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T Cells Expressing CD19/CD20 Bispecific Chimeric Antigen Receptors Prevent Antigen Escape by Malignant B Cells

Overview of attention for article published in Cancer Immunology Research, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
6 tweeters
patent
38 patents

Citations

dimensions_citation
359 Dimensions

Readers on

mendeley
342 Mendeley
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Title
T Cells Expressing CD19/CD20 Bispecific Chimeric Antigen Receptors Prevent Antigen Escape by Malignant B Cells
Published in
Cancer Immunology Research, April 2016
DOI 10.1158/2326-6066.cir-15-0231
Pubmed ID
Authors

Eugenia Zah, Meng-Yin Lin, Anne Silva-Benedict, Michael C. Jensen, Yvonne Y. Chen

Abstract

The adoptive transfer of T cells expressing anti-CD19 chimeric antigen receptors (CARs) has shown remarkable curative potential against advanced B-cell malignancies, but multiple trials have also reported patient relapses due to the emergence of CD19-negative leukemic cells. Here, we report the design and optimization of single-chain, bi-specific CARs that trigger robust cytotoxicity against target cells expressing either CD19 or CD20, two clinically validated targets for B-cell malignancies. We determined the structural parameters required for efficient dual-antigen recognition, and we demonstrate that optimized bi-specific CARs can control both wild-type B-cell lymphoma and CD19- mutants with equal efficiency in vivo. To our knowledge, this is the first bi-specific CAR capable of preventing antigen escape by performing true OR-gate signal computation on a clinically relevant pair of tumor-associated antigens. The CD19-OR-CD20 CAR is fully compatible with existing T-cell manufacturing procedures and implementable by current clinical protocols. These results present an effective solution to the challenge of antigen escape in CD19 CAR T-cell therapy, and they highlight the utility of structure-based rational design in the development of receptors with higher-level complexity.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 341 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 22%
Researcher 64 19%
Student > Bachelor 47 14%
Student > Master 41 12%
Student > Doctoral Student 18 5%
Other 37 11%
Unknown 60 18%
Readers by discipline Count As %
Immunology and Microbiology 64 19%
Biochemistry, Genetics and Molecular Biology 63 18%
Agricultural and Biological Sciences 56 16%
Medicine and Dentistry 43 13%
Engineering 19 6%
Other 32 9%
Unknown 65 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 03 May 2022.
All research outputs
#904,510
of 21,110,276 outputs
Outputs from Cancer Immunology Research
#85
of 1,258 outputs
Outputs of similar age
#18,050
of 280,033 outputs
Outputs of similar age from Cancer Immunology Research
#3
of 25 outputs
Altmetric has tracked 21,110,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% of its peers.
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 280,033 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.