Optimal control in combination therapy for heterogeneous cell populations with drug synergies
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arXiv
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| Format: | Preprint |
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2025
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| author | Martina-Perez, Simon F. Johnson, Samuel W. S. Crossley, Rebecca M. Kasemeier, Jennifer C. Kulesa, Paul M. Baker, Ruth E. |
| author_facet | Martina-Perez, Simon F. Johnson, Samuel W. S. Crossley, Rebecca M. Kasemeier, Jennifer C. Kulesa, Paul M. Baker, Ruth E. |
| contents | Cell heterogeneity plays an important role in patient responses to drug treatments. In many cancers, it is associated with poor treatment outcomes. Many modern drug combination therapies aim to exploit cell heterogeneity, but determining how to optimise responses from heterogeneous cell populations while accounting for multi-drug synergies remains a challenge. In this work, we introduce and analyse a general optimal control framework that can be used to model the treatment response of multiple cell populations that are treated with multiple drugs that mutually interact. In this framework, we model the effect of multiple drugs on the cell populations using a system of coupled semi-linear ordinary differential equations and derive general results for the optimal solutions. We then apply this framework to three canonical examples and discuss the wider question of how to relate mathematical optimality to clinically observable outcomes, introducing a systematic approach to propose qualitatively different classes of drug dosing inspired by optimal control. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_12079 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimal control in combination therapy for heterogeneous cell populations with drug synergies Martina-Perez, Simon F. Johnson, Samuel W. S. Crossley, Rebecca M. Kasemeier, Jennifer C. Kulesa, Paul M. Baker, Ruth E. Quantitative Methods Optimization and Control Cell heterogeneity plays an important role in patient responses to drug treatments. In many cancers, it is associated with poor treatment outcomes. Many modern drug combination therapies aim to exploit cell heterogeneity, but determining how to optimise responses from heterogeneous cell populations while accounting for multi-drug synergies remains a challenge. In this work, we introduce and analyse a general optimal control framework that can be used to model the treatment response of multiple cell populations that are treated with multiple drugs that mutually interact. In this framework, we model the effect of multiple drugs on the cell populations using a system of coupled semi-linear ordinary differential equations and derive general results for the optimal solutions. We then apply this framework to three canonical examples and discuss the wider question of how to relate mathematical optimality to clinically observable outcomes, introducing a systematic approach to propose qualitatively different classes of drug dosing inspired by optimal control. |
| title | Optimal control in combination therapy for heterogeneous cell populations with drug synergies |
| topic | Quantitative Methods Optimization and Control |
| url | https://arxiv.org/abs/2502.12079 |