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Properties of Tumor Spheroid Growth Exhibited by Simple Mathematical Models

Overview of attention for article published in Frontiers in oncology, January 2013
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Title
Properties of Tumor Spheroid Growth Exhibited by Simple Mathematical Models
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00051
Pubmed ID
Authors

Dorothy I. Wallace, Xinyue Guo

Abstract

Solid tumors, whether in vitro or in vivo, are not an undifferentiated mass of cells. They include necrotic regions, regions of cells that are in a quiescent state (either slowly growing or not growing at all), and regions where cells proliferate rapidly. The decision of a cell to become quiescent or proliferating is thought to depend on both nutrient and oxygen availability and on the presence of tumor necrosis factor, a substance produced by necrotic cells that somehow inhibits the further growth of the tumor. Several different models have been suggested for the basic growth rate of in vitro tumor spheroids, and several different mechanisms are possible by which tumor necrosis factor might halt growth. The models predict the trajectory of growth for a virtual tumor, including proportions of the various components during its time evolution. In this paper we look at a range of hypotheses about basic rates tumor growth and the role of tumor necrotic factor, and determine what possible tumor growth patterns follow from each of twenty-five reasonable models. Proliferating, quiescent and necrotic cells are included, along with tumor necrosis factor as a potential inhibitor of growth in the proliferating pool and two way exchange between the quiescent and proliferating pools. We show that a range of observed qualitative properties of in vitro tumor spheroids at equilibrium are exhibited by one particular simple mathematical model, and discuss implications of this model for tumor growth.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 1 1%
Canada 1 1%
Venezuela, Bolivarian Republic of 1 1%
United States 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Bachelor 13 17%
Researcher 9 12%
Student > Master 8 11%
Professor 5 7%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Agricultural and Biological Sciences 14 19%
Engineering 8 11%
Mathematics 4 5%
Medicine and Dentistry 3 4%
Other 18 24%
Unknown 14 19%
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 15 March 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Frontiers in oncology
#15,918
of 22,416 outputs
Outputs of similar age
#258,412
of 288,991 outputs
Outputs of similar age from Frontiers in oncology
#194
of 328 outputs
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We're also able to compare this research output to 328 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.