Literature DB >> 10399312

Mathematical modelling of avascular-tumour growth. II: Modelling growth saturation.

J P Ward1, J R King.   

Abstract

We build on our earlier mathematical model (Ward & King, 1997, IMA J. Appl. Math Appl. Med. Biol., 14, 39-69) by incorporating two necrotic depletion mechanisms, which results in a model that can predict all the main phases of avascular-tumour growth and heterogeneity. The model assumes a continuum of live cells which, depending on the concentration of a generic nutrient, may reproduce or die, generating local volume changes and thus producing movement described by a velocity field. The necrotic material is viewed as basic cellular material (i.e. as a generic mix of proteins, DNA, etc.) which is able to diffuse and is utilized by living cells as raw material to construct new cells during mitosis. Numerical solution of the resulting system of partial differential equations shows that growth ultimately tends either to a steady-state (growth saturation) or becomes linear. Both the travelling-wave and steady-state limits of the model are therefore derived and studied. The analysis demonstrates that, except in a very special case, passage of cellular material across the tumour surface is necessary for growth saturation to occur. Using numerical techniques, the domains of existence of the large-time solutions are explored in parameter space. For a particular limit, asymptotic analysis makes explicit the main phases of growth and gives the location of the bifurcation between the long-time outcomes.

Entities:  

Mesh:

Year:  1999        PMID: 10399312

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  28 in total

1.  Mechanical control of spheroid growth: distinct morphogenetic regimes.

Authors:  Oswaldo A Lozoya; Sharon R Lubkin
Journal:  J Biomech       Date:  2011-12-06       Impact factor: 2.712

2.  Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes.

Authors:  Mark Robertson-Tessi; Robert J Gillies; Robert A Gatenby; Alexander R A Anderson
Journal:  Cancer Res       Date:  2015-04-15       Impact factor: 12.701

3.  Travelling-wave behaviour in a multiphase model of a population of cells in an artificial scaffold.

Authors:  G Lemon; J R King
Journal:  J Math Biol       Date:  2007-05-12       Impact factor: 2.259

4.  Enrichment map profiling of the cancer invasion front suggests regulation of colorectal cancer progression by the bone morphogenetic protein antagonist, gremlin-1.

Authors:  George S Karagiannis; Aaron Berk; Apostolos Dimitromanolakis; Eleftherios P Diamandis
Journal:  Mol Oncol       Date:  2013-04-18       Impact factor: 6.603

5.  Bridging the gap between individual-based and continuum models of growing cell populations.

Authors:  Mark A J Chaplain; Tommaso Lorenzi; Fiona R Macfarlane
Journal:  J Math Biol       Date:  2019-06-10       Impact factor: 2.259

6.  Combined experimental and mathematical approach for development of microfabrication-based cancer migration assay.

Authors:  Saheli Sarkar; Bethany L Bustard; Jean F Welter; Harihara Baskaran
Journal:  Ann Biomed Eng       Date:  2011-06-24       Impact factor: 3.934

7.  A stable scheme for a nonlinear, multiphase tumor growth model with an elastic membrane.

Authors:  Ying Chen; Steven M Wise; Vivek B Shenoy; John S Lowengrub
Journal:  Int J Numer Method Biomed Eng       Date:  2014-01-17       Impact factor: 2.747

8.  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

9.  Hypoxia inducible factors-mediated inhibition of cancer by GM-CSF: a mathematical model.

Authors:  Duan Chen; Julie M Roda; Clay B Marsh; Timothy D Eubank; Avner Friedman
Journal:  Bull Math Biol       Date:  2012-10-17       Impact factor: 1.758

10.  Tumor growth in complex, evolving microenvironmental geometries: a diffuse domain approach.

Authors:  Ying Chen; John S Lowengrub
Journal:  J Theor Biol       Date:  2014-07-09       Impact factor: 2.691

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.