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BMC Cancer
Published in: BMC Cancer 1/2018

Open Access 01-12-2018 | Research article

Modeling treatment-dependent glioma growth including a dormant tumor cell subpopulation

Authors: Marvin A. Böttcher, Janka Held-Feindt, Michael Synowitz, Ralph Lucius, Arne Traulsen, Kirsten Hattermann

Published in: BMC Cancer | Issue 1/2018

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Abstract

Background

Tumors comprise a variety of specialized cell phenotypes adapted to different ecological niches that massively influence the tumor growth and its response to treatment.

Methods

In the background of glioblastoma multiforme, a highly malignant brain tumor, we consider a rapid proliferating phenotype that appears susceptible to treatment, and a dormant phenotype which lacks this pronounced proliferative ability and is not affected by standard therapeutic strategies. To gain insight in the dynamically changing proportions of different tumor cell phenotypes under different treatment conditions, we develop a mathematical model and underline our assumptions with experimental data.

Results

We show that both cell phenotypes contribute to the distinct composition of the tumor, especially in cycling low and high dose treatment, and therefore may influence the tumor growth in a phenotype specific way.

Conclusion

Our model of the dynamic proportions of dormant and rapidly growing glioblastoma cells in different therapy settings suggests that phenotypically different cells should be considered to plan dose and duration of treatment schedules.
Footnotes
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Metadata
Title
Modeling treatment-dependent glioma growth including a dormant tumor cell subpopulation
Authors
Marvin A. Böttcher
Janka Held-Feindt
Michael Synowitz
Ralph Lucius
Arne Traulsen
Kirsten Hattermann
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4281-1

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