Identification of the potential biomarkers in patients with glioma: a weighted gene co-expression network analysis.

ABSTRACT: Glioma is the most common brain tumor with high mortality. However, there are still challenges for the timely and accurate diagnosis and effective treatment of the tumor. One hundred and twenty-one samples with grades II, III and IV from the Gene Expression Omnibus database were used to construct gene co-expression networks to identify hub modules closely related to glioma grade, and performed pathway enrichment analysis on genes from significant modules. In gene co-expression network constructed by 2345 differentially expressed genes from 121 gene expression profiles for glioma, we identified the black and blue modules that associated with grading. The module preservation analysis based on 118 samples indicates that the two modules were replicable. Enrichment analysis showed that the extr

SUBMITTER: Chen TY 

PROVIDER: S-EPMC7351128 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature