A robust two-gene signature for glioblastoma survival prediction

doi:10.1002/jcb.29653

	A robust two-gene signature for glioblastoma survival prediction
	Pan, Yuhualei 1; Zhang, Jian-Hua 2; Zhao, Lianhe 3,4; Guo, Jin-Cheng 5; Wang, Song 1; Zhao, Yushang 1; Tao, Shaoxin 1; Wang, Huan 1; Zhu, Yan-Bing 1
	2020-01-21
发表期刊	JOURNAL OF CELLULAR BIOCHEMISTRY
ISSN	0730-2312
页码	13
摘要	Glioblastoma multiforme (GBM) is a highly malignant brain tumor. We explored the prognostic gene signature in 443 GBM samples by systematic bioinformatics analysis, using GSE16011 with microarray expression and corresponding clinical data from Gene Expression Omnibus as the training set. Meanwhile, patients from The Chinese Glioma Genome Atlas database (CGGA) were used as the test set and The Cancer Genome Atlas database (TCGA) as the validation set. Through Cox regression analysis, Kaplan-Meier analysis, t-distributed Stochastic Neighbor Embedding algorithm, clustering, and receiver operating characteristic analysis, a two-gene signature (GRIA2 and RYR3) associated with survival was selected in the GSE16011 dataset. The GRIA2-RYR3 signature divided patients into two risk groups with significantly different survival in the GSE16011 dataset (median: 0.72, 95% confidence interval [CI]: 0.64-0.98, vs median: 0.98, 95% CI: 0.65-1.61 years, logrank test P < .001), the CGGA dataset (median: 0.84, 95% CI: 0.70-1.18, vs median: 1.21, 95% CI: 0.95-2.94 years, logrank test P = .0017), and the TCGA dataset (median: 1.03, 95% CI: 0.86-1.24, vs median: 1.23, 95% CI: 1.04-1.85 years, logrank test P = .0064), validating the predictive value of the signature. And the survival predictive potency of the signature was independent from clinicopathological prognostic features in multivariable Cox analysis. We found that after transfection of U87 cells with small interfering RNA, GRIA2 and RYR3 influenced the biological behaviors of proliferation, migration, and invasion of glioblastoma cells. In conclusion, the two-gene signature was a robust prognostic model to predict GBM survival.
关键词	glioblastoma multiforme prognostic protein-coding genes signature
DOI	10.1002/jcb.29653
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[81771235]
WOS研究方向	Biochemistry & Molecular Biology ; Cell Biology
WOS类目	Biochemistry & Molecular Biology ; Cell Biology
WOS记录号	WOS:000508268600001
出版者	WILEY
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15005
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhu, Yan-Bing
作者单位	1.Capital Univ Med Sci, Beijing Friendship Hosp, Expt & Translat Res Ctr, Beijing 100050, Peoples R China 2.Peking Univ, Peoples Hosp, Dept Blood Transfus, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Beijing Univ Chinese Med, Sch Tradit Chinese Med, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Pan, Yuhualei,Zhang, Jian-Hua,Zhao, Lianhe,et al. A robust two-gene signature for glioblastoma survival prediction[J]. JOURNAL OF CELLULAR BIOCHEMISTRY,2020:13.
APA	Pan, Yuhualei.,Zhang, Jian-Hua.,Zhao, Lianhe.,Guo, Jin-Cheng.,Wang, Song.,...&Zhu, Yan-Bing.(2020).A robust two-gene signature for glioblastoma survival prediction.JOURNAL OF CELLULAR BIOCHEMISTRY,13.
MLA	Pan, Yuhualei,et al."A robust two-gene signature for glioblastoma survival prediction".JOURNAL OF CELLULAR BIOCHEMISTRY (2020):13.