Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The genomic landscape of early stage ovarian high grade serous carcinoma

ABSTRACT: To determine whether early-stage ovarian high grade serous carcinoma (HGSC) represents a distinct genomic entity, we collected samples from 43 patients with stage IA-IIA HGSC to identify potential differences in short genomic variants and copy number aberrations, and compared them to a cohort of 52 late-stage (stage IIIC-IV) cases. We found no significant differences in somatic mutations or focal copy number alterations between early-stage and late-stage cohorts. There was, however, a significant difference in both ploidy and copy number signature exposure between early and late-stage samples, with higher ploidy and signature 4 exposure in late-stage cases. Unsupervised hierarchical clustering revealed three clusters, which were prognostic. Together, our data suggest that early and late-stage HGSC share fundamental genomic features, but that late- stage disease appears distinct from early-stage, with evidence of whole genome duplication that may provide evolutionary benefit.

PROVIDER: EGAS00001005567 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

CNV S2-DRSC Cells

Project description:modENCODE_submission_2551 This submission comes from a modENCODE project of David MacAlpine. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: Analysis of copy number variation across modENCODE Drosophila cell line by high throughput sequencing. We observe numerous copy number variations for the different cell lines, with each cell line having a distinct ploidy signature. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Keywords: deep sequencing analysis EXPERIMENT TYPE: deep sequencing analysis. BIOLOGICAL SOURCE: Cell Line: S2-DRSC; Tissue: embryo-derived cell-line; Developmental Stage: late embryonic stage; Sex: Male; EXPERIMENTAL FACTORS: Cell Line S2-DRSC

2010-01-21 | E-GEOD-19956 | biostudies-arrayexpress

CNV Kc-167 Cells

Project description:modENCODE_submission_2552 This submission comes from a modENCODE project of David MacAlpine. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: Analysis of copy number variation across modENCODE Drosophila cell line by high throughput sequencing. We observe numerous copy number variations for the different cell lines, with each cell line having a distinct ploidy signature. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Keywords: deep sequencing analysis EXPERIMENT TYPE: deep sequencing analysis. BIOLOGICAL SOURCE: Cell Line: Kc167; Tissue: embryo-derived cell-line; Developmental Stage: late embryonic stage; Genotype: se/e; Sex: Female; EXPERIMENTAL FACTORS: Cell Line Kc167

2010-01-21 | E-GEOD-19957 | biostudies-arrayexpress

Paired End CNV S2 DRSC Cells

Project description:modENCODE_submission_5524 This submission comes from a modENCODE project of David MacAlpine. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: Analysis of copy number variation across modENCODE Drosophila cell line by high throughput sequencing. We observe numerous copy number variations for the different cell lines, with each cell line having a distinct ploidy signature. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf EXPERIMENT TYPE: deep sequencing analysis. BIOLOGICAL SOURCE: Cell Line: S2-DRSC; Tissue: embryo-derived cell-line; Developmental Stage: late embryonic stage; Sex: Male; EXPERIMENTAL FACTORS: Cell Line S2-DRSC

2012-10-04 | E-GEOD-41347 | biostudies-arrayexpress

Paired End CNV Kc 167

Project description:modENCODE_submission_5523 This submission comes from a modENCODE project of David MacAlpine. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: Analysis of copy number variation across modENCODE Drosophila cell line by high throughput sequencing. We observe numerous copy number variations for the different cell lines, with each cell line having a distinct ploidy signature. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf EXPERIMENT TYPE: deep sequencing analysis. BIOLOGICAL SOURCE: Cell Line: Kc167; Tissue: embryo-derived cell-line; Developmental Stage: late embryonic stage; Genotype: se/e; Sex: Female; EXPERIMENTAL FACTORS: Cell Line Kc167

2012-10-04 | E-GEOD-41346 | biostudies-arrayexpress

Transformation of the Fallopian Tube Secretory Epithelium Leads to High-grade Serous Ovarian Cancer in BRCA/P53/PTEN Models

Project description:Our study presents the first genetic models of de novo high-grade serous carcinomas (HGSC) that originate in fallopian tube secretory epithelial cells and recapitulate the key genetic alterations and precursor lesions characteristic of human invasive ovarian cancer. Genomic copy number analysis, using array CGH, was performed on murine tumors in order to compare the overlap of copy number alterations between HGSC models and TCGA data. Array CGH was performed on genomic DNA isolated from murine HGSC tumors. Genomic DNA from three normal mouse fallopian tubes was pooled and used as the reference.

2013-12-17 | E-GEOD-49827 | biostudies-arrayexpress

Transformation of the Fallopian Tube Secretory Epithelium Leads to High-grade Serous Ovarian Cancer in BRCA/P53/PTEN Models

2013-12-17 | GSE49827 | GEO

CGH S2-DRSC Cells

2009-07-29 | GSE17292 | GEO

CGH S2-DRSC Cells

Project description:modENCODE_submission_725 This submission comes from a modENCODE project of David MacAlpine. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: Analysis of copy number variation across modENCODE Drosophila cell line by comparative genomic hybridization (CGH). We observe numerous copy number variations for the different cell lines, with each cell line having a distinct ploidy signature. Keywords: CGH For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf EXPERIMENT TYPE: CGH. BIOLOGICAL SOURCE 1: Strain: w1118; Developmental Stage: Embryo 0-4h; Genotype: w[1118]; Sex: Unknown; BIOLOGICAL SOURCE 2: Cell Line: S2-DRSC; Tissue: embryo-derived cell-line; Sex: Male; NUMBER OF REPLICATES: 2; EXPERIMENTAL FACTORS: Cell Line S2-DRSC

2010-05-15 | E-GEOD-17292 | biostudies-arrayexpress

Impact on Disease Development, Genomic Location and Biological Function of Copy Number Alterations in Non-Small Cell Lung Cancer

Project description:Lung cancer, of which more than 80% is non-small cell, is the leading cause of cancer-related death in the United States. Copy number alterations (CNAs) in lung cancer have been shown to be positionally clustered in certain genomic regions. However, it remains unclear whether genes with copy number changes are functionally clustered. Using a dense single nucleotide polymorphism array, we performed genome-wide copy number analyses of a large collection of non-small cell lung tumors (n = 301). We proposed a formal statistical test for CNAs between different groups (e.g., noninvolved lung vs. tumors, early vs. late stage tumors). We also customized the gene set enrichment analysis (GSEA) algorithm to investigate the overrepresentation of genes with CNAs in predefined biological pathways and gene sets (i.e., functional clustering). We found that CNAs events increase substantially from germline, early stage to late stage tumor. In addition to genomic position, CNAs tend to occur away from the gene locations, especially in germline, noninvolved tissue and early stage tumors. Such tendency decreases from germline to early stage and then to late stage tumors, suggesting a relaxation of selection during tumor progression. Furthermore, genes with CNAs in non-small cell lung tumors were enriched in certain gene sets and biological pathways that play crucial roles in oncogenesis and cancer progression, demonstrating the functional aspect of CNAs in the context of biological pathways that were overlooked previously. We conclude that CNAs increase with disease progression and CNAs are both positionally and functionally clustered. The potential functional capabilities acquired via CNAs may be sufficient for normal cells to transform into malignant cells.

2011-12-06 | GSE34140 | GEO

High-resolution genome-wide copy number analysis of low grade serous ovarian tumours

Project description:Integration of genomic copy number analysis (Affymetrix SNP6.0 arrays) and oncogenic RAS/RAF mutation status with clinical features and tumour progression. This study found that loss of the 9p and the CDKN2A locus with the most significantly enriched copy number aberration distinguishing serous border tumors from low grade serous carcinomas, suggesting this is a key step to tumor progression. Epithelial tissue from 57 serous borderline tumors (SBTs), 19 low grade serous carcinomas (LGSC)(data for 4 of the carcinomas have previously been submitted to GEO - Series GSE19539) and 355 high grade serous carinomas (HGSC)(TCGA, 2011; GSE19539; and 8 new) were analysed for copy number aberrations using Affymetrix SNP6.0 arrays and normalised SNP6.0 data. Stromal tissue from 38 SBT and 1 HGSC were analysed for copy number aberrations using Affymetrix SNP6.0 arrays. Matching lymphocyte DNA was availabe for 54 SBT, 3 LGSC and 1 HGSC. Sanger sequencing of KRAS, BRAF, NRAS, HRAS, ERBB2 and TP53 mutational hotspots was performed on the epithelial and stromal DNA. This information was then correlated with clinical features of the tumors.

2015-03-01 | E-GEOD-58579 | 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