Identification and validation of a new set of five genes for prediction of risk in early breast cancer.

ABSTRACT: Molecular tests predicting the outcome of breast cancer patients based on gene expression levels can be used to assist in making treatment decisions after consideration of conventional markers. In this study we identified a subset of 20 mRNA differentially regulated in breast cancer analyzing several publicly available array gene expression data using R/Bioconductor package. Using RTqPCR we evaluate 261 consecutive invasive breast cancer cases not selected for age, adjuvant treatment, nodal and estrogen receptor status from paraffin embedded sections. The biological samples dataset was split into a training (137 cases) and a validation set (124 cases). The gene signature was developed on the training set and a multivariate stepwise Cox analysis selected five genes independently associated

SUBMITTER: Mustacchi G 

PROVIDER: S-EPMC3676806 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature