Transcriptomics

Dataset Information

5

Transcription profiling of human breast cancer and a modular analysis of reveals a novel low-grade molecular signature in estrogen receptor-positive tumors


ABSTRACT: Primary human breast tumors were obtained from the National Cancer Centre of Singapore (NCC) Tissue Repository, after appropriate approvals from the NCC Repository and Ethics Committees. Profiled samples contained at least 50% tumor content.

ORGANISM(S): Homo sapiens  

SUBMITTER: Kun Yu  

PROVIDER: E-GEOD-2294 | ArrayExpress | 2008-06-12

SECONDARY ACCESSION(S): GSE2294PRJNA91669

REPOSITORIES: GEO, ArrayExpress

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Publications

A modular analysis of breast cancer reveals a novel low-grade molecular signature in estrogen receptor-positive tumors.

Yu Kun K   Ganesan Kumaresan K   Miller Lance D LD   Tan Patrick P  

Clinical cancer research : an official journal of the American Association for Cancer Research 20060601 11 Pt 1


PURPOSE: Previous reports using genome-wide gene expression data to classify breast tumors have typically used standard unsupervised or supervised techniques, both of which have known limitations. We hypothesized that novel clinically relevant information could be revealed in these data sets by an alternative analytic approach. Using a recently described algorithm, signature analysis (SA), we identified "modules," comprising groups of tightly coexpressed genes that are conditionally linked to pa  ...[more]

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