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Article

Prediction of clinical outcome in glioblastoma using a biologically relevant nine‐microRNA signature

28 Nov 2014

Abstract excerpt

BACKGROUND: Glioblastoma is the most aggressive primary brain tumor, and is associated with a very poor prognosis. In this study we investigated the potential of microRNA expression profiles to predict survival in this challenging disease. METHODS: MicroRNA and mRNA expression data from glioblastoma (n = 475) and grade II and III glioma (n = 178) were accessed from The Cancer Genome Atlas. LASSO regression models...

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PMID: 25499534
DOI: 10.1016/j.molonc.2014.11.004

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