RNA-seq analysis of A2780 and OVCAR3 human ovarian cancer cell lines after overexpression of collagen type XI alpha 1 (COL11A1)
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PROVIDER: PRJNA449678 | ENA |
REPOSITORIES: ENA
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Project description:Collagen type XI alpha 1 (COL11A1) is identified as one of the most upregulated genes in cisplatin-resistant ovarian cancer and recurrent ovarian cancer. However, the exact functions of COL11A1 in cisplatin resistance are unknown. The goal of this study is to determine molecular mechanisms by which COL11A1 confers cisplatin resistance in ovarian cancer cells. We overexpressed COL11A1 in A2780 and OVCAR3 ovarian cancer cells, which express very low endogenous levels of COL11A1. We then compared the mRNA expression levels of various genes between COL11A1-overexpressing ovarian cancer cells and control ovarian cancer cells by RNA-Seq. Our RNA-Seq data show that COL11A1 overexpression did not consistently change the expression levels of genes involved in cisplatin efflux, glutathione metabolism, and DNA repair pathways, which are known to contribute to cisplatin resistance. This result implies that COL11A1 might confer cisplatin resistance in ovarian cancer cells through other mechanisms.
2019-10-10 | GSE112985 | GEO
Project description:Collagen type XI alpha 1 (COL11A1) is a novel biomarker associated with cisplatin resistance in ovarian cancer. However, the mechanisms underlying how COL11A1 confers cisplatin resistance in ovarian cancer are poorly understood. We identified that fatty acid β-oxidation (FAO) is upregulated by COL11A1 in ovarian cancer cells and that COL11A1-driven cisplatin resistance can be abrogated by inhibition of FAO. Furthermore, our results demonstrate that COL11A1 also enhances the expression of proteins involved in fatty acid synthesis. Interestingly, COL11A1-induced upregulation of fatty acid synthesis and FAO is modulated by the same signaling molecules. We identified that binding of COL11A1 to its receptors, α1β1 integrin and discoidin domain receptor 2 (DDR2), activates Src-Akt-AMPK signaling to increase the expression of both fatty acid synthesis and oxidation enzymes, although DDR2 seems to be the predominant receptor. Inhibition of fatty acid synthesis downregulates FAO despite the presence of COL11A1, suggesting that fatty acid synthesis might be a driver of FAO in ovarian cancer cells. Taken together, our results suggest that COL11A1 upregulates fatty acid metabolism in ovarian cancer cells in a DDR2-Src-Akt-AMPK dependent manner. Therefore, we propose that blocking FAO might serve as a promising therapeutic target to treat ovarian cancer, particularly cisplatin-resistant recurrent ovarian cancers which typically express high levels of COL11A1.
2020-04-28 | PXD016244 | Pride
Project description:Biomarkers that predict disease progression might assist the development of better therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated the role of collagen type XI alpha 1 (COL11A1) in cell invasiveness and tumor formation and the prognostic impact of COL11A1 expression in ovarian cancer. Microarray analysis suggested that COL11A1 is a disease progression-associated gene that is linked to ovarian cancer recurrence and poor survival.
2014-01-01 | GSE44104 | GEO
Project description:Mutant collagen COL11A1 enhances cancerous invasion
| PRJNA743076 | ENA
Project description:Biomarkers that predict disease progression might assist the development of better therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated the role of collagen type XI alpha 1 (COL11A1) in cell invasiveness and tumor formation and the prognostic impact of COL11A1 expression in ovarian cancer. Microarray analysis suggested that COL11A1 is a disease progression-associated gene that is linked to ovarian cancer recurrence and poor survival. Whole tumor gene expression profiling was conducted on tissue samples from 60 ovarian cancer patients, and characteristics and clinico-pathological features of the patients are provided. We used several steps to analyze the expression profiles of the samples to identify the genes whose expression values correlate with survival, recurrence and advanced disease stage. First, using hazard ratios from univariate Cox regression analysis, the top 200 survival-related genes were evaluated for intersection with the top 200 recurrence-related genes, and 44 genes were obtained. Second, we examined the 44 genes that met the criteria of fold-change values between advanced stage and early stage samples of greater than 2 or less than 0.5. Ultimately, 17 genes were identified. A heat map of the 17 genes is depicted in the associated publication. Gene ontology and pathway enrichment analyses of the 17 genes were performed using Database for Annotation, Visualization and Integrated Discovery (DAVID). The major cellular component, biological process and molecular function of the 17 genes are associated with the extracellular region, intracellular signaling cascade, and protein binding and bridging, respectively. Two genes, COL11A1 and COL4A6, are involved in ECM-receptor interaction pathways. Notably, COL11A1 displayed the highest fold-change value in ovarian cancer disease progression; therefore, we selected COL11A1 for further experimental analysis.
