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Structural Adaptation and Heterogeneity of Normal and Tumor Microvascular Networks

Overview of attention for article published in PLoS Computational Biology, May 2009
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Title
Structural Adaptation and Heterogeneity of Normal and Tumor Microvascular Networks
Published in
PLoS Computational Biology, May 2009
DOI 10.1371/journal.pcbi.1000394
Pubmed ID
Authors

Axel R. Pries, Annemiek J. M. Cornelissen, Anoek A. Sloot, Marlene Hinkeldey, Matthew R. Dreher, Michael Höpfner, Mark W. Dewhirst, Timothy W. Secomb

Abstract

Relative to normal tissues, tumor microcirculation exhibits high structural and functional heterogeneity leading to hypoxic regions and impairing treatment efficacy. Here, computational simulations of blood vessel structural adaptation are used to explore the hypothesis that abnormal adaptive responses to local hemodynamic and metabolic stimuli contribute to aberrant morphological and hemodynamic characteristics of tumor microcirculation. Topology, vascular diameter, length, and red blood cell velocity of normal mesenteric and tumor vascular networks were recorded by intravital microscopy. Computational models were used to estimate hemodynamics and oxygen distribution and to simulate vascular diameter adaptation in response to hemodynamic, metabolic and conducted stimuli. The assumed sensitivity to hemodynamic and conducted signals, the vascular growth tendency, and the random variability of vascular responses were altered to simulate 'normal' and 'tumor' adaptation modes. The heterogeneous properties of vascular networks were characterized by diameter mismatch at vascular branch points (d(3) (var)) and deficit of oxygen delivery relative to demand (O(2def)). In the tumor, d(3) (var) and O(2def) were higher (0.404 and 0.182) than in normal networks (0.278 and 0.099). Simulated remodeling of the tumor network with 'normal' parameters gave low values (0.288 and 0.099). Conversely, normal networks attained tumor-like characteristics (0.41 and 0.179) upon adaptation with 'tumor' parameters, including low conducted sensitivity, increased growth tendency, and elevated random biological variability. It is concluded that the deviant properties of tumor microcirculation may result largely from defective structural adaptation, including strongly reduced responses to conducted stimuli.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Switzerland 1 <1%
Italy 1 <1%
Austria 1 <1%
Germany 1 <1%
Canada 1 <1%
India 1 <1%
Korea, Republic of 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 28%
Researcher 26 19%
Student > Master 12 9%
Student > Bachelor 11 8%
Professor > Associate Professor 9 6%
Other 20 14%
Unknown 22 16%
Readers by discipline Count As %
Engineering 27 19%
Agricultural and Biological Sciences 20 14%
Medicine and Dentistry 19 14%
Biochemistry, Genetics and Molecular Biology 10 7%
Physics and Astronomy 9 6%
Other 30 22%
Unknown 24 17%
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 10 September 2009.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#7,481
of 8,964 outputs
Outputs of similar age
#107,374
of 125,309 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 43 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 125,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.