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A Cellular Automaton Model for Tumor Growth Simulation

  • Conference paper
6th International Conference on Practical Applications of Computational Biology & Bioinformatics

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 154))

Abstract

We used cellular automata for simulating tumor growth in a multicellular system. Cells have a genome associated with different cancer hallmarks, indicating if those are activated as consequence of mutations. The presence of the cancer hallmarks defines cell states and cell mitotic behaviors. These hallmarks are associated with a series of parameters, and depending on their values and the activation of the hallmarks in each of the cells, the system can evolve to different dynamics. We focus here on how the cellular automata simulating tool can provide a model of the tumor growth behavior in different conditions.

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References

  1. Abbott, R.G., Forrest, S., Pienta, K.J.: Simulating the hallmarks of cancer. Artificial Life 12(4), 617–634 (2006)

    Article  Google Scholar 

  2. Adami, C.: Introduction to artificial life. Telos-Springer Verlag (1998)

    Google Scholar 

  3. Adamopoulos, A.V.: CA2: In silico simulations of cancer growth using cellular automata. WSEAS Transactions on Systems 4(9), 1467–1473 (2005)

    MathSciNet  Google Scholar 

  4. Bankhead, A., Heckendorn, R.B.: Using evolvable genetic cellular automata to model breast cancer. Genet. Program Evolvable Mach. 8, 381–393 (2007)

    Article  Google Scholar 

  5. Gerlee, P., Anderson, A.R.A.: An evolutionary hybrid cellular automaton model of solid tumour growth. Journal of Theoretical Biology 246(4), 583–603 (2007)

    Article  MathSciNet  Google Scholar 

  6. Gevertz, J.L., Gillies, G.T., Torquato, S.: Simulating tumor growth in confined heterogeneous environments. Phys. Biol. 5 (2008)

    Google Scholar 

  7. Gibbs, W.W.: Untangling the roots of cancer. Scientific American 289, 56–65 (2003)

    Article  Google Scholar 

  8. Hanahan, D., Weinberg, R.A.: The hallmarks of cancer. Cell 100, 57–70 (2000)

    Article  Google Scholar 

  9. Ilachinski, A.: Cellular automata. A discrete universe. World Scientific (2001)

    Google Scholar 

  10. Langton, C.G.: Life at the edge of chaos. In: Langton, C.G., Taylor, C., Farmer, J.D., Rasmussen, S. (eds.) Artificial Life II, pp. 41–49. Addison-Wesley (1992)

    Google Scholar 

  11. Patel, M., Nagl, S.: The role of model integration in complex systems. An example from cancer biology. Springer, Heidelberg (2010)

    Google Scholar 

  12. Ribba, B., Alarcón, T., Marron, K., Maini, P.K., Agur, Z.: The Use of Hybrid Cellular Automaton Models for Improving Cancer Therapy. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 444–453. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  13. Solé, R., Goodwin, B.: Signs of life. How complexity pervades biology. Basic Books (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science Department, University of A Coruña, Corunna, Spain

    Ángel Monteagudo & José Santos

Authors
  1. Ángel Monteagudo
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  2. José Santos
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Editor information

Editors and Affiliations

  1. , Dep. Informática / CCTC, Universidade do Minho, Largo do Paco, Braga, 4710 - 057, Portugal

    Miguel P. Rocha

  2. European Bioinformatics Institute, Wellcome Trust Genome Campus, EMBL Outstation - Hinxton, Hinxton, CB10 1SD, United Kingdom

    Nicholas Luscombe

  3. , Department of Informatics, University of Vigo, Edificio Politécnico. Campus Universitario As Lagoas s/n, Ourense, 32004, Spain

    Florentino Fdez-Riverola

  4. Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

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© 2012 Springer-Verlag Berlin Heidelberg

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Monteagudo, Á., Santos, J. (2012). A Cellular Automaton Model for Tumor Growth Simulation. In: Rocha, M., Luscombe, N., Fdez-Riverola, F., Rodríguez, J. (eds) 6th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent and Soft Computing, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28839-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-28839-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28838-8

  • Online ISBN: 978-3-642-28839-5

  • eBook Packages: EngineeringEngineering (R0)

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