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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">781400</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.781400</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Epigenetic Alteration and its Association With Downregulated FOXP3 Gene in Indian Breast Cancer Patients</article-title>
<alt-title alt-title-type="left-running-head">Sadaf et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Aberrant Expression of FOXP3 Gene</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sadaf</surname>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1250922/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Akhter</surname>
<given-names>Naseem</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alharbi</surname>
<given-names>Raed A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sindi</surname>
<given-names>Abdulmajeed A. A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Najm</surname>
<given-names>Mohammad Zeeshan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1556832/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alhumaydhi</surname>
<given-names>Fahad A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/930556/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Mohammad Aasif</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1378481/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deo</surname>
<given-names>S.V.S</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Husain</surname>
<given-names>Syed Akhtar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1374720/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Biosciences, Jamia Millia Islamia, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, <addr-line>Albaha</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>School of Biosciences, Apeejay Stya University, <addr-line>Gurugram</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, <addr-line>Buraydah</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Department of Surgical Oncology, All India Institute of Medical Sciences, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/524173/overview">Edivaldo Herculano Correa De Oliveira</ext-link>, Evandro Chagas Institute, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1495603/overview">Jogendra Pawar</ext-link>, Purdue University, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/904891/overview">Saif Ahmad</ext-link>, Barrow Neurological Institute (BNI), United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Syed Akhtar Husain, <email>shusain@jmi.ac.in</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>781400</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Sadaf, Akhter, Alharbi, Sindi, Najm, Alhumaydhi, Khan, Deo and Husain.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Sadaf, Akhter, Alharbi, Sindi, Najm, Alhumaydhi, Khan, Deo and Husain</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> <italic>FOXP3</italic> gene, known to be a potential tumor suppressor, has been identified to interact with HER2 in mammary cancer. Moreover, the high expression of <italic>FOXP3</italic> serves as a good predictor of the survival of patients in breast cancer, prostate cancer, and gastric cancer. The expression and epigenetic alterations were evaluated in female breast cancer patients.</p>
<p>
<bold>Material and Methods:</bold> Expression studies at the mRNA level and protein level were conducted in 140 breast cancer cases by real-time PCR and immunohistochemistry, respectively. Epigenetic studies were also conducted by analyzing the methylation status at the promoter region of the gene using MS-PCR.</p>
<p>
<bold>Results:</bold> <italic>FOXP3</italic> mRNA expression and protein expression were downregulated in breast cancer patients. The absence of <italic>FOXP3</italic> protein expression is significantly associated with promoter methylation, where 70 methylated cases exhibited protein loss (70/95, 73.6%). Statistically, we also found a significant correlation between <italic>FOXP3</italic> protein expression and TNM stage, promoter methylation, and histological grade. The methylated <italic>FOXP3</italic> cases that did not express protein were also significantly associated with positive lymph node metastasis and HER-2 status.</p>
<p>
<bold>Conclusion:</bold> The expression profile of <italic>FOXP3</italic> may serve as a prognostic factor. In short, <italic>FOXP3</italic> may stand in the most crucial list of biomarkers for breast cancer, bringing compelling results in terms of treatment and management of the disease.</p>
</abstract>
<kwd-group>
<kwd>PCR-real time</kwd>
<kwd>methylation specific PCR (MS PCR)</kwd>
<kwd>immunohistochemistry (IHC)</kwd>
<kwd>biomarkers</kwd>
<kwd>mammary cancer</kwd>
<kwd>gene experession</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>It is a well-known fact that females around the world are mostly affected by breast cancer (1.7 million cases, 11.9%); however, it positions fifth as the cause of death (6.4%) because of the comparatively conducive prognosis. Whereas breast cancer accounted for the most prominent cause of mortality in females in undeveloped and developing regions of the world (<xref ref-type="bibr" rid="B5">Ferlay et&#x20;al., 2015</xref>), the development of biomarkers and their clinical use in therapy for prediction and expected response hold a remarkable potential.</p>
<p>
<italic>FOXP3</italic>(Forkhead box P3), located on Xp11.23, is a member of the Forkhead/winged-helix family of transcription factors which is responsible for X-linked autoimmune diseases in mice as well as humans (<xref ref-type="bibr" rid="B32">Wildin et&#x20;al., 2001</xref>; <xref ref-type="bibr" rid="B1">Brunkow et&#x20;al., 2001</xref>; <xref ref-type="bibr" rid="B26">Schubert et&#x20;al., 2001</xref>). Transcription factor <italic>FOXP3</italic> regulates the development and function of Treg cells, and Treg cells are known to regulate homeostasis (<xref ref-type="bibr" rid="B2">Chen et&#x20;al., 2015</xref>) and immunosuppression (<xref ref-type="bibr" rid="B23">M&#xfc;ller et&#x20;al., 2010</xref>) and also recognized as the most peculiar marker for Treg (<xref ref-type="bibr" rid="B10">Hori et&#x20;al., 2003</xref>). Before the advanced research on <italic>FOXP3</italic> expression, it was thought to be expressed only in hematopoietic cells but now seems to be present in human tumors, particularly tumors of the breast (<xref ref-type="bibr" rid="B22">Merlo et&#x20;al., 2009</xref>). In mammary cancers, <italic>FOXP3</italic> is found to regulate <italic>HER-2</italic> and <italic>SKP2</italic> by repressing their expression, and importantly these genes are linked to a poor prognosis in the cases with breast carcinoma (<xref ref-type="bibr" rid="B21">Martin et&#x20;al., 2010</xref>). The downregulation and many functional somatic mutations in the <italic>FOXP3</italic> gene were usually found in human breast cancer samples. These mutations may also account for the overall down-regulation at the protein level (<xref ref-type="bibr" rid="B12">Karanikas et&#x20;al., 2008</xref>).</p>
<p>
<italic>FOXP3</italic> halts the transcription of <italic>HER-2</italic> by attaching to the promoter region of the <italic>ERBB2</italic> gene (<xref ref-type="bibr" rid="B25">Redpath et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B36">Zuo et&#x20;al., 2007</xref>), and it is a well-known fact that <italic>HER-2</italic> is a potent marker in terms of prediction and effective therapy (<xref ref-type="bibr" rid="B24">Presson et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B30">Weigelt and Reis-Filho, 2010</xref>). The study has also pointed out the high expression of <italic>FOXP3</italic> as a good predictor of the survival of a patient in prostate cancer, breast cancer, gastric cancer, and bladder cancer (<xref ref-type="bibr" rid="B15">Li et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B29">Wang et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B33">Winerdal et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B8">He et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B6">Fiori Lopes et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B7">Hao et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B20">Ma et&#x20;al., 2014</xref>). Previous studies also reported that many SNPs in the <italic>FOXP3</italic> gene had been associated with breast cancer (<xref ref-type="bibr" rid="B11">Jiang and Ruan, 2014</xref>).</p>
<p>
<italic>FOXP3</italic> is also linked to <italic>p21</italic> and <italic>LATS2</italic>, where it is involved in transcriptional control (<xref ref-type="bibr" rid="B17">Li et&#x20;al., 2011</xref>). Due to these captivating characteristics of <italic>FOXP3</italic>, the present work examines the correlation of <italic>FOXP3</italic> protein expression with the clinicopathological variables to strengthen its role as a putative biomarker for breast carcinoma in the Indian population.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methodology</title>
<sec id="s2-1">
<title>Ethical Statement</title>
<p>The University Ethical Committee of Jamia Millia Islamia (JMI), New Delhi, and the Ethical Committee for Human Study of AIIMS (All India Institute of Medical Sciences), New Delhi, have officially approved the study. The experimental work had been undertaken with written consent obtained from each subject, and the study complies with the rules and standards set by the Ethics Code of the Medical Association of the world, which have been noted as per the Declaration of Helsinki as published in British Medical Journal (1964).</p>
</sec>
<sec id="s2-2">
<title>Sample Collection</title>
<p>A total of 140 participants were included in the present case&#x2013;control study. Cancer tissue from the breast and non-cancerous adjacent tissue were both obtained from the surgical oncology department of the collaborating institute (AIIMS). The samples were collected in three vials containing RNALater, phosphate-buffered saline (PBS), and formalin, respectively, for further processing.</p>
<p>The classification of breast cancer stages was done under the TNM staging system, and the histological grading of tumors was classified based on the Nottingham grade system. The exclusion criteria in the current study included familial cancer, any previous type of cancer, other metastasized cancer that has spread from different organs, and chemotherapy and radiotherapy exposure. In addition, included were various clinicopathological variables such as tumor distinctiveness [age, tumor size, metastasis at the lymph node level, TNM staging, grade of tumor, molecular subtype of tumor, hormonal receptor status (ER, PR, and Her2neu), and reproductive history (menopausal status parity)].</p>
</sec>
<sec id="s2-3">
<title>Quantitative- PCR</title>
<p>RNALater (Qiagen) was used to store excised tissues from normal and breast cancer patients, and then RNA was extracted by using the TRIzol method as per the manual. cDNA was synthesized using a Thermo Fisher verso kit from the extracted RNA. The qPCR is processed using Roche LightCycler&#xae; 96 machine with SYBR Green I Master mix reagent (Roche) with the help of <italic>FOXP3</italic> primers (Fwd- 5&#x2032;-TCC&#x200b;CAG&#x200b;AGT&#x200b;TCC&#x200b;TCC&#x200b;ACA&#x200b;AC-3&#x2032; and Rev-5&#x2032;ATTGAGTGTCCGCTGCTTCT-3&#x2032;) that give an amplified 122-bp product. The internal control used was GAPDH gene which was also amplified in the same PCR reactions. The program used for the amplification cycles was as follows: preheating at 95&#xb0;C for 1&#xa0;min, 30 cycles of denaturation at 95&#xb0;C for 20&#xa0;s, annealing at 58&#xb0;C for 15&#xa0;s, extension at 72&#xb0;C for 15&#xa0;s, and further elongation at 72&#xb0;C for 7&#xa0;min. The experiments were repeated thrice.</p>
<p>The relative quantification of expression was calculated as the calibrator normalized ratio using LightCycler 96 (Roche) Software 1.5. The formula used, RQ &#x3d; 2<sup>&#x2013;&#x2206;&#x2206;C</sup>t, was according to&#x20;MIQE.</p>
</sec>
<sec id="s2-4">
<title>Genomic DNA Extraction</title>
<p>The phenol-chloroform extraction method was used to isolate high-molecular-weight total gDNA from both tumor and normal tissues stored in PBS. The genomic DNA isolated was quantified on a Nanodrop spectrophotometer, and its quality was also assessed using an A260/280 ratio. It was further visualized on the 1% agarose gel stained with ethidium bromide under a UV transilluminator.</p>
</sec>
<sec id="s2-5">
<title>MS-PCR for Epigenetic Analysis</title>
<p>Isolated gDNA from the tissues were given bisulfite treatment using Zymo research EZ DNA Methylation-Gold&#x2122; Kit per the instructions. The treated gDNA was amplified using two sets of methylated and unmethylated primers for the FOXP3 promoter. MethPrimer tool was used to design the set of primers for methylation and unmethylation. (<xref ref-type="bibr" rid="B16">Li and Dahiya, 2002</xref>). The methylated primer pairs for the promoter region of the <italic>FOXP3</italic> gene were: forward 5&#x2032;- TGT&#x200b;AGG&#x200b;GGG&#x200b;TGT&#x200b;AGA&#x200b;ATT&#x200b;TTT&#x200b;TTC-3&#x2032; and reverse 5&#x2032;- AAA&#x200b;CTA&#x200b;AAT&#x200b;TCC&#x200b;CAA&#x200b;AAA&#x200b;CCT&#x200b;CG-3&#x2032; and for the unmethylated were forward 5&#x2032;- GTA&#x200b;GGG&#x200b;GGT&#x200b;GTA&#x200b;GAA&#x200b;TTT&#x200b;TTT&#x200b;TTG&#x200b;T-3 and reverse 5&#x2032;- TAA&#x200b;AAC&#x200b;TAA&#x200b;ATT&#x200b;CCC&#x200b;AAA&#x200b;AAC&#x200b;CTC&#x200b;A-3&#x2032;. The positive controls used in the experiment were commercially available Completely methylated and unmethylated human genomic&#x20;DNA.</p>
<p>MS-PCR was performed under the following cycles: First denaturation at 95&#xb0;C for 7&#xa0;min, denaturation at 95&#xb0;C for 30s 52.5&#xb0;C annealing for both types of primers for 30&#xa0;s, 72&#xb0;C for 30&#xa0;s and final elongation at 72&#xb0;C for 7&#xa0;min which was amplified for 35 cycles. Then, 2% agarose gel stained with EtBr was used to visualize and analyze the PCR product, which was finally photographed using the Bio-Rad Gel Documentation system. All experiments were conducted in triplicates.</p>
</sec>
<sec id="s2-6">
<title>Immunohistochemistry</title>
<p>The tissue biopsies of the breast carcinoma and adjoining non-cancerous tissue were conserved in formalin-fixed blocks. The blocks were then sectioned and engraved on slides coated with poly-L-lys and exposed to deparaffinization by dipping in different concentrations of xylene and further rehydrated with grades of ethanol. By using 0.3% H<sub>2</sub>O<sub>2</sub> for 30&#xa0;min, the endogenous peroxidase activity was blocked, and sodium citrate buffer (pH 9.0) was used for Ag retrieval.</p>
<p>The sections were treated for 30&#x20;min with TENG-T (10&#xa0;mM Tris; 5&#x20;mM ethylenediaminetetraacetic acid, 0.15&#xa0;mol/L NaCl, 0.25% gelatin, and 0.05% (v/v) Tween20 (pH 8.0) to block the samples. Bovine serum albumin was used to limit unspecific binding to the protein. The slides were treated with the primary antibody (mAbCam&#x23;ab22510&#x20;<italic>FOXP3</italic> 1:50) and incubated overnight at 4&#xb0;C. The slides were then treated for 30&#xa0;min with a biotinylated anti-mouse secondary antibody along with streptavidin&#x2013;horseradish peroxidase conjugate. The DAB chromogen was finally used as a substrate to give a brown-colored precipitate. The slides were also treated with hematoxylin as a counterstain for better contrast.</p>
<p>Histopathologists interpreted the slides after immunohistochemistry; the slides were photographed under a light microscope at &#xd7;400 magnification. The pathologist further graded the expression on the number scale 0&#x2013;4, with 0 as no expression and 4 as highest expression; the slides with &#x3e;50% protein staining were considered in the highest&#x20;scale.</p>
</sec>
<sec id="s2-7">
<title>Statistics</title>
<p>SPSS version 22.0 for Windows was used for all the statistical correlations between the outcomes and the clinicopathological parameters. All data were expressed as mean&#x20;&#xb1; standard error. Fisher&#x2019;s exact test was used to obtain <italic>p</italic>-values between mRNA levels, methylation status, and protein expression with the clinicopathological parameters. Non-parametric Wilcoxon signed-rank test is used to estimate <italic>FOXP3</italic>/<italic>GAPDH</italic> mRNA expression levels significantly in both cancer and normal tissue samples. The <italic>p</italic>-values &#x3e;0.05 were considered as significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>mRNA Expression of the FOXP3 Gene Is Downregulated in the Cases of Breast Cancer</title>
<p>
<italic>FOXP3</italic> mRNA expression revealed downregulation in 63.5% (89/140) of cases (<xref ref-type="fig" rid="F1">Figure&#x20;1A</xref>), out of which nearly 86.5% (77/89) of the cases registered in the study were linked to histological grade type 1 and type 2. As per the fold change analysis, 89 cases out of 140 samples seemed to be downregulated (5.09-fold), while the expression pattern of <italic>FOXP3</italic> at the level of mRNA, when normalized accordingly with the internal control <italic>GAPDH</italic> in tumor and non-tumor tissues, was 2.07&#x20;&#xb1; 0.7 (mean&#x20;&#xb1; standard error) and 2.51&#x20;&#xb1; 0.4 (mean&#x20;&#xb1; standard error) (<xref ref-type="fig" rid="F1">Figure&#x20;1B</xref>), (<italic>p</italic>-value of &#x3c;0.0001; <xref ref-type="table" rid="T1">Table&#x20;1</xref>) respectively. However, there was no significant association observed between <italic>FOXP3</italic> mRNA level and various clinical variables.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Heat map plot showing the mRNA relative expression of the <italic>FOXP3</italic> gene (fold change) in breast cancer patients. <bold>(B)</bold> Graphical representation of the relative expression of <italic>FOXP3</italic>/<italic>GAPDH</italic> mRNA in breast tumor and adjoining non-tumorous tissues.</p>
</caption>
<graphic xlink:href="fgene-12-781400-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Correlation study of <italic>FOXP3</italic> mRNA expression with clinicopathological parameters in North Indian breast cancer patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="center">Total (N)</th>
<th align="center">
<italic>FOXP3</italic> mRNA expression relative to GAPDH (mean&#x20;&#xb1; S.E)</th>
<th align="center">
<italic>p-</italic>value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">Tissue<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">89</td>
<td align="char" char="plusmn">2.51&#x20;&#xb1; 0.4</td>
<td rowspan="2" align="char" char=".">
<bold>&#x3c;0.0001&#x2a;</bold>
</td>
</tr>
<tr>
<td align="left">Tumor</td>
<td align="center">89</td>
<td align="char" char="plusmn">2.07&#x20;&#xb1; 0.7</td>
</tr>
<tr>
<td colspan="4" align="left">Age</td>
</tr>
<tr>
<td align="left">&#x3c;50</td>
<td align="center">50 (35.71)</td>
<td align="char" char="plusmn">2.40&#x20;&#xb1; 0.60</td>
<td rowspan="2" align="char" char=".">0.716</td>
</tr>
<tr>
<td align="left">&#x2265;50</td>
<td align="center">90 (64.29)</td>
<td align="char" char="plusmn">2.50&#x20;&#xb1; 0.40</td>
</tr>
<tr>
<td colspan="4" align="left">Menopausal status</td>
</tr>
<tr>
<td align="left">Premenopausal</td>
<td align="center">40 (28.57)</td>
<td align="char" char="plusmn">3.07&#x20;&#xb1; 0.80</td>
<td rowspan="2" align="char" char=".">0.698</td>
</tr>
<tr>
<td align="left">Postmenopausal</td>
<td align="center">100 (71.43)</td>
<td align="char" char="plusmn">2.23&#x20;&#xb1; 0.40</td>
</tr>
<tr>
<td colspan="4" align="left">Estrogen receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">37 (26.42)</td>
<td align="char" char="plusmn">2.79&#x20;&#xb1; 0.80</td>
<td rowspan="2" align="char" char=".">0.691</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">103 (73.58)</td>
<td align="char" char="plusmn">2.36&#x20;&#xb1; 0.42</td>
</tr>
<tr>
<td colspan="4" align="left">Progesterone receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">67 (47.85)</td>
<td align="char" char="plusmn">2.36&#x20;&#xb1; 0.51</td>
<td rowspan="2" align="char" char=".">0.862</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">73 (52.15)</td>
<td align="char" char="plusmn">2.58&#x20;&#xb1; 0.58</td>
</tr>
<tr>
<td colspan="4" align="left">Her2 neu status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">70 (50)</td>
<td align="char" char="plusmn">2.65&#x20;&#xb1; 0.55</td>
<td rowspan="2" align="char" char=".">0.726</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">70 (50)</td>
<td align="char" char="plusmn">2.30&#x20;&#xb1; 0.55</td>
</tr>
<tr>
<td colspan="4" align="left">Tumor size</td>
</tr>
<tr>
<td align="left">&#x3c;5</td>
<td align="center">64 (45.71)</td>
<td align="char" char="plusmn">1.50&#x20;&#xb1; 0.35</td>
<td rowspan="2" align="char" char=".">0.482</td>
</tr>
<tr>
<td align="left">&#x2265;5</td>
<td align="center">76 (54.29)</td>
<td align="char" char="plusmn">3.29&#x20;&#xb1; 0.64</td>
</tr>
<tr>
<td colspan="4" align="left">Lymph node status</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">119 (85)</td>
<td align="char" char="plusmn">2.68&#x20;&#xb1; 0.45</td>
<td rowspan="2" align="char" char=".">0.811</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">21 (15)</td>
<td align="char" char="plusmn">1.37&#x20;&#xb1; 0.40</td>
</tr>
<tr>
<td colspan="4" align="left">TNM staging</td>
</tr>
<tr>
<td align="left">Stage (I &#x2b; II)</td>
<td align="center">45 (32.1)</td>
<td align="char" char="plusmn">2.87&#x20;&#xb1; 0.73</td>
<td rowspan="2" align="char" char=".">0.192</td>
</tr>
<tr>
<td align="left">Stage (III &#x2b; IV)</td>
<td align="center">95 (67.9)</td>
<td align="char" char="plusmn">2.28&#x20;&#xb1; 0.46</td>
</tr>
<tr>
<td colspan="4" align="left">Histological grade</td>
</tr>
<tr>
<td align="left">(I &#x2b; II)</td>
<td align="center">120 (85.7)</td>
<td align="char" char="plusmn">2.47&#x20;&#xb1; 0.42</td>
<td rowspan="2" align="char" char=".">0.803</td>
</tr>
<tr>
<td align="left">(III)</td>
<td align="center">20 (14.3)</td>
<td align="char" char="plusmn">2.51&#x20;&#xb1; 1.02</td>
</tr>
<tr>
<td colspan="4" align="left">Molecular subtypes</td>
</tr>
<tr>
<td align="left">Luminal A</td>
<td align="center">51 (36.44)</td>
<td align="char" char="plusmn">2.13&#x20;&#xb1; 0.56</td>
<td rowspan="4" align="char" char=".">0.193</td>
</tr>
<tr>
<td align="left">Luminal B</td>
<td align="center">53 (37.86)</td>
<td align="char" char="plusmn">2.58&#x20;&#xb1; 0.64</td>
</tr>
<tr>
<td align="left">Her2neu enriched</td>
<td align="center">18 (12.85)</td>
<td align="char" char="plusmn">1.48&#x20;&#xb1; 1.04</td>
</tr>
<tr>
<td align="left">TNBC</td>
<td align="center">18 (12.85)</td>
<td align="char" char="plusmn">4.24&#x20;&#xb1; 1.44</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TNBC: triple negative breast cancer, FOXP3: Forkhead Box P3.</p>
</fn>
<fn id="Tfn1">
<label>a</label>
