Optimal dosing of anti-cancer treatment under drug-induced plasticity

Fuente: arXiv
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Auteurs principaux: Gunnarsson, Einar Bjarki, Magnússon, Benedikt Vilji, Foo, Jasmine
Format: Preprint
Publié: 2024
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author Gunnarsson, Einar Bjarki
Magnússon, Benedikt Vilji
Foo, Jasmine
author_facet Gunnarsson, Einar Bjarki
Magnússon, Benedikt Vilji
Foo, Jasmine
contents While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for non-genetic (epigenetic) mechanisms. Common anti-cancer drugs have recently been observed to induce the adoption of non-genetic drug-tolerant cell states, thereby accelerating the evolution of drug resistance. This confounds conventional high-dose treatment strategies aimed at maximal tumor reduction, since high doses can simultaneously promote non-genetic resistance. In this work, we study optimal dosing of anti-cancer treatment under drug-induced cell plasticity. We show that the optimal dosing strategy steers the tumor to a fixed equilibrium composition between sensitive and tolerant cells, while precisely balancing the trade-off between cell kill and tolerance induction. The optimal equilibrium strategy ranges from applying a low dose continuously to applying the maximum dose intermittently, depending on the dynamics of tolerance induction. We finally discuss how our approach can be integrated with in vitro data to derive patient-specific treatment insights.
format Preprint
id arxiv_https___arxiv_org_abs_2412_16391
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal dosing of anti-cancer treatment under drug-induced plasticity
Gunnarsson, Einar Bjarki
Magnússon, Benedikt Vilji
Foo, Jasmine
Populations and Evolution
92-10, 93-10, 34H05, 92C42
While cancer has traditionally been considered a genetic disease, mounting evidence indicates an important role for non-genetic (epigenetic) mechanisms. Common anti-cancer drugs have recently been observed to induce the adoption of non-genetic drug-tolerant cell states, thereby accelerating the evolution of drug resistance. This confounds conventional high-dose treatment strategies aimed at maximal tumor reduction, since high doses can simultaneously promote non-genetic resistance. In this work, we study optimal dosing of anti-cancer treatment under drug-induced cell plasticity. We show that the optimal dosing strategy steers the tumor to a fixed equilibrium composition between sensitive and tolerant cells, while precisely balancing the trade-off between cell kill and tolerance induction. The optimal equilibrium strategy ranges from applying a low dose continuously to applying the maximum dose intermittently, depending on the dynamics of tolerance induction. We finally discuss how our approach can be integrated with in vitro data to derive patient-specific treatment insights.
title Optimal dosing of anti-cancer treatment under drug-induced plasticity
topic Populations and Evolution
92-10, 93-10, 34H05, 92C42
url https://arxiv.org/abs/2412.16391