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Understanding the Role of T-Cells in the Antimyeloma Effect of Immunomodulatory Drugs

Overview of attention for article published in Frontiers in immunology, March 2021
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Title
Understanding the Role of T-Cells in the Antimyeloma Effect of Immunomodulatory Drugs
Published in
Frontiers in immunology, March 2021
DOI 10.3389/fimmu.2021.632399
Pubmed ID
Authors

Criselle D'Souza, H. Miles Prince, Paul J. Neeson

Abstract

Immunomodulatory drugs (IMiDs) are effective treatments for patients with multiple myeloma. IMiDs have pleotropic effects including targeting the myeloma cells directly, and improving the anti-myeloma immune response. In the absence of myeloma cells, lenalidomide and pomalidomide induce CD4+ T cell secretion of IL-2 and indirect activation of Natural Killer (NK) cells. In the context of T cell receptor ligation, IMiDs enhance T cell proliferation, cytokine release and Th1 responses, both in vivo and in vitro. Furthermore, combination treatment of IMiDs and myeloma-targeting monoclonal antibodies eg. daratumumab (anti-CD38) and elotuzumab (anti-SLAMF7), checkpoint inhibitors, or bispecific T cell engagers showed synergistic effects, mainly via enhanced T and NK cell dependent cellular toxicity and T cell proliferation. Conversely, the corticosteroid dexamethasone can impair the immune modulatory effects of IMiDs, indicating that careful choice of myeloma drugs in combination with IMiDs is key for the best anti-myeloma therapeutic efficacy. This review presents an overview of the role for T cells in the overall anti-myeloma effects of immunomodulatory drugs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Ph. D. Student 5 11%
Other 3 7%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 4 9%
Unknown 21 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 13%
Medicine and Dentistry 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Immunology and Microbiology 4 9%
Business, Management and Accounting 3 7%
Other 2 4%
Unknown 21 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 March 2021.
All research outputs
#17,406,906
of 26,314,361 outputs
Outputs from Frontiers in immunology
#19,120
of 32,941 outputs
Outputs of similar age
#275,259
of 457,789 outputs
Outputs of similar age from Frontiers in immunology
#813
of 1,320 outputs
Altmetric has tracked 26,314,361 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,941 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 36th percentile – i.e., 36% 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 457,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,320 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.