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Mathematical Modeling of Cancer Invasion: The Role of Membrane-Bound Matrix Metalloproteinases

Overview of attention for article published in Frontiers in oncology, January 2013
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Title
Mathematical Modeling of Cancer Invasion: The Role of Membrane-Bound Matrix Metalloproteinases
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00070
Pubmed ID
Authors

Niall E. Deakin, Mark A. J. Chaplain

Abstract

One of the hallmarks of cancer growth and metastatic spread is the process of local invasion of the surrounding tissue. Cancer cells achieve protease-dependent invasion by the secretion of enzymes involved in proteolysis. These overly expressed proteolytic enzymes then proceed to degrade the host tissue allowing the cancer cells to disseminate throughout the microenvironment by active migration and interaction with components of the extracellular matrix (ECM) such as collagen. In this paper we develop a mathematical model of cancer invasion which consider the role of matrix metalloproteinases (MMPs). Specifically our model will focus on two distinct types of MMP, i.e., soluble, diffusible MMPs (e.g., MMP-2) and membrane-bound MMPs (e.g., MT1-MMP), and the roles each of these plays in cancer invasion. The implications of MMP-2 activation by MMP-14 and the tissue inhibitor of metalloproteinases-2 are considered alongside the effect the architecture of the matrix may have when applied to a model of cancer invasion. Elements of the ECM architecture investigated include pore size of the matrix, since in some highly dense collagen structures such as breast tissue, the cancer cells are unable to physically fit through a porous region, and the crosslinking of collagen fibers. In this scenario, cancer cells rely on membrane-bound MMPs to forge a path through which degradation by other MMPs and movement of cancer cells becomes possible.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Canada 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 38%
Researcher 5 10%
Student > Master 4 8%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 27%
Mathematics 9 19%
Engineering 6 13%
Biochemistry, Genetics and Molecular Biology 3 6%
Physics and Astronomy 3 6%
Other 1 2%
Unknown 13 27%
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 03 April 2013.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Frontiers in oncology
#15,918
of 22,416 outputs
Outputs of similar age
#258,420
of 289,004 outputs
Outputs of similar age from Frontiers in oncology
#194
of 328 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 289,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.