Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastroenterol. Aug 14, 2026; 32(30): 119360
Published online Aug 14, 2026. doi: 10.3748/wjg.119360
Published online Aug 14, 2026. doi: 10.3748/wjg.119360
Preoperative immunonutrition status predicts survival after colorectal cancer resection: Nomogram based on modified systemic inflammation score
Kuan Wang, Xiang-Yue Zeng, Ze-Liang Zhao, Department of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
Bo-Xiang Zhang, Yi Chen, Cancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
Ke-Jin Li, Department of Oncology, Nanfang Hospital, Southern Medical University, Guang
Jun-Min Guan, Department of Gastrointestinal Oncology Surgery, Gastroenterology Center, People’s Hospital of Bortala Mongolian Autonomous Prefecture, Bole City 833499, Xinjiang Uygur Autonomous Region, China
Bo-Yang Li, Ze-Hao Hong, Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Yi Chen, Xinjiang Key Laboratory of Translational Biomedical Engineering, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
Co-first authors: Kuan Wang and Bo-Xiang Zhang.
Co-corresponding authors: Ze-Liang Zhao and Yi Chen.
Author contributions: Zhao ZL and Chen Y contributed to study concept and design; Wang K, Li KJ, Guan JM, Zeng XY, Li BY and Hong ZH collected clinical data; Wang K and Zhang BX performed data analysis and interpretation; Wang K drafted the manuscript; Chen Y and Zhao ZL critically revised the manuscript for important intellectual content and supervised the study; Wang K and Zhang BX contributed equally to this work as co-first authors; Zhao ZL and Chen Y contributed equally to this work as co-corresponding authors; and all authors approved the final version to be published.
AI contribution statement: No AI writing tools, including ChatGPT, Grammarly, DeepL, or any similar tools, were used at any stage of manuscript preparation. The entirety of the manuscript-including the Abstract, Introduction, Materials and Methods, Results, Discussion, and Conclusion-was written entirely by the authors. No portion of the main text was AI-generated. No AI tools were used for language polishing, translation, data analysis, or any form of writing assistance. All language editing and revision were performed manually by the authors. The study was independently designed, conducted, and interpreted by the research team. No AI tools participated in any aspect of study design or result interpretation. All figures in the manuscript were generated using standard statistical software (SPSS and R). No AI tools were used to generate any images or figures.
Supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region, No. 2022D01C297.
Institutional review board statement: The study was authorized by the Ethics Committee of Xinjiang Medical University Cancer Hospital (approval No. K-2024056) and the Ethics Committee of People’s Hospital of Bortala Mongolian Autonomous Prefecture (approval No. LLSH20241221), in accordance with the Declaration of Helsinki.
Informed consent statement: All study participants or their legal guardian provided written informed consent for the collection and use of clinical and personal data prior to study enrollment.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
STROBE statement: The authors have read the STROBE Statement—a checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-a checklist of items.
Data sharing statement: Technical appendix, statistical code, and dataset are available from the corresponding author at
Corresponding author: Yi Chen, MD, Professor, Cancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, No. 789 Suzhou East Street, Xinshi District, Urumqi 830011, Xinjiang Uygur Autonomous Region, China. chenyicsu@outlook.com
Received: January 27, 2026
Revised: April 7, 2026
Accepted: April 17, 2026
Published online: August 14, 2026
Processing time: 177 Days and 11.7 Hours
Revised: April 7, 2026
Accepted: April 17, 2026
Published online: August 14, 2026
Processing time: 177 Days and 11.7 Hours
Core Tip
Core Tip: This study developed and externally validated a nomogram integrating multiple hematological indicators reflecting immune-nutritional status and systemic inflammation to predict overall survival after curative resection for colorectal cancer. The model demonstrated robust predictive performance in both the training and external validation cohorts. As a simple and readily generalizable tool, it may facilitate postop