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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.2025.1666078</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>Comparison of PD-L1 expression in head and neck squamous cell carcinoma among preoperative biopsy, surgical resection and metastatic lymph node</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sohn</surname>
<given-names>Heeseung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3129534/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Meejeong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sang-Yeon</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Dong-Il</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lee</surname>
<given-names>Youn Soo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref> <xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Hospital Pathology, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1274612/overview">Raffaele Addeo</ext-link>, ASLNAPOLI2NORD ONCOLOGIA, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1202177/overview">Mario Pirozzi</ext-link>, University of Campania Luigi Vanvitelli, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3159685/overview">Haolei Tan</ext-link>, Hunan Cancer Hospital, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Youn Soo Lee, <email xlink:href="mailto:lys9908@catholic.ac.kr">lys9908@catholic.ac.kr</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Heeseung Sohn, <uri xlink:href="https://orcid.org/0009-0009-9967-8009">orcid.org/0009-0009-9967-8009</uri>; Meejeong Kim, <uri xlink:href="https://orcid.org/0000-0002-1232-8439">orcid.org/0000-0002-1232-8439</uri>; Sang-Yeon Kim, <uri xlink:href="https://orcid.org/0000-0003-3745-5124">orcid.org/0000-0003-3745-5124</uri>; Dong-Il Sun, <uri xlink:href="https://orcid.org/0000-0001-9950-568X">orcid.org/0000-0001-9950-568X</uri>; Youn Soo Lee, <uri xlink:href="https://orcid.org/0000-0002-1653-6315">orcid.org/0000-0002-1653-6315</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1666078</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Sohn, Kim, Kim, Sun and Lee.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Sohn, Kim, Kim, Sun and Lee</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>The interpretation of PD-L1 expression in advanced head and neck squamous cell carcinoma (HNSCC) has recently emerged as a component of companion diagnostics, essential in identifying candidates for immune checkpoint inhibitors (ICIs). However, evaluating PD-L1 expression using the combined positive score (CPS) and tumor proportion score (TPS) has posed challenges, particularly in selecting appropriate specimens and determining hotspots for measurement.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study included 68 HNSCC cases from the oropharynx and tongue, collecting complete sets of preoperative biopsy, surgical resection, and metastatic lymph node samples. PD-L1 22C3 staining was performed on each 204 samples to assess PD-L1 expression. The CPS and TPS were measured in all samples using QuPath, an open-source bioimage analysis tool. Statistical comparisons of CPS and TPS among the three specimen types were conducted using Kruskal-Wallis test.</p>
</sec>
<sec>
<title>Results</title>
<p>Significant discrepancies were observed in both CPS and TPS between biopsy and surgical resection (p &lt;0.01, respectively), as well as in both CPS and TPS between resection and metastatic lymph node (p &lt;0.01, respectively). However, no significant statistical differences were observed between the biopsy and metastatic lymph node.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our analysis highlights the heterogeneity of PD-L1 expression across different specimen types. Significant variability exists between the preoperative biopsy and surgical resection, and between surgical resection and metastatic lymph node in patients with HNSCC. These findings suggest that PD-L1 expression varies in response to tumor microenvironment across various tumor areas and time frames. Therefore, individualized PD-L1 assessment for each specimen type is crucial for accurately determining eligibility for ICIs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>head and neck squamous cell carcinoma</kwd>
<kwd>PD-L1</kwd>
<kwd>combined positive score</kwd>
<kwd>tumor proportion score</kwd>
<kwd>heterogeneity</kwd>
</kwd-group>
<contract-sponsor id="cn001">Korea Health Industry Development Institute<named-content content-type="fundref-id">10.13039/501100003710</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="20"/>
<page-count count="10"/>
<word-count count="3982"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>Head and neck cancer is the seventh most common type of malignancy, with approximately 890,000 new cases diagnosed worldwide annually (<xref ref-type="bibr" rid="B1">1</xref>). Over 90% of these cases are classified as squamous cell carcinoma. Head and neck squamous cell carcinoma (HNSCC) significantly impairs a patient&#x2019;s quality of life, with a high risk of metastasis or recurrence, often leading to poor clinical outcomes despite multimodal treatment strategies.</p>
<p>Programmed death-ligand 1 (PD-L1) is an immune checkpoint protein expressed on tumor cells. Its interaction with PD-L1 receptors on T cells results in immune tolerance, allowing tumor cells to evade immune surveillance. Several studies that have reported an association between PD-L1 expression and clinical factors in HNSCC, with some suggesting that the presence of human papilloma virus (HPV) is associated with higher PD-L1 expression likely due to immune activation (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>The introduction of immune checkpoint inhibitors (ICIs) has revolutionized cancer treatment by restoring T cell-mediated immune responses against tumor cells. ICIs, such as pembrolizumab, has been approved as both a first-line and second-line treatment options for advanced HNSCC. Accurate pathological assessment of PD-L1 expression, using the combined positive score (CPS) and tumor proportion score (TPS), remains critical for guiding patient selection.</p>
<p>Based on the KEYNOTE-689 trial, current guidelines recommend pembrolizumab for patients with resectable, locally advanced HNSCC (stage III&#x2013;IVA) when CPS is &#x2265;1 in the first-line setting and TPS is &#x2265;50% in the second-line setting (<xref ref-type="bibr" rid="B3">3</xref>). In addition, the CHECKMATE-141 trial demonstrated that nivolumab is effective in recurrent HNSCC irrespective of PD-L1 expression or p16 status (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Many studies have examined PD-L1 expression levels in cohorts of patients with non-small cell lung cancer (NSCLC). Some have demonstrated intra-tumoral heterogeneity of PD-L1 expression (<xref ref-type="bibr" rid="B4">4</xref>), as well as inter-site heterogeneity within individual tumors (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), raising the question of whether PD-L1 expression changes during tumor metastasis.</p>
<p>In the HNSCC, some contradictory reports suggest that a single specimen may adequately represent the PD-L1 expression of the entire tumor, regardless of the degree of intra-tumoral heterogeneity (<xref ref-type="bibr" rid="B7">7</xref>), while others indicate that recurrent or metastatic tumors may show distinct PD-L1 expression patterns compared to primary tumors (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Despite the clinical significance of PD-L1 expression, its consistency across different specimen types&#x2014;including preoperative biopsy, surgical resection, and metastatic lymph nodes&#x2014;remains controversial. However, there are no standardized guidelines for PD-L1 interpretation across different specimen types. There is no consensus on which tissue should best be used for PD-L1 immunohistochemical testing to avoid misclassification of PD-L1 status (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>This study aims to investigate the heterogeneity of PD-L1 expression across different specimen types in HNSCC and to analyze the comparative relationships between CPS and TPS measurements.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patient and material</title>
<p>Between 2014 and 2023, histologically confirmed cases of HNSCC were retrieved from the pathology archives of the Department of Hospital Pathology, Seoul St. Mary&#x2019;s Hospital. A total of 68 cases were retrospectively selected, comprising tumors of the oropharynx (palatine tonsil and base of tongue) and oral cavity (tongue proper and floor of mouth). These anatomical sites were selected for their accessibility and rising incidence, while tumors of the hypopharynx, maxilla, larynx were excluded due to limited case numbers and suboptimal PD-L1 staining following decalcification.</p>
<p>Within the oropharyngeal group (39 cases), 14 were stage I, 19 were stage II, five were stage III, and one was stage IV at diagnosis. In the oral cavity group (29 cases), 20 were stage III and nine were stage IV. For each case, complete sets of preoperative biopsy, surgical resection, and lymph node metastasis samples were collected. In most cases (66/68), lymph node metastases were resected during the same surgical procedure as the primary tumor. Hematoxylin and eosin (H&amp;E)-stained slides were reviewed to confirm the presence of carcinoma.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Immunohistochemistry procedures</title>
<p>Initial HPV status screening was performed using p16 IHC. Confirmation was then conducted with the PANA RealTyper HPV kit (Panagene, Daejeon, Korea), a multiplex real-time PCR assay performed on DNA extracted from the tumor tissue. In parallel, PD-L1 IHC was performed using the PD-L1 IHC 22C3 pharmDx assay (Agilent/Dako, CA, USA).</p>
<p>Both p16 and PD-L1 22C3 IHC were conducted on 4-&#xb5;m-thick sections prepared from formalin-fixed, paraffin-embedded (FFPE) blocks. The entire process for the 204 tissue sections (representing complete sets of specimens from 68 patients) were automated on the Ventana BenchMark ULTRA automated staining platform (Ventana Medical Systems, AZ, USA).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Whole slide image preparation</title>
<p>Whole-slide images of the PD-L1-stained slides were digitalized using the Philips Intellisite Pathology Solution platform. The images were then exported as high-resolution TIFF files for further bioimage analysis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Bioimage analysis</title>
<p>QuPath, an open-source bioimage analysis platform, was used for the manual annotation of four distinct cell populations: tumor cells, immune cells, PD-L1-expressing tumor cells, and PD-L1-expressing immune cells (<xref ref-type="bibr" rid="B10">10</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Procedure of automated analysis of PD-L1 22C3 expression using QuPath. Each PD-L1 22C3 pharmDx-stained slide was digitally scanned and exported into Qupath, followed by whole cell detection. Annotation was conducted to classify four different cell populations: tumor cells (light yellow), immune cells (pink), PD-L1 stained tumor cells (red), PD-L1 stained immune cells (green), non-relevant cells (black, not shown) <bold>(A)</bold>. The annotated classification was then applied across the entire slide using an object classifier <bold>(B)</bold>. CPS and TPS were subsequently calculated based on numerical outputs derived from the analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1666078-g001.tif">
<alt-text content-type="machine-generated">Histological images of tissue samples with annotated regions. Panel A shows detailed cellular structures with color-coded areas in light yellow, pink, red, and green, representing tumor cells, immune cells, PD-L1–positive tumor cells, and PD-L1–positive immune cells, respectively. Panel B illustrates the application of these annotations to whole PD-L1–stained slides, enabling comprehensive classification of cell populations. Both panels include software interface elements for image analysis and classification.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>PD-L1 scoring and classification</title>
<p>PD-L1 expression was evaluated using two standardized scoring systems for each specimen. The combined proportion score (CPS) was calculated as the number of PD-L1&#x2013;positive cells, including tumor cells, lymphocytes, and macrophages, divided by the total number of viable tumor cells and multiplied by 100. The tumor proportion score (TPS) was calculated as the percentage of PD-L1&#x2013;positive tumor cells among at least 100 viable tumor cells. Necrotic areas and non-neoplastic cellular components were excluded from the analysis. Based on these scores, specimens were classified into three expression categories: negative (CPS &lt;1; TPS &lt;1%), low expression (CPS 1&#x2013;19; TPS 1&#x2013;49%), and high expression (CPS &#x2265;20; TPS &#x2265;50%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Examples of PD-L1 expression across different specimens. Negative PD-L1 expression (CPS &lt; 1 or TPS &lt; 1%) in preoperative biopsy <bold>(A)</bold>, surgical resection <bold>(B)</bold> and metastatic lymph node <bold>(C)</bold>. Low PD-L1 expression (CPS 1&#x2013;20 or TPS 1- 50%) in preoperative biopsy <bold>(D)</bold>, surgical resection <bold>(E)</bold> and metastatic lymph node <bold>(F)</bold>, characterized by scarce staining in tumor cells with occasional PD-L1 stained mononuclear immune cells. High PD-L1 expression (CPS &#x2265; 20 or TPS &#x2265; 50%) in preoperative biopsy <bold>(G)</bold>, surgical resection <bold>(H)</bold> and metastatic lymph node <bold>(I)</bold> with strong staining in tumor cells and accompanying immune cells adjacent to tumor nests.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1666078-g002.tif">
<alt-text content-type="machine-generated">Histological image grid showing varying levels of expression. Top row (A-C) indicates negative expression in biopsy, resection, and lymph node samples. Middle row (D-F) shows low expression with increased staining in similar sample types. Bottom row (G-I) illustrates high expression with intense staining. Each section represents different tissue reactions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Statistical analyses were performed to investigate the relationships between different variables. The Mann-Whitney U test was used to analyze the association between HPV status (determined by p16 IHC and PCR) and PD-L1 expression, as well as the association between PD-L1 expression and the stage of oropharyngeal cancer. The Kruskal-Wallis test was applied to compare CPS and TPS values across different specimen types (biopsy, resection, and metastasis). A two-tailed significance level of p&lt;0.05 was used to determine statistical significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Clinicopathological features</title>
<p>Among the 68 HNSCC cases, primary tumors originated from the oropharynx (57.3%, 39/68) and the oral cavity (42.7%, 29/68). The mean age at diagnosis was 59.1 years, with a male predominance (male 71%, female 29%). In oropharyngeal HNSCCs, HPV positivity was confirmed in 89.7% of cases (35/39) and was significantly associated with p16 IHC (p &lt;0.05). CPS was significantly higher in HPV-positive oropharyngeal cancers in both biopsy and resection specimens (p &lt; 0.05). Notably, CPS scores differed significantly between early-stage (I-II) and advanced-stage (III-IV) oropharyngeal cancers in resection specimens (p &lt;0.05). No oral cavity HNSCCs were HPV-associated (0/29). Other clinicopathological aspects and PD-L1 scores are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinicopathologic characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variable</th>
<th valign="middle" align="center">Oropharynx (n=39)</th>
<th valign="middle" align="center">Oral cavity (n=29)</th>
<th valign="middle" align="center">All cases (n = 68)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Mean age (years)</td>
<td valign="middle" align="center">60.0 (range: 45 &#x2013; 83)</td>
<td valign="middle" align="center">54. 0(range: 33 &#x2013; 80)</td>
<td valign="middle" align="center">59.1 (range: 33 &#x2013; 83)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Sex (n, %)</td>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">30 (76.9%)</td>
<td valign="middle" align="center">18 (62.1%)</td>
<td valign="middle" align="center">48 (70.6%)</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">9 (23.1%)</td>
<td valign="middle" align="center">11 (37.9%)</td>
<td valign="middle" align="center">20 (29.4%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Human papilloma virus status (n, %)</td>
</tr>
<tr>
<td valign="middle" align="left">Positive</td>
<td valign="middle" align="center">35 (89.7%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">35 (51.5%)</td>
</tr>
<tr>
<td valign="middle" align="left">Negative</td>
<td valign="middle" align="center">4 (10.3%)</td>
<td valign="middle" align="center">29 (100%)</td>
<td valign="middle" align="center">33 (48.5%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">p16 status (n, %)</td>
</tr>
<tr>
<td valign="middle" align="left">Positive</td>
<td valign="middle" align="center">37 (94.9%)</td>
<td valign="middle" align="center">6 (20.7%)</td>
<td valign="middle" align="center">43 (63.2%)</td>
</tr>
<tr>
<td valign="middle" align="left">Negative</td>
<td valign="middle" align="center">2 (5.1%)</td>
<td valign="middle" align="center">23 (79.3%)</td>
<td valign="middle" align="center">25 (36.8%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Stage of the disease (n, %)</td>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">14 (35.9%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">19 (48.7%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">III</td>
<td valign="middle" align="center">5 (12.8%)</td>
<td valign="middle" align="center">20 (69.0%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">IV</td>
<td valign="middle" align="center">1 (2.6%)</td>
<td valign="middle" align="center">9 (31.0%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">CPS (Combined positive score) (n, %)</th>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Preoperative biopsy</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">2 (5.1%)</td>
<td valign="middle" align="center">1 (3.4%)</td>
<td valign="middle" align="center">3 (4.4%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-19</td>
<td valign="middle" align="center">11 (28.2%)</td>
<td valign="middle" align="center">10 (34.5%)</td>
<td valign="middle" align="center">21 (30.9%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 20</td>
<td valign="middle" align="center">26 (66.7%)</td>
<td valign="middle" align="center">18 (62.1%)</td>
<td valign="middle" align="center">44 (64.7%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Surgical resection</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">0 (0.0%)</td>
<td valign="middle" align="center">0 (0.0%)</td>
<td valign="middle" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-19</td>
<td valign="middle" align="center">5 (12.8%)</td>
<td valign="middle" align="center">4 (13.8%)</td>
<td valign="middle" align="center">9 (13.2%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 20</td>
<td valign="middle" align="center">34 (87.2%)</td>
<td valign="middle" align="center">25 (86.2%)</td>
<td valign="middle" align="center">59 (86.8%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Metastatic lymph node</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">1 (2.6%)</td>
<td valign="middle" align="center">1 (3.4%)</td>
<td valign="middle" align="center">2 (2.9%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-19</td>
<td valign="middle" align="center">11 (28.2%)</td>
<td valign="middle" align="center">9 (31.0%)</td>
<td valign="middle" align="center">20 (29.4%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 20</td>
