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Stress generation, relaxation and size control in confined tumor growth

Experiments on tumor spheroids have shown that compressive stress from their environment can reversibly decrease tumor expansion rates and final sizes. Stress release experiments show that nonuniform anisotropic elastic stresses can be distributed throughout. The elastic stresses are maintained by s...

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Autores principales: Yan, Huaming, Ramirez-Guerrero, Daniel, Lowengrub, John, Wu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726498/
https://www.ncbi.nlm.nih.gov/pubmed/34932555
http://dx.doi.org/10.1371/journal.pcbi.1009701
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author Yan, Huaming
Ramirez-Guerrero, Daniel
Lowengrub, John
Wu, Min
author_facet Yan, Huaming
Ramirez-Guerrero, Daniel
Lowengrub, John
Wu, Min
author_sort Yan, Huaming
collection PubMed
description Experiments on tumor spheroids have shown that compressive stress from their environment can reversibly decrease tumor expansion rates and final sizes. Stress release experiments show that nonuniform anisotropic elastic stresses can be distributed throughout. The elastic stresses are maintained by structural proteins and adhesive molecules, and can be actively relaxed by a variety of biophysical processes. In this paper, we present a new continuum model to investigate how the growth-induced elastic stresses and active stress relaxation, in conjunction with cell size control feedback machinery, regulate the cell density and stress distributions within growing tumors as well as the tumor sizes in the presence of external physical confinement and gradients of growth-promoting chemical fields. We introduce an adaptive reference map that relates the current position with the reference position but adapts to the current position in the Eulerian frame (lab coordinates) via relaxation. This type of stress relaxation is similar to but simpler than the classical Maxwell model of viscoelasticity in its formulation. By fitting the model to experimental data from two independent studies of tumor spheroid growth and their cell density distributions, treating the tumors as incompressible, neo-Hookean elastic materials, we find that the rates of stress relaxation of tumor tissues can be comparable to volumetric growth rates. Our study provides insight on how the biophysical properties of the tumor and host microenvironment, mechanical feedback control and diffusion-limited differential growth act in concert to regulate spatial patterns of stress and growth. When the tumor is stiffer than the host, our model predicts tumors are more able to change their size and mechanical state autonomously, which may help to explain why increased tumor stiffness is an established hallmark of malignant tumors.
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spelling pubmed-87264982022-01-05 Stress generation, relaxation and size control in confined tumor growth Yan, Huaming Ramirez-Guerrero, Daniel Lowengrub, John Wu, Min PLoS Comput Biol Research Article Experiments on tumor spheroids have shown that compressive stress from their environment can reversibly decrease tumor expansion rates and final sizes. Stress release experiments show that nonuniform anisotropic elastic stresses can be distributed throughout. The elastic stresses are maintained by structural proteins and adhesive molecules, and can be actively relaxed by a variety of biophysical processes. In this paper, we present a new continuum model to investigate how the growth-induced elastic stresses and active stress relaxation, in conjunction with cell size control feedback machinery, regulate the cell density and stress distributions within growing tumors as well as the tumor sizes in the presence of external physical confinement and gradients of growth-promoting chemical fields. We introduce an adaptive reference map that relates the current position with the reference position but adapts to the current position in the Eulerian frame (lab coordinates) via relaxation. This type of stress relaxation is similar to but simpler than the classical Maxwell model of viscoelasticity in its formulation. By fitting the model to experimental data from two independent studies of tumor spheroid growth and their cell density distributions, treating the tumors as incompressible, neo-Hookean elastic materials, we find that the rates of stress relaxation of tumor tissues can be comparable to volumetric growth rates. Our study provides insight on how the biophysical properties of the tumor and host microenvironment, mechanical feedback control and diffusion-limited differential growth act in concert to regulate spatial patterns of stress and growth. When the tumor is stiffer than the host, our model predicts tumors are more able to change their size and mechanical state autonomously, which may help to explain why increased tumor stiffness is an established hallmark of malignant tumors. Public Library of Science 2021-12-21 /pmc/articles/PMC8726498/ /pubmed/34932555 http://dx.doi.org/10.1371/journal.pcbi.1009701 Text en © 2021 Yan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yan, Huaming
Ramirez-Guerrero, Daniel
Lowengrub, John
Wu, Min
Stress generation, relaxation and size control in confined tumor growth
title Stress generation, relaxation and size control in confined tumor growth
title_full Stress generation, relaxation and size control in confined tumor growth
title_fullStr Stress generation, relaxation and size control in confined tumor growth
title_full_unstemmed Stress generation, relaxation and size control in confined tumor growth
title_short Stress generation, relaxation and size control in confined tumor growth
title_sort stress generation, relaxation and size control in confined tumor growth
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726498/
https://www.ncbi.nlm.nih.gov/pubmed/34932555
http://dx.doi.org/10.1371/journal.pcbi.1009701
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