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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1539263</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>REST corepressor 2 contributes to the cell proliferation of endometrial cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Qingjuan</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2913270/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Xin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lv</surname>
<given-names>Yuchun</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>N19 District Gynecology, Quanzhou First Hospital, Fujian Medical University</institution>, <addr-line>Quanzhou, Fujian</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/133992/overview">Bramanandam Manavathi</ext-link>, University of Hyderabad, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2291708/overview">Suryaa Manoharan</ext-link>, Bharathiar University, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2864078/overview">Akhileshwar Namani</ext-link>, Sri Shankara Cancer Hospital and Research Centre, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qingjuan Zhu, <email xlink:href="mailto:18959779688@163.com">18959779688@163.com</email>; Yuchun Lv, <email xlink:href="mailto:Lychun1968@163.com">Lychun1968@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1539263</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhu, Yang and Lv.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhu, Yang and Lv</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Uterine corpus endometrial cancer (UCEC) is a prevalent gynecological malignancy. REST corepressor 2 (RCOR2), a nuclear transcription co-repressor, has been implicated in various cellular processes. However, its regulatory role in UCEC progression remains unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>RCOR2 expression levels were analyzed in UCEC tissues and cell lines using qPCR, Western blotting. Functional assays, including CCK8 and colony formation assays, were used to assess the impact of RCOR2 knockdown or overexpression on UCEC cell viability and proliferation.</p>
</sec>
<sec>
<title>Results</title>
<p>RCOR2 expression was significantly elevated in UCEC tissues compared to adjacent normal tissues. High RCOR2 expression correlated with advanced clinical stage, high histologic grade, and lymph node metastasis. ROC analysis indicated strong diagnostic value. RCOR2 expression showed a positive correlation with proliferation-related genes MKI67, CCND1, and PCNA. Functional assays revealed that RCOR2 knockdown suppressed, while overexpression promoted, proliferation of endometrial cancer cells. These effects were validated by CCK8 and colony formation assays, as well as changes in mRNA and protein levels of MKI67, CCND1, and PCNA, supporting RCOR2&#x2019;s role in regulating UCEC cell proliferation.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>These findings suggest that RCOR2 promotes endometrial cancer progression by enhancing tumor cell proliferation and may serve as a potential diagnostic and therapeutic target in UCEC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>RCOR2</kwd>
<kwd>endometrial cancer</kwd>
<kwd>UCEC</kwd>
<kwd>viability</kwd>
<kwd>proliferation</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="11"/>
<word-count count="3608"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Molecular and Cellular Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Endometrial cancer, also known as Uterine Corpus Endometrial Carcinoma (UCEC), is the most common malignancy of the female reproductive system, with a global incidence rate of approximately 4.4% (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The increasing incidence, mortality rates and 10-20% developing distant recurrence, present a significant public health challenge of UCEC (<xref ref-type="bibr" rid="B3">3</xref>). This highlights the urgent need for dissecting the molecular mechanisms driving UCEC and the exploring novel therapeutic methods.</p>
<p>One potential molecular target is RCOR2 (REST corepressor 2), a nuclear transcription co-repressor that functions primarily as a transcriptional repressor and is involved in maintaining the pluripotency of embryonic stem cells and regulating neurogenesis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Preliminary bioinformatics analyses have indicated that RCOR2 is overexpressed in various cancers, including UCEC. This overexpression has been associated with poor prognosis in cancer patients (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Additionally, RCOR2 has been implicated in the regulation of immune responses (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), further suggesting its potential role in tumorigenesis and cancer progression.</p>
<p>Recent studies have provided insights into the mechanisms by which RCOR2 may contribute to cancer. In acute myeloid leukemia (AML), RCOR2 was found to be upregulated in B7-H4-null cells, and its knockdown resulted in reduced leukemogenesis (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B10">10</xref>). This suggests that RCOR2 may promote cancer cell survival and proliferation by modulating key signaling pathways. In the context of UCEC, however, the specific functions and mechanisms of RCOR2 remain to be elucidated.</p>
<p>To address this gap in knowledge, this study aims to investigate the expression and functional role of RCOR2 in UCEC. Specifically, we seek to determine whether RCOR2 is upregulated in UCEC tissues and cell lines and to assess its impact on UCEC cell viability and proliferation. By investigating the expression and functional role of RCOR2 in UCEC, this study provided valuable insights of RCORs in UCEC progression.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Patient samples</title>
<p>The pairs of UCEC tumor tissue samples and the adjacent tissue samples were collected from 174 patients. Written informed consent was obtained from all participants, and the study was approved by the Quanzhou First Hospital. The patients underwent surgical procedures without any chemotherapy or radiation treatment. Two independent pathologists reviewed and confirmed the diagnoses according to the standards established by the FIGO (<xref ref-type="bibr" rid="B11">11</xref>). Histopathological evaluation confirmed the diagnosis of UCEC in all samples. Tissues were frozen in liquid N<sub>2</sub> and then stored at -80&#xb0;C for the following analysis.</p>
</sec>
<sec id="s2_2">
<title>Cell culture and <italic>RCOR2</italic> knockdown and overexpression</title>
<p>The UCEC cell line Ishikawa (ISK) and HEC-1A were obtained from the American Type Culture Collection (ATCC). Cells were cultured in DMEM/F12 medium (Gibco, Carlsbad, USA) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin&#x2013;streptomycin, and maintained at 37&#xb0;C in a humidified 5% CO<sub>2</sub> incubator.</p>
<p>For RCOR2 knockdown, siRNAs targeting RCOR2 (Catalog #EHU031001) and control siRNAs were purchased from Sigma-Aldrich (St. Louis, USA). ISK cells were seeded at 5 &#xd7; 10<sup>4</sup> cells per well in 6-well plates and incubated for 24 hours. Transfection was carried out using Lipofectamine 2000 (ThermoFisher Scientific, Waltham, MA) according to the manufacturer&#x2019;s instructions, with a final siRNA concentration of 50 nM.</p>
<p>For RCOR2 overexpression, an adenovirus expressing human RCOR2 (ad-RCOR2) was obtained from Vector Biolabs (Malvern, USA). ISK cells were infected at a multiplicity of infection (MOI) of 50 in serum-free medium for 6 hours, followed by replacement with complete medium for continued culture.</p>
</sec>
<sec id="s2_3">
<title>RNA extraction and gene expression analysis</title>
<p>Total RNA was extracted from tissue samples and cultured cells by using the Trizol (Invitrogen, Waltham, MA) according to the manufacturer&#x2019;s instructions. The RNA was then reverse transcribed to cDNA using the SuperScript II RT kit (TAKARA BIO INC., Kusatsu, Japan). qPCR was performed using TaqMan Gene Expression Assays (ThermoFisher, Waltham, MA) on an ABI 7500 Real-Time PCR System (ThermoFisher, Waltham, MA). The target genes expression levels were calculated by using the 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method. Primers&#x2019; sequences were listed below:</p>
<list list-type="simple">
<list-item>
<p>
<italic>CCND1</italic>,</p>
</list-item>
<list-item>
<p>Forward: GCTGCGAAGTGGAAACCATC,</p>
</list-item>
<list-item>
<p>Reverse: CCTCCTTCTGCACACATTTGAA.</p>
</list-item>
<list-item>
<p>
<italic>MKI67</italic>,</p>
</list-item>
<list-item>
<p>Forward: CTTTGGGTGCGACTTGACG,</p>
</list-item>
<list-item>
<p>Reverse: GTCGACCCCGCTCCTTTT.</p>
</list-item>
<list-item>
<p>
