Copyright
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 14, 2025; 31(14): 104588
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104588
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104588
Prognostic scoring system using inflammation- and nutrition-related biomarkers to predict prognosis in stage I-III colorectal cancer patients
Ke-Jin Li, Zi-Yi Zhang, Kuan Wang, Subinur Sulayman, Xiang-Yue Zeng, Juan Liu, Ze-Liang Zhao, Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830000, Xinjiang Uygur Autonomous Region, China
Yi Chen, Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Oncology, Urumqi 830000, Xinjiang Uygur Autonomous Region, China
Co-corresponding authors: Yi Chen and Ze-Liang Zhao.
Author contributions: Li KJ wrote the original draft; Li KJ, Zeng XY and Zhang ZY contributed to the data analysis; Zhao ZL led the quality assessments; Wang K, Subinur S, Liu J and Chen Y collected the data; All authors have agreed on the manuscript to be submitted. Chen Y and Zhao ZL contributed to the study design and supervision. Chen Y and Zhao ZL contribute equally to this study as co-corresponding authors.
Supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region, No. 2022D01C297.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of the Affiliated Cancer Hospital of Xinjiang Medical University, Approval No. K-2024056.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at zlzhao71@163.com. Participants gave informed consent for data sharing.
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: Ze-Liang Zhao, MD, PhD, Professor, Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, No. 789 Suzhou East Street, Xinshi District, Urumqi 830000, Xinjiang Uygur Autonomous Region, China.
Received: December 25, 2024
Revised: February 22, 2025
Accepted: March 21, 2025
Published online: April 14, 2025
Processing time: 107 Days and 10.2 Hours
Revised: February 22, 2025
Accepted: March 21, 2025
Published online: April 14, 2025
Processing time: 107 Days and 10.2 Hours
Core Tip
Core Tip: This study developed a nomogram incorporating inflammatory and nutritional biomarkers to predict the overall survival of patients with colorectal cancer (CRC). The nomogram, which is based on a risk score derived from four selected biomarkers, demonstrated high prognostic accuracy and clinical utility. This information can help guide treatment decisions and personalize follow-up strategies, ultimately improving long-term outcomes for CRC patients.