Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.

ABSTRACT: Glioblastoma multiforme (GBM) is the most common and malignant brain tumor of the adult central nervous system and is associated with poor prognosis. The present study aimed to identify the hub genes in GBM in order to improve the current understanding of the underlying mechanism of GBM. The RNA‑seq data were downloaded from The Cancer Genome Atlas database. The edgeR package in R software was used to identify differentially expressed genes (DEGs) between two groups: Glioblastoma samples and normal brain samples. Gene Ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed using Database for Annotation, Visualization and Integrated Discovery software. Additionally, Cytoscape and Search Tool for the Retrieval of

SUBMITTER: Chen X 

PROVIDER: S-EPMC7339479 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature