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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1495722</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Expression of immune checkpoints (IDO and PD-L1) in oral tongue cancer patients: a 10-year retrospective cohort study in Pakistan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fatima</surname>
<given-names>Merium</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Bashir</surname>
<given-names>Shaarif</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Raza</surname>
<given-names>Syed Atif</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Alamgeer</surname>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Hassan</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Abu Bakar</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Sheikh</surname>
<given-names>Ali Zafar</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tahseen</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Sheikh</surname>
<given-names>Umer Nisar</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Loya</surname>
<given-names>Asif</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Faisal</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Farooq</surname>
<given-names>Asim</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asghar</surname>
<given-names>Kashif</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Punjab University College of Pharmacy, University of The Punjab</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Cancer Registry and Clinical Data Management, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Radiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Surgical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Raffaele Addeo, ASL Napoli 2 Nord Oncologia, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mojgan Alaeddini, Tehran University of Medical Sciences, Iran</p>
<p>Maria Fiammetta Romano, University of Naples Federico II, Italy</p>
<p>Mario Pirozzi, University of Campania Luigi Vanvitelli, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Kashif Asghar, <email xlink:href="mailto:drkashifasghar@gmail.com">drkashifasghar@gmail.com</email>; Alamgeer, <email xlink:href="mailto:alamgeer.pharmacy@pu.edu.pk">alamgeer.pharmacy@pu.edu.pk</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1495722</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Fatima, Bashir, Raza, Alamgeer, Hassan, Abu Bakar, Sheikh, Tahseen, Sheikh, Loya, Faisal, Farooq and Asghar.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Fatima, Bashir, Raza, Alamgeer, Hassan, Abu Bakar, Sheikh, Tahseen, Sheikh, Loya, Faisal, Farooq and Asghar</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Tongue squamous cell carcinoma (TSCC) is a significant global health issue with high incidence and mortality rates. Current treatments involve surgery, radiotherapy, and chemotherapy; however, prognosis remains poor. Recent research highlights the crucial role of the tumor microenvironment, especially immune cells and checkpoints like PD-L1 and IDO, in TSCC progression.</p>
</sec>
<sec>
<title>Aim</title>
<p>This study aims to investigate the expression of IDO and PD-L1 in TSCC patients before and after chemotherapy and their association with patients&#x2019; clinicopathological characteristics.</p>
</sec>
<sec>
<title>Materials and Methods</title>
<p>This study involved 106 TSCC patients from Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&amp;RC) in Pakistan, with biopsies obtained from 2012 to 2022. Immunohistochemical analysis was performed on formalin-fixed, paraffin-embedded (FFPE) tumor samples to evaluate IDO and PD-L1 expression before and after chemotherapy. Data on patient demographics, tumor characteristics, and treatment were collected, and follow-up continued until January 2024.</p>
</sec>
<sec>
<title>Results</title>
<p>The cohort had a mean age of 48.9 years, with a predominance of male patients. Prior to chemotherapy, 83% of patients were IDO-negative, and 75.5% were PD-L1-negative. Post-chemotherapy, IDO expression increased to 24.5% of patients (n = 26), with 84.6% exhibiting low expression and 15.4% showing high expression. While PD-L1 expression was increased to 29.2% (n = 31), with 90.3% of the positive cases showing low expression and 9.7% high expression. IDO expression was notably higher in multifocal tumors and correlated with increased comorbidities post-chemotherapy. Despite changes in marker expression, there was no significant difference in survival rates associated with IDO or PD-L1 expression.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Chemotherapy appears to upregulate IDO and PD-L1 expressions in TSCC, highlighting the potential for integrating immunotherapy into treatment regimens. Further studies are needed to explore the dynamics of these biomarkers over time and their impact on patient outcomes, emphasizing the need for comprehensive therapeutic strategies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tongue squamous cell carcinoma</kwd>
<kwd>IDO</kwd>
<kwd>PD-L1</kwd>
<kwd>chemotherapy</kwd>
<kwd>immunohistochemistry</kwd>
<kwd>biomarkers</kwd>
<kwd>immunotherapy</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="74"/>
<page-count count="16"/>
<word-count count="5594"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Head and Neck Cancer</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Oral cancer is one of the most prevalent malignancies of the head and neck region, posing significant challenges to patient well-being and healthcare systems (<xref ref-type="bibr" rid="B1">1</xref>). The recent data from the Globocan 2022 report reveals the extensive impact of oral cancer, with a global incidence reaching 389,846 cases and a mortality toll of 188,438 (<xref ref-type="bibr" rid="B2">2</xref>). Specifically in Pakistan, oral cancer holds the position of the second most prevalent tumor, contributing to a substantial burden with 15,915 reported cases and 10,181 associated deaths (<xref ref-type="bibr" rid="B3">3</xref>). Among head and neck cancer cases, oral cancer holds the leading position with a continuing rise in its incidence (<xref ref-type="bibr" rid="B1">1</xref>). Oral cancer is characterized by its highly malignant nature, marked by elevated rates of local recurrence and cervical lymph node metastasis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). The reported 5-year survival rate for oral cancer is approximately 50% (<xref ref-type="bibr" rid="B6">6</xref>). Currently, the preferred treatment for tongue cancer involves a combination of surgery, postoperative radiotherapy, and chemotherapy (<xref ref-type="bibr" rid="B7">7</xref>). However, the prognosis for oral cancer remains grim due to short-term recurrence and inadequate therapeutic efficacy, significantly impacting the quality of life for affected patients (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Increasing evidence highlights the pivotal role played by the interaction between tongue cancer cells and the surrounding microenvironment in the development and prognosis of tongue cancer (<xref ref-type="bibr" rid="B9">9</xref>). Predominantly, TSCC stands out for its marked infiltration of immune cells, characterizing it as an immunogenic tumor (<xref ref-type="bibr" rid="B10">10</xref>). Among the prevalent stromal components in tongue cancer, the infiltrated immune cells emerge as key contributors to the carcinogenic process (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>The concept of cancer immunoediting is widely accepted, and tumor immune escape is considered an emerging hallmark of cancer (<xref ref-type="bibr" rid="B10">10</xref>). Cancer immunotherapy utilizing immune-checkpoint inhibitors has emerged as a highly effective therapeutic modality for various cancers, including tongue cancer (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). In several malignancies, programmed death ligand-1 (PD-L1) checkpoint blockades have shown substantial clinical efficacy (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Recent evidence has pointed out that the expression of PD-1 and PD-L1 were considerably associated with local recurrence in patients with TSCC (<xref ref-type="bibr" rid="B13">13</xref>). Overexpression of PD-L1 on tumor cells inhibits the activation of T cells, leading to the progression of tumors (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). PD-L1 overexpression in TSCC correlates with advanced stage and shorter disease-free survival (<xref ref-type="bibr" rid="B21">21</xref>). Several ongoing clinical trials have demonstrated efficacy against recurrent/metastatic head and neck squamous cell carcinoma (HNSCC), leading to clinical approval in multiple countries following successful phase III trials (<xref ref-type="bibr" rid="B22">22</xref>). Thus, the focus on immune checkpoints represents a new area of investigation for novel cancer therapies (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). Another such prospective target in this realm is indoleamine 2,3-dioxygenase (IDO), a checkpoint protein influencing an immunosuppressive tumor microenvironment (<xref ref-type="bibr" rid="B26">26</xref>). IDO, a heme-containing enzyme, metabolizes L-tryptophan into kynurenine (<xref ref-type="bibr" rid="B27">27</xref>). The localized depletion of tryptophan hinders T-cell cytotoxicity, thereby inhibiting T-cell immune responses through the induction of regulatory T-cell differentiation (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). IDO expression has been reported in many cancers, including breast, colorectal, ovarian, gastric, and oral cancer (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). It is also associated with cancer poor prognosis in oral squamous cell carcinoma patients (<xref ref-type="bibr" rid="B33">33</xref>). The significance of IDO expression is underscored by its ability to predict tumor responsiveness to anti-IDO immunotherapy. Similarly, high PD-L1 expression is associated with an unfavorable prognosis in diverse tumors. Thus, evaluating the levels of IDO and PD-L1 expressions may offer insights into identifying patients who could potentially benefit from anti-IDO/anti-PD-L1 therapy or combination therapies. In this study&#x2019;s context, we performed an immunohistochemical analysis to investigate the expressions of IDO and PD-L1 in individuals with TSCC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Patients and data</title>
<p>We conducted a retrospective cross-sectional analysis involving tongue cancer patients who were registered at Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&amp;RC) in Pakistan. The study cohort comprised (106) patients diagnosed with tongue cancer between 2012 and 2022. Biopsy samples were collected from all patients before chemotherapy at the time of their initial diagnosis. Following neoadjuvant chemotherapy, all patients underwent surgical resection, during which post-treatment tissue samples were obtained for comparative expression analysis. Following surgery, all patients received radiotherapy, with some also receiving concurrent chemoradiotherapy (CRT); however, they developed metastases at a later stage. Since the primary objective was to evaluate the effect of chemotherapy, biomarker expression was analyzed only before and after chemotherapy. The impact of radiotherapy on expression levels was not assessed. These patients also underwent surgery following chemotherapy, but they developed metastases at a later stage.</p>
<p>Moreover, all patients received cisplatin plus gemcitabine (GC) as neoadjuvant chemotherapy. The use of GC was based on prior experience at SKMCH&amp;RC, Lahore, Pakistan. A previous study from our institution demonstrated that GC was well tolerated, had low toxicity, and showed significant antitumor activity in locally advanced head and neck cancer (HANC) (<xref ref-type="bibr" rid="B35">35</xref>). Building on these positive results and ongoing clinical success, GC has been adopted as the institutional neoadjuvant regimen for selected cases of advanced HANC.</p>
<p>Biopsies stored in formalin-fixed, paraffin-embedded (FFPE) blocks were obtained from the pathology department at SKMCH&amp;RC. Extensive patient data, including demographics, pathological and radiological characteristics, as well as treatment specifics, were retrieved from SKMCH&amp;RC&#x2019;s electronic medical records system. Patient follow-up for survival analysis was extended until Jan 2024. The study received approval from the institutional review board (IRB) of SKMCH&amp;RC (EX-05-12-22-02), with the IRB granting a waiver of informed consent due to the minimal risk posed to patients&#x2019; rights, safety, and well-being, given that the data and FFPE samples originated from archived records.</p>
</sec>
<sec id="s2_2">
<title>PD-L1 and IDO Expression analysis by immunohistochemistry</title>
<p>Two sections of FFPE tumor specimens of the same patients were cut at a thickness of 4 &#xb5;m. IDO staining was performed using an anti-Indoleamine 2, 3-dioxygenase antibody (Cat # 86630S IDO (D5J4E&#x2122;) Rabbit mAb); heat-mediated epitope retrieval with a Tris-EDTA buffer was performed. The immunoreactivity was detected by using the Dako EnVision kit (K8002). Normal human reactive lymph nodes served as a positive control. PD-L1 immunoreactivity was assessed by an immunohistochemical assay for FFPE tumor specimens. Slides were stained using an autostainer Link 48 (Dako Denmark) as per the manufacturer&#x2019;s protocol. Slides were deparaffinized and antigen was retrieved simultaneously with the target retrieval low pH solution (#GV8005 Dako). PD-L1 antibody (22C3) and an automated staining procedure developed by DAKO. PD-L1 labeling was visualized using the Envision Flex detection kit DAKO (K8002). Normal human tonsils served as a positive control. Slides were visualized by an optical microscope (Provis AX-70, Olympus, Melville, NY).</p>
</sec>
<sec id="s2_3">
<title>Scoring</title>
<p>Pathologists assessed all the results. They performed a blind histopathologic evaluation. The discrepancies between the pathologists were examined mutually to reach a consensus and the mean score of both was considered a decisive score. The total IDO immunostaining scores were calculated as described earlier (<xref ref-type="bibr" rid="B36">36</xref>). The intensity was scored for IDO as negative (0), weak (1), moderate (2), or strong (3). The percentage of positive tumor cells was classified into four categories: diffuse (3+, 50&#x2013;75%), focal (2+, 25&#x2013;50%), sporadic (1+, 5&#x2013;25%), and negative (0, 0%). The immunohistochemical expression of PD-L1 was calculated as described earlier (<xref ref-type="bibr" rid="B37">37</xref>). PD-L1 staining intensity was assessed as strong (3), moderate (2), weak (1), or negative (0). The percentage of tumor cells with positive staining was categorized according to the following formula: PD-L1 expression score (H score) (range, 0&#x2013;9)=0&#xd7;% of non-stained tumor cells +1&#xd7;% of weakly stained tumor cells +2&#xd7;% of moderately stained tumor cells +3&#xd7;% of strongly stained tumor cells.</p>
<p>Currently CPS scoring is the standard practice in PD-L1 interpretation of Oral SCCs (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). The CPS scoring system was used to ensure uniformity and comparability with scoring system used for IDO IHC. The CPS score was used as a cut off for positive results and then as an additional step, the intensity of stain and overall percentage of positive cells were also considered (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). This approach was followed to harmonize our IDO results, as both intensity and percentage evaluation for IDO and PD-L1 were applied.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>Statistical analysis was performed by using SPSS software (version 20.0; SPSS, Chicago, IL, USA). Frequency and percentage were used for categorical variables while the median and range (min-max) were used for continuous variables. Bivariate analysis was done using chi-square or Fisher exact test (where necessary). For continuous explanatory variables such as age, the independent t-test was performed. In addition, McNemar&#x2019;s test was performed to bifurcate the categorical pre and post data. Survival curves were generated using the Kaplan&#x2013;Meier tool to estimate the probability of survival over time. Statistical significance was defined as a two-tailed P-value of 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient demographics</title>
<p>The study included 106 participants with a mean age of 48.9 years (SD = 11.9) and a median age of 50.5 years, ranging from 20 to 78 years. Among the participants, 67.0% were male (n = 71) and 33.0% were female (n = 35). The demographic data reveals a predominantly middle-aged male cohort with a mean BMI (26.1 &#xb1; 4.5) in the overweight range. Most participants had no family history of disease or history of substance use. Most participants did not have comorbidities, but among those who did, hypertension was the most common condition (52.4%). Among 106 patients, 9.4% of tumors were poorly differentiated, 59.4% were moderately differentiated, and 31.1% were well differentiated as shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The majority of tumors in this cohort were moderately differentiated and primarily unifocal with uninvolved margins. The tumors exhibited a wide range in size and depth of invasion, with a notable proportion at advanced T stages. Despite extensive lymph node extraction, positive nodes were relatively few on average, although extra nodal extension, perineural invasion were significant concerns.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Descriptive statistics of demographic and clinicopathological characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Characteristics</th>
<th valign="top" align="center">Total N = 106 (100.0%)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="3" align="left">Age</th>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">48.9 &#xb1; 11.9</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">50.5 (20&#x2013;78)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">71 (67.0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">35 (33.0)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Body mass index (kg/m2)</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">26.1 &#xb1; 4.5</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">25.3 (16.5-36.9)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Family History</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">92 (86.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">14 (13.2)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">History of Pan/Niswar</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">74 (69.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">32 (30.2)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">History of tobacco use</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">71 (67.0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">32 (30.2)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Comorbidities</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">85 (80.2)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">21 (19.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2022; DM</td>
<td valign="top" align="center">4 (19.0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2022; HTN</td>
<td valign="top" align="center">11 (52.4)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2022; DM + HTN</td>
<td valign="top" align="center">5 (23.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2022; DM + Hepatitis C</td>
<td valign="top" align="center">1 (4.8)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Differentiation</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Poorly differentiated</td>
<td valign="top" align="center">10 (9.4)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Moderately differentiated</td>
<td valign="top" align="center">63 (59.4)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Well differentiated</td>
<td valign="top" align="center">33 (31.1)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Tumor site</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Left</td>
<td valign="top" align="center">56 (52.8)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Right</td>
<td valign="top" align="center">50 (47.2)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Focality</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">104 (98.1)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Bifocal</td>
<td valign="top" align="center">1 (0.9)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Multifocal</td>
<td valign="top" align="center">1 (0.9)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Margin status</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Uninvolved</td>
<td valign="top" align="center">103 (97.2)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Involved</td>
<td valign="top" align="center">3 (2.8)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Tumor size (mm)</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">21.8 &#xb1; 11.3</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">20.0 (2&#x2013;65)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">DOI (mm)</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">8.8 &#xb1; 4.7</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">9.0 (1&#x2013;21)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">T &amp; N Staging (Pre-CT)</th>
</tr>
<tr>
<th valign="top" colspan="3" align="left">T Stage</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0 (0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0 (0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">10 (9.43)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">72 (67.92)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">24 (22.64)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">N Stage</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">64 (60.37)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">29 (27.35)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">12 (11.32)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1 (0.94)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0 (0)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">T &amp; N Staging (Post-CT)</th>
</tr>
<tr>
<th valign="top" colspan="3" align="left">T stage</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (0.9)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">25 (23.6)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">45 (42.5)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">32 (30.2)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3 (2.8)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">N stage</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">48 (45.3)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">17 (16.0)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">29 (27.4)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">12 (11.3)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0 (0)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Total lymph node extracted</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">62.5 &#xb1; 30.4</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">59.5 (0&#x2013;174)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">No. of positive lymph node</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">1.9 &#xb1; 3.2</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Median (min-max)</td>
