Department of Mathematics, University of Maryland, College Park, MD, 20742, USA.
Department of Mathematics and Center for Scientific Computation and Mathematical Modeling (CSCAMM), University of Maryland, College Park, MD, 20742, USA.
Bull Math Biol. 2017 Oct;79(10):2394-2412. doi: 10.1007/s11538-017-0334-x. Epub 2017 Aug 29.
ABC efflux transporters are a key factor leading to multidrug resistance in cancer. Overexpression of these transporters significantly decreases the efficacy of anti-cancer drugs. Along with selection and induction, drug resistance may be transferred between cells, which is the focus of this paper. Specifically, we consider the intercellular transfer of P-glycoprotein (P-gp), a well-known ABC transporter that was shown to confer resistance to many common chemotherapeutic drugs. In a recent paper, Durán et al. (Bull Math Biol 78(6):1218-1237, 2016) studied the dynamics of mixed cultures of resistant and sensitive NCI-H460 (human non-small lung cancer) cell lines. As expected, the experimental data showed a gradual increase in the percentage of resistance cells and a decrease in the percentage of sensitive cells. The experimental work was accompanied with a mathematical model that assumed P-gp transfer from resistant cells to sensitive cells, rendering them temporarily resistant. The mathematical model provided a reasonable fit to the experimental data. In this paper, we develop a new mathematical model for the transfer of drug resistance between cancer cells. Our model is based on incorporating a resistance phenotype into a model of cancer growth (Greene et al. in J Theor Biol 367:262-277, 2015). The resulting model for P-gp transfer, written as a system of integro-differential equations, follows the dynamics of proliferating, quiescent, and apoptotic cells, with a varying resistance phenotype. We show that this model provides a good match to the dynamics of the experimental data of Durán et al. (2016). The mathematical model shows a better fit when resistant cancer cells have a slower division rate than the sensitive cells.
ABC 外排转运蛋白是导致癌症多药耐药的一个关键因素。这些转运蛋白的过度表达会显著降低抗癌药物的疗效。除了选择和诱导作用外,耐药性可能在细胞之间转移,这也是本文的重点。具体来说,我们考虑了 P-糖蛋白(P-gp)的细胞间转移,P-gp 是一种众所周知的 ABC 转运蛋白,它被证明能使许多常用的化疗药物产生耐药性。在最近的一篇论文中,Durán 等人(Bull Math Biol 78(6):1218-1237, 2016)研究了耐药和敏感的 NCI-H460(人非小细胞肺癌)细胞系混合培养物的动力学。正如预期的那样,实验数据显示耐药细胞的百分比逐渐增加,敏感细胞的百分比减少。实验工作伴随着一个数学模型,该模型假设 P-gp 从耐药细胞转移到敏感细胞,使它们暂时耐药。该数学模型与实验数据吻合得很好。在本文中,我们开发了一个新的数学模型来研究癌细胞之间耐药性的转移。我们的模型是基于将耐药表型纳入癌症生长模型(Greene 等人,J Theor Biol 367:262-277, 2015)。由此得到的 P-gp 转移模型,作为一个积分微分方程组,遵循增殖、静止和凋亡细胞的动力学,具有不同的耐药表型。我们表明,该模型与 Durán 等人(2016)的实验数据的动力学很好地吻合。当耐药癌细胞的分裂速度比敏感癌细胞慢时,数学模型的拟合效果更好。