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

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.

Authors

Institutions

Publication Details

Journal
npj Systems Biology and Applications
Published
2025-08-25
DOI
https://doi.org/10.1038/s41540-025-00571-5
Citations
2
Primary Topic
DNA Repair Mechanisms
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jasmine Foo, Einar Bjarki Gunnarsson, Bengt Magnusson
2 citations
npj Systems Biology and Applications
DNA Repair Mechanisms
1.61
article

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

Jasmine Foo, Einar Bjarki Gunnarsson, Bengt Magnusson
article en
2 citations

Abstract

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.

npj Systems Biology and ApplicationsVol. 11(1)
University of Minnesota (US), University of Iceland (IS)
National Science Foundation, National Institutes of Health, National Cancer Institute, Division of Civil, Mechanical and Manufacturing Innovation
Good health and well-being
Openalex Percentile: Top 15%
DNA Repair Mechanisms
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimal dosing of anti-cancer treatment under drug-induced plasticity — Jasmine Foo, Einar Bjarki Gunnarsson, et al. · npj Systems Biology and Applications (2025) | TGRS Research Map | TGRS