State Key Laboratory of Medical Genomics, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
PLoS One. 2013;8(2):e56213. doi: 10.1371/journal.pone.0056213. Epub 2013 Feb 8.
The prevalence of lung cancer in China will be the world's highest if allowed to proceed uncurbed. To unravel its genetic underpinnings, we sought to investigate the association of three well-characterized nonsynonymous polymorphisms in XRCC1 (Arg194Trp and Arg399Gln) and XRCC3 (Thr241Met) genes with lung cancer risk in northeastern Chinese.
METHODOLOGY/PRINCIPAL FINDINGS: This study was hospital-based in design, encompassing 684 patients with lung cancer and 604 cancer-free controls. Genotyping was performed using the PCR-LDR (ligase detection reactions) method. Data were analyzed by R language and multifactor dimensionality reduction (MDR) software. Single-locus analysis identified significance in genotype distributions of polymorphism Arg194Trp (P = 0.002) and Arg399Gln (P = 0.017), and in allele distributions of Thr241Met (P = 0.005). Carriers of 399Gln/Gln genotype conferred a 147% increased risk relative to the non-carriers (odds ratio (OR): 2.47; 95% confidence interval (95% CI): 1.48-4.13; P<0.001). For Thr241Met, significance persisted under allelic (OR = 1.63; 95% CI: 1.14-2.33; P = 0.005), additive (OR = 1.64; 95% CI: 1.16-2.32; P = 0.005) and dominant (OR = 1.67; 95% CI: 1.17-2.38; P = 0.004) models. However, common allele combinations were comparable in frequency between patients and controls. In interaction analysis, the overall best MDR model included Arg399Gln and Thr241Met polymorphisms, with a maximal testing accuracy of 63.18% and a maximal cross-validation consistency of 10 out of 10 (P = 0.0175).
Our study significantly demonstrated an independent and synergistic contribution of XRCC1 Arg399Gln and XRCC3 Thr241Met polymorphisms to lung cancer susceptibility in northeastern Chinese.
如果不加控制,中国的肺癌患病率将位居世界第一。为了揭示其遗传基础,我们试图研究 X 射线修复交叉互补基因 1(XRCC1)(Arg194Trp 和 Arg399Gln)和 XRCC3(Thr241Met)中三个特征明确的非同义多态性与中国东北地区肺癌风险的关联。
方法/主要发现:本研究为基于医院的设计,包括 684 例肺癌患者和 604 例癌症对照组。采用 PCR-LDR(连接酶检测反应)方法进行基因分型。数据使用 R 语言和多因子维度缩减(MDR)软件进行分析。单基因分析确定了 Arg194Trp 多态性(P=0.002)和 Arg399Gln 多态性(P=0.017)的基因型分布以及 Thr241Met 等位基因分布的显著性。与非携带者相比,399Gln/Gln 基因型携带者的风险增加了 147%(比值比(OR):2.47;95%置信区间(95%CI):1.48-4.13;P<0.001)。对于 Thr241Met,在等位基因(OR=1.63;95%CI:1.14-2.33;P=0.005)、加性(OR=1.64;95%CI:1.16-2.32;P=0.005)和显性(OR=1.67;95%CI:1.17-2.38;P=0.004)模型中均具有显著性。然而,患者和对照组之间常见的等位基因组合频率相当。在交互分析中,整体最佳 MDR 模型包括 Arg399Gln 和 Thr241Met 多态性,最大测试准确性为 63.18%,最大交叉验证一致性为 10 次(P=0.0175)。
我们的研究显著表明 XRCC1 Arg399Gln 和 XRCC3 Thr241Met 多态性独立且协同作用于中国东北地区肺癌易感性。