A Ten-microRNA Expression Signature Predicts Survival in Glioblastoma

Sujaya Srinivasan, Irene Rosita Pia Patric and Kumaravel Somasundaram

PLOS ONE, 2011, vol. 6, issue 3, 1-7

Abstract: Glioblastoma (GBM) is the most common and aggressive primary brain tumor with very poor patient median survival. To identify a microRNA (miRNA) expression signature that can predict GBM patient survival, we analyzed the miRNA expression data of GBM patients (n = 222) derived from The Cancer Genome Atlas (TCGA) dataset. We divided the patients randomly into training and testing sets with equal number in each group. We identified 10 significant miRNAs using Cox regression analysis on the training set and formulated a risk score based on the expression signature of these miRNAs that segregated the patients into high and low risk groups with significantly different survival times (hazard ratio [HR] = 2.4; 95% CI = 1.4–3.8; p

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0017438

DOI: 10.1371/journal.pone.0017438

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