Non-local multiscale approaches for tumour-oncolytic viruses interactions

TY - JOUR

T1 - Non-local multiscale approaches for tumour-oncolytic viruses interactions

AU - Alsisi, Abdulhamed

AU - Eftimie, Raluca

AU - Trucu, Dumitru

PY - 2020/9/30

Y1 - 2020/9/30

N2 - Oncolytic virus (OV) therapy is a promising treatment for cancer due to the OV 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 macroscale 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.

AB - Oncolytic virus (OV) therapy is a promising treatment for cancer due to the OV 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 macroscale 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.

U2 - 10.5206/mase/10773

DO - 10.5206/mase/10773

M3 - Article

VL - 1

SP - 207

EP - 273

JO - Mathematics in Applied Sciences and Engineering

JF - Mathematics in Applied Sciences and Engineering

IS - 3

ER -