Global Analysis of a Cancer Model with Drug Resistance Due to Microvesicle Transfer

Attila Dénes () and Gergely Röst ()
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Attila Dénes: University of Szeged, Bolyai Institute
Gergely Röst: University of Szeged, Bolyai Institute

A chapter in Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment, 2020, pp 71-80 from Springer

Abstract: Abstract Development of resistance to chemotherapy in patients with cancer strongly affects the patients’ outcome. Due to chemotherapeutic agents, Darwinian selection induces intrinsic resistance. Besides this, another process resulting in drug resistance may take place, when resistance emerges upon changes taking place inside the cells as a result of the therapeutic drug. A recent discovery in cancer research uncovered a third possibility, indicating that this phenotype conversion can occur via the transfer of microvesicles from resistant to sensitive cells, mimicking the spread of an infectious agent. We present a model describing the evolution of sensitive and resistant tumour cells considering such cell-to-cell interactions. We identify four threshold parameters which determine the existence and stability of the four possible equilibria. Using a simple Dulac function, we give a complete description of the dynamics of the model depending on the four threshold parameters. Numerical simulations are shown to demonstrate the possible effects of increasing drug concentration, and we characterize the possible bifurcation sequences.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-46306-9_5

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DOI: 10.1007/978-3-030-46306-9_5

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