A Multi-Compartment Mathematical Model of Cancer Stem Cell Driven Tumor Growth Dynamics

Tumors are appreciated to be an intrinsically heterogeneous population of cells with varying proliferation capacities and tumorigenic potentials. As a central tenet of the so-called cancer stem cell hypothesis, most cancer cells have only a limited lifespan and thus cannot initiate or re-initiate tu...

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Bibliographic Details
Published inBulletin of mathematical biology Vol. 76; no. 7; pp. 1762 - 1782
Main Authors Weekes, Suzanne L., Barker, Brian, Bober, Sarah, Cisneros, Karina, Cline, Justina, Thompson, Amanda, Hlatky, Lynn, Hahnfeldt, Philip, Enderling, Heiko
Format Journal Article
LanguageEnglish
Published 20.05.2014
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Summary:Tumors are appreciated to be an intrinsically heterogeneous population of cells with varying proliferation capacities and tumorigenic potentials. As a central tenet of the so-called cancer stem cell hypothesis, most cancer cells have only a limited lifespan and thus cannot initiate or re-initiate tumors. Longevity and clonogenicity are properties unique to the subpopulation of cancer stem cells. To understand the implications of the population structure suggested by this hypothesis - a hierarchy consisting of cancer stem cells and progeny non-stem cancer cells which experience a reduction in their remaining proliferation capacity per division - we set out to develop a mathematical model for the development of the aggregate population. We show that overall tumor progression rate during the exponential growth phase is identical to the growth rate of the cancer stem cell compartment. Tumors with identical stem cell proportions, however, can have different growth rates, dependent on the proliferation kinetics of all participating cell populations. Analysis of the model revealed that the proliferation potential of non-stem cancer cells is likely to be small to reproduce biologic observations. Furthermore, a single compartment of non-stem cancer cell population may adequately represent population growth dynamics only when the compartment proliferation rate is scaled with the generational hierarchy depth.
ISSN:0092-8240
1522-9602
DOI:10.1007/s11538-014-9976-0