Mathematical modelling of plasticity and phenotype switching in cancer cell populations

DOI10.1016/j.mbs.2016.11.008zbMath1366.92035OpenAlexW2552195188WikidataQ39197857 ScholiaQ39197857MaRDI QIDQ730281

Seyed Ali Madani Tonekaboni, Andrew Dhawan, Mohammad Kohandel

Publication date: 27 December 2016

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2016.11.008

zbMATH Keywords

mathematical modelstochastic methodscancer stem cellscancer heterogeneity

Mathematics Subject Classification ID

Medical applications (general) (92C50) Cell biology (92C37) Genetics and epigenetics (92D10)

Related Items (7)

Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation ⋮ Mathematical modelling of cancer stem cell-targeted immunotherapy ⋮ A computational method for solving stochastic Itô-Volterra integral equation with multi-stochastic terms ⋮ A Bayesian statistical analysis of stochastic phenotypic plasticity model of cancer cells ⋮ Modeling the stem cell hypothesis: investigating the effects of cancer stem cells and TGF \(- \beta\) on tumor growth ⋮ Unnamed Item ⋮ On tumoural growth and treatment under cellular dedifferentiation

Cites Work

• A multicompartment mathematical model of cancer stem cell-driven tumor growth dynamics
• Investigating the link between epithelial-mesenchymal transition and the cancer stem cell phenotype: a mathematical approach
• Cancer stem cells as the engine of unstable tumor progression
• A multi-phenotypic cancer model with cell plasticity

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