<td valign="middle" align="center">27 (69.2%)</td>
<td valign="middle" align="center">19 (65.5%)</td>
<td valign="middle" align="center">46 (67.7%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TPS (Tumor proportion score) (n, %)</th>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Preoperative biopsy</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">5 (12.8%)</td>
<td valign="middle" align="center">4 (13.8%)</td>
<td valign="middle" align="center">9 (13.2%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-49</td>
<td valign="middle" align="center">26 (66.7%)</td>
<td valign="middle" align="center">18 (62.1%)</td>
<td valign="middle" align="center">44 (64.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 50</td>
<td valign="middle" align="center">8 (20.5%)</td>
<td valign="middle" align="center">7 (24.1%)</td>
<td valign="middle" align="center">15 (22.1%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Surgical resection</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">0 (0.0%)</td>
<td valign="middle" align="center">1 (3.4%)</td>
<td valign="middle" align="center">1 (1.5%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-49</td>
<td valign="middle" align="center">26 (66.7%)</td>
<td valign="middle" align="center">16 (55.2%)</td>
<td valign="middle" align="center">42 (61.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 50</td>
<td valign="middle" align="center">13 (33.3%)</td>
<td valign="middle" align="center">12 (41.4%)</td>
<td valign="middle" align="center">25 (36.8%)</td>
</tr>
<tr>
<td valign="middle" colspan="4" align="left">Metastatic lymph node</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;1</td>
<td valign="middle" align="center">6 (15.4%)</td>
<td valign="middle" align="center">5 (17.2%)</td>
<td valign="middle" align="center">11 (16.2%)</td>
</tr>
<tr>
<td valign="middle" align="left">1-49</td>
<td valign="middle" align="center">21 (53.8%)</td>
<td valign="middle" align="center">19 (65.5%)</td>
<td valign="middle" align="center">40 (58.8%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265; 50</td>
<td valign="middle" align="center">12 (30.8%)</td>
<td valign="middle" align="center">5 (17.2%)</td>
<td valign="middle" align="center">17 (25.0%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>PD-L1 expression in general</title>
<p>The average CPS and TPS was 42.8 (0.3-100) and 27.8% (0-92.1) in preoperative biopsies, 62.2 (4.1 -100) and 40.7% (0.04-100) in surgical resections, and 47.4 (0.1-100) and 27.9% (0-9-2.7) in metastatic lymph nodes.</p>
<p>In preoperative biopsies, CPS was negative in 3/68 (4.4%), low in 21/68 (30.9%), and high in 44/68 (64.7%). TPS was negative in 9/68 (13.2%), low in 44/68 (64.7%), and high in 15/68 (22.1%). In surgical resections, CPS was negative in 0/68 (0%), low in 9/68 (13.2%), and high in 59/68 (86.8%). TPS was negative in 1/68 (1.5%), low in 42/68 (61.7%), and high in 25/68 (36.8%). In metastatic lymph nodes, CPS was negative in 2/68 (2.9%), low in 20/68 (29.4%), and high in 46/68 (67.7%). TPS was negative in 11/68 (16.2%), low in 40/68 (58.8%), and high in 17/68 (25.0%).</p>
<p>Among PD-L1&#x2013;positive cases (low and high expression), CPS consistently showed higher expression in oropharyngeal cancers across all specimen types, whereas TPS displayed variable patterns between oropharyngeal and oral cavity tumors.</p>
<p>In preoperative biopsies, CPS positivity was observed in 26/37 (70.3%) oropharyngeal cancers and 18/28 (64.3%) oral cavity cancers, while TPS positivity was found in 8/34 (23.5%) and 7/25 (28.0%), respectively. In surgical resections, CPS positivity was seen in 34/39 (87.2%) oropharyngeal cancers and 25/29 (86.2%) oral cavity cancers, with TPS positivity in 13/39 (33.3%) and 12/28 (42.9%), respectively. In metastatic lymph nodes, CPS positivity was present in 27/38 (71.1%) oropharyngeal cancers and 19/28 (67.9%) oral cavity cancers, while TPS positivity was seen in 12/33 (36.4%) and 5/24 (20.8%), respectively. Comparison bar graphs for oropharyngeal and oral cavity tumors across specimen types are shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>PD-L1 expression by CPS (top) and TPS (bottom) in oropharyngeal and oral cavity carcinomas across biopsy, resection, and lymph node specimens. CPS and TPS were categorized as negative (CPS &lt; 1, TPS &lt; 1%), low (CPS 1&#x2013;19, TPS 1&#x2013;49%), and high (CPS &#x2265; 20, TPS &#x2265; 50%).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1666078-g003.tif">
<alt-text content-type="machine-generated">Bar charts depicting case numbers for oral cavity and oropharynx groups categorized by CPS and TPS in biopsy, resection, and lymph node. Each chart shows cases as negative, low, or high.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>HPV status and PD-L1 expression</title>
