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Highly Specific PET Imaging of Prostate Tumors in Mice with an Iodine-124-Labeled Antibody Fragment That Targets Phosphatidylserine

Overview of attention for article published in PLOS ONE, December 2013
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Title
Highly Specific PET Imaging of Prostate Tumors in Mice with an Iodine-124-Labeled Antibody Fragment That Targets Phosphatidylserine
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0084864
Pubmed ID
Authors

Jason H. Stafford, Guiyang Hao, Anne M. Best, Xiankai Sun, Philip E. Thorpe

Abstract

Phosphatidylserine (PS) is an attractive target for imaging agents that identify tumors and assess their response to therapy. PS is absent from the surface of most cell types, but becomes exposed on tumor cells and tumor vasculature in response to oxidative stresses in the tumor microenvironment and increases in response to therapy. To image exposed PS, we used a fully human PS-targeting antibody fragment, PGN635 F(ab')2, that binds to complexes of PS and β2-glycoprotein I. PGN635 F(ab')2 was labeled with the positron-emitting isotope iodine-124 ((124)I) and the resulting probe was injected into nude mice bearing subcutaneous or orthotopic human PC3 prostate tumors. Biodistribution studies showed that (124)I-PGN635 F(ab')2 localized with remarkable specificity to the tumors with little uptake in other organs, including the liver and kidneys. Clear delineation of the tumors was achieved by PET 48 hours after injection. Radiation of the tumors with 15 Gy or systemic treatment of the mice with 10 mg/kg docetaxel increased localization in the tumors. Tumor-to-normal (T/N) ratios were inversely correlated with tumor growth measured over 28 days. These data indicate that (124)I-PGN635 F(ab')2 is a promising new imaging agent for predicting tumor response to therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Italy 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Researcher 8 22%
Other 4 11%
Student > Bachelor 4 11%
Professor 3 8%
Other 4 11%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 5 14%
Chemistry 5 14%
Engineering 3 8%
Other 6 17%
Unknown 4 11%