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A Ten-microRNA Expression Signature Predicts Survival in Glioblastoma

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  • Sujaya Srinivasan
  • Irene Rosita Pia Patric
  • Kumaravel Somasundaram

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

Suggested Citation

  • Sujaya Srinivasan & Irene Rosita Pia Patric & Kumaravel Somasundaram, 2011. "A Ten-microRNA Expression Signature Predicts Survival in Glioblastoma," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-7, March.
    • Handle: RePEc:plo:pone00:0017438
    DOI: 10.1371/journal.pone.0017438
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    Cited by:

    1. Chunlong Zhang & Chunquan Li & Jing Li & Junwei Han & Desi Shang & Yunpeng Zhang & Wei Zhang & Qianlan Yao & Lei Han & Yanjun Xu & Wei Yan & Zhaoshi Bao & Gan You & Tao Jiang & Chunsheng Kang & Xia Li, 2014. "Identification of miRNA-Mediated Core Gene Module for Glioma Patient Prediction by Integrating High-Throughput miRNA, mRNA Expression and Pathway Structure," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-12, May.
    2. Jie Xiong & Zhitong Bing & Yanlin Su & Defeng Deng & Xiaoning Peng, 2014. "An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.

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