Artikel

Game theory of tumor-stroma interactions in multiple myeloma: Effect of nonlinear benefits

Cancer cells and stromal cells often exchange growth factors with paracrine effects that promote cell growth: a form of cooperation that can be studied by evolutionary game theory. Previous models have assumed that interactions between cells are pairwise or that the benefit of a growth factor is a linear function of its concentration. Diffusible factors, however, affect multiple cells and generally have nonlinear effects, and these differences are known to have important consequences for evolutionary dynamics. Here, we study tumor-stroma paracrine signaling using a model with multiplayer collective interactions in which growth factors have nonlinear effects. We use multiple myeloma as an example, modelling interactions between malignant plasma cells, osteoblasts, and osteoclasts. Nonlinear benefits can lead to results not observed in linear models, including internal mixed stable equilibria and cyclical dynamics. Models with linear effects, therefore, do not lead to a meaningful characterization of the dynamics of tumor-stroma interactions. To understand the dynamics and the effect of therapies it is necessary to estimate the shape of the benefit functions experimentally and parametrize models based on these functions.

Sprache
Englisch

Erschienen in
Journal: Games ; ISSN: 2073-4336 ; Volume: 9 ; Year: 2018 ; Issue: 2 ; Pages: 1-11 ; Basel: MDPI

Klassifikation
Wirtschaft
Thema
game theory
cancer
stroma
tumor microenvironment
nonlinear benefits

Ereignis
Geistige Schöpfung
(wer)
Sartakhti, Javad Salimi
Manshaei, Mohammad Hossein
Archetti, Marco
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2018

DOI
doi:10.3390/g9020032
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Sartakhti, Javad Salimi
  • Manshaei, Mohammad Hossein
  • Archetti, Marco
  • MDPI

Entstanden

  • 2018

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