Gene pathways and subnetworks distinguish between major glioma subtypes and elucidate potential underlying biology.

ABSTRACT: Molecular diagnostic tools are increasingly being used in an attempt to classify primary human brain tumors more accurately. While methods that are based on the analysis of individual gene expression prove to be useful for diagnostic purposes, they are devoid of biological significance since tumorgenesis is a concerted deregulation of multiple pathways rather than single genes. In a proof of concept, we utilize two large clinical data sets and show that the elucidation of enriched pathways and small differentially expressed sub-networks of protein interactions allow a reliable classification of glioblastomas and oligodendrogliomas. Applying a feature selection method, we observe that an optimized subset of pathways and subnetworks significantly improves the prediction accuracy. By determin

SUBMITTER: Wuchty S 

PROVIDER: S-EPMC7241867 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature