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Functional analysis of androgen receptor mutations that confer anti-androgen resistance identified in circulating cell-free DNA from prostate cancer patients

Overview of attention for article published in Genome Biology, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

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4 X users
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7 patents

Citations

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165 Dimensions

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180 Mendeley
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1 CiteULike
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Title
Functional analysis of androgen receptor mutations that confer anti-androgen resistance identified in circulating cell-free DNA from prostate cancer patients
Published in
Genome Biology, January 2016
DOI 10.1186/s13059-015-0864-1
Pubmed ID
Authors

Nada Lallous, Stanislav V. Volik, Shannon Awrey, Eric Leblanc, Ronnie Tse, Josef Murillo, Kriti Singh, Arun A. Azad, Alexander W. Wyatt, Stephane LeBihan, Kim N. Chi, Martin E. Gleave, Paul S. Rennie, Colin C. Collins, Artem Cherkasov

Abstract

The androgen receptor (AR) is a pivotal drug target for the treatment of prostate cancer, including its lethal castration-resistant (CRPC) form. All current non-steroidal AR antagonists, such as hydroxyflutamide, bicalutamide, and enzalutamide, target the androgen binding site of the receptor, competing with endogenous androgenic steroids. Several AR mutations in this binding site have been associated with poor prognosis and resistance to conventional prostate cancer drugs. In order to develop an effective CRPC therapy, it is crucial to understand the effects of these mutations on the functionality of the AR and its ability to interact with endogenous steroids and conventional AR inhibitors. We previously utilized circulating cell-free DNA (cfDNA) sequencing technology to examine the AR gene for the presence of mutations in CRPC patients. By modifying our sequencing and data analysis approaches, we identify four additional single AR mutations and five mutation combinations associated with CRPC. Importantly, we conduct experimental functionalization of all the AR mutations identified by the current and previous cfDNA sequencing to reveal novel gain-of-function scenarios. Finally, we evaluate the effect of a novel class of AR inhibitors targeting the binding function 3 (BF3) site on the activity of CRPC-associated AR mutants. This work demonstrates the feasibility of a prognostic and/or diagnostic platform combining the direct identification of AR mutants from patients' serum, and the functional characterization of these mutants in order to provide personalized recommendations regarding the best future therapy.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 <1%
Ireland 1 <1%
Unknown 178 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 20%
Student > Ph. D. Student 33 18%
Student > Bachelor 17 9%
Other 13 7%
Student > Master 13 7%
Other 21 12%
Unknown 47 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 29%
Medicine and Dentistry 34 19%
Agricultural and Biological Sciences 24 13%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Chemistry 4 2%
Other 8 4%
Unknown 52 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 May 2023.
All research outputs
#3,798,611
of 25,373,627 outputs
Outputs from Genome Biology
#2,558
of 4,467 outputs
Outputs of similar age
#64,523
of 405,868 outputs
Outputs of similar age from Genome Biology
#50
of 63 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 42nd percentile – i.e., 42% 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 405,868 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 83% of its contemporaries.
We're also able to compare this research output to 63 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.