↓ Skip to main content

Beyond the Antigen Receptor: Editing the Genome of T-Cells for Cancer Adoptive Cellular Therapies

Overview of attention for article published in Frontiers in immunology, January 2013
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
twitter
2 X users
patent
19 patents

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
95 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Beyond the Antigen Receptor: Editing the Genome of T-Cells for Cancer Adoptive Cellular Therapies
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00221
Pubmed ID
Authors

Angharad Lloyd, Owen N. Vickery, Bruno Laugel

Abstract

Recent early stage clinical trials evaluating the adoptive transfer of patient CD8(+) T-cells re-directed with antigen receptors recognizing tumors have shown very encouraging results. These reports provide strong support for further development of the therapeutic concept as a curative cancer treatment. In this respect combining the adoptive transfer of tumor-specific T-cells with therapies that increase their anti-tumor capacity is viewed as a promising strategy to improve treatment outcome. The ex vivo genetic engineering step that underlies T-cell re-direction offers a unique angle to combine antigen receptor delivery with the targeting of cell-intrinsic pathways that restrict T-cell effector functions. Recent progress in genome editing technologies such as protein- and RNA-guided endonucleases raise the possibility of disrupting gene expression in T-cells in order to enhance effector functions or to bypass tumor immune suppression. This approach would avoid the systemic administration of compounds that disrupt immune homeostasis, potentially avoiding autoimmune adverse effects, and could improve the efficacy of T-cell based adoptive therapies.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
Portugal 1 1%
Spain 1 1%
Brazil 1 1%
Unknown 89 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 25%
Researcher 23 24%
Student > Master 18 19%
Student > Bachelor 7 7%
Student > Postgraduate 4 4%
Other 11 12%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 39%
Biochemistry, Genetics and Molecular Biology 17 18%
Immunology and Microbiology 8 8%
Medicine and Dentistry 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Other 10 11%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 26 June 2024.
All research outputs
#1,476,062
of 26,277,952 outputs
Outputs from Frontiers in immunology
#1,323
of 32,909 outputs
Outputs of similar age
#12,376
of 294,188 outputs
Outputs of similar age from Frontiers in immunology
#8
of 503 outputs
Altmetric has tracked 26,277,952 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,909 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 95% 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 294,188 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 95% of its contemporaries.
We're also able to compare this research output to 503 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 98% of its contemporaries.