An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis

Jie Xiong, Zhitong Bing, Yanlin Su, Defeng Deng and Xiaoning Peng

PLOS ONE, 2014, vol. 9, issue 5, 1-8

Abstract: Although patients with Glioblastoma multiforme (GBM) have grave prognosis, significant variability in patient outcome is observed. The objective of this study is to identify a molecular signature for GBM prognosis. We subjected 355 mRNA and microRNA expression profiles to elastic net-regulated Cox regression for identification of an integrated RNA signature for GBM prognosis. A prognostic index (PI) was generated for patient stratification. Survival comparison was conducted by Kaplan-Meier method and a general multivariate Cox regression procedure was applied to evaluate the independence of the PI. The abilities and efficiencies of signatures to predict GBM patient outcome was assessed and compared by the area under the curve (AUC) of the receiver-operator characteristic (ROC). An integrated RNA prognostic signature consisted by 4 protective mRNAs, 12 risky mRNAs, and 1 risky microRNA was identified. Decreased survival was associated with being in the high-risk group (hazard ratio = 2.864, P

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0098419

DOI: 10.1371/journal.pone.0098419

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