Mathematical modeling reveals the factors involved in the phenomena of cancer stem cells stabilization


Autoři: Nikolay Bessonov aff001;  Guillaume Pinna aff002;  Andrey Minarsky aff003;  Annick Harel-Bellan aff002;  Nadya Morozova aff002
Působiště autorů: Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, Saint-Petersburg, Russia aff001;  Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris‐Sud, University Paris‐Saclay, Gif‐sur‐Yvette, France aff002;  Saint-Petersburg Academic University, Russian Academy of Sciences, Saint-Petersburg, Russia aff003;  Institut des Hautes Etudes Scientiques (IHES), Bures-sur-Yvette, France aff004
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0224787

Souhrn

Cancer Stem Cells (CSC), a subset of cancer cells resembling normal stem cells with self-renewal and asymmetric division capabilities, are present at various but low proportions in many tumors and are thought to be responsible for tumor relapses following conventional cancer therapies. In vitro, most intriguingly, isolated CSCs rapidly regenerate the original population of stem and non-stem cells (non-CSCs) as shown by various investigators. This phenomenon still remains to be explained. We propose a mathematical model of cancer cell population dynamics, based on the main parameters of cell population growth, including the proliferation rates, the rates of cell death and the frequency of symmetric and asymmetric cell divisions both in CSCs and non-CSCs sub-populations, and taking into account the stabilization phenomenon. The analysis of the model allows determination of time-varying corridors of probabilities for different cell fates, given the particular dynamics of cancer cells populations; and determination of a cell-cell communication factors influencing these time-varying probabilities of cell behavior (division, transition) scenarios. Though the results of the model have to be experimentally confirmed, we can anticipate the development of several fundamental and practical applications based on the theoretical results of the model.

Klíčová slova:

Cell cycle and cell division – Cell death – Mathematical models – Population dynamics – Stem cell therapy – Stem cells – Cancer stem cells – Tumor stem cells


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2019 Číslo 11