A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients

doi:10.1002/jcp.29245

	A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients
	Fang, Shuang-Sang 1,2,3; Guo, Jin-Cheng 1,2,3; Zhang, Jian-Hua 4; Liu, Jin-Na 3; Hong, Shuai 3; Yu, Bo 3; Gao, Yuhan 4; Hu, Su-Pei 1; Liu, Hai-Zhong 1; Sun, Liang 1,3; Zhao, Yi 1,2,3
	2019-09-25
发表期刊	JOURNAL OF CELLULAR PHYSIOLOGY
ISSN	0021-9541
页码	10
摘要	Studies have shown that microRNAs (miRNAs) play a vital role in tumor progression and patients' prognosis. Therefore, we aimed to construct a miRNA model for forecasting the survival of hepatocellular carcinoma (HCC) patients. The gene expression data of 433 patients with HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus public databases were remined by survival analysis and receptor manipulation characteristic curve (ROC). A prognostic model including six miRNAs (hsa-mir-26a-1-3p, hsa-mir-188-5p, hsa-mir-212-5p, hsa-mir-149-5p, hsa-mir-105-5p, and hsa-mir-132-5p) were constructed in the training dataset (TCGA, n = 333). HCC patients were stratified into a high-risk group and a low-risk group with significantly different survival (median: 2.75 vs. 8.93 years, log-rank test p < .001). Then we proved its performance of stratification in another independent dataset (GSE116182, median: 2.55 vs 6.96 years, log-rank test p = .008). Cox regression analysis showed that the prognostic model was an independent prognostic indicator for HCC patients. Then time-dependent ROC analyses were performed to test the prognostic ability of the model with that of TNM staging, we found the model had a better performance, especially at 5 years (AUC = 0.76). Functional prediction showed that the genes targeted by the six prognostic miRNAs in the prognostic model were highly expressed in the P53-related pathway. In conclusion, we constructed a prognostic miRNA model that could indicate the survival of HCC patients.
关键词	hepatocellular carcinoma microRNA prognostic model survival
DOI	10.1002/jcp.29245
收录类别	SCI
语种	英语
资助项目	Ningbo Hua Mei fund ; National Natural Science Foundation of China[31700767] ; National Youth Science Fund[31501066]
WOS研究方向	Cell Biology ; Physiology
WOS类目	Cell Biology ; Physiology
WOS记录号	WOS:000488008700001
出版者	WILEY
引用统计	被引频次：18[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/2XEOYT63/4672
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Hai-Zhong; Sun, Liang; Zhao, Yi
作者单位	1.Univ Chinese Acad Sci, Hwa Mei Hosp, Ningbo 315010, Zhejiang, Peoples R China 2.Beijing Univ Chinese Med, Sch Tradit Chinese Med, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 4.Peking Univ, Dept Blood Transfus, Peoples Hosp, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Fang, Shuang-Sang,Guo, Jin-Cheng,Zhang, Jian-Hua,et al. A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients[J]. JOURNAL OF CELLULAR PHYSIOLOGY,2019:10.
APA	Fang, Shuang-Sang.,Guo, Jin-Cheng.,Zhang, Jian-Hua.,Liu, Jin-Na.,Hong, Shuai.,...&Zhao, Yi.(2019).A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients.JOURNAL OF CELLULAR PHYSIOLOGY,10.
MLA	Fang, Shuang-Sang,et al."A P53-related microRNA model for predicting the prognosis of hepatocellular carcinoma patients".JOURNAL OF CELLULAR PHYSIOLOGY (2019):10.