Non-local multiscale approach for the impact of go or grow hypothesis on tumour-viruses interactions

We propose and study computationally a novel non-local multiscale moving boundary mathematical model for tumour oncolytic virus (OV) interactions when we consider the go or grow hypothesis cancer dynamics. This spatio-temporal focuses on two cell phenotypes that can be infected with OV remain uninfected, which either move in response to extracellular-matrix (ECM) density proliferate. The between cells, those among cells ECM, occur at macroscale. At micro-scale, focus matrix degrading enzymes (MDEs) impact movement of boundary. With help this explore invasion patterns different assumptions regard cell-cell cell-matrix interactions. In particular investigate dynamics assume fluxes are result local advection extracellular (ECM), cell-ECM adhesion. also role transition rates mainly-moving mainly-growing sub-populations, as well infection rate replication overall