Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

DNAseq data from human ovarian carcinoma cell lines subjected to shRNA TRC1.0 library

ABSTRACT: The hallmark of human cancer is heterogeneity, mirroring the complexity of genetic and epigenetic alterations acquired during oncogenesis. We extracted DNA of 14 cultured human ovarian carcinoma cell lines subjected to pooled shRNA screen using TRC 1.0 library, and performed DNAseq. 14 ovarian carcinoma cell lines DNAseq data.

ORGANISM(S): Homo sapiens

SUBMITTER: Tuan Zea Tan

PROVIDER: E-GEOD-45420 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

Tan Tuan Zea TZ Miow Qing Hao QH Huang Ruby Yun-Ju RY Wong Meng Kang MK Ye Jieru J Ye Jieru J Lau Jieying Amelia JA Wu Meng Chu MC Bin Abdul Hadi Luqman Hakim LH Soong Richie R Choolani Mahesh M Davidson Ben B Nesland Jahn M JM Wang Ling-Zhi LZ Matsumura Noriomi N Mandai Masaki M Konishi Ikuo I Goh Boon-Cher BC Chang Jeffrey T JT Thiery Jean Paul JP Mori Seiichi S

EMBO molecular medicine 20130513 7

Epithelial ovarian cancer (EOC) is hallmarked by a high degree of heterogeneity. To address this heterogeneity, a classification scheme was developed based on gene expression patterns of 1538 tumours. Five, biologically distinct subgroups - Epi-A, Epi-B, Mes, Stem-A and Stem-B - exhibited significantly distinct clinicopathological characteristics, deregulated pathways and patient prognoses, and were validated using independent datasets. To identify subtype-specific molecular targets, ovarian can ...[more]

PMID: 23666744

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Dataset Information

DNAseq data from human ovarian carcinoma cell lines subjected to shRNA TRC1.0 library

Publications

Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

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