Clinical and Translational Research
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. May 26, 2022; 10(15): 4737-4760
Published online May 26, 2022. doi: 10.12998/wjcc.v10.i15.4737
Glycolytic and fatty acid oxidation genes affect the treatment and prognosis of liver cancer
Jia-Yue Zou, Yu-Jie Huang, Jun He, Zu-Xiong Tang, Lei Qin
Jia-Yue Zou, Yu-Jie Huang, Jun He, Zu-Xiong Tang, Lei Qin, Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
Author contributions: Zou JY was responsible for data curation, methodology, and writing the original draft; Huang YJ was responsible for visualization and software; He J and Tang ZX were responsible for data collection and data curation; Qin L was responsible for writing, reviewing, and editing.
Supported by the Project of National Natural Science Foundation of China, No. 81802365 and 81802385; the Special Project of Clinical Key Diseases Treatment Technology in Suzhou, No. LCZX2019003; the City-Level Scientific Research Projects in Jiangsu Province, No. SLT201907; Major Projects of Provincial Universities in Jiangsu Province, No. 19KJA170002; Soochow University Horizontal Research Project, No. H190168.
Conflict-of-interest statement: Authors certify that there is no conflict of interest related to the manuscript.
Data sharing statement: No additional data are available.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Lei Qin, MD, Doctor, Professor, Department of General Surgery, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou 215006, Jiangsu Province, China. qinleihbps@163.com
Received: September 13, 2021
Peer-review started: September 13, 2021
First decision: January 23, 2022
Revised: February 2, 2022
Accepted: April 2, 2022
Article in press: April 2, 2022
Published online: May 26, 2022
Processing time: 253 Days and 0.9 Hours
Core Tip

Core Tip: Through cluster analysis, we divided liver cancer samples into four subgroups and compared survival and molecular biological differences between different subtypes. The median survival of the fatty acid oxidation group was significantly better than that of the glycolytic group. We used Lasso regression to reduce dimensionality and selected RAE1 and CTNNB1 for modelling. We found that the model can identify patients with a better response to anti-cancer drugs, such as Sorafenib and Paclitaxel, which can also guide clinical treatment.