A gene sets approach for identifying prognostic gene signatures for outcome prediction.

ABSTRACT:

Background

Gene expression profiling is a promising approach to better estimate patient prognosis; however, there are still unresolved problems, including little overlap among similarly developed gene sets and poor performance of a developed gene set in other datasets.

Results

We applied a gene sets approach to develop a prognostic gene set from multiple gene expression datasets. By analyzing 12 independent breast cancer gene expression datasets comprising 1,756 tissues with 2,411 pre-defined gene sets including gene ontology categories and pathways, we found many gene sets that were prognostic in most of the analyzed datasets. Those prognostic gene sets were related to biological processes such as cell cycle and proliferation and had additional prognostic values over conven

SUBMITTER: Kim SY 

PROVIDER: S-EPMC2364634 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature