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Tumor growth for remodeling process: A 2D approach.

Authors :
Sánchez JF
Ramtani S
Boucetta A
Velasco MA
Vaca-González JJ
Duque-Daza CA
Garzón-Alvarado DA
Source :
Journal of theoretical biology [J Theor Biol] 2024 May 21; Vol. 585, pp. 111781. Date of Electronic Publication: 2024 Mar 02.
Publication Year :
2024

Abstract

This paper aims to present a comprehensive framework for coupling tumor-bone remodeling processes in a 2-dimensional geometry. This is achieved by introducing a bio-inspired damage that represents the growing tumor, which subsequently affects the main populations involved in the remodeling process, namely, osteoclasts, osteoblasts, and bone tissue. The model is constructed using a set of differential equations based on the Komarova's and Ayati's models, modified to incorporate the bio-inspired damage that may result in tumor mass formation. Three distinct models were developed. The first two models are based on the Komarova's governing equations, with one demonstrating an osteolytic behavior and the second one an osteoblastic model. The third model is a variation of Ayati's model, where the bio-inspired damage is induced through the paracrine and autocrine parameters, exhibiting an osteolytic behavior. The obtained results are consistent with existing literature, leading us to believe that our in-silico experiments will serve as a cornerstone for paving the way towards targeted interventions and personalized treatment strategies, ultimately improving the quality of life for those affected by these conditions.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024. Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
1095-8541
Volume :
585
Database :
MEDLINE
Journal :
Journal of theoretical biology
Publication Type :
Academic Journal
Accession number :
38432504
Full Text :
https://doi.org/10.1016/j.jtbi.2024.111781