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Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801613/ https://www.ncbi.nlm.nih.gov/pubmed/33432093 http://dx.doi.org/10.1038/s41598-020-79824-8 |
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author | Yanagisawa, Hayato Sugimoto, Masahiro Miyashita, Tomoyuki |
author_facet | Yanagisawa, Hayato Sugimoto, Masahiro Miyashita, Tomoyuki |
author_sort | Yanagisawa, Hayato |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7801613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78016132021-01-12 Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression Yanagisawa, Hayato Sugimoto, Masahiro Miyashita, Tomoyuki Sci Rep Article 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. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801613/ /pubmed/33432093 http://dx.doi.org/10.1038/s41598-020-79824-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yanagisawa, Hayato Sugimoto, Masahiro Miyashita, Tomoyuki Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801613/ https://www.ncbi.nlm.nih.gov/pubmed/33432093 http://dx.doi.org/10.1038/s41598-020-79824-8 |
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