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Critical biological parameters modulate affinity as a determinant of function in T-cell receptor gene-modified T-cells

Overview of attention for article published in Cancer Immunology, Immunotherapy, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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3 X users
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1 patent

Citations

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14 Dimensions

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33 Mendeley
Title
Critical biological parameters modulate affinity as a determinant of function in T-cell receptor gene-modified T-cells
Published in
Cancer Immunology, Immunotherapy, June 2017
DOI 10.1007/s00262-017-2032-9
Pubmed ID
Authors

Timothy T. Spear, Yuan Wang, Kendra C. Foley, David C. Murray, Gina M. Scurti, Patricia E. Simms, Elizabeth Garrett-Mayer, Lance M. Hellman, Brian M. Baker, Michael I. Nishimura

Abstract

T-cell receptor (TCR)-pMHC affinity has been generally accepted to be the most important factor dictating antigen recognition in gene-modified T-cells. As such, there is great interest in optimizing TCR-based immunotherapies by enhancing TCR affinity to augment the therapeutic benefit of TCR gene-modified T-cells in cancer patients. However, recent clinical trials using affinity-enhanced TCRs in adoptive cell transfer (ACT) have observed unintended and serious adverse events, including death, attributed to unpredicted off-tumor or off-target cross-reactivity. It is critical to re-evaluate the importance of other biophysical, structural, or cellular factors that drive the reactivity of TCR gene-modified T-cells. Using a model for altered antigen recognition, we determined how TCR-pMHC affinity influenced the reactivity of hepatitis C virus (HCV) TCR gene-modified T-cells against a panel of naturally occurring HCV peptides and HCV-expressing tumor targets. The impact of other factors, such as TCR-pMHC stabilization and signaling contributions by the CD8 co-receptor, as well as antigen and TCR density were also evaluated. We found that changes in TCR-pMHC affinity did not always predict or dictate IFNγ release or degranulation by TCR gene-modified T-cells, suggesting that less emphasis might need to be placed on TCR-pMHC affinity as a means of predicting or augmenting the therapeutic potential of TCR gene-modified T-cells used in ACT. A more complete understanding of antigen recognition by gene-modified T-cells and a more rational approach to improve the design and implementation of novel TCR-based immunotherapies is necessary to enhance efficacy and maximize safety in patients.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Researcher 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 7 21%
Readers by discipline Count As %
Immunology and Microbiology 8 24%
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 2 6%
Physics and Astronomy 2 6%
Other 4 12%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 January 2018.
All research outputs
#5,657,238
of 22,982,639 outputs
Outputs from Cancer Immunology, Immunotherapy
#818
of 2,895 outputs
Outputs of similar age
#89,670
of 316,841 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#8
of 34 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,895 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 71% 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 316,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.