A cellular automaton model for tumor dormancy: Emergence of a proliferative switch

Duyu Chen, Yang Jiao, Salvatore Torquato

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Malignant cancers that lead to fatal outcomes for patients may remain dormant for very long periods of time. Although individual mechanisms such as cellular dormancy, angiogenic dormancy and immunosurveillance have been proposed, a comprehensive understanding of cancer dormancy and the "switch" from a dormant to a proliferative state still needs to be strengthened from both a basic and clinical point of view. Computational modeling enables one to explore a variety of scenarios for possible but realistic microscopic dormancy mechanisms and their predicted outcomes. The aim of this paper is to devise such a predictive computational model of dormancy with an emergent "switch" behavior. Specifically, we generalize a previous cellular automaton (CA) model for proliferative growth of solid tumor that now incorporates a variety of cell-level tumor-host interactions and different mechanisms for tumor dormancy, for example the effects of the immune system. Our new CA rules induce a natural "competition" between the tumor and tumor suppression factors in the microenvironment. This competition either results in a "stalemate" for a period of time in which the tumor either eventually wins (spontaneously emerges) or is eradicated; or it leads to a situation in which the tumor is eradicated before such a "stalemate" could ever develop. We also predict that if the number of actively dividing cells within the proliferative rim of the tumor reaches a critical, yet low level, the dormant tumor has a high probability to resume rapid growth. Our findings may shed light on the fundamental understanding of cancer dormancy.

Original languageEnglish (US)
Article numbere109934
JournalPLoS One
Volume9
Issue number10
DOIs
StatePublished - Oct 16 2014

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Cellular automata
dormancy
Tumors
Switches
neoplasms
Neoplasms
Immune system
Immunologic Monitoring
Fatal Outcome
Growth
immune system
Immune System
cells

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

A cellular automaton model for tumor dormancy : Emergence of a proliferative switch. / Chen, Duyu; Jiao, Yang; Torquato, Salvatore.

In: PLoS One, Vol. 9, No. 10, e109934, 16.10.2014.

Research output: Contribution to journalArticle

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