Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Whole genome characterisation of chemoresistant ovarian cancer [NanoString miRNA]


ABSTRACT: Patients with high-grade serous ovarian cancer (HGSC) have experienced little improvement in overall survival, and standard treatment has not advanced beyond platinum-based combination chemotherapy, during the past 30 years. To understand the drivers of clinical phenotypes better, here we use whole-genome sequencing of tumour and germline DNA samples from 92 patients with primary refractory, resistant, sensitive and matched acquired resistant disease. We show that gene breakage commonly inactivates the tumour suppressors RB1, NF1, RAD51B and PTEN in HGSC, and contributes to acquired chemotherapy resistance. CCNE1 amplification was common in primary resistant and refractory disease. We observed several molecular events associated with acquired resistance, including multiple independent reversions of germline BRCA1 or BRCA2 mutations in individual patients, loss of BRCA1 promoter methylation, an alteration in molecular subtype, and recurrent promoter fusion associated with overexpression of the drug efflux pump MDR1. Total RNA was hybridised to NanoString miRNA Human v2.1 probes, immobilized to NanoString cartridge and analysed on the NanoString Digital Analyzer. NanoString nSolver Analysis Software was utilised to check QC metrics and extract raw miRNA counts. Expression was normalised for input using the housekeeping genes. Contributor: The Australian Ovarian Cancer Study Group

ORGANISM(S): Homo sapiens

SUBMITTER: Ann-Marie Patch 

PROVIDER: E-GEOD-65819 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2015-05-19 | GSE61568 | GEO
2015-05-19 | GSE65820 | GEO
2015-05-19 | GSE65819 | GEO
2015-05-19 | GSE65821 | GEO
2015-05-19 | E-GEOD-65820 | biostudies-arrayexpress
2014-09-01 | E-GEOD-55821 | biostudies-arrayexpress
| EGAS00001000397 | EGA
2013-10-22 | E-GEOD-51504 | biostudies-arrayexpress
2012-07-25 | E-GEOD-39644 | biostudies-arrayexpress
2016-10-23 | E-GEOD-51689 | biostudies-arrayexpress