Evidence map›Paper›PMID 42094205›Full record

ReviewFrontiers in oncology2026

Myokines in cancer: bridging molecular mechanisms to biomarker discovery and therapeutic innovation.

Huizhe Zhang, Dongjing Fu, Meijing Yue, Fen Cheng, Ying Jiang, Juan Zhao, Wenjuan Wang, Shuqing Deng, Dan Tian, Gaowa Jin and 1 more

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

11 authors.

Huizhe Zhang *Department of Medical Oncology, Ordos Central Hospital, Ordos, China.
Dongjing Fu *Ordos School of Clinical Medical Inner Mongolia Medical University, Inner Mongolia, China.
Meijing Yue *Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Fen ChengDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Ying JiangDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Juan ZhaoDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Wenjuan WangDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Shuqing DengDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Dan TianDepartment of Medical Oncology, Ordos Central Hospital, Ordos, China.
Gaowa Jin *Department of Medical Oncology, Ordos Central Hospital, Ordos, China.
Quanfu Li *Department of Medical Oncology, Ordos Central Hospital, Ordos, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise can regulate the physiological functions of the body by inducing the secretion of myokines, which are bioactive factors mainly secreted by muscle cells. This review classifies myokines based on their functional characteristics, including metabolic regulation (such as myostatin, interleukin-6), neuroregulation (brain-derived neurotrophic factor), cell proliferation/differentiation regulation (myogenic proteins), immune regulation (tumor necrosis factor- alpha), and factors involved in angiogenesis and extracellular matrix remodeling (such as connective tissue growth factor).Cancer, as a consuming disease, often accompanies muscle atrophy and depletion in its advanced stage, thereby affecting the normal secretion of myokines. Increasing research evidence indicates that myokines play a dual regulatory role in the occurrence and development of cancer. Some myokines (such as interleukin-6, tumor necrosis factor- alpha) have environment-dependent functions and can exhibit pro-cancer or anti-cancer effects depending on the microenvironment; while factors such as myostatin show stable anti-tumor potential by regulating key molecular pathways such as the PI3K/AKT pathway, epithelial-mesenchymal transition, and HIF-1α. It is worth noting that muscle cell factors can indirectly influence the disease outcome of cancer by regulating key cells and structures in the tumor microenvironment (such as tumor-associated macrophages, regulatory T cells, and cancer-associated fibroblasts), as well as by participating in the angiogenesis process. At the clinical application level, muscle cell factors are expected to become potential biomarkers for cancer diagnosis and prognosis assessment (such as elevated irisin levels in patients with renal cancer and elevated interleukin-6 levels in patients with bile duct cancer). They also have great potential as therapeutic targets. For example, MSTN inhibitors can effectively alleviate cancer cachexia symptoms, and the combination of anti-interleukin-6 treatment with immune checkpoint blockade therapy can produce a significant synergistic therapeutic effect. This review systematically summarizes the latest research progress on the molecular interaction mechanisms mediated by myokines in cancer, emphasizing their potential for translational applications in precision oncology. Myokines not only regulate the physiological functions of the musculoskeletal system, but also have a close association with the occurrence and development of cancer. The intrinsic connection between myokines and muscle atrophy as well as cancer-related cachexia still requires further in-depth exploration. As emerging biomarkers, myokines can be combined with various diagnostic and therapeutic techniques, which is expected to further improve the survival rate of cancer patients, protect muscle function, and also provide new research ideas for exploring the interrelationship between muscles and cancer and the pathogenesis of related muscle diseases.

Indexed as

biomarkerscancermyokinespathway mechanismtherapeutic targets

Identifiers

PMID42094205
PMCPMC13138978

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Registered trials

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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 OpenQuestion graph.