Silencing of cyclooxygenase‑2 inhibits the growth, invasion and migration of ovarian cancer cells
- Authors:
- Published online on: April 9, 2014 https://doi.org/10.3892/mmr.2014.2131
- Pages: 2499-2504
Abstract
Introduction
Ovarian cancer is one of the most common types of fatal tumors of the female reproductive tract and also a major cause of mortality resulting from gynecological malignancies (1). Epithelial ovarian cancer is the predominant form among ovarian cancers and accounts for 90% of incidences; the majority of mortalities are due to this malignancy (2). There is a lack of effective screening and early detection strategies; therefore, the majority of females are diagnosed with advanced-stage metastatic cancer for which surgical and pharmaceutical treatment options are significantly less effective (3,4). Standard treatment options include debulking followed by chemotherapy with platinum agents. Although there is a good response to primary surgery and chemotherapy treatments, the recurrence rates are high (>60%) and salvage therapies available are not curative (5–8). Therefore, it is important to understand the molecular mechanisms underlying this disease in order to develop novel treatment strategies to improve the clinical outcomes for these patients.
Cyclooxygenase-2 (COX-2) is inducible by inflammatory stimuli, including cytokines, growth factors and tumor promoters, and is upregulated in a variety of malignancies. COX-2 upregulation favors the growth of malignant cells by stimulating proliferation and angiogenesis (9,10). A large number of previous studies demonstrated that COX-2 is overexpressed in ovarian cancer (11–13). Furthermore, Arico et al (14) found that COX-2 can induce angiogenesis via vascular endothelial growth factor (VEGF) and prostaglandin production and can also inhibit apoptosis by inducing the anti-apoptotic factor B-cell lymphoma 2 as well as activating anti-apoptotic signaling through Akt/protein kinase B (one of the serine/threonine kinases). These results suggest that COX-2 has a significant role in the generation and progression of solid tumors and the inhibition of COX-2 may inhibit the growth of a variety of solid malignancies. Therefore, downregulation of COX-2 in cancer cells may prove useful in improving clinical outcomes in cancer patients.
RNA interference (RNAi) is a powerful method for gene inactivation (15–17) and cancer gene therapy (18). The basic mechanism of RNAi starts with a long double-stranded RNA that is processed into small interfering RNAs (siRNAs) of ~21 nt (19,20). The advantage of RNAi technology is that it can be used to target a large number of different genes, which are involved in a number of distinct cellular pathways. The technology of RNA silencing is poised to have a major impact on the treatment of human disease, particularly cancer (19).
The aim of the present study was to investigate the role of COX-2 in the growth of human ovarian cancer cells. The effect of RNAi-induced COX-2 suppression on the proliferation, invasion and migration of ovarian cancer cells was also evaluated.
Materials and methods
Cell culture
SKOV3 cells were obtained from the American Type Culture Collection (Manassas, VA, USA) and cultured in Modified McCoy’s 5A Medium (Sigma, St. Louis, MO, USA) supplemented with 10% fetal bovine serum (FBS) (Gibco-BRL, Carlsbad, CA, USA). The cells were maintained in a humidified 37°C incubator with 5% CO2.
siRNA design and conduct
In total, three different siRNAs were designed against COX-2 mRNA as suggested by the method used in a study by Elbashir et al (21). The targeting sequences corresponding to the siRNAs against COX-2 (GeneBank accession no. NM_000963.2) were as follows: Bases 290–310 (siRNA-1, 5′-AAACTGCTCAACACCGGAATT-3′), bases 456–477 (siRNA-2, 5′-TCACATTTGATTGACAGTCCA-3′) and 517–538 (siRNA-3, 5′-CCTTCTCTAACCTCTCCTATT-3′). The interference vector pGenesil-COX-2 was constructed using the pGenesil-1 vector. In brief, three pairs of oligonucleotide fragments were designed, synthesized and annealed. pGenesil-1, which consisted of human U6 short hairpin RNA (shRNA) promoter, was used to generate a series of siRNA expression vectors by inserting three pairs of annealed oligonucleotides. The recombinant plasmid vectors pGenesil-1-COX-2(1), pGenesil-1-COX-2(2) and pGenesil-1-COX-2(3) were repeatedly excised and ligated successively. Thus, the tandem recombinant vector pGenesil-1-COX-2(1+2+3) was constructed and called pGenesil-1-COX-2. All the sequences inserted were verified by DNA sequencing. Plasmid pGenesil-1-KB was used to serve as a control for the empty vector. All the siRNA sequences were checked in terms of their specificity using the Basic Local Alignment Search Tool (National Library of Medicine, Bethesda, MD, USA) database and did not exhibit any homology to other human genes.
