Mathematical Model of Muscle Wasting in Cancer Cachexia.
Suzan Farhang-SardroodiKathleen P WilkiePublished in: Journal of clinical medicine (2020)
Cancer cachexia is a debilitating condition characterized by an extreme loss of skeletal muscle mass, which negatively impacts patients' quality of life, reduces their ability to sustain anti-cancer therapies, and increases the risk of mortality. Recent discoveries have identified the myostatin/activin A/ActRIIB pathway as critical to muscle wasting by inducing satellite cell quiescence and increasing muscle-specific ubiquitin ligases responsible for atrophy. Remarkably, pharmacological blockade of the ActRIIB pathway has been shown to reverse muscle wasting and prolong the survival time of tumor-bearing animals. To explore the implications of this signaling pathway and potential therapeutic targets in cachexia, we construct a novel mathematical model of muscle tissue subjected to tumor-derived cachectic factors. The model formulation tracks the intercellular interactions between cancer cell, satellite cell, and muscle cell populations. The model is parameterized by fitting to colon-26 mouse model data, and the analysis provides insight into tissue growth in healthy, cancerous, and post-cachexia treatment conditions. Model predictions suggest that cachexia fundamentally alters muscle tissue health, as measured by the stem cell ratio, and this is only partially recovered by anti-cachexia treatment. Our mathematical findings suggest that after blocking the myostatin/activin A pathway, partial recovery of cancer-induced muscle loss requires the activation and proliferation of the satellite cell compartment with a functional differentiation program.
Keyphrases
- skeletal muscle
- stem cells
- single cell
- signaling pathway
- cell therapy
- healthcare
- end stage renal disease
- public health
- squamous cell
- chronic kidney disease
- small molecule
- endothelial cells
- big data
- cell proliferation
- type diabetes
- climate change
- cardiovascular events
- epithelial mesenchymal transition
- cardiovascular disease
- oxidative stress
- childhood cancer
- mesenchymal stem cells
- artificial intelligence
- combination therapy
- lymph node metastasis
- high glucose
- risk factors
- endoplasmic reticulum stress
- patient reported outcomes
- replacement therapy