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Small-Molecule Immune Checkpoint Inhibitors Targeting PD-1/PD-L1 and Other Emerging Checkpoint Pathways

Overview of attention for article published in BioDrugs, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 672)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
10 patents

Citations

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76 Dimensions

Readers on

mendeley
85 Mendeley
Title
Small-Molecule Immune Checkpoint Inhibitors Targeting PD-1/PD-L1 and Other Emerging Checkpoint Pathways
Published in
BioDrugs, August 2018
DOI 10.1007/s40259-018-0303-4
Pubmed ID
Authors

Pottayil G. Sasikumar, Murali Ramachandra

Abstract

Advances in harnessing the immune system for cancer treatment have been spectacular in recent years as witnessed by the approval of a number of antibodies targeting the PD-1/PD-L1 immune checkpoint pathway spanning an expanding list of indications. However, it is well recognized that while these antibodies show impressive clinical activity, they suffer from shortcomings including the failure to show response in a majority of patients, their need to be administered by intravenous injection, and immune-related adverse events due to the breaking of immune self-tolerance. Small-molecule-based therapeutic approaches offer the potential to address the shortcomings of these antibody-based checkpoint inhibitors. In the first part of this review, we discuss the rationale for small-molecule-based checkpoint therapy followed by efforts on the discovery of small-molecule-based approaches targeting the PD-1/PD-L1 axis and other immune checkpoint pathways. In the latter part of the article, we describe small-molecule inhibitors simultaneously targeting two non-redundant checkpoint inhibitor pathways as an approach to improve the response rate. A brief review of the progress of an oral small-molecule checkpoint inhibitor currently in clinical development is presented at the end.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 16%
Student > Ph. D. Student 12 14%
Researcher 11 13%
Student > Master 8 9%
Student > Doctoral Student 6 7%
Other 10 12%
Unknown 24 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 27%
Chemistry 13 15%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Medicine and Dentistry 5 6%
Immunology and Microbiology 3 4%
Other 10 12%
Unknown 25 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 05 December 2023.
All research outputs
#2,034,421
of 23,394,907 outputs
Outputs from BioDrugs
#40
of 672 outputs
Outputs of similar age
#44,017
of 335,514 outputs
Outputs of similar age from BioDrugs
#3
of 15 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 94% 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 335,514 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 86% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.