The SKOV3 cells were randomly divided into three groups: Untransfected control group, empty vector transfected vector group that served as a blank control, and the pGenesil-1-COX-2 siRNA expression plasmid transfected siRNA group. In total, 5×105 cells were seeded in six-well plates and grown overnight prior to transfection. All the plasmids were transiently transfected into SKOV3 cells by Lipofectamine™ 2000 (Invitrogen Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s instructions and incubated in serum-starved media at 37°C in 5% CO2. At 8 h post-transfection, the medium was replaced with fresh complete medium containing 10% FBS. The cells were harvested 48 h after transfection and used for the evaluation of COX-2 expression. The transfection efficiency was monitored by measuring the percentage of fluorescent cells among a total of 1,000 cells using fluorescence microscopy.
RNA isolation and quantitative polymerase chain reaction (qPCR)
To evaluate COX-2 mRNA expression, the cells were harvested following transfection. The total RNA was extracted from the cells using TRIzol reagent (Invitrogen Life Technologies) for reverse transcription. The RNA was transcribed to cDNA using the Superscript First-Strand Synthesis kit (Takara, Dalian, China) following the manufacturer’s instructions. qPCR assays were performed using SYBR-Green Real-Time PCR Master Mix (Toyobo, Osaka, Japan) and RT-PCR amplification equipment (7300 Real-Time PCR System; Applied Biosystems, Foster City, CA, USA) using specific primers: COX-2 sense, 5′-CCCTTGGGTGTCAAAGGTAAA-3′ and antisense, 5′-AAACTGATGCGTGAAGTGCTG-3′; and β-actin sense, 5′-GCGAGCACAGAGCCTCGCCTTTG-3′ and antisense, 5′-GATGCCGTGCTCGATGGGGTAC-3′. The PCR conditions were as follows: Pre-denaturation at 95°C for 2 min, followed by 40 cycles of denaturation at 95°C for 10 sec and annealing/extension at 58°C for 20 sec. The amplification specificity was checked by melting curve analysis. The expression of the genes of interest was determined by normalization of the threshold cycle (Ct) of these genes to that of the β-actin control.
Western blot analysis
The cells were harvested and lysed in Triton X-100 in Hepes buffer [150 mM NaCl, 50 mM Hepes, 1.5 mM MgCl2, 1% Triton X-100, 0.1% sodium dodecyl sulfate (SDS) and a protease inhibitor cocktail (Sigma)]. Western blot analysis was performed using conventional protocols. Briefly, the protein concentration of the extracts was determined using a bicinchoninic acid kit (Sigma) with bovine serum albumin used as the standard. The total protein samples (40 μg) were separated by 8% SDS-PAGE, proteins were transferred to nitrocellulose membranes (Millipore, Bedford, MA, USA), immunoblotted with specific primary antibodies and incubated with corresponding horseradish peroxidase (HRP)-conjugated secondary antibody. The other primary antibodies used in the western blots were as follows: Antibodies against COX-2, β-actin, VEGF (Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA); MMP-9 and MMP-2 (Sigma Aldrich, St. Louis, MO, USA); secondary antibodies used for immunodetection were as follows: HRP-conjugated goat anti-mouse immunoglobulin (Ig) G and goat anti-rabbit IgG (Amersham Biosciences, Uppsala, Sweden). All the immunoblots were visualized by enhanced chemiluminescence (Pierce Biotechnology, Inc., Rockford, IL, USA). All the assays using COX-2 knockdown SKVO3 cells were performed after the third day of siRNA transfection.
