Clinical and Translational Research
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Aug 26, 2024; 12(24): 5568-5582
Published online Aug 26, 2024. doi: 10.12998/wjcc.v12.i24.5568
Computed tomography-based radiomics predicts the fibroblast-related gene EZH2 expression level and survival of hepatocellular carcinoma
Ting-Yu Yu, Ze-Juan Zhan, Qi Lin, Zhen-Huan Huang
Ting-Yu Yu, Ze-Juan Zhan, Qi Lin, Zhen-Huan Huang, Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian Province, China
Co-first authors: Ting-Yu Yu and Ze-Juan Zhan.
Author contributions: Yu TY and Zhan ZJ contributed to the conception and design; Yu TY, Lin Q, and Huang ZH contributed to the collection and assembly of data; Zhan ZJ and Huang ZH analyzed and interpreted the data; All authors wrote and approved the final manuscript.
Conflict-of-interest statement: There are no conflicts of interest to report.
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: Zhen-Huan Huang, MD, Associate Chief Physician, Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 Jiu Yi North Road, Xin Luo District, Longyan 364000, Fujian Province, China. tuxuezhao@163.com
Received: April 9, 2024
Revised: May 21, 2024
Accepted: June 12, 2024
Published online: August 26, 2024
Processing time: 93 Days and 1.6 Hours
Core Tip

Core Tip: This study integrated radiomics molecular analysis based on computed tomography images. It aimed to identify important molecular biomarkers associated with hepatocellular carcinoma (HCC), particularly EZH2, and establish a radiomics model to predict EZH2 expression and its association with the prognosis of HCC patients. The results of this study demonstrated a close correlation between the radiomics model, EZH2 expression, and HCC patient prognosis, suggesting that a radiomics analysis can provide additional molecular information and offer a new approach to clinical treatment of HCC.