<p>Only downregulated cases were included.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Expression of FOXP3 Protein is Either Lost or Low in Breast Cancer</title>
<p>The expression of <italic>FOXP3</italic> at the protein level was found to be either low or absent in 95 cases of the total 140 samples involved in the study (67.85%) (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>), while in the other 45 cases, the expression pattern was either in the high or moderate range as interpreted by a histopathologist on the basis expression scale (45/140, 32.14%). The protein expression pattern was in relation to the mRNA expression. The <italic>FOXP3</italic> protein, as visualized by immunohistochemistry, was mainly located in the nuclear region.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Protein expression in <italic>FOXP3</italic> by immunohistochemistry. <bold>(A)</bold> Absence or loss of <italic>FOXP3</italic> expression in Breast cancer tissues. <bold>(B)</bold> <italic>FOXP3</italic> low expression in breast tumor tissues. <bold>(C)</bold> <italic>FOXP3</italic> moderate/high expression in breast tumor tissues.</p>
</caption>
<graphic xlink:href="fgene-12-781400-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>FOXP3 Protein Expression and Its Significant Correlation With Clinicopathological Parameters</title>
<p>As revealed by immunohistochemistry staining, the majority of <italic>FOXP3</italic> proteins in the samples were found to be significantly downregulated. Moreover, when we tried to statistically associate the protein expression with the clinical parameters of the patients, we observed a significant correlation between TNM staging and <italic>FOXP3</italic> protein expression (<italic>p</italic>&#x20;&#x3c; 0.035) (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). However, with other parameters, no significant association was obtained statistically (<xref ref-type="table" rid="T2">Table&#x20;2</xref>), though most cases with tumor grades 1 and 2 seem to have protein loss (82/95, 86.3%).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Statistical analysis of the protein expression pattern of <italic>FOXP3</italic> with the clinicopathological variables of patients with breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="center">Total cases (N)</th>
<th align="center">
<italic>FOXP3</italic> absent</th>
<th align="center">
<italic>FOXP3</italic> present</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Age</td>
</tr>
<tr>
<td align="left">&#x3c;50</td>
<td align="center">50</td>
<td align="char" char="(">36 (72)</td>
<td align="char" char="(">14 (28)</td>
<td rowspan="2" align="char" char=".">0.457</td>
</tr>
<tr>
<td align="left">&#x2265;50</td>
<td align="center">90</td>
<td align="char" char="(">59 (65.5)</td>
<td align="char" char="(">31 (34.5)</td>
</tr>
<tr>
<td colspan="5" align="left">Menopausal status</td>
</tr>
<tr>
<td align="left">Premenopausal</td>
<td align="center">40</td>
<td align="char" char="(">27 (67.5)</td>
<td align="char" char="(">13 (32.5)</td>
<td rowspan="2" align="char" char=".">1.0</td>
</tr>
<tr>
<td align="left">Postmenopausal</td>
<td align="center">100</td>
<td align="char" char="(">68 (68)</td>
<td align="char" char="(">32 (32)</td>
</tr>
<tr>
<td colspan="5" align="left">Estrogen receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">37</td>
<td align="char" char="(">26 (70.2)</td>
<td align="char" char="(">11 (29.8)</td>
<td rowspan="2" align="char" char=".">0.838</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">103</td>
<td align="char" char="(">69 (66.9)</td>
<td align="char" char="(">34 (33.1)</td>
</tr>
<tr>
<td colspan="5" align="left">Progesterone receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">67</td>
<td align="char" char="(">43 (64.2)</td>
<td align="char" char="(">24 (35.8)</td>
<td rowspan="2" align="char" char=".">0.469</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">73</td>
<td align="char" char="(">52 (71.2)</td>
<td align="char" char="(">21 (28.8)</td>
</tr>
<tr>
<td colspan="5" align="left">Her2 neu status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">70</td>
<td align="char" char="(">44 (62.8)</td>
<td align="char" char="(">26 (37.2)</td>
<td rowspan="2" align="char" char=".">0.278</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">70</td>
<td align="char" char="(">51 (72.8)</td>
<td align="char" char="(">19 (27.2)</td>
</tr>
<tr>
<td colspan="5" align="left">Tumor size</td>
</tr>
<tr>
<td align="left">&#x3c;5</td>
<td align="center">64</td>
<td align="char" char="(">46 (71.8)</td>
<td align="char" char="(">18 (28.1)</td>
<td rowspan="2" align="char" char=".">0.37</td>
</tr>
<tr>
<td align="left">&#x2265;5</td>
<td align="center">76</td>
<td align="char" char="(">49 (64.4)</td>
<td align="char" char="(">27 (35.6)</td>
</tr>
<tr>
<td colspan="5" align="left">Lymph node status</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">119</td>
<td align="char" char="(">80 (67.2)</td>
<td align="char" char="(">39 (32.8)</td>
<td rowspan="2" align="char" char=".">0.804</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">21</td>
<td align="char" char="(">15 (71.5)</td>
<td align="char" char="(">6 (28.5)</td>
</tr>
<tr>
<td colspan="5" align="left">TNM staging</td>
</tr>
<tr>
<td align="left">Stage (I &#x2b; II)</td>
<td align="center">45</td>
<td align="char" char="(">25 (55.5)</td>
<td align="char" char="(">20 (44.5)</td>
<td rowspan="2" align="char" char=".">0.035&#x2a;</td>
</tr>
<tr>
<td align="left">Stage (III &#x2b; IV)</td>
<td align="center">95</td>
<td align="char" char="(">70 (73.6)</td>
<td align="char" char="(">25 (26.4)</td>
</tr>
<tr>
<td colspan="5" align="left">Histological grade</td>
</tr>
<tr>
<td align="left">(I &#x2b; II)</td>
<td align="center">120</td>
<td align="char" char="(">82 (68.3)</td>
<td align="char" char="(">38 (31.7)</td>
<td rowspan="2" align="char" char=".">0.70</td>
</tr>
<tr>
<td align="left">(III)</td>
<td align="center">20</td>
<td align="char" char="(">13 (65)</td>
<td align="char" char="(">7 (35)</td>
</tr>
<tr>
<td colspan="5" align="left">Molecular subtypes</td>
</tr>
<tr>
<td align="left">Luminal A</td>
<td align="center">51</td>
<td align="char" char="(">34 (66.6)</td>
<td align="char" char="(">17 (33.4)</td>
<td rowspan="4" align="char" char=".">0.093</td>
</tr>
<tr>
<td align="left">Luminal B</td>
<td align="center">53</td>
<td align="char" char="(">36 (67.9)</td>
<td align="char" char="(">17 (32.1)</td>
</tr>
<tr>
<td align="left">Her2neu Enr</td>
<td align="center">18</td>
<td align="char" char="(">16 (88.8)</td>
<td align="char" char="(">2 (11.2)</td>
</tr>
<tr>
<td align="left">TNBC</td>
<td align="center">18</td>
<td align="char" char="(">9 (50)</td>
<td align="char" char="(">9 (50)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<title>FOXP3 Promoter Methylation and Its Association With Clinical Variables</title>
<p>Methylation at various CpG present in the upstream promoter area of <italic>FOXP3</italic> gene was observed in 73 cases (73/140, 52.14%) (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>) and, once linked with clinical parameters, revealed a significant association with the Nottingham histological grades 1 and 2 type tumors of breast cancer patients (0.031). Though no significant associations were seen with other parameters included in the study (<xref ref-type="table" rid="T3">Table&#x20;3</xref>), we did note a significantly higher number of methylated cases in metastatic lymph node (59/73, 80.8%), estrogen receptor-positive (52/73, 71.2%), and menopausal female patients (51/73, 69.8%) (<xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>MS-PCR analysis of the promoter region of <italic>FOXP3</italic> in breast carcinoma. Promoter methylation was evaluated by two types of primers to amplify either unmethylated gDNA (UM) or methylated gDNA (M). L, 100-bp DNA ladder; T, tumor tissue; PC, positive control for completely methylated and unmethylated DNA.</p>
