Association between polymorphisms at N-acetyltransferase 1 (NAT1) & risk of oral leukoplakia & cancer

BACKGROUND & OBJECTIVES: N-acetyltransferases 1 and 2 (NAT1 and NAT2) are important enzymes for metabolism of tobacco carcinogens. Due to polymorphisms, improper activities of these enzymes might lead to the formation of DNA adducts that may modulate risk of tobacco related oral precancer and cancer. Previously, it was shown that NAT2 polymorphisms did not modulate the risk of oral precancer and cancer. We undertook this study to check whether polymorphisms at NAT1 can modulate the risk of oral leukoplakia and cancer either alone or in combination with NAT2. METHODS: Genotypes at four SNPs on NAT1 were determined by TaqMan method in 389 controls, 224 leukoplakia and 310 cancer patients. Genotype data were analyzed to know haplotypes and acetylation status of individuals and, then to estimate the risk of diseases. Using our previously published NAT2 data, combination of NAT1 and NAT2 acetylation genotypes of patients and controls were also analyzed to estimate the risk of diseases. RESULTS: Analysis of NAT1 genotype data revealed that 1088T and 1095C alleles exist in strong linkage disequilibrium (r(2)=0.97, P<0.0001) and SNPs are in Hardy-Weinberg Equilibrium (P=0.1). Wild type or normal acetylating and variant or rapid acetylating alleles were two major alleles (frequencies 0.62 and 0.36, respectively) present in the control population. NAT1 rapid acetylation could not modulate the risk of leukoplakia and cancer (OR=0.9, 95% CI: 0.6-1.3; OR=1.0, 95% CI: 0.7-1.4, respectively). Analysis of combined NAT1 and NAT2 acetylating data also showed no significant enhancement of the risk of diseases. INTERPRETATION & CONCLUSIONS: NAT1 rapid acetylation alone as well as combination of NAT1 rapid-NAT2 slow acetylation did not modulate the risk of oral precancer and cancer in our patient population. So, NAT1/NAT2 metabolized carcinogen products may not be involved in tobacco related oral precancer and cancer. It may be interpreted that large sample size as well as combination of polymorphisms at other candidate loci may be important to estimate the risk of a complex disease like oral cancer.