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Diagnostic Performance of Plasma DNA Methylation Profiles in Lung Cancer Pulmonary Fibrosis and COPD

机译:血浆DNA甲基化特征对肺癌肺纤维化和COPD的诊断性能

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摘要

Disease-specific alterations of the cell-free DNA methylation status are frequently found in serum samples and are currently considered to be suitable biomarkers.Candidate markers were identified by bisulfite conversion-based genome-wide methylation screening of lung tissue from lung cancer, fibrotic ILD, and COPD. cfDNA from 400 μl serum (n = 204) served to test the diagnostic performance of these markers. Following methylation-sensitive restriction enzyme digestion and enrichment of methylated DNA via targeted amplification (multiplexed MSRE enrichment), a total of 96 markers were addressed by highly parallel qPCR.Lung cancer was efficiently separated from non-cancer and controls with a sensitivity of 87.8%, (95%CI: 0.67–0.97) and specificity 90.2%, (95%CI: 0.65–0.98). Cancer was distinguished from ILD with a specificity of 88%, (95%CI: 0.57–1), and COPD from cancer with a specificity of 88% (95%CI: 0.64–0.97). Separation of ILD from COPD and controls was possible with a sensitivity of 63.1% (95%CI: 0.4–0.78) and a specificity of 70% (95%CI: 0.54–0.81). The results were confirmed using an independent sample set (n = 46) by use of the four top markers discovered in the study (HOXD10, PAX9, PTPRN2, and STAG3) yielding an AUC of 0.85 (95%CI: 0.72–0.95).This technique was capable of distinguishing interrelated complex pulmonary diseases suggesting that multiplexed MSRE enrichment might be useful for simple and reliable diagnosis of diverse multifactorial disease states.
机译:无血清DNA甲基化状态的疾病特异性变化通常在血清样品中发现,目前被认为是合适的生物标记物。通过基于亚硫酸氢盐转化的全基因组全甲基化筛查肺癌,纤维化ILD的肺组织来确定候选标记物。和COPD。来自400μl血清(n = 204)的cfDNA用于测试这些标志物的诊断性能。甲基化敏感的限制性内切酶消化并通过靶向扩增富集甲基化的DNA(多重MSRE富集)后,通过高度平行的qPCR处理了总共96个标记,肺癌与非癌症和对照的分离效率高达87.8% ,(95%CI:0.67–0.97)和特异性90.2%,(95%CI:0.65-0.98)。癌症与ILD的特异性为88%(95%CI:0.57-1),而COPD与癌症的特异性为88%(95%CI:0.64-0.97)。可以将ILD与COPD和对照分离,灵敏度为63.1%(95%CI:0.4-0.78),特异性为70%(95%CI:0.54-0.81)。使用独立样本集(n = 46)并使用研究中发现的四个最高标记(HOXD10,PAX9,PTPRN2和STAG3)确认了结果,AUC为0.85(95%CI:0.72-0.95)。该技术能够区分相互关联的复杂肺部疾病,提示多重MSRE富集可能对简单而可靠的各种多因素疾病状态的诊断有用。

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