The impact of smoking and polymorphic enzymes of xenobiotic metabolism on the stage of bladder tumors: a generalized ordered logistic regression analysis

Sami Khedhiri 1, * Nejla Stambouli 2 Slah Ouerhani 3 Kamel Rouissi 2 Raja Marrakchi 2 Amel B. Gaaied 2 M. B. Slama 4
* Corresponding author
1 Department of Mathematics and Statistic
2 Laboratory of Genetics, Immunology and Human Pathology
3 Institut Pasteur de Tunis
4 Hôpital Charles Nicolle [Tunis]
Abstract : Cigarette smoking is the predominant risk factor for bladder cancer in males and females. The tobacco carcinogens are metabolized by various xenobiotic metabolizing enzymes such as N-acetyltransferases (NAT) and glutathione S-transferases (GST). Polymorphisms in NAT and GST genes alter the ability of these enzymes to metabolize carcinogens. In this paper, we conduct a statistical analysis based on logistic regressions to assess the impact of smoking and metabolizing enzyme genotypes on the risk to develop bladder cancer using a case-control study from Tunisia. We also use the generalized ordered logistic model to investigate whether these factors do have an impact on the progression of bladder tumors.
Keywords : Xenobiotic metabolism Bladder cancer Smoking
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Journal articles
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Submitted on : Monday, October 3, 2016 - 2:34:27 AM
Last modification on : Tuesday, April 23, 2019 - 3:08:11 PM

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Sami Khedhiri, Nejla Stambouli, Slah Ouerhani, Kamel Rouissi, Raja Marrakchi, et al.. The impact of smoking and polymorphic enzymes of xenobiotic metabolism on the stage of bladder tumors: a generalized ordered logistic regression analysis. Journal of Cancer Research and Clinical Oncology, Springer Verlag, 2010, 136 (7), pp.1111 - 1116. ⟨10.1007/s00432-009-0758-2⟩. ⟨pasteur-01375312⟩

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