Literature DB >> 19232360

Mathematical modelling of the Warburg effect in tumour cords.

Sergey Astanin1, Luigi Preziosi.   

Abstract

The model proposed here links together two approaches to describe tumours: a continuous medium to describe the movement and the mechanical properties of the tissue, and a population dynamics approach to represent internal genetic inhomogeneity and instability of the tumour. In this way one can build models which cover several stages of tumour progression. In this paper we focus on describing transition from aerobic to purely glycolytic metabolism (the Warburg effect) in tumour cords. From the mathematical point of view this model leads to a free boundary problem where domains in contact are characterized by different sets of equations. Accurate stitching of the solution was possible with a modified ghost fluid method. Growth and death of the cells and uptake of the nutrients are related through ATP production and energy costs of the cellular processes. In the framework of the bi-population model this allowed to keep the number of model parameters relatively small.

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Year:  2009        PMID: 19232360     DOI: 10.1016/j.jtbi.2009.01.034

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


  10 in total

1.  Initial/boundary-value problems of tumor growth within a host tissue.

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2.  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

3.  The Moving Boundary Node Method: A level set-based, finite volume algorithm with applications to cell motility.

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Journal:  J Comput Phys       Date:  2010-09-20       Impact factor: 3.553

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Authors:  Paul Macklin; Mary E Edgerton; Alastair M Thompson; Vittorio Cristini
Journal:  J Theor Biol       Date:  2012-02-09       Impact factor: 2.691

5.  On the biomechanics and mechanobiology of growing skin.

Authors:  Alexander M Zöllner; Adrian Buganza Tepole; Ellen Kuhl
Journal:  J Theor Biol       Date:  2012-01-04       Impact factor: 2.691

6.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

7.  A multiphase model for three-dimensional tumor growth.

Authors:  G Sciumè; S Shelton; Wg Gray; Ct Miller; F Hussain; M Ferrari; P Decuzzi; Ba Schrefler
Journal:  New J Phys       Date:  2013-01       Impact factor: 3.729

8.  Therapeutic Approach of KRAS Mutant Tumours by the Combination of Pharmacologic Ascorbate and Chloroquine.

Authors:  Orsolya Kapuy; Kinga Makk-Merczel; András Szarka
Journal:  Biomolecules       Date:  2021-04-28

9.  Multi-scale computational study of the Warburg effect, reverse Warburg effect and glutamine addiction in solid tumors.

Authors:  Mengrou Shan; David Dai; Arunodai Vudem; Jeffrey D Varner; Abraham D Stroock
Journal:  PLoS Comput Biol       Date:  2018-12-07       Impact factor: 4.475

10.  A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer.

Authors:  Giada Fiandaca; Marcello Delitala; Tommaso Lorenzi
Journal:  Bull Math Biol       Date:  2021-06-15       Impact factor: 1.758

  10 in total

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