<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ABCR</journal-id><journal-title-group><journal-title>Advances in Breast Cancer Research</journal-title></journal-title-group><issn pub-type="epub">2168-1589</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abcr.2018.73013</article-id><article-id pub-id-type="publisher-id">ABCR-85111</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prognostic and Clinicopathological Value of the Expression of FOXC2 &amp; YKL-40 in Carcinoma of the Breast, an Immunohistochemical Study
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Enas</surname><given-names>M. Fouad</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abla</surname><given-names>S. Mahmoud</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rham</surname><given-names>Z. Ahmed</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Basant</surname><given-names>Sh El Shafaay</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ramadan</surname><given-names>Mahmoud</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gamal</surname><given-names>Osman</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohamed</surname><given-names>Farouk Amin</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Loay</surname><given-names>M. Gertallah</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Manar</surname><given-names>A. Bessar</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Lecturer of General Surgery, Faculty of Medicine, Zagazig University, Zagazig, Egypt</addr-line></aff><aff id="aff1"><addr-line>Lecturer of Pathology, Faculty of Medicine, Zagazig University, Zagazig, Egypt</addr-line></aff><aff id="aff4"><addr-line>Lecturer of Clinical Oncology &amp;amp; Nuclear Medicine, Faculty of Medicine, Zagazig, Egypt</addr-line></aff><aff id="aff6"><addr-line>Lecturer of Radiology, Faculty of Medicine, Zagazig University, Zagazig, Egypt</addr-line></aff><aff id="aff3"><addr-line>Lecturer of Medical Oncology, Faculty of Medicine, Zagazig University, Zagazig, Egypt</addr-line></aff><aff id="aff2"><addr-line>Lecturer of Pathology, Faculty of Medicine, Beni-Suef University, Cairo, Egypt</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>olaharb2015@gmail.com(LMG)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>06</month><year>2018</year></pub-date><volume>07</volume><issue>03</issue><fpage>211</fpage><lpage>230</lpage><history><date date-type="received"><day>2,</day>	<month>May</month>	<year>2018</year></date><date date-type="rev-recd"><day>3,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>6,</day>	<month>June</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background:
   Breast cancer is considered the commonest and the most fatal female cancer worldwide. There is to an urgent need for discovering recent therapies to identify patient prognosis and improve treatment strategies. Fork-head Box C2 (FOXC2) is a transcription factor which is a key regulator of cancer stem cells (CSC) properties and epithelial mesenchymal transition (EMT) e.g. cancer initiation, metastatic capacity, and resistance to chemotherapy. FOXC2 roles in CSCs properties and EMT regulation in breast cancer needs detailed studies. YKL-40 is known as chitinase-3-like-1 belongs to a family of mammalian proteins that have an amino acid sequence which is similar to the 18-glycosyl hydrolase bacterial chitinases group. Recent studies have found aberrant YKL-40 elevated expression in cancer of various organs, so it may be used as a recent prognostic biomarker for patients with breast cancer. Former researchers have assessed the expression of FOXC2
   
  &amp; YKL-40 separately in cancer patients and relations to prognosis of patients; however, no studies assessed them together in breast cancer patients and the previous results were inconclusive. Accordingly, our study aimed at evaluation of immunohistochemical expressions of FOXC2
   
  &amp; YKL-40 in carcinoma of the breast in a trial to clarify the relation 
  among
   their expressions, clinicopathological parameters and recurrence of the disease after successive therapy and patients’ prognosis. <b>Methods: </b>we have evaluated expressions of FOXC2
   
  &amp; YKL-40 in sections from 50 paraffin blocks of carcinoma of the breast using immunohistochemistry. We followed up our patients for 3 years for assessment of recurrence of the disease after successive therapy and survival rates. We analyzed the relationship between their combined expression clinicopathological and prognostic parameters. <b>Results:</b> high FOXC2 expression was associated with older age of the patient (p
   
  = 0.002), negative ER (p
   
  = 0.009), &amp; PR (p
   
  = 0.008), positive HER2neu (p
   
  = 0.02), aggressive molecular subtype, higher grade of the tumor (p
   
  = 0.03), high incidence of distant metastasis (p
   
  = 0.011), high incidence of lymph node metastasis, higher KI labeling index, advanced stage, (p
   
  &lt;
   
  0.001). high YKL-40<b> </b>expression was positively correlated with older age of the patient (p
   
  = 0.002), negative ER (p
   
  = 0.03), &amp; PR (p
   
  = 0.04), positive HER2neu (p
   
  = 0.02), higher grade of the tumor (p
   
  = 0.003), high incidence of distant metastasis (p
   
  = 0.04), higher KI labeling index, aggressive molecular subtype, advanced stage, high incidence of lymph node metastasis (p
   
  &lt;
   
  0.001).
   
  We have found that patients with FOXC2 and YKL-40 overexpression have higher incidence of recurrence of the disease after therapy, poor RFS&amp; OS rates (p
   
  &lt;
   
  0.001). <b>Conclusion:</b> Higher expression levels of FOXC2
   
  &amp; YKL-40 are markers of poor prognosis in breast cancer.
 
</p></abstract><kwd-group><kwd>Carcinoma of the Breast</kwd><kwd> FOXC2</kwd><kwd> YKL-40</kwd><kwd> Prognosis</kwd><kwd> Immunohistochemistry</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Breast cancer is considered the commonest and the most fatal female cancer worldwide [<xref ref-type="bibr" rid="scirp.85111-ref1">1</xref>] . The incidence and seriousness of such type of cancer continue to rise although there is improvement in the clinical outcome and patients’ prognosis due to advances in treatments approaches recently that point to an urgent need for discovering recent therapies to identify patient prognosis and improve treatment strategies [<xref ref-type="bibr" rid="scirp.85111-ref2">2</xref>] . The most commonly used prognostic markers of breast cancer are TNM stage, histological grade and status of lymph node in addition to hormonal receptors and human epidermal growth factor (EGF) receptor 2 (HER2) statuses [<xref ref-type="bibr" rid="scirp.85111-ref3">3</xref>] . But the value of these markers not sufficient to be individualized and of high effect for most patients, that leads much to identify more clinically applicable and reliable biomarkers for identification of prognosis of such a type of cancer.</p><p>So many studies have identified activation of the epithelial mesenchymal transition (EMT) which is a trans-differentiation program which is markedly activated by malignant cells. EMT is a process in which the malignant epithelial cells have lost their epithelial characters and experience down regulation of epithelial biomarkers then acquire mesenchymal characters like increased motility, invasion and increased apoptosis resistance; EMT is induced by so many signaling pathways [<xref ref-type="bibr" rid="scirp.85111-ref4">4</xref>] . FOX (Fork-head box) are a family of transcription factors that play important roles in regulating expression of genes which could be involved in growth, differentiation, and proliferation of cells. There are plethora of FOX proteins that play essential roles in carcinogenesis, particularly involved in cancer progression, so that FOX proteins might be beneficial as therapeutic targets and prognostic markers for cancer [<xref ref-type="bibr" rid="scirp.85111-ref5">5</xref>] .</p><p>Cancer stem cells (CSCs) which are cells having stem cell criteria are a subpopulation of cancer cells that is particularly play an essential role in the aggressive behavior and chemoresistance of the cancer. Fork-head Box C2 (FOXC2) is a transcription factor which is a key regulator of cancer stem cells properties and EMT e.g. cancer initiation, metastatic capacity, and resistance to chemotherapy. FOXC2 roles in CSC properties and EMT regulation in breast cancer needs detailed studies [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] .</p><p>YKL-40 that is known as chitinase-3-like-1 belongs to a family of mammalian proteins, have an amino acid sequence which is similar to the 18-glycosyl hydrolase bacterial chitinases group [<xref ref-type="bibr" rid="scirp.85111-ref7">7</xref>] &amp; [<xref ref-type="bibr" rid="scirp.85111-ref8">8</xref>] . YKL-40 is implicated in fibroblasts and chondrocytes proliferation, macrophage differentiation, inflammation and extracellular matrix remodeling [<xref ref-type="bibr" rid="scirp.85111-ref9">9</xref>] .</p><p>Recent studies have found aberrant YKL-40 elevated expression in cancer of various organs [<xref ref-type="bibr" rid="scirp.85111-ref10">10</xref>] , so it may be used as a recent prognostic biomarker for cancer patients. Previous studies have evaluated the expression of FOXC2 &amp; YKL-40 separately in cancer patients and relations to prognosis of patients; however, no studies assessed them together in breast cancer patients and the previous results were inconclusive.</p><p>Accordingly, our study aimed at evaluation of immunohistochemical expressions of FOXC2 &amp; YKL-40 in carcinoma of the breast in a trial to clarify the relation between their expressions, clinicopathological parameters and recurrence of the disease after successive therapy and patients’ prognosis.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>Our study includes fifty breast cancer cases which have been referred to General Surgery departments in Faculty of Medicine in Zagazig University in time from November 2014 to November 2017 as they are having a breast lump the patients sent to Department of Radiology to take true cut needle biopsy, that is sent to Department, of Pathology in both Zagazig and Beni-Suef Universities, where all samples are processed, diagnosed and evaluated as breast carcinoma. Modified radical mastectomy was done in addition to axillary clearance, then all samples are processed, diagnosed, graded and staged in Pathology Departments in both Zagazig and Beni-Suef Universities, Patients were managed, treated later on and followed up in Clinical Oncology and nuclear medicine Department, Zagazig University for further management and follow-up for 3 years. Patients were followed up till death or their most recent medical examination. The follow-up deadline was December 2017.</p><p>We prepared 50 formalin fixed paraffin embedded blocks of breast carcinoma that we have prepared from the 50 patients in Pathology Department, Faculty of Medicine, Zagazig University. We did immunohistochemistry for FOXC-2 &amp; YKL-40 on these 50 formalin fixed paraffin embedded blocks of breast carcinoma. We identify the age of all cases, tumor size. graded all samples and staged them, evaluated the satus of lymph nodes and detect if there is distant metastasis (Figures 1-5).</p><sec id="s2_1"><title>2.1. Immunohistochemical Staining</title><p>We have used the avidin-biotin-peroxidase complex method for immunohistochemical staining [<xref ref-type="bibr" rid="scirp.85111-ref11">11</xref>] , where we have incubated the sections with primary Goat polyclonal anti-Anti-FOXC2 antibody-ChIP Grade (Abcam ab5060) and primary mouse monoclonal anti-YKL-40 antibody [AT2C10] (ab86428) overnight at 4˚C and this was followed by incubation with the secondary antibody (SP-9000) and DAB (C-0010) stain. The sections were incubated with Mayer’s haematoxylin as a counterstained, dehydrated, then cleaned, and mounted. The negative controls</p><p>were stained without adding the primary antibodies but replaced them with usual phosphate buffered saline (PBS).</p></sec><sec id="s2_2"><title>2.2. Evaluation of Immunohistochemical Expressions of FOXC-2</title><p>We recognized FOXC-2 expression as brown staining that was localized mainly to the nucleus of cancer cells. We recognized YKL-40 expression as brown staining that was localized mainly to the cytoplasm of cancer cells.</p><p>We have evaluated FOXC2 &amp; YKL-40 expression by using a combined scoring system that is based on summation of staining intensity and extent of the stain. Both intensity and extent of positive cells take scores from 0 to 3 respectively, as follows: 0, no staining, or staining in &lt;10% of cancer cells; 1+, weak staining in ≥10% of the tumor cells; 2+, moderate staining in ≥10% of the tumor cells; and 3+, strong staining in ≥10% of cancer cells. We have considered 0 and 1+ scores</p><p>to have low FOXC2 expression, and considered scores of 2+ and 3+ to be high FOXC2 expression [<xref ref-type="bibr" rid="scirp.85111-ref12">12</xref>] .</p></sec><sec id="s2_3"><title>2.3. Statistical Analysis</title><p>We have performed all our statistics by using SPSS 22.0 for windows. We have used Mann Whitney U test for the comparison between 2 sets of non-normally</p><p>distributed parameters. And Kruskal Wallis H test to compare between more than two sets of normally distributed parameters. We have used Pearson’s Chi-square test or Fisher’s exact test to compare percent of categorical variables when was appropriate. Strength of relationship between FOXC2, YKL-40 &amp; clinicopathological parameters were assessed by using appropriate coefficient e.g. Spearman’s. (+) sign is an indicator for direct relationship while (−) sign is an indicator for inverse relationship. Local Recurrence Free Survival (LRFS) is the time from surgery to time of detection of local recurrence or till the most recent follow-up in which no local recurrence was detected (censored). Overall Survival (OS) is the time from cancer diagnosis up till death or the most recent follow-up data (censored). Stratification of OS and LRFS was done according to clinicopathological parameters and immunohistochemical markers. These survival rates were estimated using the Kaplan-Meier plot, and we have compared them by using two-sided exact log-rank test. A p-value &lt; 0.05 was considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Clinicopathological Data of Our Patients Were Detailed in <xref ref-type="table" rid="table1">Table 1</xref></title><p>We have included 50 female patients with carcinoma breast in our study with age ranged from (35 - 75) years (Mean: 50.23 &#177; 11.99 years).</p><p>Thirty nine (78%) cases were diagnosed as invasive duct carcinoma no special type (IDC) and the remaining 11 (22%) cases were diagnosed as other subtypes e.g. invasive lobular carcinoma (ILC).