Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA.
Neoplasia. 2012 Jan;14(1):29-33. doi: 10.1593/neo.111626.
Aberrant DNA methylation (DNAm) is a feature of most types of cancers. Genome-wide DNAm profiling has been performed successfully on tumor tissue DNA samples. However, the invasive procedure limits the utility of tumor tissue for epidemiological studies. While recent data indicate that cell-free circulating DNAm (cfDNAm) profiles reflect DNAm status in corresponding tumor tissues, no studies have examined the association of cfDNAm with cancer or precursors on a genome-wide scale. The objective of this pilot study was to evaluate the putative significance of genome-wide cfDNAm profiles in esophageal adenocarcinoma (EA) and Barrett esophagus (BE, EA precursor). We performed genome-wide DNAm profiling in EA tissue DNA (n = 8) and matched serum DNA (n = 8), in serum DNA of BE (n = 10), and in healthy controls (n = 10) using the Infinium HumanMethylation27 BeadChip that covers 27,578 CpG loci in 14,495 genes. We found that cfDNAm profiles were highly correlated to DNAm profiles in matched tumor tissue DNA (r = 0.92) in patients with EA. We selected the most differentially methylated loci to perform hierarchical clustering analysis. We found that 911 loci can discriminate perfectly between EA and control samples, 554 loci can separate EA from BE samples, and 46 loci can distinguish BE from control samples. These results suggest that genome-wide cfDNAm profiles are highly consistent with DNAm profiles detected in corresponding tumor tissues. Differential cfDNAm profiling may be a useful approach for the noninvasive screening of EA and EA premalignant lesions.
异常的 DNA 甲基化(DNAm)是大多数类型癌症的特征。已经成功地对肿瘤组织 DNA 样本进行了全基因组 DNAm 分析。然而,这种有创的程序限制了肿瘤组织在流行病学研究中的应用。虽然最近的数据表明,无细胞循环游离 DNAm(cfDNAm)谱反映了相应肿瘤组织中的 DNAm 状态,但尚无研究在全基因组范围内检查 cfDNAm 与癌症或前体之间的关联。本研究旨在评估食管腺癌(EA)和 Barrett 食管(BE,EA 前体)中全基因组 cfDNAm 谱的潜在意义。我们使用 Infinium HumanMethylation27 BeadChip 对 8 例 EA 组织 DNA(n=8)和匹配的血清 DNA(n=8)、10 例 BE 血清 DNA 和 10 例健康对照者(n=10)进行了全基因组 DNAm 分析,该芯片覆盖了 14495 个基因中的 27578 个 CpG 位点。我们发现,cfDNAm 谱与 EA 患者匹配的肿瘤组织 DNA 中的 DNAm 谱高度相关(r=0.92)。我们选择了最具差异甲基化的基因座进行层次聚类分析。我们发现,911 个基因座可以完美地区分 EA 和对照样本,554 个基因座可以区分 EA 和 BE 样本,46 个基因座可以区分 BE 和对照样本。这些结果表明,全基因组 cfDNAm 谱与相应肿瘤组织中检测到的 DNAm 谱高度一致。cfDNAm 差异分析可能是一种用于非侵入性筛查 EA 和 EA 癌前病变的有用方法。