Systems biology approach to identification of biomarkers for metastatic progression in cancer.

ABSTRACT:

Background

Metastases are responsible for the majority of cancer fatalities. The molecular mechanisms governing metastasis are poorly understood, hindering early diagnosis and treatment. Previous studies of gene expression patterns in metastasis have concentrated on selection of a small number of "signature" biomarkers.

Results

We propose an alternative approach that puts into focus gene interaction networks and molecular pathways rather than separate genes. We have reanalyzed expression data from a large set of primary solid and metastatic tumors originating from different tissues using the latest available tools for normalization, identification of differentially expressed genes and pathway analysis. Our studies indicate that regardless of the tissue of origin, all metasta

SUBMITTER: Ptitsyn AA 

PROVIDER: S-EPMC2537559 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature