Testicular orphan nuclear receptor 4-associated protein 16 promotes non-small cell lung carcinoma by activating estrogen receptor β and blocking testicular orphan nuclear receptor 2
- Authors:
- Published online on: October 26, 2012 https://doi.org/10.3892/or.2012.2107
- Pages: 297-305
Abstract
Introduction
Lung cancer is the leading cause of cancer-related death throughout the world (1). 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.
Previous studies showed that a great majority of NSCLC highly expressed estrogen receptor beta (ERβ) (2–6). Human normal bronchial and alveolar epithelial cells were also reported to express ERβ, which was considered to contribute to the maintenance of normal lung tissue (7). Niikawa et al first reported that intratumoral estradiol (an activator of ERβ) 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 (8). Aromatase (estrogen synthetase) expression was also detected in NSCLC tissues (9,10). It was reported that activated ERβ signaling promoted carcinogenisis through stimulating abnormal cell proliferation (8,11).
Steroid hormones play important physiological roles in cell differentiation, development, and homeostasis through their binding to specific receptors of the nuclear receptor superfamily (12–16). Some studies showed that human testicular orphan nuclear receptor-4 (TR4) repressed the ERβ-mediated transactivation of its downstream signal pathways in lung cancer cells and indicated that TR4 might be a potential tumor suppressor gene (17). We previously found that TR4-associated protein (TRA16) suppressed the TR4-mediated ERβ activity and its downstream signaling by interrupting binding of TR4 with TR4 response element (TR4RE) and blocking TR4 dimerization in lung cancer cells (18), suggesting that TRA16 plays a role in lung cancer development.
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 (19). TR2 was also shown to repress the ERβ-mediated transactivation of its downstream signal pathway in lung cancer cells (20). Thus, this study further investigated the role of TRA16 in NSCLC and the relationships among TRA16, TR2 and ERβ. 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 ERβ and blocking TR2 activity.
Materials and methods
Patients, tissue specimens, and cell lines
This study was approved by Institutional Review Committee of Beijing Cancer Hospital. As summarized in Table I, 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.
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% fetal bovine serum (FBS) (Gibco).
Tissue microarray and immunohistochemical (IHC) analysis
Tissue microarray was constructed as described previously using a manual tissue arrayer (Beecher Instruments) (21). Briefly, H&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.
The tissue microarrays were deparaffinized in xylene and ethanol. Antigen retrieval was done by heating the slides in an autoclave at 120°C for 3 min in citric acid buffer. The primary antibody was mouse monoclonal anti-TRA16 (22) (1:200 dilution in PBS) or rabbit monoclonal anti-ERβ (1:100 dilution in PBS, Dako). The immunostaining was carried out using the EnVision method (Dako) according to the manufacturer’s instructions. Brown staining was considered positive. Normal mouse IgG was used instead of the primary antibody as a negative control.
Stable transfection of Cos-1 cells and methyl thiazolyl tetrazolium (MTT) assay
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 μg/ml hygromycin B to generate stable clones, which were confirmed by reporter gene assay. The established stable pBig-TRA16-Cos-1 cells (5×104) per well were seeded in 12-well plates. After 12 h, the medium was changed to DMEM medium with 10% FBS for another 4 days and then treated with doxycycline (6 μg/ml) or DMSO for induction of TRA16 expression for 24 h.
For the MTT assay, 2×103 of Cos-1 cells per well were plated in 96-well plates with RPMI-1640 medium containing 10% FBS and incubated at 37°C overnight. After 1, 2, 3, or 4 days, 200 μl 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.
Transient transfection and mammalian two hybrid assays
Cos-1 cells (2.5×104) per well were plated in 12-well plates. The next day, the medium was changed to a medium containing 10% 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'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 ERβ 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 ERβ.
To further prove the interaction between TRA16 and ERβ, the Cos-1 cells were transiently co-transfected with reporter plasmid pG5-Luc and each of GAL4DBD, VP16, VP16-TRA16, and GAL4-ERβ 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 ERβ.
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 ± SD of three independent experiments.
Immunoprecipitation assay
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% Nonidet P-40, 10% 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 μg of proteins were precleared with 20 μl of protein A/G Plus-agarose and 1.0 μg 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°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% PAGE. After transferring to the membrane, the protein was detected by anti-His-tag or anti-TR2 antibodies.
Immunocytofluorescence assay
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 (18) 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.
Data analysis
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<0.05 were considered significant.
Results
TRA16 is highly expressed in non-small cell lung cancer
We previously found that TRA16 was highly expressed in lung adenocarcinoma cell line H1299 (18). 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 (Table II). The results of TRA16 tissue microarray and its expression level and distribution in different NSCLC cell types are exemplified in Fig. 1A-D. We found that all the control samples were TRA16-negative, but 120 lung cancer samples were TRA16-positive (+, ++, or +++) with the positive rate of 89.55% (120/134) (P<0.001). When categorizing the samples with the staining intensity of ++ or +++ as strong positive, there were 105 strong positive samples accounting for 78.36% (105/143) of the NSCLCs. The 105 samples included 55 adenocarcinoma (83.3%, 55/66), 43 squamous carcinoma (71.7%, 43/60). No correlation of TRA16 expression with NSCLC cell types was observed (P=0.230). The Chi-square test indicated that the TRA16 expression was correlated with TNM stage (P=0.016).
TRA16 expression is correlated with prognosis of NSCLC patients
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 (Table III). 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 (Table III). The Kaplan-Meier analysis showed that the patients with higher TRA16 expression had significantly shorter overall survival than those with lower TRA16 expression (P=0.0348) (Fig. 1E), similarly to the standard clinical prognostic factors of TNM stage, lymph node metastasis, and tumor differentiation.
Table IIIUnivariate and multivariate Cox regression analysis of clinicopathological and genetic factors for prognosis in NSCLC patients. |
TRA16 expression is correlated with ERβ expression in NSCLC tissues
Our previous studies demonstrated that TRA16 inhibited the function of TR4 in lung cancer cell line H1299 and resultantly relieved TR4-repressed ERβ activity (18). To further determine the relationship between TRA16 and ERβ in NSCLC, we analyzed the expressions of TRA16 and ERβ in 71 NSCLC tissues and 2 benign samples using the tissue microarrays. We found that among the 71 NSCLC tumors, 35 cases were ERβ-positive with 22 cases (+), 9 cases (++), and 4 cases (+++), while 36 cases and two benign controls were ERβ-negative. When using the TRA16 expression to stratify the 71 cases into no or low (+) level group (n=15) and high level (++ − +++) group (n=56) and then analyzing the difference of the ERβ expression between the two groups, we found that the ERβ 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 ERβ-positive (P<0.001) (Table II), suggesting their functional association.
TRA16 enhances cell proliferation in Cos-1 cells
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.
Interaction of TRA16 and ERβ enhances ERβ activity
To further explore the functional association between TRA16 and ERβ, we performed several reporter gene assays by transient transfection of different combinations of plasmids into Cos-1 cells (Fig. 2). We found that when transiently co-transfecting ERβ response element (ERE)-Luc reporter and ERβ with or without TRA16 into Cos-1 cells, after adding 10 nM of estradiol (E2) to stimulate ERβ activity, TRA16 significantly enhanced the ERβ activity in Cos-1 cells compared with the ERβ alone (Fig. 2A). Further, in the mammalian two-hybrid assay by transfecting the reporter plasmid pG5-Luc and each of GAL4DBD, VP16, VP16-TRA16, and GAL4-ERβ in various combinations as indicated into Cos-1 cells, we found that after the stimulation of E2, the co-presence of TRA16 and ERβ significantly enhanced the ERβ activity in Cos-1 cells (Fig. 2B), indicating that TRA16 interacted with ERβ.
To clarify the specificity of the association of TRA16 and ERβ, similar but negative control experiments were performed by co-transfecting TRA16 and PPAR or androgen receptor (AR) in Cos-1 cells. As shown in Fig. 2C and D, TRA16 had little effect on activation of both PPAR and AR.
TRA16 interacts with TR2 enhancing ERβ activity
We previously demonstrated that TRA16 bound to TR4 and blocked TR4 dimerization and thus inhibited TR4 activity in lung cancer cells (18). TR2 and TR4 are highly homologous and TR2 can suppress ERβ-mediated cell growth in lung cancer cells in vitro(19,20). 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 (Fig. 3A). Similarly, the doxycycline-inducible assay using the pBig-Cos-1 and pBig-TRA16-Cos-1 cell system showed that after treatment of 6 μg/ml doxycycline, TR2 activity was significantly lower in pBig-TRA16-Cos-1 cells than that in pBig-Cos-1 cells (Fig. 3B). 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 (Fig. 3C), suggesting the association of TRA16 and TR2.
Furthermore, the immunoprecipitation assay showed that TRA16 directly interacted with TR2 (Fig. 3D), and TRA16 and TR2 were co-localized in the nuclear membrane by immunocytofluorescence assay (Fig. 3E). Taken together, the findings suggest that TRA16 interact with TR2 to release TR2-inhbitory role in ERβ activity in addition to its direct stimulation of ERβ signaling.
Discussion
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 ERβ signaling pathway by direct stimulation of ERβ activity and through suppressing TR2-inhibitory effect on ERβ for cancer cell growth, suggesting TRA16 is a promising diagnostic and prognostic biomarker and potential target in NSCLC.
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 (23–25). For stage I NSCLC patients, the five-year survival rate exceeds 60%, 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% five-year survival rate (26). 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% of NSCLCs, in which over 71% 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.
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.
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 (27,28), which was supported by recent clinical findings of abnormal expression of ERβ (2–6) and increased intratumoral estrodial concentration in NSCLC tissues (8). 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 (8). Second, the mutation of hormone receptors may increase the ligand binding affinity or be activated by other ligands (29,30). Third, the abnormality of hormone receptor co-factors can active the downstream signaling transduction pathway, and then promote oncogenesis (31).
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 ERβ in NSCLC and their interaction suggest that TRA16 may serve as an upstream positive regulator of ERβ in NSCLC. Moreover, we have observed the interaction between TRA16 and TR2. Therefore, possible interactions among TRA16, TR2, TR4, and ERβ could be proposed. TR2 and TR4 inhibit ERβ signaling pathways. In addition to its direct stimulation of ERβ, TRA16 also directly interacts with TR2 and TR4 that results in the release of ERβ 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.
Therefore, there are still many questions to be answered, such as what are the upstream regulators of TRA16 and its interaction sites with ERβ 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.
Acknowledgements
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.
Abbreviations:
ERβ |
estrogen receptor β |
TR2 |
testicular orphan nuclear receptor 2 |
TRA16 |
TR4-associated protein 16 |
NSCLC |
non-small cell lung cancer |
OS |
overall survival |
E2 |
estradiol |
NRs |
nuclear receptors |
LI |
labeling index |
TR4RE |
TR4 response element |
FBS |
fetal bovine serum |
MTT |
methyl thiazolyl tetrazolium |
References
Siegel R, Ward E, Brawley O and Jemal A: Global Cancer Statistics, 2011 The impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin. 61:212–236. 2011. View Article : Google Scholar : PubMed/NCBI | |
Kawai H, Ishii A, Washiya K, Konno T, Kon H, Yamaya C, Ono I, Minamiya Y and Ogawa J: Estrogen receptor α and β are prognostic factors in non-small cell lung cancer. Clin Cancer Res. 11:5084–5089. 2005. | |
Schwartz AG, Prysak GM, Murphy V, Lonardo F, Pass H, Schwartz J and Brooks S: Nuclear estrogen receptor β in lung cancer: expression and survival differences by sex. Clin Cancer Res. 11:7280–7287. 2005. | |
Siegfried JM, Hershberger PA and Stabile LP: Estrogen receptor signaling in lung cancer. Semin Oncol. 36:524–534. 2005. View Article : Google Scholar | |
Mollerup S, Jørgensen K, Berge G and Haugen A: Expression of estrogen receptors α and β in human lung tissue and cell lines. Lung Cancer. 37:153–159. 2002. | |
Omoto Y, Kobayashi Y, Nishida K, Tsuchiya E, Eguchi H, Nakagawa K, Ishikawa Y, Yamori T, Iwase H, Fujii Y, Warner M, Gustafsson JA and Hayashi S: Expression, function, and clinical implications of the estrogen receptor β in human lung cancers. Biochem Biophys Res Commun. 285:340–347. 2001. | |
Patrone C, Cassel T, Pettersscon K, Piao Y, Piao Y, Cheng G, Ciana P, Maggi A, Warner M, Gustafsson J and Nord M: Regulation of postnatal lung development and homeostasis by estrogen receptor β. Mol Cell Biol. 23:8542–8552. 2003. | |
Niikawa H, Suzuki T, Miki Y, Suzuki S, Nagasaki S, Akahira J, Honma S, Evans DB, Hayashi S, Kondo T and Sasano H: Intratumoral estrogens and estrogen receptors in human non small cell lung carcinoma. Clin Cancer Res. 14:4417–4426. 2008. View Article : Google Scholar : PubMed/NCBI | |
Mah V, Seligson D, Li A, Marquez D, Wistuba I, Elshimali Y, Fishbein M, Chia D, Pietras R and Goodglick L: Aromatase expression predicts survival in women with early-stage non-small cell lung cancer. Cancer Res. 21:10484–10490. 2007. View Article : Google Scholar : PubMed/NCBI | |
Weinberg O, Marquez-Garban D, Fishbein M, Goodglick L, Garban H, Dubinett S and Pietras R: Aromatase inhibitors in human lung cancer therapy. Cancer Res. 24:11287–11291. 2005. View Article : Google Scholar : PubMed/NCBI | |
Stabile L, Gaither Davis A, Gubish C, Hopkins T, Luketich J, Christie N, Finkelstein S and Siegfried J: Human non-small cell lung tumors and cells derived from normal lung express both estrogen receptor α and β and show biological responses to estrogen. Cancer Res. 62:2141–2150. 2002. | |
Chang C, Kokontis J and Liao ST: Molecular cloning of human and rat complementary DNA encoding androgen receptors. Science. 240:324–326. 1988. View Article : Google Scholar : PubMed/NCBI | |
Evans RM: The steroid and thyroid hormone receptor superfamily. Science. 240:889–895. 1988. View Article : Google Scholar : PubMed/NCBI | |
Beato M: Gene regulation by steroid hormones. Cell. 56:335–344. 1989. View Article : Google Scholar : PubMed/NCBI | |
Wang LH, Tsai SY, Cook RG, Beattie WG, Tsai MJ and O'Malley BW: Coup transcription factor is a member of the steroid receptor superfamily. Nature. 340:163–166. 1989. View Article : Google Scholar : PubMed/NCBI | |
