A robust two-gene signature for glioblastoma survival prediction

doi:10.1002/jcb.29653

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	A robust two-gene signature for glioblastoma survival prediction
	Pan, Yuhualei 2; Zhang, Jian-Hua 3; Zhao, Lianhe 1,4; Guo, Jin-Cheng 5; Wang, Song 2; Zhao, Yushang 2; Tao, Shaoxin 2; Wang, Huan 2; Zhu, Yan-Bing 2
刊名	JOURNAL OF CELLULAR BIOCHEMISTRY
	2020-01-21
页码	13
关键词	glioblastoma multiforme prognostic protein-coding genes signature
ISSN号	0730-2312
DOI	10.1002/jcb.29653
英文摘要	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.
资助项目	National Natural Science Foundation of China[81771235]
WOS研究方向	Biochemistry & Molecular Biology ; Cell Biology
语种	英语
出版者	WILEY
WOS记录号	WOS:000508268600001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/15004]
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.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Capital Univ Med Sci, Beijing Friendship Hosp, Expt & Translat Res Ctr, Beijing 100050, Peoples R China 3.Peking Univ, Peoples Hosp, Dept Blood Transfus, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, 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.