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American Association for Cancer Research

T-Cell Exhaustion Signatures Vary with Tumor Type and Are Severe in Glioblastoma

Overview of attention for article published in Clinical Cancer Research, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
23 news outlets
blogs
1 blog
twitter
22 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
418 Dimensions

Readers on

mendeley
380 Mendeley
Title
T-Cell Exhaustion Signatures Vary with Tumor Type and Are Severe in Glioblastoma
Published in
Clinical Cancer Research, September 2018
DOI 10.1158/1078-0432.ccr-17-1846
Pubmed ID
Authors

Karolina Woroniecka, Pakawat Chongsathidkiet, Kristen Rhodin, Hanna Kemeny, Cosette Dechant, S. Harrison Farber, Aladine A. Elsamadicy, Xiuyu Cui, Shohei Koyama, Christina Jackson, Landon J. Hansen, Tanner M. Johanns, Luis Sanchez-Perez, Vidyalakshmi Chandramohan, Yen-Rei Andrea Yu, Darell D. Bigner, Amber Giles, Patrick Healy, Glenn Dranoff, Kent J. Weinhold, Gavin P. Dunn, Peter E. Fecci

Abstract

T cell dysfunction is a hallmark of GBM. While anergy and tolerance have been well characterized, T cell exhaustion remains relatively unexplored. Exhaustion, characterized in part by the upregulation of multiple immune checkpoints, is a known contributor to failures amidst immune checkpoint blockade, a strategy that has lacked success thus far in GBM. This study is among the first to examine, and credential as bona fide, exhaustion among T cells infiltrating human and murine GBM. Tumor-infiltrating and peripheral blood lymphocytes (TIL, PBL) were isolated from patients with GBM. Levels of exhaustion-associated inhibitory receptors and post-stimulation levels of the cytokines IFN-g, TNF-a, and IL-2 were assessed by flow cytometry. T cell receptor (TCR) Vβ chain expansion was also assessed in TIL and PBL. Similar analysis was extended to TIL isolated from intracranial and subcutaneous immunocompetent murine models of glioma, breast, lung, and melanoma cancers. Our data reveal that GBM elicits a particularly severe T cell exhaustion signature among infiltrating T cells characterized by: 1) prominent upregulation of multiple immune checkpoints; 2) stereotyped T cell transcriptional programs matching classical virus-induced exhaustion; and 3) notable T cell hypo-responsiveness in tumor-specific T cells. Exhaustion signatures differ predictably with tumor identity, but remain stable across manipulated tumor locations. Distinct cancers possess similarly distinct mechanisms for exhausting T cells. The poor TIL function and severe exhaustion observed in GBM highlights the need to better understand this tumor-imposed mode of T cell dysfunction in order to formulate effective immunotherapeutic strategies targeting GBM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 380 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 20%
Researcher 47 12%
Student > Master 33 9%
Student > Bachelor 33 9%
Student > Doctoral Student 23 6%
Other 51 13%
Unknown 116 31%
Readers by discipline Count As %
Immunology and Microbiology 62 16%
Medicine and Dentistry 59 16%
Biochemistry, Genetics and Molecular Biology 43 11%
Agricultural and Biological Sciences 27 7%
Neuroscience 19 5%
Other 31 8%
Unknown 139 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 194. 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 15 December 2021.
All research outputs
#198,807
of 24,972,357 outputs
Outputs from Clinical Cancer Research
#85
of 13,152 outputs
Outputs of similar age
#4,112
of 340,917 outputs
Outputs of similar age from Clinical Cancer Research
#2
of 192 outputs
Altmetric has tracked 24,972,357 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 99% 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 340,917 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 98% of its contemporaries.
We're also able to compare this research output to 192 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 99% of its contemporaries.