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Genome-wide DNA Methylation Profiling of Cell-Free Serum DNA in Esophageal Adenocarcinoma and Barrett Esophagus12

机译:食管腺癌和巴雷特食管中无细胞血清DNA的全基因组DNA甲基化分析

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摘要

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.
机译:DNA甲基化异常(DNAm)是大多数类型癌症的特征。全基因组DNAm分析已在肿瘤组织DNA样品上成功进行。然而,侵入性程序限制了肿瘤组织用于流行病学研究的实用性。尽管最近的数据表明无细胞循环DNAm(cfDNAm)谱反映了相应肿瘤组织中DNAm的状态,但尚无研究在全基因组范围内检查cfDNAm与癌症或前体的关联。这项初步研究的目的是评估在食管腺癌(EA)和巴雷特食管(BE,EA的前体)中全基因组cfDNAm图谱的推定意义。我们使用Infinium HumanMethylation27在EA组织DNA(n = 8)和匹配的血清DNA(n = 8),BE的血清DNA(n = 10)和健康对照(n = 10)中进行了全基因组DNAm分析BeadChip涵盖14495个基因中的27578个CpG基因座。我们发现,在EA患者中,cfDNAm图谱与匹配的肿瘤组织DNA中的DNAm图谱高度相关(r = 0.92)。我们选择差异最大的甲基化基因座来进行层次聚类分析。我们发现911位点可以完美地区分EA和对照样品,554位点可以将EA与BE样品分开,而46位点可以将BE与对照样品区分开。这些结果表明,全基因组的cfDNAm图谱与在相应肿瘤组织中检测到的DNAm图谱高度一致。差异cfDNAm分析可能是无创筛查EA和EA癌前病变的有用方法。

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