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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2015.4120</article-id>
<article-id pub-id-type="publisher-id">or-34-03-1494</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title><italic>STC2</italic> overexpression mediated by <italic>HMGA2</italic> is a biomarker for aggressiveness of high-grade serous ovarian cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>WU</surname><given-names>JINGJING</given-names></name><xref rid="af1-or-34-03-1494" ref-type="aff">1</xref><xref rid="af2-or-34-03-1494" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>LAI</surname><given-names>MAODE</given-names></name><xref rid="af1-or-34-03-1494" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>SHAO</surname><given-names>CHANGSHUN</given-names></name><xref rid="af3-or-34-03-1494" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>JIAN</given-names></name><xref rid="af4-or-34-03-1494" ref-type="aff">4</xref><xref ref-type="corresp" rid="c2-or-34-03-1494"/></contrib>
<contrib contrib-type="author">
<name><surname>WEI</surname><given-names>JIAN-JUN</given-names></name><xref rid="af2-or-34-03-1494" ref-type="aff">2</xref><xref ref-type="corresp" rid="c1-or-34-03-1494"/></contrib></contrib-group>
<aff id="af1-or-34-03-1494">
<label>1</label>Department of Pathology, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, P.R. China</aff>
<aff id="af2-or-34-03-1494">
<label>2</label>Department of Pathology, Northwestern University School of Medicine, Chicago, IL 60611, USA</aff>
<aff id="af3-or-34-03-1494">
<label>3</label>Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA</aff>
<aff id="af4-or-34-03-1494">
<label>4</label>Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China</aff>
<author-notes>
<corresp id="c1-or-34-03-1494">Correspondence to: Dr Jian-Jun Wei, Department of Pathology, Northwestern University School of Medicine, Feinberg 7-334, 251 East Huron Street, Chicago, IL 60611, USA, E-mail: <email>jianjun-wei@northwestern.edu</email></corresp>
<corresp id="c2-or-34-03-1494">Dr Jian Wang, Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, P.R. China, E-mail: <email>wangjian519@zju.edu.cn</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>9</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>09</day>
<month>07</month>
<year>2015</year></pub-date>
<volume>34</volume>
<issue>3</issue>
<fpage>1494</fpage>
<lpage>1502</lpage>
<history>
<date date-type="received">
<day>25</day>
<month>03</month>
<year>2015</year></date>
<date date-type="accepted">
<day>17</day>
<month>06</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015, Spandidos Publications</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>High-grade serous cancer (HGSC) is a lethal form of ovarian cancer due to invasion and early metastasis. Gain of epithelial-mesenchymal transition (EMT) contributes to the aggressiveness of HGSC. High-mobility gene group A2 (<italic>HMGA2</italic>), an architectural transcription factor, plays a major role in HGSC through the regulation of EMT gene expression. Based on the gene profiling analysis, we found that the potent EMT gene, stanniocalcin 2 (<italic>STC2</italic>), was highly correlated with <italic>HMGA2</italic> expression. In the present study, we demonstrated that <italic>STC2</italic> was directly regulated by <italic>HMGA2</italic> at the transcriptional level. Overexpressing <italic>STC2 in vitro</italic> directly enhanced cell migration and invasion. To investigate the correlation of <italic>STC2</italic> and <italic>HMGA2</italic> expression and the potential biomarker for ovarian cancer, three independent large cohorts of ovarian cancer (cohort 1=278, cohort 2=150 and cohort 3=95 cases) were examined in the present study. The results showed that the expression of HMGA2 and STC2 was positively correlated. Furthermore, STC2 expression was significantly associated with tumor grade and histotype. HGSC had significantly higher levels of STC2 expression and was inversely correlated with patient survival. These findings suggested that STC2 is an important new biomarker that can be used for HGSC.</p></abstract>
<kwd-group>
<kwd><italic>HMGA2</italic></kwd>
<kwd><italic>STC2</italic></kwd>
<kwd>ovarian cancer</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Ovarian cancer is a lethal disease characterized by early metastasis. According to the American Cancer Society, 21,980 women developed ovarian cancer and 14,270 women succumbed to this disease in 2014 in the US (<xref rid="b1-or-34-03-1494" ref-type="bibr">1</xref>). Ovarian cancer is histologically heterogeneous, and 50&#x02013;70% of ovarian cancers are high-grade serous ovarian carcinoma (HGSC). Most patients (up to 70%) are diagnosed at an advanced stage. Despite advances in medical research, the survival rate of ovarian cancer has remained unchanged in the past 50 years (<xref rid="b2-or-34-03-1494" ref-type="bibr">2</xref>,<xref rid="b3-or-34-03-1494" ref-type="bibr">3</xref>). Thus, it is crucial to identify a potential therapeutic target for HGSC.</p>
<p>High-mobility gene group A2 (<italic>HMGA2</italic>), as an oncofetal protein, participates in ovarian carcinogenesis (<xref rid="b4-or-34-03-1494" ref-type="bibr">4</xref>,<xref rid="b5-or-34-03-1494" ref-type="bibr">5</xref>). <italic>HMGA2</italic> is overexpressed in &gt;70% of early serous tubal intraepithelial carcinoma (STIC) and late stages of human HGSC (<xref rid="b6-or-34-03-1494" ref-type="bibr">6</xref>), as well as in early ovarian cancer in a mouse model (<xref rid="b4-or-34-03-1494" ref-type="bibr">4</xref>). <italic>HMGA2</italic> overexpression resulted in malignant tumor transformation in ovarian epithelial cells (<xref rid="b7-or-34-03-1494" ref-type="bibr">7</xref>). Silencing <italic>HMGA2</italic> in ovarian cancer cells inhibited tumor growth <italic>in vivo</italic> (<xref rid="b8-or-34-03-1494" ref-type="bibr">8</xref>). The oncogenic properties of <italic>HMGA2</italic> in promoting the aggressiveness of malignancy were mainly attributed to its regulation of epithelial-mesenchymal transition (EMT) (<xref rid="b9-or-34-03-1494" ref-type="bibr">9</xref>&#x02013;<xref rid="b11-or-34-03-1494" ref-type="bibr">11</xref>). A global gene profiling analysis revealed that <italic>HMGA2</italic> overexpression upregulated stanniocalcin 2 (<italic>STC2</italic>) (<xref rid="b7-or-34-03-1494" ref-type="bibr">7</xref>).</p>
<p>Stanniocalcin (STC) is a glycoprotein hormone originally found to be produced by the corpuscles of Stannous in bony fish. Its main function is to regulate calcium and phosphate homeostasis (<xref rid="b12-or-34-03-1494" ref-type="bibr">12</xref>). This hormone has two members: The <italic>STC1</italic> gene, mapped at chromosome 8p11, whose protein contains 247 amino acids and the <italic>STC2</italic> gene, located at 5q35, whose protein consists of 302 amino acids and has 34% homology to <italic>STC1</italic> (<xref rid="b13-or-34-03-1494" ref-type="bibr">13</xref>). STC1 was reported to be a <italic>Ras</italic>-induced gene leading to the aggressive tumor growth of ovarian cancer <italic>in vitro</italic> and <italic>in vivo</italic> (<xref rid="b14-or-34-03-1494" ref-type="bibr">14</xref>). <italic>STC2</italic> overexpression was found to be associated with cancer progression and worse clinical outcome (<xref rid="b15-or-34-03-1494" ref-type="bibr">15</xref>&#x02013;<xref rid="b18-or-34-03-1494" ref-type="bibr">18</xref>). Previous findings showed that <italic>STC2</italic> was regulated by HIF-1 under hypoxic conditions and the induction of <italic>STC2</italic> stimulated cell proliferation and promoted EMT formation in ovarian cancer (<xref rid="b19-or-34-03-1494" ref-type="bibr">19</xref>). The exact regulation mechanism of <italic>STC2</italic> in cancer, in particular in ovarian cancer remains unknown.</p>
<p>In the present study, we characterized the oncogenic properties of <italic>STC2</italic> in ovarian cancer cells and investigated <italic>HMGA2</italic>-mediated <italic>STC2</italic> upregulation. We found that <italic>STC2</italic> was directly upregulated by <italic>HMGA2</italic> at the transcriptional level. <italic>STC2</italic> promoted cell migration and invasion <italic>in vitro</italic>. Of note, studies of several large cohorts focusing on human ovarian cancer populations revealed that the expression of <italic>HMGA2</italic> and <italic>STC2</italic> was positively correlated and associated with tumor grades and histologic subtypes. High <italic>STC2</italic> was associated with poor clinical outcome of ovarian cancer.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients and tissue samples</title>
<p>Three ovarian cancer populations were used in the present study. The training set consisted of 278 ovarian cancer cases was purchased from US Biomax Inc. (Rockville, MD, USA). The validation set consisted of 150 ovarian cancer cases and was purchased from Super BioTek (Shanghai, China). The clinical biodemography, pathological features and clinical outcomes of patients were collected by retrospective chart review (<xref rid="tI-or-34-03-1494" ref-type="table">Table I</xref>). The third cohort of 95 patients with ovarian cancer was obtained from the Northwestern Memorial Hospital between 2002 and 2007. This cohort had follow-up information and the information was previously reported (<xref rid="b20-or-34-03-1494" ref-type="bibr">20</xref>). Ethics approval for the study was obtained from the Institutional Review Board.</p></sec>
<sec>
<title>Stable overexpression of STC2 in T29 cells</title>
<p>T29 were plated in 6-well plates in antibiotic-free medium. When the cells reached 70&#x02013;80% confluence, each well was transfected with a mixture containing either 4 <italic>&#x003BC;</italic>g of pCMV6-STC2 or control pCMV6 and 10 <italic>&#x003BC;</italic>l of Lipofectamine 2000. Seventy-two hours after transfection, the cells were selected for 20&#x02013;30 days in the presence of 600 ng/<italic>&#x003BC;</italic>l G418. Single colonies with STC2 overexpression were selected and confirmed by western blot analysis.</p></sec>
<sec>
<title>Stable knockdown of STC2 in Caov-3 cells</title>
<p><italic>STC2</italic> shRNA (pGPU6/GFP/Neo-shRNA-1604 with target sequence GGGCAAGTCATTCATCAAAGA) and <italic>STC2</italic> control (the scrambled shRNA construct pGPU6/GFP/Neo-shNC) plasmids were transfected into cells using Lipofectamine 2000 as previously described (<xref rid="b7-or-34-03-1494" ref-type="bibr">7</xref>). Single colonies with <italic>STC2</italic> knockdown were selected and confirmed by western blot analysis.</p></sec>
<sec>
<title>Wound-healing assay</title>
<p>The cells (9&#x000D7;10<sup>5</sup>) were seeded in 6-well plates and allowed to reach confluence overnight in culture medium. A linear scratch was created using a sterile pipette tip. The media were then changed to remove any detached cells and the scratched areas were photographed under an inverted microscope at indicated time points. At least three fields along each scratch were analyzed and the experiment was performed in triplicate.</p></sec>
<sec>
<title>Transwell migration and Matrigel invasion assays</title>
<p>Cells (1&#x000D7;10<sup>5</sup>/well) were suspended in 200 <italic>&#x003BC;</italic>l of serum-free medium and then seeded on the upper side of a 24-well Transwell migration chamber (Corning Inc., Corning, NY, USA). After 48 h, the cells retained on the upside of the membrane were removed by cotton swab. The cells that migrated onto the bottom side were fixed by 10% formalin, stained by 0.1% crystal violet and observed under microscope at a magnification of &#x000D7;100. The Matrigel invasion assay was similar to the Transwell migration assay, except that the upside of the membrane was coated with the Matrigel.</p></sec>
<sec>
<title>Immunohistochemical analysis</title>
<p>After formalin-fixed and paraffin-embedded tissue samples were treated with xylene and ethanol, antigen retrieval was performed in 1 l of citrate buffer (0.01 mol/l, pH 6.0) at 95&#x000B0;C for 10 min. Endogenous peroxidase activity was inactivated with 3% H<sub>2</sub>O<sub>2</sub> for 10 min at room temperature (RT) and slides were blocked in 10% goat serum at RT for 30 min. The sections were then incubated with rabbit polyclonal anti-HMGA2 (1:100; Bio-Check, Inc. (Foster City, CA, USA) or rabbit polyclonal anti-STC2 (1:100; Abcam, Cambridge, MA, USA) at 4&#x000B0;C overnight. Subsequently, the sections were treated with secondary antibody at RT for 1 h. The slides were incubated with diaminobenzidine (DAB) and counterstained with hematoxylin. Immunohistochemical staining scoring was semi-quantitatively evaluated by staining intensity and the percentage of positive cells. The percentage positivity was graded as 0 (&lt;5%), 1 (5&#x02013;25%), 2 (25&#x02013;50%), 3 (51&#x02013;75%), or 4 (&gt;75%). The staining intensity was graded as 0 (no staining), 1 (weak staining), 2 (moderate staining) or 3 (strong staining). The two grades were added together to yield the immunoreactive score (IRS). Cases with discrepancies in IRS were discussed with other pathologists until consensus was reached. Evaluation of immunohistochemical staining was carried out by two pathologists (J.-J. Wei and M. Lai) blinded to the clinicopathological characteristics.</p></sec>
<sec>
<title>Western blotting</title>
<p>Equal amounts (25 <italic>&#x003BC;</italic>g) of total proteins were resolved by 12% SDS-PAGE and transferred to polyvinylidene fluoride (PVDF) membranes. The membranes were blocked with 5% non-fat milk for 1 h at RT and incubated with primary antibodies at 4&#x000B0;C overnight, including rabbit polyclonal anti-STC2 (1:200; Abcam) and mouse monoclonal anti-&#x003B2;-actin (1:1,000; Sigma, St. Louis, MO, USA). The secondary antibody was then detected by an enhanced chemiluminescence kit (Perkin-Elmer, Waltham, MA, USA).</p></sec>
<sec>
<title>Luciferase assay</title>
<p>The upstream regions of human STC2 from &#x02212;290/+43, &#x02212;647/+43, &#x02212;1,313/+43, &#x02212;1,313/&#x02212;620 were generated by PCR (<xref rid="tII-or-34-03-1494" ref-type="table">Table II</xref>) and cloned into the pGL3-basic plasmid. The 293T cells were seeded in 24-well plates at densities of 7&#x000D7;10<sup>4</sup>/well. After 24 h, 0.1 <italic>&#x003BC;</italic>g of pRL-TK, 0.5 <italic>&#x003BC;</italic>g of pGL3-STC2 and the indicated amounts (0, 0.2, 0.4 and 0.8 <italic>&#x003BC;</italic>g) of pcDNA3.1-HMGA2, along with varied amounts (0.8, 0.6, 0.4 and 0 <italic>&#x003BC;</italic>g) of blank pcDNA3.1 plasmid were transfected into 293T cells by Lipofectamine 2000. Forty-eight hours after transfection, the firefly luciferase activity was measured with the Dual-Luciferase Reporter Assay System (Promega, Madison, WI, USA), and results were normalized by <italic>Renilla</italic> luciferase activity. The experiments were repeated at least three times with three replicates per sample.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The associations between expression status and clinicopathological characteristics were assessed using the &#x003C7;<sup>2</sup> test. Overall survival curves were calculated for the expression groups using the Kaplan-Meier method. RNA and protein expression levels were presented as means &#x000B1; standard deviation from at least three independent experiments. Data were analyzed by the Student's t-test in two groups and one-way ANOVA in multiple groups. SPSS 17.0 software was used for statistical analysis. P&lt;0.05 was considered to indicate a statistically significant result.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Overexpression of STC2 promotes cell migration and invasion in ovarian surface epithelial cells in vitro</title>
<p>To examine the roles of <italic>STC2</italic> in cell mobility, a stable <italic>STC2</italic> overexpression was established in an ovarian T29 surface epithelial cell line (T29-<italic>STC2</italic>) (<xref rid="f1-or-34-03-1494" ref-type="fig">Fig. 1A</xref>). Cells with a vector control (T29-pCMV6) were used. Introduction of <italic>STC2</italic> overexpression enhanced cell metastasis and invasion <italic>in vitro</italic>. The wound-healing assay revealed that the closure rates of T29-<italic>STC2</italic> at 12, 36 and 48 h (36.77&#x000B1;1.55, 82.59&#x000B1;1.50 and 97.33&#x000B1;1.15%) were significantly higher than those of T29-pCMV6 (25.69&#x000B1;2.22, 61.50&#x000B1;1.10 and 81.45&#x000B1;1.13%; P&lt;0.01, <xref rid="f1-or-34-03-1494" ref-type="fig">Fig. 1B</xref>). The Transwell chamber assay indicated that migration of the T29-<italic>STC2</italic> cells (301.33&#x000B1;9.29) was significantly higher than that of T29-pCMV6 (174.67&#x000B1;6.03, P&lt;0.001, <xref rid="f1-or-34-03-1494" ref-type="fig">Fig. 1C</xref>) at 24 h. In the Matrigel invasion assay, we also observed a significant induction of the invasive potential of T29-<italic>STC2</italic> (232.67&#x000B1;10.69) compared to that of the control (112.33&#x000B1;7.57, P&lt;0.001, <xref rid="f1-or-34-03-1494" ref-type="fig">Fig. 1D</xref>). These results demonstrated that <italic>STC2</italic> overexpression promoted the migration and invasion of ovarian surface epithelial cells <italic>in vitro</italic>.</p></sec>
<sec>
<title>Knockdown of STC2 inhibits cell migration and invasion in ovarian cancer cells in vitro</title>
<p>To investigate whether blocking <italic>STC2</italic> restored or reduced the cell aggressiveness, we used the ovarian cancer cell line, Caov-3. Caov-3 exhibited abundant endogenous <italic>STC2</italic> expression. A stable knockdown cell (Caov-3-sh-<italic>STC2</italic>) and scrambled control cell (Caov-3-pGPU6) were prepared (<xref rid="f2-or-34-03-1494" ref-type="fig">Fig. 2A</xref>).</p>
<p>The wound closure rates of Caov-3-sh-STC2 at 12, 24 and 48 h (37.35&#x000B1;2.50, 47.79&#x000B1;2.20 and 62.48&#x000B1;4.89%) were significantly lower than those of Caov-3-pGPU6 (56.28&#x000B1;3.69, 74.33&#x000B1;4.91 and 87.10&#x000B1;4.35%, P&lt;0.01, <xref rid="f2-or-34-03-1494" ref-type="fig">Fig. 2B</xref>), indicating that the downregulation of STC2 reduced the locomotion of the cancer cells. Similarly, the number of cells migrating through the Transwell membrane was significantly reduced in Caov-3-sh-STC2 cells (83&#x000B1;4), compared with the Caov-3-pGPU6 cells (151&#x000B1;5.57, P&lt;0.001, <xref rid="f2-or-34-03-1494" ref-type="fig">Fig. 2C</xref>). The Matrigel invasion assay revealed that blocking STC2 expression inhibited the invasiveness of Caov-3 cells (41.33&#x000B1;3.21 for Caov-3-sh-STC2 cells vs. 96.33&#x000B1;6.02 for Caov-3-pGPU6 cells, P&lt;0.001, <xref rid="f2-or-34-03-1494" ref-type="fig">Fig. 2D</xref>). These results indicated that knockdown of STC2 inhibited cell migration and invasion in ovarian cancer <italic>in vitro</italic>.</p></sec>
<sec>
<title>STC2 is regulated by HMGA2 at transcription levels</title>
<p>Gene profiling analysis revealed that ovarian epithelial cells with <italic>HMGA2</italic> overexpression enhanced <italic>STC2</italic> expression (<xref rid="b7-or-34-03-1494" ref-type="bibr">7</xref>). To determine whether <italic>HMGA2</italic> directly regulated <italic>STC2</italic> expression, we examined <italic>HMGA2</italic> and <italic>STC2</italic> expression at transcription levels using RT-PCR in 11 randomly selected HGSC samples. As shown in <xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3A</xref>, there was a correlation between <italic>HMGA2</italic> and <italic>STC2</italic> expression. We then investigated whether the increased <italic>STC2</italic> expression was directly regulated by <italic>HMGA2</italic> at the transcription level. The sequence analysis revealed multiple <italic>HMGA2</italic> AT binding domains (<xref rid="b21-or-34-03-1494" ref-type="bibr">21</xref>) along the 1,200 bp region upstream from the 5&#x02032; transcription start site of <italic>STC2</italic>. To define the genomic regions that were possibly regulated by <italic>HMGA2</italic>, we prepared several luciferase reporter constructs representing different parts of the <italic>STC2</italic> promoter (<xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3B</xref>). The genomic region immediately adjacent to the <italic>STC2</italic> transcription start site, up to &#x02212;600 bp, conferred a significant increase in luciferase expression when co-transfected with the <italic>HMGA2</italic> expression vector (<xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3B</xref>). Elevation in luciferase activity in response to <italic>HMGA2</italic> co-transfection was dose-dependent (<xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3B</xref>). By contrast, the upstream sequence beyond this region showed minimal activity in driving luciferase expression, indicating that the <italic>HMGA2</italic> regulatory region was mostly confined to the +1 to &#x02212;600 bp promoter region of <italic>STC2</italic>. The findings suggested that <italic>HMGA2</italic>-induced <italic>STC2</italic> upregulation was likely mediated by transcription regulation.</p></sec>
<sec>
<title>STC2 expression is positively correlated with HMGA2 expression in epithelial ovarian cancer</title>
<p>The abovementioned results indicated that <italic>STC2</italic> was associated with aggressive tumor growth and was regulated by <italic>HMGA2</italic>. To examine whether STC2 expression was correlated with HMGA2 expression at the protein level in epithelial ovarian cancer (EOC), immunohistochemical analysis (<xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3C</xref>) was employed for measurement of the protein expressions in two cohorts of the EOC cases. The results showed a moderate correlation between HMGA2 and STC2 expression in the training cohort (R=0.544, P&lt;0.001, <xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3D</xref>) and validation cohort (R=0.286, P&lt;0.001, <xref rid="f3-or-34-03-1494" ref-type="fig">Fig. 3E</xref>). These findings suggested that STC2 expression was mainly regulated by HMGA2 but may also be regulated by other genes or pathways.</p></sec>
<sec>
<title>Expression of STC2 correlates with tumor grade and histologic subtype</title>
<p>The clinicopathological characteristics of the training and validation cohort are shown in <xref rid="tI-or-34-03-1494" ref-type="table">Table I</xref>. As shown in <xref rid="tIII-or-34-03-1494" ref-type="table">Tables III</xref> and <xref rid="tIV-or-34-03-1494" ref-type="table">IV</xref> and <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4</xref>, strong immunoreactivity for HMGA2 and STC2 staining were closely associated with tumor grade. In the training cohort, the patients with higher grade had a significantly higher HMGA2 (P&lt;0.001; <xref rid="tIII-or-34-03-1494" ref-type="table">Table III</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4A and C</xref>). A similar trend was observed in STC2 expression (P&lt;0.001; <xref rid="tIII-or-34-03-1494" ref-type="table">Table III</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4B and D</xref>). The validation cohort results were consistent with those of the training cohort. Increasing tumor grade showed a statistically positive association with a higher expression of HMGA2 (P=0.003; <xref rid="tIV-or-34-03-1494" ref-type="table">Table IV</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4A and C</xref>) and STC2 (P=0.013; <xref rid="tIV-or-34-03-1494" ref-type="table">Table IV</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4B and D</xref>).</p>
<p>A strong correlation between histologic subtypes and the levels of HMGA2 and STC2 expression was identified. A higher rate of HMGA2 was detected in serous tumors as compared with that in mucinous type in the training cohort (58.6% in serous type, 26.8% in mucinous type, P&lt;0.001; <xref rid="tIII-or-34-03-1494" ref-type="table">Table III</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4A and C</xref>) and validation cohort (54.6% in serous type, 23.8% in mucinous type, P=0.001; <xref rid="tIV-or-34-03-1494" ref-type="table">Table IV</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4A and C</xref>). A similar trend was observed in STC2 expression. A higher rate of STC2 was detected in serous tumors as compared with that in mucinous type in the training cohort (59.5% in serous type, 26.8% in mucinous type, P&lt;0.001; <xref rid="tIII-or-34-03-1494" ref-type="table">Table III</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4B and D</xref>) and validation cohort (64.8% in serous type, 42.9% in mucinous type, P=0.014; <xref rid="tIV-or-34-03-1494" ref-type="table">Table IV</xref>, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4B and D</xref>). Statistical analysis revealed that HMGA2 and STC2 expression was not significantly associated with age, stage, or lymph node and distant metastatic status.</p>
<p>In 95 ovarian cancer cases with clinical follow-up data, we examined the correlation of STC2 expression with the overall survival using the Kaplan-Meier method. We found that the elevated expression of STC2 was associated with a shorter overall survival rate (P=0.016, <xref rid="f4-or-34-03-1494" ref-type="fig">Fig. 4E</xref>). These results indicated that <italic>STC2</italic> may be a valuable predictive marker for prognosis in EOC, with a high STC2 expression being associated with a poor overall survival.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In a previous gene profiling analysis, we showed the upregulation of <italic>STC2</italic> expression in a transformed ovarian epithelial cell line that overexpressed <italic>HMGA2</italic> (<xref rid="b7-or-34-03-1494" ref-type="bibr">7</xref>). In the present study, we showed that <italic>STC2</italic> and <italic>HMGA2</italic> were frequently co-upregulated in EOC. We also showed that <italic>STC2</italic> was upregulated by <italic>HMGA2</italic> at the transcription level. Our findings in the present study suggest that <italic>STC2</italic> is an immediate downstream target of <italic>HMGA2</italic>. <italic>STC2</italic> overexpression was associated with aggressive ovarian cancer growth, high grade and poor clinical outcome.</p>
<p><italic>STC2</italic> was highly expressed in numerous solid human cancers and appeared to act as an oncoprotein. In breast cancer, <italic>STC2</italic> was recognized as an estrogen-responsive gene and its expression was correlated with estrogen receptor (ER) status (<xref rid="b22-or-34-03-1494" ref-type="bibr">22</xref>). In ovarian cancer, <italic>STC2</italic> was identified as a biomarker and its overexpression was associated with a decreased disease-free interval (<xref rid="b18-or-34-03-1494" ref-type="bibr">18</xref>). Findings of Law and Wong showed that two consecutive HRE binding sites in the <italic>STC2</italic> promoter. <italic>STC2</italic> was transactivated by HIF-1 (<xref rid="b19-or-34-03-1494" ref-type="bibr">19</xref>). Consistent with a previous study (<xref rid="b23-or-34-03-1494" ref-type="bibr">23</xref>), we showed that <italic>STC2</italic> played an important role in cell migration and invasion in ovarian cancer cell lines. The results of the present study added another layer of evidence of <italic>HMGA2</italic> as an oncogene in the tumorigenesis of EOC.</p>
<p>In gastric cancer, it was demonstrated that a high <italic>STC2</italic> expression was correlated with an enhanced rate of venous invasion and became an independent prognostic marker (<xref rid="b24-or-34-03-1494" ref-type="bibr">24</xref>,<xref rid="b25-or-34-03-1494" ref-type="bibr">25</xref>). In neuroblastoma, STC2 was highly expressed in stage 4 tumors (metastatic stage) and was recognized as a biomarker of metastatic neuroblastoma. <italic>STC2</italic> was found to promote the invasion of neuroblastomas and erosion of blood vessels <italic>in vivo</italic> (<xref rid="b26-or-34-03-1494" ref-type="bibr">26</xref>). Similarly, <italic>STC2</italic> was shown to be upregulated and promoted cell proliferation and migration in hepatocellular carcinoma (<xref rid="b27-or-34-03-1494" ref-type="bibr">27</xref>). In renal cell cancer, <italic>STC2</italic> was used as an indicator for clinical prognosis (<xref rid="b28-or-34-03-1494" ref-type="bibr">28</xref>). Furthermore, Ieta <italic>et al</italic> found that a higher level of <italic>STC2</italic> expression was closely associated with larger tumor size, greater depth, increased lymph node metastasis, higher AJCC stage and worse survival (<xref rid="b15-or-34-03-1494" ref-type="bibr">15</xref>). The abovementioned findings suggest that <italic>STC2</italic> functioned as an oncogene in the course of tumor progression.</p>
<p>In summary, our results have shown that <italic>STC2</italic> may be induced by HMGA2 at the transcription level. Additionally, HMGA2 and STC2 were highly expressed in EOC. The stable overexpression of STC2 in T29 cells promoted migration and invasion <italic>in vitro</italic>, whereas its knockdown in Caov-3 inhibited cell migration and invasion <italic>in vitro</italic>. Patients with serous histotype and poorer differentiation grade had higher rates of HMGA2 and STC2 high intensity. The EMT-enhancing properties of HMGA2 in EOC appeared to be partly mediated by <italic>STC2</italic>. We also found that STC2 may be used as an independent predictor of survival for EOC patients. Immunohistochemistry for STC2 proved a clean and reliable stain and may serve as a tumor prognostic marker for HGSC. Further characterization of STC2-mediated tumorigenesis in HGSC may be useful to develop potential therapeutic modality targeting STC2 for the aggressiveness of HGSC.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the staff at the Pathology Core Laboratory for technical support. The present study was supported in part by the Marsha Rivkin Ovarian Cancer Research Award, the Dixon Translation fund, the National Natural Science Foundation of China (nos. 81302073, 81302072 and 81172313), the Zhejiang Provincial Natural Science Foundation of China (LQ13H160011), and the Fundamental Research Funds for the Central Universities (2014QNA7018).</p></ack>
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<floats-group>
<fig id="f1-or-34-03-1494" position="float">
<label>Figure 1</label>
<caption>
<p>STC2 overexpression significantly promotes cell migration and invasion in T29 cells. (A) STC2 protein levels in T29-pCMV6 and T29-STC2 stable cell lines are shown by western blot analysis. (B) Representative images of T29-pCMV6 and T29-STC2 cells at 0, 12, 36 and 48 h post-scratch at &#x000D7;100 magnification (left panel). The bar graph shows the mean &#x000B1; SD (percent of wound closure) of three idnependent experiments with five fields measured per experiment (right panel). (C) In the Transwell migration and (D) Matrigel invasion assays, images of T29-pCMV6 and T29-STC2 cells that had (C) migrated or (D) invaded to the lower chamber were captured at &#x000D7;100 magnification (left panel). The bar graph shows the quantification of the cell migration (right panel). &#x0002A;&#x0002A;P&lt;0.01; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&lt;0.001. STC2, stanniocalcin 2.</p></caption>
<graphic xlink:href="OR-34-03-1494-g00.jpg"/></fig>
<fig id="f2-or-34-03-1494" position="float">
<label>Figure 2</label>
<caption>
<p>STC2 knockdown significantly inhibits cell migration and invasion in Caov-3 cells. (A) Stable knockdown of STC2 in Caov-3-sh-STC2 cells was confirmed by western blot analysis. (B) Images of Caov-3-pGPU6 and Caov-3-sh-STC2 cells at 0, 12, 24 and 48 h post-scratch at &#x000D7;100 magnification (left panel). Wound closure was quantified and the values are shown as mean &#x000B1; SD of three independent experiments with five fields measured per experiment (right panel). (C) In the Transwell migration and (D) Matrigel invasion assays, representative images of Caov-3-pGPU6 and Caov-3-sh-STC2 cells that had migrated to the lower chamber were captured at &#x000D7;100 magnification (left panel). The number of (C) migrated or (D) invasive cells were quantified (right panel). <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&lt;0.001. STC2, stanniocalcin 2.</p></caption>
<graphic xlink:href="OR-34-03-1494-g01.jpg"/></fig>
<fig id="f3-or-34-03-1494" position="float">
<label>Figure 3</label>
<caption>
<p><italic>STC2</italic> expression is transcriptionally regulated by <italic>HMGA2</italic> and is positively correlated with the HMGA2 level in EOC. (A) Expression of <italic>HMGA2</italic> and <italic>STC2</italic> was quantified by RT-PCR in 11 randomly selected HGSC. (B) 293T cells were transfected with reporter constructs containing various fragments of the <italic>STC2</italic> promoter (right panel) along with <italic>HMGA2</italic> expression vector (pcDNA3.1-<italic>HMGA2</italic>) or empty vector (pcDNA3.1). Luciferase activity was measured 48 h after transfection and was normalized with <italic>Renilla</italic> activity. <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01. (C) Photomicrographs show four examples of EOC cases with different immunointensity for HMGA2 (left panel) and STC2 (right panel). Correlation between HMGA2 and STC2 expression in (D) training and (E) validation cohort is shown in the dot plot and heatmap. <italic>STC2</italic>, stanniocalcin 2; <italic>HMGA2</italic>, high-mobility gene group A2; EOC, epithelial ovarian cancer; HGSC, high-grade serous cancer.</p></caption>
<graphic xlink:href="OR-34-03-1494-g02.jpg"/></fig>
<fig id="f4-or-34-03-1494" position="float">
<label>Figure 4</label>
<caption>
<p>STC2 expression correlates with tumor grade, tumor histotype and correlates with a poor overall survival in EOC. Photomicrographs show some examples of immunoreactivity for (A) HMGA2 and (B) STC2 in mucinous (MUC), low-grade serous (LGSC) and high-grade serous carcinoma (HGSC). Histograms show the average immunoreactivity for (C) HMGA2 and (D) STC2 in association with tumor grade (left) and histotype (right) in the two cohorts. <sup>&#x0002A;</sup>P&lt;0.05; <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&lt;0.001. (E) Kaplan-Meier curves of STC2 expression and overall survival in 95 advanced ovarian cancer patients. STC2, stanniocalcin 2; EOC, epithelial ovarian cancer; HMGA2, high-mobility gene group A2.</p></caption>
<graphic xlink:href="OR-34-03-1494-g03.jpg"/></fig>
<table-wrap id="tI-or-34-03-1494" position="float">
<label>Table I</label>
<caption>
<p>Characteristics of the training (n=278) and validation cohort (n=150).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Characteristics</th>
<th valign="bottom" align="center">Training cohort (%)</th>
<th valign="bottom" align="center">Validation cohort (%)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="top" align="center">160 (57.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;69 (46.0)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;50</td>
<td valign="top" align="center">118 (42.4)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;81 (54.0)</td></tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T1</td>
<td valign="top" align="center">194 (69.8)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;72 (48.0)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T2</td>
<td valign="top" align="center">&#x000A0;&#x000A0;39 (14.0)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;52 (34.7)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T3</td>
<td valign="top" align="center">&#x000A0;&#x000A0;33 (11.9)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;26 (17.3)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T4</td>
<td valign="top" align="center">&#x000A0;12 (4.3)&#x000A0;</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;0 (0.0)</td></tr>
<tr>
<td valign="top" align="left">Grading</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;1</td>
<td valign="top" align="center">&#x000A0;&#x000A0;75 (27.0)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;44 (29.3)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;2</td>
<td valign="top" align="center">&#x000A0;&#x000A0;79 (28.4)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;50 (33.3)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;3</td>
<td valign="top" align="center">124 (44.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;56 (37.3)</td></tr>
<tr>
<td valign="top" align="left">Node metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">243 (87.4)</td>
<td valign="top" align="center">143 (95.3)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;&#x000A0;35 (12.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;7 (4.7)</td></tr>
<tr>
<td valign="top" align="left">Distant metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">266 (95.7)</td>
<td valign="top" align="center">135 (90.0)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;12 (4.3)&#x000A0;</td>
<td valign="top" align="center">&#x000A0;&#x000A0;15 (10.0)</td></tr>
<tr>
<td valign="top" align="left">Histotype</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Serous</td>
<td valign="top" align="center">222 (79.9)</td>
<td valign="top" align="center">108 (72.0)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Mucinous</td>
<td valign="top" align="center">&#x000A0;&#x000A0;56 (20.1)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;42 (28.0)</td></tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">278 (100)</td>
<td valign="top" align="center">150 (100)</td></tr></tbody></table></table-wrap>
<table-wrap id="tII-or-34-03-1494" position="float">
<label>Table II</label>
<caption>
<p>Primers for construction of STC2 promoter in pGL3 luciferase plasmid.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Primer site</th>
<th valign="middle" align="center">Sequences 5&#x02032;-3&#x02032;</th>
<th valign="middle" align="center">Product (bp)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">&#x02212;290 to +43</td>
<td valign="top" align="left">F: 5&#x02032;-CCGCTCGAGACTCCTTCATTCAAGTGACA-3&#x02032;</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;334</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">R: 5&#x02032;-CCCAAGCTTACCAAAGCCAGGGTCATG-3&#x02032;</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02212;647 to +43</td>
<td valign="top" align="left">F: 5&#x02032;-CCGCTCGAGAACTTTCCCAACCCGATGT-3&#x02032;</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;691</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">R: 5&#x02032;-CCCAAGCTTACCAAAGCCAGGGTCATG-3&#x02032;</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02212;1,313 to +43</td>
<td valign="top" align="left">F: 5&#x02032;-CCGCTCGAGAACTTTCTCCTTCCCTCCA-3&#x02032;</td>
<td valign="top" align="center">1,357</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">R: 5&#x02032;-CCCAAGCTTACCAAAGCCAGGGTCATG-3&#x02032;</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02212;1,313 to &#x02212;620</td>
<td valign="top" align="left">F: 5&#x02032;-CCGCTCGAGAACTTTCTCCTTCCCTCCA-3&#x02032;</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;694</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">R: 5&#x02032;-CCCAAGCTTGTCACACCCACATCGGGTT-3&#x02032;</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-34-03-1494">
<p>STC2, stanniocalcin 2; F, forward; R, reverse.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-or-34-03-1494" position="float">
<label>Table III</label>
<caption>
<p>Association of HMGA2 and STC2 expression with clinicopathological characteristics in the training set (n=278).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="left">Characteristics</th>
<th valign="bottom" rowspan="3" align="center">Patients</th>
<th colspan="3" valign="bottom" align="center">HMGA2 immunoreactivity
<hr/></th>
<th colspan="3" valign="bottom" align="center">STC2 immunoreactivity
<hr/></th></tr>
<tr>
<th colspan="2" valign="bottom" align="center">No. of patients (%)
<hr/></th>
<th valign="bottom" align="center"/>
<th colspan="2" valign="bottom" align="center">No. of patients (%)
<hr/></th>
<th valign="bottom" align="center"/></tr>
<tr>
<th valign="bottom" align="center">Low</th>
<th valign="bottom" align="center">High</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">Low</th>
<th valign="bottom" align="center">High</th>
<th valign="bottom" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">&#x000A0;&#x000A0;72 (45.0)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;88 (55.0)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.269</td>
<td valign="top" align="center">&#x000A0;&#x000A0;75 (46.9)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;85 (53.1)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.923</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;50</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">&#x000A0;&#x000A0;61 (51.7)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;57 (48.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;56 (47.5)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;62 (52.5)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T1+T2</td>
<td valign="top" align="center">233</td>
<td valign="top" align="center">108 (46.4)</td>
<td valign="top" align="center">125 (53.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.258</td>
<td valign="top" align="center">106 (45.5)</td>
<td valign="top" align="center">127 (54.5)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.216</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T3+T4</td>
<td valign="top" align="center">&#x000A0;&#x000A0;45</td>
<td valign="top" align="center">&#x000A0;&#x000A0;25 (55.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;20 (44.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;25 (55.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;20 (44.4)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Grading</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Low</td>
<td valign="top" align="center">&#x000A0;&#x000A0;75</td>
<td valign="top" align="center">&#x000A0;&#x000A0;49 (65.3)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;26 (34.7)</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
<td valign="top" align="center">&#x000A0;&#x000A0;53 (70.7)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;22 (29.3)</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;High</td>
<td valign="top" align="center">203</td>
<td valign="top" align="center">&#x000A0;&#x000A0;84 (45.6)</td>
<td valign="top" align="center">119 (54.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;78 (43.0)</td>
<td valign="top" align="center">125 (57.0)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Node metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">114 (46.9)</td>
<td valign="top" align="center">129 (53.1)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.414</td>
<td valign="top" align="center">111 (45.7)</td>
<td valign="top" align="center">132 (54.3)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.204</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;&#x000A0;35</td>
<td valign="top" align="center">&#x000A0;&#x000A0;19 (54.3)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;16 (45.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;20 (57.1)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;15 (42.9)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Distant metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">266</td>
<td valign="top" align="center">128 (48.1)</td>
<td valign="top" align="center">138 (51.9)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.662</td>
<td valign="top" align="center">124 (46.6)</td>
<td valign="top" align="center">142 (53.4)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;0.426</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;&#x000A0;12</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;5 (41.7)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;7 (58.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;7 (58.3)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;5 (41.7)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Histotype</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Serous</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">&#x000A0;&#x000A0;92 (41.4)</td>
<td valign="top" align="center">130 (58.6)</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
<td valign="top" align="center">&#x000A0;&#x000A0;90 (40.5)</td>
<td valign="top" align="center">132 (59.5)</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Mucinous</td>
<td valign="top" align="center">&#x000A0;&#x000A0;56</td>
<td valign="top" align="center">&#x000A0;&#x000A0;41 (73.2)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;15 (26.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;41 (73.2)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;15 (26.8)</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-or-34-03-1494">
<p>HMGA2, high-mobility gene group A2; STC2, stanniocalcin 2. Bold, statistically significant.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-or-34-03-1494" position="float">
<label>Table IV</label>
<caption>
<p>Association of HMGA2 and STC2 expression with clinicopathological characteristics in the validation cohort (n=150).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="left">Characteristics</th>
<th valign="bottom" rowspan="3" align="center">Patients</th>
<th colspan="3" valign="bottom" align="center">HMGA2 immunoreactivity
<hr/></th>
<th colspan="3" valign="bottom" align="center">STC2 immunoreactivity
<hr/></th></tr>
<tr>
<th colspan="2" valign="bottom" align="center">No. of patients (%)
<hr/></th>
<th valign="bottom" align="center"/>
<th colspan="2" valign="bottom" align="center">No. of patients (%)
<hr/></th>
<th valign="bottom" align="center"/></tr>
<tr>
<th valign="bottom" align="center">Low</th>
<th valign="bottom" align="center">High</th>
<th valign="bottom" align="center">P-value</th>
<th valign="bottom" align="center">Low</th>
<th valign="bottom" align="center">High</th>
<th valign="bottom" align="center">P-value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264;50</td>
<td valign="top" align="center">&#x000A0;&#x000A0;69</td>
<td valign="top" align="center">40 (58.0)</td>
<td valign="top" align="center">29 (42.0)</td>
<td valign="top" align="center">0.368</td>
<td valign="top" align="center">27 (39.1)</td>
<td valign="top" align="center">42 (60.9)</td>
<td valign="top" align="center">0.613</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&gt;50</td>
<td valign="top" align="center">&#x000A0;&#x000A0;81</td>
<td valign="top" align="center">41 (50.6)</td>
<td valign="top" align="center">40 (49.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">35 (43.2)</td>
<td valign="top" align="center">46 (56.8)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;T1+T2</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">70 (56.5)</td>
<td valign="top" align="center">54 (43.5)</td>
<td valign="top" align="center">0.188</td>
<td valign="top" align="center">52 (41.9)</td>
<td valign="top" align="center">72 (58.1)</td>
<td valign="top" align="center">0.744</td></tr>
<tr>
<td valign="top" align="left">&#x02003;T3</td>
<td valign="top" align="center">&#x000A0;&#x000A0;26</td>
<td valign="top" align="center">11 (42.3)</td>
<td valign="top" align="center">15 (57.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">10 (38.5)</td>
<td valign="top" align="center">16 (61.5)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Grading</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Low</td>
<td valign="top" align="center">&#x000A0;&#x000A0;44</td>
<td valign="top" align="center">32 (72.7)</td>
<td valign="top" align="center">12 (27.3)</td>
<td valign="top" align="center"><bold>0.003</bold></td>
<td valign="top" align="center">25 (56.8)</td>
<td valign="top" align="center">19 (43.2)</td>
<td valign="top" align="center"><bold>0.013</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;High</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">49 (46.2)</td>
<td valign="top" align="center">57 (53.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">37 (34.9)</td>
<td valign="top" align="center">69 (65.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Node metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">79 (55.2)</td>
<td valign="top" align="center">64 (44.8)</td>
<td valign="top" align="center">0.167</td>
<td valign="top" align="center">59 (41.3)</td>
<td valign="top" align="center">84 (58.7)</td>
<td valign="top" align="center">0.933</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;7</td>
<td valign="top" align="center">&#x000A0;&#x000A0;2 (28.6)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;5 (71.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;3 (42.9)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;4 (57.1)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Distant metastasis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Absent</td>
<td valign="top" align="center">135</td>
<td valign="top" align="center">76 (56.3)</td>
<td valign="top" align="center">59 (43.7)</td>
<td valign="top" align="center">0.090</td>
<td valign="top" align="center">55 (40.7)</td>
<td valign="top" align="center">80 (59.3)</td>
<td valign="top" align="center">0.658</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Present</td>
<td valign="top" align="center">&#x000A0;&#x000A0;15</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;5 (33.3)</td>
<td valign="top" align="center">10 (66.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;7 (46.7)</td>
<td valign="top" align="center">&#x000A0;&#x000A0;&#x000A0;8 (53.3)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Histotype</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Serous</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">49 (45.4)</td>
<td valign="top" align="center">59 (54.6)</td>
<td valign="top" align="center"><bold>0.001</bold></td>
<td valign="top" align="center">38 (35.2)</td>
<td valign="top" align="center">70 (64.8)</td>
<td valign="top" align="center"><bold>0.014</bold></td></tr>
<tr>
<td valign="top" align="left">&#x02003;Mucinous</td>
<td valign="top" align="center">&#x000A0;&#x000A0;42</td>
<td valign="top" align="center">32 (76.2)</td>
<td valign="top" align="center">10 (23.8)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">24 (57.1)</td>
<td valign="top" align="center">18 (42.9)</td>
<td valign="top" align="center"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-or-34-03-1494">
<p>HMGA2, high-mobility gene group A2; STC2, stanniocalcin 2. Bold, statistically significant.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
