Whole-genome mRNA expression profiling identifies functional and prognostic signatures in patients with mesenchymal glioblastoma multiforme.

ABSTRACT:

Background

The Cancer Genome Atlas (TCGA) has divided patients with glioblastoma multiforme (GBM) into four subtypes based on mRNA expression microarray. The mesenchymal subtype, with a larger proportion, is considered a more lethal one. Clinical outcome prediction is required to better guide more personalized treatment for these patients.

Aims

The objective of this study was to identify a mRNA expression signature to improve outcome prediction for patients with mesenchymal GBM.

Results

For signature identification and validation, we downloaded mRNA expression microarray data from TCGA as training set and data from Rembrandt and GSE16011 as validation set. Cox regression and risk-score analysis were used to develop the 4 signatures, which were function and prognosis a

SUBMITTER: Bao ZS 

PROVIDER: S-EPMC6493663 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature