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©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jan 14, 2019; 25(2): 220-232
Published online Jan 14, 2019. doi: 10.3748/wjg.v25.i2.220
Published online Jan 14, 2019. doi: 10.3748/wjg.v25.i2.220
Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma
Jing-Xian Gu, Xing Zhang, Run-Chen Miao, Xiao-Hong Xiang, Yu-Nong Fu, Jing-Yao Zhang, Chang Liu, Kai Qu, Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi Province, China
Author contributions: Gu JX and Qu K designed the research; Gu JX, Zhang X, and Miao RC collected and analyzed data; Xiang XH and Fu YN constructed the figures; Gu JX, Zhang JY, Liu C, and Qu K drafted and revised the manuscript.
Supported by The National Natural Science Foundation of China , No. 81773128 and No. 81871998 ; the Natural Science Basic Research Plan in Shaanxi Province of China , No. 2017JM8039 ; China Postdoctoral Science Foundation , No. 2018m641000 ; and Research Fund for Young Star of Science and Technology in Shaanxi Province , No. 2018KJXX-022 .
Conflict-of-interest statement: None.
Data sharing statement: The data used in this manuscript are accessible through https://www.ncbi.nlm.nih.gov/geo/ and https://portal.gdc.cancer.gov/.
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: Kai Qu, PhD, MD, Associated Professor, Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi Province, China. qukai@xjtu.edu.cn
Telephone: +86-13609117104 Fax: +86-29-85323900
Received: October 10, 2018
Peer-review started: October 12, 2018
First decision: November 15, 2018
Revised: December 5, 2018
Accepted: December 19, 2018
Article in press: December 20, 2018
Published online: January 14, 2019
Peer-review started: October 12, 2018
First decision: November 15, 2018
Revised: December 5, 2018
Accepted: December 19, 2018
Article in press: December 20, 2018
Published online: January 14, 2019
Core Tip
Core tip: In this study, we constructed a six-lncRNA signature that could predict the recurrence-free survival (RFS) of hepatocellular carcinoma (HCC) via a novel formulation method - the least absolute shrinkage and selection operator (LASSO). LASSO, based on penalized regression, can handle all the independent variables simultaneously, which has been demonstrated to be more accurate than stepwise regression. This lncRNA-signature was further validated and developed in another independent dataset from The Cancer Genome Atlas project. Our risk score system showed great utility in predicting the RFS of HCC and provided extra evidence for guiding targeted treatment of HCC.