Genetic testing and molecular biomarkers · 2013
Association of XPC gene polymorphisms with susceptibility to prostate cancer: evidence from 3,936 subjects.
СтатьяМетаанализПоддержка исследования: вне правительства СШАОбзорНазвание и аннотация: Перевод в очереди
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Zou Yan-Feng, Tao Jin-Hui, Ye Qian-Ling, Pan Hai-Feng, Pan Fa-Ming, Su Hong, Ye Dong-Qing
Аннотация
AIM: Polymorphisms of xeroderma pigmentosum complementation group C (XPC) are thought to have significant effects on prostate cancer (PCa) risk. The aim of our study was to evaluate the impact of XPC gene polymorphisms on PCa risk by using a meta-analysis.
METHODS: Data were collected from the following electronic databases: PubMed, EMBASE, Elsevier Science Direct, Cochrane Library, and CNKI, with the last report up to April 30, 2013. Odds ratios with 95% confidence intervals were used to assess the strength of the association.
RESULTS: A total of five separate case-control studies (1966 cases and 1970 controls) were included in this meta-analysis. Meta-analysis was performed for the rs2228001 and PAT+/-polymorphisms. We did not detect a significant association between rs2228001 polymorphism and PCa (p>0.05). Similar results were found in stratification analyses by ethnicity and tumor stage. We detected a significant association of PAT+/-polymorphism with PCa (p<0.05). In stratification analysis, we did not detect a significant association of PAT+/-polymorphism with risk of bone metastasis in PCa patients (p>0.05).
CONCLUSION: These analyses suggest that XPC gene PAT+/-polymorphism, but not rs2228001, likely contributes to susceptibility to PCa.
METHODS: Data were collected from the following electronic databases: PubMed, EMBASE, Elsevier Science Direct, Cochrane Library, and CNKI, with the last report up to April 30, 2013. Odds ratios with 95% confidence intervals were used to assess the strength of the association.
RESULTS: A total of five separate case-control studies (1966 cases and 1970 controls) were included in this meta-analysis. Meta-analysis was performed for the rs2228001 and PAT+/-polymorphisms. We did not detect a significant association between rs2228001 polymorphism and PCa (p>0.05). Similar results were found in stratification analyses by ethnicity and tumor stage. We detected a significant association of PAT+/-polymorphism with PCa (p<0.05). In stratification analysis, we did not detect a significant association of PAT+/-polymorphism with risk of bone metastasis in PCa patients (p>0.05).
CONCLUSION: These analyses suggest that XPC gene PAT+/-polymorphism, but not rs2228001, likely contributes to susceptibility to PCa.