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

ABSTRACT: Expression profiling of breast cancer tumours, comparing 10 year survivors to deceased patients 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 to evaluate the gene lists on the different data sets, a correlation-based classifier and a VFI (Voting Features Interval) classifier. We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar st

ORGANISM(S): Homo sapiens

SUBMITTER: Elin Karlsson 

PROVIDER: E-GEOD-12071 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress