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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Nov 15, 2025; 17(11): 110675
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.110675
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.110675
Construction of a prognostic model for colorectal cancer liver metastasis: A retrospective study based on population data
Mian-Jiao Xie, Ji-Peng Li, Department of Experimental Surgery, Xijing Hospital, Air Force Medical University, Xi’an 710032, Shaanxi Province, China
Jia-Jun Li, Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu 610000, Sichuan Province, China
Ya-Jie Guo, Qi Wang, Zhao-Bang Tan, Yun-Long Li, Ji-Peng Li, Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi’an 710032, Shaanxi Province, China
Co-first authors: Mian-Jiao Xie and Jia-Jun Li.
Co-corresponding authors: Yun-Long Li and Ji-Peng Li.
Author contributions: Li JP and Li YL designed the study; Xie MJ and Li JJ jointly completed the statistical analysis and manuscript preparation; Guo YJ, Wang Q and Tan ZB helped perform the analysis with constructive discussions. All authors contributed to the article and approved the submitted version. Xie MJ and Li JJ declare that they contributed equally to this work and should be considered co-first authors. They were involved in all aspects of the study, including study design, data analysis, and manuscript preparation. Similarly, Li JP and Li YL provided equal guidance and mentorship throughout the research process and should be considered co-corresponding authors. They were responsible for the overall direction and execution of the study, as well as final approval of the manuscript.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Xijing Hospital, the First Affiliated Hospital of Air Force Military Medical University (Approval number: KY20232168-F-1). This study, which is in compliance with the Helsinki Declaration, obtained informed consent from all participants.
Informed consent statement: All data sources obtained in this study received informed consent from the patients.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The original contributions presented in the study are included in the article/Supplementary material. Further inquiries can be directed to the corresponding authors at jipengli1974@aliyun.com.
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: Ji-Peng Li, Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Air Force Medical University, No. 127 Changle West Road, Xincheng District, Xi’an 710032, Shaanxi Province, China. jipengli1974@aliyun.com
Received: June 12, 2025
Revised: July 18, 2025
Accepted: October 9, 2025
Published online: November 15, 2025
Processing time: 155 Days and 11.1 Hours
Revised: July 18, 2025
Accepted: October 9, 2025
Published online: November 15, 2025
Processing time: 155 Days and 11.1 Hours
Core Tip
Core Tip: This study presents a novel nomogram for predicting overall survival in patients with colorectal cancer (CRC) liver metastasis post-surgery. In a retrospective cohort analysis of 1059 patients, we identified key prognostic factors including gamma-glutamyl transferase, blood chloride concentration, activated partial thromboplastin time, N stage, and vascular invasion. The nomogram demonstrated robust predictive accuracy with area under the curve values exceeding 0.7 in both training and validation cohorts. These findings offer a clinically relevant tool for personalized risk assessment and treatment planning in CRC liver metastasis, potentially improving patient outcomes.