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Clinicopathological parameters, FOXC2 &amp; YKL-40 expression in our 50 patients with breast carcinoma</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percent</th><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >T</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >50.23 &#177; 11.99</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td></tr><tr><td align="center" valign="middle" >Median Range</td><td align="center" valign="middle" >50 (35 - 75)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >≤55 years</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >44%</td></tr><tr><td align="center" valign="middle" >&gt;55 years</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >Pathological type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Lymph node</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >IDC</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >78%</td><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >22%</td><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td></tr><tr><td align="center" valign="middle" >Grade</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grade I</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >14%</td><td align="center" valign="middle" >N0</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td></tr><tr><td align="center" valign="middle" >Grade II</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >26%</td><td align="center" valign="middle" >N1</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12%</td></tr><tr><td align="center" valign="middle" >Grade III</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >N2</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >32%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >N3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >ER</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >M</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >M0</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >80%</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >M1</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >PR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >AJCC Stage group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >45%</td><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >55%</td><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >HER2/neu</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >44%</td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Ki-67</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >FOXC2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >low</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td></tr><tr><td align="center" valign="middle" >high</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td></tr><tr><td align="center" valign="middle" >Molecular type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >YKL-40</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Luminal A</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >46%</td></tr><tr><td align="center" valign="middle" >Luminal B</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >54%</td></tr><tr><td align="center" valign="middle" >HER2 amplified</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Triple -ve</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Follow-up (months)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >28.31 &#177; 7.27</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Median (Range)</td><td align="center" valign="middle" >30 (15 - 36)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Outcome</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Disease free</td><td align="center" valign="middle" >30/34</td><td align="center" valign="middle" >84.1%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Local recurrence (LR)</td><td align="center" valign="middle" >7/34</td><td align="center" valign="middle" >15.9%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Died</td><td align="center" valign="middle" >13/50</td><td align="center" valign="middle" >38.3%</td></tr></tbody></table></table-wrap><p>Categorical variables were expressed as number (percentage). Continuous variables were expressed as mean &#177; SD &amp; median (range).</p></sec><sec id="s3_2"><title>3.2. Correlation between FOXC2 Immunoexpression and Clinicopathological Parameters: <xref ref-type="table" rid="table2">Table 2</xref></title><p>FOXC2 was nuclear and its high expression was detected in 30 (60%) of cases and its expression was significantly correlated positively with advanced age of the patient (p = 0.002), poor differentiation of the tumor (p = 0.03), negative ER (p= 0.009), &amp; PR (p = 0.008), positive HER2neu (p = 0.02), aggressive molecular subtype, high incidence of distant metastasis (p = 0.011), higher KI labeling index, advanced stage, high incidence of lymph node metastasis (p &lt; 0.001).</p><p>No association correlation was found between FOXC-2 expression and histopathological subtype.</p></sec><sec id="s3_3"><title>3.3. YKL-40 Immunoexpression and Its Correlation Clinicopathological Features: <xref ref-type="table" rid="table3">Table 3</xref></title><p>YKL-40 was cytoplasmic and its high expression was detected in 27 (54%) of cases and its expression was significantly correlated positively with older patients age (p = 0.002), poor tumor differentiation (p = 0.003), negative ER (p = 0.03), &amp; PR (p = 0.04), positive HER2neu (p = 0.02), high incidence of distant metastasis (p = 0.04), aggressive molecular subtype, higher KI labeling index, advanced stage, high incidence of lymph node metastasis (p &lt; 0.001).</p><p>No association was found was found between FOXC-2 expression and histopathological subtype.</p><p>Correlation between tissue protein expression of FOXC2 and YKL-40 in our cases.</p><p>We found a direct relationship between FOXC2 and YKL-40 (Spearman’s r = +0.949), (p &lt; 0.001) (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_4"><title>3.4. Follow-Up Results: <xref ref-type="table" rid="table1">Table 1</xref> &amp; <xref ref-type="table" rid="table5">Table 5</xref></title><p>We have found that 84.1% of our cases were disease free after 3years 15.9% of patients had local recurrence and 38.3% have died.</p><p>The 3-year recurrence free survival (RFS) and overall survival (OS) rates of our patients were 83.6% &amp; 60.8% for all cases respectively.</p><p>We have found that patients with FOXC2 and YKL-40 overexpression have dismal out come as they have higher incidence of recurrence of the disease after therapy, poor RFS &amp; OS rates and these results were statistically highly significant (p &lt; 0.001).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>When we assessed the expression of FOXC-2 in 50 cases that were diagnosed with breast carcinoma with breast cancer of different grades and stages we have found that high FOXC-2 protein expression was positively associated with poor clincopathological criteria like older age of the patient (p = 0.002), negative ER (p = 0.009), &amp; PR (p = 0.008), positive HER2neu (p = 0.02), aggressive molecular subtype, higher grade of the tumor (p = 0.03), high incidence of distant</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Correlations between clinicopathological parameters and FOXC2 expression in our patients</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Characteristics</th><th align="center" valign="middle"  colspan="2"  >All</th><th align="center" valign="middle"  colspan="4"  >FOXC2</th><th align="center" valign="middle"  rowspan="3"  >p-value</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >(N = 50)</td><td align="center" valign="middle"  colspan="2"  >Low (N = 20)</td><td align="center" valign="middle"  colspan="2"  >High (N = 30)</td></tr><tr><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(%)</td><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(40%)</td><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(60%)</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >56.23 &#177; 10.99</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >49.91</td><td align="center" valign="middle" >&#177;8.72</td><td align="center" valign="middle" >60.16</td><td align="center" valign="middle" >&#177;10.50</td><td align="center" valign="middle"  rowspan="2"  >0.002</td></tr><tr><td align="center" valign="middle" >Median (Range)</td><td align="center" valign="middle" >56 (39 - 87)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >(39 - 67)</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >(40 - 87)</td></tr><tr><td align="center" valign="middle" >≤55 years</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >(65.2%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(21.6%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >&gt;55 years</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(34.8%)</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(78.4%)</td></tr><tr><td align="center" valign="middle" >Pathological type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >IDC</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >78%</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >(49%)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(51%)</td><td align="center" valign="middle"  rowspan="2"  >0.448‡</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >22%</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(36.4%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(63.6%)</td></tr><tr><td align="center" valign="middle" >Grade</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grade I</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >14%</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(30.4%)</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(8.1%)</td><td align="center" valign="middle"  rowspan="3"  >0.03&#167;</td></tr><tr><td align="center" valign="middle" >Grade II</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >26%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(39.1%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(16.2%)</td></tr><tr><td align="center" valign="middle" >Grade III</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(30.4%)</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >(75.7%)</td></tr><tr><td align="center" valign="middle" >ER</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(4.2%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(95.8%)</td><td align="center" valign="middle"  rowspan="2"  >0.009‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(75%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >(25%)</td></tr><tr><td align="center" valign="middle" >PR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >45%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(4.2%)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(80%)</td><td align="center" valign="middle"  rowspan="2"  >0.008‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >55%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(75%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(20%)</td></tr><tr><td align="center" valign="middle" >HER2/neu</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(77.1%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >(22.9%)</td><td align="center" valign="middle"  rowspan="2"  >0.02‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(4%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(96%)</td></tr><tr><td align="center" valign="middle" >Ki-67</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(87%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(13%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(21.6%)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(78.4%)</td></tr><tr><td align="center" valign="middle" >Molecular type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Luminal A</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >41.7%</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(100%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >Luminal B</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(10%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(90%)</td></tr><tr><td align="center" valign="middle" >HER2 amplified</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >25%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(100%)</td></tr><tr><td align="center" valign="middle" >Triple-ve</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(20%)</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(80%)</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(39.1%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >0.002&#167;</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(26.1%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(13.5%)</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >44%</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(34.8%)</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >(37.8%0</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(37.8%)</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle" >N0</th><th align="center" valign="middle" >18</th><th align="center" valign="middle" >36%</th><th align="center" valign="middle" >18</th><th align="center" valign="middle" >(82.6%)</th><th align="center" valign="middle" >0</th><th align="center" valign="middle" >(0%)</th><th align="center" valign="middle"  rowspan="4"  >0.002&#167;</th></tr></thead><tr><td align="center" valign="middle" >N1</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(8.7%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(13.5%)</td></tr><tr><td align="center" valign="middle" >N2</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >32%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(4.3%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(54.1%)</td></tr><tr><td align="center" valign="middle" >N3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(4.3%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(32.4%)</td></tr><tr><td align="center" valign="middle" >Lymph node</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(82.6%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(17.4%)</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >(83%)</td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >M0</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >80%</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(55.3%)</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >(44.7%)</td><td align="center" valign="middle"  rowspan="2"  >0.04‡</td></tr><tr><td align="center" valign="middle" >M1</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(15.4%)</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >(48.6%)</td></tr><tr><td align="center" valign="middle" >AJCC Stage group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(39.1%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(43.5%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(10.8%)</td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >22%</td><td align="center" valign="middle" >44%</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(17.4%)</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >(45.6%)</td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >10%</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >(43.2%)</td></tr><tr><td align="center" valign="middle" >YKL-40</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(100%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(27%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >46%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(73%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >54%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(39.1%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td></tr></tbody></table></table-wrap></table-wrap-group><p>Categorical variables were expressed as number (percentage), continuous variables were expressed as mean &#177; SD &amp; median (range); Mann Whitney U test; ‡ Chi-square test; &#167; Chi-square test for trend; p &lt; 0.05 is significant.</p><p>metastasis (p = 0.011), high incidence of lymph node metastasis, higher KI labeling index, advanced stage, (p &lt; 0.001) and our results were similar to results of [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] &amp; [<xref ref-type="bibr" rid="scirp.85111-ref13">13</xref>] that found the same results in breast cancer and also similar to previous studies in cancers of other organs e.g. Quan et al. [<xref ref-type="bibr" rid="scirp.85111-ref14">14</xref>] , &amp; LIU B et al. [<xref ref-type="bibr" rid="scirp.85111-ref11">11</xref>] , in ovarian carcinomas and Cui et al. [<xref ref-type="bibr" rid="scirp.85111-ref15">15</xref>] , in colon cancer who proved the association between FOXC2 overexpression and poor prognosis in those cancer types.</p><p>Watanabe et al. [<xref ref-type="bibr" rid="scirp.85111-ref16">16</xref>] , showed that the high expression of FOXC2 in primary extra-hepatic cholangiocarcinoma (EHCC) samples was associated with cancer progression and a poor prognosis that was similar to our results. Also Nishida et al. [<xref ref-type="bibr" rid="scirp.85111-ref17">17</xref>] , results proved that high expression of FOXC2 is associated with cancer progression and poor prognosis of esophageal cancer. Our results could be explained by the role of FOXC-2 in EMT induction and stem cell properties in malignant cells as stated by Pietil&#228; et al. [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] , that identified FOXC2 as an EMT key regulator and could stimulate stem cell characters in cancer initiation, progression and resistance to chemotherapy.</p><p>We have proved that FOXC-2 over expression was related to aggressive molecular subtype particularly triple negative breast carcinomas (TNBCs) that was in line with results of Hollier et al. [<xref ref-type="bibr" rid="scirp.85111-ref13">13</xref>] , who found that FOXC2 levels were up-regulated in triple negative breast carcinoma and also up-regulated in the</p><table-wrap-group id="3"><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlations between clinicopathological parameters and YKL-40 expression in our patients</title></caption><table-wrap id="3_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Characteristics</th><th align="center" valign="middle"  colspan="2"  >All</th><th align="center" valign="middle"  colspan="4"  >YKL-40</th><th align="center" valign="middle"  rowspan="3"  >p-value</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >(N = 50)</td><td align="center" valign="middle"  colspan="2"  >Low (N = 23)</td><td align="center" valign="middle"  colspan="2"  >High (N = 27)</td></tr><tr><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(%)</td><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(46%)</td><td align="center" valign="middle" >No.</td><td align="center" valign="middle" >(54%)</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >56.23 &#177; 10.99</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >49.54</td><td align="center" valign="middle" >&#177;7.94</td><td align="center" valign="middle" >64.40</td><td align="center" valign="middle" >&#177;8.39</td><td align="center" valign="middle"  rowspan="2"  >0.002</td></tr><tr><td align="center" valign="middle" >Median (Range)</td><td align="center" valign="middle" >56 (39 - 87)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >(39 - 67)</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >(55 - 87)</td></tr><tr><td align="center" valign="middle" >≤55 years</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(69.7%)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >&gt;55 years</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(30.3%)</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >(100%)</td></tr><tr><td align="center" valign="middle" >Pathological type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >IDC</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >81.7%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >(49%)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(51%)</td><td align="center" valign="middle"  rowspan="2"  >0.448‡</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >18.3%</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(36.4%)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(63.6%)</td></tr><tr><td