Evidence mapPaperPMID 42394699Full record

ReviewFrontiers in oncology2026

Exercise-responsive microRNA networks and extracellular vesicle-mediated microRNA signaling in breast cancer: linking tumor signaling, systemic crosstalk, and clinical relevance.

Qi Ye, Shoudu Yuan, Duanhao Wang

Abstract readReview
In one paragraph

Review in Frontiers in 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

3 authors.

Qi YePhysical Education Institute, Chongqing College of Humanities, Science and Technology, Chongqing, China.
Shoudu YuanSchool of Physical Education and Health, Chongqing College of International Business and Economics, Chongqing, China.
Duanhao WangChongqing Institute of Sport Science, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is increasingly recognized as a systemic disease shaped by dynamic interactions between tumor-intrinsic signaling and host physiology. MicroRNAs (miRNAs), as post-transcriptional regulators, extend beyond canonical gene silencing to coordinate oncogenic pathways, tumor microenvironment remodeling, and inter-organ communication. In parallel, exercise has emerged as a systemic modulator capable of influencing immune, metabolic, and circulatory processes relevant to tumor progression. This review integrates current evidence on the interplay between miRNAs and exercise in breast cancer. We examine how miRNA-mediated networks regulate key processes including oncogenic signaling, angiogenesis, hypoxia responses, immune modulation, and metabolic adaptation. Particular attention is given to circulating and extracellular vesicle-associated miRNAs as mediators of systemic signaling, including muscle-tumor crosstalk. Emerging clinical data further support the role of circulating miRNAs as minimally invasive biomarkers for early detection and diagnosis, risk stratification, and monitoring of treatment response, with growing relevance to physical activity, overall health status, and lifestyle-based interventions that integrate exercise and behavioral modification strategies. Overall, this review proposes a systems-oriented framework in which miRNAs may link exercise-induced physiological adaptation to breast cancer biology, providing a foundation for future translational and precision oncology strategies.

Indexed as

breast cancercirculating biomarkersexerciseexercise oncologyextracellular vesiclesmicroRNAstumor microenvironment

Identifiers

PMID42394699
PMCPMC13322819

What Socratic holds

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LicenceCC BY
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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.