Stochastic modeling of cellular colonies with quiescence: an application to drug resistance in cancer

DOI10.1016/j.tpb.2007.08.003zbMath1141.92024OpenAlexW2011634072WikidataQ46446268 ScholiaQ46446268MaRDI QIDQ935970

Natalia L. Komarova, Dominik Wodarz

Publication date: 12 August 2008

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

Full work available at URL: https://doi.org/10.1016/j.tpb.2007.08.003

zbMATH Keywords

EvolutionCancer therapyCell cycleChronic myeloid leukemia (CML)Imatinib

Mathematics Subject Classification ID

Applications of branching processes (60J85) Medical applications (general) (92C50) Cell biology (92C37)

Related Items (8)

Limiting the development of anti-cancer drug resistance in a spatial model of micrometastases ⋮ On minimising tumoural growth under treatment resistance ⋮ A mathematical model for progression and heterogeneity in colorectal cancer dynamics ⋮ A mathematical model for progression and heterogeneity in colorectal cancer dynamics ⋮ Bifurcation patterns in generalized models for the dynamics of normal and leukemic stem cells with signaling ⋮ Emergence of Anti-Cancer Drug Resistance: Exploring the Importance of the Microenvironmental Niche via a Spatial Model ⋮ A quasi birth-and-death model for tumor recurrence ⋮ Deterministic and Stochastic Dynamics of Chronic Myelogenous Leukaemia Stem Cells Subject to Hill-Function-Like Signaling

Cites Work

• A model for the resistance of tumor cells to cancer chemotherapeutic agents
• A stochastic model for the origin and treatment of tumors containing drug-resistant cells
• Stochastic modeling of drug resistance in cancer
• The fixed-size Luria-Delbrück model with a nonzero death rate

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