A novel method for simulating the extracellular matrix in models of tumour growth.
A novel hybrid continuum-discrete model to simulate tumour growth on a cellular scale is proposed. The lattice-based spatiotemporal model consists of reaction-diffusion equations that describe interactions between cancer cells and their microenvironment. The fundamental ingredients that are typically considered are the nutrient concentration, the extracellular matrix (ECM), and matrix degrading enzymes (MDEs). The in vivo processes are very complex and occur on different levels. This in turn leads to huge computational costs. The main contribution of the present work is therefore to describe the processes on the basis of simplified mathematical approaches, which, at the same time, depict realistic results to understand the biological processes. In this work, we discuss if we have to simulate the MDE or if the degraded matrix can be estimated directly with respect to the cancer cell distribution. Additionally, we compare the results for modelling tumour growth using the common and our simplified approach, thereby demonstrating the advantages of the proposed method. Therefore, we introduce variations of the positioning of the nutrient delivering blood vessels and use different initializations of the ECM. We conclude that the novel method, which does not explicitly model the matrix degrading enzymes, provides means for a straightforward and fast implementation for modelling tumour growth.
Institute of Medical Engineering, University of Lübeck, 23562 Lübeck, Germany.
Alina
A
Toma
Andreas
A
Mang
Tina A
TA
Schuetz
Stefan
S
Becker
Thorsten M
TM
Buzug
D000465:Algorithms; D001932:Brain Neoplasms / Q000473:pathology*; D002448:Cell Adhesion; D049109:Cell Proliferation; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D004058:Diffusion; D005109:Extracellular Matrix / Q000378:metabolism*; D006801:Humans; D008954:Models, Biological; D008962:Models, Theoretical; D009336:Necrosis; D009369:Neoplasms / Q000473:pathology*; D013997:Time Factors