align="center" valign="middle" >Grade</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grade I</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >14%</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(30.3%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="3"  >0.003&#167;</td></tr><tr><td align="center" valign="middle" >Grade II</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >26%</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(45.5%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td></tr><tr><td align="center" valign="middle" >Grade III</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(24.2%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(100%)</td></tr><tr><td align="center" valign="middle" >ER</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(4.2%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(95.8%)</td><td align="center" valign="middle"  rowspan="2"  >0.03‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(75%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(25%)</td></tr><tr><td align="center" valign="middle" >PR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >45%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(4.2%)</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >(95.8%)</td><td align="center" valign="middle"  rowspan="2"  >0.04‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >55%</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(75%)</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(25%)</td></tr><tr><td align="center" valign="middle" >HER2/neu</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(87%)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(13%)</td><td align="center" valign="middle"  rowspan="2"  >0.02‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(21.6%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(78.4%)</td></tr><tr><td align="center" valign="middle" >Ki-67</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(87%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(21.6%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(78.4%)</td></tr><tr><td align="center" valign="middle" >Molecular type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Luminal A</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >41.7%</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(100%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >Luminal B</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(10%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(90%)</td></tr><tr><td align="center" valign="middle" >HER2 amplified</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >25%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(100%)</td></tr><tr><td align="center" valign="middle" >Triple-ve</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >16.7%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(20%)</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(80%)</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(39.4%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >0.002&#167;</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(33.3%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >44%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(27.3%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(48.1%)</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(51.9%)</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="3_2"><table><tbody><thead><tr><th align="center" valign="middle" >N0</th><th align="center" valign="middle" >18</th><th align="center" valign="middle" >36%</th><th align="center" valign="middle" >14</th><th align="center" valign="middle" >(57.6%)</th><th align="center" valign="middle" >4</th><th align="center" valign="middle" >(0%)</th><th align="center" valign="middle"  rowspan="4"  >0.005&#167;</th></tr></thead><tr><td align="center" valign="middle" >N1</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12%</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(21.2%)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(0%)</td></tr><tr><td align="center" valign="middle" >N2</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >32%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(18.2%)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(55.6%)</td></tr><tr><td align="center" valign="middle" >N3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(3%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(44.4%)</td></tr><tr><td align="center" valign="middle" >Lymph node</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(57.6%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001‡</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(42.4%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(100%)</td></tr><tr><td align="center" valign="middle" >M</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >M0</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >80%</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(55.3%)</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >(44.7%)</td><td align="center" valign="middle"  rowspan="2"  >0.011‡</td></tr><tr><td align="center" valign="middle" >M1</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(15.4%)</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >(48.6%)</td></tr><tr><td align="center" valign="middle" >AJCC Stage group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(27.3%)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(42.4%)</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >(0%)</td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >44%</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(30.3%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(40.7%)</td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >20%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >(0%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(59.3%)</td></tr><tr><td align="center" valign="middle" >FOXC2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >40%</td><td align="center" valign="middle" >21.30</td><td align="center" valign="middle" >&#177;18.41</td><td align="center" valign="middle" >77.48</td><td align="center" valign="middle" >&#177;15.41</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >60%</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(0 - 56)</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >(44 - 97)</td></tr></tbody></table></table-wrap></table-wrap-group><p>Categorical variables were expressed as number (percentage), continuous variables were expressed as mean &#177; SD &amp; median (range); Mann Whitney U test; ‡ Chi-square test; &#167; Chi-square test for trend; p &lt; 0.05 is significant.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlations between clinicopathological parameters, FOXC2 &amp; YKL-40 expression in our patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >FOXC2</th><th align="center" valign="middle"  colspan="2"  >FOXC2 (%)</th><th align="center" valign="middle"  colspan="2"  >YKL-40</th><th align="center" valign="middle"  colspan="2"  >YKL-40 (%)</th></tr></thead><tr><td align="center" valign="middle" >r</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >r</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >r</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >r</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >+0.436</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.681</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.713</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.726</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Size</td><td align="center" valign="middle" >+0.525</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.709</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.770</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.747</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Grade</td><td align="center" valign="middle" >+0.444</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.675</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.750</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.728</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >+0.534</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.757</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.860</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.795</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >+0.832</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.842</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.843</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.833</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Stage</td><td align="center" valign="middle" >+0.790</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.893</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.868</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.862</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >FOXC2</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >+0.713</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.806</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >FOXC2 (%)</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >+0.837</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.949</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >YKL-40</td><td align="center" valign="middle" >+0.713</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.837</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td></tr><tr><td align="center" valign="middle" >YKL-40 (%)</td><td align="center" valign="middle" >+0.806</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >+0.949</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td></tr></tbody></table></table-wrap><p>r correlation coefficient; p &lt; 0.05 is significant.