Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA141027 | ENA |
REPOSITORIES: ENA
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Project description:Goal of the experiment: To examine differential gene expression in three ovarian cancer cell lines in the absence and presence of mifepristone. Brief description of the experiment: Hypothesis: The gene expression profile associated with a cytostatic response to Mifepristone will be similar between ovarian cancer cells regardless of their p53 status or sensitivity to Cisplatin. Aim: Evaluate the modifications in gene expression profile in ovarian cancer cells in response to a cytostatic concentration of Mifepristone against those in logarithmic phase of growth (Vehicle). Compare the gene expression profile of cells with different genetic backgrounds as well as between those with identical genetic backgrounds but different sensitivities to Cisplatin. Cell Types: SKOV-3 as null p53 and semi-resistant to Cisplatin, OV2008 cells as wild type p53 and hyper-sensitive to Cisplatin , OV2008/C13 cells as wild type p53 and resistant to Cisplatin. Conditions: Cells from three different passages were cultured in T25 flasks. The starting number of cells was 250,000 or 500,000, however cells were left to grow for 48 hr or 24 hr respectively before to start the treatment with Mifepristone 8.6 µg/ml (20 µM) or DMSO (vehicle) for 24 hr.
2016-06-09 | GSE29763 | GEO
Project description:PARP inhibitor olaparib induces the formation of polyploid giant cancer cells (PGCCs) in ovarian and breast cancer cell lines, human high-grade serous ovarian cancer (HGSC)–derived organoids, and HGSC patient-derived xenografts (PDXs). Time-lapse tracking of ovarian cancer cells revealed that PGCCs primarily developed from endoreplication of cancer cells after exposure to sublethal concentrations of olaparib. PGCCs exhibited features of senescent cells but, after olaparib withdrawal, could escape senescence via restitutional multipolar endomitosis and other modes of cell division to generate mitotically competent resistant daughter cells. The contraceptive drug mifepristone blocked PGCC formation and daughter cell production. Mifepristone/olaparib combination therapy substantially reduced tumor growth in PDX models without previous olaparib exposure, while mifepristone alone decreased tumor growth in PDX models with acquired olaparib resistance. Thus, targeting PGCCs may represent a promising approach to potentiate the therapeutic response to PARPi and overcome PARPi-induced resistance.
2023-08-08 | GSE229119 | GEO
Project description:A microarray analysis was performed to compare the global gene expression profile between C-CPE treated- and untreated- SKOV-3 ovarian cancer cells.
2010-06-23 | GSE22421 | GEO
Project description:A microarray analysis was performed to compare the global gene expression profile between CLDN4-overexpressing (Control) and CLDN4-silencing SKOV-3 ovarian cancer cells.
2010-12-15 | GSE22493 | GEO
Project description:Microarray analysis of gene expression of ovarian cancer cells treated with 1,25-dihydroxyvitamin D3
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Project description:Transcriptional profile of XBP1-deficient ovarian cancer-associated dendritic cells (DCs)
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Project description:Epithelial ovarian cancer (EOC) constitutes a major gynecological malignancy, with a reported incidence rate of 3-12/100 000 woman annually. As early symptoms of ovarian cancer are often clinically atypical or absent, the majority of ovarian cancer patients are diagnosed at a late stage, when the five-year survival rate is extremely low. This condition underscores the urgency of early detection of these patients and establishment of new therapeutic targets for successful intervention. Considering that the predominant biological characteristic that differentiates malignant from benign tumors is the ability to metastasize, it is necessary to identify novel metastasis-related molecules for ovarian cancer. In this study, we found that CAFs could significantly increase the metastatic potential of ovarian cancer cells compared with non-cancer associated fibroblasts(NAFs), which is associated with over-expression of CXCL14 in CAFs. We examined the impact of CAF-secreted CXCL14 on the lncRNA expression profiles in ovarian cancer during metastasis. We treated A2780s ovarian cancer cell line with recombinant CXCL14 protein and control respectively and subjected them to Arraystar Human LncRNA microarray v3.0 to profile differential lncRNAs in ovarian cancer upon treatment of CXCL14
2016-06-01 | E-GEOD-82059 | biostudies-arrayexpress
Project description:To date, a variety of studies have employed gene expression profiling to classify ovarian carcinomas in clinically relevant subtypes. These studies provided valuable first clues to molecular changes in ovarian cancer that might be exploited in new treatment strategies. However, most studies were of relatively limited size and the number of overlapping genes in the identified profiles was minimal. Although identification of gene expression profiles associated with clinically relevant subtypes in ovarian cancer is important, knowledge is now emerging rapidly on how genes interact in pathways, networks and complexes; this allows us to unravel those cellular pathways determining the biological behavior of ovarian cancer, that might be successfully targeted with drugs. The aim of our study was: 1) To develop a gene expression profile associated with overall survival in advanced stage serous ovarian cancer, 2) to assess the association of pathways and transcription factors with overall survival, and 3) to validate our identified profile and pathways/transcription factors in an independent set of ovarian cancers. According to a randomized design, profiling of 157 advanced stage serous ovarian cancers was performed in duplicate using ~35K 70-mer oligonucleotide microarrays. A continuous predictor of overall survival was built taking into account well-known issues in microarray analysis, such as multiple testing and overfitting. A functional class scoring analysis was utilized to assess pathways/transcription factors for their association with overall survival. The prognostic value of genes that constitute our overall survival profile was validated on a fully independent, publicly available data set of 118 well-defined primary serous ovarian cancers. Furthermore, functional class scoring analysis was also performed on this independent data set to assess the similarities with results from our own data set. An 86-gene overall survival profile discriminated between patients with unfavorable and favorable prognosis (median survival, 19 vs. 41 months, respectively; permutation p-value of log-rank statistic = 0.015) and maintained its independent prognostic value in multivariate analysis. Genes that comprised the overall survival profile were also able to discriminate between the two risk groups in the independent data set. In our dataset 17/167 pathways and 13/111 transcription factors were associated with overall survival of which 16 and 12 respectively were confirmed in the independent dataset. Our study provides new clues to genes, pathways and transcription factors which contribute to the clinical outcome of serous ovarian cancer and might be exploited in designing new treatment strategies. Keywords: Oncology/Gynecological Cancers, Genetics and Genomics/Cancer Genetics, Genetics and Genomics/Gene Expression, Genetics and Genomics/Genomics According to a randomized design, profiling of 157 advanced stage serous ovarian cancers was performed in duplicate using ~35K 70-mer oligonucleotide microarrays. Two randomly selected samples were hybridized together on the arrays for intensity-based instead of ratio-based analysis of the microarray data.
2008-12-10 | E-GEOD-13876 | biostudies-arrayexpress
Project description:A gene expression profile of BRCAness that is associated with outcome in ovarian cancer
| PRJNA122163 | ENA