</caption>
<graphic xlink:href="fgene-12-781400-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Statistical association study of methylated <italic>FOXP3</italic> gene with clinicopathological parameters of patients having breast carcinoma.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="center">Total cases (N)</th>
<th align="center">Methylated</th>
<th align="center">Unmethylated</th>
<th align="center">
<italic>p-</italic>value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Age</td>
</tr>
<tr>
<td align="left">&#x3c;50</td>
<td align="center">50</td>
<td align="char" char="(">30 (60)</td>
<td align="char" char="(">20 (40)</td>
<td rowspan="2" align="char" char=".">0.217</td>
</tr>
<tr>
<td align="left">&#x2265;50</td>
<td align="center">90</td>
<td align="char" char="(">43 (47.7)</td>
<td align="char" char="(">47 (52.3)</td>
</tr>
<tr>
<td colspan="5" align="left">Menopausal status</td>
</tr>
<tr>
<td align="left">Premenopausal</td>
<td align="center">40</td>
<td align="char" char="(">22 (55)</td>
<td align="char" char="(">18 (45)</td>
<td rowspan="2" align="char" char=".">0.711</td>
</tr>
<tr>
<td align="left">Postmenopausal</td>
<td align="center">100</td>
<td align="char" char="(">51 (51)</td>
<td align="char" char="(">49 (49)</td>
</tr>
<tr>
<td colspan="5" align="left">Estrogen receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">37</td>
<td align="char" char="(">21 (56.7)</td>
<td align="char" char="(">16 (43.3)</td>
<td rowspan="2" align="char" char=".">0.568</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">103</td>
<td align="char" char="(">52 (50.4)</td>
<td align="char" char="(">51 (49.6)</td>
</tr>
<tr>
<td colspan="5" align="left">Progesterone receptor status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">67</td>
<td align="char" char="(">34 (50.7)</td>
<td align="char" char="(">33 (49.3)</td>
<td rowspan="2" align="char" char=".">0.866</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">73</td>
<td align="char" char="(">39 (53.4)</td>
<td align="char" char="(">34 (46.6)</td>
</tr>
<tr>
<td colspan="5" align="left">Her2 neu status</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">70</td>
<td align="char" char="(">37 (52.8)</td>
<td align="char" char="(">33 (47.2)</td>
<td rowspan="2" align="char" char=".">1.0</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">70</td>
<td align="char" char="(">36 (51.4)</td>
<td align="char" char="(">34 (48.6)</td>
</tr>
<tr>
<td colspan="5" align="left">Tumor size</td>
</tr>
<tr>
<td align="left">&#x3c;5</td>
<td align="center">64</td>
<td align="char" char="(">35 (54.6)</td>
<td align="char" char="(">29 (45.4)</td>
<td rowspan="2" align="char" char=".">0.613</td>
</tr>
<tr>
<td align="left">&#x2265;5</td>
<td align="center">76</td>
<td align="char" char="(">38 (50)</td>
<td align="char" char="(">38 (50)</td>
</tr>
<tr>
<td colspan="5" align="left">Lymph node status</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">119</td>
<td align="char" char="(">59 (49.5)</td>
<td align="char" char="(">60 (50.5)</td>
<td rowspan="2" align="char" char=".">0.164</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">21</td>
<td align="char" char="(">14 (66.6)</td>
<td align="char" char="(">7 (33.4)</td>
</tr>
<tr>
<td colspan="5" align="left">TNM staging</td>
</tr>
<tr>
<td align="left">Stage (I &#x2b; II)</td>
<td align="center">45</td>
<td align="char" char="(">25 (55.5)</td>
<td align="char" char="(">20 (44.5)</td>
<td rowspan="2" align="char" char=".">0.50</td>
</tr>
<tr>
<td align="left">Stage (III &#x2b; IV)</td>
<td align="center">95</td>
<td align="char" char="(">48 (50.5)</td>
<td align="char" char="(">47 (49.5)</td>
</tr>
<tr>
<td colspan="5" align="left">Histological grade</td>
</tr>
<tr>
<td align="left">(I &#x2b; II)</td>
<td align="center">120</td>
<td align="char" char="(">58 (48.3)</td>
<td align="char" char="(">62 (51.7)</td>
<td rowspan="2" align="char" char=".">0.031&#x2a;</td>
</tr>
<tr>
<td align="left">(III)</td>
<td align="center">20</td>
<td align="char" char="(">15 (75)</td>
<td align="char" char="(">5 (25)</td>
</tr>
<tr>
<td colspan="5" align="left">Molecular subtypes</td>
</tr>
<tr>
<td align="left">Luminal A</td>
<td align="center">51</td>
<td align="char" char="(">29 (56.8)</td>
<td align="char" char="(">22 (43.2)</td>
<td rowspan="4" align="char" char=".">0.136</td>
</tr>
<tr>
<td align="left">Luminal B</td>
<td align="center">53</td>
<td align="char" char="(">24 (45.2)</td>
<td align="char" char="(">29 (54.8)</td>
</tr>
<tr>
<td align="left">Her2neu Enr</td>
<td align="center">18</td>
<td align="char" char="(">13 (72.2)</td>
<td align="char" char="(">5 (27.8)</td>
</tr>
<tr>
<td align="left">TNBC</td>
<td align="center">18</td>
<td align="char" char="(">7 (38.8)</td>
<td align="char" char="(">11 (61.2)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Convincing Association of FOXP3 Protein Expression With FOXP3 Promoter Methylation in the Cases of Breast Carcinoma</title>
<p>The correlation study of methylated <italic>FOXP3</italic> gene and its respective protein expression displayed the significant link, in which out of 95 cases with protein loss, 70 cases possessed methylation at the promoter region (70/95, 73.68%) (<xref ref-type="table" rid="T4">Table&#x20;4</xref>), whereas 25 cases were completely unmethylated (25/95, 26.3%) (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). To add more, in 67 unmethylated samples (67/140, 47.8%), noticeably 62.6% (42/67) cases showed the presence of protein. Therefore, a potential statistical relation was observed between the <italic>FOXP3</italic> protein expression and its promoter methylation (<italic>p</italic>&#x20;&#x3d; 0.0001) (<xref ref-type="table" rid="T4">Table&#x20;A4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Correlation study between FOXP3 protein expression and its promoter methylation in patients with breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">
<italic>FOXP3</italic> promoter</th>
<th colspan="2" align="center">
<italic>FOXP3</italic> protein expression</th>
<th align="center">Total (%)</th>
<th align="center">
<italic>p</italic> value</th>
<th align="center">OR value (95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2014;</td>
<td align="center">Absent</td>
<td align="center">Present</td>
<td align="center">&#x2014;</td>
<td rowspan="4" align="char" char=".">0.0001&#x2a;</td>
<td rowspan="4" align="char" char="(">0.039 (0.011-0.13)</td>
</tr>
<tr>
<td align="left">Methylated</td>
<td align="center">70</td>
<td align="center">3</td>
<td align="char" char=".">73 (52.1)</td>
</tr>
<tr>
<td align="left">Unmethylated</td>
<td align="center">25</td>
<td align="center">42</td>
<td align="char" char=".">67 (47.9)</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="char" char=".">95 (67.8)</td>
<td align="char" char=".">45 (32.2)</td>
<td align="center">140</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; <italic>p</italic>-value, Fischer&#x2019;s exact&#x20;test</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-6">
<title>Association of Methylated FOXP3 Gene Exhibiting Loss of Protein With Numerous Clinicopathological Variables</title>
