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.

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References

  
 
 
 
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Journal of Advanced Mathematical Modeling
Volume 6, Issue 2
December 2016
Pages 55-74

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History

  • Receive Date: 04 January 2016
  • Revise Date: 19 June 2017
  • Accept Date: 29 May 2016

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