Interrogating differences in expression of targeted gene sets to predict breast cancer outcome.

ABSTRACT:

Background

Genomics provides opportunities to develop precise tests for diagnostics, therapy selection and monitoring. From analyses of our studies and those of published results, 32 candidate genes were identified, whose expression appears related to clinical outcome of breast cancer. Expression of these genes was validated by qPCR and correlated with clinical follow-up to identify a gene subset for development of a prognostic test.

Methods

RNA was isolated from 225 frozen invasive ductal carcinomas,and qRT-PCR was performed. Univariate hazard ratios and 95% confidence intervals for breast cancer mortality and recurrence were calculated for each of the 32 candidate genes. A multivariable gene expression model for predicting each outcome was determined using the LASSO, with

SUBMITTER: Andres SA 

PROVIDER: S-EPMC3707751 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature