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<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.2012.2107</article-id>
<article-id pub-id-type="publisher-id">or-29-01-0297</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Testicular orphan nuclear receptor 4-associated protein 16 promotes non-small cell lung carcinoma by activating estrogen receptor &#x003B2; and blocking testicular orphan nuclear receptor 2</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>FANG</surname><given-names>FANG</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref><xref rid="fn1-or-29-01-0297" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHENG</surname><given-names>QINGFENG</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref><xref rid="fn1-or-29-01-0297" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>JIANZHI</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>DONG</surname><given-names>BIN</given-names></name><xref rid="af2-or-29-01-0297" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHU</surname><given-names>SAINAN</given-names></name><xref rid="af4-or-29-01-0297" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>HUANG</surname><given-names>XIAOYUN</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>YANG</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHAO</surname><given-names>BINGTIAN</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>LI</surname><given-names>SHAOLEI</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>XIONG</surname><given-names>HONGCHAO</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>CHEN</surname><given-names>JINFENG</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>WU</surname><given-names>NAN</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>SONG</surname><given-names>SONYA WEI</given-names></name><xref rid="af3-or-29-01-0297" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>CHANG</surname><given-names>CHAWNSHANG</given-names></name><xref rid="af5-or-29-01-0297" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>YANG</surname><given-names>YUE</given-names></name><xref rid="af1-or-29-01-0297" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-or-29-01-0297"/></contrib></contrib-group>
<aff id="af1-or-29-01-0297">
<label>1</label>Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing 100142</aff>
<aff id="af2-or-29-01-0297">
<label>2</label>Department of Pathology, Peking University Cancer Hospital and Institute, Beijing 100142</aff>
<aff id="af3-or-29-01-0297">
<label>3</label>Clinical Research Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142</aff>
<aff id="af4-or-29-01-0297">
<label>4</label>Department of Medical Statistics, Peking University First Hospital, Beijing 100034, P.R. China</aff>
<aff id="af5-or-29-01-0297">
<label>5</label>Departments of Pathology, Urology, Radiation Oncology, and Cancer Center, George Whipple Laboratory for Cancer Research, University of Rochester Medical Center, Rochester, NY 14642, USA</aff>
<author-notes>
<corresp id="c1-or-29-01-0297"><italic>Correspondence to:</italic> Professor Yue Yang, Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian, Beijing 100142, P.R. China, E-mail: <email>zlyangyue@bjmu.edu.cn</email></corresp><fn id="fn1-or-29-01-0297">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>10</month>
<year>2012</year></pub-date>
<pub-date pub-type="ppub">
<month>1</month>
<year>2013</year></pub-date>
<volume>29</volume>
<issue>1</issue>
<fpage>297</fpage>
<lpage>305</lpage>
<history>
<date date-type="received">
<day>22</day>
<month>08</month>
<year>2012</year></date>
<date date-type="accepted">
<day>02</day>
<month>10</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</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>The possible involvement of estrogen receptors (ERs) and testicular orphan nuclear receptors (TRs) in human non-small cell lung carcinoma (NSCLC) has been suggested, but their precise roles and their relationship remain largely unknown. This study aimed to investigate whether TR4-associated protein 16 (TRA16) regulates the ER&#x003B2; and TR2 pathways and could be a potential target in NSCLC. We used tissue microarrays including NSCLC tissues (n&#x0003D;154) and negative controls (n&#x0003D;14) to examine the expression of TRA16 and ER&#x003B2;, and <italic>in vitro</italic> reporter gene assays, the mammalian two-hybrid method and immunoprecipitation in Cos-1 cells to investigate the relationships among TRA16, ER&#x003B2; and TR2. We found that TRA16 was highly expressed in approximately 90&#x00025; of the NSCLC tissues examined. TRA16 overexpression was significantly associated with TNM stage, tumor size, lymph node metastasis, tumor thrombus in vein, tumor differentiation and prognosis of NSCLC patients, in which TRA16 was shown to be an independent prognostic factor. Introduction of TRA16 into Cos-1 cells enhanced cell proliferation. Co-expression of TRA16 and ER&#x003B2; in Cos-1 cells using different reporter gene systems and mammalian two-hybrid approaches revealed that TRA16 enhanced ER&#x003B2;-mediated transcriptional activity. By adopting similar approaches, and immunoprecipitation and immunocytofluorescence assays, we found that TRA16 also interacted with TR2, and blocked the TR2 inhibitory effect on ER&#x003B2;. Our findings demonstrate that TRA16 could be a promising diagnostic and prognostic biomarker in NSCLC, and promotes cancer cell growth through activation of the ER&#x003B2; pathway by interacting with ER&#x003B2; and TR2.</p></abstract>
<kwd-group>
<kwd>ER&#x003B2;</kwd>
<kwd>testicular orphan nuclear receptor 2</kwd>
<kwd>TR4-associated protein 16</kwd>
<kwd>non-small cell lung cancer</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is the leading cause of cancer-related death throughout the world (<xref rid="b1-or-29-01-0297" ref-type="bibr">1</xref>). Since the lack of symptoms and little help from traditional X-rays on early stage lung cancer, most patients are diagnosed with advanced stage disease and thus have poor prognosis. Therefore, there is an urgent need to explore new biomarkers to diagnose and therapeutic strategies to treat this disease at its early stages.</p>
<p>Previous studies showed that a great majority of NSCLC highly expressed estrogen receptor beta (ER&#x003B2;) (<xref rid="b2-or-29-01-0297" ref-type="bibr">2</xref>&#x02013;<xref rid="b6-or-29-01-0297" ref-type="bibr">6</xref>). Human normal bronchial and alveolar epithelial cells were also reported to express ER&#x003B2;, which was considered to contribute to the maintenance of normal lung tissue (<xref rid="b7-or-29-01-0297" ref-type="bibr">7</xref>). Niikawa <italic>et al</italic> first reported that intratumoral estradiol (an activator of ER&#x003B2;) concentration was significantly higher than that of corresponding non-neoplastic lung tissues, and positively associated with tumor size and Ki-67 labeling index (LI) in ER-positive NSCLC tissues (<xref rid="b8-or-29-01-0297" ref-type="bibr">8</xref>). Aromatase (estrogen synthetase) expression was also detected in NSCLC tissues (<xref rid="b9-or-29-01-0297" ref-type="bibr">9</xref>,<xref rid="b10-or-29-01-0297" ref-type="bibr">10</xref>). It was reported that activated ER&#x003B2; signaling promoted carcinogenisis through stimulating abnormal cell proliferation (<xref rid="b8-or-29-01-0297" ref-type="bibr">8</xref>,<xref rid="b11-or-29-01-0297" ref-type="bibr">11</xref>).</p>
<p>Steroid hormones play important physiological roles in cell differentiation, development, and homeostasis through their binding to specific receptors of the nuclear receptor superfamily (<xref rid="b12-or-29-01-0297" ref-type="bibr">12</xref>&#x02013;<xref rid="b16-or-29-01-0297" ref-type="bibr">16</xref>). Some studies showed that human testicular orphan nuclear receptor-4 (TR4) repressed the ER&#x003B2;-mediated transactivation of its downstream signal pathways in lung cancer cells and indicated that TR4 might be a potential tumor suppressor gene (<xref rid="b17-or-29-01-0297" ref-type="bibr">17</xref>). We previously found that TR4-associated protein (TRA16) suppressed the TR4-mediated ER&#x003B2; activity and its downstream signaling by interrupting binding of TR4 with TR4 response element (TR4RE) and blocking TR4 dimerization in lung cancer cells (<xref rid="b18-or-29-01-0297" ref-type="bibr">18</xref>), suggesting that TRA16 plays a role in lung cancer development.</p>
<p>TR2 is highly homologous with TR4 and both were reported to act as transcriptional factors to regulate gene expression in embryonic stem cells and early embryos (<xref rid="b19-or-29-01-0297" ref-type="bibr">19</xref>). TR2 was also shown to repress the ER&#x003B2;-mediated transactivation of its downstream signal pathway in lung cancer cells (<xref rid="b20-or-29-01-0297" ref-type="bibr">20</xref>). Thus, this study further investigated the role of TRA16 in NSCLC and the relationships among TRA16, TR2 and ER&#x003B2;. We demonstrate that TRA16 is highly expressed in NSCLC tissues, and its expression level is increased with increased malignancy and negatively correlated with survival of NSCLC patients. Furthermore, we show that TRA16 promotes cancer cell growth through activating ER&#x003B2; and blocking TR2 activity.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients, tissue specimens, and cell lines</title>
<p>This study was approved by Institutional Review Committee of Beijing Cancer Hospital. As summarized in <xref rid="tI-or-29-01-0297" ref-type="table">Table I</xref>, a total of 154 NSCLC specimens were obtained from patients who underwent surgical resection from 1995 to 2000 in the Department of Thoracic Surgery II of Beijing Cancer Hospital. The median overall survival time was obtained from all the patients examined and the follow-up was from September 1995 till September 2005. The median follow-up time was 38.9 months (from 1.5 to 109 months). Lung tissues from 12 benign lung disease patients and 2 thoracic injury patients were collected as controls. All the patients and controls gave informed consent for the study.</p>
<p>NSCLC cell types included squamous carcinoma, adenocarcinoma (including bronchioloalveolar carcinoma), large cell carcinoma, adenosqumous carcinoma, and salivary adenocarcinoma. Benign diseases included inflammatory pseudotumor, tuberculosis, sclerotic hemangioma, and harmatoma. The tissue samples were histologically confirmed by two independent pathologists. Monkey kidney cell line COS-1 was obtained from the American Type Culture Collection and maintained in DMEM with 10&#x00025; fetal bovine serum (FBS) (Gibco).</p></sec>
<sec>
<title>Tissue microarray and immunohistochemical (IHC) analysis</title>
<p>Tissue microarray was constructed as described previously using a manual tissue arrayer (Beecher Instruments) (<xref rid="b21-or-29-01-0297" ref-type="bibr">21</xref>). Briefly, H&amp;E slides of each tissue sample were reviewed by two pathologists. A tumor tissue block was chosen for the tissue microarray. Scarred, myxoid, and hypocellular areas were avoided. Two tissue cores with a diameter of 0.6-mm were taken from each block and inserted into the blank tissue microarray block. The whole set of tissue array contained two chips (A and B), in which chip A had 78 NSCLCs and 3 benign controls and chip B contained 76 NSCLCs and 11 benign controls.</p>
<p>The tissue microarrays were deparaffinized in xylene and ethanol. Antigen retrieval was done by heating the slides in an autoclave at 120&#x000B0;C for 3 min in citric acid buffer. The primary antibody was mouse monoclonal anti-TRA16 (<xref rid="b22-or-29-01-0297" ref-type="bibr">22</xref>) (1:200 dilution in PBS) or rabbit monoclonal anti-ER&#x003B2; (1:100 dilution in PBS, Dako). The immunostaining was carried out using the EnVision method (Dako) according to the manufacturer&#x02019;s instructions. Brown staining was considered positive. Normal mouse IgG was used instead of the primary antibody as a negative control.</p></sec>
<sec>
<title>Stable transfection of Cos-1 cells and methyl thiazolyl tetrazolium (MTT) assay</title>
<p>Cos-1 cells, which are TR2-negative and express very low level of TRA16, were transfected with pBig or pBig-TRA16 using SuperFect (Qiagen). The cells were then selected using 100 &#x003BC;g/ml hygromycin B to generate stable clones, which were confirmed by reporter gene assay. The established stable pBig-TRA16-Cos-1 cells (5&#x000D7;10<sup>4</sup>) per well were seeded in 12-well plates. After 12 h, the medium was changed to DMEM medium with 10&#x00025; FBS for another 4 days and then treated with doxycycline (6 &#x003BC;g/ml) or DMSO for induction of TRA16 expression for 24 h.</p>
<p>For the MTT assay, 2&#x000D7;10<sup>3</sup> of Cos-1 cells per well were plated in 96-well plates with RPMI-1640 medium containing 10&#x00025; FBS and incubated at 37&#x000B0;C overnight. After 1, 2, 3, or 4 days, 200 &#x003BC;l of MTT (5 mg/ml, Sigma) was added to each well for 3-h incubation, then 2 ml of 0.04 M HCl in isopropyl alcohol was added to each well to stop the reaction. After 5 min of incubation at room temperature, the absorbance was read at 570 nm.</p></sec>
<sec>
<title>Transient transfection and mammalian two hybrid assays</title>
<p>Cos-1 cells (2.5&#x000D7;10<sup>4</sup>) per well were plated in 12-well plates. The next day, the medium was changed to a medium containing 10&#x00025; charcoal-stripped serum to deprive the cells of steroid hormones. The cells were then transfected the following day. Transfections were performed using SuperFect (Qiagen) according to the manufacturer&apos;s instructions. The cells were transiently cotransfected with reporter plasmids pERE-TK-Luc (a gift from Dr M. Nichols at University of Pittsburgh, Pittsburgh, PA) and ER&#x003B2; with or without TRA16. After 24 h, the cells were incubated with 10 nM estrogen or androgen if necessary for 24 h and then harvested using lysis buffer (Promega) to detect the interaction between TRA16 and ER&#x003B2;.</p>
<p>To further prove the interaction between TRA16 and ER&#x003B2;, the Cos-1 cells were transiently co-transfected with reporter plasmid pG5-Luc and each of GAL4DBD, VP16, VP16-TRA16, and GAL4-ER&#x003B2; in mammalian two hybrid system. As negative controls, the Cos-1 cells were transiently cotransfected with PPRE-Luc, MMTV-Luc, PSA-Luc, ARE-Luc, and the pRL-CMV (Promega, Madison, WI) to confirm the specifity of the interaction between TRA16 and ER&#x003B2;.</p>
<p>To assess the interaction between TRA16 and TR2, we adopted three approaches. First, we transiently co-transfected TR2 and TRA16 or TR2 alone into Cos-1 cells to measure the inhibition of TR2 transcriptional activity by TRA16. Second, pBig-TRA16-Cos-1 and pBig-Cos-1 stable cells were transiently co-transfected with HCR-1-Luc reporter and TR2 for 24 h, then transfected cells were treated with doxycycline to induce TRA16 expression, and measure the TR2 activity. Third, we transiently co-transfected the reporter plasmid pG5-Luc and each of GAL4DBD, VP16, VP16-TR2, and GAL4-TRA16 in mammalian two-hybrid system to further prove the interaction between TRA16 and TR2. The luciferase activity was measured using the Dual-Luciferase System (Promega) by TD 20/20 luminometer. Values of the luciferase activity were corrected for protein concentration and presented as the mean &#x000B1; SD of three independent experiments.</p></sec>
<sec>
<title>Immunoprecipitation assay</title>
<p>Cos-1 cells were transiently transfected with TR2 and either TRA16 or pcDNA4 control for 48 h and then harvested and dissolved in lysis buffer (1&#x00025; Nonidet P-40, 10&#x00025; glycerol, 135 mM NaCl, 40 mM Tris, pH 7.4, 1 mM phenylmethylsulfonyl fluoride, 1 mM dithiothreitol, and 1X protease inhibitor cocktail Roche). Cell lysates containing 500 &#x003BC;g of proteins were precleared with 20 &#x003BC;l of protein A/G Plus-agarose and 1.0 &#x003BC;g of normal mouse IgG (Santa Cruz Biotechnology) for 30 min. The supernatant was then mixed with a 1:100 dilution of mouse TR2 antibody at 4&#x000B0;C for 2 h, followed by adding protein A/G Plus-agarose and incubated for another 2 h. Immunoprecipitates obtained by spinning down protein A/G Plus-agarose were washed with PBS for three times and separated on SDS-8&#x00025; PAGE. After transferring to the membrane, the protein was detected by anti-His-tag or anti-TR2 antibodies.</p></sec>
<sec>
<title>Immunocytofluorescence assay</title>
<p>Cos-1 cells transiently co-transfected with TR2 and TRA16 were seeded on two-well Lab Tek Chamber slides (Nalge) for 48 h. Immunostaining was performed as described previously (<xref rid="b18-or-29-01-0297" ref-type="bibr">18</xref>) by incubating with mouse anti-TRA16 monoclonal antibody and/or rabbit anti-TR2 monoclonal antibody, and then followed by incubating with either fluorescein-conjugated goat anti-mouse or anti-rabbit antibodies. Coverslips were fixed on the glass slides with a drop of DAPI to stain the nucleus. The slides were observed under 400-fold magnification of a fluorescence microscope or confocal fluorescence microscope.</p></sec>
<sec>
<title>Data analysis</title>
<p>SPSS v11.0 software was used to perform statistical analysis. Chi-square test was used to analyze the assocation between TRA16 expression and different clinical factors in NSCLC patients. Univariate and multivariate Cox regression hazards models were used to analyze the correlation of individual factors with overall survival of NSCLC patients. Log-rank test and Kaplan-Meier survival analysis were used to examine the effect of individual factors on prognosis of NSCLC patients. Values of P&lt;0.05 were considered significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>TRA16 is highly expressed in non-small cell lung cancer</title>
<p>We previously found that TRA16 was highly expressed in lung adenocarcinoma cell line H1299 (<xref rid="b18-or-29-01-0297" ref-type="bibr">18</xref>). To investigate the expression of TRA16 in NSCLC tissues, we performed tissue microarrays with 154 NSCLCs, in which 134 NSCLC samples were qualified for data analysis (<xref rid="tII-or-29-01-0297" ref-type="table">Table II</xref>). The results of TRA16 tissue microarray and its expression level and distribution in different NSCLC cell types are exemplified in <xref rid="f1-or-29-01-0297" ref-type="fig">Fig. 1A-D</xref>. We found that all the control samples were TRA16-negative, but 120 lung cancer samples were TRA16-positive (&#x0002B;, &#x0002B;&#x0002B;, or &#x0002B;&#x0002B;&#x0002B;) with the positive rate of 89.55&#x00025; (120/134) (P&lt;0.001). When categorizing the samples with the staining intensity of &#x0002B;&#x0002B; or &#x0002B;&#x0002B;&#x0002B; as strong positive, there were 105 strong positive samples accounting for 78.36&#x00025; (105/143) of the NSCLCs. The 105 samples included 55 adenocarcinoma (83.3&#x00025;, 55/66), 43 squamous carcinoma (71.7&#x00025;, 43/60). No correlation of TRA16 expression with NSCLC cell types was observed (P&#x0003D;0.230). The Chi-square test indicated that the TRA16 expression was correlated with TNM stage (P&#x0003D;0.016).</p></sec>
<sec>
<title>TRA16 expression is correlated with prognosis of NSCLC patients</title>
<p>An univariate Cox regression analysis of clinicopathologic parameters and TRA16 expression showed that TNM stage, tumor size, lymph node metastasis, tumor thrombus, cell differentiation, and TRA16 expression were significantly associated with overall survival of NSCLC patients (<xref rid="tIII-or-29-01-0297" ref-type="table">Table III</xref>). The multivariate Cox regression analysis showed that lymph node metastasis, tumor thrombus formation, poor cell differentiation, and high expression of TRA16 were independent prognostic factors in NSCLC (<xref rid="tIII-or-29-01-0297" ref-type="table">Table III</xref>). The Kaplan-Meier analysis showed that the patients with higher TRA16 expression had significantly shorter overall survival than those with lower TRA16 expression (P&#x0003D;0.0348) (<xref rid="f1-or-29-01-0297" ref-type="fig">Fig. 1E</xref>), similarly to the standard clinical prognostic factors of TNM stage, lymph node metastasis, and tumor differentiation.</p></sec>
<sec>
<title>TRA16 expression is correlated with ER&#x003B2; expression in NSCLC tissues</title>
<p>Our previous studies demonstrated that TRA16 inhibited the function of TR4 in lung cancer cell line H1299 and resultantly relieved TR4-repressed ER&#x003B2; activity (<xref rid="b18-or-29-01-0297" ref-type="bibr">18</xref>). To further determine the relationship between TRA16 and ER&#x003B2; in NSCLC, we analyzed the expressions of TRA16 and ER&#x003B2; in 71 NSCLC tissues and 2 benign samples using the tissue microarrays. We found that among the 71 NSCLC tumors, 35 cases were ER&#x003B2;-positive with 22 cases (&#x0002B;), 9 cases (&#x0002B;&#x0002B;), and 4 cases (&#x0002B;&#x0002B;&#x0002B;), while 36 cases and two benign controls were ER&#x003B2;-negative. When using the TRA16 expression to stratify the 71 cases into no or low (&#x0002B;) level group (n&#x0003D;15) and high level (&#x0002B;&#x0002B; &#x02212; &#x0002B;&#x0002B;&#x0002B;) group (n&#x0003D;56) and then analyzing the difference of the ER&#x003B2; expression between the two groups, we found that the ER&#x003B2; expression in the high level group of TRA16 was significantly higher than that in the no or low level group, while only one of 15 samples in the no or low level group of TRA16 showed ER&#x003B2;-positive (P&lt;0.001) (<xref rid="tII-or-29-01-0297" ref-type="table">Table II</xref>), suggesting their functional association.</p></sec>
<sec>
<title>TRA16 enhances cell proliferation in Cos-1 cells</title>
<p>The increased expression of TRA16 in NSCLC indicated that TRA16 could play an important role in lung cancer development. Thus, we performed the MTT assay to study the effect of TRA16 on cell growth by transfecting doxycycline-inducible TRA16 in pBig vector into Cos-1 cells. We found that the doxycycline-treated group had a significantly higher cell growth than the DMSO-treated control group.</p></sec>
<sec>
<title>Interaction of TRA16 and ER&#x003B2; enhances ER&#x003B2; activity</title>
<p>To further explore the functional association between TRA16 and ER&#x003B2;, we performed several reporter gene assays by transient transfection of different combinations of plasmids into Cos-1 cells (<xref rid="f2-or-29-01-0297" ref-type="fig">Fig. 2</xref>). We found that when transiently co-transfecting ER&#x003B2; response element (ERE)-Luc reporter and ER&#x003B2; with or without TRA16 into Cos-1 cells, after adding 10 nM of estradiol (E<sub>2</sub>) to stimulate ER&#x003B2; activity, TRA16 significantly enhanced the ER&#x003B2; activity in Cos-1 cells compared with the ER&#x003B2; alone (<xref rid="f2-or-29-01-0297" ref-type="fig">Fig. 2A</xref>). Further, in the mammalian two-hybrid assay by transfecting the reporter plasmid pG5-Luc and each of GAL4DBD, VP16, VP16-TRA16, and GAL4-ER&#x003B2; in various combinations as indicated into Cos-1 cells, we found that after the stimulation of E<sub>2</sub>, the co-presence of TRA16 and ER&#x003B2; significantly enhanced the ER&#x003B2; activity in Cos-1 cells (<xref rid="f2-or-29-01-0297" ref-type="fig">Fig. 2B</xref>), indicating that TRA16 interacted with ER&#x003B2;.</p>
<p>To clarify the specificity of the association of TRA16 and ER&#x003B2;, similar but negative control experiments were performed by co-transfecting TRA16 and PPAR or androgen receptor (AR) in Cos-1 cells. As shown in <xref rid="f2-or-29-01-0297" ref-type="fig">Fig. 2C and D</xref>, TRA16 had little effect on activation of both PPAR and AR.</p></sec>
<sec>
<title>TRA16 interacts with TR2 enhancing ER&#x003B2; activity</title>
<p>We previously demonstrated that TRA16 bound to TR4 and blocked TR4 dimerization and thus inhibited TR4 activity in lung cancer cells (<xref rid="b18-or-29-01-0297" ref-type="bibr">18</xref>). TR2 and TR4 are highly homologous and TR2 can suppress ER&#x003B2;-mediated cell growth in lung cancer cells <italic>in vitro</italic>(<xref rid="b19-or-29-01-0297" ref-type="bibr">19</xref>,<xref rid="b20-or-29-01-0297" ref-type="bibr">20</xref>). To assess a potential relationship between TRA16 and TR2, we performed similar reporter gene assays as described above. We found that when HCR-1-Luc reporter gene and TR2 with or without TRA16 were co-transfected into Cos-1 cells, TRA16 strongly inhibited TR2 transcriptional activity in Cos-1 cells (<xref rid="f3-or-29-01-0297" ref-type="fig">Fig. 3A</xref>). Similarly, the doxycycline-inducible assay using the pBig-Cos-1 and pBig-TRA16-Cos-1 cell system showed that after treatment of 6 &#x003BC;g/ml doxycycline, TR2 activity was significantly lower in pBig-TRA16-Cos-1 cells than that in pBig-Cos-1 cells (<xref rid="f3-or-29-01-0297" ref-type="fig">Fig. 3B</xref>). Moreover, the mammalian two-hybrid assay demonstrated that the co-expression of TRA16 and TR2 significantly enhanced the reporter Luc activity compared with TR2 or TRA16 alone (<xref rid="f3-or-29-01-0297" ref-type="fig">Fig. 3C</xref>), suggesting the association of TRA16 and TR2.</p>
<p>Furthermore, the immunoprecipitation assay showed that TRA16 directly interacted with TR2 (<xref rid="f3-or-29-01-0297" ref-type="fig">Fig. 3D</xref>), and TRA16 and TR2 were co-localized in the nuclear membrane by immunocytofluorescence assay (<xref rid="f3-or-29-01-0297" ref-type="fig">Fig. 3E</xref>). Taken together, the findings suggest that TRA16 interact with TR2 to release TR2-inhbitory role in ER&#x003B2; activity in addition to its direct stimulation of ER&#x003B2; signaling.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Our study reports that TRA16 is highly expressed in NSCLCs and its expression level is negatively correlated with the overall survival of NSCLC patients, and it enhances ER&#x003B2; signaling pathway by direct stimulation of ER&#x003B2; activity and through suppressing TR2-inhibitory effect on ER&#x003B2; for cancer cell growth, suggesting TRA16 is a promising diagnostic and prognostic biomarker and potential target in NSCLC.</p>
<p>Tumor biomarkers, such as CEA, CA125, NSE, CYFRA21-1, and p53, are currently used in cancer diagnosis and prognosis, but few of them are ideal for NSCLC because of low sensitivity and specificity (<xref rid="b23-or-29-01-0297" ref-type="bibr">23</xref>&#x02013;<xref rid="b25-or-29-01-0297" ref-type="bibr">25</xref>). For stage I NSCLC patients, the five-year survival rate exceeds 60&#x00025;, but the patients with metastatic spread to regional or distant sites, who account for at least three quarters of lung cancer patients at the time of diagnosis, have only approximately 15&#x00025; five-year survival rate (<xref rid="b26-or-29-01-0297" ref-type="bibr">26</xref>). Therefore, if the NSCLC can be diagnosed in early stages, the patient survival rate and time could be significantly improved. This study demonstrates that TRA16 is highly expressed in approximately 90&#x00025; of NSCLCs, in which over 71&#x00025; of stage I NSCLC overexpress TRA16, which is not expressed in lung benign diseases and normal lung tissues, indicating its potential for NSCLC diagnosis, especially for early stage NSCLC.</p>
<p>Furthermore, our findings of the correlation of increased expression of TRA16 with increased malignancy of NSCLC demonstrate that TRA16 could be a valuable biomarker to monitor the progression of the tumor, and provide physicians with useful information to evaluate the severity of the disease and to choose proper treatments for NSCLC patients.</p>
<p>For a long time, researchers have proposed that sexual hormone, such as progesterone and estrogen, may play important roles in lung cancer carcinogenesis and development (<xref rid="b27-or-29-01-0297" ref-type="bibr">27</xref>,<xref rid="b28-or-29-01-0297" ref-type="bibr">28</xref>), which was supported by recent clinical findings of abnormal expression of ER&#x003B2; (<xref rid="b2-or-29-01-0297" ref-type="bibr">2</xref>&#x02013;<xref rid="b6-or-29-01-0297" ref-type="bibr">6</xref>) and increased intratumoral estrodial concentration in NSCLC tissues (<xref rid="b8-or-29-01-0297" ref-type="bibr">8</xref>). There are several possible mechanisms that may be involved in the abnormal activation of hormone related signaling transduction pathways. First, the high serum hormone level or high hormone receptor expression level can up-regulate downstream signaling pathways to stimulate target cell proliferation (<xref rid="b8-or-29-01-0297" ref-type="bibr">8</xref>). Second, the mutation of hormone receptors may increase the ligand binding affinity or be activated by other ligands (<xref rid="b29-or-29-01-0297" ref-type="bibr">29</xref>,<xref rid="b30-or-29-01-0297" ref-type="bibr">30</xref>). Third, the abnormality of hormone receptor co-factors can active the downstream signaling transduction pathway, and then promote oncogenesis (<xref rid="b31-or-29-01-0297" ref-type="bibr">31</xref>).</p>
<p>TRA16 belongs to the co-factors of nuclear receptors (NRs) with which it interacts to affect the transcriptional activity of NRs. Our findings that the concordant expressions of TRA16 and ER&#x003B2; in NSCLC and their interaction suggest that TRA16 may serve as an upstream positive regulator of ER&#x003B2; in NSCLC. Moreover, we have observed the interaction between TRA16 and TR2. Therefore, possible interactions among TRA16, TR2, TR4, and ER&#x003B2; could be proposed. TR2 and TR4 inhibit ER&#x003B2; signaling pathways. In addition to its direct stimulation of ER&#x003B2;, TRA16 also directly interacts with TR2 and TR4 that results in the release of ER&#x003B2; from TR2 and TR4 inhibition, which consequently leads to the tumorigenesis. Since it is highly and specifically expressed in tumor tissues, TRA16 may be used as a tumor-specific therapeutic target for lung cancer treatments in the form of anti-TRA16 antibody or TRA16 shRNA.</p>
<p>Therefore, there are still many questions to be answered, such as what are the upstream regulators of TRA16 and its interaction sites with ER&#x003B2; and TR2, and whether the TRA16 expression can be detected in circulating cancer cells in patient blood that could be used to easily screen and diagnose patients with NSCLC, all of which will be investigated in future studies.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by National Institutes of Health Grant DK56784, a George Whipple Professorship Endowment, Beijing Natural Science Foundation, and National Natural Science Foundation. We thank Dr P. Monaghan-Nichols from University of Pittsburgh School of Medicine for kindly providing the reporter plasmids, Dr Wanzhong Zou from Peking University Health Science Center of Pathology, Mrs. E. Jie, and Mrs. Hong Du from Peking University Cancer Hospital for their excellent technical assistance.</p></ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">ER&#x003B2;</term>
<def>
<p>estrogen receptor &#x003B2;</p></def></def-item>
<def-item>
<term id="G2">TR2</term>
<def>
<p>testicular orphan nuclear receptor 2</p></def></def-item>
<def-item>
<term id="G3">TRA16</term>
<def>
<p>TR4-associated protein 16</p></def></def-item>
<def-item>
<term id="G4">NSCLC</term>
<def>
<p>non-small cell lung cancer</p></def></def-item>
<def-item>
<term id="G5">OS</term>
<def>
<p>overall survival</p></def></def-item>
<def-item>
<term id="G6">E2</term>
<def>
<p>estradiol</p></def></def-item>
<def-item>
<term id="G7">NRs</term>
<def>
<p>nuclear receptors</p></def></def-item>
<def-item>
<term id="G8">LI</term>
<def>
<p>labeling index</p></def></def-item>
<def-item>
<term id="G9">TR4RE</term>
<def>
<p>TR4 response element</p></def></def-item>
<def-item>
<term id="G10">FBS</term>
<def>
<p>fetal bovine serum</p></def></def-item>
<def-item>
<term id="G11">MTT</term>
<def>
<p>methyl thiazolyl tetrazolium</p></def></def-item></def-list></glossary>
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<floats-group>
<fig id="f1-or-29-01-0297" position="float">
<label>Figure 1</label>
<caption>
<p>TRA16 expression in NSCLC and control tissues by tissue microarray analysis and its association with overall survival (OS) in NSCLC patients. (A) Two tissue chips were stained with H&amp;E (upper panel) and TRA16 antibody (lower panel). Among total 154 cases, 134 cases were qualified to be analyzed. (B) Examples of TRA16 expression in two adenocarcinoma cases. Case 37151 was TRA16-positive (&#x0002B;&#x0002B;&#x0002B;), and Case 35983 was TRA16-negative (&#x02212;). (C) TRA16 staining in different benign lung diseases showing TRA16-negative (&#x02212;). (D) TRA16 expression in different cell types of NSCLC. (E) The Kaplan-Meier survival analysis and a log-rank test showed that lung cancer patients with high TRA16 expression had a significantly worse OS (A, P&#x0003D;0.0348).</p></caption>
<graphic xlink:href="OR-29-01-0297-g00.gif"/></fig>
<fig id="f2-or-29-01-0297" position="float">
<label>Figure 2</label>
<caption>
<p>The interaction of TRA16 and ER&#x003B2; on the ER&#x003B2; activity in mammalian Cos-1 cells. (A) Cos-1 cells were transiently co-transfected with 3 &#x003BC;g of ERE-Luc reporter, 0.5 &#x003BC;g of ER&#x003B2;, and 3 &#x003BC;g of TRA16 expression plasmids for 24 h, then treated with either 10 nM E<sub>2</sub> or ethanol vehicle for the other 24 h to measure the luciferase activities. (B) Cos-1 cells were transiently co-transfected with 3 &#x003BC;g of reporter plasmid pG5-Luc and 3.5 &#x003BC;g each of GAL4DBD, VP16, VP16-TRA16, and GAL4-ER&#x003B2; in various combinations, then treated with either 10 nM E<sub>2</sub> or ethanol vehicle for 24 h to measure luciferase activities. (C) Cos-1 cells were transiently co-transfected with 3 &#x003BC;g of reporter plasmid PPRE-LUC, 1 &#x003BC;g of PPAR&#x003B3;, and different doses (3.0 and 6.0 &#x003BC;g) of TRA16, then treated with 3 &#x003BC;M of 15dJ2 (an activator of PPAR&#x003B3;) for another 24 h to measure luciferase activities. (D) Cos-1 cells were transiently co-transfected with 3 &#x003BC;g of different reporter plasmids (MMTV-Luc, PSA-Luc, or ARE-Luc), and both AR and TRA16 (ratio: 1:3 and 1:6) for 24 h, and then treated with 10 nM of DHT to measure luciferase activities.</p></caption>
<graphic xlink:href="OR-29-01-0297-g01.gif"/></fig>
<fig id="f3-or-29-01-0297" position="float">
<label>Figure 3</label>
<caption>
<p>Interaction between TRA16 and TR2 detected by different methods. (A) Cos-1 cells were transiently co-transfected with 3 &#x003BC;g of HCR-1-Luc reporter, 1 &#x003BC;g of TR2, and increased amount of TRA16 expression plasmid, and 24 h after transfection, the luciferase activity was measured. (B) pBig-TRA16-Cos-1 and pBig-Cos-1 stable cells were transiently co-transfected with 3 &#x003BC;g of HCR-1-Luc reporter, and 1 &#x003BC;g of TR2 for 24 h, then treated with either 6 &#x003BC;g/ml doxycycline or DMSO vehicle for another 24 h, and the luciferase activity was measured. (C) Cos-1 cells were transiently co-transfected with 4 &#x003BC;g of reporter plasmid pG5-Luc and 4 &#x003BC;g each of GAL4DBD, VP16, VP16-TR2, and GAL4-TRA16 in various combinations as indicated, and then cultured for 24 h to measure the luciferase activities. (D) Cos-1 cells were transiently co-transfected with 4 &#x003BC;g TR2 and 8 &#x003BC;g either TRA16 or pcDNA4c for 48 h, then the cell lysates were harvested, precleared and added with anti-TR2 antibody and protein G-agarose beads. The immunoprecipitates obtained were subjected to 8&#x00025; SDS-PAGE to detect the pull-down protein. (E) Cos-1 cells were transiently co-transfected with TR2 and TRA16, then stained with anti-TRA16 or anti-TR2 antibody, and then corresponding second antibodies. DAPI was added to stain the nucleus. The cells were then observed under the fluorescent microscopy. The green signal represents TRA16, the red signal represents TR2, the yellow signal represents co-localization of TRA16 and TR2, and the blue signal represents the DAPI-stained nucleus.</p></caption>
<graphic xlink:href="OR-29-01-0297-g02.gif"/></fig>
<table-wrap id="tI-or-29-01-0297" position="float">
<label>Table I</label>
<caption>
<p>Clinicopathological characteristics of patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">No. of patients (&#x00025;)</th></tr></thead>
<tbody>
<tr>
<td colspan="2" align="left" valign="top">Gender</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="right" valign="top">113 (73)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="right" valign="top">41 (27)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Age</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;60</td>
<td align="right" valign="top">68 (44)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&gt;60</td>
<td align="right" valign="top">86 (56)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Histology</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Squamous carcinoma</td>
<td align="right" valign="top">73 (47)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Adenocarcinoma</td>
<td align="right" valign="top">70 (45)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="right" valign="top">11 (7)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">TNM stage</td></tr>
<tr>
<td align="left" valign="top">&#x02003;I</td>
<td align="right" valign="top">54 (35)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;II</td>
<td align="right" valign="top">54 (35)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;IIIA</td>
<td align="right" valign="top">46 (30)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Tumor size</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T1</td>
<td align="right" valign="top">18 (12)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T2</td>
<td align="right" valign="top">62 (40)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="right" valign="top">74 (48)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Lymph node metastasis</td></tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="right" valign="top">105 (68)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="right" valign="top">49 (32)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Tumor thrombus</td></tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="right" valign="top">131 (85)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="right" valign="top">23 (15)</td></tr>
<tr>
<td colspan="2" align="left" valign="top">Differentiation</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Poor</td>
<td align="right" valign="top">66 (43)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Moderate</td>
<td align="right" valign="top">46 (30)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="right" valign="top">39 (25)</td></tr></tbody></table></table-wrap>
<table-wrap id="tII-or-29-01-0297" position="float">
<label>Table II</label>
<caption>
<p>The expression level of TRA16 in human lung clinical samples.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">TRA16 expression</th>
<th align="center" valign="bottom">&#x0002B;&#x0002B;/&#x0002B;&#x0002B;&#x0002B; (&#x00025;)</th>
<th align="center" valign="bottom">&#x02212;/&#x0002B;</th>
<th align="center" valign="bottom">Total</th>
<th align="center" valign="bottom">P</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Control</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">14</td>
<td align="right" valign="top">14</td>
<td align="right" valign="top">&lt;0.001</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Benign disease</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">12</td>
<td align="right" valign="top">12</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Inflammatory pseudotumor</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">4</td>
<td align="right" valign="top">4</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Tuberculosis</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">4</td>
<td align="right" valign="top">4</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Sclerotic hemangioma</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;Harmatoma</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Normal</td>
<td align="center" valign="top">0 (0)</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top">2</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">Lung cancer cell type</td>
<td align="center" valign="top">105 (78.36)</td>
<td align="right" valign="top">29</td>
<td align="right" valign="top">134</td>
<td align="right" valign="top">0.230</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Squmous cell</td>
<td align="center" valign="top">43 (71.67)</td>
<td align="right" valign="top">17</td>
<td align="right" valign="top">60</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Adenocarcinoma</td>
<td align="center" valign="top">55 (83.33)</td>
<td align="right" valign="top">11</td>
<td align="right" valign="top">66</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="center" valign="top">7 (87.50)</td>
<td align="right" valign="top">1</td>
<td align="right" valign="top">8</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td align="center" valign="top">128 (83.12)</td>
<td align="right" valign="top">26</td>
<td align="right" valign="top">154</td>
<td align="right" valign="top"><bold>0.016</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;I</td>
<td align="center" valign="top">39 (72.22)</td>
<td align="right" valign="top">15</td>
<td align="right" valign="top">54</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;II</td>
<td align="center" valign="top">46 (85.18)</td>
<td align="right" valign="top">8</td>
<td align="right" valign="top">54</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;IIIA</td>
<td align="center" valign="top">43 (93.48)</td>
<td align="right" valign="top">3</td>
<td align="right" valign="top">46</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">ER expression</td>
<td align="center" valign="top">56 (78.87)</td>
<td align="right" valign="top">15</td>
<td align="right" valign="top">71</td>
<td align="right" valign="top"><bold>&lt;0.001</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0002B;&#x0002B;/&#x0002B;&#x0002B;&#x0002B;</td>
<td align="center" valign="top">34 (97.14)</td>
<td align="right" valign="top">1</td>
<td align="right" valign="top">35</td>
<td align="right" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02212;/&#x0002B;</td>
<td align="center" valign="top">22 (61.11)</td>
<td align="right" valign="top">14</td>
<td align="right" valign="top">36</td>
<td align="right" valign="top"/></tr></tbody></table></table-wrap>
<table-wrap id="tIII-or-29-01-0297" position="float">
<label>Table III</label>
<caption>
<p>Univariate and multivariate Cox regression analysis of clinicopathological and genetic factors for prognosis in NSCLC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom" rowspan="3">Clinicopathological and genetic factors</th>
<th align="center" valign="bottom" rowspan="3">Patient no.</th>
<th align="center" valign="bottom" rowspan="3">Median OS (month)</th>
<th colspan="2" align="center" valign="bottom">P-value</th></tr>
<tr>
<th colspan="2" align="left" valign="bottom">
<hr/></th></tr>
<tr>
<th align="center" valign="bottom">Univariate analysis</th>
<th align="center" valign="bottom">Multivariate analysis</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.2372</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="right" valign="top">113</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="right" valign="top">41</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.8500</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;60</td>
<td align="right" valign="top">68</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&gt;60</td>
<td align="right" valign="top">86</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Smoking history</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.7769</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="right" valign="top">92</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="right" valign="top">62</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Histopathological classification</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.6300</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Squamous cell</td>
<td align="right" valign="top">73</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Adenocacinona</td>
<td align="right" valign="top">70</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="right" valign="top">11</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">TNM stage</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0000</bold></td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;I</td>
<td align="right" valign="top">54</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;II</td>
<td align="right" valign="top">54</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;IIIA</td>
<td align="right" valign="top">46</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Tumor size</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0093</bold></td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T1</td>
<td align="right" valign="top">18</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T2</td>
<td align="right" valign="top">62</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="right" valign="top">74</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Lymph node metastasis</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0000</bold></td>
<td align="center" valign="top"><bold>0.007</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="right" valign="top">105</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="right" valign="top">49</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Tumor thrombus in vana</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0177</bold></td>
<td align="center" valign="top"><bold>0.007</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="right" valign="top">131</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="right" valign="top">23</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">Cell differentiation</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0151</bold></td>
<td align="center" valign="top"><bold>0.000</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;Well-differentiated</td>
<td align="right" valign="top">39</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Moderately-differentiated</td>
<td align="right" valign="top">46</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Poorly-differentiated</td>
<td align="right" valign="top">66</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">TRA16 expression</td>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"><bold>0.0348</bold></td>
<td align="center" valign="top"><bold>0.020</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;(&#x02212;) (&#x0002B;)</td>
<td align="right" valign="top">25</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;(&#x0002B;&#x0002B;) (&#x0002B;&#x0002B;&#x0002B;)</td>
<td align="right" valign="top">109</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-29-01-0297">
<p>OS, overall survival.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
