Xing XW, Huang X, Li WP, Wang MK, Yang JS. Clinical application value of long non-coding RNAs signatures of genomic instability in predicting prognosis of hepatocellular carcinoma. World J Gastrointest Surg 2024; 16(8): 2386-2392 [PMID: 39220063 DOI: 10.4240/wjgs.v16.i8.2386]
Corresponding Author of This Article
Ming-Ke Wang, MD, PhD, Associate Chief Physician, Department of Disease Control and Prevention, Naval Medical Center, Naval Medical University, No. 338 Huaihai West Road, Changning District, Shanghai 200052, China. wmke021@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Editorial
Open-Access Policy of This Article
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/
World J Gastrointest Surg. Aug 27, 2024; 16(8): 2386-2392 Published online Aug 27, 2024. doi: 10.4240/wjgs.v16.i8.2386
Clinical application value of long non-coding RNAs signatures of genomic instability in predicting prognosis of hepatocellular carcinoma
Xiao-Wen Xing, Xiao Huang, Wei-Peng Li, Ming-Ke Wang, Ji-Shun Yang
Xiao-Wen Xing, Xiao Huang, Wei-Peng Li, Ming-Ke Wang, Department of Disease Control and Prevention, Naval Medical Center, Naval Medical University, Shanghai 200052, China
Ji-Shun Yang, Medical Care Center, Naval Medical University, Shanghai 200052, China
Co-corresponding authors: Ming-Ke Wang and Ji-Shun Yang.
Author contributions: Wang MK and Yang JS conceptualized, designed, and revised the manuscript; Xing XW wrote the draft; Huang X and Li WP collected the literature. All authors have read and approved the final manuscript. Both Wang MK and Yang JS conceptualized, proposed, designed, and supervised the whole process of the article, and played important and indispensable roles in the manuscript preparation and revision as the co-corresponding authors.
Supported byThe National Key R&D Program of China (Key Special Project for Marine Environmental Security and Sustainable Development of Coral Reefs 2022-3.3), No. 2022YFC3103-004001; and Scientific Research Foundation of Shanghai Municipal Health Commission of Changning District, No. 20234Y038.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: Ming-Ke Wang, MD, PhD, Associate Chief Physician, Department of Disease Control and Prevention, Naval Medical Center, Naval Medical University, No. 338 Huaihai West Road, Changning District, Shanghai 200052, China. wmke021@163.com
Received: March 19, 2024 Revised: May 16, 2024 Accepted: June 5, 2024 Published online: August 27, 2024 Processing time: 150 Days and 2.2 Hours
Abstract
Hepatocellular carcinoma (HCC) presents challenges due to its high recurrence and metastasis rates and poor prognosis. While current clinical diagnostic and prognostic indicators exist, their accuracy remains imperfect due to their biological complexity. Therefore, there is a quest to identify improved biomarkers for HCC diagnosis and prognosis. By combining long non-coding RNA (lncRNA) expression and somatic mutations, Duan et al identified five representative lncRNAs from 88 lncRNAs related to genomic instability (GI), forming a GI-derived lncRNA signature (LncSig). This signature outperforms previously reported LncSig and TP53 mutations in predicting HCC prognosis. In this editorial, we comprehensively evaluate the clinical application value of such prognostic evaluation model based on sequencing technology in terms of cost, time, and practicability. Additionally, we provide an overview of various prognostic models for HCC, aiding in a comprehensive understanding of research progress in prognostic evaluation methods.
Core Tip: Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality globally, is characterized by high rates of recurrence and metastasis. Long non-coding RNAs related to genomic instability emerge as promising biomarkers for HCC prognosis. Here, we discuss their clinical significance as prognostic models and offer insights into ongoing efforts to develop diverse models, with an aim to enhance the scope of research on HCC prognosis and diagnosis.
