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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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Publications

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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