</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Uni-irAE</td>
<td valign="middle" align="left">0.57 (0.39-0.82)</td>
<td valign="middle" align="left">0.003</td>
<td valign="middle" align="left">0.57 (0.39-0.83)</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Multi-irAEs</td>
<td valign="middle" align="left">0.61 (0.34-1.10)</td>
<td valign="middle" align="left">0.100</td>
<td valign="middle" align="left">0.62 (0.33-1.13)</td>
<td valign="middle" align="left">0.118</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; Uni-irAE, single-organ irAE; Multi-irAEs, multiple-organ irAEs; NLR, Neutrophil to Lymphocyte Ratio; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; HR, hazard ratio; PD-L1, programmed cell death ligand 1; PFS, progression free survival.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The median OS was 15.27 months (95% CI: 13.53-18.50) in the non-irAE group, 22.00 months (95% CI: 14.77-31.23) in the uni-irAE group, and 27.27 months (95% CI: 15.87-47.27) in the multi-irAEs group, respectively (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Table S3</bold></xref>). Kaplan-Meier analysis revealed that the median OS was significantly longer in both the uni-irAE (<italic>p</italic> = 0.009) and multi-irAEs (<italic>p</italic> = 0.003) groups compared to the non-irAE group. However, no significant difference in OS was observed between the uni-irAE and multi-irAEs groups(<italic>p</italic> = 0.249). Then multivariate Cox analysis identified both uni-irAE (HR: 0.64; 95% CI: 0.44-0.95; <italic>p</italic> = 0.028) and multi-irAEs (HR: 0.41; 95% CI: 0.20-0.86; <italic>p</italic> = 0.019) as independent protective factors for OS. In contrast, a higher ECOG score and an increased number of metastases were identified as independent predictors of shorter OS (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Collectively, these findings demonstrate that the occurrence of irAEs modify the treatment efficiency of ICI with uni-irAE linking with higher DCR, PFS, and OS while multi-irAEs linking to the most favorable OS.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multiple Cox proportional hazard model for OS in ESCC patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="left">Univariate analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1.18 (0.82-1.69)</td>
<td valign="middle" align="left">0.383</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;65</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;65</td>
<td valign="middle" align="left">0.92 (0.65-1.29)</td>
<td valign="middle" align="left">0.623</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ECOG</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">2.15 (1.43-3.24)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">2.02 (1.34-3.06)</td>
<td valign="middle" align="left">&lt;.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">NLR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&lt;3</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&#x2265;3</td>
<td valign="middle" align="left">1.29 (0.92-1.80)</td>
<td valign="middle" align="left">0.142</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">1.00 (0.55-1.81)</td>
<td valign="middle" align="left">0.996</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">1.27 (0.72-2.25)</td>
<td valign="middle" align="left">0.409</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor differentiation</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Medium to high</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="middle" align="left">0.79 (0.50-1.25)</td>
<td valign="middle" align="left">0.316</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor site</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="left">1.00 (0.63-1.59)</td>
<td valign="middle" align="left">0.993</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="left">1.00 (0.61-1.64)</td>
<td valign="middle" align="left">0.989</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Other</td>
<td valign="middle" align="left">0.87 (0.53-1.43)</td>
<td valign="middle" align="left">0.575</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">PD-L1 expression</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="middle" align="left">0.97 (0.51-1.86)</td>
<td valign="middle" align="left">0.935</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">1.34 (0.75-2.39)</td>
<td valign="middle" align="left">0.329</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">History of surgery</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">1.02 (0.57-1.81)</td>
<td valign="middle" align="left">0.955</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of metastases</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">1.75 (1.23-2.50)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">1.74 (1.22-2.47)</td>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Chemotherapy regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TP</td>
<td valign="middle" align="left">0.68 (0.45-1.02)</td>
<td valign="middle" align="left">0.060</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">IrAE groups</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-irAE</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Uni-irAE</td>
<td valign="middle" align="left">0.59 (0.40-0.87)</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left">0.64 (0.44-0.95)</td>
<td valign="middle" align="left">0.028</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Multi-irAEs</td>
<td valign="middle" align="left">0.36 (0.17-0.74)</td>
<td valign="middle" align="left">0.006</td>
<td valign="middle" align="left">0.41 (0.20-0.86)</td>
<td valign="middle" align="left">0.019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; Uni-irAE, single-organ irAE; Multi-irAEs, multiple-organ irAEs; HR, hazard ratio; NLR, Neutrophil to Lymphocyte Ratio; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; PD-L1, programmed cell death ligand 1; OS, overall survival.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Co-occurrence pattern of multi-irAEs</title>
<p>The most common uni-irAE was thyroiditis (32.79%), while the most frequent multi-irAEs combinations were thyroiditis-adrenal insufficiency (16.67%) (<xref ref-type="supplementary-material" rid="SF4"><bold>Supplementary Table S4</bold></xref>; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). Notably, most multi-irAEs developed sequentially (77.78%) rather than simultaneously. Univariate logistic regression analysis showed that endocrine irAEs were significantly associated with the occurrence of multi-irAEs (odds ratio [OR]:3.27; 95% CI: 1.04-10.32; <italic>p</italic> = 0.043). In contrast, hepatitis, dermatologic, and pulmonary irAEs were not significantly associated with the development of multi-irAEs (all <italic>p</italic> &gt; 0.05) (<xref ref-type="supplementary-material" rid="SF5"><bold>Supplementary Table S5</bold></xref>). We explored potential predictors of multi-irAEs using logistic regression, but none of the patient characteristics reached statistical significance (data not shown).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Types of irAEs in the uni-irAE and multi-irAE groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1741482-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing the frequency of immune-related adverse events (irAE) in two groups: Uni-irAE and Multi-irAEs. In the Uni-irAE group, thyroiditis is the most common at 32.79%, followed by pneumonitis at 18.03%. For the Multi-irAEs group, thyroiditis leads at 25%, with adrenal insufficiency at 20%. Data is shown with descending bars indicating percentages for multiple conditions in each group.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Timepoint of irAEs onset</title>
<p>As shown in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, the median times to onset for the four organ irAEs were 1.90 months (dermatologic irAEs), 4.17 months (endocrine irAEs), 3.68 months (hepatic irAEs), and 4.92 months (pulmonary irAEs). A comparison of onset times of the same irAE between uni-irAE and multi-irAEs groups revealed no significant differences for these irAE category (<italic>p</italic>&gt;0.05). This suggests that the development of multiple irAEs is not a time-dependent phenomenon.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p><bold>(a)</bold> Time to onset of organ-specific irAEs (median, range, and months). Time to onset of endocrine <bold>(b)</bold>, hepatic <bold>(c)</bold>, dermatologic <bold>(d)</bold>, pulmonary <bold>(e)</bold> irAEs in uni-irAE and multi-irAE groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1741482-g003.tif">
<alt-text content-type="machine-generated">Graph (a) illustrates the time to onset of irAEs following ICIs for hepatic, dermatologic, pulmonary, musculoskeletal, renal, gastrointestinal, cardiac, and endocrine conditions. Box plots (b) to (e) compare onset times between Uni-irAE and Multi-irAEs for endocrine, hepatic, dermatologic, and pulmonary events, respectively, with p-values indicating significance.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Effect of organ-specific irAEs on ICI outcomes</title>
<p>We analyzed the impact of organ-specific irAEs on treatment efficacy and prognosis. Endocrine irAEs uniquely predicted better therapeutic efficacy and survival. Patients developing these irAEs showed a higher DCR (100% <italic>vs</italic>. 83.8%, <italic>p</italic> = 0.006) and significantly longer median PFS (18.33 months <italic>vs</italic>. 10.67 months, <italic>p</italic> &lt; 0.001) and OS (24.37 months <italic>vs</italic>. 15.33 months, <italic>p</italic> = 0.006) (<xref ref-type="supplementary-material" rid="SF6"><bold>Supplementary Tables S6</bold></xref>, <xref ref-type="supplementary-material" rid="SF7"><bold>S7</bold></xref>; <xref ref-type="supplementary-material" rid="SF14"><bold>Supplementary Figure S1</bold></xref>). Furthermore, Multivariate analysis identified endocrine irAEs as an independent protective factor for both extended PFS (HR: 0.47; 95% CI: 0.29-0.78; <italic>p</italic> = 0.003) and OS (HR: 0.55; 95% CI: 0.32-0.92; <italic>p</italic> = 0.024) (<xref ref-type="table" rid="T5"><bold>Tables&#xa0;5</bold></xref>, <xref ref-type="table" rid="T6"><bold>6</bold></xref>). No other organ-specific irAEs had a statistically significant impact on prognosis (all <italic>p</italic> &gt; 0.05) (<xref ref-type="supplementary-material" rid="SF8"><bold>Supplementary Tables S8</bold></xref>, <xref ref-type="supplementary-material" rid="SF9"><bold>S9</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Univariate and multivariate Cox proportional hazards analysis of PFS by endocrine irAE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="left">Univariate analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P</italic>-value</th>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1.10 (0.78 - 1.54)</td>
<td valign="middle" align="left">0.595</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;65</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;65</td>
<td valign="middle" align="left">0.93 (0.67 - 1.29)</td>
<td valign="middle" align="left">0.659</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ECOG</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">2.23 (1.52 - 3.29)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">2.15 (1.45 - 3.20)</td>
<td valign="middle" align="left">&lt;.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">NLR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&lt;3</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&#x2265;3</td>
<td valign="middle" align="left">1.11 (0.81 - 1.52)</td>
<td valign="middle" align="left">0.533</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">1.49 (0.83 - 2.66)</td>
<td valign="middle" align="left">0.182</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">1.70 (0.97 - 3.00)</td>
<td valign="middle" align="left">0.065</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor differentiation</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Medium to high</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="middle" align="left">1.08 (0.72 - 1.62)</td>
<td valign="middle" align="left">0.721</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor site</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="left">0.88 (0.57 - 1.36)</td>
<td valign="middle" align="left">0.561</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="left">0.84 (0.53 - 1.34)</td>
<td valign="middle" align="left">0.470</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other</td>
<td valign="middle" align="left">0.74 (0.46 - 1.19)</td>
<td valign="middle" align="left">0.215</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">PD-L1 expression</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="middle" align="left">1.15 (0.63 - 2.10)</td>
<td valign="middle" align="left">0.638</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">1.49 (0.87 - 2.56)</td>
<td valign="middle" align="left">0.150</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">History of surgery</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">1.01 (0.57 - 1.78)</td>
<td valign="middle" align="left">0.976</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of metastases</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">1.61 (1.15 - 2.25)</td>
<td valign="middle" align="left">0.006</td>
<td valign="middle" align="left">1.56 (1.11 - 2.19)</td>
<td valign="middle" align="left">0.011</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Chemotherapy regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TP</td>
<td valign="middle" align="left">0.54 (0.36 - 0.80)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">0.62 (0.42 - 0.93)</td>
<td valign="middle" align="left">0.020</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Endocrine irAEs</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Endocrine irAEs</td>
<td valign="middle" align="left">0.43 (0.26 - 0.70)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">0.47 (0.29 - 0.78)</td>
<td valign="middle" align="left">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; HR, hazard ratio; NLR, Neutrophil to Lymphocyte Ratio; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; PD-L1, programmed cell death ligand 1; PFS, progression free survival.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Univariate and multivariate Cox proportional hazards analysis of OS by endocrine irAE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="left">Univariate analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
<th valign="middle" align="left">HR (95%CI)</th>
<th valign="middle" align="left"><italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1.18 (0.82 - 1.69)</td>
<td valign="middle" align="left">0.383</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;65</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;65</td>
<td valign="middle" align="left">0.92 (0.65 - 1.29)</td>
<td valign="middle" align="left">0.623</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ECOG</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">2.15 (1.43 - 3.24)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">2.15 (1.42 - 3.24)</td>
<td valign="middle" align="left">&lt;.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">NLR</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&lt;3</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR&#x2265;3</td>
<td valign="middle" align="left">1.29 (0.92 - 1.80)</td>
<td valign="middle" align="left">0.142</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">1.00 (0.55 - 1.81)</td>
<td valign="middle" align="left">0.996</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="middle" align="left">1.27 (0.72 - 2.25)</td>
<td valign="middle" align="left">0.409</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor differentiation</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Medium to high</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Low</td>
<td valign="middle" align="left">0.79 (0.50 - 1.25)</td>
<td valign="middle" align="left">0.316</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Tumor site</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Upper</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Middle</td>
<td valign="middle" align="left">1.00 (0.63 - 1.59)</td>
<td valign="middle" align="left">0.993</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lower</td>
<td valign="middle" align="left">1.00 (0.61 - 1.64)</td>
<td valign="middle" align="left">0.989</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other</td>
<td valign="middle" align="left">0.87 (0.53 - 1.43)</td>
<td valign="middle" align="left">0.575</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">PD-L1 expression</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Negative</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Positive</td>
<td valign="middle" align="left">0.97 (0.51 - 1.86)</td>
<td valign="middle" align="left">0.935</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">1.34 (0.75 - 2.39)</td>
<td valign="middle" align="left">0.329</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">History of surgery</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">1.02 (0.57 - 1.81)</td>
<td valign="middle" align="left">0.955</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of metastases</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;1</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="left">1.75 (1.23 - 2.50)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">1.74 (1.22 - 2.49)</td>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Chemotherapy regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TP</td>
<td valign="middle" align="left">0.68 (0.45 - 1.02)</td>
<td valign="middle" align="left">0.060</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Endocrine irAEs</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.00 (Reference)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Endocrine irAEs</td>
<td valign="middle" align="left">0.46 (0.27 - 0.79)</td>
<td valign="middle" align="left">0.005</td>
<td valign="middle" align="left">0.55 (0.32 - 0.92)</td>
<td valign="middle" align="left">0.024</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IrAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; HR, hazard ratio; NLR, Neutrophil to Lymphocyte Ratio; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; PD-L1, programmed cell death ligand 1; OS, overall survival.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Effect of severity of irAEs on ICI outcomes</title>
<p>The number of adverse events for each severity grade is shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. We divided the patients into non-irAE, mild-irAE, and severe-irAE groups according to irAE severity, and subsequently analyzed their therapeutic efficacy and prognosis. The results showed that patients with mild irAEs tended to have better DCR, PFS, and OS than those without irAEs (DCR: 95.2% <italic>vs</italic>. 82.1%, <italic>p</italic> = 0.012; PFS: 17.50 months <italic>vs</italic>. 10.67 months; <italic>p</italic> &lt; 0.001; OS: 22.00 months <italic>vs</italic>. 15.27 months; <italic>p</italic> &lt; 0.001) (<xref ref-type="supplementary-material" rid="SF10"><bold>Supplementary Table S10</bold></xref>, <xref ref-type="supplementary-material" rid="SF11"><bold>11</bold></xref>). Multivariate analysis revealed that mild-irAE was an independent protective factor for both PFS and OS(PFS: HR = 0.53; 95% CI: 0.36-0.78; <italic>p</italic> = 0.001; OS: HR = 0.54; 95% CI: 0.36-0.82; <italic>p</italic> = 0.004), whereas no such association was observed for severe irAEs (<italic>p</italic>&gt;0.05) (<xref ref-type="supplementary-material" rid="SF12"><bold>Supplementary Tables S12</bold></xref>, <xref ref-type="supplementary-material" rid="SF13"><bold>13</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Distribution of irAEs by severity grade.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1741482-g004.tif">
<alt-text content-type="machine-generated">A grid-style heatmap displays the severity of irAEs across 12 distinct clinical cases. The vertical axis lists 12 medical conditions, including thyroiditis, hepatitis, and myocarditis. The horizontal axis represents case numbers. The chart uses a color-coded scale to indicate severity: white squares represent no event, while colored squares range from pale pink (Grade 1) to bright red (Grade 4).</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The occurrence of irAEs appears to be a promising predictive biomarker for ICI efficacy across various cancer type (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Previous studies have demonstrated that in patients with advanced EC, the development of irAEs was associated with significantly improved outcomes (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B36">36</xref>). We performed a deeper analysis that found a more nuanced relationship, which reveals that uni-irAE served as an independent protective factor for both PFS and OS. Multi-irAEs were also independently associated with improved OS, though their benefit for PFS did not reach statistical significance possibly due to limited follow-up or sample size. Additionally, no significant difference in survival was observed between the uni-irAE and multi-irAEs groups. Overall, the occurrence of both uni-irAE and multi-irAEs predicted superior survival, consistent with findings in other malignancies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>The positive correlation between irAEs and treatment efficacy is thought to stem from shared immunological pathways. One such pathway is T cell cross-reactivity against shared antigens, supported by the discovery of identical T cell receptor (TCR) sequences in both tumors and irAE-affected tissues (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). Concurrently, cytokines play a significant role in both inducing irAEs and eliminating tumor cells. Patients with irAEs exhibit elevated levels of cytokines, such as Interferon-gamma (IFN-&#x3b3;) and Interleukin-7 (IL-7), which are associated with both autoimmune toxicity and a favorable therapeutic response (<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>). Furthermore, ICI-induced depletion of regulatory T cells (Tregs) can unleash autoreactive T cells, simultaneously causing irAEs and enhancing anti-tumor responses (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Finally, the composition of the gut microbiota is also known to shape both therapeutic efficacy and the likelihood of irAEs. Mechanistically, specific bacterial signatures can modulate systemic immunity and lower the T-cell activation threshold, thereby enhancing anti-tumor responses while simultaneously increasing susceptibility to autoimmune toxicity (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B58">58</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>). The prognostic value of multi-irAEs varies significantly across cancer types, being superior in gastric, small cell lung cancer, and renal cell carcinoma, but not in non-small cell lung cancer (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). In our ESCC cohort, multi-irAEs were associated with the longest OS but an intermediate PFS, which was shorter than that of the uni-irAE group but longer than that of the non-irAE group. The development of multi-irAEs suggests a more robust systemic immune response or a profoundly altered tumor microenvironment that better facilitates immunotherapy (<xref ref-type="bibr" rid="B64">64</xref>).This heightened immune reactivity is believed to be the biological basis for the &#x201c;tail effect,&#x201d; which enables long-term survival even after initial progression (<xref ref-type="bibr" rid="B65">65</xref>). Conversely, the intermediate PFS may be attributable to the heterogeneity of tumor types or the limited sample size. Therefore, further prospective trials and immunological studies are warranted to delineate these complex relationships.</p>
<p>Our deeper analysis of irAEs revealed that co-occurrence patterns and severity are key prognostic factors, shifting the focus from a binary view to a more nuanced understanding.</p>
<p>The most frequent co-occurrences were thyroid-adrenal and thyroid-myocarditis pairs, and the time to onset for any irAE was similar between uni-irAE and multi-irAEs groups, indicating that the development of multiple irAEs is not time-dependent. While endocrine irAEs predicted the development of multi-irAEs, they were also associated with superior survival outcomes. Regarding the clinical timing of these prognostic markers, in some cases, such as skin irAE, it can serve as a clinical response marker earlier than the first imaging evaluation because its average time of onset (1.9 months) precedes the first imaging assessment. In other cases, such as hepatic (3.68 months), endocrine (4.17 months), and pulmonary toxicity (4.92 months), their average time of occurrence is indeed later than the first imaging evaluation. However, traditional imaging evaluation can no longer fully and accurately reflect the true efficacy of immunotherapy, particularly in tumors where cancer cell reduction and corresponding lymphocyte infiltration occur without changes in tumor volume. Therefore, even irAEs that occur later than imaging evaluation still possess auxiliary predictive functions.</p>
<p>The underlying mechanisms for irAE co-occurrence and the positive prognostic impact of endocrine irAEs remain unclear, but several mechanisms have been proposed. One proposed mechanism for multi-organ co-occurrence is a systemic, uncontrolled immune response, such as a cytokine storm, which can cause simultaneous damage across different systems (<xref ref-type="bibr" rid="B66">66</xref>&#x2013;<xref ref-type="bibr" rid="B68">68</xref>). B cell activation may be another mechanism, as it elevates autoantibodies that can deposit in specific organs and trigger inflammation. For example, patients with hepatic irAEs showed increased levels of anti-thyroglobulin Immunoglobulin G (IgG), a B cell-derived antibody that can precipitate thyroid irAEs (<xref ref-type="bibr" rid="B19">19</xref>). The survival advantage of endocrine irAEs may stems from two key factors. First, given that endocrine tissues are known to exhibit intense lymphocyte and cytokine infiltration, they become a primary target in this systemic assault, leading to the onset of endocrine irAEs (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>). Second, their typically low-grade nature allows for management with gentle therapies, avoiding high-dose corticosteroids that would suppress the beneficial immune activity. A small sample size may explain the inconclusive findings for hepatic, pulmonary, and gastrointestinal irAEs.</p>
<p>Analysis of irAE severity revealed that mild irAEs were associated with superior DCR, PFS, and OS compared to non-irAE in ESCC patients, which corroborated early findings in lung cancer and renal cell carcinoma (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B71">71</xref>&#x2013;<xref ref-type="bibr" rid="B73">73</xref>). The prognosis of severe irAEs, however, is controversial; while some studies link them to the worst outcomes, others show no difference from non-irAE (<xref ref-type="bibr" rid="B74">74</xref>). In our cohort, severe irAEs showed a trend toward reduced OS when compared to mild irAEs, but they displayed the extension of OS than that of non-irAE. The inferior prognosis of severe irAEs compared to mild irAEs may be attributed to two primary factors. First, ICI treatment is often discontinued following the onset of severe irAEs, potentially limiting the cumulative benefits of continued therapy (<xref ref-type="bibr" rid="B75">75</xref>). Second, the high-dose corticosteroids required to manage severe irAEs may compromise the efficacy of immunotherapy (<xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B83">83</xref>). Then, the favorable prognosis of patients with severe irAEs comparing to the non-irAE group may be explained by the following mechanisms. First, the onset of any irAE can serve as a biomarker for a robust therapeutic response, as discussed previously. This enhanced immunity is thought to drive the &#x201c;tail effect,&#x201d; a phenomenon where the immune system continues to exert an anti-tumor effect even after treatment cessation (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B84">84</xref>). Second, close clinical monitoring and prompt intervention for irAEs can prevent severe events from becoming life-threatening, thereby improving overall outcomes. Future studies with larger sample sizes are warranted to validate these findings.</p>
<p>The impact of glucocorticoids (GCs) on the efficacy of immunotherapy remains a subject of debate, potentially influenced by complex interplays between dosage, treatment duration, and administration timing. In this study, after excluding non-immunosuppressive doses (such as antiemetic dexamethasone or replacement hydrocortisone), the duration of GC treatment ranged from 7 to 73 days in 17 irAE patients. ROC analysis (AUC = 0.65) identified the GC treatment time longer than 54.5-day associated with shorter Median OS (8.65 <italic>vs</italic>. 28.17 months, <italic>p</italic> = 0.006) in these ESCC patients. The Median PFS also reflected a trend of harm associated with prolonged steroid use, although statistically non-significant (7.98 <italic>vs</italic>. 11.08 months, <italic>p</italic> = 0.115) (data not shown).</p>
<p>Currently, research on the prognostic impact of GCs primarily focuses on administration timing and dosage. Regarding timing, baseline use of high-dose GCs is often associated with poorer outcomes, likely reflecting baseline characteristics such as high tumor burden or poor performance status (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). In contrast, therapeutic intervention during the induction phase, typically the first 4 to 8 weeks, remains a subject of debate. Some studies suggest that early immunosuppression may impair long-term efficacy by interfering with T-cell clonal expansion and priming, potentially abrogating the initial anti-tumor immune response (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Conversely, other evidence indicates that patients requiring corticosteroids for early-onset irAEs still exhibit superior survival outcomes compared to those steroid na&#xef;ve group (<xref ref-type="bibr" rid="B88">88</xref>).Subsequent large-scale inquiries and meta-analyses are still needed. Furthermore, the duration of the tapering period is critical; rapid tapering of less than 4&#x2013;6 weeks can easily trigger irAE rebound, leading to cumulative harm from secondary high-dose exposure (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B89">89</xref>). In our analysis, 54.5 days (approximately 8 weeks) emerged as a critical threshold for treatment duration. Finally, concerning dosage, evidence suggests that the peak dose is more immunologically disruptive than the cumulative dose, as ultra-high concentrations can induce lymphocyte apoptosis, leading to poorer outcomes (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>). Therefore, in clinical practice, clinicians should aim to balance effective toxicity control with antitumor efficacy. We propose managing the intervention timing and tapering schedule to keep the total duration ideally within this 54.5-day window, while also carefully considering peak dosage to minimize immunological disruption.</p>
<p>This study has several limitations. First, its retrospective, single-center design and relatively small sample size limit our ability to account for confounding variables and increase the risk of selection bias. Second, variations in patient treatment regimens could have influenced the final outcomes. Third, the short follow-up period for some patients and the presence of censored data may have led to an incomplete assessment of median survival times. Considering these limitations, future follow-up studies, multi-center collaborations and prospective trials are warranted to enhance the reliability and validity of these findings.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The occurrence of both uni-irAE and multi-irAEs was associated with favorable prognosis in ESCC patients treated with ICIs. Furthermore, patients who developed endocrine irAEs or mild irAEs also demonstrated improved efficacy, suggesting their potential as clinical response markers for a positive response to therapy. This finding emphasizes the necessity of vigilant monitoring and early intervention for irAEs in patients undergoing ICIs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because The datasets generated during this study are not publicly available due to ethical restrictions and patient privacy concerns. However, the data can be made available from the corresponding author upon reasonable request, subject to approval by the institutional ethics committee. Requests to access the datasets should be directed to TZ, <email xlink:href="mailto:thzhang8116@aliyun.com.">thzhang8116@aliyun.com.</email></p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The Ethics Committee of the Fourth Hospital of Hebei Medical University. 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 Informed consent was waived due to the retrospective design of the study.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>TZ: Formal analysis, Writing &#x2013; original draft. XC: Visualization, Writing &#x2013; original draft. JW: Data curation, Conceptualization, Investigation, Writing &#x2013; original draft. JL: Validation, Writing &#x2013; review &amp; editing. ZQ: Data curation, Investigation, Writing &#x2013; review &amp; editing. RC: Data curation, Software, Writing &#x2013; review &amp; editing. WG: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. ZG: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. HF: Conceptualization, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful to all the patients and their families for their participation in this study. We also thank the staff of the Fourth Hospital of Hebei Medical University for their valuable assistance and support.</p>