<p>In oropharyngeal cancers (n=39), HPV-positive tumors were associated with significantly higher PD-L1 expressions than HPV-negative cases for CPS for biopsy and resection specimens, and for TPS in resection specimens (p &lt;0.05) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>PD-L1 expression by HPV status in oropharyngeal cancer. CPS (top) and TPS (bottom) in biopsy, resection, and lymph node specimen, stratified by HPV-positive (n=35) and HPV-negative (n=4) groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1666078-g004.tif">
<alt-text content-type="machine-generated">Box plot chart showing CPS and TPS scores for Biopsy, Resection, and Lymph Node samples comparing HPV negative and positive groups. HPV positive samples generally have higher median values and wider interquartile ranges. Median is marked with a horizontal line, the interquartile range shown as a box, whiskers indicate 1.5 times the interquartile range, outliers as circles, and mean values by green triangles. HPV positive group size is thirty-five, and HPV negative is four.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Paired statistical analysis of PD-L1 expression across specimens</title>
<p>The Kruskal-Wallis test revealed significant differences in both CPS and TPS when comparing preoperative biopsies with surgical resections (p&lt;0.05 for both). Similarly, significant differences were found between surgical resections and metastatic lymph nodes (p&lt;0.05 for both). No statistically significant differences were observed for CPS and TPS between preoperative biopsies and metastatic lymph nodes.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Categorical comparison of PD-L1 expression between primary and metastatic specimens</title>
<p>When comparing paired primary tumors (resection specimens) and metastatic lymph nodes, the overall categorical concordance rate for CPS was 72.1% (49/68). Higher CPS values were observed in the primary tumor in 25.0% (17/68) of cases, while higher CPS was found in the lymph node in 2.9% (2/68) of cases. For TPS, the overall concordance rate was 47.1% (32/68), with higher values in the primary tumor and lymph node in 38.2% (26/68) and 14.7% (10/68) of cases, respectively (<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>PD-L1 expression in primary tumors and metastatic lymph nodes, categorized by CPS and TPS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Lymph node <break/>
<break/>Primary</th>
<th valign="middle" align="center">CPS &lt;1</th>
<th valign="middle" align="center">CPS 1-19</th>
<th valign="middle" align="center">CPS &gt;20</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">CPS &lt;1</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="middle" align="center">CPS 1-19</td>
<td valign="middle" align="center">2 (2.9%)</td>
<td valign="middle" align="center">5 (7.4%)</td>
<td valign="middle" align="center">2 (2.9%)</td>
</tr>
<tr>
<td valign="middle" align="center">CPS &gt;20</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">15 (22.1%)</td>
<td valign="middle" align="center">44 (64.7%)</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="middle" align="left">Lymph node<break/>
<break/>Primary</th>
<th valign="middle" align="center">TPS &lt;1%</th>
<th valign="middle" align="center">TPS 1-49%</th>
<th valign="middle" align="center">TPS &gt;50%</th>
</tr>
<tr>
<td valign="middle" align="center">TPS&lt;1%</td>
<td valign="middle" align="center">1 (1.5%)</td>
<td valign="middle" align="center">0 (0%)</td>
<td valign="middle" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="middle" align="center">TPS 1-49%</td>
<td valign="middle" align="center">8 (11.8%)</td>
<td valign="middle" align="center">24 (35.3%)</td>
<td valign="middle" align="center">10 (14.7%)</td>
</tr>
<tr>
<td valign="middle" align="center">TPS &gt;50%</td>
<td valign="middle" align="center">2 (2.9%)</td>
<td valign="middle" align="center">16 (23.5%)</td>
<td valign="middle" align="center">7 (10.3%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CPS, Combined positive score, TPS, Tumor proportion score.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Case-wise PD-L1 expression trends</title>
<p>
<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> illustrates case-wise PD-L1 expression trends in CPS and TPS. Average CPS scores in surgical specimens were approximately 20 points higher than corresponding TPS values. One case showed consistently low PD-L1 expression (TPS &lt;1%) across all specimens. Inverse expression patterns, where surgical specimens had lower PD-L1 expression than biopsies or lymph nodes, were observed in a subset of cases (highlighted in orange and blue in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Sankey diagrams showing PD-L1 expression trends (CPS and TPS) across 68 HNSCC cases. Surgical specimens generally exhibited higher CPS (~20 scale) compared to TPS, likely due to PD-L1-positive immune cells. A case demonstrated uniformly low PD-L1 expression (TPS &lt;1%) across all specimens (depicted in top blue). Several cases with inverse PD-L1 expression pattern (lower expression in resection) are also depicted in red orange and blue.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1666078-g005.tif">
<alt-text content-type="machine-generated">Flow diagrams depict biopsy, resection, and lymph node data. The left shows CPS (combined positive score) categories with paths labeled for biopsy and resection scores: &lt;1, 1-19, &gt;20. The right shows TPS (tumor proportion score) with paths for biopsy and resection scores: &lt;1%, 1-49%, &gt;50%. Arrows indicate data flow between scores with numbered labels.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study explores PD-L1 expression patterns in Head and neck squamous cell carcinoma across preoperative biopsies, surgical resections and metastatic lymph nodes, using CPS and TPS categorized into three groups. Oropharyngeal tumors demonstrated clinicopathological features distinct from oral cavity cancers, in part due to their strong association with HPV infection and its correlation with p16 IHC (<xref ref-type="bibr" rid="B2">2</xref>). Also, CPS scores from resection specimens were significantly lower in advanced-stage disease compared with early-stage cancer (median value 37.8 vs.67.7, p &lt; 0.05).</p>
<sec id="s4_1">
<label>4.1</label>
<title>CPS versus TPS</title>
<p>Across all specimen types, CPS consistently exceeded TPS, with an average difference of approximately 20 units. This discrepancy reflects the contribution of PD-L1-positive immune cells incorporated into CPS but excluded from TPS. Prior studies have similarly suggested that CPS better represents the tumor microenvironment (<xref ref-type="bibr" rid="B11">11</xref>), particularly in surgically resected specimens where immune infiltrates are more comprehensively sampled (<xref ref-type="bibr" rid="B12">12</xref>). Notably, inter-specimen concordance was higher for CPS than for TPS (72.1% vs. 48.5%), supporting the notion that CPS provides a more stable and reproducible measure across tumor compartments (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>), even though intratumoral heterogeneity remains.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Evaluation of variability of PD-L1 expression</title>
<p>Several studies have highlighted the challenges in evaluating PD-L1 expression in HNSCCs, including variability in expression levels and the difficulty of selecting representative samples (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Karpathiou et&#xa0;al. reported that PD-L1 expression may decline in archival specimens, potentially compounding heterogeneity in reported results (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, PD-L1 assessment after chemotherapy and/or radiotherapy has yielded conflicting outcomes across studies (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>In other malignancies, such as lung cancer, the consistency of PD-L1 expression between primary tumors and metastases has also been examined. Gradecki et&#xa0;al. observed high concordance between core biopsies and resections in NSCLC, particularly in specimens with diffuse staining involving &gt;50% of tumor cells (<xref ref-type="bibr" rid="B19">19</xref>). In contrast, more recent investigations have underscored significant variability in PD-L1 expression across specimen types in both early and advanced NSCLC (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B20">20</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Pairwise specimen comparisons of PD-L1 expression</title>
<sec id="s4_3_1">
<label>4.3.1</label>
<title>Preoperative biopsy vs. surgical resection</title>
<p>Both CPS and TPS were significantly higher in surgical resections (p &lt; 0.05), consistent with spatial heterogeneity where biopsies may underestimate PD-L1-rich areas. This suggests that interpretations should be done in biopsy and surgical resection parallelly for optimal clinical decision-making, a pattern consistent with precious reports (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
<sec id="s4_3_2">
<label>4.3.2</label>
<title>Surgical resection vs. metastatic lymph node</title>
<p>Significant differences (p &lt; 0.05) were also observed, with lower CPS and TPS in lymph nodes, possibly reflecting temporal heterogeneity arising during the interval of metastasis or recurrence, and/or clonal selection with lower PD-L1 expression. In contrast, Paolino et&#xa0;al. reported higher degree of positivity in metastatic lymph nodes (<xref ref-type="bibr" rid="B14">14</xref>). A potential source of discrepancy includes overestimation of PD-L1 expressing cells, which may not truly represent tumor-immune interactions. Taken together, these observations highlight the need for prospective studies comparing primary tumors and matched metastases.</p>
</sec>
<sec id="s4_3_3">
<label>4.3.3</label>
<title>Preoperative biopsy vs. metastatic lymph node</title>
<p>No significant statistical difference was observed overall, though presence of difference at a group level.</p>
</sec>
<sec id="s4_3_4">
<label>4.3.4</label>
<title>Categorical reclassification across specimen types</title>
