Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay.

ABSTRACT:

Introduction

Predicting the clinical course of breast cancer is often difficult because it is a diverse disease comprised of many biological subtypes. Gene expression profiling by microarray analysis has identified breast cancer signatures that are important for prognosis and treatment. In the current article, we use microarray analysis and a real-time quantitative reverse-transcription (qRT)-PCR assay to risk-stratify breast cancers based on biological 'intrinsic' subtypes and proliferation.

Methods

Gene sets were selected from microarray data to assess proliferation and to classify breast cancers into four different molecular subtypes, designated Luminal, Normal-like, HER2+/ER-, and Basal-like. One-hundred and twenty-three breast samples (117 invasive carcinomas, one fibro

SUBMITTER: Perreard L 

PROVIDER: S-EPMC1557722 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature