Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	53072
Country	China

Category	Biochemistry & Molecular Biology
Manuscript Type	Basic Study
Article Title	Potential microRNA panel for the diagnosis and prediction of overall survival of hepatocellular carcinoma with hepatitis B virus infection
Manuscript Source	Unsolicited Manuscript
All Author List	Qi Zhang, Hai-Feng Xu, Wen-Yue Song, Peng-Jun Zhang and Yong-Bo Song
Funding Agency and Grant Number	Funding Agency Grant Number National Key R&D Program of China 2016YFC0106604
Corresponding Author	Yong-Bo Song, PharmD, Associate Professor, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, No. 103 Wenhua Road, Shenhe District, Shenyang 110016, Liaoning Province, China. songyongbo@syphu.edu.cn
Key Words	Hepatitis B virus infection; Hepatocellular carcinoma; MicroRNAs; Cirrhosis; Biomarker; Tissue
Core Tip	Abnormal expression of microRNAs (miRNAs) may lead to an abnormal physiological state and disease, such as, kinds of cancers. We detect the levels of miR-375, miR-122, miR-143 and miR-224. By combination of the miRNA panels, the area under the curves of the receiver-operating-characteristic curve was 0.991. In addition, the four miRNAs (miR-375, miR-122, miR-143 and miR-224) may be helpful for early detection and prognosis of hepatocellular carcinoma.
Citation	Zhang Q, Xu HF, Song WY, Zhang PJ, Song YB. Potential microRNA panel for the diagnosis and prediction of overall survival of hepatocellular carcinoma with hepatitis B virus infection. World J Gastrointest Oncol 2020; 12(4): 383-393

Received	2019-12-22 11:24
Peer-Review Started	2019-12-22 11:24
To Make the First Decision
Return for Revision	2020-01-19 04:26
Revised	2020-02-06 00:34
Second Decision	2020-03-22 04:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-03-24 13:21
Articles in Press	2020-03-24 13:21
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-04-14 06:41

ISSN	1948-5204 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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/
Copyright	© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com