<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.160134.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Clinical correlation of p16 expression with lymphatic invasion and epithelial-mesenchymal transition (EMT) in oropharyngeal carcinomas</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Jawahar</surname>
                        <given-names>Vaishak</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0009-1948-810X</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sreeram</surname>
                        <given-names>Saraswathy</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kini</surname>
                        <given-names>Jyoti</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3351-9517</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Banerjee</surname>
                        <given-names>Sourjya</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>M S</surname>
                        <given-names>Athiyamaan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4691-9728</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sunny</surname>
                        <given-names>Johan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Krishna</surname>
                        <given-names>Abhishek</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9318-7024</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Srinivas</surname>
                        <given-names>Challapalli</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Lobo</surname>
                        <given-names>Dilson</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9222-863X</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Simon</surname>
                        <given-names>Paul</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sai</surname>
                        <given-names>Bharat</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1635-0289</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Radiation Oncology, Kasturba Medical College Mangalore , Manipal Academy of Higher Education, Karnataka, Manipal, India</aff>
                <aff id="a2">
                    <label>2</label>Department of Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:athiyamaan.ms@manipal.edu">athiyamaan.ms@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>22</day>
                <month>1</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>121</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>10</day>
                    <month>1</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Jawahar V et al.</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-121/pdf"/>
            <abstract>
                <sec>
                    <title>Background/Aim</title>
                    <p>To examine the clinical correlation of p16 expression with Epithelial&#x2013;Mesenchymal Transition (EMT) markers and lymphatic invasion in OPSCC patients in terms of clinical status at presentation, subsequent progression, and survival.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Tissue blocks of biopsy-proven Oropharyngeal Squamous Cell Carcinoma were subjected to Immunohistochemistry (IHC) for evaluating the expression of p16, e-cadherin, vimentin and podoplanin. This expression pattern was correlated with the demographic details, treatment response and survival patterns.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>60 patients were finally available for evaluation in this study. Prevalence of HPV infection in our study was found to be 11.7%. E-cadherin expression was found in all HPV-associated patients whereas vimentin was not expressed in any of these. 71.4% patients had low Podoplanin expression and 85.7% had low lymphatic vessel count. Among the HPV- associated patients, 85.8% had T3-T4 stage, 100% had N2-N3 disease and 95% had stage IV disease. It was also found that p16-positive patients had significantly higher 1-year Overall survival (OS) (80%, p=0.045), higher 1-year Progression-free survival (PFS) (60%) and higher 1-year Locoregional recurrence-free survival (LRRFS) (75%) when compared to p16-negative patients.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>Prevalence of HPV infection was found to be similar to that of previous studies conducted in India. As previous literature suggests, the HPV-positive patients in our study presented with advanced nodal disease at presentation and thereby, an advanced overall stage. Further follow-up of these patients including their treatment details, determination of possible prognostic markers, and evaluation of their survival parameters can be done which can help in modifying the existing treatment modalities as HPV-associated OPSCC are known to have better prognosis according to literature.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>HPV</kwd>
                <kwd>oropharyngeal carcinoma</kwd>
                <kwd>e-cadherin</kwd>
                <kwd>vimentin</kwd>
                <kwd>epithelial-mesenchymal transition</kwd>
                <kwd>podoplanin</kwd>
                <kwd>prognosis</kwd>
                <kwd>survival.</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Head and neck cancers (HNC) comprise a group of neoplasms involving the oral cavity, oropharynx, nasopharynx, hypopharynx, and larynx. It is typically associated with risk factors, such as excessive alcohol intake, tobacco exposure, or both. However, oropharyngeal tumors have been found to be strongly associated with human papillomavirus (HPV) infection, particularly HPV-16 and HPV-18 strains (
                <xref ref-type="bibr" rid="ref13">Johnson et al., 2020</xref>; 
                <xref ref-type="bibr" rid="ref21">Saxena et al., 2019</xref>). The main treatment approach for any pharyngeal malignancy is chemoradiation, predominantly owing to the higher functional morbidity observed following surgery in such patients. In general, HPV-associated HNC has been found to a better prognosis after treatment than non-HPV-associated HNC. Hence, multiple ongoing studies are exploring the scope of therapeutic dose de-escalation in the management of HPV-associated diseases (
                <xref ref-type="bibr" rid="ref13">Johnson et al., 2020</xref>).</p>
            <p>The most prevalent histological subtype in HNC is the Squamous Cell Carcinoma variant known as head and neck squamous cell carcinoma (HNSCC) (
                <xref ref-type="bibr" rid="ref21">Saxena et al., 2019</xref>). It is the second-most prevalent form of cancer in India and comprises more than 30% of all the malignancies in India (
                <xref ref-type="bibr" rid="ref23">Sung et al., 2021</xref>). This increased incidence rate is because the majority of the Indian population has a lower socioeconomic status, increased trend in habits such as tobacco chewing and alcohol consumption, insufficient exposure to new diagnostic measures, and subsequent delayed reporting. Despite recent advances in surgery and radiotherapy techniques over the last few decades, there has not been a considerable increase in the survival rates of these patients (
                <xref ref-type="bibr" rid="ref11">Huber et al., 2011</xref>). Therefore, an extensive understanding of the prognostic factors in the interplay is of great importance for improving possible outcomes.</p>
            <p>Although HPV-associated tumors of Oropharyngeal Squamous Cell carcinoma (OPSCC) often have advanced nodal disease at presentation, they respond better to treatment and, thereby, have a better prognosis. However, the exact molecular mechanisms underlying this phenomenon remain unknown (
