Literature DB >> 21392511

Coupled modelling of tumour angiogenesis, tumour growth and blood perfusion.

Yan Cai1, Shixiong Xu, Jie Wu, Quan Long.   

Abstract

We propose a mathematical modelling system to investigate the dynamic process of tumour cell proliferation, death and tumour angiogenesis by fully coupling the vessel growth, tumour growth and blood perfusion. Tumour growth and angiogenesis are coupled by the chemical microenvironment and the cell-matrix interaction. The haemodynamic calculation is carried out on the updated vasculature. The domains of intravascular, transcapillary and interstitial fluid flow were coupled in the model to provide a comprehensive solution of blood perfusion variables. An estimation of vessel collapse is made according to the wall shear stress criterion to provide feedback on vasculature remodelling. The simulation can show the process of tumour angiogenesis and the spatial distribution of tumour cells for periods of up to 24 days. It can show the major features of tumour and tumour microvasculature during the period such as the formation of a large necrotic core in the tumour centre with few functional vessels passing through, and a well circulated tumour periphery regions in which the microvascular density is high and associated with more aggressive proliferating cells of the growing tumour which are all consistent with physiological observations. The study also demonstrated that the simulation results are not dependent on the initial tumour and networks, which further confirms the application of the coupled model feedback mechanisms. The model enables us to examine the interactions between angiogenesis and tumour growth, and to study the dynamic response of a solid tumour to the changes in the microenvironment. This simulation framework can be a foundation for further applications such as drug delivery and anti-angiogenic therapies. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21392511     DOI: 10.1016/j.jtbi.2011.02.017

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  28 in total

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2.  Clinically relevant modeling of tumor growth and treatment response.

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3.  Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta; Thomas E Yankeelov
Journal:  Phys Biol       Date:  2015-06-04       Impact factor: 2.583

4.  The effect of interstitial pressure on therapeutic agent transport: coupling with the tumor blood and lymphatic vascular systems.

Authors:  Min Wu; Hermann B Frieboes; Mark A J Chaplain; Steven R McDougall; Vittorio Cristini; John S Lowengrub
Journal:  J Theor Biol       Date:  2014-04-19       Impact factor: 2.691

5.  Reply to Ciccolini et al.: Using mathematical modeling to predict response to antiangiogenic therapy in cancer patients.

Authors:  Dan G Duda; Rebecca S Heist; Dushyant V Sahani; Triantafyllos Stylianopoulos; Jeffrey A Engelman; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-16       Impact factor: 11.205

Review 6.  Influence of the microenvironment on cell fate determination and migration.

Authors:  Alexander B Bloom; Muhammad H Zaman
Journal:  Physiol Genomics       Date:  2014-03-11       Impact factor: 3.107

7.  The effect of interstitial pressure on tumor growth: coupling with the blood and lymphatic vascular systems.

Authors:  Min Wu; Hermann B Frieboes; Steven R McDougall; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Theor Biol       Date:  2012-12-07       Impact factor: 2.691

8.  An imaging-based computational model for simulating angiogenesis and tumour oxygenation dynamics.

Authors:  Vikram Adhikarla; Robert Jeraj
Journal:  Phys Med Biol       Date:  2016-04-27       Impact factor: 3.609

9.  A mathematical model of angiogenesis and tumor growth: analysis and application in anti-angiogenesis therapy.

Authors:  Xiaoming Zheng; Mohye Sweidan
Journal:  J Math Biol       Date:  2018-07-17       Impact factor: 2.259

10.  Dynamics of angiogenesis during murine retinal development: a coupled in vivo and in silico study.

Authors:  M G Watson; S R McDougall; M A J Chaplain; A H Devlin; C A Mitchell
Journal:  J R Soc Interface       Date:  2012-03-21       Impact factor: 4.118

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