Zephyrus's Veer:LV [2 articles]

Abstract

Functional Genomics Unit, Jules Bordet Institute, Université Libre de Bruxelles, Brussels, Belgium. bhaibeka@ulb.ac.be BACKGROUND: During the last years, several groups have identified prognostic gene expression signatures with apparently similar performances. However, signatures were never compared on an independent population of untreated breast cancer patients, where risk assessment was computed using the original algorithms and microarray platforms. RESULTS: We compared three gene expression signatures, the 70-gene, the 76-gene and the Gene expression Grade Index (GGI) signatures, in terms of predicting distant metastasis free ...

Abstract

Introduction Several gene expression signatures have been proposed which have been demonstrated to be predictive of outcome in breast cancer. Here we address the following issues: 1) Do these signatures perform similarly? 2) Are there (common) molecular processes reported by these signatures? 3) Can better prognostic predictors be constructed based on these identified molecular processes? Methods We performed a comprehensive analysis of the performance of nine gene expression signatures on seven different breast cancer datasets. To better characterize the functional processes associated with these ...

Note (first note only)

We provide new evidence of the potentially promising prognostic impact of Immunity and RNA-splicing processes in breast cancer.