文献类型：期刊文献

英文题名：Patient stratification in exercise oncology: matching exercise modalities to immune phenotypes to optimize immunotherapy response

作者：Zeng, Li[1];Du, Xiaotong[1];Yang, Zhenyu[1];Wu, Yang[1];Tang, Menghao[1];Liang, Fengyan[2];Chen, Linhua[1];Ye, Xinming[1]

机构：[1]East China Univ Sci & Technol, Sch Sports Sci & Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Hainan Univ, Sch Biomed Engn, State Key Lab Digital Med Engn, Sanya, Peoples R China

年份：2026

卷号：71

外文期刊名：TRANSLATIONAL ONCOLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001819104400001)】；

基金：This work was supported by the Project of School-enterprise Coop-eration (Approval No:L110-72301) , and the Project Leader is Xinming Ye, Hainan Provincial Natural Science Foundation of China (324RC448)

语种：英文

外文关键词：Exercise modality; Immune regulation; Cancer risk; Disease prognosis; Inflammation control; Personalized intervention

摘要：Despite advances in oncology, the clinical response to treatments, particularly immunotherapy, remains highly variable due to the complex tumor immune microenvironment. While regular exercise is recognized as a supportive intervention to improve patient outcomes, its mechanistic integration into personalized cancer care is limited by a generalized approach to physical activity. In this review, we argue that the heterogeneity of exercise benefits stems from modality-specific immune remodeling. Evidence indicates that distinct exercise types elicit specific "immune stimulation fingerprints". Steady-state aerobic exercise primarily resolves chronic inflammation and promotes immune homeostasis; resistance training preserves the muscle-immune axis, providing critical physical and immune reserves to maintain treatment tolerance; and high-intensity interval training can provoke acute mobilization of effector immune cells. Importantly, the ability of these systemic immune adaptations to enhance treatment response depends heavily on the local tumor immune niche. To bridge the gap between systemic exercise effects and clinical outcomes, we propose the "exercise-immune matching window" model. This framework highlights that improving therapeutic efficacy-and potentially optimizing responses to immunotherapy-requires patient stratification. By aligning specific exercise modalities with the individual's baseline immunophenotype (e.g., chronic inflammation, significant immunosuppression, or immunosenescence) and treatment stage, we can maximize synergistic effects. Ultimately, transitioning from generic exercise recommendations to tailored, immune-directed prescriptions offers a practical strategy to augment comprehensive cancer management.