Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer.

ABSTRACT:

Background

It is of great significance to find better markers to correctly distinguish between high-risk and low-risk breast cancer patients since the majority of breast cancer cases are at present being overtreated.

Methods

46 tumours from node-negative breast cancer patients were studied with gene expression microarrays. A t-test was carried out in order to find a set of genes where the expression might predict clinical outcome. Two classifiers were used for evaluation of the gene lists, a correlation-based classifier and a Voting Features Interval (VFI) classifier. We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar studies on lymph-node negative patients. They had both developed gene expression signatures superior to cur

SUBMITTER: Karlsson E 

PROVIDER: S-EPMC2559847 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature