A Cellular Automata Model of Tumor Growth Based on Cell Cycle

Document Type : Original Paper

Authors

1 Department of Biomedical Engineering, Research Laboratory of Biomedical Signals and Sensors, Iran University of Sciences and Technology, Tehran, Iran

2 Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran

3 Radiation Oncology Department, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Breast cancer is one of the major causes of death among women. Therefore, studying the morphology of cancer is necessary. Computer models and simulations may help scientists better understand this disease, and improve current treatments. In this paper, a model of breast cancer based on Cell Cycle is presented. Five states for each cell in a 2D square lattice is considered. The rules for updating the states of the model in the Moore neighborhood are stochastic. The results of our simulations are presented with/without considering immune system. The growth fraction and necrotic fraction are used as output parameters beside a 2-D graphical growth presentation. Moreover, we introduced a new in-vivo study to measure the output parameters by using Tetrazolium chloride. It can be observed that there is an acceptable compatibility between the experimental tests and simulation results.

Keywords

Main Subjects


  
 
 
 
 Ang, K.C. (2009). Analysis of a tumor growth model with MATLAB.
  Mousavi, S.M., Gouya, M.M., Ramazani, R., Davanlou, M., Hajsadeghi, N. and Seddighi, Z. (2009). Cancer incidence and mortality in Iran. Annals of Oncology20, 556-563.
 
Rodrigues, D. (2007). CellCom - A Hybrid Cellular Automaton Model of Tumorous Tissue Formation and Growth. Report - Master program in Complexity Sciences (ISCTE/FCUL, Lisbon)
 Ghaemi, M., Naderi, O. and Zabihinpour, Z. (2010). A novel method for simulating cancer growth. In Cellular Automata (pp. 142-148). Springer Berlin Heidelberg.
 Altinok, A., Gonze, D., Lévi, F. and Goldbeter, A. (2011). An automaton model for the cell cycle. Interface focus1, 36-47.
 Sabzpoushan, S.H. and Pourhasanzade, F. (2011). A cellular Automata-based Model for Simulating restitution Property in a Single Heart cell. Journal of medical signals and sensors1, 19.
  Pourhasanzade, F. and Sabzpoushan, S.H. (2010). A new c
ellular automata model of cardiac action potential propagation based on summation of excited neighbors. World Academy of Science, Engineering and Technology44, 917-921
 
Pourhasanzade, F., Sabzpoushan, S.H., Alizadeh, A.M. and Esmati, E., (2017). An agent-based model of avascular tumor growth: Immune response tendency to prevent cancer development. Simulation