2014-01-01 | E-GEOD-44104 | biostudies-arrayexpress
Project description:Mutant collagen COL11A1 enhances cancerous invasion [RNA-seq]
| PRJNA741266 | ENA
Project description:To check the profile of exosomal and cellular miRNA in ovarian cancer cell lines, total RNA were extracted from exosomes and cells. Thirteen ovarian cancer cell lines (A2780, ES-2, CAOV3, SKOV3, OV-90, OAW42, MCAS, COV362, RMG-1, RMUG-S, KURAMOCHI, NIH-OVCAR3 and A2780cis) were investigated, and HOSE1, HOSE2 and HOSE3 (human ovarian surface epithelim cell lines) were used as control.
2017-09-12 | GSE103708 | GEO
Project description:To investigate the molecular pathways underlying RNASET2-mediated tumor suppression in vivo, we investigated the gene expression profile of tumor samples obtained from control and RNASET2-silenced OVCAR3 xenografts, respectively. In order to evaluate the contribution of human cancer cells and the murine host stroma to RNASET2-mediated tumorigenesis responses, total RNA extracted from tumor xenografts derived from six independent OVCAR3 cell clones (three parental and three RNASET2-silenced clones) was fluorescently labeled and hybridized to human Agilent whole-genome microarrays. Control and RNASET2-silenced OVCAR3 were injected subcutaneously into nude mice. After 39 days mice were sacrified, tumors were extracted and total RNA purified.
2013-05-01 | E-GEOD-43029 | biostudies-arrayexpress
Project description:To further development of the effects of miR-200a in ovarian cancer OVCAR3 cells，we have employed lncRNA and mRNA microarray as a discovery platform to identify lncRNA and mRNA expression in miR-200a overexpressing ovarian cancer cells. OVCAR3 cells were transfected with lentiviral vector with eGFP, encoding miR-200a and negative control vector (LV- miR-200a and LV-CON,) by using polybrene. The dysregulation of miR-200a was confirmed by using RT-PCR. RNA was extracted and detected by a lncRNA and mRNA microarray in LV-miR-200a and LV-CON OVCAR3 cells. The different expression of lncRNA and mRNA in LV-miR-200a and LV-CON OVCAR3 cells was analyzed to explore the mechanism that miR-200a affect ovarain cancer cells.
2018-11-04 | GSE122123 | GEO
Project description:The identification of prognostic biomarkers is a priority for patients suffering from high-grade serous ovarian cancer (SOC), which accounts for >70% of ovarian cancer (OC) deaths. Meanwhile borderline ovarian cancer (BOC) is a low malignancy tumor and usually patients undergo surgery with low probabilities of recurrence. However, SOC remains the most lethal neoplasm due to the lack of biomarkers for early diagnosis and prognosis. In this regard BORIS (CTCFL), a CTCF paralog, is a promising cancer biomarker that is overexpressed and controls transcription in several cancer types, mainly in OC. Studies suggest that BORIS has an important function in OC by altering gene expression, but the effect and extent to which BORIS influences transcription in OC from a genome-wide perspective is unclear. Here we sought to identify BORIS target genes in an OC cell line (OVCAR3) with potential biomarker use in OC tumor samples. To achieve this, we performed in vitro knockout (KO) and knockdown (KD) experiments of BORIS in OVCAR3 cell line followed by expression microarrays and bioinformatics network enrichment analysis to identify relevant BORIS target genes.
2019-07-31 | GSE130163 | GEO