Literature DB >> 23653256

Capillary networks in tumor angiogenesis: from discrete endothelial cells to phase-field averaged descriptions via isogeometric analysis.

Guillermo Vilanova1, Ignasi Colominas, Hector Gomez.   

Abstract

Tumor angiogenesis, the growth of new capillaries from preexisting ones promoted by the starvation and hypoxia of cancerous cell, creates complex biological patterns. These patterns are captured by a hybrid model that involves high-order partial differential equations coupled with mobile, agent-based components. The continuous equations of the model rely on the phase-field method to describe the intricate interfaces between the vasculature and the host tissue. The discrete equations are posed on a cellular scale and treat tip endothelial cells as mobile agents. Here, we put the model into a coherent mathematical and algorithmic framework and introduce a numerical method based on isogeometric analysis that couples the discrete and continuous descriptions of the theory. Using our algorithms, we perform numerical simulations that show the development of the vasculature around a tumor. The new method permitted us to perform a parametric study of the model. Furthermore, we investigate different initial configurations to study the growth of the new capillaries. The simulations illustrate the accuracy and efficiency of our numerical method and provide insight into the dynamics of the governing equations as well as into the underlying physical phenomenon.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  biological patterns; capillary growth; isogeometric analysis; numerical simulation; tumor angiogenesis

Mesh:

Year:  2013        PMID: 23653256     DOI: 10.1002/cnm.2552

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  10 in total

1.  Phase-field modeling of constrained interactive fungal networks.

Authors:  F Ghanbari; F Costanzo; D P Hughes; C Peco
Journal:  J Mech Phys Solids       Date:  2020-09-19       Impact factor: 5.471

2.  Soluble VEGFR1 signaling guides vascular patterns into dense branching morphologies.

Authors:  Dóra Lakatos; Ellák Somfai; Előd Méhes; András Czirók
Journal:  J Theor Biol       Date:  2018-08-04       Impact factor: 2.691

3.  Computational modelling suggests complex interactions between interstitial flow and tumour angiogenesis.

Authors:  Guillermo Vilanova; Miguel Burés; Ignasi Colominas; Hector Gomez
Journal:  J R Soc Interface       Date:  2018-09       Impact factor: 4.118

4.  A mathematical model of tumour angiogenesis: growth, regression and regrowth.

Authors:  Guillermo Vilanova; Ignasi Colominas; Hector Gomez
Journal:  J R Soc Interface       Date:  2017-01       Impact factor: 4.118

5.  A Mathematical Model Coupling Tumor Growth and Angiogenesis.

Authors:  Jiangping Xu; Guillermo Vilanova; Hector Gomez
Journal:  PLoS One       Date:  2016-02-18       Impact factor: 3.240

6.  Effects of endothelial cell proliferation and migration rates in a computational model of sprouting angiogenesis.

Authors:  Kerri-Ann Norton; Aleksander S Popel
Journal:  Sci Rep       Date:  2016-11-14       Impact factor: 4.379

7.  Angiogenic Factors produced by Hypoxic Cells are a leading driver of Anastomoses in Sprouting Angiogenesis-a computational study.

Authors:  Maurício Moreira-Soares; Rita Coimbra; Luís Rebelo; João Carvalho; Rui D M Travasso
Journal:  Sci Rep       Date:  2018-06-07       Impact factor: 4.379

8.  Modelling Tumor-induced Angiogenesis: Combination of Stochastic Sprout Spacing and Sprout Progression.

Authors:  F Hosseini; N Naghavi
Journal:  J Biomed Phys Eng       Date:  2017-09-01

9.  Tumour angiogenesis as a chemo-mechanical surface instability.

Authors:  Chiara Giverso; Pasquale Ciarletta
Journal:  Sci Rep       Date:  2016-03-07       Impact factor: 4.379

10.  Inverting angiogenesis with interstitial flow and chemokine matrix-binding affinity.

Authors:  Adrian Moure; Guillermo Vilanova; Hector Gomez
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

  10 in total

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