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Polymorphism of the CYP1A1*2A gene and susceptibility to lung cancer in a Brazilian population

Overview of attention for article published in Jornal de Pneumologia, September 2009
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Title
Polymorphism of the CYP1A1*2A gene and susceptibility to lung cancer in a Brazilian population
Published in
Jornal de Pneumologia, September 2009
DOI 10.1590/s1806-37132009000800008
Pubmed ID
Authors

Helen Naemi Honma, Eduardo Mello De Capitani, Aristóteles de Souza Barbeiro, Daniel Botelho Costa, André Morcillo, Lair Zambon

Abstract

To estimate and compare the frequency of CYP1A1*2A gene polymorphisms in a Brazilian population and determine the possible contribution of these genetic variations to lung cancer risk. The study population included 200 patients with lung cancer, and the control group consisted of 264 blood donors. Genomic DNA was obtained from peripheral blood samples. The PCR-RFLP method was used for analysis of the CYP1A1*2A gene. There was no statistically significant difference between the lung cancer patients and the controls in terms of the distribution of CYP1A1*2A polymorphisms (p = 0.49). A multivariate logistic regression model analysis by ethnic group revealed that, within the lung cancer group, the CYP1A1*2A genotype CC plus TC was more common among the African-Brazilian patients than among the White patients (adjusted OR = 3.19; 95% CI: 1.53-6.65). The CYP1A1*2A gene cannot be linked with lung cancer risk in Brazilian patients at this time. Larger epidemiologic studies are needed in order to establish whether the CC plus TC polymorphism increases the risk of lung cancer in African-Brazilians.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Researcher 2 25%
Student > Ph. D. Student 1 13%
Other 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Arts and Humanities 1 13%
Agricultural and Biological Sciences 1 13%
Chemistry 1 13%
Other 0 0%
Unknown 1 13%