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

Overview of attention for article published in Bulletin of Mathematical Biology, May 2014
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Title
A Multicompartment Mathematical Model of Cancer Stem Cell-Driven Tumor Growth Dynamics
Published in
Bulletin of Mathematical Biology, May 2014
DOI 10.1007/s11538-014-9976-0
Pubmed ID
Authors

Suzanne L. Weekes, Brian Barker, Sarah Bober, Karina Cisneros, Justina Cline, Amanda Thompson, Lynn Hlatky, Philip Hahnfeldt, Heiko Enderling

Abstract

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 reinitiate 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Venezuela, Bolivarian Republic of 1 2%
France 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 9 17%
Student > Master 8 15%
Student > Bachelor 5 9%
Student > Postgraduate 3 6%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Biochemistry, Genetics and Molecular Biology 7 13%
Physics and Astronomy 5 9%
Engineering 5 9%
Mathematics 2 4%
Other 7 13%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2020.
All research outputs
#12,782,116
of 22,756,196 outputs
Outputs from Bulletin of Mathematical Biology
#469
of 1,093 outputs
Outputs of similar age
#103,951
of 226,287 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#4
of 8 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,093 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 226,287 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.