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An optimized bicistronic chimeric antigen receptor against GPC2 or CD276 overcomes heterogeneous expression in neuroblastoma

Overview of attention for article published in Journal of Clinical Investigation, August 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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17 X users
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2 patents
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1 Facebook page

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55 Mendeley
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Article details
Title
An optimized bicistronic chimeric antigen receptor against GPC2 or CD276 overcomes heterogeneous expression in neuroblastoma
Published in
Journal of Clinical Investigation, August 2022
DOI 10.1172/jci155621
Pubmed ID
Authors
Abstract

Chimeric antigen receptor (CAR) T-cell therapies targeting single antigens perform poorly in clinical trials for solid tumors due to heterogenous expression of tumor-associated antigens (TAAs), limited T-cell persistence and exhaustion. Here we aimed to identify optimal CARs against Glypican-2 (GPC2) or CD276 (B7-H3), which were highly but heterogeneously expressed in neuroblastoma (NB), a lethal extracranial solid tumor of childhood. First, we examined CAR T-cell expansion in the presence of target by digital droplet PCR. Next, using Pooled Competitive Optimization of CAR by CITE-seq (P-COCC), we simultaneously analyzed protein and transcriptome expression of CAR T-cells to identify high activity CARs. Finally, we performed cytotoxicity assays to identify the most effective CAR against each target and combined them into a bicistronic "OR" CAR (BiCisCAR). BiCisCAR T-cells effectively eliminated tumor cells expressing GPC2 or CD276. Furthermore, the BiCisCAR demonstrated prolonged persistence and resistance to exhaustion comparing with single antigen targeting CARs. This study illustrated that targeting multiple TAAs with BiCisCARs may overcome heterogenous expression of target antigen in solid tumors, and identified a potent clinically relevant CAR against NB. Moreover, our multimodal approach integrating competitive expansion, P-COCC, and cytotoxicity assays is an effective strategy to identify potent CARs from a pool of candidates.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 13%
Student > Bachelor 5 9%
Student > Ph. D. Student 4 7%
Other 3 5%
Student > Master 3 5%
Other 6 11%
Unknown 27 49%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Medicine and Dentistry 5 9%
Immunology and Microbiology 4 7%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 30 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 November 2025.
All research outputs
#3,007,162
of 32,638,629 outputs
Outputs from Journal of Clinical Investigation
#3,984
of 20,217 outputs
Outputs of similar age
#50,344
of 444,751 outputs
Outputs of similar age from Journal of Clinical Investigation
#41
of 115 outputs
Altmetric has tracked 32,638,629 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 80% 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 444,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.