</ack>
<sec id="s10" 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="s11" 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="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.2026.1741482/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1741482/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;1</label>
<caption>
<p>Treatment regimen of patients in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;2</label>
<caption>
<p>Comparison of irAE Incidence Among Different Types of ICIs.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;3</label>
<caption>
<p>Median PFS and OS of non-irAE, uni-irAE, and multi-irAEs groups in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;4</label>
<caption>
<p>The irAE cases number of uni-irAE and multi-irAEs groups in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;5</label>
<caption>
<p>Univariate logistic regression analysis of the relationship between each organ-specific irAE and multi-irAEs.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;6</label>
<caption>
<p>Response rate analysis of each organ-specific irAE vs. other patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF7" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;7</label>
<caption>
<p>Median PFS and OS of each organ-specific group vs. other patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF8" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;8</label>
<caption>
<p>Univariate Cox analysis of organ-specific irAEs and PFS in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF9" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;9</label>
<caption>
<p>Univariate Cox analysis of organ-specific irAEs and OS in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF10" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;10</label>
<caption>
<p>Response to ICI of irAEs, non-irAE, mild-irAE, and severe-irAE groups in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF11" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;11</label>
<caption>
<p>Median PFS and OS of non-irAE, mild-irAE, and severe-irAE groups in ESCC patients.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF12" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;12</label>
<caption>
<p>Univariate and Multivariate Cox Proportional Hazards Analysis of PFS by irAE severity.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF13" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;13</label>
<caption>
<p>Univariate and Multivariate Cox Proportional Hazards Analysis of OS by irAE severity.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="DataSheet1.docx" id="SF14" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p><bold>(A-J)</bold> The Kaplan-Meier curve of progression-free survival (PFS) and overall survival (OS) of each specific irAE with a case number of more than 10 patients in ESCC patients. <bold>(A)</bold> PFS of endocrine irAE patients. <bold>(B)</bold> OS of endocrine irAE patients. <bold>(C)</bold> PFS of dermatologic irAE patients. <bold>(D)</bold> OS of dermatologic irAE patients. <bold>(E)</bold> PFS of hepatic irAE patients. <bold>(F)</bold> OS of hepatic irAE patients. <bold>(G)</bold> PFS of pulmonary irAE patients. <bold>(H)</bold> OS of pulmonary irAE patients.</p>
</caption></supplementary-material></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/921798">Jeffrey J. Pu</ext-link>, Tufts University, United States</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1590846">Jindong Xie</ext-link>, Sun Yat-sen University Cancer Center (SYSUCC), China</p></fn>
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<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>irAEs, immune-related adverse events; ESCC, esophageal squamous cell carcinoma; EC, esophageal cancer; uni-irAE, single-organ irAE; multi-irAEs, multi-organ irAEs; NCCN, National Comprehensive Cancer Network; ASCO, American Society of Clinical Oncology; NLR, neutrophil-to-lymphocyte ratio; CTCAE, Common Terminology Criteria for Adverse Events; DCR, disease control rate; PFS, progression-free survival; OS, overall survival; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; ICIs, immune checkpoint inhibitors; SCLC, small cell pulmonary cancer; ECOG, Eastern Cooperative Oncology Group; TNM, tumor-node-metastasis; MMR, microsatellite mismatch repair; CT, computed tomography; MRI, magnetic resonance imaging; RECIST, Response Evaluation Criteria in Solid Tumors; CR, complete response; PR, partial response; PD, progressive disease; SD, stable disease; CI, confidence interval; HR, hazard ratio; OR, odds ratio; TCR, T cell receptor; Tregs, regulatory T cells; IFN-&#x3b3;, Interferon-gamma; IL-7, Interleukin-7; IgG, Immunoglobulin G; GCs, glucocorticoids.</p>
</fn>
</fn-group>
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