<p>For CPS, three negative and 21 low-expression preoperative biopsy cases were largely reclassified into the high-expression category in surgical resections. However, in metastatic lymph nodes, 20 cases reverted to low expression, with only 46 maintaining high expression. For TPS, high expression was identified in 15 preoperative biopsies, increasing to 25 surgical resections. In contrast, only 17 metastatic lymph nodes retained this status, while 40 cases shifted to low-expression category. Notably, a category-skipping phenomenon (negative preoperative biopsy to high expressing surgical resection) was observed both in CPS and TPS, including transitions from negative biopsies to high-expression resections, and, conversely, a decline from high-expression resections to negative lymph nodes. These threshold-crossing events underscore the substantial heterogeneity of PD-L1 expression across specimens.</p>
</sec>
<sec id="s4_3_5">
<label>4.3.5</label>
<title>Oropharyngeal cancers vs. oral cavity cancers</title>
<p>When analyzed by anatomical site, high CPS and low TPS groups were the most frequent categories across all specimens from oropharyngeal and oral cavity cancers. Separate Kruskal-Wallis tests revealed that oropharyngeal tumors showed a CPS difference only between preoperative biopsy and surgical resection, while oral cavity tumors demonstrated differences in both CPS and TPS between biopsy and resection, and resection and metastatic lymph node. These findings suggest site-specific biological differences, potentially influenced by HPV status or other tumor&#x2013;microenvironmental factors, despite their shared squamous histology.</p>
</sec>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Outliers</title>
<p>Several unique cases were identified. One tongue tumor demonstrated uniformly negative PD-L1 expression across all specimens, suggesting an inherently PD-L1-negative phenotype. Of note, a few cases (oropharynx n=1, oral cavity n=2) displayed inverse patterns, with negative surgical resections but corresponding biopsies or lymph nodes strongly positive. This may reflect heterogeneity of tumors, or clonal selection capable of immune evasion in metastatic sites. These unusual patterns underscore the need for further investigation into the biological behavior of such tumor and their potential clinical implications.</p>
<p>Despite these insights, this study has several limitations. First, it is a retrospective, single-institution study with a relatively small sample size, and the inclusion of a few older archival samples, which may limit generalizability of findings. Second, interobserver variability in PD-L1 scoring, especially for immune cell staining, was not assessed. Third, lymph node specimens collected after resection were not separately analyzed but included as a pooled group, without distinction between normal and metastatic lymph nodes, that could have provided further insight for metastatic potential of tumors. Fourth, we did not correlate PD-L1 expression with clinical outcomes, such as response to immune checkpoint inhibitors, which would be necessary to validate the predictive value of these findings.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Our study demonstrates that PD-L1 expression in head and neck squamous cell carcinoma is heterogeneous across specimen types. Oropharyngeal tumors generally exhibited overall higher PD-L1 levels, whereas oral cavity tumors showed greater variability in score-based classification across specimens, with statistically significant differences in measured values for both tumor sites. These indicate that no single specimen can reliably represent tumor&#x2019;s overall PD-L1 status, despite moderate concordance in scoring. Therefore, assessment of multiple specimen types should be considered when determining PD-L1 status for immunotherapy eligibility.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of Catholic Medical Center. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from a by- product of routine care or industry. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HS: Data curation, Formal analysis, Investigation, Visualization, Writing &#x2013; original draft. MK: Conceptualization, Writing &#x2013; original draft. S-YK: Resources, Writing &#x2013; original draft. D-IS: Resources, Writing &#x2013; original draft. YL:&#xa0;Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Software, Visualization.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This research was supported by a grant from the Korea Health Technology R&amp;D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health &amp; Welfare, Republic of Korea (grant number: RS-2021-KH113146).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank MK, S-YK, and D-IS for their assistance and provision of clinical resources.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
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<label>1</label>
<citation citation-type="journal">
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<name>
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