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Involvement of Up-Regulation of DR5 Expression and Down-Regulation of c-FLIP in Niclosamide-Mediated TRAIL Sensitization in Human Renal Carcinoma Caki Cells

Overview of attention for article published in Molecules, September 2018
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Title
Involvement of Up-Regulation of DR5 Expression and Down-Regulation of c-FLIP in Niclosamide-Mediated TRAIL Sensitization in Human Renal Carcinoma Caki Cells
Published in
Molecules, September 2018
DOI 10.3390/molecules23092264
Pubmed ID
Authors

Jeong Mi Yun, Seon Min Woo, Seung Un Seo, Kyoung-Jin Min, Dong Eun Kim, Taeg Kyu Kwon

Abstract

Niclosamide is used to treat intestinal parasite infections, as being an anthelmintic drug. Recently, several papers suggest the niclosamide inhibits multiple signaling pathways, which are highly activated and mutated in cancer. Here, niclosamide was evaluated for identifying strategies to overcome tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) resistance. Although niclosamide (100⁻200 nM) alone did not bring about cell death, combinations of niclosamide and TRAIL led to apoptotic cell death in carcinoma cells, but not in normal cells. Niclosamide markedly increased DR5 protein levels, including cell-surface DR5, and decreased c-FLIP protein levels. Down-regulation of DR5 by specific small interfering RNA (siRNA) and ectopic expression of c-FLIP markedly blocked niclosamide plus TRAIL-induced apoptosis. Our findings provide that niclosamide could overcome resistance to TRAIL through up-regulating DR5 on the cell surface and down-regulating c-FLIP in cancer cells. Taken together, niclosamide may be an attractive candidate to overcome TRAIL resistance.

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The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 11%
Student > Bachelor 1 11%
Professor 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Medicine and Dentistry 2 22%
Immunology and Microbiology 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 3 33%
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 05 September 2018.
All research outputs
#20,838,437
of 25,604,262 outputs
Outputs from Molecules
#15,432
of 23,957 outputs
Outputs of similar age
#269,341
of 345,963 outputs
Outputs of similar age from Molecules
#321
of 550 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 550 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.