<p>We consider a cell population structured by a positive real number <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(x\in \mathbb {R}_+\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>x</mi> <mo>∈</mo> <msub> <mi mathvariant="double-struck">R</mi> <mo>+</mo> </msub> </mrow> </math></EquationSource> </InlineEquation>, which represents the number of P-glycoproteins carried by the cell. These proteins combine two interesting properties: they are involved in the resistance of cancer cells to chemotherapy drugs, and the cells undergo frequent transfers of those proteins. In this article, we introduce a kinetic model to describe the dynamics of the cell population. We then consider an asymptotic limit of this equation: if transfers are frequent, the population can be described through a system of two coupled ordinary differential equations. Finally, we show that the solutions of the kinetic model converge to a unique steady-state in large times. The main idea of this manuscript is to combine Wasserstein distance estimates on the kinetic operator with more classical estimates on the macroscopic quantities.</p>

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Dynamics of a kinetic model describing protein transfers in a cell population

  • Pierre Magal,
  • Gaël Raoul

摘要

We consider a cell population structured by a positive real number \(x\in \mathbb {R}_+\) x R + , which represents the number of P-glycoproteins carried by the cell. These proteins combine two interesting properties: they are involved in the resistance of cancer cells to chemotherapy drugs, and the cells undergo frequent transfers of those proteins. In this article, we introduce a kinetic model to describe the dynamics of the cell population. We then consider an asymptotic limit of this equation: if transfers are frequent, the population can be described through a system of two coupled ordinary differential equations. Finally, we show that the solutions of the kinetic model converge to a unique steady-state in large times. The main idea of this manuscript is to combine Wasserstein distance estimates on the kinetic operator with more classical estimates on the macroscopic quantities.