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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Bibliographic Details
Main Authors: Lowengrub, J. (Author), Ramirez-Guerrero, D. (Author), Wu, M. (Author), Yan, H. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03987nam a2200661Ia 4500
001 10.1371-journal.pcbi.1009701
008 220427s2021 CNT 000 0 und d
020 |a 1553734X (ISSN) 
245 1 0 |a Stress generation, relaxation and size control in confined tumor growth 
260 0 |b Public Library of Science  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1371/journal.pcbi.1009701 
520 3 |a 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. © 2021 Yan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 
650 0 4 |a anisotropy 
650 0 4 |a Anisotropy 
650 0 4 |a article 
650 0 4 |a biology 
650 0 4 |a Biomechanical Phenomena 
650 0 4 |a biomechanics 
650 0 4 |a cancer growth 
650 0 4 |a cancer model 
650 0 4 |a cancer size 
650 0 4 |a cell density 
650 0 4 |a Cell Line, Tumor 
650 0 4 |a cell proliferation 
650 0 4 |a Cell Proliferation 
650 0 4 |a cell size 
650 0 4 |a Computational Biology 
650 0 4 |a controlled study 
650 0 4 |a cytology 
650 0 4 |a diffusion 
650 0 4 |a feedback system 
650 0 4 |a growth rate 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a leisure 
650 0 4 |a mechanical stress 
650 0 4 |a microenvironment 
650 0 4 |a multicellular spheroid 
650 0 4 |a neoplasm 
650 0 4 |a Neoplasms 
650 0 4 |a pathology 
650 0 4 |a pathophysiology 
650 0 4 |a physiological stress 
650 0 4 |a physiology 
650 0 4 |a rigidity 
650 0 4 |a Spheroids, Cellular 
650 0 4 |a Stress, Mechanical 
650 0 4 |a tumor cell culture 
650 0 4 |a tumor cell line 
650 0 4 |a Tumor Cells, Cultured 
650 0 4 |a tumor growth 
650 0 4 |a tumor spheroid 
650 0 4 |a viscoelasticity 
700 1 |a Lowengrub, J.  |e author 
700 1 |a Ramirez-Guerrero, D.  |e author 
700 1 |a Wu, M.  |e author 
700 1 |a Yan, H.  |e author 
773 |t PLoS Computational Biology