Liu Hongliang, Jin Guangfu, Wang Haifeng, Wu Wenting, Liu Yanhong, Qian Ji, Fan Weiwei, Ma Hongxia, Miao Ruifen, Hu Zhibin, Sun Weiwei, Wang Yi, Jin Li, Wei Qingyi, Shen Hongbing, Huang Wei, Lu Daru
State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China.
Lung Cancer. 2008 Jul;61(1):21-9. doi: 10.1016/j.lungcan.2007.12.001. Epub 2008 Jan 24.
One-carbon metabolism facilitates the cross-talk between genetic and epigenetic processes, making it a good candidate for studying the risk of lung cancer. To investigate the role of common variants of one-carbon metabolizing genes on lung cancer risk, total 25 single nucleotide polymorphisms (SNPs) in 7 genes were genotyped among 500 incident lung cancer patients and 517 cancer-free controls. An increased risk was suggested for the variant allele carriers of MTHFR rs17037396 [odds ratio (OR)=1.39, 95% confidence interval (CI): 1.00-1.94] and rs3753584 (OR=1.46, 95% CI: 1.03-2.08), compared with subjects with wild homozygote, respectively, and the risk was more pronounced among older individuals (>60 years). In contrast, a decreased risk was observed for TYMS rs2853742 variant allele carriers (OR=0.44, 95% CI: 0.19-0.99) and MTHFD rs2236225 variant allele carriers (OR=0.76, 95% CI: 0.59-0.99). Haplotype analysis revealed that MTHFR "ACCACC" haplotype may contribute to the risk of lung cancer (OR=1.49, 95% CI: 1.03-2.14, local test p value 0.032). A data mining method, multifactor dimensionality reduction (MDR), predicted a four-factor interaction model (rs1801133, rs4659731, rs2273029 and rs699517) with the lowest average prediction error (45.08%, p<0.001). These findings suggest that genetic variants in one-carbon metabolizing genes might modulate the risk of lung cancer. Validation of these findings in larger studies is needed.
一碳代谢促进了遗传和表观遗传过程之间的相互作用,使其成为研究肺癌风险的一个良好候选对象。为了研究一碳代谢基因的常见变异对肺癌风险的作用,在500例新发肺癌患者和517例无癌对照中对7个基因中的25个单核苷酸多态性(SNP)进行了基因分型。与野生纯合子受试者相比,MTHFR rs17037396 [比值比(OR)=1.39,95%置信区间(CI):1.00-1.94]和rs3753584(OR=1.46,95%CI:1.03-2.08)的变异等位基因携带者的风险增加,且在老年个体(>60岁)中风险更为明显。相反,TYMS rs2853742变异等位基因携带者(OR=0.44,95%CI:0.19-0.99)和MTHFD rs2236225变异等位基因携带者(OR=0.76,95%CI:0.59-0.99)的风险降低。单倍型分析显示,MTHFR“ACCACC”单倍型可能增加肺癌风险(OR=1.49,95%CI:1.03-2.14,局部检验p值0.032)。一种数据挖掘方法,即多因素降维法(MDR),预测了一个平均预测误差最低(45.08%,p<0.001)的四因素相互作用模型(rs1801133、rs4659731、rs2273029和rs699517)。这些发现表明,一碳代谢基因中的遗传变异可能会调节肺癌风险。需要在更大规模的研究中对这些发现进行验证。