                <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>). Tumor invasion generally occurs in two unique forms: single-cell invasion and collective cell invasion. Epithelial-Mesenchymal Transition (EMT) is a process in which tumor progression occurs via single-cell invasion, where epithelial tumor cells acquire mesenchymal cell properties, leading to dissemination and metastasis. The characteristic features of EMT include changes in epithelial characteristics, such as decreased expression of E-cadherin and &#x03b2;-catenin, and an increase in mesenchymal characteristics, such as increased expression of fibronectin, vimentin, and proteolytic enzymes, resulting in intercellular reorganization. EMT has been reported to be involved in tumor invasion and its distant spread (
                <xref ref-type="bibr" rid="ref14">Kalluri &amp; Weinberg, 2010</xref>; 
                <xref ref-type="bibr" rid="ref25">Thiery, 2002</xref>). EMT has been observed in HNSCC and is generally associated with a poor prognosis (
                <xref ref-type="bibr" rid="ref4">Cappellesso et al., 2015</xref>; 
                <xref ref-type="bibr" rid="ref12">Jensen et al., 2015</xref>; 
                <xref ref-type="bibr" rid="ref22">Schrader et al., 2015</xref>; 
                <xref ref-type="bibr" rid="ref9">Frederick et al., 2007</xref>). The association of these EMT markers with the HPV status of patients and their prognosis in OPSCC has not been investigated in detail, despite limited studies including a smaller number of patients (
                <xref ref-type="bibr" rid="ref10">HATAkEYAMA et al., 2014</xref>; 
                <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>).</p>
            <p>Podoplanin is a type-1 transmembrane glycoprotein, which in humans, are seen to be expressed in renal podocytes, placenta, skeletal muscle, heart, lungs, myofibroblasts of the salivary glands, breast, mesothelial cells, and osteoblasts (
                <xref ref-type="bibr" rid="ref3">Breiteneder-Geleff et al., 1999</xref>; 
                <xref ref-type="bibr" rid="ref15">Mart&#x00ed;n-Villar et al., 2005</xref>; 
                <xref ref-type="bibr" rid="ref18">Ord&#x00f3;&#x00f1;ez, 2006</xref>). It is generally used as a specific surrogate marker for lymphangiogenesis, as it is exclusively expressed in the lymphatic vessels (
                <xref ref-type="bibr" rid="ref3">Breiteneder-Geleff et al., 1999</xref>).</p>
            <p>Hence this study was conducted with an aim to establish a clinical correlation between p16 expression, lymphatic invasion and Epithelial Mesenchymal Transition (EMT) markers in OPSCC with the T-N status at presentation, response to treatment, survival and metastatic propensity.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Patient characteristics</title>
                <p>The medical records of 141 patients who presented with the diagnosis of OPSCC at the Department of Radiation Oncology, KMC Attavar from the year 2017-2022 were initially evaluated for this longitudinal study after approval from the institutional ethics committee (Kasturba Medical College, Mangalore with IEC KMC MLR 12-2020/419 dated 24/12/2020). As the study involved retrospective analysis of the previously available specimens from treated cancer patients, the consent of the participants was waived off from the institutional ethics committee.</p>
                <p>Of these, 81 patients who had either discontinued treatment, were lost to follow-up, or had inadequate/unavailability of histopathological specimens were excluded, and a final total of 60 patients were available for final evaluation. Staging of the patient was performed according to the 7th edition of the American Joint Committee on Cancer (AJCC)- TNM classification of malignant tumors, using the personal/medical data of the patients, including clinical notes and radiological imaging records, as the p16 expression assessment was performed after the treatment (
                    <xref ref-type="bibr" rid="ref8">Edge et al., 2010</xref>). Tumor and lymph node status were divided into two categories (T1-T2 and T3-T4; N0-N1 and N2-N3, respectively). Other demographic details are also noted.</p>
            </sec>
            <sec id="sec8">
                <title>Immunohistochemistry</title>
                <p>The respective biopsy slides were reviewed with hematoxylin and eosin, and 3-micron thin sections were cut from the tumor blocks with the maximum tumor content and area of deepest invasion. Antibodies to p16, EMT markers (E-cadherin and Vimentin), and podoplanin were used for immunohistochemistry (IHC), and their expression patterns were assessed. Positive controls for all the above-mentioned markers were selected and used for the verification of each marker.</p>
                <p>A strong, diffuse, and homogenous pattern of expression of p16 in both the cytoplasm and nuclei was considered positive p16 expression. E-cadherin, Vimentin and Podoplanin expression was assessed in the area of deepest invasion using 20&#x00d7; magnification in two separate fields with at least 200 tumor cells. E-cadherin and vimentin expression was considered as positive when &gt;20% of the cells showed immunoreactivity. Patients with loss of E-cadherin expression and positive expression of vimentin were taken as EMT positivity. If &gt;10% of the cells showed immunoreactivity to podoplanin antibody, it was considered as positive. The staining pattern of podoplanin was divided into six different types: diffuse and strong, diffuse and moderate, diffuse and weak, focal and strong, focal and moderate, and focal and weak. Patients with diffuse, strong, diffuse, moderate, focal, and strong patterns were considered to have high podoplanin staining. Patients with the remaining patterns were considered to have low or no podoplanin staining. Lymphatic vessel density was assessed in sections stained with anti-PDPN. Using low power, the area with the largest density was chosen, and counting was done using 100&#x00d7; magnification. Lymphatic Vessel Count (LVC) &gt;3 was considered high lymphangiogenesis in the tumor (
                    <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>).</p>
                <p>The IHC-stained slides were assessed separately by two pathologists. To avoid bias during assessment, they had no access to the patients&#x2019; clinical data. During the occurrence of inter-observer variation in assessment, specific slides were made to be viewed together, and their consensus opinion was taken into consideration (
                    <xref ref-type="fig" rid="f1">
Figures 1</xref>-
                    <xref ref-type="fig" rid="f4">4</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Expression of p16.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure1.gif"/>
                </fig>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Expression of E-CADHERIN.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure2.gif"/>
                </fig>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Expression of VIMENTIN.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure3.gif"/>
                </fig>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Expression of PODOPLANIN.</title>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure4.gif"/>
                </fig>
            </sec>
            <sec id="sec9">
                <title>Treatment response and survival parameters</title>
                <p>The treatment response and current disease status of the patients were assessed at 3, 6, and 12 months after the completion of treatment. Treatment response evaluation was based on clinical examination, which was confirmed using radiological imaging whenever there was suspicion. Retrospective data were also analyzed in the same way. Patients were supposed to have had a complete response to treatment when there was no clinical evidence of disease during follow-up. Partial response was defined as a reduction in the size of the primary tumor or node during follow-up. Any increase in the size of the primary/node or appearance of any new primary/node/metastatic lesion elsewhere was defined as a progressive disease. If there was no change in the size of the disease clinically, it was defined as stable disease. Survival parameters including Overall Survival (OS), Progression-Free Survival (PFS), and Locoregional Recurrence-Free Survival (LRRFS) were calculated. Patients who failed to return for follow-up visits were contacted telephonically to assess their disease status. A patient was considered to be lost to follow-up if they failed to respond even after a second phone call.</p>
            </sec>
            <sec id="sec10">
                <title>Statistical analysis</title>
                <p>Data was entered in Microsoft Excel and Statistical Analysis was done with the help of SPSS version 22 (IBM Corp. Released, 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.).</p>
                <p>Descriptive analysis was used to indicate the distribution of the quantitative variables in terms of Mean, Standard Deviation (S.D), median, and interquartile range (IQR). Qualitative variables are defined as percentages by category. The association between p16 expression, EMT, and lymphatic invasion with T status, N status, response to treatment, PFS, OS, and LRRF was calculated using the chi-square
 test.</p>
                <p>Survival analysis was performed, and predictors of survival were identified. The Kaplan Meier graph was used to report the median survival time of patients with oropharyngeal carcinoma. Statistical significance was set at P &lt; 0.05.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="results">
            <title>Results</title>
            <sec id="sec12">
                <title>Demographic data</title>
                <p>The mean age of the 60 patients included in this study was found to be 58.27&#x00b1;10.09 and the median age was 60. The male: female ratio was 9:1 (
                    <xref ref-type="table" rid="T1">
Table 1</xref>). The commonest subsite among the parts of the oropharynx involved in this study was found to be the tonsils (48.3%). Histopathological examination revealed that majority of the patients (60%) had moderately differentiated squamous cell carcinoma (MDSCC), followed by well-differentiated squamous cell carcinoma (WDSCC) (30%), and poorly differentiated squamous cell carcinoma (PDSCC) (10%). 83.4% patients had advanced T stage (T3-T4) and 78.4% patients had advanced N stage (N2-N3) disease. 46 out of 60 patients (76.7%) had Stage IV disease (
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Demographic data 1.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Age (in years)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of patients</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&gt;60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Total</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Mean &#x00b1; SD</bold>
</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">58.27&#x00b1;10.09</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Median</bold>
</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">60</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Range</bold>
</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">47</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Demographic data 2.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of patients</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>GENDER</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">90</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>SUBSITE</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Base of Tongue</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Soft Palate</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Tonsil</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">48.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Uvula</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>HISTOLOGICAL GRADE</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Well-differentiated
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Moderately differentiated</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Poorly differentiated</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>T STAGE</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">T1-T2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">T3-T4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">83.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>N STAGE</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">N0-N1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">N2-N3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>OVERALL STAGE</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">I</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">II</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">III</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">IV</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76.7</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec13">
                <title>Prevalence of hpv infection</title>
                <p>Seven of 60 OPSCC patients (11.7%) in this study had positive p16 expression and hence were deemed to be having HPV-related OPSCC (
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Prevalence of HPV.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">p16 status</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of patients</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Negative</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">88.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Positive</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Total</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec14">
                <title>Immunohistochemical detection and correlations</title>
                <p>42 patients (70%) were found to have e-cadherin expression in this study. Three patients (5.7%) were found to have vimentin expression. Only one patient had EMT positivity. Totally 22 out of 60 patients (36.7%) were found to have high podoplanin expression. In the present study, the median LVC was 3. 34 patients (56.7%) had low LVC.</p>
                <p>85.8% of all p16 positive patients had moderate well-differentiated disease (p=0.616). All the patients (100%) who were p16 + (HPV-associated) were found to be having e-cadherin expression (p=0.065). None of the p16+ patients showed vimentin expression (p=0.518). Only the patient with EMT positivity was p16 negative (p=0.714) (
                    <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Correlation of HPV status with other IHC-marker expressions.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">IHC-Marker Expression</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Total</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HPV-Positive
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HPV-Negative
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>E-Cadherin
</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">42 (70%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35 (66%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.065</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18 (30%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18 (34%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Vimentin</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.7%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.518</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57 (95%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50 (94.3%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>EMT</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.9%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.714</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">59 (98.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">52 (98.1%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Podoplanin</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22 (36.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (28.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20 (37.7%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.329</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">38 (63.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (71.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">33 (62.3%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>LVC</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High (&#x2265;3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (43.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (42.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">23 (43.4%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.978</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low (&lt;3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34 (56.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (57.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30 (56.6%)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>p16 + patients (71.4%) had higher podoplanin expression when compared to p16 &#x2013; patients (62.3%) (p=0.329). 57.1% of p16 positive patients were found to have low LVC count. Six of 7 p16 positive patients had a higher T stage (T3-T4) (p=0.857). All patients who were p16 + were found to have a higher nodal stage of N2-N3 (p=0.139) and consequently, Stage IV disease (p=0.299) (
                    <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
                <p>90.4% Of all patients with E-cadherin positivity had moderate-well differentiated SCC. (p=0.690) Of the 42 patients who were positive for e-cadherin, 35 patients (83.4%) had a higher T stage (T3-T4) (p=1), 33 patients (78.6%) had advanced nodal disease (N2-N3) (p=0.945) and 34 patient (81%) had Stage IV disease (p=0.091). All patients having vimentin expression had moderate-well differentiated SCC, higher T Stage (T3-T4), advanced nodal disease (N2-N3) and Stage III-IV disease. Only one patient had EMT positivity and was found to have WDSCC, higher T Stage (T3-T4), high nodal Stage (N2-N3) and Stage IV disease.</p>
                <p>71.8% Of all patients with high staining, 71.8 podoplanin had moderately well-differentiated SCC, whereas 94.7% of patients with low staining for podoplanin had moderately well-differentiated SCC. 86.4% Of all patients with high staining for podoplanin had T3-T4 stage whereas 91.6% of the patients with low staining for podoplanin had T3-T4 stage. 91% of the patients who had high podoplanin expression were found to have higher Nodal Stage (N2-N3). 86.3% Of the patients who showed high podoplanin expression were found to have Stage IV disease, whereas 71% of patients who showed low podoplanin expression were found to have Stage IV disease (
                    <xref ref-type="table" rid="T5">
Table 5</xref>).</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Correlation of IHC-Marker expressions with respective demographic data.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">IHC-Marker Expression</th>
                                <th align="left" colspan="4" rowspan="1" valign="top">Histological Grade</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Tumour status</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Nodal status</th>
                                <th align="left" colspan="4" rowspan="1" valign="top">Stage</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">
WDSCC</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
MDSCC</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
PDSCC</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
p</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
T1-T2</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
T3-T4</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
p</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
N0-N1</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
N2-N3</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
p</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
II</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
III</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
IV</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
p</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">

                                    <bold>p16</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive (n=7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (42.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (42.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (14.2%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.616</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (14.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (85.8%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.857</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.139</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.299</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative (n=53)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15 (28.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">33 (62.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (9.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (16.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44 (83.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (24.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40 (75.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (20.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39 (73.6%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>E-cadherin
</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive (n=42)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (33.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24 (57.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (9.5%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (16.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35 (83.4%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (21.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">33 (78.6%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.945</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (7.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (11.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34 (81%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.091</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative (n=18)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (22.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12 (66.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (11.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (16.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15 (83.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (22%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (78%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (33.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12 (66.7%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Vimentin</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive (n=3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (33.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (66.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.839</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.427</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (33.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (66.7%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.746</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative (n=57)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17 (29.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34 (59.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (10.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (17.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">47 (82.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (22.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44 (77.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (17.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44 (77.2%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>EMT</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive (n=1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (100%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.305</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.602</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.596</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (100%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.856</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative (n=59)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17 (28.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36 (61%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (10.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (16.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49 (83.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (22%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46 (78%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (18.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45 (76.3%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Podoplanin</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive (n=22)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (22.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (59%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (18.2%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (13.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19 (86.4%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.632</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20 (91%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.072</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (4.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (9.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19 (86.3%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.357</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative (n=38)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (34.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">23 (60.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (18.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">31 (91.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (28.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27 (71.1%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.3%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (23.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27 (71%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>LVC</bold>
</td>
                                <td colspan="14" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High (n=26)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (30.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15 (57.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (11.5%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.923</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (11.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">23 (88.5%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.351</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (19.2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21 (80.8%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.688</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (3.8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (15.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21 (80.8%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.44</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Low (n=34)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (29.4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21 (61.7%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (8.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (20.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27 (79.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (23.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (76.5%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.9%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (20.6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25 (73.5%)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Of% patients with low LVC had T3-T4 stage whereas 88.5% patients with high LVC had T3-T4 stage. 76.5% Of patients with low LVC had N2-N3 disease, whereas 80.8% of patients with high LVC had N2-N3 stage. Of% patients with low LVC had moderately well-differentiated SCC, whereas 88.5% of patients with high LVC had moderately well-differentiated SCC. 80.8% Of patients a high LVC had Stage III-IV disease. Of% patients who had low LVC had Stage III-IV disease (
                    <xref ref-type="table" rid="T5">
Table 5</xref>).</p>
            </sec>
            <sec id="sec15">
                <title>Survival analysis and correlations</title>
                <p>Of the 60 patients included in this study, 11 received palliative treatment. These patients were excluded, and the remaining 49 were included in the survival analysis. Of these 49 patients, only 23 showed a complete response after treatment. Hence, only these patients were considered in the calculation of the LRRFS.</p>
                <p>Median OS for p16 positives patients was 14 months (IQR: 3-30 months) and the median OS among p16 negative subjects was 10 months (IQR: 5.75 &#x2013; 12.25 months). 1-year OS rate was found to be significantly higher in p16-positive patients when compared to the of p16-negative patients (80% vs. 44.1%, p=0.045).</p>
                <p>Median PFS for p16 positive patients was 6 months (IQR: 3-30 months) and the median PFS among p16 negative patients was 9.5 months (IQR: 3.75 &#x2013; 12.25 months). 1-year PFS rate in p16-positive patients in our study was found to be 60% whereas, in p16-negative patients, it was found to be 31.8%.</p>
                <p>The median LRRFS for p16 positive patients was 29 months (IQR: 17-29 months), and the median LRRFS among p16 negative patients was 12 months (IQR: 9.5&#x2013; 18.5 months). 1-year LRRFS rate of p16-positive patients was found to be 75%, whereas it was 42% in p16-negative patients (
