Identification of high risk anaplastic gliomas by a diagnostic and prognostic signature derived from mRNA expression profiling.

ABSTRACT: Anaplastic gliomas are characterized by variable clinical and genetic features, but there are few studies focusing on the substratification of anaplastic gliomas. To identify a more objective and applicable classification of anaplastic gliomas, we analyzed whole genome mRNA expression profiling of four independent datasets. Univariate Cox regression, linear risk score formula and receiver operating characteristic (ROC) curve were applied to derive a gene signature with best prognostic performance. The corresponding clinical and molecular information were further analyzed for interpretation of the different prognosis and the independence of the signature. Gene ontology (GO), Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA) were performed for functional annotation o

SUBMITTER: Zhang CB 

PROVIDER: S-EPMC4742201 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature