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. 2026 Jan 30;7:1728168. doi: 10.3389/fspor.2025.1728168

Integrating multi-omics insights into music and dance-based physical activity for cancer rehabilitation: implications for patient education and precision oncology

Yazhen Zhang 1,*, Yisheng Chen 2,3,4, Ke Wu 5, Zhaoyuan Huang 1,*
PMCID: PMC12901433  PMID: 41695603

Abstract

Music and Dance-Based Physical Activity (MDPA) is an emerging, exercise-centered therapy that integrates artistic expression with structured physical movement, offering significant benefits for cancer rehabilitation. By combining dance with music therapy, MDPA enhances motor coordination, emotional regulation, and physiological resilience. Advances in multi-omics technologies, such as genomics, proteomics, and metabolomics, have provided valuable insights into the molecular mechanisms underlying these benefits, establishing a solid scientific foundation for its clinical application. MDPA modulates neuroendocrine function, inflammatory signaling, and metabolic reprogramming, promoting immune balance and neuroplasticity. Omics-based analyses further reveal the regulation of genes related to stress response, cellular remodeling, and mitochondrial metabolism in patients engaged in music and dance programs. These findings suggest that MDPA is a promising strategy for precision rehabilitation, with the potential to complement conventional cancer treatments. Importantly, integrating MDPA into patient education could enhance its impact, as patients become more informed about the molecular mechanisms at play and how MDPA can complement traditional therapies. Future research should focus on establishing clear links between molecular changes and clinical outcomes, validating MDPA through multicenter trials, and creating personalized implementation frameworks to integrate it effectively into routine oncology care.

Keywords: cancer rehabilitation, dance therapy, multi-omics, music therapy, neuroimmune modulation, physical activity, precision oncology

1. Introduction

Cancer remains one of the most formidable challenges to global health, with approximately 19.3 million new diagnoses and 9.9 million deaths reported in 2020 (1). This burden is expected to grow further as the global population continues to age and lifestyle-related risk factors accumulate (1). Although conventional therapeutic strategies such as surgery, chemotherapy, radiotherapy and the more recent development of immunotherapy have substantially improved patient outcomes, their limitations are equally evident (24). These interventions often result in profound physical toxicities including immunosuppression, fatigue and organ impairment, along with psychological consequences such as depression, anxiety and social role disruption. Such challenges highlight the urgent need for complementary strategies that address both physiological resilience and psychosocial well-being in cancer care (5).

The therapeutic use of music and dance has deep historical roots, with rhythm and movement employed in healing rituals since ancient times (6). Modern music and dance therapy, informed by psychology, kinesiology, and neuroscience, has gained traction in oncology since the 1990s, demonstrating the ability to alleviate cancer symptoms and improve quality of life. While high-income countries have integrated these therapies systematically, low- and middle-income regions still use them mainly in small-scale or exploratory programs.

Research shows that music and dance therapies benefit patients with various cancers, including breast, lung, and colorectal cancers (7). Music therapy reduces pain perception, modulates stress biomarkers, and lowers anxiety, while dance improves motor function, coordination, and body image (8). These therapies also promote social connectedness and enhance treatment adherence. However, issues like small sample sizes, heterogeneous study designs, and inconsistent protocols limit the strength of the evidence.

While short-term benefits are well-documented, the long-term biological and clinical effects are less understood. Personalized therapeutic frameworks are needed to address the diverse needs of cancer patients, influenced by disease stage, treatment regimens, and psychosocial factors (9). This review summarizes current research on music and dance therapies in oncology, emphasizing clinical outcomes, potential molecular mechanisms, and integration challenges. It also highlights the need for large-scale, cross-cultural studies to support global implementation and align with the broader vision of precision medicine and exercise-based strategies in chronic disease management (10).

2. Physiological and psychological mechanisms of music and dance therapy

Music and dance therapies stimulate areas of the brain associated with managing emotions, sensory processing, and reward, including the limbic system, amygdala, nucleus accumbens, and prefrontal cortex (Figure 1). The combination of rhythmic auditory stimulation and coordinated movement increases cerebral blood flow and metabolic activity in these regions, helping to alleviate symptoms such as anhedonia, emotional numbing, and motivational deficits in oncology patients. These therapies also promote neuroplasticity, aiding cognitive recovery and adaptive behavior (11). A core effect is the modulation of the autonomic nervous system, where slow-tempo music enhances parasympathetic activity, and dynamic dance sequences induce a controlled sympathetic activation. The resulting neurochemical changes, including increased dopamine and serotonin release, support improved mood, motor function, and sleep quality. Additionally, rhythmic entrainment and proprioceptive feedback optimize sensorimotor integration, enhancing both physical coordination and emotional regulation (12).

Figure 1.

Illustration depicting the physiological and psychological effects of music and dance therapy. \n\nA. Music and dance activate brain regions for emotion regulation and reward processing, affecting the nervous and endocrine systems. They modulate slow and lively rhythms to impact immune responses.\n\nB. Music and dance interventions enhance self-esteem and psychological resilience, promoting social ties and cultural adaptability.\n\nC. Therapy includes passive music listening, active music creation, free dance for emotional release, and structured dance training like ballroom and folk dance.

Physiological and psychological effects of music and dance therapy. (A) Physiological Foundations: Music and dance-based physical activity (MDPA) directly modulates core physiological systems. It activates key brain regions for emotion and reward processing, promotes neurochemical release, and regulates the autonomic nervous system and stress response (HPA axis). This foundational modulation leads to reduced inflammation, enhanced immune cell profiles, and overall physiological resilience. (B) Psychosocial Mediators: The physiological changes from (A) create a conducive basis for psychosocial benefits. Through group activities and individual expression, MDPA enhances self-esteem, body image, and social connectedness. These experiences, in turn, foster greater psychological resilience, forming a positive feedback loop that reinforces both mental and physical well-being. (C) Clinical Implementation: The foundational and mediating mechanisms are translated into practice through adaptable clinical modalities. These range from receptive to active interventions, which can be tailored to individual needs to ultimately promote emotional well-being, functional improvement, and enhanced quality of life.

Music and dance therapies exert a systemic regulatory effect on the hypothalamic–pituitary–adrenal (HPA) axis, reducing cortisol levels and restoring adaptive diurnal rhythms, which mitigates chronic stress (13). This regulation alleviates fatigue while enhancing sleep quality and immune function in cancer patients (14, 15). Both interventions enhance immune profiles by increasing natural killer (NK) cells, lymphocytes, and cytotoxic T cells, which support tumor surveillance (Figure 1) (16). Furthermore, these therapies reduce pro-inflammatory cytokines like interleukin-6 and tumor necrosis factor-alpha, while promoting anti-inflammatory mediators, fostering a supportive immune environment. This dual modulation is especially beneficial for cancer patients undergoing immunotherapy, where immune balance is crucial.

Music and dance therapies offer nonverbal outlets for complex emotions, reducing psychological distress and fostering a sense of agency. Participants report improvements in self-esteem, body image, and identity, helping counter the existential impact of cancer. Group activities enhance trust, empathy, and social support, reducing isolation (Figure 1) (17, 18). These therapies stimulate reward and motivation systems, improving resilience, optimism, and proactive coping, which in turn enhances treatment adherence and long-term recovery. Tailoring interventions to cultural contexts increases engagement and benefits. For instance, group-based therapies may be more effective in collectivistic cultures, while individualized programs may suit more individualistic societies. Digital platforms offer an opportunity for cross-cultural application, delivering culture-specific content globally. Future research should investigate the effectiveness of culturally adapted protocols, particularly in comparative studies between China and other countries.

Music therapy can be passive (listening to music) or active (singing, playing instruments, improvisation), while dance therapy can be free-form or structured, enhancing coordination and balance. Both therapies can be adapted for individuals or groups to provide social support (Figure 1) (19). Optimal results are achieved with moderate-intensity sessions two to three times a week over eight to twelve weeks, with flexibility in program design to ensure safety and engagement. Integrating these therapies into interdisciplinary care models involving physiotherapists, psychologists, and oncologists is crucial for cancer rehabilitation. Digital and hybrid models increase accessibility, especially for patients with mobility challenges or in underserved areas.

3. Multi-omics insights into the biological impact of music and dance therapy

Transcriptomic analyses show that music and dance-based physical activity (MDPA) induces significant gene expression changes in cancer rehabilitation. RNA sequencing reveals alterations in genes related to neuroplasticity, cellular repair, and immune regulation, highlighting MDPA's ability to integrate multisensory, motor, and emotional stimuli for broad biological effects. These changes suggest MDPA provides both psychological and systemic benefits. MDPA upregulates genes linked to synaptic plasticity, including brain-derived neurotrophic factor (BDNF) and ARC, indicating improved cognitive resilience and rehabilitation adherence (20). MDPA also modulates immune pathways like NF-κB, JAK/STAT, and MAPK, downregulating pro-inflammatory cytokines and upregulating IL-10, potentially through vagus nerve-mediated cholinergic anti-inflammatory effects (21). Additionally, MDPA impacts stress-related genes, lowering cortisol and enhancing heart rate variability, suggesting HPA axis normalization and improved anti-tumor immunity. Preliminary findings indicate MDPA may also influence tumor cell death, angiogenesis, and cell cycle regulation, necessitating further clinical investigation.

Mass spectrometry-based proteomic analyses suggest that MDPA modulates proteins important for altered cell signaling, improved cytoskeletal dynamics, and enhanced oxidative stress responses, underpinning its multifaceted role in cancer rehabilitation (22). Specifically, MDPA affects several critical cancer-related pathways, including PI3K/AKT, mTOR, and ERK. The regulation of cell survival, metabolism, and immune activation by these pathways suggests a shift from pro-survival signaling to a state conducive to cellular homeostasis and immune surveillance (23). This model is functionally corroborated by two key findings. First, MDPA increases levels of immune-defense proteins such as complement components and immunoglobulins, which leads to enhanced opsonization and antibody-dependent cellular cytotoxicity, thereby strengthening innate and adaptive immune attacks on tumor cells. Second, MDPA upregulates the pro-apoptotic proteins. Together, these immunomodulatory and pro-apoptotic effects may synergistically improve systemic immune function and promote tumor cell death, particularly in the early stage of rehabilitation. Clinical correlation indicates an increase in lymphocyte count with a decrease in inflammatory markers, providing a systemic immunological validation of these proteomic alterations.

Concurrently, MDPA-induced changes in extracellular matrix proteins, such as fibronectin, collagen isoforms, and matrix metalloproteinases, point to a restructuring of the tumor microenvironment that likely impedes tumor invasiveness and angiogenesis (24). This “normalization” of the ECM may create a physical barrier against metastasis. Furthermore, the increased expression of mitochondrial and glycolytic enzymes indicates a systemic enhancement of energy efficiency. This bioenergetic boost is not exploited by the tumor, but is instead preferentially used to fuel the heightened activity of immune cells and to support tissue repair processes, thereby diverting metabolic resources away from tumor growth (25, 26).

Metabolomic profiling indicates that MDPA orchestrates a systemic metabolic shift, altering the metabolism of amino acids, lipids, and carbohydrates. Specifically, the improved turnover of branched-chain amino acids (BCAAs) directly supports protein synthesis and anaplerosis, thereby providing a molecular basis for the preservation of muscle mass, which is a critical aspect of cancer rehabilitation (27, 28). Simultaneously, the ameliorated lipid profile may reduce chronic inflammation and associated metabolic complications. Notably, elevated levels of neurotransmitter metabolites, including serotonin, dopamine, and γ-aminobutyric acid, suggest that MDPA modulates the gut-brain axis or neuro-immune circuits. This regulatory role could explain the observed improvements in mood and its positive impact on immune function. Epigenetic and miRNA analyses further substantiate the mechanism. The observed changes in DNA methylation and histone modification likely contribute to the reactivation of tumor suppressor genes and silencing of oncogenes, consistent with proteomic findings. Moreover, changes in microRNA profiles shed light on the specific molecular processes through which MDPA may exert its anti-cancer effects.

Microbiome sequencing indicates that MDPA enhances gut microbial diversity, specifically enriching beneficial genera such as Bifidobacterium and Lactobacillus (29, 30). These shifts correlate with elevated synthesis of short-chain fatty acids (SCFAs), which exert antitumor and anti-inflammatory effects while fortifying the gut barrier. Alterations in microbial composition also contribute to immune modulation by promoting regulatory T cell differentiation through enhanced antigen presentation and reduced cytokine production (31, 32). Taken together, these microbiome-mediated effects suggest that MDPA modulates the gut-immune-brain axis (15) and induces beneficial epigenetic reprogramming of host cells; these changes strengthen host defense, attenuate inflammation, and restore metabolic homeostasis.

4. Molecular mechanisms of music and dance therapy

MDPA's regulation of the HPA axis and autonomic balance leads to specific molecular changes. Studies show that MDPA reduces cortisol levels, which is critical for preventing stress-induced suppression of immune responses like lymphocyte proliferation and NK cell activity (33). Rhythmic movement with sound enhances parasympathetic tone, activating the cholinergic anti-inflammatory pathway, which suppresses pro-inflammatory cytokines and supports immune function (34). This promotes NK cell cytotoxicity and enhances T cell responses, potentially improving cancer therapy outcomes. Thus, by co-modulating the neuroendocrine and immune systems, MDPA provides a valuable non-pharmacological adjunct to conventional cancer therapies (Figure 2) (35, 36).

Figure 2.

Diagram illustrating the molecular mechanisms of music and dance therapy. Four sections are depicted: A) Regulation of the neuroendocrine-immune axis, showing effects on glucocorticoids, thymus, lymphocytes, and brain activity. B) Regulation of inflammatory signaling pathways, with NF-kB, cytokines, and inflammation processes. C) Pathways associated with apoptosis and proliferation, highlighting DNA damage, cell cycle arrest, and caspase activity. D) Epigenetic reprogramming, detailing DNA methylation, histone modification, and involvement of miRNA. Musical notes are integrated visually throughout.

Molecular mechanisms of music and dance therapy. (A) Regulation of the neuroendocrine-immune axis. MDPA mitigates stress-induced immunosuppression by modulating the hypothalamic-pituitary-adrenal (HPA) axis, leading to reduced glucocorticoid levels. This, in turn, alleviates thymic atrophy, increases lymphocyte count, and enhances natural killer (NK) cell cytotoxicity. (B) Regulation of inflammatory signaling pathways. MDPA exerts anti-inflammatory effects primarily through the suppression of key pro-inflammatory pathways. It inhibits the nuclear factor-kappa B (NF-κB) signaling cascade, reducing the transcription of downstream cytokines, chemokines, and adhesion molecules. Concurrently, MDPA modulates the JAK/STAT and MAPK pathways, contributing to the attenuation of chronic low-grade inflammation driven by factors such as IL-1β and TNF-α. (C) Pathways associated with apoptosis and proliferation. In response to carcinogenic stress and DNA damage, MDPA promotes the stabilization and activation of the p53 tumor suppressor protein, leading to cell cycle arrest. Furthermore, it shifts the balance towards apoptosis by upregulating pro-apoptotic proteins and downregulating anti-apoptotic factors, thereby limiting uncontrolled cell division. (D) Epigenetic reprogramming. MDPA facilitates long-term adaptive changes through epigenetic modifications. These include alterations in DNA methylation patterns, post-translational histone modifications, and regulation of non-coding RNAs, collectively mediated by chromatin remodeling complexes to reinforce a favorable gene expression profile.

MDPA may also modulate key inflammatory pathways like NF-κB, which is involved in tumor-supporting microenvironments (Figure 2) (37). By decreasing pro-inflammatory cytokines and restoring immune homeostasis, MDPA may improve treatment tolerance and efficacy, especially in combination with immunotherapy (3840). However, the direct effects of MDPA on these pathways in human cancer patients remain speculative, based mainly on preclinical models. Additionally, MDPA may influence tumor cell fate through pathways like p53, involved in apoptosis and DNA damage responses (Figure 2) (41). Stress reduction via MDPA may enhance p53 activity, sensitizing cancer cells to chemotherapy and radiotherapy. MDPA's potential to modulate cell proliferation and induce apoptosis also suggests synergy with conventional cancer treatments.

Preliminary evidence indicates that MDPA could induce beneficial epigenetic changes, including DNA methylation and histone acetylation, potentially reversing tumor-promoting patterns (42). MDPA may influence microRNA expression, increasing tumor-suppressive miRNAs and reducing oncogenic miRNAs (43). These changes offer a non-invasive method to promote favorable gene expression in cancer survivors, supporting the integration of MDPA into precision oncology approaches. Future research combining multi-omics techniques will be crucial to validate these mechanisms and their clinical relevance. Incorporating MDPA into patient education can enhance understanding of these molecular processes, helping patients recognize the potential benefits of such therapies as complementary strategies to conventional cancer treatments.

5. Interdisciplinary integration and future clinical applications

5.1. Combining multi-omics data with clinical insights

Recent progress in multi-omics technologies (genomics, proteomics, and metabolomics) has deepened our understanding of MDPA's biological mechanisms in oncology rehabilitation (44). The combination of these technologies can create a more comprehensive view of how MDPA induces molecular changes that influence both physical and emotional aspects of cancer recovery (45). By merging omics data with clinical data, such as patient-reported outcomes and functional assessments, we can generate mechanistic insights that support evidence-based protocols for MDPA's clinical implementation (46).

The integration of wearable technologies enables real-time monitoring of physiological parameters such as heart rate variability, movement, and respiration (47). Combined with self-reported measures of mood, fatigue, and pain, these data provide a dynamic assessment of MDPA effects (48, 49). Integrating wearable and multi-omics data may yield models that elucidate MDPA mechanisms and identify predictive biomarkers for patient stratification. Artificial intelligence can further personalize therapy parameters to optimize efficacy and engagement (50, 51).

5.2. Enhancing conventional cancer therapies through MDPA

MDPA can enhance conventional cancer treatments by modulating neuroendocrine-immune systems, reducing inflammation, and improving immune responses (52, 53). For example, studies show that music therapy improved anxiety and mood in breast cancer patients undergoing chemotherapy (54). Notably, this study, like many in the field, involved a relatively small cohort and was not randomized, limiting the strength of causal inference. Immune response may be enhanced by rhythmic activity or activity that activates emotions, which in turn enhances immuno-oncology treatments and checkpoint inhibitors (55).

MDPA may also reduce cancer-related side effects like fatigue, cognitive dysfunction, and neuromuscular dysfunction, improving treatment tolerance and adherence (56). The neuroplastic effects of MDPA may help patients cope with treatment toxicity, such as neuropathic pain or nausea, while fostering better psychosocial outcomes (57). Integrating MDPA with other therapies, like psychotherapy or nutrition, could enhance rehabilitation, particularly in managing cancer-related fatigue and improving quality of life.

5.3. Precision strategies in MDPA implementation

Precision rehabilitation aligns MDPA interventions with a patient's specific molecular, physiological, and psychosocial characteristics (58). For example, MDPA can be customized for specific cancer types, treatment phases, and genomic markers, such as integrating oncological and nutritional expertise for personalized care during chemotherapy. Molecular subtyping can guide intervention selection, with personalized therapies addressing specific symptoms like inflammation or neuromuscular deficits. During active treatment, MDPA can focus on fatigue management, while in post-treatment phases, it can promote long-term health with aerobic or resistance training. Regular assessments and real-time data can ensure personalized care, enhancing treatment adherence and outcomes.

5.4. Overcoming barriers to clinical adoption

Widespread clinical adoption of MDPA requires standardized guidelines, multicenter trials, and long-term follow-up to establish its safety, efficacy, and cost-effectiveness (59). Demonstrating long-term cost savings through health economic evaluations will be critical for MDPA's integration into standard care protocols and securing insurance coverage (60). Public awareness, professional training, and interdisciplinary collaboration are key to overcoming barriers. Partnerships between healthcare providers, academic institutions, and arts organizations will expand MDPA's capacity and ensure high-quality care, driving innovation and improving patient outcomes.

6. Conclusion and future prospects

MDPA has gained strong empirical support in oncology rehabilitation, demonstrating benefits in alleviating cancer-related fatigue, reducing anxiety and depression, and improving pain management (61). It also enhances physical function and motor coordination, especially in patients recovering from chemotherapy, radiotherapy, or surgery (62). Emerging multi-omics research reveals that MDPA influences neuroendocrine activity, modulates immune-inflammatory responses, and promotes metabolic reprogramming, with measurable biochemical changes linked to psychological and physiological improvements. Its adaptability, alignment with the biopsychosocial model, and potential for patient-specific customization make MDPA a valuable non-invasive intervention. Additionally, group-based formats foster social engagement and emotional resilience, improving long-term quality of life (63).

However, current studies are limited by small sample sizes, varied demographics, and inconsistent methods, hindering the identification of clinically significant effects. Future research should focus on large-scale, multicenter trials with standardized protocols. Key areas of investigation include how MDPA can complement established oncological therapies, such as immunotherapy and targeted therapy, by enhancing immune responses or mitigating side effects like fatigue. Subgroup analyses, cost-effectiveness evaluations, and the integration of technologies like AI-driven motion analysis is crucial to advancing MDPA's role in personalized rehabilitation (64, 65). These efforts will deepen our understanding of MDPA's long-term impact on patient outcomes across diverse cancer treatments across diverse cancer treatments (66).

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This research was supported by the National Social Science Fund Project (23XTY007, Silver Age Sports Science Literacy Promotion Program).

Footnotes

Edited by: Hengguo Zhang, Anhui Medical University, China

Reviewed by: Huimi Guo, Capital University of Economics and Business, China

Xiuwen Xiao, University of Chinese Academy of Social Sciences (UCASS), China

Author contributions

YZ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Visualization, Writing – original draft. YC: Conceptualization, Data curation, Formal analysis, Investigation, Resources, Software, Validation, Visualization, Writing – original draft. KW: Investigation, Resources, Software, Validation, Visualization, Writing – review & editing. ZH: Investigation, Supervision, Validation, Visualization, Writing – review & editing, Project administration.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher's note

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References

  • 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2021) 71:209–49. 10.3322/caac.21660 [DOI] [PubMed] [Google Scholar]
  • 2.Chen Y-H, Xu H, Hu D, Xie C, Liu S-M, Hu L, et al. Traditional medicine in cancer: what is new in 2022. Tradit Med Res. (2023) 8:47. 10.53388/TMR20230419001 [DOI] [Google Scholar]
  • 3.Xu Z, Zhou H, Li T, Yi Q, Thakur A, Zhang K, et al. Application of biomimetic nanovaccines in cancer immunotherapy: a useful strategy to help combat immunotherapy resistance. Drug Resist Updates. (2024) 75:101098. 10.1016/j.drup.2024.101098 [DOI] [PubMed] [Google Scholar]
  • 4.Kohli AS, Sanyal S, Kaushal RS, Dwivedi M. An insight into immunological therapeutic approach against cancer: potential anti-cancer vaccines. Curr Genomics. (2025) 26:175–90. 10.2174/0113892029319505240821063238 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sonkin D, Thomas A, Teicher BA. Cancer treatments: past, present, and future. Cancer Genet. (2024) 286–287:18–24. 10.1016/j.cancergen.2024.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Carroll D. Historical roots of music therapy: a brief overview. Revista InCantare. (2014) 2:171–8. 10.33871/2317417X.2011.2.1.184 [DOI] [Google Scholar]
  • 7.Fox Rehabilitation, Jersey City, USA, Bhonde I. Effect of dance movement therapy on physical well-being of cancer patients. J Phys Med Rehabil Stud Rep. (2024) 6:1–3. 10.47363/JPMRS/2024(6)E101 [DOI] [Google Scholar]
  • 8.Köhler F, Martin Z-S, Hertrampf R-S, Gäbel C, Kessler J, Ditzen B, et al. Music therapy in the psychosocial treatment of adult cancer patients: a systematic review and meta-analysis. Front Psychol. (2020) 11:651. 10.3389/fpsyg.2020.00651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Potti A, Schilsky RL, Nevins JR. Refocusing the war on cancer: the critical role of personalized treatment. Sci Transl Med. (2010) 2(28):28cm13. 10.1126/scitranslmed.3000643 [DOI] [PubMed] [Google Scholar]
  • 10.Narote S, Desai SA, Patel VP, Deshmukh R, Raut N, Dapse S. Identification of new immune target and signaling for cancer immunotherapy. Cancer Genet. (2025) 294–295:57–75. 10.1016/j.cancergen.2025.03.004 [DOI] [PubMed] [Google Scholar]
  • 11.Mishra J, Gazzaley A. Harnessing the neuroplastic potential of the human brain & the future of cognitive rehabilitation. Front Hum Neurosci. (2014) 8:218. 10.3389/fnhum.2014.00218 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jacob Rodrigues MC, Postolache O, Cercas F. The influence of stress noise and music stimulation on the autonomous nervous system. IEEE Trans Instrum Meas. (2023) 72:1–19. 10.1109/TIM.2023.327988137323850 [DOI] [Google Scholar]
  • 13.Klaperski-van Der Wal S, Skinner J, Opacka-Juffry J, Pfeffer K. Dance and stress regulation: a multidisciplinary narrative review. Psychol Sport Exerc. (2025) 78:102823. 10.1016/j.psychsport.2025.102823 [DOI] [PubMed] [Google Scholar]
  • 14.Wang J, Shao F, Yu QX, Ye L, Wusiman D, Wu R, et al. The common hallmarks and interconnected pathways of aging, circadian rhythms, and cancer: implications for therapeutic strategies. Research. (2025) 8:612. 10.34133/research.0612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Fu Y, Wu K, Zhuang J, Chen Y, Jia L, Luo Z, et al. Music therapy in modulating immune responses and enhancing cancer treatment outcomes. Front Immunol. (2025) 16:1639047. 10.3389/fimmu.2025.1639047 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Guo Z, Saw PE, Jon S. Non-Invasive physical stimulation to modulate the tumor microenvironment: unveiling a new frontier in cancer therapy. BIO Integration. (2024) 5:1–14. 10.15212/bioi-2024-0012 [DOI] [Google Scholar]
  • 17.Tunçgenç B, Cohen E. Movement synchrony forges social bonds across group divides. Front Psychol. (2016) 7:782. 10.3389/fpsyg.2016.00782 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Paillard-Brunet G, Couillet A. Peer-Support in oncology: a qualitative study of caregivers perception in a cancer CenterPair-aidance en oncologie: etude qualitative de la perception des soignants dans un centre de lutte contre le cancer. Psycho-Oncologie. (2024) 18:23–31. 10.32604/po.2023.047888 [DOI] [Google Scholar]
  • 19.Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH, Curtis K, et al. Understanding and promoting effective engagement with digital behavior change interventions. Am J Prev Med. (2016) 51:833–42. 10.1016/j.amepre.2016.06.015 [DOI] [PubMed] [Google Scholar]
  • 20.Benatti C, Radighieri G, Alboni S, Blom JMC, Brunello N, Tascedda F. Modulation of neuroplasticity-related targets following stress-induced acute escape deficit. Behav Brain Res. (2019) 364:140–8. 10.1016/j.bbr.2019.02.023 [DOI] [PubMed] [Google Scholar]
  • 21.Zila I, Mokra D, Kopincova J, Kolomaznik M, Javorka M, Calkovska A. Vagal-Immune interactions involved in cholinergic anti-inflammatory pathway. Physiol Res. (2017) 66(Suppl 2):S139–45. 10.33549/physiolres.933671 [DOI] [PubMed] [Google Scholar]
  • 22.Chen S, Wang L, Yang L, Rana AS, He C. Engineering biomimetic microenvironment for organoid. Macromol Biosci. (2023) 23:2300223. 10.1002/mabi.202300223 [DOI] [PubMed] [Google Scholar]
  • 23.Basnet R, Bahadur Basnet B, Gupta R, Basnet T, Khadka S, Shan Alam M. Mammalian target of rapamycin (mTOR) signalling pathway-a potential target for cancer intervention: a short overview. Curr Mol Pharmacol. (2023) 17:e310323215268. 10.2174/1874467217666230331081959 [DOI] [PubMed] [Google Scholar]
  • 24.Brassart-Pasco S, Brézillon S, Brassart B, Ramont L, Oudart J-B, Monboisse JC. Tumor microenvironment: extracellular matrix alterations influence tumor progression. Front Oncol. (2020) 10:397. 10.3389/fonc.2020.00397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Porporato PE, Filigheddu N, Pedro JMB-S, Kroemer G, Galluzzi L. Mitochondrial metabolism and cancer. Cell Res. (2018) 28:265–80. 10.1038/cr.2017.155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ma J, Wang S, Zhang P, Zheng S, Li X, Li J, et al. Emerging roles for fatty acid oxidation in cancer. Genes Dis. (2025) 12:101491. 10.1016/j.gendis.2024.101491 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lee K, Blanton C. The effect of branched-chain amino acid supplementation on cancer treatment. Nutr Health. (2023) 29:621–35. 10.1177/02601060231153428 [DOI] [PubMed] [Google Scholar]
  • 28.Alwahsh M, Abumansour H, Althaher AR, Hergenröder R. Metabolic profiling techniques and their application in cancer research. Curr Pharm Anal. (2024) 20:485–99. 10.2174/0115734129317614240809053901 [DOI] [Google Scholar]
  • 29.Yuan L, Luan Y, Hong W, Zhang B, Xiong Y. Effects of aerobic exercise and intermittent fasting on fecal microbiome diversity in obese mice. Discov Med. (2025) 37:765. 10.24976/Discov.Med.202537195.66 [DOI] [PubMed] [Google Scholar]
  • 30.Zhu CY, Byun H, Do EA, Zhang Y, Tanchoco E, Beld J, et al. Music exposure enhances resistance to Salmonella infection by promoting healthy gut microbiota. Microbiol Spectr. (2025) 13:e02377–24. 10.1128/spectrum.02377-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sun J, Chen F, Wu G. Potential effects of gut microbiota on host cancers: focus on immunity, DNA damage, cellular pathways, and anticancer therapy. ISME J. (2023) 17:1535–51. 10.1038/s41396-023-01483-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kumar AR, Nair B, Kamath AJ, Nath LR, Calina D, Sharifi-Rad J. Impact of gut microbiota on metabolic dysfunction-associated steatohepatitis and hepatocellular carcinoma: pathways, diagnostic opportunities and therapeutic advances. Eur J Med Res. (2024) 29:485. 10.1186/s40001-024-02072-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fu VX, Oomens P, Sneiders D, Van Den Berg SAA, Feelders RA, Wijnhoven BPL, et al. The effect of perioperative music on the stress response to surgery: a meta-analysis. J Surg Res. (2019) 244:444–55. 10.1016/j.jss.2019.06.052 [DOI] [PubMed] [Google Scholar]
  • 34.Wu G, Chen Y, Chen C, Liu J, Wu Q, Zhang Y, et al. Role and mechanisms of exercise therapy in enhancing drug treatment for glioma: a review. Front Immunol. (2025) 16:1576283. 10.3389/fimmu.2025.1576283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Benarroch EE. Autonomic nervous system and neuroimmune interactions: new insights and clinical implications. Neurology. (2019) 92:377–85. 10.1212/WNL.0000000000006942 [DOI] [PubMed] [Google Scholar]
  • 36.Pauwels EKJ, Volterrani D, Mariani G, Kostkiewics M. Mozart, music and medicine. Med Princ Pract. (2014) 23:403–12. 10.1159/000364873 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Cao Y, Yi Y, Han C, Shi B. NF-κB signaling pathway in tumor microenvironment. Front Immunol. (2024) 15:1476030. 10.3389/fimmu.2024.1476030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Greco F, Grazioli E, Parisi A, Greco EA, Emerenziani GP. Dance and music for improving health among patients with breast cancer and Parkinson’s disease: a narrative review. Endocrines. (2021) 2:472–84. 10.3390/endocrines2040042 [DOI] [Google Scholar]
  • 39.Manohar SM. At the crossroads of TNF α signaling and cancer. Curr Mol Pharmacol. (2023) 17:e080923220828. 10.2174/1874467217666230908111754 [DOI] [PubMed] [Google Scholar]
  • 40.Hesketh SJ. Advancing cancer cachexia diagnosis with -omics technology and exercise as molecular medicine. Sports Med Health Sci. (2024) 6:1–15. 10.1016/j.smhs.2024.01.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Reinhardt HC, Schumacher B. The p53 network: cellular and systemic DNA damage responses in aging and cancer. Trends Genet. (2012) 28:128–36. 10.1016/j.tig.2011.12.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Szyf M. Epigenetics, a key for unlocking complex CNS disorders? Therapeutic implications. Eur Neuropsychopharmacol. (2015) 25:682–702. 10.1016/j.euroneuro.2014.01.009 [DOI] [PubMed] [Google Scholar]
  • 43.Misso G, Di Martino MT, De Rosa G, Farooqi AA, Lombardi A, Campani V, et al. Mir-34: a new weapon against cancer? Mol Ther Nucleic Acids. (2014) 3:e195. 10.1038/mtna.2014.47 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zhang Q, Zhao X, Qin S, Xiao Q, Tian Y, Zhang Z, et al. Identification of GPR35-associated metabolic characteristics through LC-MS/MS-based metabolomics and lipidomics. Acta Mater Med. (2024) 3:105–18. 10.15212/AMM-2023-0046 [DOI] [Google Scholar]
  • 45.Mengelkoch S, Miryam Schüssler-Fiorenza Rose S, Lautman Z, Alley JC, Roos LG, Ehlert B, et al. Multi-omics approaches in psychoneuroimmunology and health research: conceptual considerations and methodological recommendations. Brain Behav Immun. (2023) 114:475–87. 10.1016/j.bbi.2023.07.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ali H. Artificial intelligence in multi-omics data integration: advancing precision medicine, biomarker discovery and genomic-driven disease interventions. Int J Sci Res Arch. (2023) 8:1012–30. 10.30574/ijsra.2023.8.1.0189 [DOI] [Google Scholar]
  • 47.Taffoni F, Rivera D, La Camera A, Nicolò A, Velasco JR, Massaroni C. A wearable system for real-time continuous monitoring of physical activity. J Healthc Eng. (2018) 2018:1–16. 10.1155/2018/1878354 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Clara MI, Canavarro MC, Severina A, Ramos S, Rafael C, Gomes AA. (Assessment of cancer-related fatigue expression: comparing the expression of fatigue in patients with a history of cancer, patients with other chronic diseases, and healthy individuals) evaluation de l’expression de la fatigue liée au cancer: comparant l’expression de la fatigue chez les patients atteints de cancer, chez les patients touchés par d’autres maladies chroniques et chez les individus en bonne santé. Psycho-Oncologie. (2024) 18:49–57. 10.32604/po.2023.044320 [DOI] [Google Scholar]
  • 49.Chen Y, Wu G, Wang Q, Ding Y, Wu L, Shi H, et al. Applications of robotic exoskeletons as motion assistive systems in cancer rehabilitation. Research (Wash, D C). (2025) 8:0855. 10.34133/research.0855 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Guo ZH, Zhang Z, An K, He T, Sun Z, Pu X, et al. A wearable multidimensional motion sensor for AI-enhanced VR sports. Research. (2023) 6:154. 10.34133/research.0154 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Morazán-Fernández D, Mora J, Molina-Mora JA. In silico pipeline to identify tumor-specific antigens for cancer immunotherapy using exome sequencing data. Phenomics. (2023) 3:130–7. 10.1007/s43657-022-00084-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Huang M, Gong G, Deng Y, Long X, Long W, Liu Q, et al. Crosstalk between cancer cells and the nervous system. Med Adv. (2023) 1:173–89. 10.1002/med4.27 [DOI] [Google Scholar]
  • 53.Chen Y, Chen X, Luo Z, Kang X, Ge Y, Wan R, et al. Exercise-Induced reduction of IGF1R sumoylation attenuates neuroinflammation in APP/PS1 transgenic mice. J Adv Res. (2025) 69:279–97. 10.1016/j.jare.2024.03.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Chirico A, Maiorano P, Indovina P, Milanese C, Giordano GG, Alivernini F, et al. Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy. J Cell Physiol. (2020) 235:5353–62. 10.1002/jcp.29422 [DOI] [PubMed] [Google Scholar]
  • 55.Gustafson MP, Wheatley-Guy CM, Rosenthal AC, Gastineau DA, Katsanis E, Johnson BD, et al. Exercise and the immune system: taking steps to improve responses to cancer immunotherapy. J Immunother Cancer. (2021) 9:e001872. 10.1136/jitc-2020-001872 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Pereira APS, Marinho V, Gupta D, Magalhães F, Ayres C, Teixeira S. Music therapy and dance as gait rehabilitation in patients with Parkinson disease: a review of evidence. J Geriatr Psychiatry Neurol. (2019) 32:49–56. 10.1177/0891988718819858 [DOI] [PubMed] [Google Scholar]
  • 57.Teixeira-Machado L, Arida RM, De Jesus Mari J. Dance for neuroplasticity: a descriptive systematic review. Neurosci Biobehav Rev. (2019) 96:232–40. 10.1016/j.neubiorev.2018.12.010 [DOI] [PubMed] [Google Scholar]
  • 58.French MA, Roemmich RT, Daley K, Beier M, Penttinen S, Raghavan P, et al. Precision rehabilitation: optimizing function, adding value to health care. Arch Phys Med Rehabil. (2022) 103:1233–9. 10.1016/j.apmr.2022.01.154 [DOI] [PubMed] [Google Scholar]
  • 59.Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B, et al. Cost-effectiveness analysis alongside clinical trials II—an ISPOR good research practices task force report. Value Health. (2015) 18:161–72. 10.1016/j.jval.2015.02.001 [DOI] [PubMed] [Google Scholar]
  • 60.Trapero-Bertran M, Pokhrel S, Hanney S. Research can be integrated into public health policy-making: global lessons for and from Spanish economic evaluations. Health Res Policy Syst. (2022) 20:67. 10.1186/s12961-022-00875-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Jasemi M, Aazami S, Zabihi R. The effects of music therapy on anxiety and depression of cancer patients. Indian J Palliat Care. (2016) 22:455. 10.4103/0973-1075.191823 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Ettenberger M, Calderón Cifuentes NP. Intersections of the arts and art therapies in the humanization of care in hospitals: experiences from the music therapy service of the university hospital fundación Santa fe de bogotá, Colombia. Front Public Health. (2022) 10:1020116. 10.3389/fpubh.2022.1020116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Qiu Q, Karunakaran KK, Shoval HA, Alokaily AO. Editorial: technology aided personalized motor rehabilitation for individuals with neurological diseases. Front Bioeng Biotechnol. (2025) 13:1595330. 10.3389/fbioe.2025.1595330 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Ceasar SA, Ebeed HT. The present state and impact of AI-driven computational tools for predicting plant protein structures. Protein Peptide Lett. (2024) 31:749–58. 10.2174/0109298665335283241003092139 [DOI] [PubMed] [Google Scholar]
  • 65.Zhou L, Chen S, Liu J, Zhou Z, Yan Z, Li C, et al. When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): game-changer for drug discovery and development? Innov Life. (2025) 3:100115. 10.59717/j.xinn-life.2024.100115 [DOI] [Google Scholar]
  • 66.Disability Rehabilitation Professional, Educationist, and Activist, New Delhi, Yadav M. Rehabilitation through dance therapy. Shodh Sari Int Multidiscip J. (2023) 2:60–72. 10.59231/SARI7624 [DOI] [Google Scholar]

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