Literature DB >> 24935599

Lack of association between CYP1A1 polymorphisms and risk of bladder cancer: a meta-analysis.

Yu Lu1, Xiao-Lian Zhang, Li Xie, Tai-Jie Li, Yu He, Qi-Liu Peng, Yan Deng, Jian Wang, Xue Qin, Shan Li.   

Abstract

BACKGROUND: The effects of CYP1A1 gene polymorphisms on the risk of bladder cancer (BC) remain controversial. We carried out a meta-analysis to clarify the role of CYP1A1 gene polymorphisms in BC.
MATERIAL AND METHODS: A comprehensive literature search was conducted up to November 20, 2013. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the strength of the association. Meta-regression, subgroup analysis, sensitivity analysis and publication bias were also performed.
RESULTS: Eight studies involving 1,059 BC cases and 1,061 controls were included. The meta-analysis showed that there was no significant association between the two common mutations of CYP1A1 and BC risk. For the I1e462Val A/G polymorphism with GG vs. AA the OR was 1.47 (95 % CI= 0.70-3.07, P =0.308). For the MspI T/C polymorphism, though a slight trend was found this was not statistically nonsignificant (CC vs.TT, OR = 1.24, 95 % CI= 0.98-1.58, P =0.078). Subgroup analyses by ethnicity also found no obvious association between CYP1A1 and BC risk.
CONCLUSION: The present meta-analysis suggests that CYP1A1 polymorphism is not associated with bladder cancer risk.

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Year:  2014        PMID: 24935599     DOI: 10.7314/apjcp.2014.15.9.4071

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Combined Genetic Biomarkers Confer Susceptibility to Risk of Urothelial Bladder Carcinoma in a Saudi Population.

Authors:  Nasser Attia Elhawary; Anmar Nassir; Hesham Saada; Anas Dannoun; Omar Qoqandi; Ammar Alsharif; Mohammed Taher Tayeb
Journal:  Dis Markers       Date:  2017-02-27       Impact factor: 3.434

2.  Detection of CYP1A1 and GSTP1 gene polymorphisms in bladder cancer patients in a Turkish population using a polymerase chain reaction-restriction fragment length polymorphism method.

Authors:  Adem Altunkol; Murat Savaş; Fuat Dilmeç; Mehmet Mazhar Utanğaç; Deniz Abat; Kemal Gümüş; İsmail Karlıdağ; Ercan Yeni
Journal:  Turk J Urol       Date:  2018-03-01
  2 in total

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