Stochastic dynamics of hematopoietic tumor stem cells

David Dingli, Arne Traulsen, Jorge M. Pacheco

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

Many tumors derive from the transformation of normal stem cells into cancer stem cells that retain their self-renewal capacity. This modern view of cancer has provided a natural explanation for the striking parallels which exist between these two different types of self-renewing cells. Here we develop a simple mathematical model to investigate the implications of this concept regarding the evolution of tumors in the hematopoietic system. Our results unequivocally demonstrate that stochastic effects related to the finite size of the active stem cell population have a profound influence on the dynamics of cancer evolution. For input parameters compatible with both the natural history of human cancer and mouse models, our results show how stochastic dynamics alone may lead to both remission in some cases and rapid expansion in others.

Original languageEnglish (US)
Pages (from-to)461-466
Number of pages6
JournalCell Cycle
Volume6
Issue number4
DOIs
StatePublished - Feb 15 2007

Keywords

  • Cancer
  • Clonal evolution
  • Mathematical models
  • Mutation
  • Stem cells
  • Stochastic dynamics

ASJC Scopus subject areas

  • Molecular Biology
  • Developmental Biology
  • Cell Biology

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