                    <xref ref-type="table" rid="T6">
Table 6</xref>, 
                    <xref ref-type="fig" rid="f5">
Figures 5</xref>-
                    <xref ref-type="fig" rid="f7">7</xref>).</p>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>
Table 6. </label>
                    <caption>
                        <title>Correlation of HPV status with Survival parameters.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Survival parameter</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HPV-Positive
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HPV-Negative
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Total</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
p</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>OS at 1 year</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Not Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (20%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29 (65.9%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">49</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.045</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (80%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15 (34.1%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>PFS at 1 year</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Not Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (40%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30 (68.2%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">49</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.209</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (60%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (31.8%)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>LRRF at 1 year</bold>
</td>
                                <td colspan="4" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Not Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (25%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (57.8%)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">23</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.714</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Survived</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (75%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (42.2%)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>
Figure 5. </label>
                    <caption>
                        <title>Kaplan Meier Curve 1 -
 Correlation of OS at 12 months with p16 status.</title>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure5.gif"/>
                </fig>
                <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                    <label>
Figure 6. </label>
                    <caption>
                        <title>Kaplan Meyer Curve 2 -
 Comparison of PFS at 12 months with p16 status.</title>
                    </caption>
                    <graphic id="gr6" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure6.gif"/>
                </fig>
                <fig fig-type="figure" id="f7" orientation="portrait" position="float">
                    <label>
Figure 7. </label>
                    <caption>
                        <title>Kaplan Meier Curve 3 -
 Correlation of LRRFS at 12 months with p16 status.</title>
                    </caption>
                    <graphic id="gr7" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175967/927cb6ef-3507-42ba-8324-4084b75000d9_figure7.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec16" sec-type="discussion">
            <title>Discussion</title>
            <p>According to previous studies, patients with HPV-associated OPSCC have been found to have aggressively growing tumors with advanced nodal disease at presentation, despite having a relatively better prognosis after primary treatment. Our study is in agreement with this finding.</p>
            <p>A study conducted by Brittany J. Cline et al including 31702 patients revealed that the mean age at diagnosis was 60.3 years of which 77.1% were males and 22.9% were females (
                <xref ref-type="bibr" rid="ref5">Cline et al., 2020</xref>). Similarly, in the present study, the mean age at diagnosis was found to be 58.2. Ninety% of patients in our study were males, and the remaining 10% were females. According to a study by Tristan tham et al including 23297 OPSCC patients, the majority (96.4%) of the patients belonged to the subsite of tonsil. In the same study, it was found that the most common histological grade was poorly differentiated SCC (38.9%), followed by moderately differentiated SCC (31.1%) (
                <xref ref-type="bibr" rid="ref24">Tham et al., 2020</xref>). In our study, the most common site was found to the tonsil (48.3%). The most common histological grade in our study was moderately differentiated SCC (60%) followed by well-differentiated SCC (30%).</p>
            <p>Compared to our Indian community, the prevalence of HPV association in OPSCC in the Western population was substantially higher. the current HPV prevalence in OPSCC in the US population is 70%, according to the CDC. The prevalence pattern of HPV infection related to OPSCC was as follows in a study by Catherine de Martel et al. to quantify the worldwide burden of cancer attributable to infections done in the year 2008 encompassing 12.7 million cases: North America, 56%; Northern and Western Europe-39%, Eastern Europe-38%, Southern Europe-17%, Australia-45%, Japan-52%, and rest of the globe-13% (
                <xref ref-type="bibr" rid="ref6">de Martel et al., 2012</xref>). Research conducted in India by Bahl et al. revealed 105 individuals with oropharyngeal cancer had a 22.8% HPV positive rate (
                <xref ref-type="bibr" rid="ref2">Bahl et al., 2014</xref>). Similar incidence rates of 20% and 15% were observed for Indian patients with oropharyngeal cancer by Murthy et al and Sannigrahi et al, respectively (
                <xref ref-type="bibr" rid="ref17">Murthy et al., 2016</xref>; 
                <xref ref-type="bibr" rid="ref20">Sannigrahi et al., 2016</xref>). In our investigation, it was shown that 11.7% of OPC had HPV infection. The slight variations in prevalence rates may be attributable to the chosen detection technique, which may include HPV DNA in situ hybridization, HPV DNA polymerase chain reaction, or immunohistochemistry (IHC) for the interpretation of p16 expression.</p>
            <p>Wakisaka et al. conducted a study that included 53 OPC patients, in which 58.4% had strong E-cadherin expression, 64.1% had strong vimentin expression, 33.9% had EMT, and 62.2% had higher expression of podoplanin. In the present study, the median LVC was 9. Based on this value, 51% of the patients had low LVC count (
                <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>). In our study, the prevalence of strong E-cadherin expression was found to be 70%, and that of vimentin was found to be 5.7%. Only one patient (1.9%) had EMT positivity. 37.7% patients had High staining for podoplanin. In the present study, the median LVC was 3. According to this value, 56.6% of the patients had low LVC.</p>
            <p>The influence of these parameters on the HPV status has been studied in multiple literature worldwide. However, few studies pertain to the Indian subpopulation. In a study by Wakisaka et al., 40.9% of all the HPV positive patients were found to have strong expression of E-cadherin, 90.9% were found to have vimentin expression, 60% were found to have EMT positivity, 63.6% were found to have low staining for podoplanin, and 63.6% were found to have low LVC. The same values for the HPV negative patients in their study were 70.9%, 45.2%, 19.4%, 9.7%, and 61.3%, respectively. In their study, 35.8% of the patients were found to have higher T stage (T3-4), 60.3% had higher N stage (N1-N3) and 75.4% had advanced stage disease (Stage III-IV).31.8% of HPV positive patients had T3-T4 stage, 77.2% had N1-N3 disease and 81.8% had Stage III-IV disease (
                <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>). In our study, out of all HPV positive patients, all the patients had E-cadherin expression (100%), none of the patients had vimentin expression, 100% had EMT positivity (only one patient had EMT positivity in the total sample), 71.4% were found to have low staining for podoplanin, and 85.7% had low LVC (Median LVC=9). The same values for HPV negative patients in our study were 66%, 100%, 0%, 62.3%, and 86.8%, respectively. Among the HPV positive patients present in our study, 85.8% had T3-T4 stage, 100% of the patients had N2-N3 disease and 95% had Stage IV disease. The low prevalence of vimentin is the primary reason why EMT was observed in only one patient. It is also evident that, although statistically insignificant, there is a definite correlation between positive E-cadherin expression and lower podoplanin staining with the association of HPV.</p>
            <p>In a study by Hesham Mohammed et al. including 202 patients, out of all the E-cadherin positive patients, 53.1% had moderate well-differentiated disease, 42.3% had T3-T4 stage, 79% had N1-N3 stage and 82.1% had Stage III-IV disease. Out Of all the Vimentin positive patients in their study, 49.5% had moderate well-differentiated disease, 49.5% had T3-T4 stage, 79.1% had N1-N3 stage and 82.4% had stage III-IV disease (
                <xref ref-type="bibr" rid="ref16">Mohamed et al., 2020</xref>). In our study, among all the E-cadherin positive patients, 90.5% had moderate well-differentiated disease, 83.4% had T3-T4 stage, 78.6% had N2-N3 stage and 92.9% had stage III-IV disease. All vimentin-positive patients in our study had T3-T4 stage, N2-N3 stage and Stage IV disease. It is clear from this that Vimentin expression can be considered as a prognostic indicator for an advanced disease.</p>
            <p>Various studies have shown that podoplanin expression corresponds to nodal progression, and thereby, to advanced disease (
                <xref ref-type="bibr" rid="ref26">Wakisaka et al., 2015</xref>). In our study, among the patients with higher Podoplanin expression, 81.8% had moderate well-differentiated disease, 86.4% had T3-T4 stage, 91% had N2-N3 disease and 86.3% had Stage IV disease. The same values for patients with low podoplanin expression were 94.7%, 91.6%, 71.1%, and 71%, respectively. These data are in good agreement with literature data showing that podoplanin can be considered a surrogate marker for lymphatic progression.</p>
            <p>Posner et al studied (TAX 324) the association between HPV status and survival parameters in 264 patients with OPC. The respective tumor biopsies were subjected to PCR for HPV type 16 and assessed for correlation with demographic characteristics, OS, and PFS. Out Of the 264 patients, 42% had biopsy specimens which were evaluable of which 50% were found to be HPV-associated. 1 year-OS and PFS rates in HPV-related patients were significantly better than those in HPV-negative patients [93% vs. 69% (OS), 85% vs. 52% () respectively]. HPV-positive patients also had significantly better locoregional control than the HPV-negative patients (locoregional failure: 13% vs. 42%) (
                <xref ref-type="bibr" rid="ref19">Posner et al., 2011</xref>). Gypsyamber D&#x2019;Souza et al. conducted a study that included 1356 patients, of which 517 were OPSCC and which 184 patients (35.6%) were found to be HPV-positive. HPV-positive patients had a significantly lower risk of mortality than HPV-negative patients. 3-year OS was significantly better in in HPV-positive patients (82%) when compared to HPV-negative patients (45%) (
                <xref ref-type="bibr" rid="ref7">D&#x2019;Souza et al., 2016</xref>). In 2015, Arya et al. compared the HPV status of 3952 OPSCC patients with their respective OS rates. In this study, 62% patients were found to be HPV-positive. 2-year Overall Survival rate of HPV-positive patients was significantly higher compared to that of HPV-negative patients (93.1% vs. 77.8%) (
                <xref ref-type="bibr" rid="ref1">Amini et al., 2016</xref>). In our study, it was found that p16-positive patients had significantly higher 1-year OS rates when compared to that of p16-negative patients (80% vs. 44.1%, p = 0.045). Although not statistically significant, the 1-year PFS and 1-year LRRF survival rates were also found to be evidently improved among HPV-positive patients [60% vs 31.8% (PFS), 75% vs 42.2% (LRRFS)].</p>
            <p>Based on the results of our study, we concluded that HPV-positive status in OPSCC patients is significantly correlated with advanced nodal disease at presentation and improved clinical outcomes. Although not statistically significant, loss of podoplanin expression was found to have a clear correlation with nodal progression in HPV-positive status, similar to previous studies. In contrast to other studies, loss of E-cadherin, Vimentin expression and EMT positivity were not found to have any significant correlation with p16 expression. The improved survival pattern observed among HPV-positive patients was in agreement with previous studies. Hence, more intensive research is required to determine the exact molecular mechanisms involved in HPV-associated OPSCC. De-intensification of definitive treatment schedules can be considered for HPV-positive OPSCC after the results of prospective trials are available. HPV prevalence can be evaluated using better diagnostic methods, such as HPV PCR or HPV ISH, to obtain more accurate results. Moreover, further studies need to focus on using E-cadherin, Vimentin and Podoplanin as prognostic markers for HPV-negative patients.</p>
        </sec>
        <sec id="sec17">
            <title>Ethics and consent</title>
            <p>approval from the institutional ethics committee (Kasturba Medical College, Mangalore with IEC KMC MLR 12-2020/419 dated 24/12/2020). As the study involved retrospective analysis of the previously available specimens from treated cancer patients, the consent of the participants was waived off from the institutional ethics committee.</p>
        </sec>
    </body>
    <back>
        <sec id="sec20" sec-type="data-availability">
            <title>Data availability statement</title>
            <sec id="sec21">
                <title>Underlying data</title>
                <p>Figshare Repository: Underlying data for &#x201c;Clinical correlation of p16 expression with lymphatic invasion and epithelial-mesenchymal transition (EMT) in oropharyngeal carcinomas&#x201d;, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.28099709.v1">https://doi.org/10.6084/m9.figshare.28099709.v1</ext-link> (
                    <xref ref-type="bibr" rid="ref27">Athiyamaan, 2024</xref>).</p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Book1 edited hpv.xlsx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
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    </back>
    <sub-article article-type="reviewer-report" id="report411051">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.175967.r411051</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Sequeira</surname>
                        <given-names>Lanisha</given-names>
                    </name>
                    <xref ref-type="aff" rid="r411051a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r411051a1">
                    <label>1</label>Father Muller Medical College, Mangalore, India</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>11</day>
                <month>9</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Sequeira L</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport411051" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.160134.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Only one patient demonstrated EMT positivity, making it difficult to draw meaningful correlations. The authors can include a line in discussion.</p>
            <p> </p>
            <p> p16 IHC alone was used as a surrogate for HPV infection. Since p16 can sometimes yield false positives, combining IHC with molecular methods (e.g., PCR, ISH) would have strengthened the conclusions. This limitation should be clearly stated.</p>
            <p> </p>
            <p> Survival analysis is interesting, but the difference in PFS and LRRFS is not significant. This needs clearer explanation.</p>
            <p> </p>
            <p> Page 10 : The text &#x201c;
                <italic>Ninety% of patients </italic>Should be: 
                <italic>&#x201c;Ninety percent&#x201d; </italic>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Head and Neck Cancers, Brachytherapy, Medical Physics, Gynaecological Cancers</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report408139">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.175967.r408139</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>H Chuwa</surname>
                        <given-names>Agapiti</given-names>
                    </name>
                    <xref ref-type="aff" rid="r408139a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7325-1167</uri>
                </contrib>
                <aff id="r408139a1">
                    <label>1</label>University of Dar es Salaam, Mbeya, Tanzania</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>9</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 H Chuwa A</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport408139" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.160134.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Summary:</p>
            <p> The manuscript addresses an important clinical question using retrospective IHC data from 60 OPSCC patients at an Indian tertiary center. It correlates p16 expression with EMT and lymphangiogenesis markers, staging, and survival, with only 7 patients (11.7%) p16-positive showing better one-year outcomes. While regionally relevant and ethically approved, the very small p16+ subgroup limits interpretation. Substantial methodological clarification and revised statistical analyses are required to make the article scientifically sound.</p>
            <p> </p>
            <p> Major Issues:</p>
            <p> 1. Clarity and accuracy: 
                <list list-type="bullet">
                    <list-item>
                        <p>The manuscript is generally readable and references several relevant works, though many are outdated. Issues include inconsistencies in reported numbers (e.g., conflicting LVC medians), use of the outdated AJCC 7th edition rather than the 8th edition (which redefined p16/HPV staging in OPSCC), and discussion sections that overstate findings given the very small p16+ subgroup.</p>
                    </list-item>
                    <list-item>
                        <p>Justify use of AJCC 7th edition or, preferably, restage according to AJCC 8th.</p>
                    </list-item>
                    <list-item>
                        <p>Specify LVC fields (state field size).</p>
                    </list-item>
                    <list-item>
                        <p>Correct the contradiction regarding median LVC (Methods/Results: 3 vs. Discussion: 9) and ensure consistency across text, tables, and figures.</p>
                    </list-item>
                </list> 2. Study design: 
                <list list-type="bullet">
                    <list-item>
                        <p>The retrospective IHC approach is acceptable for exploratory correlations, but the exclusion of 81/141 patients raises concerns about selection bias. Very small event counts (p16+ n=7) undermine statistical power, and some analyses (e.g., Chi-square) are inappropriate for such small expected cell counts. Insufficient IHC technical details further limit reproducibility.</p>
                    </list-item>
                </list> 3.&#x00a0; Methods: 
                <list list-type="bullet">
                    <list-item>
                        <p>Although sharing the dataset on Figshare is commendable, the IHC protocol requires significant expansion. Missing details include: antibody clones, catalogue numbers, suppliers, dilutions, antigen retrieval (buffer, pH, heating), justification of scoring thresholds (&gt;20% for E-cadherin/vimentin, &gt;10% for podoplanin), staining controls, and inter-observer agreement. The algorithm for LVC counting (number and size of fields) also requires clarification. While p16 IHC is an accepted surrogate for HPV, the absence of confirmatory HPV PCR or ISH should be acknowledged and emphasized as a limitation.</p>
                    </list-item>
                </list> 4. Analyses:</p>
            <p> Kaplan&#x2013;Meier analysis is appropriate, but: 
                <list list-type="bullet">
                    <list-item>
                        <p>Exclusion of 11 palliative patients must be justified.</p>
                    </list-item>
                    <list-item>
                        <p>Chi-square tests with very small cell counts are invalid; Fisher&#x2019;s exact test or an alternative approach should be used.</p>
                    </list-item>
                    <list-item>
                        <p>No multivariable analysis (e.g., Cox regression) was performed to adjust for confounders; if not feasible, explain why.</p>
                    </list-item>
                    <list-item>
                        <p>Censoring rules, dates of last follow-up, and numbers at risk should be specified.</p>
                    </list-item>
                    <list-item>
                        <p>Report exact p-values and provide confidence intervals for small subgroups.</p>
                    </list-item>
                </list> 5. Data availability: 
                <list list-type="bullet">
                    <list-item>
                        <p>The deposition of the dataset on Figshare is a strength, but replication of findings requires inclusion of the full IHC protocol as outlined above.</p>
                    </list-item>
                </list> 6. Conclusions: 
                <list list-type="bullet">
                    <list-item>
                        <p>The association of p16 positivity with improved one-year OS is supported by the dataset, but the very small subgroup (n=7) and potential biases severely limit inference. Statements suggesting treatment de-intensification are premature and should be moderated.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Oncology, Gynecologic oncology, Reproductive medicine, Molecular physiology.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
