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World J Gastrointest Oncol. Nov 15, 2025; 17(11): 112981
Published online Nov 15, 2025. doi: 10.4251/wjgo.v17.i11.112981
Survival prognosis in advanced HER-2 negative gastric cancer treated with immunochemotherapy: A novel model
Zhi-Yuan Yao, Gang Bao, Geng-Chen Li, Qiu-Lin Hao, Li-Jie Ma, Yue-Xuan Rao, Ke Xu, Xiao Ma, Zheng-Xiang Han
Zhi-Yuan Yao, Geng-Chen Li, Qiu-Lin Hao, Zheng-Xiang Han, Department of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, Jiangsu Province, China
Gang Bao, Li-Jie Ma, Yue-Xuan Rao, Ke Xu, The First Clinical College of Xuzhou Medical University, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, Jiangsu Province, China
Xiao Ma, Department of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210006, Jiangsu Province, China
Co-first authors: Zhi-Yuan Yao and Gang Bao.
Co-corresponding authors: Xiao Ma and Zheng-Xiang Han.
Author contributions: Yao ZY, Bao G, Ma X, and Han ZX contributed to the conceptualization, writing-review and editing of this manuscript; Yao ZY and Han ZX were responsible for the methodology of this study; Yao ZY contributed to the formal analysis of this manuscript and the visualization of this article; Yao ZY, Bao G, Li GC, Hao QL, and Ma LJ took part in the writing-original draft and investigation of this manuscript; Yao ZY, Ma X, and Han ZX contributed to the project administration and the supervision of this manuscript; Bao G, Li GC, Hao QL, Ma LJ, Rao YX, and Xu K took part in the data curation of this study; Yao ZY and Bao G were responsible for the validation of this manuscript; Rao YX and Xu K took part in the resources; Ma X and Han ZX were involved in the supervision of this study; Yao ZY and Bao G contributed equally to the manuscript, they are co-first authors of this manuscript. Ma X and Han ZX contributed equally to the manuscript, they are co-corresponding authors of this study.
Institutional review board statement: This research was carried out following the Declaration of Helsinki and received approval from the Ethics Committee at the Affiliated Hospital of Xuzhou Medical University (approval No. XYFY2023-KL277-01).
Informed consent statement: Given the retrospective design of this investigation, the Ethics Committee of the Affiliated Hospital of Xuzhou Medical University granted us an exemption from obtaining written informed consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data included in this study can be obtained from the corresponding author.
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: Zheng-Xiang Han, PhD, Professor, Department of Oncology, The Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai West Road, Xuzhou 221000, Jiangsu Province, China. xzpxlgc@163.com
Received: August 12, 2025
Revised: August 30, 2025
Accepted: October 11, 2025
Published online: November 15, 2025
Processing time: 94 Days and 16.2 Hours
Core Tip

Core Tip: This study developed and validated a novel survival prediction model for advanced HER-2 negative gastric cancer patients receiving immunotherapy combined with chemotherapy. A retrospective analysis of 200 patients identified programmed death ligand 1 expression, microsatellite instability, tumor-node-metastasis stage, tumor differentiation, neutrophil-to-lymphocyte ratio, and C-reactive protein-albumin-lymphocyte index as independent prognostic factors. Based on these factors, nomogram models for progression-free survival and overall survival were constructed and validated using the concordance index (C-index) and area under the curve. The results showed good discrimination ability in both the training and validation sets, indicating that the model effectively predicts patient survival outcomes and provides strong support for personalized treatment decisions.