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Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2007
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Article details
Title
Mathematical modeling of cell population dynamics in the colonic crypt and in colorectal cancer
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2007
DOI 10.1073/pnas.0611179104
Pubmed ID
Authors
Abstract

Colorectal cancer is initiated in colonic crypts. A succession of genetic mutations or epigenetic changes can lead to homeostasis in the crypt being overcome, and subsequent unbounded growth. We consider the dynamics of a single colorectal crypt by using a compartmental approach [Tomlinson IPM, Bodmer WF (1995) Proc Natl Acad Sci USA 92:], which accounts for populations of stem cells, differentiated cells, and transit cells. That original model made the simplifying assumptions that each cell population divides synchronously, but we relax these assumptions by adopting an age-structured approach that models asynchronous cell division, and by using a continuum model. We discuss two mechanisms that could regulate the growth of cell numbers and maintain the equilibrium that is normally observed in the crypt. The first will always maintain an equilibrium for all parameter values, whereas the second can allow unbounded proliferation if the net per capita growth rates are large enough. Results show that an increase in cell renewal, which is equivalent to a failure of programmed cell death or of differentiation, can lead to the growth of cancers. The second model can be used to explain the long lag phases in tumor growth, during which new, higher equilibria are reached, before unlimited growth in cell numbers ensues.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 3%
United Kingdom 3 1%
France 2 <1%
Spain 2 <1%
Germany 2 <1%
Portugal 1 <1%
Netherlands 1 <1%
India 1 <1%
Czechia 1 <1%
Other 2 <1%
Unknown 205 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 62 27%
Student > Ph. D. Student 56 25%
Student > Master 20 9%
Professor > Associate Professor 16 7%
Other 10 4%
Other 35 15%
Unknown 28 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 66 29%
Biochemistry, Genetics and Molecular Biology 28 12%
Mathematics 23 10%
Engineering 19 8%
Physics and Astronomy 16 7%
Other 40 18%
Unknown 35 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 November 2013.
All research outputs
#28,639,288
of 34,410,315 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#114,088
of 119,005 outputs
Outputs of similar age
#121,663
of 128,970 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#711
of 723 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 128,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.