<p>The methylated promoter region of <italic>FOXP3</italic> cases demonstrating either the absence or presence of protein exhibited a statistically significant relation with Her 2 neu receptor (<italic>p</italic>&#x20;&#x3d; 0.004) and metastatic lymph node tumors (<italic>p</italic>&#x20;&#x3d; 0.01) (<xref ref-type="table" rid="T5">Table&#x20;5</xref>). Moreover, 95.7% of methylated cases (67/70) with lymph node metastasis have protein loss. (<xref ref-type="table" rid="T5">Table&#x20;5</xref>). Additionally, the cases having protein loss exhibiting either a methylated or unmethylated <italic>FOXP3</italic> promoter region shows a convincing association with positive Her-2 receptor (<italic>p</italic>&#x20;&#x3d; 0.03) and tumors of grades 1 and 2 (<italic>p</italic>&#x20;&#x3d; 0.01) (<xref ref-type="table" rid="T5">Table&#x20;5</xref>). Furthermore, it is seen that there is a strong statistical relation between <italic>FOXP3</italic> protein loss and the promoter methylation with the various clinicopathological parameters (<xref ref-type="table" rid="T6">Table&#x20;6</xref>), where most of the features were associated in a highly significant manner (<italic>p</italic>-value &#x3c;&#x20;0.05).</p>
<table-wrap id="T5" position="float">
<label>TAble 5</label>
<caption>
<p>Significant association of promoter methylation and its protein expression in patients with methylated <italic>FOXP3</italic> promoter or <italic>FOXP3</italic> Protein expression loss with various clinicopathological features of breast carcinoma.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Clinical characteristics</th>
<th rowspan="2" align="center">Total (N)</th>
<th colspan="2" align="center">Methylated <italic>FOXP3</italic>
</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
<th rowspan="2" align="center">Total (N)</th>
<th colspan="2" align="center">
<italic>FOXP3</italic> loss</th>
<th rowspan="2" align="center">
<italic>p-</italic>value</th>
</tr>
<tr>
<th align="center">
<italic>FOXP3</italic> absent</th>
<th align="center">
<italic>FOXP3&#x20;p</italic>resent</th>
<th align="center">Methylated <italic>FOXP3FOXP3</italic>
</th>
<th align="center">Unmethylated</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="9" align="left">Age</td>
</tr>
<tr>
<td align="left">&#x2003;Age &#x3c; 50</td>
<td align="center">30</td>
<td align="center">29</td>
<td align="center">1</td>
<td align="char" char=".">1.0</td>
<td align="center">36</td>
<td align="center">29</td>
<td align="center">7</td>
<td align="char" char=".">0.3</td>
</tr>
<tr>
<td align="left">&#x2003;Age &#x2265; 50</td>
<td align="center">43</td>
<td align="center">41</td>
<td align="center">2</td>
<td align="center">&#x2014;</td>
<td align="center">59</td>
<td align="center">41</td>
<td align="center">18</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Menopausal status</td>
</tr>
<tr>
<td align="left">&#x2003;Premenopausal</td>
<td align="center">22</td>
<td align="center">22</td>
<td align="center">0</td>
<td align="char" char=".">0.54</td>
<td align="center">27</td>
<td align="center">22</td>
<td align="center">5</td>
<td align="char" char=".">0.3</td>
</tr>
<tr>
<td align="left">&#x2003;Postmenopausal</td>
<td align="center">51</td>
<td align="center">48</td>
<td align="center">3</td>
<td align="center">&#x2014;</td>
<td align="center">68</td>
<td align="center">48</td>
<td align="center">20</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">ER status</td>
</tr>
<tr>
<td align="left">&#x2003;Negative</td>
<td align="center">21</td>
<td align="center">21</td>
<td align="center">0</td>
<td align="char" char=".">0.55</td>
<td align="center">26</td>
<td align="center">21</td>
<td align="center">5</td>
<td align="char" char=".">0.4</td>
</tr>
<tr>
<td align="left">&#x2003;Positive</td>
<td align="center">52</td>
<td align="center">49</td>
<td align="center">3</td>
<td align="center">&#x2014;</td>
<td align="center">69</td>
<td align="center">49</td>
<td align="center">20</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">PR status</td>
</tr>
<tr>
<td align="left">&#x2003;Negative</td>
<td align="center">34</td>
<td align="center">33</td>
<td align="center">1</td>
<td align="char" char=".">1.0</td>
<td align="center">46</td>
<td align="center">33</td>
<td align="center">10</td>
<td align="char" char=".">0.6</td>
</tr>
<tr>
<td align="left">&#x2003;Positive</td>
<td align="center">39</td>
<td align="center">37</td>
<td align="center">2</td>
<td align="center">&#x2014;</td>
<td align="center">49</td>
<td align="center">37</td>
<td align="center">15</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">HER2 status</td>
</tr>
<tr>
<td align="left">&#x2003;Negative</td>
<td align="center">13</td>
<td align="center">10</td>
<td align="center">3</td>
<td align="char" char=".">0.004&#x2a;</td>
<td align="center">19</td>
<td align="center">10</td>
<td align="center">9</td>
<td align="char" char=".">0.03&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Positive</td>
<td align="center">60</td>
<td align="center">60</td>
<td align="center">0</td>
<td align="center">&#x2014;</td>
<td align="center">76</td>
<td align="center">60</td>
<td align="center">16</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Tumor size</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;5</td>
<td align="center">35</td>
<td align="center">33</td>
<td align="center">2</td>
<td align="char" char=".">0.6</td>
<td align="center">46</td>
<td align="center">33</td>
<td align="center">13</td>
<td align="char" char=".">0.8</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;5</td>
<td align="center">38</td>
<td align="center">37</td>
<td align="center">1</td>
<td align="center">&#x2014;</td>
<td align="center">49</td>
<td align="center">37</td>
<td align="center">12</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Lymph node status</td>
</tr>
<tr>
<td align="left">&#x2003;Positive</td>
<td align="center">68</td>
<td align="center">67</td>
<td align="center">1</td>
<td align="char" char=".">0.01&#x2a;</td>
<td align="center">90</td>
<td align="center">67</td>
<td align="center">23</td>
<td align="char" char=".">0.6</td>
</tr>
<tr>
<td align="left">&#x2003;Negative</td>
<td align="center">5</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">&#x2014;</td>
<td align="center">5</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Clinical stage</td>
</tr>
<tr>
<td align="left">&#x2003;Stage (1 &#x2b; 2)</td>
<td align="center">22</td>
<td align="center">20</td>
<td align="center">2</td>
<td align="char" char=".">0.20</td>
<td align="center">25</td>
<td align="center">20</td>
<td align="center">5</td>
<td align="char" char=".">0.5</td>
</tr>
<tr>
<td align="left">&#x2003;Stage (3 &#x2b; 4)</td>
<td align="center">51</td>
<td align="center">50</td>
<td align="center">1</td>
<td align="center">&#x2014;</td>
<td align="center">70</td>
<td align="center">50</td>
<td align="center">20</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Histological stage/grade</td>
</tr>
<tr>
<td align="left">&#x2003;Stage (1 &#x2b; 2)</td>
<td align="center">62</td>
<td align="center">60</td>
<td align="center">2</td>
<td align="char" char=".">0.39</td>
<td align="center">75</td>
<td align="center">60</td>
<td align="center">15</td>
<td align="char" char=".">
<bold>0.01&#x2a;</bold>
</td>
</tr>
<tr>
<td align="left">&#x2003;Stage (3)</td>
<td align="center">11</td>
<td align="center">10</td>
<td align="center">1</td>
<td align="center">&#x2014;</td>
<td align="center">20</td>
<td align="center">10</td>
<td align="center">10</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="9" align="left">Molecular subtypes</td>
</tr>
<tr>
<td align="left">&#x2003;Lum A</td>
<td align="char" char=".">29</td>
<td align="char" char=".">27</td>
<td align="char" char=".">2</td>
<td align="center">&#x2014;</td>
<td align="center">34</td>
<td align="center">27</td>
<td align="center">7</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">&#x2003;Lum B</td>
<td align="char" char=".">24</td>
