A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients

doi:10.1002/jcla.23377

	A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients
	Jiang, Haitao 1,2,3; Zhao, Lianhe 4; Chen, Yunjie 1,2,3; Sun, Liang 4
	2020-05-30
发表期刊	JOURNAL OF CLINICAL LABORATORY ANALYSIS
ISSN	0887-8013
页码	9
摘要	Background Hepatocellular carcinoma (HCC) is a common neoplasm located in the liver. Accumulating evidence has highlighted that long noncoding RNAs (lncRNAs) are correlated with the survival of HCC patients. This study focuses on finding a lncRNA signature to predict the prognostic risk of HCC patients. Methods Statistical and machine learning analyses were conducted to analyze the lncRNA expression data and corresponding clinical data of 180 HCC patients collected from the public online Tanric and The Cancer Genome Atlas (TCGA) databases. Results From the training dataset, we obtained the four-lncRNA model comprising RP11-495K9.6, RP11-96O20.2, RP11-359K18.3, and LINC00556 which can divide HCC patients into two different groups with significantly different prognosis (n = 90, median 1.81, 95% confidence interval [CI]: 1.50-4.91 vs 8.56 years, 95% CI: 6.96-9.97, log-rank test P < .001). The test dataset confirmed the prognostic ability of the signature (n = 90, median 1.95, 95% CI: 1.14-4.08 vs 5.80 years, 95% CI: 3.11-6.82, log-rank test P = .007). Receiver operating characteristic curve displayed the better prediction efficiency of the four-lncRNA signature than the tumor/node/metastasis stage. Cox analysis showed the four-lncRNA signature was an independent predictor of HCC prognosis. Conclusion The four-lncRNA signature can be used as an independent biomarker for HCC patients to predict the prognostic risk.
关键词	biomarker hepatocellular carcinoma lncRNA prognostic signature
DOI	10.1002/jcla.23377
收录类别	SCI
语种	英语
资助项目	Ningbo Natural Science Foundation,China[2017A610149] ; Medical Scientific Research Foundation of Zhejiang Province,China[2018265085] ; Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province[2019E10020] ; Ningbo Clinical Research Center for Digestive System Tumors[2019A21003] ; National Natural Science Foundation of China[3197040656]
WOS研究方向	Medical Laboratory Technology
WOS类目	Medical Laboratory Technology
WOS记录号	WOS:000536326700001
出版者	WILEY
引用统计	被引频次：3[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/2XEOYT63/15349
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Yunjie; Sun, Liang
作者单位	1.Univ Chinese Acad Sci, HwaMei Hosp, Dept Gen Surg, Ningbo 315010, Peoples R China 2.Univ Chinese Acad Sci, Ningbo Inst Life & Hlth Ind, Ningbo, Peoples R China 3.Key Lab Diag & Treatment Digest Syst Tumors Zheji, Ningbo, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Haitao,Zhao, Lianhe,Chen, Yunjie,et al. A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients[J]. JOURNAL OF CLINICAL LABORATORY ANALYSIS,2020:9.
APA	Jiang, Haitao,Zhao, Lianhe,Chen, Yunjie,&Sun, Liang.(2020).A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients.JOURNAL OF CLINICAL LABORATORY ANALYSIS,9.
MLA	Jiang, Haitao,et al."A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients".JOURNAL OF CLINICAL LABORATORY ANALYSIS (2020):9.