Cell viability assay
At 24, 48 and 72 h post-transfection with COX-2 siRNAs, the cells were seeded in quadruplicate into 96-well plates (5,000 cells/well in 100 ml of medium). At the indicated times, the cells were incubated with 1 mg/ml MTT in normal culture medium for 6 h at 37°C. The medium was then aspirated and the formazan was dissolved in 200 ml dimethyl sulfoxide. The absorbance was measured at 570 nm by a STAKMAX™ microplate reader (Molecular Devices, Sunnyvale, CA, USA) and the experiments were repeated five times.
Cell cycle analysis
The SKVO3 cells were treated with siRNA for 24 h in Dulbecco’s modified Eagle’s medium (DMEM) containing 5% FBS. All the cells were collected, and 1×106 cells were centrifuged, resuspended in ice-cold 70% ethanol and stored at −20°C until further analysis. Washed cells were stained by 0.1% Triton X-100 in 0.01 M phosphate-buffered saline (pH 7.2) with 50 μg/ml propidium iodide (Sigma-Aldrich) and 1 mg/ml RNase A (Invitrogen), and incubated at 37°C for 30 min in the dark. Samples of the cells were then analyzed for their DNA content using FACScan flow cytometry (Beckman, Miami, FL, USA), and cell cycle phase distributions were analyzed by the Cell Quest acquisition software (BD Biosciences, Franklin Lanes, NJ, USA). All experiments were performed in duplicate and repeated twice.
Cell migration assay
The migration assay was performed using a 12-well Boyden Chamber (Neuro Probe, Inc., Gaithersburg, MD, USA) with an 8 μm pore size. In total, ~1×105 cells were seeded into upper wells of the Boyden Chamber and incubated for 6 h at 37°C in medium containing 1% FBS. DMEM with 10% FBS was used as a chemoattractant in the bottom wells. The cells that did not migrate through the pores of the Boyden Chamber were manually removed with a rubber swab. The cells that migrated to the lower side of the membrane were stained with hematoxylin and eosin and photographed using an inverted microscope.
Transwell invasion assay
The invasiveness of SKVO3 cancer cells was assessed using 24-well Transwell plates (Corning, Lowell, MA, USA). In brief, 2×105 cells in DMEM with 0.5% FBS were added to the upper chamber containing a 8-mm pore polycarbonate coated with 1 mg/ml Matrigel; the lower chamber was filled with media containing 5% FBS. Subsequent to 16 h incubation, the upper surface of the membrane was scrubbed with a cotton-tipped swab. The invading cells on the lower surface of the membrane were fixed and stained with 0.5% crystal violet dye. A total of five random fields per membrane were photographed at magnification, ×40 for calculating the cell number using an inverted phase-contrast microscope (Leica, Solms, Germany). In addition, cells were quantified by measuring the absorbance of dye extracts at 570 nm in 100 ml of Sorenson’s solution (9 mg trisodium citrate, 305 ml distilled water, 195 ml 0.1 N HCl and 500 ml 90% ethanol). All experiments were performed in triplicate and repeated four times.
Determination of prostaglandin E2 (PGE2) synthesis by ELISA
PGE2 synthesis was determined according to methods that were previously described (22). In brief, the SKVO3 cells were grown in 12-well plates overnight. The culture media of the cells were changed to new DMEM for 30 min prior to harvesting of culture media and then these culture media were centrifuged to remove cell debris. Cell-free culture media were collected at indicated time periods, then PGE2 levels were determined using a Human PGE2 ELISA kit according to the manufacturer’s instructions (Cayman Chemical, Ann Arbor, MI, USA) and an ELISA reader (μQuant; Biotek Instruments, Inc., Winooski, VT, USA).
Statistical analysis
The values were expressed as the mean ± standard deviation. The data were analyzed by one-way analysis of variance and P<0.05 was considered to be statistically significant.
Results
Downregulation of COX-2 mRNA and protein expression levels by COX-2-siRNA
A recombinant vector was designed and constructed, which expresses three siRNAs targeting the COX-2 gene in tandem, and transfected it into SKOV3 cells. Subsequent to 72 h transfection, the cells were harvested and the COX-2 mRNA levels were analyzed by qPCR. COX-2 expression was significantly downregulated in SKOV3 cells transfected with siRNA compared with the cells transfected with the control vector and untransfected cells (P<0.01). There was no significant difference between the untransfected and empty vector groups (P>0.05) (Fig. 1A). The results indicated that most of the COX-2 mRNA was degraded by COX-2 siRNA in the SKOV3 cells.