<td align="char" char=".">23</td>
<td align="char" char=".">1</td>
<td align="char" char=".">0.6</td>
<td align="center">36</td>
<td align="center">23</td>
<td align="center">13</td>
<td align="char" char=".">0.4</td>
</tr>
<tr>
<td align="left">&#x2003;HER2 Neu</td>
<td align="char" char=".">13</td>
<td align="char" char=".">13</td>
<td align="char" char=".">0</td>
<td align="center">&#x2014;</td>
<td align="center">16</td>
<td align="center">13</td>
<td align="center">3</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">&#x2003;TNBC</td>
<td align="char" char=".">7</td>
<td align="char" char=".">7</td>
<td align="char" char=".">0</td>
<td align="center">&#x2014;</td>
<td align="center">9</td>
<td align="center">7</td>
<td align="center">2</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Association study between methylated <italic>FOXP3</italic> and FOXP3 protein expression in stratification with clinicopathological features.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Clinical characteristics</th>
<th rowspan="2" align="center">Total (N)</th>
<th rowspan="2" align="center">
<italic>FOXP3</italic> methylation status</th>
<th colspan="2" align="center">FOXP3 expression</th>
<th rowspan="2" align="left">
<italic>p-</italic>value</th>
</tr>
<tr>
<th align="left">Absent</th>
<th align="left">Present</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">Age</td>
</tr>
<tr>
<td rowspan="2" align="left">Age &#x3c; 50</td>
<td rowspan="2" align="center">30</td>
<td align="center">M</td>
<td align="center">29</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">7</td>
<td align="center">13</td>
</tr>
<tr>
<td rowspan="2" align="left">Age &#x2265; 50</td>
<td rowspan="2" align="center">43</td>
<td align="center">M</td>
<td align="center">41</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">18</td>
<td align="center">29</td>
</tr>
<tr>
<td colspan="6" align="left">Menopausal status</td>
</tr>
<tr>
<td rowspan="2" align="left">Premenopausal</td>
<td rowspan="2" align="center">22</td>
<td align="center">M</td>
<td align="center">22</td>
<td align="center">0</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">5</td>
<td align="center">13</td>
</tr>
<tr>
<td rowspan="2" align="left">Postmenopausal</td>
<td rowspan="2" align="center">51</td>
<td align="center">M</td>
<td align="center">48</td>
<td align="center">3</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">20</td>
<td align="center">29</td>
</tr>
<tr>
<td colspan="6" align="left">ER status</td>
</tr>
<tr>
<td rowspan="2" align="left">Negative</td>
<td rowspan="2" align="center">21</td>
<td align="center">M</td>
<td align="center">21</td>
<td align="center">0</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">5</td>
<td align="center">11</td>
</tr>
<tr>
<td rowspan="2" align="left">Positive</td>
<td rowspan="2" align="center">52</td>
<td align="center">M</td>
<td align="center">49</td>
<td align="center">3</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">20</td>
<td align="center">31</td>
</tr>
<tr>
<td colspan="6" align="left">PR status</td>
</tr>
<tr>
<td rowspan="2" align="left">Negative</td>
<td rowspan="2" align="center">34</td>
<td align="center">M</td>
<td align="center">33</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">10</td>
<td align="center">23</td>
</tr>
<tr>
<td rowspan="2" align="left">Positive</td>
<td rowspan="2" align="center">39</td>
<td align="center">M</td>
<td align="center">37</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">15</td>
<td align="center">19</td>
</tr>
<tr>
<td colspan="6" align="left">HER2 status</td>
</tr>
<tr>
<td rowspan="3" align="left">Negative</td>
<td rowspan="3" align="center">37</td>
<td rowspan="2" align="center">M</td>
<td align="center">35</td>
<td rowspan="2" align="center">2</td>
<td rowspan="3" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td rowspan="2" align="center">9</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">24</td>
</tr>
<tr>
<td rowspan="3" align="left">Positive</td>
<td rowspan="3" align="center">36</td>
<td align="center">M</td>
<td rowspan="2" align="center">35</td>
<td rowspan="2" align="center">1</td>
<td rowspan="3" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td rowspan="2" align="center">U</td>
</tr>
<tr>
<td align="center">16</td>
<td align="center">18</td>
</tr>
<tr>
<td colspan="6" align="left">Tumor size</td>
</tr>
<tr>
<td rowspan="2" align="left">&#x3c;5</td>
<td rowspan="2" align="center">35</td>
<td align="center">M</td>
<td align="center">33</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">13</td>
<td align="center">16</td>
</tr>
<tr>
<td rowspan="2" align="left">&#x2265;5</td>
<td rowspan="2" align="center">38</td>
<td align="center">M</td>
<td align="center">37</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">12</td>
<td align="center">26</td>
</tr>
<tr>
<td colspan="6" align="left">Lymph node status</td>
</tr>
<tr>
<td rowspan="2" align="left">Positive</td>
<td rowspan="2" align="center">59</td>
<td align="center">M</td>
<td align="center">57</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">23</td>
<td align="center">37</td>
</tr>
<tr>
<td rowspan="2" align="left">Negative</td>
<td rowspan="2" align="center">14</td>
<td align="center">M</td>
<td align="center">13</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.005</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">2</td>
<td align="center">5</td>
</tr>
<tr>
<td colspan="6" align="left">Clinical stage</td>
</tr>
<tr>
<td rowspan="2" align="left">Stage (1 &#x2b; 2)</td>
<td rowspan="2" align="center">22</td>
<td align="center">M</td>
<td align="center">20</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.07</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">15</td>
<td align="center">8</td>
</tr>
<tr>
<td rowspan="2" align="left">Stage (3 &#x2b; 4)</td>
<td rowspan="2" align="center">51</td>
<td align="center">M</td>
<td align="center">50</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">10</td>
<td align="center">34</td>
</tr>
<tr>
<td colspan="6" align="left">Histological stage/grade</td>
</tr>
<tr>
<td rowspan="2" align="left">Stage (1 &#x2b; 2)</td>
<td rowspan="2" align="center">62</td>
<td align="center">M</td>
<td align="center">60</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">20</td>
<td align="center">38</td>
</tr>
<tr>
<td rowspan="2" align="left">Stage (3)</td>
<td rowspan="2" align="center">11</td>
<td align="center">M</td>
<td align="center">10</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.12</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">5</td>
<td align="center">4</td>
</tr>
<tr>
<td colspan="6" align="left">Molecular subtypes</td>
</tr>
<tr>
<td rowspan="2" align="left">Lum A</td>
<td rowspan="2" align="center">29</td>
<td align="center">M</td>
<td align="center">27</td>
<td align="center">2</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">7</td>
<td align="center">15</td>
</tr>
<tr>
<td rowspan="2" align="left">Lum B</td>
<td rowspan="2" align="center">24</td>
<td align="center">M</td>
<td align="center">23</td>
<td align="center">1</td>
<td rowspan="2" align="char" char=".">0.0001&#x2a;</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">13</td>
<td align="center">16</td>
</tr>
<tr>
<td rowspan="2" align="left">Her2 neu</td>
<td rowspan="2" align="center">13</td>
<td align="center">M</td>
<td align="center">13</td>
<td align="center">0</td>
<td rowspan="2" align="char" char=".">0.06</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">3</td>
<td align="center">2</td>
</tr>
<tr>
<td rowspan="2" align="left">TNBC</td>
<td rowspan="2" align="center">7</td>
<td align="center">M</td>
<td align="center">7</td>
<td align="center">0</td>
