Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing

doi:10.1093/jmcb/mjz025

	Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing
	Lu, Yiyu 1; Fang, Zhaoyuan 2; Li, Meiyi 2,6; Qian, Chen 1; Zeng, Tao 2; Lu, Lina 2; Chen, Qilong 1; Zhang, Hui 1; Zhou, Qianmei 1; Sun, Yan 4; Xue, Xuefeng 4; Hu, Yiyang 5; Chen, Luonan2,3,7,8 ; Su, Shibing 1
	2019-08
发表期刊	JOURNAL OF MOLECULAR CELL BIOLOGY
ISSN	1674-2788
EISSN	1759-4685
卷号	11 期号:8 页码:665-677
发表状态	已发表
DOI	10.1093/jmcb/mjz025
摘要	Hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths in Asia and Africa. Developing effective and non-invasive biomarkers of HCC for individual patients remains an urgent task for early diagnosis and convenient monitoring. Analyzing the transcriptomic profiles of peripheral blood mononuclear cells from both healthy donors and patients with chronic HBV infection in different states (i.e. HBV carrier, chronic hepatitis B, cirrhosis, and HCC), we identified a set of 19 candidate genes according to our algorithm of dynamic network biomarkers. These genes can both characterize different stages during HCC progression and identify cirrhosis as the critical transition stage before carcinogenesis. The interaction effects (i.e. co-expressions) of candidate genes were used to build an accurate prediction model: the so-called edge-based biomarker. Considering the convenience and robustness of biomarkers in clinical applications, we performed functional analysis, validated candidate genes in other independent samples of our collected cohort, and finally selected COL5A1, HLA-DQB1, MMP2, and CDK4 to build edge panel as prediction models. We demonstrated that the edge panel had great performance in both diagnosis and prognosis in terms of precision and specificity for HCC, especially for patients with alpha-fetoprotein-negative HCC. Our study not only provides a novel edge-based biomarker for non-invasive and effective diagnosis of HBV-associated HCC to each individual patient but also introduces a new way to integrate the interaction terms of individual molecules for clinical diagnosis and prognosis from the network and dynamics perspectives.
关键词	hepatitis B virus hepatocellular carcinoma diagnosis and prognosis edge-based biomarker dynamic network biomarker
URL	查看原文
收录类别	SCI ; SCIE
语种	英语
资助项目	'Yang Fan' Program of Shanghai Committee of Science and Technology Fund Annotation[14YF1411400] ; 'Yang Fan' Program of Shanghai Committee of Science and Technology Fund Annotation[18YF1420700]
WOS研究方向	Cell Biology
WOS类目	Cell Biology
WOS记录号	WOS:000493042300005
出版者	OXFORD UNIV PRESS
WOS关键词	DIFFERENTIAL GENE-EXPRESSION ; MATRIX METALLOPROTEINASES ; PROGNOSTIC-SIGNIFICANCE ; MONONUCLEAR-CELLS ; CDK4 EXPRESSION ; CANCER ; DIAGNOSIS ; COLLAGEN ; NETWORK ; PROTEIN
原始文献类型	Article
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/80546
专题	生命科学与技术学院_特聘教授组_陈洛南组
通讯作者	Hu, Yiyang; Chen, Luonan; Su, Shibing
作者单位	1.Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Integrat Med Res, Shanghai 201203, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Biochem & Cell Biol, Key Lab Syst Biol,Ctr Excellence Mol Cell Sci, Shanghai 200031, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China 4.Qidong Liver Canc Inst, Qidong Peoples Hosp, Qidong 226200, Peoples R China 5.Shanghai Univ Tradit Chinese Med, Inst Liver Dis, Shuguang Hosp, Shanghai 201203, Peoples R China 6.Fudan Univ, Minhang Branch, Zhongshan Hosp, Inst Fudan Minhang Acad Hlth Syst,Minhang Hosp, Shanghai 201199, Peoples R China 7.Shanghai Tech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China 8.Res Ctr Brain Sci & Brain Inspired Intelligence, Shanghai 201210, Peoples R China
通讯作者单位	生命科学与技术学院
推荐引用方式 GB/T 7714	Lu, Yiyu,Fang, Zhaoyuan,Li, Meiyi,et al. Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing[J]. JOURNAL OF MOLECULAR CELL BIOLOGY,2019,11(8):665-677.
APA	Lu, Yiyu.,Fang, Zhaoyuan.,Li, Meiyi.,Qian, Chen.,Zeng, Tao.,...&Su, Shibing.(2019).Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing.JOURNAL OF MOLECULAR CELL BIOLOGY,11(8),665-677.
MLA	Lu, Yiyu,et al."Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing".JOURNAL OF MOLECULAR CELL BIOLOGY 11.8(2019):665-677.