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Effects of Xeroderma pigmentosum group C polymorphism on the likelihood of prostate cancer.


ABSTRACT: BACKGROUND:Numerous studies have assessed the association between xeroderma pigmentosum complementation group C (XPC) polymorphisms and susceptibility of prostate cancer (PCa); however, the findings remain inconsistent. METHODS:We performed an updated analysis utilizing data from electronic databases to obtain a more accurate estimation of the relationship between XPC rs2228001 A/C polymorphism and PCa risk. We further used in silico tools to investigate this correlation. RESULTS:Totally, 5,305 PCa cases and 6,499 control subjects were evaluated. When all studies pooled together, we detected no positive result (recessive genetic model: OR = 1.14, 95% CI = 0.93-1.40, Pheterogeneity  = 0.001, P = .212); nevertheless, the XPC rs2228001 A/C variant was associated with PCa risk in Asian descendants in the subgroup analysis (OR = 1.21, 95% CI = 1.01-1.43, Pheterogeneity  = 0.008, P = .034). In silico tools showed that more than 20 proteins can participate in the protein crosstalk with XPC. The expression of XPC was down-regulated in all Gleason scores of prostate cancer. CONCLUSIONS:The present study indicated that the XPC rs2228001 A/C variant may be associated with elevated PCa risk in Asian patients.

SUBMITTER: Yan Y 

PROVIDER: S-EPMC7521337 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Effects of Xeroderma pigmentosum group C polymorphism on the likelihood of prostate cancer.

Yan Yidan Y   Xu Jianmin J   Xu Bin B   Wen Qiaxian Q   Zhou Jing J   Zhang Lifeng L   Zuo Li L   Lv Guoqiang G   Shi Yunfeng Y  

Journal of clinical laboratory analysis 20200602 9


<h4>Background</h4>Numerous studies have assessed the association between xeroderma pigmentosum complementation group C (XPC) polymorphisms and susceptibility of prostate cancer (PCa); however, the findings remain inconsistent.<h4>Methods</h4>We performed an updated analysis utilizing data from electronic databases to obtain a more accurate estimation of the relationship between XPC rs2228001 A/C polymorphism and PCa risk. We further used in silico tools to investigate this correlation.<h4>Resul  ...[more]

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