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Generation of dual specific bivalent BiTEs (dbBIspecific T-cell engaging antibodies) for cellular immunotherapy

Overview of attention for article published in BMC Cancer, September 2019
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Title
Generation of dual specific bivalent BiTEs (dbBIspecific T-cell engaging antibodies) for cellular immunotherapy
Published in
BMC Cancer, September 2019
DOI 10.1186/s12885-019-6056-8
Pubmed ID
Authors

Maciej Kujawski, Lin Li, Supriyo Bhattacharya, Patty Wong, Wen-Hui Lee, Lindsay Williams, Harry Li, Junie Chea, Kofi Poku, Nicole Bowles, Nagarajan Vaidehi, Paul Yazaki, John E. Shively

Abstract

Bispecific T-cell engaging antibodies (BiTES), comprising dual anti-CD3 and anti-tumor antigen scFv fragments, are important therapeutic agents for the treatment of cancer. The dual scFv construct for BiTES requires proper protein folding while their small molecular size leads to rapid kidney clearance. An intact (150 kDa) anti-tumor antigen antibody to CEA was joined in high yield (ca. 30%) to intact (150 kDa) anti-murine and anti-human CD3 antibodies using hinge region specific Click chemistry to form dual-specific, bivalent BiTES (dbBiTES, 300 kDa). dbBiTEs were tested in vitro by EM, flow cytometry and cell cytoxicity and in vivo by PET tumor imaging and redirected T-cell therapy. The interlocked hinge regions are compatible with a structural model that fits the electron micrographs of 300 kDa particles. Compared to intact anti-CEA antibody, dbBiTES exhibit high in vitro cytotoxicity, high in vivo tumor targeting as demonstrated by PET imaging, and redirected dbBiTE coated T-cells (1 microgram/10 million cells) that kill CEA+ target cells in vivo in CEA transgenic mice. dbBiTE redirected T-cell therapy is a promising, efficient approach for targeting and killing cancer cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Bachelor 3 11%
Student > Master 3 11%
Student > Postgraduate 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 37%
Medicine and Dentistry 4 15%
Immunology and Microbiology 3 11%
Chemistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 6 22%
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 07 September 2019.
All research outputs
#21,391,516
of 23,884,161 outputs
Outputs from BMC Cancer
#6,701
of 8,507 outputs
Outputs of similar age
#292,985
of 343,403 outputs
Outputs of similar age from BMC Cancer
#100
of 151 outputs
Altmetric has tracked 23,884,161 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 8,507 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 151 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.