Literature DB >> 23536240

A general reaction-diffusion model of acidity in cancer invasion.

Jessica B McGillen1, Eamonn A Gaffney, Natasha K Martin, Philip K Maini.   

Abstract

We model the metabolism and behaviour of a developing cancer tumour in the context of its microenvironment, with the aim of elucidating the consequences of altered energy metabolism. Of particular interest is the Warburg Effect, a widespread preference in tumours for cytosolic glycolysis rather than oxidative phosphorylation for glucose breakdown, as yet incompletely understood. We examine a candidate explanation for the prevalence of the Warburg Effect in tumours, the acid-mediated invasion hypothesis, by generalising a canonical non-linear reaction-diffusion model of acid-mediated tumour invasion to consider additional biological features of potential importance. We apply both numerical methods and a non-standard asymptotic analysis in a travelling wave framework to obtain an explicit understanding of the range of tumour behaviours produced by the model and how fundamental parameters govern the speed and shape of invading tumour waves. Comparison with conclusions drawn under the original system--a special case of our generalised system--allows us to comment on the structural stability and predictive power of the modelling framework.

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Year:  2013        PMID: 23536240     DOI: 10.1007/s00285-013-0665-7

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


  36 in total

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Authors:  O WARBURG
Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

2.  Variations in tumor cell growth rates and metabolism with oxygen concentration, glucose concentration, and extracellular pH.

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Journal:  J Cell Physiol       Date:  1992-05       Impact factor: 6.384

Review 3.  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

4.  Mathematical modeling of corneal epithelial wound healing.

Authors:  P D Dale; P K Maini; J A Sherratt
Journal:  Math Biosci       Date:  1994-12       Impact factor: 2.144

Review 5.  Hypoxia and adaptive landscapes in the evolution of carcinogenesis.

Authors:  Robert J Gillies; Robert A Gatenby
Journal:  Cancer Metastasis Rev       Date:  2007-06       Impact factor: 9.264

6.  A mathematical model of tumour and blood pHe regulation: The HCO3-/CO2 buffering system.

Authors:  Natasha K Martin; Eamonn A Gaffney; Robert A Gatenby; Robert J Gillies; Ian F Robey; Philip K Maini
Journal:  Math Biosci       Date:  2010-12-15       Impact factor: 2.144

Review 7.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

8.  Slow and fast invasion waves in a model of acid-mediated tumour growth.

Authors:  Antonio Fasano; Miguel A Herrero; Marianito R Rodrigo
Journal:  Math Biosci       Date:  2009-04-17       Impact factor: 2.144

Review 9.  The biology of cancer: metabolic reprogramming fuels cell growth and proliferation.

Authors:  Ralph J DeBerardinis; Julian J Lum; Georgia Hatzivassiliou; Craig B Thompson
Journal:  Cell Metab       Date:  2008-01       Impact factor: 27.287

10.  Acidic environment causes apoptosis by increasing caspase activity.

Authors:  H J Park; J C Lyons; T Ohtsubo; C W Song
Journal:  Br J Cancer       Date:  1999-08       Impact factor: 7.640

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  5 in total

1.  Mathematical modeling of interleukin-27 induction of anti-tumor T cells response.

Authors:  Kang-Ling Liao; Xue-Feng Bai; Avner Friedman
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

2.  Travelling-wave analysis of a model of tumour invasion with degenerate, cross-dependent diffusion.

Authors:  Chloé Colson; Faustino Sánchez-Garduño; Helen M Byrne; Philip K Maini; Tommaso Lorenzi
Journal:  Proc Math Phys Eng Sci       Date:  2021-12-15       Impact factor: 2.704

3.  Mathematical modeling of therapeutic neural stem cell migration in mouse brain with and without brain tumors.

Authors:  Justin Gomez; Nathanael Holmes; Austin Hansen; Vikram Adhikarla; Margarita Gutova; Russell C Rockne; Heyrim Cho
Journal:  Math Biosci Eng       Date:  2022-01-07       Impact factor: 2.080

4.  pH as a potential therapeutic target to improve temozolomide antitumor efficacy : A mechanistic modeling study.

Authors:  Angélique Stéphanou; Annabelle Ballesta
Journal:  Pharmacol Res Perspect       Date:  2019-01-28

5.  Mix and Match: Phenotypic Coexistence as a Key Facilitator of Cancer Invasion.

Authors:  Maximilian A R Strobl; Andrew L Krause; Mehdi Damaghi; Robert Gillies; Alexander R A Anderson; Philip K Maini
Journal:  Bull Math Biol       Date:  2020-01-17       Impact factor: 1.758

  5 in total

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