Home LiteratureArticle Details
PMID: 30535433 Published · ppublish English Journal Article

Ten genes associated with MGMT promoter methylation predict the prognosis of patients with glioma.

Oncology reports ·Vol. 41 ·No. 2 ·2019-02-00 ·页码 908-916

Zhang Y, Zhu J

Abstract

Glioma originates from the glial cells of the spine or brain, and promoter methylation of O6‑methylguanine‑DNA methyltransferase (MGMT) can promote the chemosensitivity of glioma. The present study aimed to reveal the key genes implicated in MGMT promoter methylation in patients with glioma. RNA‑sequencing data and methylation data for glioma were extracted from The Cancer Genome Atlas database. Following expression characteristic analysis and differential expression analysis using unsupervised hierarchical clustering and a rank sum test, the feature genes were identified between high and low methylation groups. Furthermore, multivariate survival analysis for the feature genes was performed using the survival package in R. Additionally, the independent glioma RNA expression datasets GSE7696 and GSE42669 were used to validate the prognostic efficiency of the gene combination. The results indicated that the prognosis of the low methylation group was significantly worse than that of the high methylation group. The ten genes corresponding to the cut‑off value of 0.56 (Rho GTPase‑activating protein 21, CECR2, histone acetyl‑lysine reader, endosulfine α, G‑patch domain‑containing 8, KIAA1109, MGMT, protocadherin β 13, selenoprotein M, sperm‑associated antigen 9 and WD repeat domain 6) were able to significantly predict prognosis and were differentially expressed between the two groups. Multivariate survival analysis suggested that the ten genes were effective for sample classification and prognostic prediction. Furthermore, the validation datasets confirmed the correlation of the ten genes with prognosis. In conclusion, these 10 genes may be mediated by MGMT promoter methylation in glioma. In addition, the ten‑gene combination may be associated with the prognosis of patients with glioma.

MeSH 主题词
Biomarkers, Tumor/genetics,metabolism Brain Neoplasms/genetics,mortality,pathology Computational Biology DNA Methylation/genetics DNA Modification Methylases/genetics,metabolism DNA Repair Enzymes/genetics,metabolism Datasets as Topic Gene Expression Profiling Glioma/genetics,mortality,pathology Humans Promoter Regions, Genetic/genetics Sequence Analysis, RNA Survival Analysis Tumor Suppressor Proteins/genetics,metabolism
化学物质
Biomarkers, Tumor Tumor Suppressor Proteins DNA Modification Methylases MGMT protein, human DNA Repair Enzymes
作者与单位
共 2 位作者,点击展开单位 / ORCID
Zhang Yang
Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University Medical College, Hangzhou, Zhejiang 310009, P.R. China.
Zhu Junwei
Department of Neurosurgery, The Fourth Affiliated Hospital of Zhejiang University Medical College, Yiwu, Zhejiang 322000, P.R. China.
Article Info
Journal
Oncology reports
Abbr.
Oncol Rep
ISSN
1791-2431
Published
2019-02-00
电子出版
2018-00-04
页码
908-916
Language
English
Country/Region
Greece
NLM ID
9422756
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]