Masonic Cancer Center, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Epigenetics. 2012 Jun 1;7(6):559-66. doi: 10.4161/epi.20219.
Epigenetic alterations are a common event in lung cancer and their identification can serve to inform on the carcinogenic process and provide clinically relevant biomarkers. Using paired tumor and non-tumor lung tissues from 146 individuals from three independent populations we sought to identify common changes in DNA methylation associated with the development of non-small cell lung cancer. Pathologically normal lung tissue taken at the time of cancer resection was matched to tumorous lung tissue and together were probed for methylation using Illumina GoldenGate arrays in the discovery set (n = 47 pairs) followed by bisulfite pyrosequencing for validation sets (n = 99 pairs). For each matched pair the change in methylation at each CpG was calculated (the odds ratio), and these ratios were averaged across individuals and ranked by magnitude to identify the CpGs with the greatest change in methylation associated with tumor development. We identified the top gene-loci representing an increase in methylation (HOXA9, 10.3-fold and SOX1, 5.9-fold) and decrease in methylation (DDR1, 8.1-fold). In replication testing sets, methylation was higher in tumors for HOXA9 (p < 2.2 × 10 (-16) ) and SOX1 (p < 2.2 × 10 (-16) ) and lower for DDR1 (p < 2.2 × 10 (-16) ). The magnitude and strength of these changes were consistent across squamous cell and adenocarcinoma tumors. Our data indicate that the identified genes consistently have altered methylation in lung tumors. Our identified genes should be included in translational studies that aim to develop screening for early disease detection.
表观遗传改变是肺癌的常见事件,其鉴定可以为致癌过程提供信息,并提供具有临床相关性的生物标志物。我们使用来自三个独立人群的 146 个人的配对肿瘤和非肿瘤肺组织,旨在鉴定与非小细胞肺癌发展相关的常见 DNA 甲基化变化。在癌症切除时采集的病理正常肺组织与肿瘤性肺组织相匹配,并在发现集(n = 47 对)中使用 Illumina GoldenGate 阵列对其进行甲基化探测,然后用亚硫酸氢盐焦磷酸测序对验证集(n = 99 对)进行验证。对于每对匹配的组织,计算每个 CpG 处甲基化的变化(比值比),并对个体进行平均,按幅度排序,以确定与肿瘤发展相关的甲基化变化最大的 CpG。我们确定了代表甲基化增加的前基因座(HOXA9,增加 10.3 倍,SOX1,增加 5.9 倍)和甲基化减少的前基因座(DDR1,减少 8.1 倍)。在复制测试集中,HOXA9(p < 2.2 × 10(-16))和 SOX1(p < 2.2 × 10(-16))的肿瘤中甲基化水平较高,而 DDR1(p < 2.2 × 10(-16))的肿瘤中甲基化水平较低。这些变化的幅度和强度在鳞状细胞癌和腺癌肿瘤中是一致的。我们的数据表明,鉴定出的基因在肺癌肿瘤中一致地存在甲基化改变。我们鉴定出的基因应包含在旨在开发早期疾病检测筛查的转化研究中。