High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer.

ABSTRACT:

Background

The characterization of copy number alteration patterns in breast cancer requires high-resolution genome-wide profiling of a large panel of tumor specimens. To date, most genome-wide array comparative genomic hybridization studies have used tumor panels of relatively large tumor size and high Nottingham Prognostic Index (NPI) that are not as representative of breast cancer demographics.

Results

We performed an oligo-array-based high-resolution analysis of copy number alterations in 171 primary breast tumors of relatively small size and low NPI, which was therefore more representative of breast cancer demographics. Hierarchical clustering over the common regions of alteration identified a novel subtype of high-grade estrogen receptor (ER)-negative breast cancer, ch

SUBMITTER: Chin SF 

PROVIDER: S-EPMC2246289 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature