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Epigenetic markers of prostate cancer in plasma circulating DNA

机译:血浆循环DNA中前列腺癌的表观遗传标记

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Epigenetic differences are a common feature of many diseases, including cancer, and disease-associated changes have even been detected in bodily fluids. DNA modification studies in circulating DNA (cirDNA) may lead to the development of specific non-invasive biomarkers. To test this hypothesis, we investigated cirDNA modifications in prostate cancer patients with locally confined disease (n = 19), in patients with benign prostate hyperplasias (n = 20) and in men without any known prostate disease (n = 20). This initial discovery screen identified 39 disease-associated changes in cirDNA modification, and seven of these were validated using the sodium bisulfite-based mapping of modified cytosines in both the discovery cohort and an independent 38-patient validation cohort. In particular, we showed that the DNA modification of regions adjacent to the gene encoding ring finger protein 219 distinguished prostate cancer from benign hyperplasias with good sensitivity (61%) and specificity (71%). We also showed that repetitive sequences detected in this study were meaningful, as they indicated a highly statistically significant loss of DNA at the pericentromeric region of chromosome 10 in prostate cancer patients (p = 1.8 × 10–6). Based on these strong univariate results, we applied machine-learning techniques to develop a multi-locus biomarker that correctly distinguished prostate cancer samples from unaffected controls with 72% accuracy. Lastly, we used systems biology techniques to integrate our data with publicly available DNA modification and transcriptomic data from primary prostate tumors, thereby prioritizing genes for further studies. These data suggest that cirDNA epigenomics are promising source for non-invasive biomarkers.
机译:表观遗传差异是包括癌症在内的许多疾病的共同特征,甚至在体液中也发现了与疾病相关的变化。循环DNA(cirDNA)中的DNA修饰研究可能会导致开发特定的非侵入性生物标记。为了验证这一假设,我们调查了患有局限性疾病的前列腺癌患者(n = 19),患有前列腺增生的患者(n = 20)和无任何已知前列腺疾病的男性(n = 20)的cirDNA修饰。该初始发现筛选确定了39个与疾病相关的cirDNA修饰变化,并且在发现队列和独立的38位患者验证队列中,使用基于亚硫酸氢钠的修饰胞嘧啶作图来验证了其中的七个。特别地,我们显示了与编码无名指蛋白219的基因相邻的区域的DNA修饰以良好的敏感性(61%)和特异性(71%)将前列腺癌与良性增生区分开。我们还表明,在这项研究中检测到的重复序列是有意义的,因为它们表明前列腺癌患者10号染色体的着丝粒区域DNA的统计学高度显着丢失(p = 1.8×10 –6 ) 。基于这些强大的单变量结果,我们应用了机器学习技术来开发多位点生物标志物,以72%的准确度正确区分未受影响对照中的前列腺癌样本。最后,我们使用系统生物学技术将我们的数据与来自原发性前列腺肿瘤的可公开获得的DNA修饰和转录组数据进行整合,从而对基因进行优先排序以进行进一步研究。这些数据表明,cirDNA表观基因组学是非侵入性生物标志物的有希望的来源。

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