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A pretargeting system for tumor PET imaging and radioimmunotherapy

Overview of attention for article published in Frontiers in Pharmacology, March 2015
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Title
A pretargeting system for tumor PET imaging and radioimmunotherapy
Published in
Frontiers in Pharmacology, March 2015
DOI 10.3389/fphar.2015.00054
Pubmed ID
Authors

Françoise Kraeber-Bodéré, Caroline Rousseau, Caroline Bodet-Milin, Eric Frampas, Alain Faivre-Chauvet, Aurore Rauscher, Robert M. Sharkey, David M. Goldenberg, Jean-François Chatal, Jacques Barbet

Abstract

Labeled antibodies, as well as their fragments and antibody-derived recombinant constructs, have long been proposed as general vectors to target radionuclides to tumor lesions for imaging and therapy. They have indeed shown promise in both imaging and therapeutic applications, but they have not fulfilled the original expectations of achieving sufficient image contrast for tumor detection or sufficient radiation dose delivered to tumors for therapy. Pretargeting was originally developed for tumor immunoscintigraphy. It was assumed that directly-radiolabled antibodies could be replaced by an unlabeled immunoconjugate capable of binding both a tumor-specific antigen and a small molecular weight molecule. The small molecular weight molecule would carry the radioactive payload and would be injected after the bispecific immunoconjugate. It has been demonstrated that this approach does allow for both antibody-specific recognition and fast clearance of the radioactive molecule, thus resulting in improved tumor-to-normal tissue contrast ratios. It was subsequently shown that pretargeting also held promise for tumor therapy, translating improved tumor-to-normal tissue contrast ratios into more specific delivery of absorbed radiation doses. Many technical approaches have been proposed to implement pretargeting, and two have been extensively documented. One is based on the avidin-biotin system, and the other on bispecific antibodies binding a tumor-specific antigen and a hapten. Both have been studied in preclinical models, as well as in several clinical studies, and have shown improved targeting efficiency. This article reviews the historical and recent preclinical and clinical advances in the use of bispecific-antibody-based pretargeting for radioimmunodetection and radioimmunotherapy of cancer. The results of recent evaluation of pretargeting in PET imaging also are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Doctoral Student 8 13%
Researcher 7 11%
Professor 6 10%
Student > Master 6 10%
Other 12 20%
Unknown 10 16%
Readers by discipline Count As %
Chemistry 15 25%
Medicine and Dentistry 15 25%
Pharmacology, Toxicology and Pharmaceutical Science 6 10%
Agricultural and Biological Sciences 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 6 10%
Unknown 11 18%
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 20 April 2015.
All research outputs
#18,405,265
of 22,797,621 outputs
Outputs from Frontiers in Pharmacology
#8,197
of 16,014 outputs
Outputs of similar age
#193,635
of 264,714 outputs
Outputs of similar age from Frontiers in Pharmacology
#54
of 79 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,014 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% 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 264,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.