Evidence mapPaperPMID 42398463Full record

ReviewTranslational oncology2026

Patient stratification in exercise oncology: matching exercise modalities to immune phenotypes to optimize immunotherapy response.

Li Zeng, Xiaotong Du, Zhenyu Yang, Yang Wu, Menghao Tang, Fengyan Liang, Linhua Chen, Xinming Ye

Abstract readReview
In one paragraph

Review in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Li ZengSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: tyzl@ecust.edu.cn.
Xiaotong DuSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: 1774078809@qq.com.
Zhenyu YangSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: jkyjs@mail.ecust.edu.cn.
Yang WuSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: 18017726132@163.com.
Menghao TangSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: 1143123257@qq.com.
Fengyan LiangSchool of Biomedical Engineering, State Key Laboratory of Digital Medical Engineering, Hainan University, Sanya, China. Electronic address: fyliang@hainanu.edu.cn.
Linhua ChenSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: samc@ecust.edu.cn.
Xinming YeSchool of Sports Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China. Electronic address: tyxm@ecust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cancer riskDisease prognosisExercise modalityImmune regulationInflammation controlPersonalized intervention

Identifiers

PMID42398463
PMCPMC13355432

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.