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Multicenter Study
. 2015 Oct 13;6(31):32205-11.
doi: 10.18632/oncotarget.4980.

A single nucleotide polymorphism in ADIPOQ predicts biochemical recurrence after radical prostatectomy in localized prostate cancer

Affiliations
Multicenter Study

A single nucleotide polymorphism in ADIPOQ predicts biochemical recurrence after radical prostatectomy in localized prostate cancer

Chengyuan Gu et al. Oncotarget. .

Abstract

Adiponectin has been implicated in prostate cancer (PCa) aggressiveness. However, the role of genetic variations in the adiponectin (ADIPOQ) gene in PCa progression remains unknown. To determine whether genetic variants in ADIPOQ are associated with the risk of biochemical recurrence (BCR) after radical prostatectomy (RP). We evaluated three common ADIPOQ polymorphisms in 728 men with clinically localized PCa who underwent RP. Multivariable Cox proportional hazards models and Kaplan-Meier analysis were used to assess their prognostic significance on BCR. The plasma adiponectin concentrations were measured by enzyme-linked immunosorbent assay. ADIPOQ rs182052 variant allele was associated with both increased risk of BCR [HR: 2.44; 95% confidence interval (CI): 1.57-;3.79, P = 6×10-5] and decreased adiponectin level (β = -0.048, P = 0.004). Stratified analyses demonstrated that the association was more pronounced in men with higher visceral adipose tissue. Our data support that the ADIPOQ rs182052 SNP may be a predictive biomarker for BCR after RP by a possible mechanism of altering the adiponectin level. If validated, genetic predictors of outcome may help individualizing treatment for PCa.

Keywords: Clinical Section; adiponectin; biochemical recurrence; prostate cancer; radical prostatectomy; single-nucleotide polymorphism.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Kaplan-Meier survival curves for BCR-free survival according to ADIPOQ rs182052 by recessive model in (a) Study 1, (b) Study 2 and (c) combined analysis

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