A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma

doi:10.1016/j.cca.2020.02.001

科研成果详情

题名	A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma
作者	Ni, Fu-Biao 1; Lin, Zhuo2; Fan, Xu-Hui 3; Shi, Ke-Qing4; Ao, Jian-Yang5; Wang, Xiao-Dong 2; Chen, Rui-Cong2
发表日期	2020-05
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	Nomogram Hepatocellular carcinoma TCGA LASSO regression mRNA
其他关键词	LIVER-TRANSPLANTATION ; VASCULAR INVASION ; EXPRESSION ; SURVIVAL ; CANCER ; MESOHEPATECTOMY ; PROGRESSION ; RECURRENCE ; GABARAPL1 ; RISK
摘要	There is a lack of precise and clinical accessible model to predict the prognosis of hepatocellular carcinoma (HCC) in clinic practice currently. Here, an inclusive nomogram was developed by integrating genomic markers and clinicopathologic factors for predicting the outcome of patients with HCC. A total of 365 samples of HCC were obtained from the Cancer Genome Atlas (TCGA) database. The LASSO analysis was carried out to identify HCC-related mRNAs, and the multivariate Cox regression analysis was used to construct a genomic-clinicopathologic nomogram. As results, 9 mRNAs were finally identified as prognostic indicators, including RGCC, CDH15, XRN2, RAB3ILI, THEM4, PIF1, MANBA, FKTN and GABARAPL1, and used to establish a 9-mRNA classifier. Additionally, an inclusive nomogram was built up by combining the 9-mRNA classifier (P < 0.001) and clinicopathologic factors including age (P = 0.006) and metastasis (P < 0.001) to predict the mortality of HCC patients. Time-dependent receiver operating characteristic, index of concordance and calibration analyses indicated favorable accuracy of the model. Decision curve analysis suggested that appropriate intervention according to the established nomogram will bring net benefit when threshold probability was above 25%. The genomic-clinicopathologic model could be a reliable tool for predicting the mortality, helping determining the individualized treatment and probably improving HCC survival.
资助项目	Natural Science Foundations of Zhejiang Province, ChinaNatural Science Foundation of Zhejiang Province [LY17H160057, Y19H0300036, LY17H070005]; Provinces and Ministries Co-Contribution of Zhejiang, China [wkj-zj-1706]
出版者	ELSEVIER
出版地	AMSTERDAM
ISSN	0009-8981
EISSN	1873-3492
卷号	504 页码:88-97
DOI	10.1016/j.cca.2020.02.001
页数	10
WOS类目	Medical Laboratory Technology
WOS研究方向	Medical Laboratory Technology
WOS记录号	WOS:000521514600013
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	32032609
SCOPUSEID	2-s2.0-85079183017
通讯作者地址	[Wang, Xiao-Dong]Department of Infectious Diseases,The First Affiliated Hospital of Wenzhou Medical University,Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases,Hepatology Institute of Wenzhou Medical University,Wenzhou,325000,China
Scopus学科分类	Biochemistry;Clinical Biochemistry;Biochemistry (medical)
引用统计	被引频次：9[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/14813
专题	第一临床医学院（信息与工程学院）、附属第一医院_浙江省胰脏肝脏危重性疾病重点实验室第一临床医学院（信息与工程学院）、附属第一医院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_精准医学中心实验室
通讯作者	Wang, Xiao-Dong
作者单位	1.The First Affiliated Hospital of Wenzhou Medical University,Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province,Wenzhou,325000,China; 2.Department of Infectious Diseases,The First Affiliated Hospital of Wenzhou Medical University,Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases,Hepatology Institute of Wenzhou Medical University,Wenzhou,325000,China; 3.First School of Clinical Medicine,Wenzhou Medical University,Zhejiang,China; 4.Precision Medical Center Laboratory,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 5.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	Ni, Fu-Biao,Lin, Zhuo,Fan, Xu-Hui,et al. A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma[J]. CLINICA CHIMICA ACTA,2020,504:88-97.
APA	Ni, Fu-Biao., Lin, Zhuo., Fan, Xu-Hui., Shi, Ke-Qing., Ao, Jian-Yang., ... & Chen, Rui-Cong. (2020). A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma. CLINICA CHIMICA ACTA, 504, 88-97.
MLA	Ni, Fu-Biao,et al."A novel genomic-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinoma".CLINICA CHIMICA ACTA 504(2020):88-97.