A structured population model of clonal selection in acute leukemias with multiple maturation stages

Recent progress in genetic techniques has shed light on the complex co-evolution of malignant cell clones in leukemias. However, several aspects of clonal selection still remain unclear. In this paper, we present a multi-compartmental continuously structured population model of selection dynamics in...

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Main Authors: Lorenzi, Tommaso (Author) , Marciniak-Czochra, Anna (Author) , Stiehl, Thomas (Author)
Format: Article (Journal)
Language:English
Published: 26 July 2019
In: Journal of mathematical biology
Year: 2019, Volume: 79, Issue: 5, Pages: 1587-1621
ISSN:1432-1416
DOI:10.1007/s00285-019-01404-w
Online Access:Verlag, Volltext: https://doi.org/10.1007/s00285-019-01404-w
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Author Notes:Tommaso Lorenzi, Anna Marciniak-Czochra, Thomas Stiehl

MARC

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520 |a Recent progress in genetic techniques has shed light on the complex co-evolution of malignant cell clones in leukemias. However, several aspects of clonal selection still remain unclear. In this paper, we present a multi-compartmental continuously structured population model of selection dynamics in acute leukemias, which consists of a system of coupled integro-differential equations. Our model can be analysed in a more efficient way than classical models formulated in terms of ordinary differential equations. Exploiting the analytical tractability of this model, we investigate how clonal selection is shaped by the self-renewal fraction and the proliferation rate of leukemic cells at different maturation stages. We integrate analytical results with numerical solutions of a calibrated version of the model based on real patient data. In summary, our mathematical results formalise the biological notion that clonal selection is driven by the self-renewal fraction of leukemic stem cells and the clones that possess the highest value of this parameter are ultimately selected. Moreover, we demonstrate that the self-renewal fraction and the proliferation rate of non-stem cells do not have a substantial impact on clonal selection. Taken together, our results indicate that interclonal variability in the self-renewal fraction of leukemic stem cells provides the necessary substrate for clonal selection to act upon. 
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