</p><p>remaining malignant cells that were retrieved from patients with carcinoma of the breast. Patients managed with conventional therapeutic modalities, that have been enriched with mesenchymal and stem cell characteristics. Hence all these</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlations between clinicopathological parameters, FOXC2 &amp; YKL-40 expression, recurrence and survival rates in our patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  colspan="2"   rowspan="2"  >All (N = 50)</th><th align="center" valign="middle"  colspan="2"  >LR free survival</th><th align="center" valign="middle"  rowspan="2"  >p-value</th><th align="center" valign="middle"  colspan="2"  >Overall survival</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tr><td align="center" valign="middle" >Median LRFS (months)</td><td align="center" valign="middle" >3 years LRFS</td><td align="center" valign="middle" >Median OS (months)</td><td align="center" valign="middle" >3 years OS</td></tr><tr><td align="center" valign="middle" >All patients</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >83.6%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >60.8%</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤50 years</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >(38.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >91.3%</td><td align="center" valign="middle"  rowspan="2"  >0.119&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >91.3%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >&gt;50 years</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >(61.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >75%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >41.1%</td></tr><tr><td align="center" valign="middle" >Size (cm)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5 cm</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >36%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >91.7%</td><td align="center" valign="middle"  rowspan="2"  >0.087&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >91.7%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >≥5 cm</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >64%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >73.7%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >39.4%</td></tr><tr><td align="center" valign="middle" >Grade</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grade I</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(16.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="3"  >0.139&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="3"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >Grade II</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(25%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >86.7%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >86.7%</td></tr><tr><td align="center" valign="middle" >Grade III</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >(58.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >72.2%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >37.6%</td></tr><tr><td align="center" valign="middle" >Lymph node</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >(31.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="2"  >0.010&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(68.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >70.4%</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >41.6%</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(21.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >84.6%</td><td align="center" valign="middle"  rowspan="4"  >0.028&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >84.6%</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >(18.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(36.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >77.8%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >62%</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(23.3%)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0%</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >0%</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N0</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >(31.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="4"  >0.006&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >N1</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >(11.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >71.4%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >71.4%</td></tr><tr><td align="center" valign="middle" >N2</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(35%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >78.6%</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >45.4%</td></tr><tr><td align="center" valign="middle" >N3</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(21.7%)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >33.3%</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >20.5%</td></tr><tr><td align="center" valign="middle" >Stage</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Stage I</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(15%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="4"  >0.226&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="4"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >Stage II</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(23.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >85.7%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >85.7%</td></tr><tr><td align="center" valign="middle" >Stage III</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >(35%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >75%</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >66.7%</td></tr><tr><td align="center" valign="middle" >Stage IV</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(26.7%)</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >---</td><td align="center" valign="middle" >17.5%</td><td align="center" valign="middle" >0%</td></tr><tr><td align="center" valign="middle" >FOXC2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >(38.3%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="2"  >0.001&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >100%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >(61.7%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >64.3%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >34.8%</td></tr><tr><td align="center" valign="middle" >YKL-40</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >(55%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >93.9%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >93.9%</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001&#167;</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(45%)</td><td align="center" valign="middle" >NR</td><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >17.1%</td></tr></tbody></table></table-wrap><p>Categorical variables were expressed as number (percentage); NR denote not reached yet; &#167; Log rank test; p &lt; 0.05 is significant</p><p>results incriminate FOXC2 in chemo-radio-therapy resistance, breast cancer recurrence and progression. Another explanation for the association of FOXC-2 expression levels and aggressive behavior of breast cancer that FOXC2 was able to induce the expression of several cell cycle regulators, including cyclin-dependent kinase 1 (CDK1), suggesting a role for FOXC2 phosphorylation in the expression of cell cycle-specific genes and that FOXC2 may regulate the cell cycle in CSC-rich cell populations [<xref ref-type="bibr" rid="scirp.85111-ref18">18</xref>] , that subsequently might increased proliferation in plethora of cancer types [<xref ref-type="bibr" rid="scirp.85111-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.85111-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.85111-ref21">21</xref>] .</p><p>Pietil&#228; et al. [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] and Hollier et al. [<xref ref-type="bibr" rid="scirp.85111-ref13">13</xref>] , also has stated that increased FOXC2 expression has been shown to be limited to cancer cells which have stem cell properties, moreover it has a central role in EMT regulation, cancer cells invasion, metastasis and resistance to chemotherapeutics so it may be used as a novel promising therapeutic target as targeting FOXC2 pathway might be considered an effective novel therapeutic approach for malignant tumors that are rich in EMT/CSC properties. These explanations were confirmed by Quan Y, et al. [<xref ref-type="bibr" rid="scirp.85111-ref14">14</xref>] , who explained the role of FOXC2 as an EMT-inducing transcription factor that has essential roles in cancer invasion and progression of ovarian cancer.</p><p>Moreover, Watanabe A. et al. [<xref ref-type="bibr" rid="scirp.85111-ref16">16</xref>] , study showed that by high FOXC2 expression is associated with increased the expression of N-cadherin, MMP-2, and Ang-2 and decreased E-cadherin expression that is associated with increased invasion in EHCC and increases in the incidence of lymph node and distant metastasis.</p><p>Besides, FOXC2 plays an essential role in tumor angiogenesis [<xref ref-type="bibr" rid="scirp.85111-ref22">22</xref>] . Meanwhile, FOXC2 promoted colorectal cancer proliferation through inhibiting the activation of AKT and MAPK signaling pathways and it regulates MET expression so it promotes invasion and metastasis of CRC cells [<xref ref-type="bibr" rid="scirp.85111-ref23">23</xref>] . Our results highlighted the molecular mechanisms that are underlying the metastatic behavior of breast cancer cells which suggested that FOXC2 represents a potential target for therapeutic strategies in breast cancer.