Abstract
In this paper we present a tumourous cell growth model based on cellular automata (CA), where a colony composed of competing normal and cancer cells was placed in an array intertwined with blood vessels. The CA models are able to incorporate both cell growth and complex vascular geometry at the microcirculation level, whereby CA rules are implemented to govern cell development, evolution and death. The vasculature, which is the constant source of oxygen, was generated using a diffusion-limited aggregation-based CA model, whilst the diffusion of oxygen molecules across the domain was implemented, first, using a “random walk” approach and then employing classic diffusion law. With appropriate rules of CA implemented the cancer cells were able to grow at a faster rate and spread a greater distance compared to the normal cells. Once the cancer cells were allowed to proliferate over the vasculature, they would dominate the model lattice and, in one case, overwhelm the normal cells. However, normal cells also own the ability to defend themselves from the invasion of cancerous cells. It was clear from this model that with metastasis tumours exhibit far more dangerous characteristics as they suffocate, control and direct the growth of normal cells. The proposed growth model can be further extended to incorporate more growth patterns and control mechanisms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D (2011) Global cancer statistics. CA Cancer J Clin 61(2):69–90
Moreira J, Deutsch A (2002) Cellular automaton models of tumor development: a critical review. Adv Complex Syst 05(02–03):247–267
Fujimoto J, Ichigo S, Hirose R, Sakaguchi H, Tamaya T (1998) Expressions of vascular endothelial growth factor (VEGF) and its mRNA in uterine endometrial cancers. Cancer Lett 134(1):15–22
Makrilia N, Lappa T, Xyla V, Nikolaidis I, Syrigos K (2009) The role of angiogenesis in solid tumours: an overview. Eur J Intern Med 20(7):663–671
Hanahan D, Weinberg RA (2011) Hallmarks of cancer: the next generation. Cell 144(5):646–674
Araujo R (2004) A history of the study of solid tumour growth: the contribution of mathematical modelling. Bull Math Biol 66(5):1039–1091
Alarcon T, Byrne HM, Maini PK (2003) A cellular automaton model for tumour growth in inhomogeneous environment. J Theor Biol 225(2):257–274
Anderson ARA, Chaplain MAJ, Rejniak KA (eds) (2007) Single-cell-based models in biology and medicine. Birkhäuser, Basel
Chopard B, Droz M (2012) Cellular automata modeling of physical systems. Springer, New York
Shrestha SMB, Joldes GR, Wittek A, Miller K (2013) Cellular automata coupled with steady-state nutrient solution permit simulation of large-scale growth of tumours. Int J Numer Method Biomed Eng 29:542–559
BioNB441, Cornell university: Cellular automata in Matlab. https://instruct1.cit.cornell.edu/courses/bionb441/CA/. Accessed on 21 March 2014
Patel AA, Gawlinsky ET, Lemieux SK, Gatenby RA (2001) A cellular automaton model of early tumor growth and invasion: the effects of native tissue vascularity and increased anaerobic tumor metabolism. J Theor Biol 213:315–331
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this paper
Cite this paper
Deacon, N., Chapuis, A., Ho, H., Clarke, R. (2014). Modelling the Tumour Growth Along a Complex Vasculature Using Cellular Automata. In: Doyle, B., Miller, K., Wittek, A., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0745-8_3
Download citation
DOI: https://doi.org/10.1007/978-1-4939-0745-8_3
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-0744-1
Online ISBN: 978-1-4939-0745-8
eBook Packages: EngineeringEngineering (R0)