Optimal Control in Combination Therapy for Heterogeneous Cell Populations with Drug Synergies

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.

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Publication Details

Journal
Bulletin of Mathematical Biology
Published
2025-10-14
DOI
https://doi.org/10.1007/s11538-025-01508-z
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
1.37

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article

Optimal Control in Combination Therapy for Heterogeneous Cell Populations with Drug Synergies

Jennifer C. Kasemeier, Paul M. Kulesa, Rebecca Marie Crossley, Samuel Johnson et al.
1 citations
Bulletin of Mathematical Biology
Mathematical Biology Tumor Growth
1.37
article

Optimal Control in Combination Therapy for Heterogeneous Cell Populations with Drug Synergies

Jennifer C. Kasemeier, Paul M. Kulesa, Rebecca Marie Crossley, Samuel Johnson, Ruth E. Baker, Simon F. Martina-Perez
article en
1 citations

Abstract

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.

Bulletin of Mathematical BiologyVol. 87(11)
Children's Mercy Hospital (US), University of Oxford (GB), Mathematical Institute of the Slovak Academy of Sciences (SK)
Foulkes Foundation, University of Oxford, Directorate for Biological Sciences, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, Wolfson College, University of Oxford
Openalex Percentile: Top 16%
Mathematical Biology Tumor Growth
1.37
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Optimal Control in Combination Therapy for Heterogeneous Cell Populations with Drug Synergies — Jennifer C. Kasemeier, Paul M. Kulesa, et al. · Bulletin of Mathematical Biology (2025) | TGRS Research Map | TGRS