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Molecular Markers in Sex Hormone Pathway Genes Associated with the Efficacy of Androgen-Deprivation Therapy for Prostate Cancer

Overview of attention for article published in PLOS ONE, January 2013
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Title
Molecular Markers in Sex Hormone Pathway Genes Associated with the Efficacy of Androgen-Deprivation Therapy for Prostate Cancer
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054627
Pubmed ID
Authors

Chia-Cheng Yu, Shu-Pin Huang, Yung-Chin Lee, Chao-Yuan Huang, Chia-Chu Liu, Tzyh-Chyuan Hour, Chun-Nung Huang, Bang-Jau You, Ta-Yuan Chang, Chun-Hsiung Huang, Bo-Ying Bao

Abstract

Although most advanced prostate cancer patients respond to androgen-deprivation therapy (ADT), the efficacy is widely variable. We investigated whether the host genetic variations in sex hormone pathway genes are associated with the efficacy of ADT. A cohort of 645 patients with advanced prostate cancer treated with ADT was genotyped for 18 polymorphisms across 12 key genes involved in androgen and estrogen metabolism. We found that after adjusting for known risk factors in multivariate Cox regression models, AKR1C3 rs12529 and AR-CAG repeat length remained significantly associated with prostate cancer-specific mortality (PCSM) after ADT (P ≤ 0.041). Furthermore, individuals carrying two unfavorable genotypes at these loci presented a 13.7-fold increased risk of PCSM compared with individuals carrying zero (P<0.001). Our results identify two candidate molecular markers in key genes of androgen and estrogen pathways associated with PCSM after ADT, establishing the role of pharmacogenomics in this therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Lithuania 1 7%
Portugal 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Bachelor 3 21%
Professor > Associate Professor 2 14%
Professor 1 7%
Other 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Pharmacology, Toxicology and Pharmaceutical Science 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Environmental Science 1 7%
Computer Science 1 7%
Other 1 7%
Unknown 4 29%
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 26 January 2013.
All research outputs
#17,676,164
of 22,693,205 outputs
Outputs from PLOS ONE
#146,416
of 193,724 outputs
Outputs of similar age
#209,219
of 280,564 outputs
Outputs of similar age from PLOS ONE
#3,503
of 5,005 outputs
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