国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

《国家中心数据管理与共享系统操作说明书 —— 研究者部分》

Identification of IDH-mutant gliomas by a prognostic signature according to gene expression profiling

第一作者：Wang Qiangwei,Wang Zhiliang

通讯作者：Wang Zheng,You Gan,Jiang Tao

IDH-mutant gliomas mRNA prognostic signature timeR

基本信息

2018-08-15

已发表文章

发表杂志：Aging

发表类型: Research Paper

影响因子(IF): 5.515

PMID: 30115812 Pubmed原文链接 全文下载

主要研究背景及目的

方法

In total, 167 gliomas from Chinese Glioma Genome Atlas (CGGA) dataset were included for discovery. The Cancer Genome Atlas (TCGA) dataset was used for validation. R language was the main software environment for our statistical operation and graphics.

结论

We have identified a seven-gene signature that can provide a more accurate predictor of 3 years and 5 years for patients with IDH-mutant glioma. Moreover, the signature may potentially help neurosurgeons with the clinical personalized management of gliomas.

主要结果

We applied the Time-Dependent ROC Curve (timeROC) method to estimate the gene prediction accuracy of 3 years and 5 years in two datasets. Seven genes were selected for further analysis (AUC ≥ 0.7 in two datasets). A seven-gene enrichment score was established to predict the overall survival of 3 years and 5 years for IDH- mutant glioma patients. Moreover, the seven-gene signature was an independent prognostic indicator for patients with IDH-mutant glioma. Gene Ontology (GO) Analysis of associated genes revealed signature-related biological process of cell cycle and division.