The effect of COX-2 siRNA treatment on protein expression was assessed by western blot analysis. As shown in Fig. 1B, there was no difference between the untransfected and empty vector group (P>0.05), while the band density clearly decreased in the COX-2 siRNA group as compared with the untransfected and empty vector group. These results demonstrated that siRNA targeting COX-2 significantly silenced COX-2 protein expression in SKOV3 ovarian cancer cells (P<0.01).
COX-2 silencing affects SKVO3 cell proliferation and the cell cycle
To elucidate the effects of the siRNA on SKOV3 ovarian cancer cell proliferation, the MTT assay was used and cell proliferation was determined by counting the number of viable cells. SKOV3 ovarian cancer cells transfected with COX-2-siRNA proliferated at a much lower rate compared with the control cells at 24, 48 and 72 h post-transfection. Compared with the untransfected cells, the proliferation properties of SKOV3 cells were significantly inhibited (Fig. 2A). These data demonstrate that the inhibition of COX-2 by RNAi can inhibit the proliferation of SKOV3 cells.
In addition, to determine the effects of SKVO3 cell cycle progression following COX-2 silencing, flow cytometry was performed in the present study. In the siRNA therapy group, the percentage of cells in G0/G1 phase was significantly increased as compared with the scrambled-treated and control cells. These results indicated that COX-2 silencing can induce cell cycle arrest in G0/G1 phase in SKVO3 cells (Fig. 2B).
COX-2 silencing inhibits SKVO3 cell invasion and cell migration
To analyze whether siRNA affects SKVO3 cell migration, migration assays were performed using Boyden chambers. RNAi-mediated COX-2 silencing significantly inhibited SKVO3 cell migration as compared with the control (untransfected) and negative control-transfected (Vector) groups (Fig. 3A). On the other hand, COX-2 knockdown in SKVO3 cells markedly inhibited invasion in vitro as compared with the vector-treated and control groups (Fig. 3B). The control cells and vector cells remained invasive and no statistically significant differences were observed.
Silencing of COX-2 decreases levels of PGE2 and other proteins in SKVO3 cells
PGE2 levels in SKVO3 cells were determined by ELISA analysis. As shown in Fig. 4A, the PGE2 levels in the siRNA therapy groups were significantly lower compared with those in the untransfected and empty vector groups. In addition, VEGF protein expression levels were determined following COX-2 silencing. It was found that COX-2 silencing was found to significantly inhibit VEGF expression in the SKVO3 tumor cells compared with the control and empty vector cells (Fig. 4B).
In order to investigate the mechanisms involved in the inhibition of the invasion and migration ability by downregulation of COX-2 silencing of SKVO3 cells, western blot analysis was performed to evaluate the activity of MMP-2 and MMP-9. COX-2 silencing caused a significant decrease in MMP-9 and MMP-2 levels compared with the control cells as determined by western blot analysis (Fig. 4B).
Discussion
RNAi is a fundamental cellular mechanism used for silencing gene expression (16,23–25). RNAi has been widely used in cancer therapy to silence the expression of oncogenes and growth factors or their receptors, which may result in inhibition of the cell cycle, cell proliferation and tumor angiogenesis as well as induction of cell apoptosis (26–28). To date, RNAi has been regarded as an effective and useful approach for therapeutic applications of cancer (26,39). In the present study, RNAi strategies were used to reduce the expression of COX-2 in the ovarian cancer cell line SKOV3 and to evaluate the role of COX-2 in SKOV3 cells. A total of three siRNA sequences were designed to target the COX-2 coding region and inserted into the pGenesil-1 vector in tandem to efficiently suppress the expression of COX-2. The present study demonstrated that this vector was efficiently silenced COX-2. Downregulation of COX-2 reduced proliferation, cell cycle, cell migration and invasion in SKOV3 cells. The results were consistent with those of previous studies revealing that the number of viable cells was significantly decreased following transfection with COX-2 siRNA (28,30,31).
COX-2 is known to be involved in multiple pathophysiological processes, including inflammation and tumorigenesis (32,33). COX-2 is undetectable in numerous normal tissues, yet it is commonly overexpressed in various human cancers, including ovarian cancer (14), with its downstream product being PGE2, which is linked to more aggressive behavior of tumors and thus contributing to ovarian cancer progression (34,35). PGE2 is a significant mediator in tumor-promoting inflammation (36). Additionally, PGE2 promotes tumor cell proliferation, induces VEGF upregulation and inhibits tumor cell apoptosis as well as immune function (37). The present study revealed that downregulation of the COX-2 gene by silencing decreased the levels of PGE2 and VEGF (Fig. 4B) and inhibit tumor cell proliferation and the cell cycle. These results implied that the major mechanism of COX-2 in stimulating tumorigenesis is via its product PGE2.
The poor prognosis of ovarian cancer is mainly due to dissemination caused by the aggressive migration activity of the cancer cells (38). In the present study, siRNA-mediated downregulation of COX-2 expression in human ovarian cancer cells lead to a significant decrease in SKOV3 cell invasion and migration. These results were consistent with previous studies (28,30,31), demonstrating that COX-2 mediates the invasive and metastatic potential of ovarian cancer cells.
In conclusion, the vector expressing three siRNAs targeting the COX-2 gene in tandem was able to silence the expression of COX-2 in ovarian cancer cells. The COX-2 knockdown not only resulted in a decrease of cell proliferation and inhibition of the cell cycle in ovarian tumor cells, but it also suppressed cell migration and invasion of ovarian cancer cells. These results indicated that COX-2 is a potential therapeutic target for the prevention or treatment of ovarian cancer.
Acknowledgements
This study was supported by the National Natural Science Foundation of Jilin (no. 83657432).
References
Lin Y, Peng S, Yu H, Teng H and Cui M: RNAi-mediated downregulation of NOB1 suppresses the growth and colony-formation ability of human ovarian cancer cells. Med Oncol. 29:311–317. 2012. View Article : Google Scholar : PubMed/NCBI | |
Auersperg N, Wong AS, Choi KC, Kang SK and Leung PC: Ovarian surface epithelium: biology, endocrinology, and pathology. Endocr Rev. 22:255–258. 2001.PubMed/NCBI | |
Ziebarth AJ, Landen CN Jr and Alvarez RD: Molecular/genetic therapies in ovarian cancer: future opportunities and challenges. Clin Obstet Gynecol. 55:156–172. 2012. View Article : Google Scholar : PubMed/NCBI | |
Wang H, Linghu H, Wang J, Che YL, Xiang TX, Tang WX and Yao ZW: The role of Crk/Dock180/Rac1 pathway in the malignant behavior of human ovarian cancer cell SKOV3. Tumour Biol. 31:59–67. 2010. View Article : Google Scholar : PubMed/NCBI | |
Fader AN and Rose PG: Role of surgery in ovarian carcinoma. J Clin Oncol. 25:2873–2883. 2007. View Article : Google Scholar : PubMed/NCBI | |
Salzberg M, Thurlimann B, Bonnefois H, Fink D, Rochlitz C, Von Moos R and Senn H: Current concepts of treatment strategies in advanced or recurrent ovarian cancer. Oncology. 68:293–298. 2005. View Article : Google Scholar : PubMed/NCBI | |
McGuire WP and Ozols RF: Chemotherapy of advanced ovarian cancer. Semin Oncol. 25:340–348. 1998.PubMed/NCBI | |
Fung-Kee-Fung M, Oliver T, Elit L, Oza A, Hirte HW and Bryson P: Optimal chemotherapy treatment for women with recurrent ovarian cancer. Curr Oncol. 14:195–208. 2007. View Article : Google Scholar : PubMed/NCBI | |
Dempke W, Rie C, Grothey A and Schmoll HJ: Cyclooxygenase-2: a novel target for cancer chemotherapy? J Cancer Res Clin Oncol. 127:411–417. 2001. View Article : Google Scholar : PubMed/NCBI | |
Williams CS, Mann M and DuBois RN: The role of cyclooxygenases in inflammation, cancer, and development. Oncogene. 18:7908–7916. 1999. View Article : Google Scholar : PubMed/NCBI | |
Li S, Miner K, Fannin R, Carl Barrett J and Davis BJ: Cyclooxygenase-1 and 2 in normal and malignant human ovarian epithelium. Gynecol Oncol. 92:622–627. 2004. View Article : Google Scholar | |
Denkert C, Köbel M, Pest S, Koch I, Berger S, Schwabe M, Siegert A, Reles A, Klosterhalfen B and Hauptmann S: Expression of cyclooxygenase-2 is an independent prognostic factor in human ovarian carcinoma. Am J Pathol. 160:893–903. 2002. View Article : Google Scholar : PubMed/NCBI | |
Erkinheimo TL, Lassus H, Finne P, van Rees BP, Leminen A, Ylikorkala O, Haglund C, Butzow R and Ristimäki A: Elevated cyclooxygenase-2 expression is associated with altered expression of p53 and SMAD4, amplification of HER-2/neu, and poor outcome in serous ovarian carcinoma. Clin Cancer Res. 10:538–545. 2004. View Article : Google Scholar : PubMed/NCBI | |
Arico S, Pattingre S, Bauvy C, Gane P, Barbat A, Codogno P and Ogier-Denis E: Celecoxib induces apoptosis by inhibiting 3-phosphoinositide-dependent protein kinase-1 activity in the human colon cancer HT-29 cell line. J Biol Chem. 277:27613–27621. 2002. View Article : Google Scholar : PubMed/NCBI | |
Cerutti H: RNA interference: traveling in the cell and gaining functions? Trends Genet. 19:39–46. 2003. View Article : Google Scholar : PubMed/NCBI | |
Fire A, Xu S, Montgomery MK, Kostas SA, Driver SE and Mello CC: Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans. Nature. 391:806–811. 1998. View Article : Google Scholar : PubMed/NCBI | |
Hannon GL and Rossi JJ: Unlocking the potential of the human genome with RNA interference. Nature. 431:371–378. 2004. View Article : Google Scholar : PubMed/NCBI | |
Izquierdo M: Short interfering RNAs as a tool for cancer gene therapy. Cancer Gene Ther. 12:217–227. 2005. View Article : Google Scholar : PubMed/NCBI | |
Elbashir SM, Harborth J, Lendeckel W, Yalcin A, Weber K and Tuschl T: Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells. Nature. 411:494–498. 2001. View Article : Google Scholar : PubMed/NCBI | |
Caplen NJ: Gene therapy progress and prospects. Downregulating gene expression: the impact of RNA interference. Gene Ther. 11:1241–1248. 2004. View Article : Google Scholar : PubMed/NCBI | |
Elbashir SM, Harborth J, Weber K and Tuschl T: Analysis of gene function in somatic mammalian cells using small interfering RNAs. Methods. 26:199–213. 2002. View Article : Google Scholar : PubMed/NCBI | |
Tai MH, Weng CH, Mon DP, Hu CY and Wu MH: Ultraviolet C irradiation induces different expression of cyclooxygenase 2 in NIH 3T3 cells and A431 cells: the roles of COX-2 are different in various cell lines. Int J Mol Sci. 13:4351–4366. 2012. View Article : Google Scholar : PubMed/NCBI | |
Kim DH, Longo M, Han Y, Lundberg P, Cantin E and Rossi JJ: Interferon induction by siRNAs and ssRNAs synthesized by phage polymerase. Nat Biotechnol. 22:321–325. 2004. View Article : Google Scholar : PubMed/NCBI | |
Meister G and Tuschi T: Mechanisms of gene silencing by double-stranded RNA. Nature. 431:343–349. 2004. View Article : Google Scholar : PubMed/NCBI | |
