Publication Name	World Journal of Clinical Oncology
Manuscript ID	109934
Country	China

Category	Multidisciplinary Sciences
Manuscript Type	Letter to the Editor
Article Title	Integrating tumor location into artificial intelligence-based prognostic models in cancer
Manuscript Source	Invited Manuscript
All Author List	Chen Wang, Meng-Yan Chen, Yu-Gang Wang and Min Shi
Funding Agency and Grant Number	Funding Agency Grant Number Natural Science Foundation of the Science and Technology Commission of Shanghai Municipality No. 23ZR1458300 Key Discipline Project of Shanghai Municipal Health System No. 2024ZDXK0004 Doctoral Innovation Talent Base Project for Diagnosis and Treatment of Chronic Liver Diseases No. RCJD2021B02 Pujiang Project of Shanghai Magnolia Talent Plan No. 24PJD098
Corresponding Author	Min Shi, Chief Physician, MD, Professor, Department of Gastroenterology, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai 200336, China. sm1790@shtrhospital.com
Key Words	Tumor location; Prognosis; Artificial intelligence; Artificial intelligence-based prognostic tools; Clinical prediction models
Core Tip	This study highlights the prognostic significance of tumor location in gastric cancer (GC), showing that proximal tumors are associated with worse survival outcomes. Gender differences, particularly in carbohydrate antigen 72-4 expression, further influence prognosis. The letter proposes integrating tumor location into artificial intelligence-based clinical prediction models to improve prognostic accuracy. It outlines a stepwise framework for model development, multicenter validation, and clinical implementation, while addressing critical technical, ethical, and interoperability challenges for real-world application.
Citation	Wang C, Chen MY, Wang YG, Shi M. Integrating tumor location into artificial intelligence-based prognostic models in cancer. World J Clin Oncol 2025; In press

Received	2025-05-27 02:01
Peer-Review Started	2025-05-27 02:01
To Make the First Decision
Return for Revision	2025-06-07 08:36
Revised	2025-06-20 15:23
Second Decision	2025-07-17 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-07-17 08:34
Articles in Press	2025-07-17 08:34
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ISSN	2218-4333 (online)
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