[摘要] 目的: 探讨肺癌易感性与毛细血管扩张性共济失调突变基因(ATM) rs175048 位点单核苷酸多态性(SNP)之间的相关性。方法: 选取2015 年10 月至2016 年8 月在南华大学附属第一医院及衡阳市中医院就诊的汉族肺癌患者血液样本225 例(病例组)，同时收集在院体检的健康人血液样本128 例作为对照组。采用高保真聚合酶介导的单核苷酸多态性敏感性分子开关结合PCR技术检测肺癌患者与健康体检者ATM基因rs175048A/T多态位点的多态性，统计其基因型及等位基因频率，比较其在病例组与对照组的分布差异，并且分析其与肺癌临床病理特征的相关性。结果:ATM基因rs175048 多态位点的AA、AT、TT 3 种基因型的频率在病例组分别为24.9%、52.9%、22.2%，对照组为42.2%、42.2%、15.6%（均P<0.01）；病例组等位基因A、T 的频率为51.0%、49.0%，对照组为63.0%、37.0%（均P<0.01）；TT基因型可能会增加、而AT基因型可能减少肺癌发病风险。rs175048 单核苷酸多态位点与吸烟、年龄、性别和家族史等临床病理特征明显相关(均P<0.05)。结论:ATM基因rs175048 位点单核苷酸多态性与肺癌的发生明显相关，且TT基因型可以增加肺癌发病的风险。

[Abstract] Objective: To explore the association between the single nucleotide polymorphism (SNP) of rs175048 in ataxia telangiectasia mutated (ATM) gene and lung cancer susceptibility in Han population. Methods: A total of 225 cases of blood samples from lung cancer patients treated in Hospital of Traditional Chinese Medicine of Hengyang City and the Affiliated First Hospital of Nanhua University from October 2015 to August 2016 were collected as case group, and 128 cases of blood samples from healthy people were collected as the control. The polymorphisms of ATM rs175048 of above mentioned participants were detected by using the SNP sensitive On/ Off Switch technique. The genotypes and allele frequencies were analyzed to compare the distribution difference between case group and control group as well as its association to the clinical features of lung cancer. Results: The genotype frequencies of AA, AT and TT of ATM rs175048 were 24.9%, 52.9%, 22.2% in case group and 42.2%, 42.2%, 15.6% in control group, respectively (all P<0.01). Moreover, the frequencies of alleles A and T were 51.0%, 49.0% in case group, and 63.0%, 37.0% in control group (all P<0.01).Genotype TT might increase while genotype AT might decrease the risk of lung cancer. rs175048 SNP was significantly correlated with smoking, age, sex and family history (all P<0.05). Conclusion: rs175048 SNP is significantly associated with lung cancer, and TT genotype may increase the risk of lung cancer.

湖南省自然科学基金资助项目（No. 2018JJ2350）