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Real-Time Visualization and Quantitation of Vascular Permeability In Vivo: Implications for Drug Delivery

Overview of attention for article published in PLOS ONE, March 2012
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Title
Real-Time Visualization and Quantitation of Vascular Permeability In Vivo: Implications for Drug Delivery
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033760
Pubmed ID
Authors

Desmond B. S. Pink, Wendy Schulte, Missag H. Parseghian, Andries Zijlstra, John D. Lewis

Abstract

The leaky, heterogeneous vasculature of human tumors prevents the even distribution of systemic drugs within cancer tissues. However, techniques for studying vascular delivery systems in vivo often require complex mammalian models and time-consuming, surgical protocols. The developing chicken embryo is a well-established model for human cancer that is easily accessible for tumor imaging. To assess this model for the in vivo analysis of tumor permeability, human tumors were grown on the chorioallantoic membrane (CAM), a thin vascular membrane which overlays the growing chick embryo. The real-time movement of small fluorescent dextrans through the tumor vasculature and surrounding tissues were used to measure vascular leak within tumor xenografts. Dextran extravasation within tumor sites was selectively enhanced an interleukin-2 (IL-2) peptide fragment or vascular endothelial growth factor (VEGF). VEGF treatment increased vascular leak in the tumor core relative to surrounding normal tissue and increased doxorubicin uptake in human tumor xenografts. This new system easily visualizes vascular permeability changes in vivo and suggests that vascular permeability may be manipulated to improve chemotherapeutic targeting to tumors.

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The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Netherlands 1 <1%
United States 1 <1%
India 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Researcher 22 19%
Student > Master 10 9%
Student > Doctoral Student 9 8%
Student > Bachelor 8 7%
Other 17 15%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 31%
Engineering 14 12%
Medicine and Dentistry 13 11%
Biochemistry, Genetics and Molecular Biology 11 10%
Immunology and Microbiology 5 4%
Other 15 13%
Unknown 21 18%