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.
Similar content being viewed by others
References
Alfarouk KO, Muddathir AK, Shayoub MEA (2011) Tumor acidity as evolutionary spite. Cancers 3(1):408–414
Basanta D, Ribba B, Watkin E, You B, Deutsch A (2010) Computational analysis of the influence of microenvironment on carcinogenesis. Math Biosci 229:22-29
Bender CM, Orszag SA (1999) Advanced mathematical methods for scientists and engineers I: asymptotic methods and perturbation theory. Springer, New York
Bertuzzi A, Fasano A, Gandolfi A, Sinisgalli C (2010) Necrotic core in EMT6/Ro tumour spheroids: is it caused by an ATP deficit? J Theor Biol 262:142–150
Bianchini L, Fasano A (2009) A model combining acid-mediated tumour invasion and nutrient dynamics. Nonlinear Anal Real World Appl 10(4):1955–1975
Byrne HM (2010) Dissecting cancer through mathematics: from the cell to the animal model. Nat Rev Cancer 10:221–230
Casciari JJ, Sotirchos SV, Sutherland RM (1992) Variations in tumor cell growth rates and metabolism with oxygen concentration, glucose concentration, and extracellular pH. J Cell Physiol 151(2):386–394
Clarke R, Dickson RB, Bruenner N (1990) The process of malignant progression in human breast cancer. Annals Oncol 1(6):401–407
Dale PD, Sherratt JA, Maini PK (1994) Mathematical modeling of corneal epithelial wound healing. Math Biosci 124(2):127–147
DeBerardinis RJ, Lum JJ, Hatzivassiliou G, Thompson CB (2008) The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metabol 7:11–20
Dvorak HF, Senger DR, Dvorak AM (1983) Fibrin as a component of the tumor stroma: origins and biological significance. Cancer Metastasis Rev 2(1):41–73
Fasano A, Herrero MA, Rodrigo MR (2009) Slow and fast invasion waves in a model of acid-mediated tumour growth. Math Biosci 220(1):45–56
Fidler IJ, Hart IR (1982) Biological diversity in metastatic neoplasms: origins and implications. Science 217(4564):998–1003
Gatenby RA (1991) Population ecology issues in tumor growth. Cancer Res 51(10):2542–2547
Gatenby RA, Gawlinski ET (1996) A reaction-diffusion model of cancer invasion. Cancer Res 56(24):5745–5753
Gatenby RA, Gillies RJ (2004) Why do cancers have high aerobic glycolysis? Nat Rev Cancer 4(11):891–899
Gatenby RA, Smallbone K, Maini PK, Rose F, Averill J, Nagle RB, Worrall L, Gillies RJ (2007) Cellular adaptations to hypoxia and acidosis during somatic evolution of breast cancer. British J Cancer 97(5):646–653
Gillies RJ, Gatenby RA (2007) Hypoxia and adaptive landscapes in the evolution of carcinogenesis. Cancer Metastasis Rev 26(2):311–317
Gillies RJ, Verduzco D, Gatenby RA (2012) Evolutionary dynamics of cancer and why targeted therapy does not work. Nat Rev Cancer 12:487–493
Hanahan D, Weinberg RA (2011) Hallmarks of cancer: the next generation. Cell 144:646–674
Kallinowski F, Vaupel P, Runkel S, Berg G, Fortmeyer HP, Baessler KH, Wagner K, Mueller-Klieser W, Walenta S (1988) Glucose uptake, lactate release, ketone body turnover, metabolic micromilieu, and pH distributions in human breast cancer xenografts in nude rats. Cancer Res 48(24):7264–7272
Kroemer G, Pouyssegur J (2008) Tumor cell metabolism: cancer’s Achilles’ heel. Cancer Cell 13:472–482
Lide D (1994) CRC handbook of chemistry and physics (student’s 73rd revised ed.). CRC Press, Boca Raton
Martin GR, Jain RK (1994) Noninvasive measurement of interstitial pH profiles in normal and neoplastic tissue using fluorescence ratio imaging microscopy. Cancer Res 54(21):5670–5674
Martin NK, Gaffney EA, Gatenby RA, Maini PK (2010) Tumour-stromal interactions in acid-mediated invasion: a mathematical model. J Theor Biol 267(3):461–470
Martin NK, Gaffney EA, Gatenby RA, Gillies RJ, Robey IF, Maini PK (2011) A mathematical model of tumour and blood pHe regulation: the HCO3-/CO2 buffering system. Math Biosci 230(1):1–11
McCarthy N (2009) Metabolism: room to breathe. Nat Rev Cancer 9:13
McGillen JB, Martin NK, Robey IF, Gaffney EA, Maini PK (2012) Applications of mathematical analysis to tumour acidity modelling. U. Kyoto RIMS Kôkyûroku Bessatsu B31:31–59
Murray JD (2002) Mathematical biology: I. An introduction. Interdisciplinary applied mathematics. 3rd edn. Springer, New York
Nieweg OE, Pruim J, Vaalburg W (1996) Fluorine-18-fluorodeoxyglucose PET imaging of soft-tissue sarcoma. J Nucl Med 37:257–261
Nowell PC (1976) The clonal evolution of tumor cell populations. Science 194(4260):23–28
Park HJ, Lyons JC, Ohtsubo T, Song CW (1999) Acidic environment causes apoptosis by increasing caspase activity. British J Cancer 80(12):1892–1897
Pienta KJ, McGregor N, Axelrod R, Axelrod DE (2008) Ecological therapy for cancer: defining tumors using an ecosystem paradigm suggests new opportunities for novel cancer treatments. Transl Oncol 1(4):158–164
Robey IF, Martin NK (2011) Bicarbonate and dichloroacetate: evaluating pH altering therapies in a mouse model for metastatic breast cancer. BMC Cancer 11:235–245
Robey IF, Baggett BK, Kirkpatrick ND, Roe DJ, Dosescu J, Sloane BF, Hashim AI, Morse DL, Raghunand N, Gatenby RA, Gillies RJ (2009) Bicarbonate increases tumor pH and inhibits spontaneous metastases. Cancer Res 69(6):2260–2268
van Saarloos W (1988) Front propagation into unstable states: marginal stability as a dynamical mechanism for velocity selection. Phys Rev A 37(1):211–229
Schiesser WE (1991) The numerical method of lines: integration of partial differential equations. 1st edn. Academic Press, San Diego
Silva AS, Yunes JA, Gillies RJ, Gatenby RA (2009) The potential role of systemic buffers in reducing intratumoral extracellular pH and acid-mediated invasion. Cancer Res 69(6):2677–2684
Smallbone K, Gavaghan D, Gatenby RA, Maini PK (2005) The role of acidity in solid tumour growth and invasion. J Theor Biol 235(4):476–484
Tracqui P, Cruywagen GC, Woodward DE, Bartoo GT, Alvord EC, Murray JD (1995) A mathematical model of glioma growth: the effect of chemotherapy on spatio-temporal growth. Cell Prolif 28(1):17–31
Venkatasubramanian R, Henson MA, Forbes NS (2006) Incorporating energy metabolism into a growth model of multicellular tumor spheroids. J Theor Biol 242:440–453
Vogelstein B, Fearon ER, Hamilton SR, Kern SE, Preisinger AC, Leppert M, Smits AM, Bos JL (1988) Genetic alterations during colorectal-tumor development. New Engl J Med 319(9):525–532
Warburg O (1930) The metabolism of tumors. Arnold Constable, London
Warburg O (1956) On the origin of cancer cells. Science 123:309–314
Acknowledgments
JBM, NKM, and PKM were partially supported by the National Cancer Institute, National Institutes of Health grant U54CA143970. JBM was partially supported by an Overseas Graduate Scholarship from St. Catherine’s College at Oxford University and would like to thank the Systems Biology Doctoral Training Centre for its hospitality. NKM and PKM were partially supported by the National Cancer Institute, National Institutes of Health grant U56CA113004. PKM was partially supported by a Royal Society Wolfson Research Merit award. This work is produced by NKM under the terms of the postdoctoral research training fellowship issued by the NIHR. The views expressed in this publication are those of the authors and not necessarily those of the NHS, The National Institute for Health Research or the Department of Health.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
McGillen, J.B., Gaffney, E.A., Martin, N.K. et al. A general reaction–diffusion model of acidity in cancer invasion. J. Math. Biol. 68, 1199–1224 (2014). https://doi.org/10.1007/s00285-013-0665-7
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00285-013-0665-7
Keywords
- Cancer
- Acid-mediated tumour invasion
- Reaction–diffusion equations
- Asymptotic analysis
- Travelling waves
- Numerical simulations