Selected aspects of avascular tumor growth reproduced by a hybrid model of cell dynamics and chemical kinetics.

Autor: Scianna M; Department of Mathematical Sciences, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. Electronic address: marco.scianna@polito.it.
Jazyk: angličtina
Zdroj: Mathematical biosciences [Math Biosci] 2024 Apr; Vol. 370, pp. 109168. Date of Electronic Publication: 2024 Feb 24.
DOI: 10.1016/j.mbs.2024.109168
Abstrakt: We here propose a hybrid computational framework to reproduce and analyze aspects of the avascular progression of a generic solid tumor. Our method first employs an individual-based approach to represent the population of tumor cells, which are distinguished in viable and necrotic agents. The active part of the disease is in turn differentiated according to a set of metabolic states. We then describe the spatio-temporal evolution of the concentration of oxygen and of tumor-secreted proteolytic enzymes using partial differential equations (PDEs). A differential equation finally governs the local degradation of the extracellular matrix (ECM) by the malignant mass. Numerical realizations of the model are run to reproduce tumor growth and invasion in a number scenarios that differ for cell properties (adhesiveness, duplication potential, proteolytic activity) and/or environmental conditions (level of tissue oxygenation and matrix density pattern). In particular, our simulations suggest that tumor aggressiveness, in terms of invasive depth and extension of necrotic tissue, can be reduced by (i) stable cell-cell contact interactions, (ii) poor tendency of malignant agents to chemotactically move upon oxygen gradients, and (iii) presence of an overdense matrix, if coupled by a disrupted proteolytic activity of the disease.
Competing Interests: Declaration of competing interest I declare to have no conflict of interest relative to the submitted manuscript.
(Copyright © 2024 The Author. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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