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Ma S, Lu Y, Sui S, Yang JS, Fu BB, Tan PX, Chai Y, Lv J, Kong L, Wu X, Gao YB, Yan T. Unraveling the triad of immunotherapy, tumor microenvironment, and skeletal muscle biomechanics in oncology. Front Immunol 2025; 16:1572821. [PMID: 40242775 PMCID: PMC12000078 DOI: 10.3389/fimmu.2025.1572821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2025] [Accepted: 03/03/2025] [Indexed: 04/18/2025] Open
Abstract
The intricate interaction between skeletal muscle biomechanics, the tumor microenvironment, and immunotherapy constitutes a pivotal research focus oncology. This work provides a comprehensive review of methodologies for evaluating skeletal muscle biomechanics, including handheld dynamometry, advanced imaging techniques, electrical impedance myography, elastography, and single-fiber experiments to assess muscle quality and performance. Furthermore, it elucidates the mechanisms, applications, and limitations of various immunotherapy modalities, including immune checkpoint inhibitors, adoptive cell therapy, cancer vaccines, and combined chemoimmunotherapy, while examining their effects on skeletal muscle function and systemic immune responses. Key findings indicate that although immunotherapy is effective in augmenting antitumor immunity, it frequently induces muscle-related adverse effects such as weakness, fatigue, or damage, primarily mediated by cytokine release and immune activation. This work underscores the significance of immune niches within the tumor microenvironment in influencing treatment outcomes and proposes strategies to optimize therapy through personalized regimens and combinatorial approaches. This review highlights the need for further research on the formation of immune niches and interactions muscle-tumor. Our work is crucial for advancing the efficacy of immunotherapy, reducing adverse effects, and ultimately improving survival rates and quality of life of patients with cancer.
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Affiliation(s)
- Shuang Ma
- School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
| | - Ying Lu
- School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
| | - Shang Sui
- St. John’s Kilmarnock School, Breslau, ON, Canada
| | - Jia-shuo Yang
- Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bing-bing Fu
- Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Pei-xin Tan
- Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yicheng Chai
- School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
| | - Jiaqi Lv
- School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
| | - Lingyu Kong
- School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
| | - Xiaolin Wu
- School of Mathematics and Statistics, Liaoning University, Shenyang, China
| | - Yi-bo Gao
- Department of Oral and Maxillofacial Surgery, Taikang Bybo Dental, Beijing, China
| | - Tao Yan
- Department of Anesthesiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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