How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.

Changes in extracellular matrix (ECM) structure or mechanics can actively drive cancer progression; however, the underlying mechanism remains unknown. Here we explore whether this process could be mediated by changes in cell shape that lead to increases in genetic noise, given that both factors have...

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Main Authors: Justin Werfel, Silva Krause, Ashley G Bischof, Robert J Mannix, Heather Tobin, Yaneer Bar-Yam, Robert M Bellin, Donald E Ingber
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24098430/?tool=EBI
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spelling doaj-9f06e57e54424523ac945a502435ac642021-03-03T20:19:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7612210.1371/journal.pone.0076122How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.Justin WerfelSilva KrauseAshley G BischofRobert J MannixHeather TobinYaneer Bar-YamRobert M BellinDonald E IngberChanges in extracellular matrix (ECM) structure or mechanics can actively drive cancer progression; however, the underlying mechanism remains unknown. Here we explore whether this process could be mediated by changes in cell shape that lead to increases in genetic noise, given that both factors have been independently shown to alter gene expression and induce cell fate switching. We do this using a computer simulation model that explores the impact of physical changes in the tissue microenvironment under conditions in which physical deformation of cells increases gene expression variability among genetically identical cells. The model reveals that cancerous tissue growth can be driven by physical changes in the microenvironment: when increases in cell shape variability due to growth-dependent increases in cell packing density enhance gene expression variation, heterogeneous autonomous growth and further structural disorganization can result, thereby driving cancer progression via positive feedback. The model parameters that led to this prediction are consistent with experimental measurements of mammary tissues that spontaneously undergo cancer progression in transgenic C3(1)-SV40Tag female mice, which exhibit enhanced stiffness of mammary ducts, as well as progressive increases in variability of cell-cell relations and associated cell shape changes. These results demonstrate the potential for physical changes in the tissue microenvironment (e.g., altered ECM mechanics) to induce a cancerous phenotype or accelerate cancer progression in a clonal population through local changes in cell geometry and increased phenotypic variability, even in the absence of gene mutation.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24098430/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Justin Werfel
Silva Krause
Ashley G Bischof
Robert J Mannix
Heather Tobin
Yaneer Bar-Yam
Robert M Bellin
Donald E Ingber
spellingShingle Justin Werfel
Silva Krause
Ashley G Bischof
Robert J Mannix
Heather Tobin
Yaneer Bar-Yam
Robert M Bellin
Donald E Ingber
How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
PLoS ONE
author_facet Justin Werfel
Silva Krause
Ashley G Bischof
Robert J Mannix
Heather Tobin
Yaneer Bar-Yam
Robert M Bellin
Donald E Ingber
author_sort Justin Werfel
title How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
title_short How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
title_full How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
title_fullStr How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
title_full_unstemmed How changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
title_sort how changes in extracellular matrix mechanics and gene expression variability might combine to drive cancer progression.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Changes in extracellular matrix (ECM) structure or mechanics can actively drive cancer progression; however, the underlying mechanism remains unknown. Here we explore whether this process could be mediated by changes in cell shape that lead to increases in genetic noise, given that both factors have been independently shown to alter gene expression and induce cell fate switching. We do this using a computer simulation model that explores the impact of physical changes in the tissue microenvironment under conditions in which physical deformation of cells increases gene expression variability among genetically identical cells. The model reveals that cancerous tissue growth can be driven by physical changes in the microenvironment: when increases in cell shape variability due to growth-dependent increases in cell packing density enhance gene expression variation, heterogeneous autonomous growth and further structural disorganization can result, thereby driving cancer progression via positive feedback. The model parameters that led to this prediction are consistent with experimental measurements of mammary tissues that spontaneously undergo cancer progression in transgenic C3(1)-SV40Tag female mice, which exhibit enhanced stiffness of mammary ducts, as well as progressive increases in variability of cell-cell relations and associated cell shape changes. These results demonstrate the potential for physical changes in the tissue microenvironment (e.g., altered ECM mechanics) to induce a cancerous phenotype or accelerate cancer progression in a clonal population through local changes in cell geometry and increased phenotypic variability, even in the absence of gene mutation.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24098430/?tool=EBI
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