<td rowspan="2" align="char" char=".">0.002</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">2</td>
<td align="center">9</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>
<italic>FOXP3</italic> expression is identified in tumors of the breast, prostate, lung, gastric, and thyroid (<xref ref-type="bibr" rid="B19">Liu et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B34">Yang et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B20">Ma et&#x20;al., 2014</xref>; the <xref ref-type="bibr" rid="B3">Chu et&#x20;al., 2015</xref>) suggesting its crucial role in the biology of cancer. The previous study demonstrated the inverse correlation between breast cancer angiogenesis and nuclear <italic>FOXP3</italic> expression. Adding to the same observation, the significant downregulation of <italic>FOXP3</italic> also resulted in the reduced survival in breast cancer (<xref ref-type="bibr" rid="B18">Li et&#x20;al., 2018</xref>) <italic>FOXP3</italic> has been reported to modulate the expression of various genes involved in the process of carcinogenesis to exert its suppressing role in tumor development (<xref ref-type="bibr" rid="B27">Szylberg et&#x20;al., 2016</xref>). At the same time, we cannot forget that significant studies have suggested the positive association between <italic>FOXP3</italic> expression and better survival in patients and the tumor-suppressive role of the <italic>FOXP3</italic> gene in breast cancer. Therefore, the present work investigated the <italic>FOXP3</italic> expression pattern and its correlation with various clinicopathological variables to strengthen its prognostic value and tumor-suppressive property. An earlier study demonstrated a quantitative method to assess the methylation status of <italic>FOXP3</italic> to understand the role of Treg cells in immunomodulation (<xref ref-type="bibr" rid="B31">Wieczorek et&#x20;al., 2009</xref>). In our study transcription factor, <italic>FOXP3</italic> promoter methylation and expression were studied and analyzed in breast cancer patients of the northern region of India using methylation-specific PCR, real-time PCR, and immunohistochemistry to assess its role as a potential biomarker. The study correlated the findings with the clinicopathological variables (age, histological grade, ER status, HER2 status, <italic>etc</italic>.) of the procured&#x20;cases.</p>
<p>In our study, at the mRNA level, nearly 63.5% (89/140) of cases were found to be downregulated (5.09 fold), and interestingly 86.5% (77/89) were linked with the histological grades I and II, suggesting the possible role of <italic>FOXP3</italic> in the early development of the disease. The study is supported by the previous studies on <italic>FOXP3</italic> expression at the transcript level (<xref ref-type="bibr" rid="B35">Zhang and Sun, 2010</xref>; <xref ref-type="bibr" rid="B9">Hinz et&#x20;al., 2007</xref>). Furthermore, apart from breast cancer, one of the studies pointed out that the upregulation of <italic>FOXP3</italic> in gastric cancer cells put a brake on GC cell growth in both <italic>in vivo</italic> and <italic>in&#x20;vitro</italic> studies (<xref ref-type="bibr" rid="B7">Hao et&#x20;al., 2014</xref>), unraveling the crucial role of <italic>FOXP3</italic> expression in different carcinomas.</p>
<p>The protein expression profile exhibited low or no expression in nearly 69% (95/140) of breast cancer cases, followed by either moderate or high expression in 32% (45/140) of the cases. The expression was either cytoplasmic or nuclear, which was demonstrated in different types of cancer (<xref ref-type="bibr" rid="B22">Merlo et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B12">Karanikas et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B35">Zhang and Sun, 2010</xref>; <xref ref-type="bibr" rid="B9">Hinz et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B13">Ladoire et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B28">Tao et&#x20;al., 2012</xref>). We did find a significant association between <italic>FOXP3</italic> protein&#x20;expression and the TNM stage (<italic>p</italic>-value, 0.035). Interestingly almost 74% (95/140) of the cases of stage (III and IV) harbored protein loss. Because of the above mentioned condition, it has been observed earlier that, in the most aggressive cancer of epithelial tissues, <italic>FOXP3</italic> may help in the suppression of cancer as these aggressive cancer tissues harbored very low or no expression of <italic>FOXP3</italic> at the transcript and protein levels (<xref ref-type="bibr" rid="B29">Wang et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B11">Jiang and Ruan, 2014</xref>; <xref ref-type="bibr" rid="B17">Li et&#x20;al., 2011</xref>).</p>
<p>The promoter methylation of <italic>FOXP3</italic> was observed in 52% of the cases (73/140) and significantly associated with Nottingham histological grades 1 and 2 (<italic>p</italic>-value 0.031). The finding depicts a strong association between promoter hyper-methylation and mRNA expression in deactivating or down-regulating the possible role of <italic>FOXP3</italic> in the suppression of breast cancer (<xref ref-type="bibr" rid="B4">Esteller, 2007</xref>; <xref ref-type="bibr" rid="B15">Li et&#x20;al., 2007</xref>).</p>
<p>While analyzing an association between protein loss and hypermethylated promoter cases, we found a compelling association as out of 95 protein loss cases, 70 cases possessed methylation at the promoter region (70/95, 73.68%), whereas in a total of 67 unmethylated cases, 62.6% (42/67) exhibited the presence of protein. More intriguing results came out while analyzing methylation and protein loss with each other, as 95.7% methylated cases (67/70) with lymph node metastasis displayed protein loss. The findings are strongly supported by previous studies that have shown the association to be significantly lower in tumor grade and lymph node involvement in the breast tumor cells with positive <italic>FOXP3</italic> expression (<xref ref-type="bibr" rid="B14">Ladoire et&#x20;al., 2012</xref>). Thus, the loss in <italic>FOXP3</italic> due to epigenetic change like methylation may serve as a potential biomarker in cases with lymph node metastasis.</p>
<p>In summary, our data provide some intriguing findings of <italic>FOXP3</italic> expression and its association with different clinicopathological parameters. However, the present study on a smaller sample size may weaken the statistical power. Therefore, further investigation on different sets of the population with a larger sample size is required to establish <italic>FOXP3</italic> as a potential cancer biomarker for diagnostic and prognostics purposes.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>All datasets generated for this study are included in the article/supplementary material.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>This study was in agreement with the ethical standards of the host institute Jamia Millia Islamia University and AIIMS, New Delhi, India, and also as per the guidelines of the Helsinki Declaration in 1964 and its amendments. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>Sa and SH took charge of the experimental design and execution. The experiments were executed by Sa. The reagents, materials, and analysis tools were contributed by Sa, MN, MK, and SD. Manuscript preparation was carried out by Sa and co-authors.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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 sec-type="disclaimer" id="s9">
<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>
<ack>
<p>UGC-MANF for Higher Studies (India).</p>
</ack>
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