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Polymorphisms in the mTOR gene and risk of sporadic prostate cancer in an Eastern Chinese population.

dc.contributor.author Wei, Qingyi
dc.contributor.author Li, Qiaoxin
dc.contributor.author Gu, Chengyuan
dc.contributor.author Zhu, Yao
dc.contributor.author Wang, Mengyun
dc.contributor.author Yang, Yajun
dc.contributor.author Wang, Jiucun
dc.contributor.author Jin, Li
dc.contributor.author Zhu, Mei-Ling
dc.contributor.author Shi, Ting-Yan
dc.contributor.author He, Jing
dc.contributor.author Zhou, Xiaoyan
dc.contributor.author Ye, Ding-wei
dc.date.accessioned 2019-02-01T15:14:25Z
dc.date.available 2019-02-01T15:14:25Z
dc.date.issued 2013-01
dc.identifier PONE-D-13-23588
dc.identifier.issn 1932-6203
dc.identifier.issn 1932-6203
dc.identifier.uri https://hdl.handle.net/10161/17993
dc.description.abstract BACKGROUND: The mTOR gene regulates cell growth by controlling mRNA translation, ribosome biogenesis, autophagy, and metabolism. Abnormally increased expression of mTOR was associated with carcinogenesis, and its functional single nucleotide polymorphisms (SNPs) may regulate the expression of mTOR and thus contribute to cancer risk. METHODOLOGY/PRINCIPAL FINDINGS: In a hospital-based case-control study of 1004 prostate cancer (PCa) cases and 1051 cancer-free controls, we genotyped six potentially functional SNPs of mTOR (rs2536 T>C, rs1883965 G>A, rs1034528 G>C, rs17036508 T>C, rs3806317 A>G, and rs2295080 T>G) and assessed their associations with risk of PCa by using logistic regression analysis. CONCLUSIONS/SIGNIFICANCES: In the single-locus analysis, we found a significantly increased risk of PCa associated with mTOR rs2536 CT/CC and rs1034528 CG/CC genotypes [adjusted OR = 1.42 (1.13-1.78), P = 0.003 and 1.29 (1.07-1.55), P = 0.007), respectively], compared with their common homozygous genotypes, whereas mTOR rs2295080 GT/GG genotypes were associated with a decreased risk of PCa [adjusted OR = 0.76 (0.64-0.92), P = 0.003], compared with wild-type TT genotypes. In the combined analysis of the six SNPs, we found that individuals carrying two or more adverse genotypes had an increased risk of PCa [adjusted OR = 1.24 (1.04-1.47), P = 0.016], compared with individuals carrying less than two adverse genotypes. In the multiple dimension reduction analysis, body mass index (BMI) was the best one-factor model with the highest CVC (100%) and the lowest prediction error (42.7%) among all seven factors. The model including an interaction among BMI, rs17036508, and rs2536 was the best three-factor model with the highest CVC (100%) and the lowest prediction error of 41.9%. These findings suggested that mTOR SNPs may contribute to the risk of PCa in Eastern Chinese men, but the effect was weak and needs further validation by larger population-based studies.
dc.language eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PloS one
dc.relation.isversionof 10.1371/journal.pone.0071968
dc.subject Humans
dc.subject Prostatic Neoplasms
dc.subject Genetic Predisposition to Disease
dc.subject Risk
dc.subject Case-Control Studies
dc.subject Gene Frequency
dc.subject Polymorphism, Single Nucleotide
dc.subject Aged
dc.subject Middle Aged
dc.subject Asian Continental Ancestry Group
dc.subject China
dc.subject Male
dc.subject TOR Serine-Threonine Kinases
dc.title Polymorphisms in the mTOR gene and risk of sporadic prostate cancer in an Eastern Chinese population.
dc.type Journal article
dc.date.updated 2019-02-01T15:14:24Z
pubs.begin-page e71968
pubs.issue 8
pubs.organisational-group School of Medicine
pubs.organisational-group Duke
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Institutes and Centers
pubs.organisational-group Population Health Sciences
pubs.organisational-group Basic Science Departments
pubs.organisational-group Medicine, Medical Oncology
pubs.organisational-group Medicine
pubs.organisational-group Clinical Science Departments
pubs.publication-status Published
pubs.volume 8
duke.contributor.orcid Wei, Qingyi|0000-0002-3845-9445


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