Literature DB >> 12728333

Nonlinear simulation of tumor growth.

Vittorio Cristini1, John Lowengrub, Qing Nie.   

Abstract

We study solid tumor ( carcinoma) growth in the nonlinear regime using boundary-integral simulations. The tumor core is nonnecrotic and no inhibitor chemical species are present. A new formulation of the classical models [18,24,8,3] is developed and it is demonstrated that tumor evolution is described by a reduced set of two dimensionless parameters and is qualitatively unaffected by the number of spatial dimensions. One parameter describes the relative rate of mitosis to the relaxation mechanisms (cell mobility and cell-to-cell adhesion). The other describes the balance between apoptosis (programmed cell-death) and mitosis. Both parameters also include the effect of vascularization. Our analysis and nonlinear simulations reveal that the two new dimensionless groups uniquely subdivide tumor growth into three regimes associated with increasing degrees of vascularization: low (diffusion dominated, e.g., in vitro), moderate and high vascularization, that correspond to the regimes observed in vivo. We demonstrate that critical conditions exist for which the tumor evolves to nontrivial dormant states or grows self-similarly (i.e., shape invariant) in the first two regimes. This leads to the possibility of shape control and of controlling the release of tumor angiogenic factors by restricting the tumor volume-to-surface-area ratio. Away from these critical conditions, evolution may be unstable leading to invasive fingering into the external tissues and to topological transitions such as tumor breakup and reconnection. Interestingly we find that for highly vascularized tumors, while they grow unbounded, their shape always stays compact and invasive fingering does not occur. This is in agreement with recent experimental observations [30] of in vivo tumor growth, and suggests that the invasive growth of highly-vascularized tumors is associated to vascular and elastic anisotropies, which are not included in the model studied here.

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Year:  2003        PMID: 12728333     DOI: 10.1007/s00285-002-0174-6

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


  66 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

2.  An Adaptive Multigrid Algorithm for Simulating Solid Tumor Growth Using Mixture Models.

Authors:  S M Wise; J S Lowengrub; V Cristini
Journal:  Math Comput Model       Date:  2011-01-01

Review 3.  Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Authors:  Sandeep Sanga; Hermann B Frieboes; Xiaoming Zheng; Robert Gatenby; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-06-07       Impact factor: 6.556

4.  Multiparameter computational modeling of tumor invasion.

Authors:  Elaine L Bearer; John S Lowengrub; Hermann B Frieboes; Yao-Li Chuang; Fang Jin; Steven M Wise; Mauro Ferrari; David B Agus; Vittorio Cristini
Journal:  Cancer Res       Date:  2009-04-14       Impact factor: 12.701

5.  Simulation of single-species bacterial-biofilm growth using the Glazier-Graner-Hogeweg model and the CompuCell3D modeling environment.

Authors:  Nikodem J Popławski; Abbas Shirinifard; Maciej Swat; James A Glazier
Journal:  Math Biosci Eng       Date:  2008-04       Impact factor: 2.080

6.  Individual-based and continuum models of growing cell populations: a comparison.

Authors:  Helen Byrne; Dirk Drasdo
Journal:  J Math Biol       Date:  2008-10-08       Impact factor: 2.259

7.  Front instabilities and invasiveness of simulated avascular tumors.

Authors:  Nikodem J Popławski; Ubirajara Agero; J Scott Gens; Maciej Swat; James A Glazier; Alexander R A Anderson
Journal:  Bull Math Biol       Date:  2009-02-21       Impact factor: 1.758

8.  Nonlinear studies of tumor morphological stability using a two-fluid flow model.

Authors:  Kara Pham; Emma Turian; Kai Liu; Shuwang Li; John Lowengrub
Journal:  J Math Biol       Date:  2018-03-15       Impact factor: 2.259

9.  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

10.  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

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