<italic>PCNA</italic>,</p>
</list-item>
<list-item>
<p>Forward: GGCTCTAGCCTGACAAATGC,</p>
</list-item>
<list-item>
<p>Reverse: GCCTCCAACACCTTCTTGAG.</p>
</list-item>
<list-item>
<p>
<italic>GAPDH</italic>,</p>
</list-item>
<list-item>
<p>Forward: GTCACCAGGGCTGCTTTTAAC,</p>
</list-item>
<list-item>
<p>Reverse: TGATGGGATTTCCATTGATGA.</p>
</list-item>
<list-item>
<p>
<italic>RCOR2</italic>,</p>
</list-item>
<list-item>
<p>Forward: CACTCGCACGACAGCATGAT,</p>
</list-item>
<list-item>
<p>Reverse: CATCGCAATGTACTTGTCAAGC.</p>
</list-item>
</list>
</sec>
<sec id="s2_4">
<title>Western blot</title>
<p>Proteins were extracted by RIPA buffer (ThermoFisher) and quantified using the BCA protein assay (Beyotime Biotechnology, Shanghai, China). Fouty &#xb5;g of total protein samples were loaded and separated through the SDS-PAGE gel, and then transferred to PVDF membranes (ThermoFisher). Membranes were blocked firstly and then incubated overnight with 1<sup>st</sup> antibodies that Anti-RCOR2 (1:1500, Abcam, #ab37113), Anti-&#x3b2;-Actin (1:2000, Abcam), Anti-Ki67 (SP6, 1:1000, Abcam, #ab16667), Anti-Cyclin D1 (SP4, 1:1000, Abcam, #ab16663), Anti-PCNA (PC10, 1:1000, Abcam).</p>
</sec>
<sec id="s2_5">
<title>Cell proliferation assay</title>
<p>Cell proliferation was assessed using the Cell Counting Kit-8 (CCK8, C0038, Beyotime Biotechnology) and colony formation assays. Briefly, cells were seeded in 96-well plates at a density of 2&#xd7;10<sup>3</sup> cells per well. After transfection with si-RCOR2 or ad-RCOR2 for 24, 48, and 72 hours, CCK8 solution (10 &#xb5;L) was added to wells and incubated for 2hr. Microplate reader was used for the measurement at 450 nm.</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>Data were presented as mean &#xb1; standard deviation (SD). Statistical analyses were performed using GraphPad Prism 9.0. Comparisons between groups were made using Student&#x2019;s <italic>t</italic>-test, Fisher&#x2019;s exact test, Chi-square test or Brown-Forsythe ANOVA test.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>RCOR2 expression was elevated in UCEC</title>
<p>To determine the expression of RCOR2 in UCEC, qPCR and WB analyses were conducted on 174 patients&#x2019; tissue samples. Based on the mRNA expression level of RCOR2, tumor tissues were categorized into low and high expression groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The clinical and pathological characteristics of patients in the high-RCOR2 expression group were compared to those in the low-RCOR2 expression group. It was observed that RCOR2 expression was significantly associated with clinical stage, histologic grade, and lymph node metastasis (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The qPCR results revealed that RCOR2 expression were significantly elevated in UCEC tissues compared to adjacent control tissues (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). ROC analysis further demonstrated the predictive value of RCOR2 expression, with sensitivity and specificity at the maximum Youden index (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Similarly, Western blot analysis confirmed the overexpression of RCOR2 protein in UCEC tissues (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>
<italic>RCOR2</italic> mRNA expression and clinicopathological factors in endometrial cancer patients (n = 174).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variables</th>
<th valign="middle" colspan="2" align="center">
<italic>RCOR2</italic> mRNA</th>
<th valign="middle" rowspan="2" align="center">p value</th>
</tr>
<tr>
<th valign="middle" align="center">Low expression (n = 87)</th>
<th valign="middle" align="center">High expression (n = 87)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">Age (years)</th>
</tr>
<tr>
<td valign="middle" align="center">&lt; 55</td>
<td valign="middle" align="center">37 (42.5%)</td>
<td valign="middle" align="center">28 (32.2%)</td>
<td valign="middle" rowspan="2" align="center">0.209</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265; 55</td>
<td valign="middle" align="center">50 (57.5%)</td>
<td valign="middle" align="center">59 (67.8%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Clinical stage</th>
</tr>
<tr>
<td valign="middle" align="center">I-II</td>
<td valign="middle" align="center">61 (70.1%)</td>
<td valign="middle" align="center">43 (49.4%)</td>
<td valign="middle" rowspan="2" align="center">0.013</td>
</tr>
<tr>
<td valign="middle" align="center">III-IV</td>
<td valign="middle" align="center">26 (29.9%)</td>
<td valign="middle" align="center">44 (50.6%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Histologic grade</th>
</tr>
<tr>
<td valign="middle" align="center">G1</td>
<td valign="middle" align="center">37 (42.5%)</td>
<td valign="middle" align="center">22 (25.3%)</td>
<td valign="middle" rowspan="3" align="center">0.034</td>
</tr>
<tr>
<td valign="middle" align="center">G2</td>
<td valign="middle" align="center">27 (31.1%)</td>
<td valign="middle" align="center">29 (33.3%)</td>
</tr>
<tr>
<td valign="middle" align="center">G3</td>
<td valign="middle" align="center">23 (26.4%)</td>
<td valign="middle" align="center">36 (41.4%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Lymph node metastasis</th>
</tr>
<tr>
<td valign="middle" align="center">Non-metastasis</td>
<td valign="middle" align="center">62 (71.3%)</td>
<td valign="middle" align="center">47 (54.0%)</td>
<td valign="middle" rowspan="2" align="center">0.028</td>
</tr>
<tr>
<td valign="middle" align="center">Metastasis</td>
<td valign="middle" align="center">25 (28.7%)</td>
<td valign="middle" align="center">40 (46.0%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Tumor invasion</th>
</tr>
<tr>
<td valign="middle" align="center">&lt; 50%</td>
<td valign="middle" align="center">54 (62.1%)</td>
<td valign="middle" align="center">45 (51.7%)</td>
<td valign="middle" rowspan="2" align="center">0.221</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265; 50%</td>
<td valign="middle" align="center">33 (37.9%)</td>
<td valign="middle" align="center">42 (48.3%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Menopause status</th>
</tr>
<tr>
<td valign="middle" align="center">Pre</td>
<td valign="middle" align="center">9 (10.3%)</td>
<td valign="middle" align="center">6 (6.9%)</td>
<td valign="middle" rowspan="3" align="center">0.618</td>
</tr>
<tr>
<td valign="middle" align="center">Peri</td>
<td valign="middle" align="center">12 (13.8%)</td>
<td valign="middle" align="center">10 (11.5%)</td>
</tr>
<tr>
<td valign="middle" align="center">Post</td>
<td valign="middle" align="center">66 (75.9%)</td>
<td valign="middle" align="center">71 (81.6%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Fisher&#x2019;s exact test or Chi-square test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>RCOR2 was overexpressed in endometrial cancer. <bold>(A, B)</bold> RCOR2 mRNA level in adjacent and tumor tissues of endometrial cancer patients was determined with RT-qPCR (n = 174 for each group). Data was shown with mean &#xb1; SD. ***p &lt; 0.001 from t test. <bold>(C)</bold> ROC analysis of the value of RCOR2 mRNA level in diagnosis of endometrial cancer. <bold>(D)</bold> Representative Western blots of RCOR2 between adjacent and tumor tissues of endometrial cancer patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g001.tif">
<alt-text content-type="machine-generated">Four-panel figure showing RCOR2 analysis. Panel A: Scatter plot comparing relative RCOR2 mRNA in adjacent and tumor tissues, with a significant increase in tumor tissue (p &lt; 0.001). Panel B: Line graph showing paired mRNA levels in adjacent and tumor tissues, indicating a significant increase in tumor tissue (p &lt; 0.001). Panel C: ROC curve with sensitivity at 74.14 percent, specificity at 83.33 percent, and AUC of 0.83 showing high diagnostic accuracy (p &lt; 0.001). Panel D: Western blot displaying higher RCOR2 protein expression in tumor tissue compared to adjacent tissue; &#x3b2;-actin serves as a loading control.</alt-text>
</graphic>
</fig>
<p>The relationship between RCOR2 expression and clinical stage, histologic grade, and lymph node metastasis was shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. Specifically, we compared RCOR2 mRNA expression levels in tumor tissues between patients with clinical stages I-II and III-IV (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, D</bold>
</xref>), with and without lymph node metastasis (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B, E</bold>
</xref>), and histologic grades G1-G2 and G3 (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, F</bold>
</xref>). The results show a significant correlation between RCOR2 mRNA expression and clinical stage, histologic grade, and lymph node metastasis. These findings, demonstrating significantly higher RCOR2 mRNA levels in advanced stage, metastatic, and high-grade tumors (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A-C</bold>
</xref>), are consistent with the association of high RCOR2 expression (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) with these adverse clinicopathological features.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>RCOR2 mRNA expression and clinicopathological factors in endometrial cancer patients. <bold>(A)</bold> RCOR2 mRNA expressions between clinical stage of I-II and III-IV from endometrial cancer patients (n = 104 for I-II and n = 70 for III-IV). <bold>(D)</bold> is the diagnostic value of RCOR2 mRNA expressions for clinical stage. <bold>(B)</bold> RCOR2 mRNA expressions in endometrial cancer patients without and with lymph node metastasis (n = 109 for non-metastasis and n = 65 for metastasis). <bold>(E)</bold> is the diagnostic value of RCOR2 mRNA expressions for lymph node metastasis. <bold>(C)</bold> RCOR2 mRNA expressions between histologic grade of G1-G2 and G3 from endometrial cancer patients (n = 115 for G1-G2 and n = 59 for G3). <bold>(F)</bold> is the diagnostic value of RCOR2 mRNA expressions for histologic grade. Data was shown with mean &#xb1; SD. *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001 from t test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g002.tif">
<alt-text content-type="machine-generated">Scatter plots and ROC curves analyzing RCOR2 mRNA. Panels A-C show RCOR2 mRNA levels relative to clinical stage, lymph node metastasis, and histologic grade, with statistical significance marked by asterisks. Panels D-F display ROC curves for these comparisons, including sensitivity, specificity, AUC, and p-values.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<title>RCOR2 contributed to cell proliferation in endometrial cancer patients</title>
<p>Next, we analyzed the relationship between RCOR2 and the proliferation-related genes MKI67, CCND1, and PCNA under the mRNA levels, in endometrial cancer. First, the mRNA expression of all three genes were significantly elevated in tumor tissue samples compared to those in the normal tissue samples (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A-C</bold>
</xref>). Correlation analysis showed that all three genes, MKI67, CCND1, and PCNA, exhibited a significant positive correlation with RCOR2 mRNA expression in endometrial cancer tissues (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D-F</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>RCOR2 contributed to cell proliferation in endometrial cancer patients. <bold>(A-C)</bold> mRNA levels of MKI67, CCND1 and PCNA in adjacent and tumor tissues of endometrial cancer patients was determined with RT-qPCR (n = 174 for each group). Data was shown with mean &#xb1; SD. ***p &lt; 0.001 from t test. <bold>(D-F)</bold> Pearson correlation coefficient analysis was employed to analyze the correlations of RCOR2 mRNA with mRNA levels of MKI67, CCND1 and PCNA in endometrial cancer patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g003.tif">
<alt-text content-type="machine-generated">Six scatter plots and dot plots displaying mRNA levels. A-C: Dot plots compare MKI67, CCND1, and PCNA mRNA levels in adjacent versus tumor tissues, all showing significant increases in tumors (indicated by ***). D-F: Scatter plots show positive correlations between RCOR2 mRNA levels and MKI67 (r = 0.44), CCND1 (r = 0.34), and PCNA (r = 0.32) mRNA levels, with p-values less than 0.001.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>RCOR2 regulated the proliferation of endometrial cancer cells</title>
<p>Functional assays were performed to assess the role of RCOR2 in UCEC cell behavior. RCOR2 knockdown using siRNA significantly reduced cell proliferation in ISK cells, as evidenced by the CCK8 assay (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A-C, G</bold>
</xref>). Conversely, overexpression of RCOR2 using ad-RCOR2, could significantly enhance cell proliferation (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4D-F, H</bold>
</xref>) in ISK cells, while similar trends were identified in HEC-1A cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1A, B</bold>
