Literature DB >> 16487543

Mathematical modelling of dynamic adaptive tumour-induced angiogenesis: clinical implications and therapeutic targeting strategies.

Steven R McDougall1, Alexander R A Anderson, Mark A J Chaplain.   

Abstract

Angiogenesis, the growth of a network of blood vessels, is a crucial component of solid tumour growth, linking the relatively harmless avascular growth phase and the potentially fatal vascular growth phase. As a process, angiogenesis is a well-orchestrated sequence of events involving endothelial cell migration, proliferation; degradation of tissue; new capillary vessel (sprout) formation; loop formation (anastomosis) and, crucially, blood flow through the network. Once there is blood flow associated with the nascent network, the subsequent growth of the network evolves both temporally and spatially in response to the combined effects of angiogenic factors, migratory cues via the extracellular matrix and perfusion-related haemodynamic forces in a manner that may be described as both adaptive and dynamic. In this paper we present a mathematical model which simultaneously couples vessel growth with blood flow through the vessels--dynamic adaptive tumour-induced angiogenesis (DATIA). This new mathematical model presents a theoretical and computational investigation of the process and highlights a number of important new targets for therapeutic intervention. In contrast to earlier flow models, where the effects of perfusion (blood flow) were essentially evaluated a posteriori, i.e. after generating a hollow network, blood flow in the model described in this paper has a direct impact during capillary growth, with radial adaptations and network remodelling occurring as immediate consequences of primary anastomoses. Capillary network architectures resulting from the dynamically adaptive model are found to differ radically from those obtained using earlier models. The DATIA model is used to examine the effects of changing various physical and biological model parameters on the developing vascular architecture and the delivery of chemotherapeutic drugs to the tumour. Subsequent simulations of chemotherapeutic treatments under different parameter regimes lead to the identification of a number of new therapeutic targets for tumour management.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16487543     DOI: 10.1016/j.jtbi.2005.12.022

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


  123 in total

1.  Physical determinants of vascular network remodeling during tumor growth.

Authors:  M Welter; H Rieger
Journal:  Eur Phys J E Soft Matter       Date:  2010-07-06       Impact factor: 1.890

2.  Phase 2 study of neoadjuvant docetaxel plus bevacizumab in patients with high-risk localized prostate cancer: a Prostate Cancer Clinical Trials Consortium trial.

Authors:  Robert W Ross; Matthew D Galsky; Phil Febbo; Marc Barry; Jerome P Richie; Wanling Xie; Fiona M Fennessy; Rupal S Bhatt; Julia Hayes; Toni K Choueiri; Clare M Tempany; Philip W Kantoff; Mary E Taplin; William K Oh
Journal:  Cancer       Date:  2012-01-26       Impact factor: 6.860

Review 3.  Systems biology of the microvasculature.

Authors:  Lindsay E Clegg; Feilim Mac Gabhann
Journal:  Integr Biol (Camb)       Date:  2015-04-02       Impact factor: 2.192

4.  Optimal planar flow network designs for tissue engineered constructs with built-in vasculature.

Authors:  Vijayakumar Janakiraman; Kamlesh Mathur; Harihara Baskaran
Journal:  Ann Biomed Eng       Date:  2007-01-03       Impact factor: 3.934

5.  Dedicated 3D photoacoustic breast imaging.

Authors:  Robert A Kruger; Cherie M Kuzmiak; Richard B Lam; Daniel R Reinecke; Stephen P Del Rio; Doreen Steed
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

6.  A 2D mechanistic model of breast ductal carcinoma in situ (DCIS) morphology and progression.

Authors:  Kerri-Ann Norton; Michael Wininger; Gyan Bhanot; Shridar Ganesan; Nicola Barnard; Troy Shinbrot
Journal:  J Theor Biol       Date:  2009-12-16       Impact factor: 2.691

7.  Computer simulation of glioma growth and morphology.

Authors:  Hermann B Frieboes; John S Lowengrub; S Wise; X Zheng; Paul Macklin; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-03-23       Impact factor: 6.556

8.  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

9.  A cell-based model of extracellular-matrix-guided endothelial cell migration during angiogenesis.

Authors:  Josephine T Daub; Roeland M H Merks
Journal:  Bull Math Biol       Date:  2013-03-15       Impact factor: 1.758

Review 10.  In silico cancer modeling: is it ready for prime time?

Authors:  Thomas S Deisboeck; Le Zhang; Jeongah Yoon; Jose Costa
Journal:  Nat Clin Pract Oncol       Date:  2008-10-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.