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Activated human γδ T cells induce peptide-specific CD8+ T-cell responses to tumor-associated self-antigens

Overview of attention for article published in Cancer Immunology, Immunotherapy, September 2011
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Title
Activated human γδ T cells induce peptide-specific CD8+ T-cell responses to tumor-associated self-antigens
Published in
Cancer Immunology, Immunotherapy, September 2011
DOI 10.1007/s00262-011-1111-6
Pubmed ID
Authors

Bianca Altvater, Sibylle Pscherer, Silke Landmeier, Sareetha Kailayangiri, Barbara Savoldo, Heribert Juergens, Claudia Rossig

Abstract

Specific cellular immunotherapy of cancer requires efficient generation and expansion of cytotoxic T lymphocytes (CTLs) that recognize tumor-associated self-antigens. Here, we investigated the capacity of human γδ T cells to induce expansion of CD8+ T cells specific for peptides derived from the weakly immunogenic tumor-associated self-antigens PRAME and STEAP1. Coincubation of aminobisphosphonate-stimulated human peripheral blood-derived γδ T cells (Vγ9+Vδ2+), loaded with HLA-A*02-restricted epitopes of PRAME, with autologous peripheral blood CD8+ T cells stimulated the expansion of peptide-specific cytolytic effector memory T cells. Moreover, peptide-loaded γδ T cells efficiently primed antigen-naive CD45RA+ CD8+ T cells against PRAME peptides. Direct comparisons with mature DCs revealed equal potency of γδ T cells and DCs in inducing primary T-cell responses and peptide-specific T-cell activation and expansion. Antigen presentation by γδ T-APCs was not able to overcome the limited capacity of peptide-specific T cells to interact with targets expressing full-length antigen. Importantly, T cells with regulatory phenotype (CD4+ CD25hiFoxP3+) were lower in cocultures with γδ T cells compared to DCs. In summary, bisphosphonate-activated γδ T cells permit generation of CTLs specific for weakly immunogenic tumor-associated epitopes. Exploiting this strategy for effective immunotherapy of cancer requires strategies that enhance the avidity of CTL responses to allow for efficient targeting of cancer.

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The data shown below were collected from the profile of 1 X user 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 10 19%
Student > Master 9 17%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 23%
Medicine and Dentistry 12 23%
Immunology and Microbiology 12 23%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 6%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 September 2011.
All research outputs
#17,646,807
of 22,651,245 outputs
Outputs from Cancer Immunology, Immunotherapy
#2,332
of 2,882 outputs
Outputs of similar age
#106,533
of 130,244 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#35
of 39 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,882 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 130,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.