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
* Auteur correspondant
1 Department of Mathematics and Statistic
2 Laboratory of Genetics, Immunology and Human Pathology
3 Institut Pasteur de Tunis
4 Charles Nicole Hospital
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
Type de document :
Article dans une revue
Journal of Cancer Research and Clinical Oncology, Springer Verlag, 2010, 136 (7), pp.1111 - 1116. 〈10.1007/s00432-009-0758-2〉
Liste complète des métadonnées
https://hal-riip.archives-ouvertes.fr/pasteur-01375312
Contributeur : Institut Pasteur Tunis <>
Soumis le : lundi 3 octobre 2016 - 02:34:27
Dernière modification le : lundi 8 octobre 2018 - 17:44:08

Lien texte intégral

istex

Identifiants

Collections

RIIP | RIIP_TUNIS

Citation

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〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

61

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD