1. AURKA Phe31Ile polymorphism interacted with use of alcohol, betel quid, and cigarettes at multiplicative risk of oral cancer occurrence.
- Author
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Lee, Chi-Pin, Chiang, Shang-Lun, Lee, Chien-Hung, Tsai, Yi-Shan, Wang, Zhi-Hong, Hua, Chun-Hung, Chen, Yuan-Chien, Tsai, Eing-Mei, and Ko, Ying-Chin
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GENETIC polymorphisms ,ALCOHOL drinking ,BETEL chewing ,SMOKING ,ORAL cancer risk factors ,DNA repair ,GENE expression - Abstract
Objectives: The expression levels of two DNA repair genes ( CHAF1A and CHAF1B) and a chromosome segregation gene ( AURKA) were susceptible to arecoline exposure, a major alkaloid of areca nut. We hypothesize that genetic variants of these genes might also be implicated in the risk of oral cancer and could be modified by substance use of betel quid or alcohol and cigarettes. Material and methods: A case-control study, which included 507 patients with oral cancer and 717 matched controls, was performed in order to evaluate the cancer susceptibility by the tagging single-nucleotide polymorphisms (tagSNPs) in AURKA, CHAF1A, and CHAF1B using a genotyping assay and gene-environment interaction analysis. Results: The Phe31Ile polymorphism (rs2273535, T91A) of AURKA was significantly associated with an increased risk of oral cancer (odds ratio (OR) = 2.1, 95 % confidence interval (CI) 1.2-3.5). The gene dosage of the 91A allele also showed a significant trend in risk of oral cancer ( P = 0.008). Furthermore, we found the AURKA 91AA homozygote was modifiable by substance use of alcohol, betel quid, and cigarettes (ABC), leading to increased risk of oral cancer in an additive or a multiplicative model (combined effect indexes = 1.2-4.0 and 1.5-2.2, respectively). However, no association was observed between the genetic variants of CHAF1A or CHAF1B and oral cancer risk in the study. Conclusion: These findings reveal the functional Phe31Ile polymorphism tagSNP of AURKA may be a strong susceptibility gene in ABC-related oral cancer occurrence. Clinical relevance: The results of this betel-related oral cancer study provide the evidence of environment-gene interaction for early prediction and molecular diagnosis. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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