Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis.

ABSTRACT: Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor in adults. Patients with this disease have a poor prognosis. The objective of this study is to identify survival-related individual genes (or miRNAs) and miRNA -mRNA pairs in GBM using a multi-step approach. First, the weighted gene co-expression network analysis and survival analysis are applied to identify survival-related modules from mRNA and miRNA expression profiles, respectively. Subsequently, the role of individual genes (or miRNAs) within these modules in GBM prognosis are highlighted using survival analysis. Finally, the integration analysis of miRNA and mRNA expression as well as miRNA target prediction is used to identify survival-related miRNA -mRNA regulatory network. In this study, fi

SUBMITTER: Bing ZT 

PROVIDER: S-EPMC8687286 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature