Encyclopedia of Complexity and Systems Science

Living Edition
| Editors: Robert A. Meyers

Cellular Automaton Modeling of Tumor Invasion

  • Haralambos Hatzikirou
  • Georg Breier
  • Andreas Deutsch
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27737-5_60-5

Definition of the Subject

Cancer cells acquire characteristic traits in a stepwise manner during carcinogenesis. Some of these traits are autonomous growth, induction of angiogenesis, invasion, and metastasis. In this chapter, the focus is on one of the late stages of tumor progression: tumor invasion. Tumor invasion has been recognized as a complex system, since its behavior emerges from the combined effect of tumor cell-cell and cell-microenvironment interactions. Cellular automata (CA) provide simple models of self-organizing complex systems in which collective behavior can emerge out of an ensemble of many interacting “simple” components. Recently, cellular automata have been used to gain a deeper insight in tumor invasion dynamics. In this entry, we briefly introduce cellular automata as models of tumor invasion and we critically review the most prominent CA models of tumor invasion.

Introduction

Cancer describes a group of genetic and epigenetic diseases characterized by...

Keywords

Tumor Invasion Cellular Automaton Cellular Automaton Tumor Cell Migration Cellular Automaton Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

We are grateful to D. Basanta, L. Brusch, A. Chauviere, E. Flach, and F. Peruani for the comments and the fruitful discussions. We acknowledge support from the systems biology network HepatoSys of the German Ministry of Education and Research through grant 0313082 J. Andreas Deutsch is a member of the DFG Research Center for Regenerative Therapies Dresden – Cluster of Excellence – and gratefully acknowledges support from the center. The research was supported in part by funds from the EU Marie Curie Network “Modeling, Mathematical Methods and Computer Simulation of Tumor Growth and Therapy” (EU-RTD IST-2001-38923). Finally, the authors would like to thank for the financial support of the Gottfried Daimler and Karl Benz Foundation through the project “Biologistics: From bio-inspired engineering of complex logistical systems until nanologistics” (25-02/07).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Haralambos Hatzikirou
    • 1
  • Georg Breier
    • 2
  • Andreas Deutsch
    • 1
  1. 1.Center for Information Services and High Performance ComputingTechnische Universität DresdenDresdenGermany
  2. 2.Institute of Pathology, Medical Faculty Carl Gustav CarusTechnische Universität DresdenDresdenGermany