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Agonistic CD40 mAb-Driven IL12 Reverses Resistance to Anti-PD1 in a T-cell–Rich Tumor

Overview of attention for article published in Cancer Research, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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2 X users
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7 patents

Citations

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74 Dimensions

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116 Mendeley
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Title
Agonistic CD40 mAb-Driven IL12 Reverses Resistance to Anti-PD1 in a T-cell–Rich Tumor
Published in
Cancer Research, October 2016
DOI 10.1158/0008-5472.can-16-2141
Pubmed ID
Authors

Shin Foong Ngiow, Arabella Young, Stephen J. Blake, Geoffrey R. Hill, Hideo Yagita, Michele W. L. Teng, Alan J. Korman, Mark J. Smyth

Abstract

The durability and efficacy of anti-human PD1 monoclonal antibodies (PD1 mAb) vary across different malignancies. Although an absence of tumor-infiltrating cytotoxic T lymphocytes has been identified as a cause for resistance to PD1 mAb, the presence of intratumor exhausted PD1hi T cells also contributes to insensitivity to this immune checkpoint therapy. In this study, we used mouse tumor models of PD1 mAb resistance that harbored PD1hi T cells and flow cytometry analysis of tumor-infiltrating leukocytes immediately post-therapy as a screening platform to identify agents that could resensitize T cells to PD1 blockade. We showed that an agonistic anti-CD40 mAb converted PD1hi T cells into PD1lo T cells, reversing phenotypic T cell exhaustion and allowing the anti-PD1 refractory tumors to respond to anti-PD1 therapy. PD1 down-modulation by anti-CD40 mAb relied upon IL-12 but not IL-23, CD80/CD86/CD28 or CD70/CD27. Consistent with a role for regulatory T cells (Treg) in promoting T cell exhaustion, we also showed that intratumor Treg presented with a less activated and attenuated suppressive phenotype, marked by reductions in CTLA4 and PD1. Similar to anti-CD40 mAb, anti-CTLA4 mAb also lowered intratumor T cell PD1 expression. Our study provides a proof-of-principle framework to systematically identify immune conditioning agents able to convert PD1hi T cells to PD1lo T cells, with clinical implications in the management of anti-PD1 refractory patients.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United States 1 <1%
Chile 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 27%
Student > Ph. D. Student 18 16%
Student > Master 10 9%
Other 9 8%
Student > Postgraduate 8 7%
Other 16 14%
Unknown 24 21%
Readers by discipline Count As %
Immunology and Microbiology 37 32%
Medicine and Dentistry 20 17%
Agricultural and Biological Sciences 14 12%
Biochemistry, Genetics and Molecular Biology 9 8%
Engineering 4 3%
Other 6 5%
Unknown 26 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 March 2023.
All research outputs
#3,201,436
of 23,572,442 outputs
Outputs from Cancer Research
#2,736
of 18,323 outputs
Outputs of similar age
#55,131
of 314,210 outputs
Outputs of similar age from Cancer Research
#72
of 181 outputs
Altmetric has tracked 23,572,442 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 84% 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 314,210 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 82% of its contemporaries.
We're also able to compare this research output to 181 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 58% of its contemporaries.