A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients

doi:10.1002/jcp.27818

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 novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients
	Hong, Shuai 2; Wang, Song 4; Zhang, Jian-Hua 3; Wang, Huan 4; Yang, Lu 4; Yu, Bo 2; Guo, Jin-Cheng 2; Liu, Jing 1; Zhu, Yan-Bing 4
刊名	JOURNAL OF CELLULAR PHYSIOLOGY
	2019-07-01
卷号	234 期号:7 页码:11610-11619
关键词	hepatocellular carcinoma microRNAs prognostic protein-coding genes signature
ISSN号	0021-9541
DOI	10.1002/jcp.27818
英文摘要	The abnormal expression of microRNAs (miRNAs) or protein-coding genes (PCGs) have been found to be associated with the prognosis of hepatocellular carcinoma (HCC) patients. Using bioinformatics analysis methods including Cox's proportional hazards regression analysis, the random survival forest algorithm, Kaplan-Meier, and receiver operating characteristic (ROC) curve analysis, we mined the gene expression profiles of 469 HCC patients from The Cancer Genome Atlas (n=379) and Gene Expression Omnibus (GSE14520; n=90) public database. We selected a signature comprising one protein-coding gene (PCG; DNA polymerase ) and three miRNAs (hsa-miR-149-5p, hsa-miR-424-5p, hsa-miR-579-5p) with highest accurate prediction (area under the ROC curve [AUC]=0.72; n=189) from the training data set. The signature stratified patients into high- and low-risk groups with significantly different survival (median 27.9 vs. 55.2 months, log-rank test, p<0.001) in the training data set, and its risk stratification ability were validated in the test data set (median 47.4 vs. 84.4 months, log-rank test, p=0.03) and an independent data set (median 31.0 vs. 46.0 months, log-rank test, p=0.01). Multivariable Cox regression analysis showed that the signature was an independent prognostic factor. And the signature was proved to have a better survival prediction power than tumor-node-metastasis (TNM) stage (AUC (signature)=0.72/0.64/0.62 vs. AUC (TNM)=0.65/0.61/0.61; p<0.05). Moreover, we validated the expression of these prognostic genes from the PCG-miRNA signature in Huh-7 cell by real-time polymerase chain reaction. In conclusion, we found a signature that can predict survival of HCC patients and serve as a prognostic marker for HCC.
资助项目	National Natural Science Foundation of China[81771235]
WOS研究方向	Cell Biology ; Physiology
语种	英语
出版者	WILEY
WOS记录号	WOS:000462645700156
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/4279]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Guo, Jin-Cheng; Liu, Jing; Zhu, Yan-Bing
作者单位	1.Northwest Univ, Coll Life Sci, Xian 710069, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Key Lab Intelligent Informat Proc, Beijing 100000, Peoples R China 3.Peking Univ, Peoples Hosp, Dept Blood Transfus, Beijing, Peoples R China 4.Capital Univ Med Sci, Beijing Friendship Hosp, Expt & Translat Res Ctr, Beijing 100050, Peoples R China
推荐引用方式 GB/T 7714	Hong, Shuai,Wang, Song,Zhang, Jian-Hua,et al. A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients[J]. JOURNAL OF CELLULAR PHYSIOLOGY,2019,234(7):11610-11619.
APA	Hong, Shuai.,Wang, Song.,Zhang, Jian-Hua.,Wang, Huan.,Yang, Lu.,...&Zhu, Yan-Bing.(2019).A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients.JOURNAL OF CELLULAR PHYSIOLOGY,234(7),11610-11619.
MLA	Hong, Shuai,et al."A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients".JOURNAL OF CELLULAR PHYSIOLOGY 234.7(2019):11610-11619.