FXYD5 (dysadherin) upregulation predicts shorter survival and reveals platinum resistance in high-grade serous ovarian cancer
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ABSTRACT:
PROVIDER: PRJNA545492 | ENA |
REPOSITORIES: ENA
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Project description:This study aims at correlating changes in the transcriptional state in high grade serous epithelial ovarian cancer (HGS-EOC) to the response to therapy, in particular the insurgence of resistance to platinum-based treatment.
2020-02-11 | E-MTAB-7083 | biostudies-arrayexpress
Project description:This study aims at correlating changes in the microRNA state in high grade serous epithelial ovarian cancer (HGS-EOC) to the response to therapy, in particular the insurgence of resistance to platinum-based treatment.
2020-02-11 | E-MTAB-7084 | biostudies-arrayexpress
Project description:Cisplatin- and carboplatin-resistant high-grade serous ovarian cancer (HGSC) cells were generated and new lines were created from single cell clones. All cells were derived from a common ancestral line, Ovcar4. RNA sequencing was performed to examine transcriptional changes related to acquisition of platinum resistance.
2022-08-01 | GSE141630 | GEO
Project description:High-grade serous ovarian carcinoma (HGSOC) is generally associated with a very dismal prognosis. Nevertheless, patients with similar clinicopathological characteristics can have markedly different clinical outcomes. Our aim was the identification of novel molecular determinants influencing survival. Gene expression profiles of 12 HGSOC long-term and 27 short-term survivors (training set) were generated by microarray, and a prognostic signature was identified and further evaluated on an independent extensive HGSOC dataset through a meta-analysis approach.
2019-11-14 | GSE131978 | GEO
Project description:Background: Resistance to platinum-based chemotherapy remains a major impediment in the treatment of serous epithelial ovarian cancer. The objective of this study was to use gene expression profiling to delineate major deregulated pathways and biomarkers associated with the development of intrinsic chemotherapy resistance upon exposure to standard first-line therapy for ovarian cancer. Methods: The study cohort comprised 28 patients divided into two groups based on their varying sensitivity to first-line chemotherapy using progression free survival (PFS) as a surrogate of response. All 28 patients had advanced stage, high-grade serous ovarian cancer, and were treated with the same standard platinum-based chemotherapy. Twelve patient tumors demonstrating relative resistance to platinum chemotherapy corresponding to shorter PFS (< eight months) were compared to sixteen tumors from platinum-sensitive patients (PFS > eighteen months). Whole transcriptome profiling was performed using a Affymetrix high-resolution microarray platform to permit global comparisons of gene expression profiles between tumors from the resistant group and the sensitive group. Results: Microarray data analysis revealed a set of 204 discriminating genes possessing expression levels, which could influence differential chemotherapy response between the two groups. Robust statistical testing was then performed which eliminated a dependence on the normalization algorithm employed, producing a restricted list of differentially regulated genes, and which found IGF1 to be the most strongly differentially expressed gene. Pathway analysis, based on the list of 204 genes, revealed enrichment in genes primarily involved in the IGF1/PI3K/NFκB/ERK gene signalling networks. Conclusions: This study has identified pathway specific prognostic biomarkers possibly underlying a differential chemotherapy response in patients undergoing standard platinum-based treatment of serous epithelial ovarian cancer. Future studies to validate these markers are necessary to apply this knowledge to biomarker-based clinical trials. Total RNA from 12 chemotherapy resistant and 16 sensitive chemotherapy sensitive high-grade serous epithelial ovarian cancer samples was subjected to whole transcriptome profiling using Affymetrix U133 Plus 2.0 arrays
2014-01-01 | E-GEOD-51373 | biostudies-arrayexpress
Project description:The impact of platinum and taxol based neoadjuvant chemotherapy on tumour-associated macrophages (TAMs) was examined by analysis of TAMs extracted from high grade serous ovarian cancer (HGSOC) samples pre and post chemotherapy.
2021-04-20 | GSE158739 | GEO
Project description:Platinum-based chemotherapies are widely used anti-cancer drugs. Tumor resistance to platinum compounds is a major determinant of patient survival, including in high grade serous ovarian cancer (HGSOC). To understand mechanisms of platinum resistance and identify potential therapeutic targets in resistant HGSOC, we generated a comprehensive, reproducible data resource comprised of dynamic (+/-carboplatin) proteomic/posttranslational modification and RNASeq profiles from HGSOC intra-patient cell line pairs derived from 3 patients before and after acquiring platinum resistance. The molecular profiles revealed extensive responses to carboplatin and differential responses between sensitive and resistant cells. Higher oxidative phosphorylation and fatty acid oxidation (FAO) pathway expression were observed in the platinum-resistant cells, which was further validated in patient-derived xenograft (PDX) models. We show that both pharmacologic inhibition and CRISPR knockout of CPT1A, which represents a rate limiting step of FAO, sensitize HGSOC cells to platinum. Thus, FAO is a candidate therapeutic target to overcome platinum resistance.
2022-01-04 | GSE163152 | GEO
Project description:Background: Resistance to platinum-based chemotherapy remains a major impediment in the treatment of serous epithelial ovarian cancer. The objective of this study was to use gene expression profiling to delineate major deregulated pathways and biomarkers associated with the development of intrinsic chemotherapy resistance upon exposure to standard first-line therapy for ovarian cancer. Methods: The study cohort comprised 28 patients divided into two groups based on their varying sensitivity to first-line chemotherapy using progression free survival (PFS) as a surrogate of response. All 28 patients had advanced stage, high-grade serous ovarian cancer, and were treated with the same standard platinum-based chemotherapy. Twelve patient tumors demonstrating relative resistance to platinum chemotherapy corresponding to shorter PFS (< eight months) were compared to sixteen tumors from platinum-sensitive patients (PFS > eighteen months). Whole transcriptome profiling was performed using a Affymetrix high-resolution microarray platform to permit global comparisons of gene expression profiles between tumors from the resistant group and the sensitive group. Results: Microarray data analysis revealed a set of 204 discriminating genes possessing expression levels, which could influence differential chemotherapy response between the two groups. Robust statistical testing was then performed which eliminated a dependence on the normalization algorithm employed, producing a restricted list of differentially regulated genes, and which found IGF1 to be the most strongly differentially expressed gene. Pathway analysis, based on the list of 204 genes, revealed enrichment in genes primarily involved in the IGF1/PI3K/NFκB/ERK gene signalling networks. Conclusions: This study has identified pathway specific prognostic biomarkers possibly underlying a differential chemotherapy response in patients undergoing standard platinum-based treatment of serous epithelial ovarian cancer. Future studies to validate these markers are necessary to apply this knowledge to biomarker-based clinical trials.
2014-01-01 | GSE51373 | GEO
Project description:In the present project, in order to explore the molecular basis of platinum resistance and further determine potential biomarkers and therapeutic targets for high-grade serous ovarian cancer (HGSOC), we conducted a comparative proteomic analysis to identify the differentially expressed proteins between tumor tissues from platinum-sensitive and platinum-resistant HGSOC patient groups.
2021-09-30 | PXD028225 | iProX
Project description:Large independent analyses on cancer cell lines followed by functional studies have identified Schlafen 11 (SLFN11), a putative helicase, as the strongest predictor of sensitivity to DNA-damaging agents (DDA), including platinum. However, its role as a prognostic biomarker is undefined, partially due to the lack of validated methods to score SLFN11 in human tissues. Here, we implemented a pipeline to quantify SLFN11 in human cancer samples. By analyzing a cohort of high-grade serous ovarian carcinoma (HGSOC) specimens prior platinum-based chemotherapy treatment, we show, for the first time, that SLFN11 density in both the neoplastic and microenvironmental components was independently associated with favorable outcome. We observed SLFN11 expression in both infiltrating innate and adaptive immune cells, and analyses in a second, independent, cohort revealed that SLFN11 is associated with immune activation in HGSOC. We found that platinum treatments activated immune-related pathways in ovarian cancer cells in a SLFN11-dependent manner, representative of tumor-immune transactivation. Moreover, SLFN11 expression was induced in activated, isolated, immune cell subpopulations, hinting that SLFN11 in the immune compartment may be an indicator of immune transactivation. In summary, we propose SLFN11 is a dual biomarker capturing simultaneously interconnected immunological and cancer-cell-intrinsic functional dispositions associated with sensitivity to DDA treatment.
2021-07-13 | GSE179896 | GEO