Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression

Abstract Excessive tumour growth results in a hypoxic environment around cancer cells, thus inducing tumour angiogenesis, which refers to the generation of new blood vessels from pre-existing vessels. This mechanism is biologically and physically complex, with various mathematical simulation models...

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Main Authors: Hayato Yanagisawa, Masahiro Sugimoto, Tomoyuki Miyashita
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-79824-8
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spelling doaj-09d523bee4684cfe980bd21d34964a572021-01-17T12:42:54ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111310.1038/s41598-020-79824-8Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regressionHayato Yanagisawa0Masahiro Sugimoto1Tomoyuki Miyashita2Faculty of Science and Engineering, Waseda UniversityResearch and Development Centre for Minimally Invasive Therapies, Medical Research Institute, Tokyo Medical UniversityFaculty of Science and Engineering, Waseda UniversityAbstract Excessive tumour growth results in a hypoxic environment around cancer cells, thus inducing tumour angiogenesis, which refers to the generation of new blood vessels from pre-existing vessels. This mechanism is biologically and physically complex, with various mathematical simulation models proposing to reproduce its formation. However, although temporary vessel regression is clinically known, few models succeed in reproducing this phenomenon. Here, we developed a three-dimensional simulation model encompassing both angiogenesis and tumour growth, specifically including angiopoietin. Angiopoietin regulates both adhesion and migration between vascular endothelial cells and wall cells, thus inhibiting the cell-to-cell adhesion required for angiogenesis initiation. Simulation results showed a regression, i.e. transient decrease, in the overall length of new vessels during vascular network formation. Using our model, we also evaluated the efficacy of administering the drug bevacizumab. The results highlighted differences in treatment efficacy: (1) earlier administration showed higher efficacy in inhibiting tumour growth, and (2) efficacy depended on the treatment interval even with the administration of the same dose. After thorough validation in the future, these results will contribute to the design of angiogenesis treatment protocols.https://doi.org/10.1038/s41598-020-79824-8
collection DOAJ
language English
format Article
sources DOAJ
author Hayato Yanagisawa
Masahiro Sugimoto
Tomoyuki Miyashita
spellingShingle Hayato Yanagisawa
Masahiro Sugimoto
Tomoyuki Miyashita
Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
Scientific Reports
author_facet Hayato Yanagisawa
Masahiro Sugimoto
Tomoyuki Miyashita
author_sort Hayato Yanagisawa
title Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
title_short Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
title_full Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
title_fullStr Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
title_full_unstemmed Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
title_sort mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-01-01
description Abstract Excessive tumour growth results in a hypoxic environment around cancer cells, thus inducing tumour angiogenesis, which refers to the generation of new blood vessels from pre-existing vessels. This mechanism is biologically and physically complex, with various mathematical simulation models proposing to reproduce its formation. However, although temporary vessel regression is clinically known, few models succeed in reproducing this phenomenon. Here, we developed a three-dimensional simulation model encompassing both angiogenesis and tumour growth, specifically including angiopoietin. Angiopoietin regulates both adhesion and migration between vascular endothelial cells and wall cells, thus inhibiting the cell-to-cell adhesion required for angiogenesis initiation. Simulation results showed a regression, i.e. transient decrease, in the overall length of new vessels during vascular network formation. Using our model, we also evaluated the efficacy of administering the drug bevacizumab. The results highlighted differences in treatment efficacy: (1) earlier administration showed higher efficacy in inhibiting tumour growth, and (2) efficacy depended on the treatment interval even with the administration of the same dose. After thorough validation in the future, these results will contribute to the design of angiogenesis treatment protocols.
url https://doi.org/10.1038/s41598-020-79824-8
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AT tomoyukimiyashita mathematicalsimulationoftumourangiogenesisangiopoietinbalanceisakeyfactorinvesselgrowthandregression
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