A new molecular breast cancer subclass defined from a large scale real-time quantitative RT-PCR study.

ABSTRACT:

Background

Current histo-pathological prognostic factors are not very helpful in predicting the clinical outcome of breast cancer due to the disease's heterogeneity. Molecular profiling using a large panel of genes could help to classify breast tumours and to define signatures which are predictive of their clinical behaviour.

Methods

To this aim, quantitative RT-PCR amplification was used to study the RNA expression levels of 47 genes in 199 primary breast tumours and 6 normal breast tissues. Genes were selected on the basis of their potential implication in hormonal sensitivity of breast tumours. Normalized RT-PCR data were analysed in an unsupervised manner by pairwise hierarchical clustering, and the statistical relevance of the defined subclasses was assessed by Chi2 ana

SUBMITTER: Chanrion M 

PROVIDER: S-EPMC1828062 | biostudies-literature | 2007 Mar

REPOSITORIES: biostudies-literature