<td valign="top" align="center">1.0 (0&#x2013;16)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Extra nodal extension</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">90 (84.9)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">16 (15.1)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Perineural invasion</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">87 (82.1)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">19 (17.9)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Lymph vascular invasion</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">101 (95.3)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">5 (4.7)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Recurrence</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">66 (62.3)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">40 (37.7)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Metastasis</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">93 (87.7)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">13 (12.3)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Status</th>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Alive</td>
<td valign="top" align="center">23 (21.7)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Death</td>
<td valign="top" align="center">63 (59.4)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">Unknown</td>
<td valign="top" align="center">20 (18.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DM, Diabetes mellitus; HTN, hypertension; CT, Chemotherapy; DOI, Depth of invasion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Immunohistochemical staining</title>
<p>The study assessed the expression of IDO and PD-L1 in 106 patients before and after chemotherapy. Prior to chemotherapy, IDO was negative in 83% of patients (n = 88) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) and positive in 17% (n = 18) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Of the positive cases, 81.3% had low expression, while 16.7% had high expression. Post-chemotherapy, IDO expression increased to 24.5% of patients (n = 26), with 84.6% exhibiting low expression and 15.4% showing high expression (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). Among those who were initially IDO positive, 38.9% (n = 7) became IDO negative (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>), and 61.1% (n = 11) remained positive. For PD-L1, prior to chemotherapy, 75.5% of patients (n = 80) were negative (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) and 24.5% (n = 26) were positive (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Among the positive cases, 88.5% had low expression and 11.5% had high expression. After chemotherapy, the PD-L1 expression increased to 29.2% (n = 31), with 90.3% of the positive cases showing low expression and 9.7% high expression (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Our dataset shows that IDO and PD-L1 expressions increased after chemotherapy, suggesting that chemotherapy may&#xa0;upregulate these markers. The negative expression of both markers remain predominant (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, E</bold>
</xref>) though there is a slight&#xa0;increase in high expression cases post-chemotherapy (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;C, F</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Expression of IDO before and after chemotherapy in the same patient, detected by immunohistochemical staining. Representative images of immunohistochemical staining for IDO in TSCC cases. <bold>(A, B)</bold> Positive IDO expression in tumor cells pre-chemotherapy; negative IDO expression post-chemotherapy. <bold>(C, D)</bold> Negative IDO expression pre-chemotherapy; positive IDO expression post-chemotherapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1495722-g001.tif">
<alt-text content-type="machine-generated">Panel of four microscopic images labeled A to D. A shows brown-stained cells in a scattered pattern. B and C display sparse, pale blue cells with minimal staining. D features densely clustered brown-stained cells on the right side, contrasting with lighter cells on the left.</alt-text>
</graphic>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Expression of PD-L1 before and after chemotherapy in the same patient, detected by immunohistochemical staining. <bold>(A, B)</bold> Positive PD-L1 expression pre-chemotherapy; negative PD-L1 expression post-chemotherapy, <bold>(C, D)</bold> Negative PD-L1 expression pre-chemotherapy; positive PD-L1 expression post-chemotherapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1495722-g002.tif">
<alt-text content-type="machine-generated">Panel A shows a histological image with a dense network of brown-stained fibers. Panel B depicts a similar tissue section with predominantly blue-stained cells. Panel C reveals a lighter blue-stained tissue with fewer fibers. Panel D displays a mix of brown and blue staining, indicating more fiber presence.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Expression of IDO and PD-L1 in the same patient, detected by immunohistochemical staining. <bold>(A, B)</bold> IDO positive expression; PD-L1 positive expression. <bold>(C, D)</bold> IDO positive expression; PD-L1 negative expression, <bold>(E, F)</bold> IDO negative expression; PD-L1 positive expression. All images were captured at 40X magnification.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1495722-g003.tif">
<alt-text content-type="machine-generated">Histological images of tissue samples:  A) Dense staining of orange-brown globular formations. B) Light staining with sparse orange-brown formations. C) Intense staining with numerous dense formations. D) Minimal staining with predominantly blue cells. E) Light green background with sparse cells. F) Light green background with some patches of brown staining.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>Clinicopathological associations with IDO expression prior to chemotherapy</title>
<p>The study analyzed 106 patients to investigate the relationship between demographic and clinicopathological characteristics and IDO status before chemotherapy. A significant association was found between IDO positivity and PD-L1 positivity (p = 0.001), with 50% of IDO-positive patients also being PD-L1 positive. This indicates an immunosuppressive microenvironment in this subset of patients. No significant associations were observed between IDO status and factors such as age, sex, or tumor size. Additionally, we found that all multifocal tumors had positive IDO expression (p = 0.02), as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Demographic and clinicopathological characteristics versus IDO (before chemotherapy) negative and positive.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Characteristics</th>
<th valign="top" align="center">Negative 88 (83.0%)</th>
<th valign="top" align="center">Positive 18 (17.0%)</th>
<th valign="top" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">PD-L1 before chemotherapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">71 (80.7)</td>
<td valign="top" align="center">9 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">17 (19.3)</td>
<td valign="top" align="center">9 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">48.4 &#xb1; 12.1</td>
<td valign="top" align="center">51.2 &#xb1; 10.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">59 (67.0)</td>
<td valign="top" align="center">12 (66.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">29 (33.0)</td>
<td valign="top" align="center">6 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Body mass index (kg/m<sup>2</sup>)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">26.0 &#xb1; 4.4</td>