</xref>). The impact of RCOR2 overexpression and inhibition on endometrial cancer cell proliferation was further evaluated by using colony formation assay. The results showed that overexpression of RCOR2 in ISK cells promoted cell proliferation (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), while inhibition of RCOR2 suppresses cell proliferation (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Moreover, the qPCR results of proliferation-related genes, MKI67 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), CCND1 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>), and PCNA (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>), supported the regulatory effects of ROCR2 on endometrial cancer cell proliferation. Similar results were also found in the HEC-1A cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1C, D</bold>
</xref>). Furthermore, WB showed that RCOR2 knockdown or overexpression could change the expression of MKI67, CCND1, and PCNA in endometrial cancer cells remarkedly (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A-D</bold>
</xref>), which further demonstrated at the protein level that RCOR2 the proliferation of endometrial cancer cells.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>RCOR2 regulated cell viability in Ishikawa (ISK) cells. ISK cells were transfected with si-RCOR2 (50 nM) for 48 h. <bold>(A)</bold> qRT-PCR was used to measure the mRNA levels of RCOR2 and <bold>(B)</bold> representative Western blots of RCOR2. The expressions were normalized to control <bold>(C)</bold>. <bold>(D)</bold> ISK cells were transfected with ad-RCOR2 (MOI50) for 48 h. qRT-PCR was used to measure the mRNA levels of RCOR2 <bold>(E)</bold> and representative Western blots of RCOR2 <bold>(F)</bold>. ISK cells were transfected with si-RCOR2 or ad-RCOR2, cell viability was measured by CCK8 at 24, 48, 72 and 96 hours after the transfection <bold>(G, H)</bold>. Data was shown with mean &#xb1; SD. **p &lt; 0.01, ***p &lt; 0.001 from t test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g004.tif">
<alt-text content-type="machine-generated">Bar graphs and Western blots depict RCOR2 mRNA and protein levels in control, si-RCOR2, and ad-RCOR2 conditions. Graphs A and D show mRNA levels, while B and E provide corresponding Western blots. C and F present protein levels. G and H show cell viability over time, comparing control with si-RCOR2 and ad-RCOR2. Significant differences are indicated with asterisks.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>RCOR2 regulated cell proliferation in ISK cells. ISK cells were transfected with si-RCOR2 (50 nM) or ad-RCOR2 (MOI50), the colony formation assay was conducted 10 days after transfection and the formation of colonies were compared <bold>(A, B)</bold>. Data was shown with mean &#xb1; SD. ***p &lt; 0.001 from t test. ISK cells were transfected with si-RCOR2 or ad-RCOR2 for 48 hours, mRNA levels of MKI67, CCND1 and PCNA were determined with RT-qPCR <bold>(C-E)</bold>. Data was shown with mean &#xb1; SD. *p &lt; 0.05, **p &lt; 0.01. Data was analyzed by Brown-Forsythe ANOVA comparing control and si-RCOR2, control and ad-RCOR2 groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g005.tif">
<alt-text content-type="machine-generated">Bar graphs (A-E) showing the effects of si-RCOR2 and ad-RCOR2 on colony formation and mRNA levels of MKI67, CCND1, and PCNA compared to controls. Statistical significance is indicated by asterisks, with three asterisks for p&lt;0.001, two for p&lt;0.01, and one for p&lt;0.05.</alt-text>
</graphic>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>RCOR2 regulated cell proliferation in ISK cells. ISK cells were transfected with si-RCOR2 (50 nM) or ad-RCOR2 (MOI50), western blotting was used to measure the protein expressions of MKI67, CCND1 and PCNA <bold>(A)</bold>. The expressions were normalized to control <bold>(B-D)</bold>. Data was shown with mean &#xb1; SD. *p &lt; 0.05, **p &lt; 0.01. Data was analyzed by Brown-Forsythe ANOVA comparing control and si-RCOR2, control and ad-RCOR2 groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1539263-g006.tif">
<alt-text content-type="machine-generated">Western blot analysis and bar graphs showing protein expression levels. Panel A displays bands for MKI67, CCND1, PCNA, and &#x3b2;-actin in Control, si-RCOR2, and ad-RCOR2 samples. Panels B, C, and D are bar graphs showing relative expression of MKI67, CCND1, and PCNA, respectively, with statistical significance indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This study provides the first comprehensive evidence that RCOR2 plays an oncogenic role in UCEC, particularly by regulating tumor cell proliferation, and may serve as a novel biomarker and therapeutic target. RCOR2 was significantly upregulated in UCEC tissues at both mRNA and protein levels, and its expression correlated with key clinical features including advanced stage, higher histologic grade, and lymph node metastasis, suggesting its involvement in tumor progression. These findings are consistent with emerging literature implicating transcriptional co-repressors in cancer development, such as RCOR1 and LSD1/CoREST complexes, which are known to modulate chromatin states and transcriptional programs in malignancies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>The overexpression of RCOR2 in endometrial cancer tissues and its correlation with advanced clinical stages, higher histological grades, and lymph node metastasis suggest that RCOR2 may drive tumor progression through various molecular pathways. RCOR2 has been shown to regulate the expression of genes involved in cell cycle progression, apoptosis, and differentiation, all of which are crucial processes in cancer development and progression (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Additionally, RCOR2 has been implicated in the regulation of immune responses, further suggesting its potential role in tumorigenesis and cancer progression (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>The positive correlation between RCOR2 and proliferation markers MKI67, CCND1, and PCNA underscores its potential role in driving proliferative signaling pathways in UCEC. These genes are classical indicators of cell proliferation and have been shown to be associated with poor prognosis in multiple cancers, including breast, prostate, and cervical cancers (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Functionally, RCOR2 knockdown suppressed, and overexpression promoted, UCEC cell proliferation <italic>in vitro</italic>, confirmed by CCK8, colony formation, and qPCR assays&#x2014;supporting a causative rather than correlative role. Specifically, RCOR2 appears to regulate the cell proliferation-related genes, such as MKI67, CCND1, and PCNA, which are known markers of cell proliferation and have been implicated in the aggressive behavior of various cancers&#x200b;&#x200b;&#x200b;&#x200b; (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>The association between RCOR2 expression and poor prognosis in endometrial cancer patients is consistent with studies on other transcriptional regulators in cancer. For instance, studies have shown that downregulation of RCOR1 and RCOR2 in osteoarthritic chondrocytes contributes to increased expression of catabolic enzymes through upregulation of HES1 (<xref ref-type="bibr" rid="B12">12</xref>). This indicates a broader role for RCOR proteins in regulating gene expression and cellular behavior in pathological conditions.</p>
<p>The diagnostic value of RCOR2 was further confirmed by ROC analysis, which demonstrated strong sensitivity and specificity for distinguishing tumor aggressiveness, making RCOR2 a candidate diagnostic biomarker. This is particularly relevant given the current limitations in early detection of aggressive UCEC subtypes.</p>
<p>While our findings robustly demonstrate RCOR2&#x2019;s role in promoting proliferation and its positive correlation with canonical proliferation markers (MKI67, CCND1, and PCNA), the underlying molecular mechanisms remain to be fully elucidated. Mechanistically, RCOR2 has been implicated in transcriptional repression networks involving REST and HDACs (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), and may influence endometrial cancer progression by modulating epigenetic landscapes that control proliferation and differentiation pathways. While our findings establish a strong link between RCOR2 expression and tumor behavior, the precise molecular mechanisms by which RCOR2 modulates transcription in UCEC remain to be elucidated.</p>
