Copyright
©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 14, 2019; 25(30): 4199-4212
Published online Aug 14, 2019. doi: 10.3748/wjg.v25.i30.4199
Published online Aug 14, 2019. doi: 10.3748/wjg.v25.i30.4199
Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosis
Xiao-Na Liu, Dan-Ni Cui, Yu-Fang Li, Yun-He Liu, Gang Liu, Lei Liu, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
Author contributions: Liu XN, Cui DN, and Li YF contributed equally to the work; Liu G and Liu L contributed equally to the work; Liu XN, Cui DN, Li YF and Liu G drafted the initial manuscript; Liu YH produced the figures; Liu G conceptualized and designed the review; Liu G and Liu L reviewed the manuscript.
Supported by the National Key Research and Development Program of China , No. 2016YFC0901903 .
Conflict-of-interest statement: The authors have no conflict of interest to declare.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Lei Liu, PhD, Professor, Institutes of Biomedical Sciences, Fudan University, No. 131 Dongan Rd, Shanghai 200032, China. liulei_sibs@163.com
Telephone: +86-21-54237325Fax: +86-21-54237325
Received: April 10, 2019
Peer-review started: April 10, 2019
First decision: May 9, 2019
Revised: May 28, 2019
Accepted: July 2, 2019
Article in press: July 3, 2019
Published online: August 14, 2019
Processing time: 128 Days and 7.6 Hours
Peer-review started: April 10, 2019
First decision: May 9, 2019
Revised: May 28, 2019
Accepted: July 2, 2019
Article in press: July 3, 2019
Published online: August 14, 2019
Processing time: 128 Days and 7.6 Hours
Core Tip
Core tip: Compared to traditional biomarkers, high throughput technologies provide novel insights and mechanistic understanding of hepatocellular carcinoma (HCC). In this article, recent genomic, epigenomic, transcriptomic, proteomic, metabolomics, and metagenomics based HCC diagnostic biomarkers and their performance was evaluated. The advantages and disadvantages of these HCC diagnostic biomarkers are also discussed.