<td valign="top" align="center">26.5 &#xb1; 5.2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Family History</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">77 (87.5)</td>
<td valign="top" align="center">15 (83.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">11 (12.5)</td>
<td valign="top" align="center">3 (16.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">History of Pan/Niswar</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">60 (68.2)</td>
<td valign="top" align="center">14 (77.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">28 (31.8)</td>
<td valign="top" align="center">4 (22.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">History of tobacco use</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">60 (68.2)</td>
<td valign="top" align="center">11 (61.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">28 (31.8)</td>
<td valign="top" align="center">7 (38.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Comorbidities</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">69 (78.4)</td>
<td valign="top" align="center">16 (88.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">19 (21.6)</td>
<td valign="top" align="center">2 (11.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; HTN</td>
<td valign="top" align="center">10 (52.6)</td>
<td valign="top" align="center">1 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM + HTN</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center">1 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM + Hepatitis C</td>
<td valign="top" align="center">1 (5.3)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Poorly differentiated</td>
<td valign="top" align="center">8 (9.1)</td>
<td valign="top" align="center">2 (11.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Moderately differentiated</td>
<td valign="top" align="center">55 (62.5)</td>
<td valign="top" align="center">8 (44.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Well differentiated</td>
<td valign="top" align="center">25 (28.4)</td>
<td valign="top" align="center">8 (44.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumour site</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Left</td>
<td valign="top" align="center">44 (50.0)</td>
<td valign="top" align="center">12 (66.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Right</td>
<td valign="top" align="center">44 (50.0)</td>
<td valign="top" align="center">6 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Focality</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">88 (100.0)</td>
<td valign="top" align="center">16 (88.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Bifocal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (5.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Multifocal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (5.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Margin status</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Uninvolved</td>
<td valign="top" align="center">85 (96.6)</td>
<td valign="top" align="center">18 (100.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Involved</td>
<td valign="top" align="center">3 (3.4)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumour size (mm)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">21.5 &#xb1; 11.7</td>
<td valign="top" align="center">21.7 &#xb1; 10.2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">DOI (mm)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">8.7 &#xb1; 4.8</td>
<td valign="top" align="center">9.2 &#xb1; 3.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (1.1)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21 (23.9)</td>
<td valign="top" align="center">4 (22.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">40 (45.5)</td>
<td valign="top" align="center">5 (27.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">24 (27.3)</td>
<td valign="top" align="center">8 (44.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2 (2.3)</td>
<td valign="top" align="center">1 (5.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">N stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">42 (47.7)</td>
<td valign="top" align="center">6 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">13 (14.8)</td>
<td valign="top" align="center">4 (22.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">22 (25.0)</td>
<td valign="top" align="center">7 (38.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">11 (12.5)</td>
<td valign="top" align="center">1 (5.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Recurrence</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">54 (61.4)</td>
<td valign="top" align="center">12 (66.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">34 (38.6)</td>
<td valign="top" align="center">6 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">75 (85.2)</td>
<td valign="top" align="center">18 (100)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">13 (14.8)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total lymph node extracted</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">61.2 &#xb1; 27.0</td>
<td valign="top" align="center">68.7 &#xb1; 43.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No. of positive lymph node</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">2.0 &#xb1; 3.4</td>
<td valign="top" align="center">1.7 &#xb1; 2.2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extra nodal extension</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">76 (86.4)</td>
<td valign="top" align="center">14 (77.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">12 (13.6)</td>
<td valign="top" align="center">4 (22.2)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DM, Diabetes mellitus; HTN, hypertension; DOI, depth of invasion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Clinicopathological associations with IDO expression post chemotherapy</title>
<p>Post-chemotherapy, we observed a continued significant association between IDO positivity and PD-L1 status (p = 0.001). Additionally, IDO-positive patients had more comorbidities (p = 0.03). No significant differences were found for age, sex, BMI, family history, tobacco use, histology, tumor site, margin status, tumor size, depth of invasion, T stage, N stage, positive lymph nodes, and extranodal extension, as shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Demographic and clinicopathological characteristics versus IDO (after chemotherapy) negative and positive.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Characteristics</th>
<th valign="top" align="center">Negative 80 (75.5%)</th>
<th valign="top" align="center">Positive 26 (24.5%)</th>
<th valign="top" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">PD-L1 after chemotherapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">62 (77.5)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">18 (22.5)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">47.9 &#xb1; 11.7</td>
<td valign="top" align="center">51.9 &#xb1; 12.5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">56 (70.0)</td>
<td valign="top" align="center">15 (57.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">24 (30.0)</td>
<td valign="top" align="center">11 (42.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Body mass index (kg/m<sup>2</sup>)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">25.9 &#xb1; 4.4</td>
<td valign="top" align="center">26.5 &#xb1; 4.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Family History</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">69 (86.3)</td>
<td valign="top" align="center">23 (88.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">11 (13.8)</td>
<td valign="top" align="center">3 (11.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">History of Pan/Niswar</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">55 (68.8)</td>
<td valign="top" align="center">19 (73.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">25 (31.3)</td>
<td valign="top" align="center">7 (26.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">History of tobacco use</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">56 (70.0)</td>
<td valign="top" align="center">15 (57.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">24 (30.0)</td>
<td valign="top" align="center">11 (42.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Comorbidities</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">67 (83.8)</td>
<td valign="top" align="center">18 (69.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">13 (16.3)</td>
<td valign="top" align="center">8 (30.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM</td>
<td valign="top" align="center">4 (30.8)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; HTN</td>
<td valign="top" align="center">5 (38.5)</td>
<td valign="top" align="center">6 (75.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM + HTN</td>
<td valign="top" align="center">4 (30.8)</td>
<td valign="top" align="center">1 (12.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2022; DM + Hepatitis C</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (12.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Differentiation</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Poorly differentiated</td>
<td valign="top" align="center">7 (8.8)</td>
<td valign="top" align="center">3 (11.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Moderately differentiated</td>
<td valign="top" align="center">50 (62.5)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Well differentiated</td>
<td valign="top" align="center">23 (28.7)</td>
<td valign="top" align="center">10 (38.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumour site</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Left</td>
<td valign="top" align="center">43 (53.8)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Right</td>
<td valign="top" align="center">37 (46.3)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Focality</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">80 (100.0)</td>
<td valign="top" align="center">24 (92.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Bifocal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (3.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Multifocal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1 (3.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Margin status</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Uninvolved</td>
<td valign="top" align="center">77 (96.3)</td>
<td valign="top" align="center">26 (100.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Involved</td>
<td valign="top" align="center">3 (3.8)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumour size (mm)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">21.8 &#xb1; 11.9</td>
<td valign="top" align="center">20.6 &#xb1; 9.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">DOI (mm)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">8.7 &#xb1; 4.6</td>
<td valign="top" align="center">9.1 &#xb1; 4.8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (1.3)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">19 (23.8)</td>
<td valign="top" align="center">6 (23.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">32 (40.0)</td>
<td valign="top" align="center">13 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">26 (32.5)</td>
<td valign="top" align="center">6 (23.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2 (2.5)</td>
<td valign="top" align="center">1 (3.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">N stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">38 (47.5)</td>
<td valign="top" align="center">10 (38.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9 (11.3)</td>
<td valign="top" align="center">8 (30.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">23 (28.7)</td>
<td valign="top" align="center">6 (23.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">10 (12.5)</td>
<td valign="top" align="center">2 (7.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Recurrence</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">48 (60.0)</td>
<td valign="top" align="center">18 (69.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">32 (40.0)</td>
<td valign="top" align="center">8 (30.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">69 (86.3)</td>
<td valign="top" align="center">24 (92.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">11 (13.8)</td>
<td valign="top" align="center">2 (7.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total lymph node extracted</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">62.8 &#xb1; 28.1</td>
<td valign="top" align="center">61.4 &#xb1; 36.8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">No. of positive lymph node</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Mean &#xb1; SD</td>
<td valign="top" align="center">2.2 &#xb1; 3.6</td>
<td valign="top" align="center">1.2 &#xb1; 1.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extra nodal extension</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Absent</td>
<td valign="top" align="center">67 (83.8)</td>
<td valign="top" align="center">23 (88.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Present</td>
<td valign="top" align="center">13 (16.3)</td>
<td valign="top" align="center">3 (11.5)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DM, Diabetes mellitus; HTN, hypertension; DOI, depth of invasion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Impact of chemotherapy on IDO and PD-L1 expression</title>
<p>In our dataset, 18 patients were IDO positive prior to chemotherapy. After chemotherapy, 7 of these patients became IDO negative. Conversely, among the 88 patients who were initially IDO negative, 15 became IDO positive, resulting in a total of 26 IDO-positive patients&#x2019; post-chemotherapy. This change in IDO expression was statistically significant (p = 0.04) according to McNemar&#x2019;s test (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Chemotherapy significantly impacted IDO expression, with a notable proportion of initially IDO-positive patients maintaining their positive status post-treatment and some initially IDO-negative patients becoming positive.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Impact of chemotherapy on IDO expression before and after.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables</th>
<th valign="top" rowspan="2" align="center">Characteristics</th>
<th valign="top" colspan="2" align="center">IDO before chemotherapy</th>
<th valign="top" rowspan="2" align="center">p-value</th>
</tr>
<tr>
<th valign="top" align="center">Negative 88 (83.0%)</th>
<th valign="top" align="center">Positive 18 (17.0%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">IDO after chemotherapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.04*</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">73 (83.0)</td>
<td valign="top" align="center">7 (38.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">15 (17.0)</td>
<td valign="top" align="center">11 (61.1)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*McNemar&#x2019;s test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Similarly, in our dataset, 26 patients were PD-L1 positive prior to chemotherapy (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref> in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). After treatment, 14 of these patients became PD-L1 negative (<xref ref-type="fig" rid="f2">
<bold>Figure 2B</bold>
</xref>). Conversely, among the 80 patients who were initially PD-L1 negative, 19 became positive, resulting in a total of 31 PD-L1-positive patients&#x2019; post-chemotherapy (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref> in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). The change in PD-L1 expression approached statistical significance (p = 0.09) according to McNemar&#x2019;s test (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Chemotherapy demonstrated a trend towards altering PD-L1 expression, with some patients switching their PD-L1 status post-treatment. Although the change did not reach statistical significance, the trend may suggest that chemotherapy may influence PD-L1 expression, potentially impacting the tumor&#x2019;s immune evasion capabilities.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Impact of chemotherapy on PD-L1 expression before and after.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<td valign="top" rowspan="2" align="left">
<bold>Variables</bold>
</td>
<td valign="top" rowspan="2" align="center">
<bold>Characteristics</bold>
</td>
<td valign="top" colspan="2" align="center">
<bold>PD-L1 before chemotherapy</bold>
</td>
<td valign="top" rowspan="2" align="center">
<bold>p-value</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">
<bold>Negative</bold>
<break/>
<bold>80 (75.5%)</bold>
</td>
<td valign="top" align="center">
<bold>Positive</bold>
<break/>
<bold>26 (24.5%)</bold>
</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">PD-L1 after chemotherapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.09*</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">61 (76.3)</td>
<td valign="top" align="center">14 (53.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">19 (23.8)</td>
<td valign="top" align="center">12 (46.2)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*McNemar&#x2019;s test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>Survival analysis</title>
<p>In our study, 23 patients (21.7%) were alive at the time of last follow-up, while 63 patients (59.4%) had died while 20 (18.9) were unknown. The overall five-year survival rate was 49%, with a median survival time of 53 months, as depicted in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. We found no significant differences in survival associated with IDO and PD-L1 expression. Pre-chemotherapy, IDO-positive patients had a 68% five-year survival rate compared to 42% for IDO-negative patients (p = 0.18). Post-chemotherapy, these rates were 55% for IDO-positive and 43% for IDO-negative (p = 0.43). For PD-L1 expression, pre-chemotherapy survival was 51% for positive versus 44% for negative (p = 0.86), and post-chemotherapy, it was 45% for positive versus 47% for negative (p = 0.64).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Overall survival: The five-year disease-free survival rate was 49%, with a median duration of 53 months.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1495722-g004.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve showing overall survival proportion over time in months. The curve starts near one hundred percent and declines to near zero percent over one hundred twenty months.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>TSCC is one of the most prevalent malignancies of the head and neck region, constituting a significant global health concern with a survival rate of about 50% (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>). Traditionally managed with surgery and radiotherapy or chemoradiotherapy, recent research has focused on immunotherapy to improve outcomes (<xref ref-type="bibr" rid="B47">47</xref>). The response rate to PD-1 and PD-L1 antibody treatment remains limited, with only about 20% of patients showing favorable outcomes in most solid tumors (<xref ref-type="bibr" rid="B48">48</xref>). PD-L1 is a transmembrane glycoprotein structurally characterized by extracellular IgV- and IgC-like domains (<xref ref-type="bibr" rid="B49">49</xref>). Under physiological conditions, PD-L1 is expressed by various immune cells, including macrophages, activated T and B lymphocytes, dendritic cells, and certain epithelial cells, particularly in response to pro-inflammatory signals (<xref ref-type="bibr" rid="B50">50</xref>). Within the tumor microenvironment, PD-L1 is frequently overexpressed on malignant cells as an adaptive mechanism to suppress cytotoxic T-cell activity and facilitate immune escape (<xref ref-type="bibr" rid="B51">51</xref>). This upregulation is often observed in immune-infiltrated tumors characterized by a high density of CD8+ T cells, Th1 cytokines, interferons, and distinct immunomodulatory gene signatures (<xref ref-type="bibr" rid="B52">52</xref>). Multiple oncogenic and inflammatory pathways regulate PD-L1 expression in digestive system cancers including the EGFR/ERK signaling axis in esophageal squamous cell carcinoma (<xref ref-type="bibr" rid="B53">53</xref>), the JAK/STAT pathway in gastric cancer (<xref ref-type="bibr" rid="B54">54</xref>), and the ERK/MAPK pathway in hepatocellular carcinoma (<xref ref-type="bibr" rid="B55">55</xref>). In addition, the IFN-&#x3b3;&#x2013;driven activation of the JAK/STAT pathway has been shown to mediate PD-L1 induction in myeloid leukemia as well as pancreatic and gastric cancers (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>Similarly, another potential focus is on IDO, a checkpoint protein implicated in creating an immunosuppressive environment within tumors (<xref ref-type="bibr" rid="B58">58</xref>). IDO is a cytosolic heme-containing enzyme that catalyzes the first and rate-limiting step in the metabolism of tryptophan (Trp) to kynurenine (Kyn) (<xref ref-type="bibr" rid="B59">59</xref>). It initiates the oxidative cleavage of the pyrrole ring of L-tryptophan to produce N-formylkynurenine, which is subsequently converted into L-kynurenine by kynurenine formamidase (<xref ref-type="bibr" rid="B60">60</xref>). Kynurenine and its downstream metabolites contribute to immunosuppression by inhibiting T-cell responses, enabling tumor cells to evade immune surveillance (<xref ref-type="bibr" rid="B61">61</xref>). L-kynurenine is further metabolized to anthranilic acid via kynureninase, then to 3-hydroxyanthranilic acid through kynurenine-3-monooxygenase, ultimately generating 2-amino-muconic acid, picolinic acid, and quinolinic acid (<xref ref-type="bibr" rid="B62">62</xref>). These downstream metabolites reinforce immune evasion by promoting regulatory T-cell differentiation and inhibiting effector T-cell activity, thereby fostering an immunosuppressive tumor microenvironment (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>IDO plays a critical role in the pathogenesis of various conditions, including chronic inflammatory diseases, infections, and a wide range of malignancies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). Its aberrant overexpression has been reported in several tumor types, including oral, colorectal, hepatocellular, ovarian cancers, and melanomas (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B65">65</xref>). High IDO expression within the tumor microenvironment contributes to immune evasion, facilitates tumor progression and metastasis, and is strongly associated with poor clinical outcomes and decreased overall survival in cancer patients (<xref ref-type="bibr" rid="B66">66</xref>&#x2013;<xref ref-type="bibr" rid="B68">68</xref>). Consistently, preclinical studies have demonstrated that IDO overexpression is linked to poor prognosis across multiple cancer types (<xref ref-type="bibr" rid="B69">69</xref>). Elevated IDO levels have been observed across various cancers such as breast, colorectal, ovarian, gastric cancer, and TSCC (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B65">65</xref>), correlating with poorer prognosis in TSCC patients (<xref ref-type="bibr" rid="B70">70</xref>). This highlights the necessity for enhanced combined immunotherapeutic strategies and predictive biomarkers to effectively identify patients who could derive optimal benefit from these treatments.</p>
<p>In this study, we evaluated the expression of IDO and PD-L1 in 106 patients with tongue cancer both before and after chemotherapy. Our analysis indicates that chemotherapy significantly influences the expression of IDO and PD-L1. Prior to chemotherapy, the majority of patients were negative for IDO (83%) and PD-L1 (75.5%). Post-chemotherapy, there was an increase in the expression of both markers, with IDO positivity rising to 24.5% and PD-L1 positivity to 29.2%. This suggests that chemotherapy may upregulate these immunosuppressive markers, potentially impacting the tumor microenvironment and immune evasion mechanisms. The increase in IDO and PD-L1 expression post-chemotherapy could imply a chemoresistance mechanism, where tumors adapt to therapeutic pressures by enhancing immunosuppressive pathways.</p>
<p>Regarding the effect of chemotherapy on PD-L1 expression, several studies have documented changes in PD-L1 expression following traditional cancer treatments like chemotherapy, radiotherapy, or their combination. In a study conducted by Park BJ et&#xa0;al, chemoradiation therapy has shown to significantly alter PD-L1 expression in locoregional recurrent squamous cell carcinomas of the head and neck (<xref ref-type="bibr" rid="B71">71</xref>). This change in PD-L1 score post-treatment suggests a potential shift in the tumor&#x2019;s immune microenvironment, which may influence the effectiveness of subsequent immunotherapeutic approaches (<xref ref-type="bibr" rid="B71">71</xref>). The findings highlight the importance of re-assessing PD-L1 status in recurrent tumors, as initial evaluations conducted prior to treatment may not accurately represent the post-therapy immune profile. A systematic review by Van den Ende et&#xa0;al. identified 48 studies examining PD-L1 expression changes post-treatment. Statistical analysis indicated that 30 of these studies reported increased PD-L1 expression in post-treatment specimens or treated versus untreated samples (<xref ref-type="bibr" rid="B72">72</xref>). However, Karpathiou et&#xa0;al. evaluated the stability of PD-L1 expression in 106 HNSCC tissue specimens over storage periods of 20&#x2013;48 months (<xref ref-type="bibr" rid="B73">73</xref>). They reported a significant decline in PD-L1 tumor proportional score, immune cell expression, and combined positive score over time, indicating loss of antigenicity in archived FFPE samples (<xref ref-type="bibr" rid="B73">73</xref>). This degradation may lead to underestimation of PD-L1 expression, potentially influencing treatment decisions and study results depending on the interval between the first and second biopsy. Timely evaluation on freshly processed tissue is therefore recommended for accurate immunotherapy eligibility assessment.</p>
<p>Despite an extensive literature search, we found no studies addressing IDO status before and after chemotherapy specifically in oral squamous cell carcinoma. However, our findings align with other research indicating elevated IDO expression post-chemotherapy (<xref ref-type="bibr" rid="B74">74</xref>). IDO-inducing signals may be inherently present in the tumor&#x2019;s inflammatory microenvironment and could be further triggered by dying cells and tumor antigens released during chemotherapy. Nevertheless, the precise extent of IDO production following chemotherapy remains largely unexplored (<xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>Our study found a significant association between IDO and PD-L1 positivity both before and after chemotherapy, reinforcing the notion of an immunosuppressive microenvironment in IDO-positive patients. Multifocal tumors were also significantly associated with IDO positivity prior to chemotherapy, suggesting a potential link between tumor multiplicity and immunosuppressive marker expression. Post-chemotherapy, IDO-positive patients had more comorbidities, highlighting the complex interplay between patient health status and tumor biology.</p>
<p>The overall five-year survival rate for patients in this study was 49%, with a median survival time of 53 months. Despite investigating IDO and PD-L1 expressions, our analysis did not reveal significant differences in survival outcomes related to these markers. This finding suggests that, while IDO and PD-L1 are involved in the immunosuppressive environment of TSCC, their expression levels may not directly impact overall survival within this cohort. Further research could explore additional factors influencing survival and assess whether combining IDO and PD-L1 with other biomarkers might provide a more comprehensive understanding of patient prognosis.</p>
<p>To the best of our knowledge, no study has yet examined the expression of both biomarkers before and after chemotherapy. This highlights the strength of our research, providing valuable insights into the immunosuppressive dynamics within oral squamous cell carcinoma before and after chemotherapy. Future research should focus on longitudinal studies to monitor these markers over time. Additionally, further investigation into the molecular pathways driving these expression changes could uncover novel therapeutic targets.</p>
<p>The current study has some limitations. The retrospective design and reliance on existing patient records may introduce selection bias and limit data quality control. The cross-sectional analysis only captures data at two points, missing dynamic changes. A larger cohort would enhance statistical power and overall impact of the study.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The current study demonstrates that chemotherapy increases IDO and PD-L1 expression in TSCC, suggesting that incorporating immunotherapy could benefit patients undergoing chemotherapy. Future research should emphasize longitudinal studies and the combinatorial analysis of multiple biomarkers to gain a clearer understanding of immune marker expression dynamics in TSCC.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The current study involving human participants was approved by the Institutional Review Board (IRB) of SKMCH&amp;RC under approval number EX-05-12-22-02. The IRB granted the waiver for informed consent for this study, which is in accordance with the Declaration of Helsinki. The FFPE samples were obtained from pathology archives and patient data was retrieved from medical records. All accessed data complied with relevant data protection and privacy regulations and posed minimal risk to participants.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>MeF: Conceptualization, Data curation, Investigation, Methodology, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SB: Formal analysis, Investigation, Methodology, Resources, Writing &#x2013; original draft. SR: Conceptualization, Project administration, Supervision, Writing &#x2013; review &amp; editing. AA: Conceptualization, Investigation, Project administration, Supervision, Writing &#x2013; review &amp; editing. MH: Data curation, Methodology, Software, Writing &#x2013; original draft. MA: Data curation, Formal analysis, Software, Writing &#x2013; original draft. AS: Data curation, Methodology, Resources, Writing &#x2013; original draft. MT: Investigation, Methodology, Resources, Writing &#x2013; original draft. US: Formal analysis, Methodology, Validation, Writing &#x2013; review &amp; editing. AL: Investigation, Project administration, Validation, Writing &#x2013; review &amp; editing. MuF: Investigation, Resources, Validation, Writing &#x2013; review &amp; editing. AF: Conceptualization, Formal analysis, Investigation, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. KA: Conceptualization, Investigation, Project administration, Supervision, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1495722/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1495722/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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