Literature DB >> 18941752

Angiogenesis and vascular remodelling in normal and cancerous tissues.

Markus R Owen1, Tomás Alarcón, Philip K Maini, Helen M Byrne.   

Abstract

Vascular development and homeostasis are underpinned by two fundamental features: the generation of new vessels to meet the metabolic demands of under-perfused regions and the elimination of vessels that do not sustain flow. In this paper we develop the first multiscale model of vascular tissue growth that combines blood flow, angiogenesis, vascular remodelling and the subcellular and tissue scale dynamics of multiple cell populations. Simulations show that vessel pruning, due to low wall shear stress, is highly sensitive to the pressure drop across a vascular network, the degree of pruning increasing as the pressure drop increases. In the model, low tissue oxygen levels alter the internal dynamics of normal cells, causing them to release vascular endothelial growth factor (VEGF), which stimulates angiogenic sprouting. Consequently, the level of blood oxygenation regulates the extent of angiogenesis, with higher oxygenation leading to fewer vessels. Simulations show that network remodelling (and de novo network formation) is best achieved via an appropriate balance between pruning and angiogenesis. An important factor is the strength of endothelial tip cell chemotaxis in response to VEGF. When a cluster of tumour cells is introduced into normal tissue, as the tumour grows hypoxic regions form, producing high levels of VEGF that stimulate angiogenesis and cause the vascular density to exceed that for normal tissue. If the original vessel network is sufficiently sparse then the tumour may remain localised near its parent vessel until new vessels bridge the gap to an adjacent vessel. This can lead to metastable periods, during which the tumour burden is approximately constant, followed by periods of rapid growth.

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Year:  2008        PMID: 18941752     DOI: 10.1007/s00285-008-0213-z

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  44 in total

1.  Cell kinetics in a tumour cord.

Authors:  A Bertuzzi; A Gandolfi
Journal:  J Theor Biol       Date:  2000-06-21       Impact factor: 2.691

2.  Dll4 signalling through Notch1 regulates formation of tip cells during angiogenesis.

Authors:  Mats Hellström; Li-Kun Phng; Jennifer J Hofmann; Elisabet Wallgard; Leigh Coultas; Per Lindblom; Jackelyn Alva; Ann-Katrin Nilsson; Linda Karlsson; Nicholas Gaiano; Keejung Yoon; Janet Rossant; M Luisa Iruela-Arispe; Mattias Kalén; Holger Gerhardt; Christer Betsholtz
Journal:  Nature       Date:  2007-01-28       Impact factor: 49.962

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

Authors:  Steven R McDougall; Alexander R A Anderson; Mark A J Chaplain
Journal:  J Theor Biol       Date:  2006-02-17       Impact factor: 2.691

Review 4.  A systems approach to cancer therapy. (Antioncogenics + standard cytotoxics-->mechanism(s) of interaction).

Authors:  B A Teicher
Journal:  Cancer Metastasis Rev       Date:  1996-06       Impact factor: 9.264

5.  Effect of velocity of distribution on red cell distribution in capillary blood vessels.

Authors:  R T Yen; Y C Fung
Journal:  Am J Physiol       Date:  1978-08

6.  A mathematical model for the role of cell signal transduction in the initiation and inhibition of angiogenesis.

Authors:  Howard A Levine; Anna L Tucker; Marit Nilsen-Hamilton
Journal:  Growth Factors       Date:  2002-12       Impact factor: 2.511

Review 7.  Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy.

Authors:  Rakesh K Jain
Journal:  Science       Date:  2005-01-07       Impact factor: 47.728

8.  Agent-based simulation of notch-mediated tip cell selection in angiogenic sprout initialisation.

Authors:  Katie Bentley; Holger Gerhardt; Paul A Bates
Journal:  J Theor Biol       Date:  2007-09-19       Impact factor: 2.691

9.  Modeling of self-organized avascular tumor growth with a hybrid cellular automaton.

Authors:  Sabine Dormann; Andreas Deutsch
Journal:  In Silico Biol       Date:  2002

10.  A relationship between apoptosis and flow during programmed capillary regression is revealed by vital analysis.

Authors:  A Meeson; M Palmer; M Calfon; R Lang
Journal:  Development       Date:  1996-12       Impact factor: 6.868

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  63 in total

1.  A strain-cue hypothesis for biological network formation.

Authors:  Brian N Cox
Journal:  J R Soc Interface       Date:  2010-07-29       Impact factor: 4.118

Review 2.  Theoretical models for coronary vascular biomechanics: progress & challenges.

Authors:  Sarah L Waters; Jordi Alastruey; Daniel A Beard; Peter H M Bovendeerd; Peter F Davies; Girija Jayaraman; Oliver E Jensen; Jack Lee; Kim H Parker; Aleksander S Popel; Timothy W Secomb; Maria Siebes; Spencer J Sherwin; Rebecca J Shipley; Nicolas P Smith; Frans N van de Vosse
Journal:  Prog Biophys Mol Biol       Date:  2010-10-30       Impact factor: 3.667

3.  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

4.  Adhesion failures determine the pattern of choroidal neovascularization in the eye: a computer simulation study.

Authors:  Abbas Shirinifard; James Alexander Glazier; Maciej Swat; J Scott Gens; Fereydoon Family; Yi Jiang; Hans E Grossniklaus
Journal:  PLoS Comput Biol       Date:  2012-05-03       Impact factor: 4.475

5.  Using Fractal Geometry and Universal Growth Curves as Diagnostics for Comparing Tumor Vasculature and Metabolic Rate With Healthy Tissue and for Predicting Responses to Drug Therapies.

Authors:  Van M Savage; Alexander B Herman; Geoffrey B West; Kevin Leu
Journal:  Discrete Continuous Dyn Syst Ser B       Date:  2013-06       Impact factor: 1.327

Review 6.  Dissecting cancer through mathematics: from the cell to the animal model.

Authors:  Helen M Byrne
Journal:  Nat Rev Cancer       Date:  2010-03       Impact factor: 60.716

Review 7.  Physical oncology: a bench-to-bedside quantitative and predictive approach.

Authors:  Hermann B Frieboes; Mark A J Chaplain; Alastair M Thompson; Elaine L Bearer; John S Lowengrub; Vittorio Cristini
Journal:  Cancer Res       Date:  2011-01-11       Impact factor: 12.701

8.  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

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

10.  Tipping the balance: robustness of tip cell selection, migration and fusion in angiogenesis.

Authors:  Katie Bentley; Giovanni Mariggi; Holger Gerhardt; Paul A Bates
Journal:  PLoS Comput Biol       Date:  2009-10-30       Impact factor: 4.475

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