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Tumor- and Neoantigen-Reactive T-cell Receptors Can Be Identified Based on Their Frequency in Fresh Tumor

Overview of attention for article published in Cancer Immunology Research, September 2016
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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 (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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4 X users
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18 patents

Readers on

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267 Mendeley
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Title
Tumor- and Neoantigen-Reactive T-cell Receptors Can Be Identified Based on Their Frequency in Fresh Tumor
Published in
Cancer Immunology Research, September 2016
DOI 10.1158/2326-6066.cir-16-0001
Pubmed ID
Authors

Anna Pasetto, Alena Gros, Paul F Robbins, Drew C Deniger, Todd D Prickett, Rodrigo Matus-Nicodemos, Daniel C Douek, Bryan Howie, Harlan Robins, Maria R Parkhurst, Jared Gartner, Katarzyna Trebska-McGowan, Jessica S Crystal, Steven A Rosenberg

Abstract

Adoptive transfer of T cells with engineered T-cell receptor (TCR) genes that target tumor-specific antigens can mediate cancer regression. Accumulating evidence suggests that the clinical success of many immunotherapies is mediated by T-cells targeting mutated neoantigens unique to the patient. We hypothesized that the most frequent TCR clonotypes infiltrating the tumor were reactive against tumor antigens. To test this, we developed a multi-step strategy that involved TCRB deep sequencing of the CD8+PD-1+ T-cell subset, matching of TCRA-TCRB pairs by pairSEQ and single cell RT-PCR, followed by testing of the TCRs for tumor-antigen specificity. Analysis of 12 fresh metastatic melanomas revealed that in 11 samples, up to 5 tumor-reactive TCRs were present in the 5 most frequently occurring clonotypes, which included reactivity against neoantigens. These data demonstrate the feasibility of developing a rapid, personalized, TCR-gene therapy approach that targets the unique set of antigens presented by the autologous tumor without the need to identify their immunologic reactivity.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Korea, Republic of 1 <1%
Belgium 1 <1%
Unknown 261 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 24%
Student > Ph. D. Student 54 20%
Student > Bachelor 23 9%
Other 21 8%
Student > Master 15 6%
Other 36 13%
Unknown 55 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 61 23%
Agricultural and Biological Sciences 42 16%
Immunology and Microbiology 42 16%
Medicine and Dentistry 38 14%
Engineering 5 2%
Other 20 7%
Unknown 59 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 24 September 2024.
All research outputs
#3,045,482
of 26,560,265 outputs
Outputs from Cancer Immunology Research
#344
of 1,612 outputs
Outputs of similar age
#48,756
of 352,196 outputs
Outputs of similar age from Cancer Immunology Research
#9
of 22 outputs
Altmetric has tracked 26,560,265 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 78% 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 352,196 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 85% of its contemporaries.
We're also able to compare this research output to 22 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 59% of its contemporaries.