Cellular Automaton Model for Immunology of Tumor Growth

1998/11/02 by Margarita Voitikova, Voitikova, Margarita
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Physics and Astronomy · #Cellular Automata and Applications #Cellular Automata and Lattice Gases (nlin.CG) #FOS: Biological sciences #FOS: Physical sciences #Gene Regulatory Network Analysis #Mathematical Biology Tumor Growth #Quantitative Biology (q-bio) #comp-gas #nlin.CG #q-bio

paper · pdf · doi:10.48550/arxiv.comp-gas/9811001

8 pages, Latex, 5 figures

arxiv created 1998/11/02 · openalex publication_date 1998/11/02 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The stochastic discrete space-time model of an immune response on tumor spreading in a two-dimensional square lattice has been developed. The immunity-tumor interactions are described at the cellular level and then transferred into the setting of cellular automata (CA). The multistate CA model for system, in which all statesoflattice sites, composing of both immune and tumor cells populations, are the functions of the states of the 12 nearest neighbors. The CA model incorporates the essential featuresof the immunity-tumor system. Three regimes of neoplastic evolution including metastatic tumor growth and screen effect by inactive immune cells surrounding a tumor have been predicted.

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