Timalsina Asim, Tian Jianjun Paul, Wang Jin
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, 23529, USA.
Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.
Bull Math Biol. 2017 Aug;79(8):1736-1758. doi: 10.1007/s11538-017-0304-3. Epub 2017 Jun 7.
We propose a new mathematical modeling framework based on partial differential equations to study tumor virotherapy with mediated immunity. The model incorporates both innate and adaptive immune responses and represents the complex interaction among tumor cells, oncolytic viruses, and immune systems on a domain with a moving boundary. Using carefully designed computational methods, we conduct extensive numerical simulation to the model. The results allow us to examine tumor development under a wide range of settings and provide insight into several important aspects of the virotherapy, including the dependence of the efficacy on a few key parameters and the delay in the adaptive immunity. Our findings also suggest possible ways to improve the virotherapy for tumor treatment.
我们提出了一种基于偏微分方程的新数学建模框架,用于研究介导免疫的肿瘤病毒疗法。该模型纳入了先天性和适应性免疫反应,并在具有移动边界的区域上表示肿瘤细胞、溶瘤病毒和免疫系统之间的复杂相互作用。通过精心设计的计算方法,我们对该模型进行了广泛的数值模拟。结果使我们能够在广泛的设置下研究肿瘤发展,并深入了解病毒疗法的几个重要方面,包括疗效对几个关键参数的依赖性以及适应性免疫中的延迟。我们的研究结果还提出了改善肿瘤治疗病毒疗法的可能方法。