Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA170063 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:High grade serous ovarian cancers (HGSC) are deadly malignancies that relapse despite carboplatin chemotherapy. Many commercially ovarian cancer cell lines are not good models for HGSC. Here we demonstrate that 3 low passage cell lines derived from HGSC have similar transcriptomes to their parental bulk tumors. These cell lines recapitulated tumor characteristics of the primary cancer and had responded to therapy in the same manner as primary HGSC cells, demonstrating they are accurate models for HGSCs. mRNA profiles of low passage high grade serous tumor cell lines and their parental tumors, generated by next generation sequencing, were compared.
2015-08-01 | E-GEOD-70073 | biostudies-arrayexpress
Project description:High-grade serous carcinoma (HGSC) is the most common and deadly subtype of ovarian cancer. Although most patients will initially respond to first-line treatment with a combination of surgery and platinum-based chemotherapy, up to a quarter will be resistant to treatment. We aimed to identify a new strategy to improve HGSC patient management at the time of cancer diagnosis (HGSC-1LTR). Using proteomics in ready-available HGSC tissues, we have identified a molecular signature (TKT, LAMC1 and FUCO) that combined with ready available clinical data is able to predict patient response to first-line treatment (AUC: 0.82). Identification of chemoresistance at the time of diagnosis can facilitate the study of alternative treatments aimed at improving patient outcome. In addition, those patients classified as chemosensitive could undergo standard care with platinum-based agents. Therefore, the HGSC-1LTR strategy can allow optimization of therapeutic decision making and individualize HGSC patients’ care
2023-03-11 | PXD035084 | Pride
Project description:Purpose: One of the goals of this study is to compare the transcriptome profiles of tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using scRNA sequencing Methods: Tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models were compared using scRNA sequencing. Conclusions: We conclude that scRNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functions.
2020-11-17 | GSE158886 | GEO
Project description:Purpose: One of the goals of this study is to compare the transcriptome profiles of tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using next-generation sequencing (NGS)-derived RNA-seq. Methods: Tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models were compared using RNA sequencing. Conclusions: We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functions.
2020-11-17 | GSE158476 | GEO
Project description:High grade serous ovarian cancers (HGSC) are deadly malignancies that relapse despite carboplatin chemotherapy. Here we show that 16 independent primary HGSCs contain a CA125 negative population enriched for carboplatin resistant cancer initiating cells. Transcriptome analysis reveals up-regulation of homologous recombination DNA repair and anti-apoptotic signals in this population. While treatment with carboplatin enriches for CA125 negative cells, co-treatment with carboplatin and birinapant eliminates these cells in HGSCs expressing high levels of the inhibitor of apoptosis protein cIAP in the CA125 negative population. Birinapant sensitizes CA125 negative cells to carboplatin by mediating degradation of cIAP causing cleavage of caspase-8 and restoration of apoptosis. This co-therapy significantly improved disease free survival in vivo compared to either therapy alone in tumor-bearing mice. These findings suggest that therapeutic strategies that target CA125 negative cells may be useful in the treatment of HGSC. mRNA profiles of CA125 positive and negative populations, generated by next generation sequencing of populations FACS isolated from 10 independent dissociated primary human high grade serous ovarian cancers, were compared.
2015-08-01 | E-GEOD-70072 | biostudies-arrayexpress
Project description:Identification and validation of potential prognostic biomarkers in older ovarian cancer patients with high-grade serous adenocarcinoma (HGSC)
2020-03-01 | GSE126308 | GEO
Project description:Profiling of loss of heterozygosity (LOH) in HGSC, subcrouping HGSC by LOH-based clustering and comparing to the LOH profiles of triple-negative breast cancer [previously submitted; GSE19594]. Study for the correlation of LOH burdern and LOH-based subgroups to clinical response to platinum-based chemotherapy in patients suffered from HGSC. SNP data (Affymetrix GenChip 250K SNP Nsp) from 47 high grade serous ovarian cancer were generated and used for LOH and copy number analysis, LOH-based hierarchical clustering to subclassify HGSC, and comparison to the chromosomal alterations in high grade brest cancer. The associstion between LOH-based subgroups and LOH burden and clinical resposne to platinum-based chemotherapy was investigated. The results were validated in two independent public opening datasets.
2012-11-06 | E-GEOD-39130 | biostudies-arrayexpress
Project description:Here we show that ovarian progesterone is a crucial endogenous factor inducing metastatic ovarian cancer in a mouse model of high-grade serous carcinoma (HGSC). To examine the molecular signaling pathways underlying progesterone (P4)-induced HGSC development, we performed gene-expression profiling using RNA sequencing.
2020-12-29 | GSE157960 | GEO
Project description:Precision medicine approaches in ovarian cancer require the accurate diagnosis of histotypes. In particular, there is a critical need to distinguish endometroid (EC) from high grade serous (HGSC) carcinomas, which differ greatly in outcomes, genetic predisposition and optimal treatment approaches. Herein, we performed label-free quantitative proteomics on freshly frozen tumour tissues to discover biomarkers that may distinguish EC from HGSC, and then used IHC to validate these using a contemporarily classified cohort of EC and HGSC samples.
2019-03-13 | PXD012998 | Pride
Project description:The high degree of genetic aberrations characteristic of high-grade serous ovarian cancer (HGSC) makes identification of the molecular features that drive tumor progression difficult. Here, we perform genome-wide RNAi screens and comprehensive expression analysis of cell surface markers in a panel of HGSC cell lines to identify genes that are critical to their survival. We report that the tetraspanin CD151 contributes to survival of a subset of HGSC cell lines associated with a ZEB transcriptional program and supports the growth of HGSC tumors. Moreover, we show that high CD151 expression is prognostic of poor clinical outcome. This study reveals cell-surface vulnerabilities associated with HGSC, provides a framework for identifying therapeutic targets, and reports a role for CD151 in HGSC.
2017-02-03 | GSE94304 | GEO