Literature DB >> 17996256

Emergent vascular network inhomogeneities and resulting blood flow patterns in a growing tumor.

M Welter1, K Bartha, H Rieger.   

Abstract

Tumors acquire sufficient oxygen and nutrient supply by coopting host vessels and neovasculature created via angiogenesis, thereby transforming a highly ordered network into chaotic heterogeneous tumor specific vasculature. Vessel regression inside the tumor leads to large regions of necrotic tissue interspersed with isolated surviving vessels. We extend our recently introduced model to incorporate Fahraeus-Lindqvist- and phase separation effects, refined tissue oxygen level computation and drug flow computations. We find, unexpectedly, that collapse and regression accelerates rather than diminishes the perfusion and that a tracer substance flowing through the remodeled network reaches all parts of the tumor vasculature very well. The reason for decreased drug delivery well known in tumors should therefore be different from collapse and vessel regression. Implications for drug delivery in real tumors are discussed.

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Year:  2007        PMID: 17996256     DOI: 10.1016/j.jtbi.2007.09.031

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


  24 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.  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

3.  Flow-correlated dilution of a regular network leads to a percolating network during tumor-induced angiogenesis.

Authors:  R Paul
Journal:  Eur Phys J E Soft Matter       Date:  2009-09-24       Impact factor: 1.890

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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.  Adaptation to Stochastic Temporal Variations in Intratumoral Blood Flow: The Warburg Effect as a Bet Hedging Strategy.

Authors:  Curtis A Gravenmier; Miriam Siddique; Robert A Gatenby
Journal:  Bull Math Biol       Date:  2017-05-15       Impact factor: 1.758

6.  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

7.  Mathematical Oncology: How Are the Mathematical and Physical Sciences Contributing to the War on Breast Cancer?

Authors:  Arnaud H Chauviere; Haralampos Hatzikirou; John S Lowengrub; Hermann B Frieboes; Alastair M Thompson; Vittorio Cristini
Journal:  Curr Breast Cancer Rep       Date:  2010-07-22

8.  Multiscale modelling and nonlinear simulation of vascular tumour growth.

Authors:  Paul Macklin; Steven McDougall; Alexander R A Anderson; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Math Biol       Date:  2008-09-10       Impact factor: 2.259

9.  Angiogenesis and vascular remodelling in normal and cancerous tissues.

Authors:  Markus R Owen; Tomás Alarcón; Philip K Maini; Helen M Byrne
Journal:  J Math Biol       Date:  2008-10-22       Impact factor: 2.259

10.  3D multi-cell simulation of tumor growth and angiogenesis.

Authors:  Abbas Shirinifard; J Scott Gens; Benjamin L Zaitlen; Nikodem J Popławski; Maciej Swat; James A Glazier
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

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