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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Jul 15, 2025; 17(7): 105403
Published online Jul 15, 2025. doi: 10.4251/wjgo.v17.i7.105403
Published online Jul 15, 2025. doi: 10.4251/wjgo.v17.i7.105403
Predictive value of a nomogram model for treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Qiong-Ya Guo, Lin Fu, Shan-Shan Hu, Department of Gastroenterology, Henan Provincial People’s Hospital, Zhengzhou 450003, Henan Province, China
Wei Zhang, Department of Gastrointestinal Surgery, Henan Provincial People’s Hospital, Zhengzhou 450003, Henan Province, China
Lin Li, Department of Emergency Medicine, Henan Provincial People’s Hospital, Zhengzhou 450003, Henan Province, China
Author contributions: Guo QY, Zhang W, Fu L, Hu SS, and Li L contributed to the conceptualization of the study; Guo QY, Zhang W, Fu L were responsible for data curation; Guo QY, Zhang W, Hu SS, conducted the formal analysis; Guo QY, Fu L, Hu SS, and Li L contributed to develop methodology; Guo QY, Zhang W, Fu L, Hu SS contributed to resources and software management; Guo QY and Li L contributed to write the original draft, reviewed and edited the manuscript.
Institutional review board statement: This retrospective study was approved by the Ethics Committee of Henan Provincial People’s Hospital (No. 2023-1-137).
Informed consent statement: Written informed consent for publication was obtained from all patients or their families.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: The data sets generated and analyzed during this study are not public, but under reasonable requirements, the correspondence author can provide.
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: Lin Li, MD, Doctor, Department of Emergency Medicine, Henan Provincial People’s Hospital, No. 7 Weiwu Road, Jinshui District, Zhengzhou 450003, Henan Province, China. lilin7002@126.com
Received: January 21, 2025
Revised: April 20, 2025
Accepted: June 11, 2025
Published online: July 15, 2025
Processing time: 174 Days and 22.7 Hours
Revised: April 20, 2025
Accepted: June 11, 2025
Published online: July 15, 2025
Processing time: 174 Days and 22.7 Hours
Core Tip
Core Tip: Despite advancements in the use of neoadjuvant chemoradiotherapy (nCRT) to improve resectability and outcomes in locally advanced rectal cancer, predicting treatment response remains challenging. We identified key biomarkers: C-reactive protein, interleukin-6, and carcinoembryonic antigen, as independent predictors of poor response to nCRT. Using these factors, we constructed a nomogram model that demonstrated high predictive accuracy (area under the curve = 0.928), good calibration, and strong clinical utility as confirmed by decision curve analysis.