A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma

doi:10.1016/j.cca.2017.03.026

科研成果详情

题名	A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma
作者	Lin, Zhuo1; Cai, Yi-Jing1; Chen, Rui-Cong1; Chen, Bi-Cheng2; Zhao, Liang 2; Xu, Shi-Hao2; Wang, Xiao-Dong 1; Song, Mei 1; Wu, Jian-Min3; Wang, Yu-Qun1; Zhou, Meng-Tao4; Shi, Ke-Qing1
发表日期	2017-06
发表期刊	CLINICA CHIMICA ACTA 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Hepatocellular carcinoma MicroRNA Vascular invasion The Cancer Genome Atlas Time-dependent receiver operating characteristic
其他关键词	PENALIZED LOGISTIC-REGRESSION ; MICROVASCULAR INVASION ; RNA ; VALIDATION ; SIGNATURE ; MIGRATION ; NETWORK ; DISEASE ; SYSTEM
摘要	Background: The presence of vascular invasion (VI) in pathology specimens is a well-known unfavorable prognostic factor of hepatocellular carcinoma (HCC) recurrence and overall survival (OS). We investigated the vascular invasion related microRNA (miRNA) expression profiles and potential of prognostic value in HCC. Methods: miRNA and mRNA expression data for HCC were accessed from The Cancer Genome Atlas (TCGA). LASSO logistic regression models were used to develop a miRNA-based classifier for predicting VI. The predictive capability was accessed by area under receiver operating characteristics (AUG). Concordance index (C-index) and time-dependent receiver operating characteristic (td-ROC) were used to determine its prognostic value. We validated the predictive and prognostic accuracy of this classifier in an external independent cohort of 127 patients. Functionally relevant targets of miRNAs were determined using miRNA target prediction, experimental validation and correlation of miRNA and mRNA expression data. Results: A 16-miRNA-based classifier was developed which identified VI accurately, with AUC of 0.731 and 0.727 in TCGA set and validation cohort, respectively. C-index and td-ROC showed that the classifier was able to stratify patients into risk groups strongly associated with OS. When stratified by tumor characteristics, the classifier was still a clinically and statistically significant prognostic model. The predictive and prognostic accuracy of the classifier was confirmed in validation cohort. Vascular invasion related miRNA/target pairs were identified by integrating expression patterns of predicted targets, which were validated in cell lines. Conclusions: A multi-miRNA-based classifier developed based on the presence of VI, which could effectively predict OS in HCC.
资助项目	Natural Science Foundation of Zhejiang ProvinceNatural Science Foundation of Zhejiang Province [LY16H160047]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81201589, 81472651]; Public Welfare Science and Technology Project of Wenzhou [Y20150307, Y20140718]; Provinces and Ministries Co-Contribution of Zhejiang, China [No.wkj-zj-1706]
出版者	ELSEVIER SCIENCE BV
出版地	AMSTERDAM
ISSN	0009-8981
EISSN	1873-3492
卷号	469 页码:171-179
DOI	10.1016/j.cca.2017.03.026
页数	9
WOS类目	Medical Laboratory Technology
WOS研究方向	Medical Laboratory Technology
WOS记录号	WOS:000401879100027
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	28365450
SCOPUSEID	2-s2.0-85017503127
通讯作者地址	[Zhou, Meng-Tao]Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
Scopus学科分类	Biochemistry;Clinical Biochemistry;Biochemistry (medical)
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/14896
专题	附属第一医院基因组医学研究院
通讯作者	Zhou, Meng-Tao
作者单位	1.Department of Hepatology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 2.Department of Ultrasonography,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 3.Institute of Genomic Medicine,Wenzhou Medical University,Wenzhou,China; 4.Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
第一作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
通讯作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Lin, Zhuo,Cai, Yi-Jing,Chen, Rui-Cong,et al. A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma[J]. CLINICA CHIMICA ACTA,2017,469:171-179.
APA	Lin, Zhuo., Cai, Yi-Jing., Chen, Rui-Cong., Chen, Bi-Cheng., Zhao, Liang., ... & Shi, Ke-Qing. (2017). A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma. CLINICA CHIMICA ACTA, 469, 171-179.
MLA	Lin, Zhuo,et al."A microRNA expression profile for vascular invasion can predict overall survival in hepatocellular carcinoma".CLINICA CHIMICA ACTA 469(2017):171-179.