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Alcohol-abuse drug disulfiram targets cancer via p97 segregase adaptor NPL4

Overview of attention for article published in Nature, December 2017
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Citations

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548 Dimensions

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359 Mendeley
Title
Alcohol-abuse drug disulfiram targets cancer via p97 segregase adaptor NPL4
Published in
Nature, December 2017
DOI 10.1038/nature25016
Pubmed ID
Authors

Zdenek Skrott, Martin Mistrik, Klaus Kaae Andersen, Søren Friis, Dusana Majera, Jan Gursky, Tomas Ozdian, Jirina Bartkova, Zsofia Turi, Pavel Moudry, Marianne Kraus, Martina Michalova, Jana Vaclavkova, Petr Dzubak, Ivo Vrobel, Pavla Pouckova, Jindrich Sedlacek, Andrea Miklovicova, Anne Kutt, Jing Li, Jana Mattova, Christoph Driessen, Q. Ping Dou, Jørgen Olsen, Marian Hajduch, Boris Cvek, Raymond J. Deshaies, Jiri Bartek

Abstract

Cancer incidence is rising and this global challenge is further exacerbated by tumour resistance to available medicines. A promising approach to meet the need for improved cancer treatment is drug repurposing. Here we highlight the potential for repurposing disulfiram (also known by the trade name Antabuse), an old alcohol-aversion drug that has been shown to be effective against diverse cancer types in preclinical studies. Our nationwide epidemiological study reveals that patients who continuously used disulfiram have a lower risk of death from cancer compared to those who stopped using the drug at their diagnosis. Moreover, we identify the ditiocarb-copper complex as the metabolite of disulfiram that is responsible for its anti-cancer effects, and provide methods to detect preferential accumulation of the complex in tumours and candidate biomarkers to analyse its effect on cells and tissues. Finally, our functional and biophysical analyses reveal the molecular target of disulfiram's tumour-suppressing effects as NPL4, an adaptor of p97 (also known as VCP) segregase, which is essential for the turnover of proteins involved in multiple regulatory and stress-response pathways in cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 287 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 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 359 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 20%
Researcher 57 16%
Student > Master 29 8%
Student > Bachelor 29 8%
Student > Doctoral Student 17 5%
Other 62 17%
Unknown 94 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 83 23%
Medicine and Dentistry 42 12%
Agricultural and Biological Sciences 40 11%
Chemistry 29 8%
Pharmacology, Toxicology and Pharmaceutical Science 14 4%
Other 40 11%
Unknown 111 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 403. 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 17 August 2023.
All research outputs
#75,886
of 25,848,962 outputs
Outputs from Nature
#5,595
of 98,923 outputs
Outputs of similar age
#1,684
of 448,987 outputs
Outputs of similar age from Nature
#92
of 875 outputs
Altmetric has tracked 25,848,962 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.8. 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 448,987 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 99% of its contemporaries.
We're also able to compare this research output to 875 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.