Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes.

ABSTRACT: Molecular stratification of tumors is essential for developing personalized therapies. Although patient stratification strategies have been successful; computational methods to accurately translate the gene-signature from high-throughput platform to a clinically adaptable low-dimensional platform are currently lacking. Here, we describe PIGExClass (platform-independent isoform-level gene-expression based classification-system), a novel computational approach to derive and then transfer gene-signatures from one analytical platform to another. We applied PIGExClass to design a reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) based molecular-subtyping assay for glioblastoma multiforme (GBM), the most aggressive primary brain tumors. Unsupervised clustering of TCGA (the C

SUBMITTER: Pal S 

PROVIDER: S-EPMC4005667 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature