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Reaction-difusion model of early carcinogenesis: The effects of influx of mutated cells

  • Heidelberg University 
  • Rice University

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

In this paper we explore a new model of field carcinogenesis, inspired by lung cancer precursor lesions, which includes dynamics of a spatially distributed population of pre-cancerous cells c(t, x), constantly supplied by an influx μ of mutated normal cells. Cell proliferation is controlled by growth factor molecules bound to cells, b(t, x). Free growth factor molecules g(t, x) are produced by precancerous cells and may diffuse before they become bound to other cells. The purpose of modelling is to investigate the existence of solutions, which correspond to formation of multiple spatially isolated lesions of pre-cancerous cells or, mathematically, to stable spike solutions. These multiple lesions are consistent with the field theory of carcinogenesis. In a previous model published by these authors, the influx of mutated cells was equal to zero, μ = 0, which corresponded to a single pre-malignant colony of cells. In that model, stable patterns appeared only if some of the growth factor was supplied from outside, arguably, a biologically tenuous hypothesis. In the present model, when μ > 0, that hypothesis is no more required, which makes this model more realistic. We present a range of results, both mathematical and computational, which taken together allow understanding the dynamics of this model. The equilibrium solutions in the current model result from the balance between new premalignant colonies being initiated and the old ones dying out.

Original languageEnglish
Pages (from-to)91-114
Number of pages24
JournalMathematical Modelling of Natural Phenomena
Volume3
Issue number7
DOIs
Publication statusPublished - Jan 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cancer modelling
  • cooperation
  • pattern formation
  • reaction-diffusion equations
  • spike solutions

ASJC Scopus subject areas

  • Modeling and Simulation

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