Year: 2026
Type: article
Abstract: Adaptive therapy, which anticipates and counters the evolution of resistance in cancer cells, has gained significant traction, especially following the success of the Zhang et al.'s protocol in treating metastatic castrate-resistant prostate cancer. While several adaptive therapies have now advanced to clinical trials, none currently incorporates migrastatics, i.e. treatments designed to inhibit cancer cell metastasis. In this study, we propose integrating migrastatics into adaptive therapy protocols and evaluate its potential benefits through a spatial game-theoretic model. Our results demonstrate that combining adaptive therapy with migrastatics effectively delays the onset of metastases and reduces both the number and size of metastases in most cancer scenarios analyzed. Including migrastatics to adaptive therapy not only extends the time to the first metastasis, but also enhances the overall efficacy of adaptive therapies. Our findings suggest a promising new direction for cancer treatment, where adaptive therapy, in combination with migrastatic agents, can target both the evolution of resistance and the metastatic spread of cancer cells.
Source: Scientific Reports
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G1005326806, Molecular mechanisms and anti-metastatic effects of a novel migrastatic compound LT1076, Drug repurposing for anti-invasive anti-metastatic treatment - the pipeline development and elucidation of mechanisms, G434337789, ANTICANCER:
Game Theory Empowered by Data Science and Control Theory to Improve Treatment of Metastatic Cancer, Improving treatment of metastatic cancers through game theory and dynamical systems theory, Evolutionary games and population dynamics: from theory to applications
OpenAlex ID: W7118129682