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

English version

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
prolekare.web.journal.doi_sk: https://doi.org/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 – Population dynamics – Stem cells – Cell death – Mathematical models – Stem cell therapy – Cancer stem cells – Tumor stem cells

Zdroje

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

Souhrn

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Zdroje

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