| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| 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 |
| Category |
Mathematical & Computational Biology |
| Manuscript Type |
Basic Study |
| Article Title |
Cuproptosis-related long non-coding RNAs model that effectively predicts prognosis in hepatocellular carcinoma
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
En-Min Huang, Ning Ma, Tao Ma, Jun-Yi Zhou, Wei-Sheng Yang, Chuang-Xiong Liu, Ze-Hui Hou, Shuang Chen, Zhen Zong, Bing Zeng, Ying-Ru Li and Tai-Cheng Zhou |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Key Clinical Discipline, the Basic and Applied Basic Research Fund Project of Guangdong Province |
2021A1515410004 |
| National Natural Science Foundation of China |
81973858 |
| Science and Technology Plan Project of Qingyuan City |
2019A028 |
| Basic and Applied Basic Research Fund Project of Guangdong Province |
2019A1515011200 |
| Science and Technology Plan Project of Qingyuan City |
2019A028 |
|
| Corresponding Author |
Tai-Cheng Zhou, MD, PhD, Associate Professor, Doctor, Doctor, Surgeon, Surgical Oncologist, Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Street Address, Guangzhou 510655, Guangdong Province, China. zhoutch3@mail.sysu.edu.cn |
| Key Words |
Hepatocellular carcinoma; Cuproptosis; Long-chain non-coding RNAs; Prognosis; Tumor microenvironment; Immunotherapy |
| Core Tip |
Factors crucial to the regulation of cuproptosis remain unelucidated. Using transcriptome data from The Cancer Genome Atlas (TCGA-LIHC), we developed a cuproptosis- and prognosis-related long-chain non-coding RNAs signature (CupRLSig) for hepatocellular carcinoma. The high-risk group identified by CupRLSig was associated with poorer overall survival and progression-free survival. Less activation of natural killer cells and more infiltration of regulatory T cells in the high-risk group may explain the worse outcomes. Interestingly, based on checkpoint gene expression (CD276, CTLA-4, and PDCD-1) and tumor immune dysfunction and rejection, high-risk patients may respond better to immunotherapy. |
| Publish Date |
2022-10-14 12:54 |
| Citation |
Huang EM, Ma N, Ma T, Zhou JY, Yang WS, Liu CX, Hou ZH, Chen S, Zong Z, Zeng B, Li YR, Zhou TC. Cuproptosis-related long non-coding RNAs model that effectively predicts prognosis in hepatocellular carcinoma. World J Gastrointest Oncol 2022; 14(10): 1981-2003 |
| URL |
https://www.wjgnet.com/1948-5204/full/v14/i10/1981.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v14.i10.1981 |