Mello CC and Conte D Jr: Revealing the world of RNA interference. Nature. 431:338–342. 2004. View Article : Google Scholar : PubMed/NCBI | |
Wang R, Wang X, Lin F, Gao P, Dong K and Zhang HZ: shRNA-targeted cyclooxygenase (COX)-2 inhibits proliferation, reduces invasion and enhances chemosensitivity in laryngeal carcinoma cells. Mol Cell Biochem. 317:179–188. 2008. View Article : Google Scholar | |
Chen Q, Pan Q, Cai R and Qian C: Prospects of RNA interference induced by RNA Pol II promoter in cancer therapy. Prog Biochem Biophys. 34:806–815. 2007. | |
Strillacci A, Griffoni C, Spisni E, Manara MC and Tomasi V: RNA interference as a key to knockdown overexpressed cyclooxygenase-2 gene in tumour cells. Br J Cancer. 94:1300–1310. 2006. View Article : Google Scholar : PubMed/NCBI | |
Vogler M, Walczak H, Stadel D, Haas TL, Genze F, Jovanovic M, Gschwend JE, Simmet T, Debatin KM and Fulda S: Targeting XIAP bypasses Bcl-2-mediated resistance to TRAIL and cooperates with TRAIL to suppress pancreatic cancer growth in vitro and in vivo. Cancer Res. 68:7956–7965. 2008. View Article : Google Scholar : PubMed/NCBI | |
Zhang L, Wu YD, Li P, Tu J, Niu YL, Xu CM and Zhang ST: Effects of cyclooxygenase-2 on human esophageal squamous cell carcinoma. World J Gastroenterol. 17:4572–4580. 2011. View Article : Google Scholar : PubMed/NCBI | |
Denkert C, Fürstenberg A, Daniel PT, Koch I, Köbel M, Weichert W, Siegert A and Hauptmann S: Induction of G0/G1 cell cycle arrest in ovarian carcinoma cells by the anti-inflammatory drug NS-398, but not by COX-2-specific RNA interference. Oncogene. 22:8653–8661. 2003. View Article : Google Scholar : PubMed/NCBI | |
Park W, Oh YT, Han JH and Pyo H: Antitumor enhancement of celecoxib, a selective cyclooxygenase-2 inhibitor, in a Lewis lung carcinoma expressing cyclooxygenase-2. J Exp Clin Cancer Res. 27:662008. View Article : Google Scholar : PubMed/NCBI | |
Müller-Decker K and Fürstenberger G: The cyclooxygenase-2-mediated prostaglandin signaling is causally related to epithelial carcinogenesis. Mol Carcinog. 46:705–710. 2007.PubMed/NCBI | |
Leahy KM, Ornberg RL, Wang Y, Zweifel BS, Koki AT and Masferrer JL: Cyclooxygenase-2 inhibition by celecoxib reduces proliferation and induces apoptosis in angiogenic endothelial cells in vivo. Cancer Res. 62:625–631. 2002.PubMed/NCBI | |
Mamdani M, Juurlink DN, Lee DS, Rochon PA, Koop A, Naglie G, Austin PC, Laupacis A and Stukel TA: Cyclo-oxygenase-2 inhibitors versus non-selective non-steroidal anti-inflammatory drugs and congestive heart failure outcomes in elderly patients: a population-based cohort study. Lancet. 363:1751–1756. 2004. View Article : Google Scholar : PubMed/NCBI | |
Rasmuson A, Kock A, Fuskevåg OM, Kruspig B, Simón-Santamaría J, Gogvadze V, Johnsen JI, Kogner P and Sveinbjörnsson B: Autocrine prostaglandin E2 signaling promotes tumor cell survival and proliferation in childhood neuroblastoma. PLoS One. 7:e293312012. View Article : Google Scholar : PubMed/NCBI | |
Pockaj BA, Basu GD, Pathangey LB, Gray RJ, Hernandez JL, Gendler SJ and Mukherjee P: Reduced T-cell and dendritic cell function is related to cyclooxygenase-2 overexpression and prostaglandin E2 secretion in patients with breast cancer. Ann Surg Oncol. 11:328–339. 2004. View Article : Google Scholar : PubMed/NCBI | |
Iñiguez MA, Rodríguez A, Volpert OV, Fresno M and Redondo JM: Cyclooxygenase-2: a therapeutic target in angiogenesis. Trends Mol Med. 9:73–78. 2003. |