<p>RCOR2, a member of the CoREST family of transcriptional co-repressors, is known to interact with chromatin-modifying complexes, such as LSD1 and HDACs (<xref ref-type="bibr" rid="B23">23</xref>), suggesting a potential role in epigenetic regulation of gene expression. It is plausible that RCOR2 promotes proliferation not only by upregulating proliferation-associated genes but also through repression of cell cycle inhibitors, such as CDKN1A (p21) or CDKN1B (p27), thereby facilitating G1/S transition (<xref ref-type="bibr" rid="B24">24</xref>). Additionally, RCOR2 may influence key regulatory pathways involved in cell cycle progression, including E2F and MYC signaling networks, either directly or via modulation of histone methylation and acetylation states (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Emerging studies on epigenetic regulators in gynecologic cancers offer valuable parallels. For instance, recent work highlights the role of epigenetic remodeling in endometrial cancer proliferation and resistance, underscoring the importance of chromatin context in driving oncogenic programs (<xref ref-type="bibr" rid="B26">26</xref>). Similarly, findings implicate epigenetic dysregulation through histone modifiers in promoting tumor aggressiveness in breast Cancer and other gynecological cancers (<xref ref-type="bibr" rid="B27">27</xref>). These insights raise the possibility that RCOR2, through its association with LSD1/CoREST complexes, may contribute to the silencing of tumor suppressor genes or the activation of oncogenic enhancers.</p>
<p>Future investigations into RCOR2&#x2019;s genomic binding sites, transcriptomic targets, and interaction partners&#x2014;such as LSD1, REST, or G9a&#x2014;could provide a more comprehensive understanding of its role in UCEC. Such studies may reveal whether its oncogenic role extends beyond proliferation to include pathways governing differentiation, apoptosis, or immune evasion. Exploring these mechanisms could yield novel therapeutic targets or biomarkers for aggressive subtypes of UCEC.</p>
<p>Although this study did not record menstrual cycle phases for premenopausal patients, their limited representation (15 of 174, 8.6%) minimizes potential impact on overall results. Over 75% of the cohort were postmenopausal, reducing variability from hormonal fluctuations. The study&#x2019;s primary focus was on pathological differences between tumor and adjacent normal tissues, with RCOR2 found to be significantly overexpressed in endometrial cancer and associated with adverse clinicopathological features, including stage, grade, and lymph node metastasis. Given that tumor-related epigenetic dysregulation and abnormal cell proliferation likely exert stronger effects on RCOR2 expression than physiological hormonal changes, and considering the paired tissue design from the same patients, potential confounding from menstrual cycle phases is minimal. Thus, the key conclusion regarding RCOR2 overexpression in endometrial cancer and its clinical relevance remains robust.</p>
<p>Despite these promising results, several limitations exist. First, the study relied primarily on one cell line (ISK), which, while representative of UCEC, may not fully capture tumor heterogeneity. Future studies using multiple UCEC cell lines and patient-derived xenografts (PDX) or organoids would strengthen translational relevance. Second, <italic>in vivo</italic> validation is essential to confirm the tumorigenic role of RCOR2 and evaluate its potential as a therapeutic target.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In conclusion, our study identifies RCOR2 as a key contributor to UCEC proliferation and progression, highlights its potential diagnostic utility, and opens avenues for mechanistic and therapeutic exploration. Future work should focus on elucidating the RCOR2-centered transcriptional networks and assessing the efficacy of RCOR2-targeted strategies <italic>in vivo</italic>.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Quanzhou First Hospital, Fujian Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>QZ: Data curation, Funding acquisition, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XY: Data curation, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YL: Data curation, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. The study was supported by Quanzhou City Science &amp; Technology Program of China.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1539263/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1539263/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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