Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 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

ACCESS DATA

Json Xml

Similar Datasets

Whole genome characterisation of chemoresistant ovarian cancer [NanoString miRNA]

2015-05-19 | GSE65819 | GEO

Whole genome characterisation of chemoresistant ovarian cancer [Illumina_450K_Methylation]

2015-05-19 | GSE65820 | GEO

Whole genome characterisation of chemoresistant ovarian cancer [Illumina_Omini 2.5-8_SNP]

2015-05-19 | GSE61568 | GEO

Whole genome characterisation of chemoresistant ovarian cancer

Project description:This SuperSeries is composed of the SubSeries listed below. 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.

2015-05-19 | GSE65821 | GEO

Whole genome characterisation of chemoresistant ovarian cancer [Illumina_450K_Methylation]

Project description: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. Genomic DNA (500ng) was bisulfite converted using EZ DNA methylation Kit (Zimo Research) following the manufacturer’s protocol with modification for Illumina Infinium Methyaltion arrays. Samples were hybridized to Infinium Human Methylation 450K BeadChips (Illumina) according to the manufacturer’s protocol. Arrays were scanned on Iscan (Illumina). Data was background corrected, normalized to internal controls and QC was performed at the probe and sample level. COMBAT was used to remove batch effects (Johnson et al., 2007). Contributor: The Australian Ovarian Cancer Study Group

2015-05-19 | E-GEOD-65820 | biostudies-arrayexpress

MicroRNA expression profile in TRAIL-sensitive and -resistant H460 cells

Project description:We generated H460 cells with acquired TRAIL resistance by exposing the parental sentisitve cells to subtoxic concentrations of TRAIL for 6 months. Then we compared the microRNA expression profile in the sensitive versus resistant cells. H460 cells were treated with subtoxic concentrations of TRAIL for 6 month. After confirmation of the resistance, the RNA was extracted and the microRNA expression profile was analyzed using the NanoString technology.

2014-09-01 | E-GEOD-55821 | biostudies-arrayexpress

Genome Landscape of High-Grade Serous Ovarian Cancer

| EGAS00001000397 | EGA

Effect of Trp53 and Rb1 knockout and Myc overexpression on fallopian tube epithelial organoids

Project description:Refractory high-grade serous carcinoma (HGSC) is one of the most severe clinical problems in gynecology, but we have barely grasped the underlying mechanism of aggressiveness and chemo-resistance. We performed gene set variation analysis and comprehensive log-rank tests on TCGA advanced serous ovarian cancer datasets. As a result, regulation of small GTPase signaling prominently correlated with poor prognosis uniquely in BRCA1/2-unmutated HGSC patients, and eventually, pathway clustering analysis discovered aberrant RAS/PI3K crosstalk as peculiar poor prognostic signature of BRCA1/2-unmutated HGSC patients. To elucidate the mechanism of poor progression triggered by RAS/PI3K, we utilized our syngeneic HGSC organoid models newly established from murine fallopian tube epithelium by making Myc overexpressing, and knocking out Trp53 and Rb1. After that, we knocked out Nf1 and Pten to induce aberrant RAS/PI3K crosstalk in the primitive HGSC model. In-vivo evaluation and growth comparison indicated that aberrant RAS/PI3K crosstalk transformed Brca1/2-unmutated HGSC modeling cells into aggressive phenotypes. Chemo-sensitivity assay also showed that the genetic manipulation made Brca1/2-unmutated HGSC modeling cells more tolerant to anti-tumor agents. To investigate biological processes that induce the aggressive and chemo-resistant phenotype, we performed gene set enrichment analysis among our HGSC models. The result showed that aberrant RAS/PI3K crosstalk induces cell cycle acceleration and downregulation of apoptosis in the HGSC cells, which backed up aggressive phenotype and chemo-resistance in our HGSC models. In conclusion, aberrant RAS/PI3K crosstalk transforms Brca1/2-unmutated HGSC modeling cells more aggressive and chemo-resistant, which was well recapitulated by our HGSC modeling organoids. The integration of our computational approach and experimental models will lead us to detect peculiar therapeutic targets against refractory HGSC.

2024-05-07 | GSE255127 | GEO

Comparison of microRNA Profiling Platforms (NanoString)

Project description:Global miRNA expression profiling of human malignancies is gaining popularity in both basic and clinically driven research. But to date, the majority of such analyses have used microarrays and quantitative real-time PCR. With the introduction of digital count technologies, such as next-generation sequencing (NGS) and the NanoString nCounter System, we have at our disposal, many more options. To make effective use of these different platforms, the strengths and pitfalls of several miRNA profiling technologies were assessed, including a microarray platform, NGS technologies and the NanoString nCounter System. These results were compared to gold-standard quantitative real-time PCR. Comparison of non-small cell lung cancer cell lines grown in vitro (n = 5) and in vivo (n = 5) as xenograft models.

2013-10-22 | E-GEOD-51504 | biostudies-arrayexpress

Amyotrophic lateral sclerosis

Project description:This SuperSeries is composed of the following subset Series: GSE39642: NanoString nCounter immune-related gene expression in blood sorted CD14+CD16- monocytes from sALS, fALS and HC subjects GSE39643: NanoString miRNA profiling of peripheral blood sorted CD14+CD16- monocytes from amyotrophic lateral sclerosis, multiple sclerosis and healthy control subjects Refer to individual Series

2012-07-25 | E-GEOD-39644 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data