Tsai MJ and O'Malley BW: Molecular mechanisms of action of steroid/thyroid receptor superfamily members. Annu Rev Biochem. 63:451–486. 1994. View Article : Google Scholar : PubMed/NCBI | |
Shyr CR, Hu YC, Kim E and Chang C: Modulation of estrogen receptor-mediated transactivation by orphan receptor TR4 in MCF-7 cells. J Biol Chem. 277:14622–14628. 2002. View Article : Google Scholar : PubMed/NCBI | |
Yang Y, Wang X, Dong T, Kim E, Lin WJ and Chang C: Identification of a novel testicular orphan receptor-4(TR4)-associated protein as repressor for the selective suppression of TR4-mediated transactivation. J Biol Chem. 278:7709–7717. 2003. View Article : Google Scholar : PubMed/NCBI | |
Shyr CR, Kang HY, Tsai MY, Liu NC, Ku PY, Huang KE and Chang C: Roles of testicular orphan nuclear receptors 2 and 4 in early embryonic development and embryonic stem cells. Endocrinology. 150:2454–2462. 2009. View Article : Google Scholar : PubMed/NCBI | |
Hu YC, Shyr CR, Che W, Mux M, Kim E and Chang C: Suppression of estrogen receptor-mediated transcription and cell growth by interaction with TR2 orphan receptor. J Biol Chem. 277:33571–33579. 2002. View Article : Google Scholar : PubMed/NCBI | |
Kononen J, Bubendorf L, Kallionimeni A, Barlund M, Schraml P, Leighton S, Torhorst J, Mihatsch MJ, Sauter G and Kallioniemi OP: Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat Med. 4:844–847. 1998. View Article : Google Scholar : PubMed/NCBI | |
Zheng QF, Dong B, Sun Y, Du H, Xiong HC, Wu N, Chen JF, Sun L, Ao J, Li JY, Ji JF and Yang Y: Expression of TR4-associated protein in non-small cell lung cancer. Beijing Daxuexue Bao. 39:472–475. 2007.(in Chinese). | |
Schneider J, Velcovsky HG, Morr H, Katz N, Neu K and Eigenbrodt E: Comparison of the tumor markers tumor M2-PK, CEA, CYFRA 21-1, NSE and SCC in the diagnosis of lung cancer. Anticancer Res. 20:5053–5058. 2000.PubMed/NCBI | |
Salgia R, Harpole D, Herndon JE II, Pisick E, Elias A and Skarin AT: Role of serum tumor markers CA 125 and CEA in non-small cell lung cancer. Anticancer Res. 21:1241–1246. 2001.PubMed/NCBI | |
Iggo R, Gatter K, Bartek J, Lane D and Harris AL: Increased expression of mutant forms of p53 oncogene in primary lung cancer. Lancet. 335:675–679. 1990. View Article : Google Scholar : PubMed/NCBI | |
Mulshine JL and Sullivan DC: Clinical practice. Lung cancer screening. N Engl J Med. 352:2714–2720. 2005. View Article : Google Scholar : PubMed/NCBI | |
Ishibashi H, Suzuki T, Suzuki S, Niikawa H, Lu L, Miki Y, Moriya T, Hayashi S, Handa M, Kondo T and Sasano H: Progesterone receptor in non-small cell lung cancer - A potent prognostic factor and possible target for endocrine therapy. Cancer Res. 65:6450–6458. 2005. View Article : Google Scholar : PubMed/NCBI | |
Beattie CW, Hansen NW and Thomas PA: Steroid receptors in human lung cancer. Cancer Res. 45:4206–4214. 1985.PubMed/NCBI | |
Stabie L and Siegfried J: Estrogen receptor pathways in lung cancer. Curr Oncol Rep. 6:259–267. 2004. View Article : Google Scholar | |
Villa E, Colantoni A, Grottola A, Ferretti I, Buttafoco P, Bertani H, De Maria ND and Manenti F: Variant estrogen receptors and their role in liver disease. Mol Cell Endocrinol. 193:65–69. 2002. View Article : Google Scholar : PubMed/NCBI | |
Hershberger P, Vasquez A, Kanterewicz B, Land S, Siegfried J and Nichols M: Regulation of endogenous gene expression in human non-small cell lung cancer cells by estrogen receptor ligands. Cancer Res. 65:1598–1605. 2005. View Article : Google Scholar : PubMed/NCBI |