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Simulation of glioblastoma multiforme (GBM) tumor cells using ising model on the Creutz Cellular Automaton

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  • Züleyha, Artuç
  • Ziya, Merdan
  • Selçuk, Yeşiltaş
  • Kemal, Öztürk M.
  • Mesut, Tez

Abstract

Computational models for tumors have difficulties due to complexity of tumor nature and capacities of computational tools, however, these models provide visions to understand interactions between tumor and its micro environment. Moreover computational models have potential to develop strategies for individualized treatments for cancer. To observe a solid brain tumor, glioblastoma multiforme (GBM), we present a two dimensional Ising Model applied on Creutz cellular automaton (CCA). The aim of this study is to analyze avascular spherical solid tumor growth, considering transitions between non tumor cells and cancer cells are like phase transitions in physical system. Ising model on CCA algorithm provides a deterministic approach with discrete time steps and local interactions in position space to view tumor growth as a function of time. Our simulation results are given for fixed tumor radius and they are compatible with theoretical and clinic data.

Suggested Citation

  • Züleyha, Artuç & Ziya, Merdan & Selçuk, Yeşiltaş & Kemal, Öztürk M. & Mesut, Tez, 2017. "Simulation of glioblastoma multiforme (GBM) tumor cells using ising model on the Creutz Cellular Automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 901-907.
    • Handle: RePEc:eee:phsmap:v:486:y:2017:i:c:p:901-907
    DOI: 10.1016/j.physa.2017.05.096
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    References listed on IDEAS

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    1. Joana Moreira & Andreas Deutsch, 2002. "Cellular Automaton Models Of Tumor Development: A Critical Review," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(02n03), pages 247-267.
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    Cited by:

    1. Sabzpoushan, S.H. & Pourhasanzade, Fateme, 2018. "A new method for shrinking tumor based on microenvironmental factors: Introducing a stochastic agent-based model of avascular tumor growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 771-787.

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