Non-local multiscale approaches for tumour-oncolytic viruses interactions

IF 0.4 Q4 MATHEMATICS, APPLIED Mathematics in applied sciences and engineering Pub Date : 2020-09-27 DOI:10.5206/MASE/10773
Abdulhamed Alsisi, R. Eftimie, D. Trucu
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引用次数: 4

Abstract

Oncolytic virus (OV) therapy is a promising treatment for cancer due to the OVs selective ability to infect and replicate inside cancer cells, thus killing them, without harming healthy cells. In this work, we present a new non-local multiscale moving boundary model for the spatio-temporal cancer-OV interactions. This model explores an important double feedback loop that links the macro-scale dynamics of cancer-virus interactions and the micro-scale dynamics of proteolytic activity taking place at the tumour interface. The cancer cell-cell and cell-matrix interactions are assumed to be nonlocal, while the cell-virus interactions are assumed local. With the help of this model we investigate computationally various cancer treatment scenarios involving oncolytic viruses (i.e., the effect of injecting the OV inside the tumour, or outside it). Moreover, we investigate the effect of different cell-cell and cell-matrix interaction strengths on the success of OV spreading throughout the tumour, and the effect of constant or density-dependent virus diffusion coefficients on viral spread.
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肿瘤-溶瘤病毒相互作用的非局部多尺度方法
溶瘤病毒(OV)疗法是治疗癌症的一种很有前途的疗法,因为OV具有在癌症细胞内感染和复制的选择性能力,从而在不伤害健康细胞的情况下杀死它们。在这项工作中,我们提出了一个新的时空癌症-OV相互作用的非局部多尺度移动边界模型。该模型探索了一个重要的双反馈回路,该回路将癌症与病毒相互作用的宏观动力学和肿瘤界面发生的蛋白水解活性的微观动力学联系起来。假设癌症细胞-细胞和细胞-基质相互作用是非局部的,而假设细胞-病毒相互作用是局部的。在这个模型的帮助下,我们通过计算研究了涉及溶瘤病毒的各种癌症治疗方案(即,将OV注射到肿瘤内部或外部的效果)。此外,我们研究了不同细胞-细胞和细胞-基质相互作用强度对OV在整个肿瘤中成功传播的影响,以及恒定或密度依赖的病毒扩散系数对病毒传播的影响。
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CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
21 weeks
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