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Regulation of PD-L1: a novel role of pro-survival signalling in cancer

Overview of attention for article published in Annals of Oncology, December 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
16 X users
patent
3 patents
facebook
1 Facebook page

Citations

dimensions_citation
610 Dimensions

Readers on

mendeley
551 Mendeley
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Title
Regulation of PD-L1: a novel role of pro-survival signalling in cancer
Published in
Annals of Oncology, December 2015
DOI 10.1093/annonc/mdv615
Pubmed ID
Authors

J. Chen, C.C. Jiang, L. Jin, X.D. Zhang

Abstract

Evasion of immune system is a hallmark of cancer, which enables cancer cells to escape the attack from immune cells. Cancer cells can express many immune inhibitory signalling proteins to cause immune cell dysfunction and apoptosis. One of these inhibitory molecules is programmed death-ligand 1 (PD-L1), which binds to programmed death 1 (PD-1) expressed on T-cells, B-cells, dendritic cells and natural killer T-cells to suppress anti-cancer immunity. Therefore, anti-PD-L1 and anti-PD-1 antibodies have been used for the treatment of cancer, showing promising outcomes. However, only a proportion of patients respond to the treatments. Further understanding of the regulation of PD-L1 expression could be helpful for the improvement of anti-PD-L1 and PD-1 treatments. Studies have shown that PD-L1 expression is regulated by signalling pathways, transcriptional factors and epigenetic factors. In this review, we summarise the recent progress of the regulation of PD-L1 expression in cancer cells and propose a regulatory model for unified explanation. Both PI3K and MAPK pathways are involved in PD-L1 regulation but the downstream molecules that control PD-L1 and cell proliferation may differ. Transcriptional factors hypoxia-inducible factor-1α and signal transducer and activation of transcription 3 act on the promoter of PD-L1 to regulate its expression. In addition, microRNAs including miR-570, miR-513, miR-197, miR-34a and miR-200 negatively regulate PD-L1. Clinically, it could increase treatment efficacy of targeted therapy by choosing those molecules that control both PD-L1 expression and cell proliferation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 551 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Chile 1 <1%
Iran, Islamic Republic of 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 545 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 79 14%
Student > Ph. D. Student 77 14%
Student > Bachelor 71 13%
Student > Master 63 11%
Student > Postgraduate 45 8%
Other 85 15%
Unknown 131 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 141 26%
Medicine and Dentistry 116 21%
Agricultural and Biological Sciences 59 11%
Immunology and Microbiology 35 6%
Pharmacology, Toxicology and Pharmaceutical Science 12 2%
Other 39 7%
Unknown 149 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 January 2024.
All research outputs
#1,138,620
of 25,373,627 outputs
Outputs from Annals of Oncology
#529
of 7,854 outputs
Outputs of similar age
#18,441
of 380,084 outputs
Outputs of similar age from Annals of Oncology
#9
of 153 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 93% 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 380,084 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 95% of its contemporaries.
We're also able to compare this research output to 153 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 94% of its contemporaries.