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TSC2-deficient tumors have evidence of T cell exhaustion and respond to anti–PD-1/anti–CTLA-4 immunotherapy

Overview of attention for article published in JCI Insight, April 2018
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Title
TSC2-deficient tumors have evidence of T cell exhaustion and respond to anti–PD-1/anti–CTLA-4 immunotherapy
Published in
JCI Insight, April 2018
DOI 10.1172/jci.insight.98674
Pubmed ID
Authors

Heng-Jia Liu, Patrick H. Lizotte, Heng Du, Maria C. Speranza, Hilaire C. Lam, Spencer Vaughan, Nicola Alesi, Kwok-Kin Wong, Gordon J. Freeman, Arlene H. Sharpe, Elizabeth P. Henske

Abstract

Tuberous sclerosis complex (TSC) is an incurable multisystem disease characterized by mTORC1-hyperactive tumors. TSC1/2 mutations also occur in other neoplastic disorders, including lymphangioleiomyomatosis (LAM) and bladder cancer. Whether TSC-associated tumors will respond to immunotherapy is unknown. We report here that the programmed death 1 coinhibitory receptor (PD-1) is upregulated on T cells in renal angiomyolipomas (AML) and pulmonary lymphangioleiomyomatosis (LAM). In C57BL/6J mice injected with syngeneic TSC2-deficient cells, anti-PD-1 alone decreased 105K tumor growth by 67% (P < 0.0001); the combination of PD-1 and CTLA-4 blockade was even more effective in suppressing tumor growth. Anti-PD-1 induced complete rejection of TSC2-deficient 105K tumors in 37% of mice (P < 0.05). Double blockade of PD-1 and CTLA-4 induced rejection in 62% of mice (P < 0.01). TSC2 reexpression in TSC2-deficient TMKOC cells enhanced antitumor immunity by increasing T cell infiltration and production of IFN-γ/TNF-α by T cells, suggesting that TSC2 and mTORC1 play specific roles in the induction of antitumor immunity. Finally, 1 month of anti-PD-1 blockade reduced renal tumor burden by 53% (P < 0.01) in genetically engineered Tsc2+/- mice. Taken together, these data demonstrate for the first time to our knowledge that checkpoint blockade may have clinical efficacy for TSC and LAM, and possibly other benign tumor syndromes, potentially yielding complete and durable clinical responses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 7 14%
Other 4 8%
Student > Master 4 8%
Professor 4 8%
Other 6 12%
Unknown 17 33%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Biochemistry, Genetics and Molecular Biology 10 20%
Immunology and Microbiology 5 10%
Agricultural and Biological Sciences 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 19 37%
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 30 April 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from JCI Insight
#3,143
of 3,353 outputs
Outputs of similar age
#254,027
of 327,386 outputs
Outputs of similar age from JCI Insight
#95
of 102 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.4. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.