Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

ABSTRACT:

Background

A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine parallel analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions which demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes'.

Methods

We have performed whole genome analysis of CNAs using the Affymetrix 250K Mapping array on 22 infiltrating ductal carcinoma samples (IDCs). An

SUBMITTER: Hawthorn L 

PROVIDER: S-EPMC2939551 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature