Literature DB >> 8971186

A reaction-diffusion model of cancer invasion.

R A Gatenby1, E T Gawlinski.   

Abstract

We present mathematical analyses, experimental data, and clinical observations which support our novel hypothesis that tumor-induced alteration of microenvironmental pH may provide a simple but complete mechanism for cancer invasion. A reaction-diffusion model describing the spatial distribution and temporal development of tumor tissue, normal tissue, and excess H+ ion concentration is presented. The model predicts a pH gradient extending from the tumor-host interface, which is confirmed by reanalysis of existing experimental data. Investigation of the structure and dynamics of the tumor-host interaction within the context of the model demonstrates a transition from benign to malignant growth analogous to the adenoma-carcinoma sequence. The effect of biological parameters critical to controlling this transition are supported by experimental and clinical observations. Tumor wave front velocities determined via a marginal stability analysis of the model equations are consistent with in vivo tumor growth rates. The model predicts a previously unrecognized hypocellular interstitial gap at the tumor-host interface which we demonstrate both in vivo and in vitro. A direct correlation between the interfacial morphology and tumor wave front velocity provides an explicit, testable, clinically important prediction.

Entities:  

Mesh:

Year:  1996        PMID: 8971186

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  114 in total

1.  The expression and distribution of the hypoxia-inducible factors HIF-1alpha and HIF-2alpha in normal human tissues, cancers, and tumor-associated macrophages.

Authors:  K L Talks; H Turley; K C Gatter; P H Maxwell; C W Pugh; P J Ratcliffe; A L Harris
Journal:  Am J Pathol       Date:  2000-08       Impact factor: 4.307

2.  Alterations in proteolytic activity at low pH and its association with invasion: a theoretical model.

Authors:  S D Webb; J A Sherratt; R G Fish
Journal:  Clin Exp Metastasis       Date:  1999-07       Impact factor: 5.150

3.  Stochastic elimination of cancer cells.

Authors:  Franziska Michor; Martin A Nowak; Steven A Frank; Yoh Iwasa
Journal:  Proc Biol Sci       Date:  2003-10-07       Impact factor: 5.349

4.  6-Trifluoromethylpyridoxine: novel (19)F NMR pH indicator for in vivo detection.

Authors:  Jian-Xin Yu; Weina Cui; Vincent A Bourke; Ralph P Mason
Journal:  J Med Chem       Date:  2012-07-27       Impact factor: 7.446

5.  Extinction models for cancer stem cell therapy.

Authors:  Mary Sehl; Hua Zhou; Janet S Sinsheimer; Kenneth L Lange
Journal:  Math Biosci       Date:  2011-10-06       Impact factor: 2.144

6.  Modelling dynamics of the type I interferon response to in vitro viral infection.

Authors:  Tom J Howat; Cristina Barreca; Peter O'Hare; Julia R Gog; Bryan T Grenfell
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

7.  Mathematical modeling of cancer cell invasion of tissue: biological insight from mathematical analysis and computational simulation.

Authors:  Vivi Andasari; Alf Gerisch; Georgios Lolas; Andrew P South; Mark A J Chaplain
Journal:  J Math Biol       Date:  2010-09-26       Impact factor: 2.259

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.  Emergence of spatial structure in the tumor microenvironment due to the Warburg effect.

Authors:  Carlos Carmona-Fontaine; Vanni Bucci; Leila Akkari; Maxime Deforet; Johanna A Joyce; Joao B Xavier
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

Review 10.  Targeting acidity in cancer and diabetes.

Authors:  Robert J Gillies; Christian Pilot; Yoshinori Marunaka; Stefano Fais
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-01-30       Impact factor: 10.680

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.