A bioinformatic analysis study of m⁷G regulator-mediated methylation modification patterns and tumor microenvironment infiltration in glioblastoma.

ABSTRACT:

Background

Glioblastoma is one of the most common brain cancers in adults, and is characterized by recurrence and little curative effect. An effective treatment for glioblastoma patients remains elusive worldwide. 7-methylguanosine (m7G) is a common RNA modification, and its role in tumors has become a research hotspot.

Methods

By searching for differentially expressed genes related to m7G, we generated a prognostic signature via cluster analysis and established classification criteria of high and low risk scores. The effectiveness of classification was validated using the Non-negative matrix factorization (NMF) algorithm, and repeatedly verified using training and test groups. The dimension reduction method was used to clearly show the difference and clinical significance o

SUBMITTER: Wu X 

PROVIDER: S-EPMC9251941 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature