Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A genetic variant in SLC28A3, rs56350726, is associated with progression to castration-resistant prostate cancer in a Korean population with metastatic prostate canceropen access

Authors
Jo, Jung KuOh, Jong JinKim, Yong TaeMoon, Hong SangChoi, Hong YongPark, SeunghyunHo, Jin-NyoungYoon, SungrohPark, Hae YoungByun, Seok-Soo
Issue Date
Nov-2017
Publisher
IMPACT JOURNALS LLC
Keywords
metastasis; prostate cancer; castration; genetic variation
Citation
ONCOTARGET, v.8, no.57, pp.96893 - 96902
Indexed
SCIE
SCOPUS
Journal Title
ONCOTARGET
Volume
8
Number
57
Start Page
96893
End Page
96902
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151388
DOI
10.18632/oncotarget.18298
ISSN
1949-2553
Abstract
Background: Genetic variation which related with progression to castration-resistant prostate cancer (CRPC) during androgen-deprivation therapy (ADT) has not been elucidated in patients with metastatic prostate cancer (mPCa). Therefore, we assessed the association between genetic variats in mPCa and progession to CRPC. Results: Analysis of exome genotypes revealed that 42 SNPs were significantly associated with mPCa. The top five polymorphisms were statistically significantly associated with metastatic disease. In addition, one of these SNPs, rs56350726, was significantly associated with time to CRPC in Kaplan-Meier analysis (Log-rank test, p = 0.011). In multivariable Cox regression, rs56350726 was strongly associated with progression to CRPC (HR = 4.172 95% CI = 1.223-14.239, p = 0.023). Materials and Methods: We assessed genetic variation among 1000 patients with PCa with or without metastasis, using 242,221 single nucleotide polymorphisms (SNPs) on the custom HumanExome BeadChip v1.0 (Illuminam Inc.). We analyzed the time to CRPC in 110 of the 1000 patients who were treated with ADT. Genetic data were analyzed using unconditional logistic regression and odds ratios calculated as estimates of relative risk of metastasis. We identified SNPs associated with metastasis and analyzed the relationship between these SNPs and time to CRPC in mPCa. Conclusions: Based on a genetic variation, the five top SNPs were observed to associate with mPCa. And one (SLC28A3, rs56350726) of five SNP was found the association with the progression to CRPC in patients with mPCa.
Files in This Item
Appears in
Collections
서울 의과대학 > 서울 비뇨의학교실 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Choi, Hong Yong photo

Choi, Hong Yong
서울 의과대학 (서울 비뇨의학교실)
Read more

Altmetrics

Total Views & Downloads

BROWSE