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Dataset Information

Systematic analysis of the long noncoding RNA (lncRNA)-miRNA-mRNA competing endogenous RNA network to identify prognostic biomarkers and the potential regulatory axis in glioblastoma multiforme.


ABSTRACT:

Background

Glioblastoma (GBM) is an intracranial brain tumor characterized by a high final lethality rate and recurrence rate, and limited available therapies. With the development of high-throughput sequencing technology, the genomic and transcriptomic features of GBM have been fully characterized. Therefore, our study aimed to identify its underlying genetic mechanisms, thus facilitating the development of novel therapies for GBM.

Methods

Based on the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, differential expression of RNAs in GBM and control group was analyzed. After constructing the long noncoding RNA (lncRNA)-miRNA-mRNA regulatory network of GBM, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGGs) were performed to an

SUBMITTER: Li X 

PROVIDER: S-EPMC8798109 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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