Han Weiguo, Wang Tao, Reilly Andrew A, Keller Steven M, Spivack Simon D
Wadsworth Center, Human Toxicology & Molecular Epidemiology, Albany, NY, USA.
Respir Res. 2009 Sep 25;10(1):86. doi: 10.1186/1465-9921-10-86.
There is a need for new, noninvasive risk assessment tools for use in lung cancer population screening and prevention programs.
To investigate the technical feasibility of determining DNA methylation in exhaled breath condensate, we applied our previously-developed method for tag-adapted bisulfite genomic DNA sequencing (tBGS) for mapping of DNA methylation, and adapted it to exhaled breath condensate (EBC) from lung cancer cases and non-cancer controls. Promoter methylation patterns were analyzed in DAPK, RASSF1A and PAX5beta promoters in EBC samples from 54 individuals, comprised of 37 controls [current- (n = 19), former- (n = 10), and never-smokers (n = 8)] and 17 lung cancer cases [current- (n = 5), former- (n = 11), and never-smokers (n = 1)].
We found: (1) Wide inter-individual variability in methylation density and spatial distribution for DAPK, PAX5beta and RASSF1A. (2) Methylation patterns from paired exhaled breath condensate and mouth rinse specimens were completely divergent. (3) For smoking status, the methylation density of RASSF1A was statistically different (p = 0.0285); pair-wise comparisons showed that the former smokers had higher methylation density versus never smokers and current smokers (p = 0.019 and p = 0.031). For DAPK and PAX5beta, there was no such significant smoking-related difference. Underlying lung disease did not impact on methylation density for this geneset. (4) In case-control comparisons, CpG at -63 of DAPK promoter and +52 of PAX5beta promoter were significantly associated with lung cancer status (p = 0.0042 and 0.0093, respectively). After adjusting for multiple testing, both loci were of borderline significance (p(adj) = 0.054 and 0.031). (5) The DAPK gene had a regional methylation pattern with two blocks (1) approximately -215--113 and (2) -84-+26; while similar in block 1, there was a significant case-control difference in methylation density in block 2 (p = 0.045); (6)Tumor stage and histology did not impact on the methylation density among the cases. (7) The results of qMSP applied to EBC correlated with the corresponding tBGS sequencing map loci.
Our results show that DNA methylation in exhaled breath condensate is detectable and is likely of lung origin. Suggestive correlations with smoking and lung cancer case-control status depend on individual gene and CpG site examined.
在肺癌人群筛查和预防项目中,需要新的非侵入性风险评估工具。
为研究测定呼出气冷凝物中DNA甲基化的技术可行性,我们应用先前开发的标签适配亚硫酸氢盐基因组DNA测序(tBGS)方法来绘制DNA甲基化图谱,并将其应用于肺癌患者和非癌症对照者的呼出气冷凝物(EBC)。对54名个体的EBC样本中的DAPK、RASSF1A和PAX5β启动子的启动子甲基化模式进行了分析,这些个体包括37名对照者[当前吸烟者(n = 19)、既往吸烟者(n = 10)和从不吸烟者(n = 8)]和17名肺癌患者[当前吸烟者(n = 5)、既往吸烟者(n = 11)和从不吸烟者(n = 1)]。
我们发现:(1)DAPK、PAX5β和RASSF1A的甲基化密度和空间分布存在广泛的个体间差异。(2)配对的呼出气冷凝物和漱口样本的甲基化模式完全不同。(3)对于吸烟状态,RASSF1A的甲基化密度有统计学差异(p = 0.0285);两两比较显示,既往吸烟者的甲基化密度高于从不吸烟者和当前吸烟者(p = 0.019和p = 0.031)。对于DAPK和PAX5β,没有这种与吸烟相关的显著差异。潜在的肺部疾病对该基因集的甲基化密度没有影响。(4)在病例对照比较中,DAPK启动子-63位的CpG和PAX5β启动子+52位的CpG与肺癌状态显著相关(分别为p = 0.0042和0.0093)。在进行多重检验校正后,两个位点均具有临界显著性(p(adj) = 0.054和0.031)。(5)DAPK基因有一个区域甲基化模式,有两个区域(1)大约-215--113和(2)-84-+26;虽然区域1相似,但区域2的甲基化密度在病例对照中有显著差异(p = 0.045);(6)肿瘤分期和组织学对病例中的甲基化密度没有影响。(7)应用于EBC的qMSP结果与相应的tBGS测序图谱位点相关。
我们的结果表明,呼出气冷凝物中的DNA甲基化是可检测的,并且可能起源于肺部。与吸烟和肺癌病例对照状态的提示性相关性取决于所检测的个体基因和CpG位点。