A stochastic population model for the impact of cancer cell dormancy on therapy success

DOI10.1016/j.jtbi.2024.111995MaRDI QIDQ6671218

András Tóbiás, Unnamed Author, Jochen Blath, Anna Kraut

Publication date: 24 January 2025

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

zbMATH Keywords

stochastic population dynamicsindividual-based modelstreatment successcancer cell dormancymulti-drug treatmenttherapy evasiontreatment protocol design

Mathematics Subject Classification ID

Applications of branching processes (60J85) Medical applications (general) (92C50) Cell biology (92C37) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Cites Work

• A multicompartment mathematical model of cancer stem cell-driven tumor growth dynamics
• Stochastic modeling of cellular colonies with quiescence: an application to drug resistance in cancer
• A branching process model for dormancy and seed banks in randomly fluctuating environments
• Transition therapy: tackling the ecology of tumor phenotypic plasticity
• Stability analysis and numerical simulations via fractional calculus for tumor dormancy models
• Invasion and fixation of microbial dormancy traits under competitive pressure
• Understanding the role of phenotypic switching in cancer drug resistance
• Interactions between the immune system and cancer: A brief review of non-spatial mathematical models
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