</p><p>Pietil&#228; et al. [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] , showed that FOXC2 protein levels are capable of predicting clinical outcome. As most anti-mitotic chemotherapeutic agents kill malignant differentiated cells so as to lead to shrinkage of the tumor, they are unable to kill the CSCs that is responsible for to malignant relapse, Pietil&#228; et al. [<xref ref-type="bibr" rid="scirp.85111-ref6">6</xref>] , study suggested that inhibition of PLK1-FOXC2 signaling pathway might be helpful in inhibition the CSC-rich triple negative carcinomas and showed that FOXC2 protein expression levels are capable of expecting breast cancer patients clinical outcome.</p><p>There are plethora of studies which have evaluated the role of YKL-40 expression in breast cancer patients; however, the results were not completely accurate. Results of some studies have demonstrated that YKL-40 overexpression is related to dismal outcome of breast cancer patients [<xref ref-type="bibr" rid="scirp.85111-ref24">24</xref>] , while other studies had failed to prove such association [<xref ref-type="bibr" rid="scirp.85111-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.85111-ref26">26</xref>] .</p><p>When we assessed the tissue protein expression of YKL-40 in 50 breast carcinoma patients of different grades and stages we have found that high YKL-40 protein expression was positively related to poor clincopathological criteria like older age of the patient (p = 0.002), negative ER (p = 0.03), &amp; PR (p = 0.04), positive HER2neu (p = 0.02), higher grade of the tumor (p = 0.003), high incidence of distant metastasis (p = 0.04), higher KI labeling index, aggressive molecular subtype, advanced stage, high incidence of lymph node metastasis (p &lt; 0.001). Also we have proved that YKL-40 was a significant predictor of the recurrence of breast cancer after successful therapy, shorter OS &amp; RFS rates in this subset of patients, our results were nearly similar to results of Wan et al. [<xref ref-type="bibr" rid="scirp.85111-ref2">2</xref>] , that assessed YKL-40 tissue protein expression levels in carcinoma of the breast and performed a meta-analysis about its expression iv various cancer types and he found the association between high expression of YKL-40 and poor prognosis and poor survival of patients. Additionally, Shao et al. [<xref ref-type="bibr" rid="scirp.85111-ref25">25</xref>] , have identified that the YKL-40 expression levels are associated with breast cancer vascular invasion. Jefri et al. [<xref ref-type="bibr" rid="scirp.85111-ref27">27</xref>] , assessed YKL-40 gene expression in lung cancer and found similar association between gene expression and patients’ prognosis of lung cancer.</p><p>Moreover tissue protein expression of YKL-40 in prostate cancer was higher than that in adjacent non-malignant tissues, and migration and invasion of cells with high YKL-40 expression was significantly higher than that of cells with low YKL-40 expression [<xref ref-type="bibr" rid="scirp.85111-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.85111-ref29">29</xref>] .</p><p>All these studies have pointed to that high YKL-40 expression could be a useful prognostic biomarker for cancer patients.</p><p>Roslind et al. [<xref ref-type="bibr" rid="scirp.85111-ref26">26</xref>] and Kim et al. [<xref ref-type="bibr" rid="scirp.85111-ref24">24</xref>] studies, found different results from us that high YKL-40 protein expression was significantly associated with well differentiated breast cancer and positive ER and PR expression which are considered standard prognostic factors that traditionally point to a good patients prognosis. Kim et al. [<xref ref-type="bibr" rid="scirp.85111-ref24">24</xref>] , found a negative association between YKL-40 expression and DFS, that was similar to our results but could not be confirmed in Roslind et al., 2008 study that found no association between high YKL-40 expression and survival advantage and they have not explained the biological mechanism of such results, they also found no association between expression of YKL-40 and HER2 in tumor tissue in their study all these results were different from ours.</p><p>These discrepancies could be explained by different antibodies used in the study, variable number of patients, different follow up period and variable detection methods of YKL-40 expression.</p><p>Qin et al. [<xref ref-type="bibr" rid="scirp.85111-ref30">30</xref>] , in glioblastoma found results that are in line with our results.</p><p>Previous studies have provided many explanations of the role of YKL-40 in cancer progression, as it has a role in malignant initiation and proliferation of cancer cells [<xref ref-type="bibr" rid="scirp.85111-ref31">31</xref>] , it promotes angiogenesis in malignancies by increasing levels of expression of the vascular endothelial growth factor (VEGF) &amp; interacting with syndecan-1 in the endothelial cells, it could stimulate distant spread of the cancer by production of MMP-9 and other pro-invasive molecules [<xref ref-type="bibr" rid="scirp.85111-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.85111-ref33">33</xref>] . Hence, YKL-40 could to be used as a novel prognostic factor for expecting out come of carcinoma patients, more over it could be a promising targeted therapy [<xref ref-type="bibr" rid="scirp.85111-ref34">34</xref>] . Jefri et al. [<xref ref-type="bibr" rid="scirp.85111-ref27">27</xref>] &amp; Hao et al. [<xref ref-type="bibr" rid="scirp.85111-ref28">28</xref>] , proved the role of YKL-40 in EMT induction that has an important role in cancer progression, invasion, and metastasis that leads to dismal prognosis.</p><p>Hao et al., 2017 detailed roles of YKL-40 expression in induction of EMT that it increase the expression of mesenchymal markers e.g. N-cadherin and Vimentin and EMT inducers e.g. such as Snail and Twist, while it decreases the expression of epithelial markers like E-cadherin</p><p>Moreover, YKL-40 plays a vital role in regulation of phosphatidylinositol 3 kinase (PI3K)/AKT/mTOR cascade, which is connected with tumor survival, invasion, and metastasis and is a central feature of EMT [<xref ref-type="bibr" rid="scirp.85111-ref28">28</xref>] .</p><p>In our study we have evaluated the combined tissue protein expression of FOXC2 &amp; YKL-40 in breast cancer tissue of different grades and stages and we have found that there is positive association between both markers (Spearman’s r= +0.949), (p &lt; 0.001) and both markers related to poor clinicopathological, prognostic criteria and were significant predictors of breast cancer relapse in this subset of patients as both markers are related to EMT and tumor progression our study is the first study that used both of them together. Both markers can be used as therapeutic targets for breast cancer especially aggressive molecular subtypes as TNBC.</p><p>In summary &amp;, FOXC2 &amp; YKL-40 are found to be important proteins that affect the invasion, metastasis and progression of breast cancer several mechanisms e.g. by regulating EMT, and elevated expression of both proteins is markedly associated with a shorter RFS and reduced cancer specific survival rates in patients with breast carcinoma, hence they might be considered as promising predictive markers for expecting the prognosis of breast carcinoma patients.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The expression levels of FOXC2 &amp; YKL-40 were positively correlated with the migration and invasion of breast cancer cells and worse patient prognosis, so combination of both markers may be a potential therapeutic target for tumor cell invasion and metastasis.</p></sec><sec id="s6"><title>Cite this paper</title><p>Fouad, E.M., Mahmoud, A.S., Ahmed, R.Z., El Shafaay, B.Sh., Mahmoud, R., Osman, G., Amin, M.F., Gertallah, L.M. and Bessar, M.A. (2018) Prognostic and Clinicopathological Value of the Expression of FOXC2 &amp; YKL-40 in Carcinoma of the Breast, an Immunohistochemical Study. Advances in Breast Cancer Research, 7, 211-230. https://doi.org/10.4236/abcr.2018.73013</p></sec></body><back><ref-list><title>References</title><ref id="scirp.85111-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Wang, J., Xu, Y., Li, L., Wang, L., Yao, R., Sun, Q. and Du, G. (2017) FOXC1 Is Associated with Estrogen Receptor Alpha and Affects Sensitivity of Tamoxifen Treatment in Breast Cancer. Cancer Medicine, 6, 275-287.</mixed-citation></ref><ref id="scirp.85111-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Wan, G., Xiang, L., Sun, X., Wang, X., Li, H., Ge, W. and Cao, F. (2017) Elevated YKL-40 Expression Is Associated with a Poor Prognosis in Breast Cancer Patients. Oncotarget, 8, 5382-5391.</mixed-citation></ref><ref id="scirp.85111-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Coates, A.S., Winer, E.P., Goldhirsch, A., Gelber, R.D., Gnant, M., Piccart-Gebhart, M., Thurlimann, B., et al. (2015) Tailoring Therapies—Improving the Management of Early Breast Cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015. Annals of Oncology, 26, 1533-1546.  
https://doi.org/10.1093/annonc/mdv221</mixed-citation></ref><ref id="scirp.85111-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Acloque, H., Adams, M.S., Fishwick, K., Bronner-Fraser, M. and Nieto, M.A. (2009) Epithelial-Mesenchymal Transitions: The Importance of Changing Cell State in Development and Disease. The Journal of Clinical Investigation, 119, 1438-1449.  
https://doi.org/10.1172/JCI38019</mixed-citation></ref><ref id="scirp.85111-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Han, B., Bhowmick, N., Qu, Y., Chung, S., Giuliano, A.E. and Cu, X. (2017) FOXC1: An Emerging Marker and Therapeutic Target for Cancer. Oncogene, 36, 3957-3963.  
https://doi.org/10.1038/onc.2017.48</mixed-citation></ref><ref id="scirp.85111-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Pietila, M., Vijay, G.V., Soundararajan, R., Yu, X., Symmans, W.F., Sphyris, N. and Mani, S.A. (2016) FOXC2 Regulates the G2/M Transition of Stem Cell-Rich Breast Cancer Cells and Sensitizes Them to PLK1 Inhibition. Scientific Reports, 6, Article No. 23070. https://doi.org/10.1038/srep23070</mixed-citation></ref><ref id="scirp.85111-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Rehli, M., Krause, S.W. and Andreesen, R. (1997) Molecular Characterization of the Gene for Human Cartilage gp-39 (CHI3L1), a Member of the Chitinase Protein Family and Marker for Late Stages of Macrophage Differentiation. Genomics, 43, 221-225. https://doi.org/10.1006/geno.1997.4778</mixed-citation></ref><ref id="scirp.85111-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Fusetti, F., Pijning, T., Kalk, K.H., Bos, E. and Dijkstra, B.W. (2003) Crystal Structure and Carbohydrate-Binding Properties of the Human Cartilage Glycoprotein-39. The Journal of Biological Chemistry, 278, 37753-37760.  
https://doi.org/10.1074/jbc.M303137200</mixed-citation></ref><ref id="scirp.85111-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Prakash, M., Bodas, M., Prakash, D., Nawani, N., Khetmalas, M., Mandal, A. and Eriksson, C. (2013) Diverse Pathological Implications of YKL-40: Answers May Lie in “Outside-In” Signaling. Cell Signal, 25, 1567-1573.  
https://doi.org/10.1016/j.cellsig.2013.03.016</mixed-citation></ref><ref id="scirp.85111-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Johansen, J.S., Schultz, N.A. and Jensen, B.V. (2009) Plasma YKL-40: A Potential New Cancer Biomarker? Future Oncology, 5, 1065-1082.  
https://doi.org/10.2217/fon.09.66</mixed-citation></ref><ref id="scirp.85111-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Liu, B., Han, S.M., Tang, X.Y., et al. (2014) Overexpressed FOXC2 in Ovarian Cancer Enhances the Epithelial-to-Mesenchymal Transition and Invasion of Ovarian Cancer Cells. Oncology Reports, 31, 2545-2554.  
https://doi.org/10.3892/or.2014.3119</mixed-citation></ref><ref id="scirp.85111-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Xu, Y., Shao, Q., Yao, H., Jin, Y., Ma, Y. and Jia, L. (2014) Department of Gastrointestinal Surgery, Zhejiang Provincial People’s Hospital, Hangzhou, China Overexpression of FOXC1 Correlates with Poor Prognosis in Gastric Cancer Patients. Histopathology, 64, 963-970. https://doi.org/10.1111/his.12347</mixed-citation></ref><ref id="scirp.85111-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Hollier, B.G., Tinnirello, A.A., Werden, S.J., Evans, K.W., Taube, J.H., Sarkar, T.R., Sphyris, N., Shariati, M., Kumar, S.V., Battula, V.L., Herschkowitz, J.I., Guerra, R., Chang, J.T., Miura, N., Rosen, J.M. and Mani, S.A. (2012) FOXC2 Expression Links Epithelial-Mesenchymal Transition and Stem Cell Properties in Breast Cancer. Cancer Research, 73, 1981-1992. https://doi.org/10.1158/0008-5472.CAN-12-2962</mixed-citation></ref><ref id="scirp.85111-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Quan, Y., Zhe, Q., Zheng, C., Deng, W., Meng, F., Fu, Y., et al. (2014) Epithelial-Mesenchymal Transition-Associated miRNAs in Ovarian Carcinoma, with Highlight on the miR-200 Family: Prognostic Value and Prospective Role in Ovarian Cancer Therapeutics. Cancer Letters, 351, 173-181.  
https://doi.org/10.1016/j.canlet.2014.05.022</mixed-citation></ref><ref id="scirp.85111-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Cui, Y.-M., Jiao, H.-L., Ye, Y.-P., Chen, C.-M., Wang, J.-X., Tang, N., et al. (2015) FOXC2 Promotes Colorectal Cancer Metastasis by Directly Targeting MET. Oncogene, 34, 4379-4390.</mixed-citation></ref><ref id="scirp.85111-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Watanabe, A., Suzuki, H., Yokobori, T., Altan, B., Kubo, N., Araki, K., et al. (2013) Forkhead Box Protein C2 Contributes to Invasion and Metastasis of Extrahepatic Cholangiocarcinoma, Resulting in a Poor Prognosis. Cancer Science, 104, 1427-1432.</mixed-citation></ref><ref id="scirp.85111-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Nishida, N., Mimori, K., Yokobori, T., et al. (2011) FOXC2 Is a Novel Prognostic Factor in Human Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology, 18, 535-542. https://doi.org/10.1245/s10434-010-1274-y</mixed-citation></ref><ref id="scirp.85111-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Ivanov, K.I., et al. (2013) Phosphorylation Regulates FOXC2-Mediated Transcription in Lymphatic Endothelial Cells. Molecular and Cellular Biology, 33, 3749-3761.  
https://doi.org/10.1128/MCB.01387-12</mixed-citation></ref><ref id="scirp.85111-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Li, Q., et al. (2015) Overexpression of Forkhead Box C2 Promotes Tumour Metastasis and Indicates Poor Prognosis in Colon Cancer via Regulating Epithelial-Mesenchymal Transition. American Journal of Cancer Research, 5, 2022-2034.</mixed-citation></ref><ref id="scirp.85111-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, Z., et al. (2015) FOXC2 Promotes Chemoresistance in Nasopharyngeal Carcinomas via Induction of Epithelial Mesenchymal Transition. Cancer Letters, 363, 137-145. https://doi.org/10.1016/j.canlet.2015.04.008</mixed-citation></ref><ref id="scirp.85111-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Imayama, N., et al. (2015) FOXC2 Expression Is Associated with Tumour Proliferation and Invasion Potential in Oral Tongue Squamous Cell Carcinoma. Pathology &amp; Oncology Research, 21, 783-791. https://doi.org/10.1007/s12253-014-9891-6</mixed-citation></ref><ref id="scirp.85111-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Sano, H., Leboeuf, J.P., Novitskiy, S.V., et al. (2010) The Foxc2 Transcription Factor Regulates Tumor Angiogenesis. Biochemical and Biophysical Research Communications, 392, 201-206. https://doi.org/10.1016/j.bbrc.2010.01.015</mixed-citation></ref><ref id="scirp.85111-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Cui, Y.M., Jiang, D., Zhang, S.H., et al. (2014) FOXC2 Promotes Colorectal Cancer Proliferation through Inhibition of FOXO3a and Activation of MAPK and AKT Signaling Pathways. Cancer Letters, 353, 87-94.  
https://doi.org/10.1016/j.canlet.2014.07.008</mixed-citation></ref><ref id="scirp.85111-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Kim, S., Kasturi, D., Shahla, N., Frederick, C. and Meera, H. (2007) Prognostic Implications of Immunohistochemically Detected YKL-40 Expression in Breast Cancer. World Journal of Surgical Oncology, 5, 17.  
https://doi.org/10.1186/1477-7819-5-17</mixed-citation></ref><ref id="scirp.85111-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Shao, R., Cao, Q.J., Arenas, R.B., Bigelow, C., Bentley, B. and Yan, W. (2011) Breast Cancer Expression of YKL-40 Correlates with Tumour Grade, Poor Differentiation, and Other Cancer Markers. British Journal of Cancer, 105, 1203-1209.  
https://doi.org/10.1038/bjc.2011.347</mixed-citation></ref><ref id="scirp.85111-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Roslind, A., Knoop, A.S., Jensen, M.B., Johansen, J.S., Nielsen, D.L., Price, P.A. and Balslev, E. (2008) YKL-40 Protein Expression Is Not a Prognostic Marker in Patients with Primary Breast Cancer. Breast Cancer Research and Treatment, 112, 275-285. https://doi.org/10.1007/s10549-007-9870-7</mixed-citation></ref><ref id="scirp.85111-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Jefri, M., Huang, Y.-N., Huang, W.-C., Tai, C.-S. and Chen, W.-L. (2015) YKL-40 Regulated Epithelial-Mesenchymal Transition and Migration/Invasion Enhancement in Non-Small Cell Lung Cancer. BMC Cancer, 15, 590.  
https://doi.org/10.1186/s12885-015-1592-3</mixed-citation></ref><ref id="scirp.85111-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Hao, H., Wang, L., Chen, H., Xie, L., Bai, T., Liu, H. and Wang, D. (2017) YKL-40 Promotes the Migration and Invasion of Prostate Cancer Cells by Regulating Epithelial Mesenchymal Transition. American Journal of Translational Research, 9, 3749-3757. http://www.ajtr.org</mixed-citation></ref><ref id="scirp.85111-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Ozdemir, E., Cicek, T. and Kaya, M.O. (2012) Association of Serum YKL-40 Level with Tumor Burden and Metastatic Stage of Prostate Cancer. Urology Journal, 9, 568-573.</mixed-citation></ref><ref id="scirp.85111-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Qin, G., Li, X., Chen, Z., Liao, G., Su, Y., Chen, Y. and Zhang, W. (2016) Prognostic Value of YKL-40 in Patients with Glioblastoma: A Systematic Review and Meta-Analysis. Molecular Neurobiology, 54, 3264-3270.</mixed-citation></ref><ref id="scirp.85111-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Low, D., Subramaniam, R., Lin, L., Aomatsu, T., Mizoguchi, A., Ng, A., DeGruttola, A.K., et al. (2015) Chitinase 3-like 1 Induces Survival and Proliferation of Intestinal Epithelial Cells during Chronic Inflammation and Colitis-Associated Cancer by Regulating S100A9. Oncotarget, 6, 36535-36550.  
https://doi.org/10.18632/oncotarget.5440</mixed-citation></ref><ref id="scirp.85111-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Francescone, R.A., Scully, S., Faibish, M., Taylor, S.L., Oh, D., Moral, L., et al. (2011) Role of YKL-40 in the Angiogenesis, Radioresistance, and Progression of Glioblastoma. The Journal of Biological Chemistry, 286, 15332-15343.  
https://doi.org/10.1074/jbc.M110.212514</mixed-citation></ref><ref id="scirp.85111-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Libreros, S. and Iragavarapu-Charyulu, V. (2015) YKL-40/CHI3L1 Drives Inflammation on the Road of Tumor Progression. Journal of Leukocyte Biology, 98, 931-936. https://doi.org/10.1189/jlb.3VMR0415-142R</mixed-citation></ref><ref id="scirp.85111-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Kzhyshkowska, J., Yin, S., Liu, T., Riabov, V. and Mitrofanova, I. (2016) Role of Chitinase-Like Proteins in Cancer. Biological Chemistry, 397, 231-247.  
https://doi.org/10.1515/hsz-2015-0269</mixed-citation></ref></ref-list></back></article>