N-acetyltransferase 2 Polymorphisms and Risk of Esophageal Cancer in a Chinese Population

N-acetyltransferase 2 Polymorphisms and Risk of Esophageal Cancer in a Chinese Population
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N-乙酰转移酶2多态性与中国人群食管癌风险

DOI:
10.1371/journal.pone.0087783
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发表时间:
2014-02-19
期刊:
影响因子:
3.7
通讯作者:
Gu, Haiyong
Gu, Haiyong
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wang, Liming;Tang, Weifeng;Gu, Haiyong

文献摘要

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食管癌是2009年中国第五大常见癌症,也是第四大癌症相关死亡原因。遗传因素可能在食管鳞状细胞癌(ESCC)的发生过程中起重要作用。我们进行了一项基于医院的病例对照研究,以评估10个NAT2标记单核苷酸多态性(snp)对ESCC风险的影响。629例ESCC病例和686例对照。采用结扎检测反应法测定其基因型。在单位点分析中,病例与对照组NAT2 rs1565684 T b> C SNP基因型频率差异有统计学意义(p = 0.057)。NAT2 rs1565684 CC基因型与ESCC的临界风险显著增加相关(CC与TT:校正OR = 1.77, 95% CI = 0.97-3.21, p = 0.063; CC与TT/TC:校正OR = 1.68, 95% CI = 0.93-3.04, p = 0.085)。这种关联在老年患者和从不饮酒的患者中尤为明显。经Bonferroni校正后,在所有比较模型中,NAT2 rs1565684 tb> C SNP与ESCC风险无相关性(p b> 0.05)。对于其他9个NAT2 snp,经Bonferroni校正后,在所有比较模型中,9个snp也与ESCC风险无关(p < 0.05)。因此,9个NAT2标记snp与ESCC风险无关。NAT2 rs1565684 tb> C SNP可能在ESCC病因学中起轻微作用。另外,需要更大规模的研究和组织特异性生物学特性来证实目前的发现。
Esophageal cancer was the fifth most commonly diagnosed cancer and the fourth leading cause of cancer-related death in China in 2009. Genetic factors might play an important role in the carcinogenesis of esophageal squamous cell carcinoma (ESCC). We conducted a hospital-based case-control study to evaluate ten NAT2 tagging single nucleotide polymorphisms (SNPs) on the risk of ESCC. Six hundred and twenty-nine ESCC cases and 686 controls were recruited. Their genotypes were determined using the ligation detection reaction method. In the single locus analyses, there was a borderline statistically significant difference in genotype frequencies of NAT2 rs1565684 T>C SNP between the cases and the controls (p = 0.057). The NAT2 rs1565684 CC genotype was associated with a borderline significantly increased risk for ESCC (CC vs. TT: adjusted OR = 1.77, 95% CI = 0.97–3.21, p = 0.063 and CC vs. TT/TC: adjusted OR = 1.68, 95% CI = 0.93–3.04, p = 0.085). The association was evident among older patients and patients who never drunk. After the Bonferroni correction, in all comparison models, NAT2 rs1565684 T>C SNP was not associated with ESCC risk (p>0.05). For the other nine NAT2 SNPs, after Bonferroni correction, in all comparison models, the nine SNPs were also not associated with ESCC risk (p>0.05). Thus, nine NAT2 tagging SNPs were not associated with risk of ESCC. NAT2 rs1565684 T>C SNP might play a slight role in ESCC etiology. Additional, larger studies and tissue-specific biological characterization are required to confirm the current findings.