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Dataset Information

Construction of a competitive endogenous RNA network and analysis of potential regulatory axis targets in glioblastoma.


ABSTRACT:

Background

Glioblastoma is the most common primary malignant brain tumor. Because of the limited understanding of its pathogenesis, the prognosis of glioblastoma remains poor. This study was conducted to explore potential competing endogenous RNA (ceRNA) network chains and biomarkers in glioblastoma by performing integrated bioinformatics analysis.

Methods

Transcriptome expression data from The Cancer Genome Atlas database and Gene Expression Omnibus were analyzed to identify differentially expressed genes between glioblastoma and normal tissues. Biological pathways potentially associated with the differentially expressed genes were explored by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and a protein-protein interaction network was establishe

SUBMITTER: Yu K 

PROVIDER: S-EPMC7881621 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature