DNA Methylation-based Diagnostic and Prognostic Biomarkers for Glioblastoma.

Cell Transplantation
Yunliang TangZhenguo Zeng

Abstract

Glioblastomas are the most common primary central nervous system malignancy tumor in adults. Glioblastoma patients have poor prognosis, with an average survival period of approximately 14 mo after diagnosis. To date, there are a limited number of effective treatment methods for glioblastoma, and its molecular mechanisms remain elusive. In this article, we analyzed the key biomarkers and pathways in glioblastoma patients based on gene expression and DNA methylation datasets. The 60 hypomethylated/upregulated genes and 110 hypermethylated/downregulated genes were identified in GSE50923, GSE50161, and GSE116520 microarrays. Functional enrichment analyses indicated that these methylated-differentially expressed genes were primarily involved in collagen fibril organization, chemical synaptic transmission, extracellular matrix-receptor interaction, and GABAergic synapse. The hub genes were screened from a protein-protein interaction network; in selected genes, increased NMB mRNA level was associated with favorable overall survival, while elevated CHI3L1, POSTN, S100A4, LOX, S100A11, IGFBP2, SLC12A5, VSNL1, and RGS4 mRNA levels were associated with poor overall survival in glioblastoma patients. Additionally, CHI3L1, S100A4, LOX, and ...Continue Reading

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Citations

Sep 25, 2020·Scientific Reports·Xueran ChenZhiyou Fang

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Datasets Mentioned

BETA
GSE116520
GPL8490
GSE50161

Methods Mentioned

BETA
methylation profiling
GTPase
PCR
ChIP

Software Mentioned

GraphPad prism
DAVID
GraphPad
cBioPortal
GraphPad Pro
Cytoscape
GEPIA
CytoHubba

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