Title |
Risks on N-acetyltransferase 2 and bladder cancer: a meta-analysis
|
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Published in |
OncoTargets and therapy, December 2015
|
DOI | 10.2147/ott.s82927 |
Pubmed ID | |
Authors |
Zongheng Zhu, Jinshan Zhang, Wei Jiang, Xianjue Zhang, Youkong Li, Xiaoming Xu |
Abstract |
It is known that bladder cancer disease is closely related to aromatic amine compounds, which could cause cancer by regulating of N-acetylation and N-acetyltransferase 1 and 2 (NAT1 and NAT2). The NAT2 slowed acetylation and would increase the risk of bladder cancer, with tobacco smoke being regarded as a risk factor for this increased risk. However, the relationship between NAT2 slow acetylation and bladder cancer is still debatable at present. This study aims to explore preliminarily correlation of NAT2 slow acetylation and the risk of bladder cancer. The articles were searched from PubMed, Cochran, McGrane English databases, CBM, CNKI, and other databases. The extraction of bladder cancer patients and a control group related with the NAT2 gene were detected by the state, and the referenced articles and publications were also used for data retrieval. Using a random effects model, the model assumes that the studies included in the analysis cases belong to the overall population in the study of random sampling, and considering the variables within and between studies. Data were analyzed using STATA Version 6.0 software, using the META module. According to the inclusion and exclusion criteria of the literature study, 20 independent studies are included in this meta-analysis. The results showed that the individual differences of bladder cancer susceptibility might be part of the metabolism of carcinogens. Slow acetylation status of bladder cancer associated with the pooled odds ratio was 1.31 (95% confidence interval: 1.11-1.55). The status of NAT2 slow N-acetylation is associated with bladder cancer risks, and may increase the risk of bladder cancer. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 35% |
Student > Bachelor | 3 | 18% |
Student > Postgraduate | 2 | 12% |
Lecturer | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 24% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 2 | 12% |
Mathematics | 1 | 6% |
Sports and Recreations | 1 | 6% |
Materials Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 29% |