Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.
Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Nat Commun. 2022 Oct 29;13(1):6467. doi: 10.1038/s41467-022-34012-2.
Metastatic prostate cancer remains a major clinical challenge and metastatic lesions are highly heterogeneous and difficult to biopsy. Liquid biopsy provides opportunities to gain insights into the underlying biology. Here, using the highly sensitive enrichment-based sequencing technology, we provide analysis of 60 and 175 plasma DNA methylomes from patients with localized and metastatic prostate cancer, respectively. We show that the cell-free DNA methylome can capture variations beyond the tumor. A global hypermethylation in metastatic samples is observed, coupled with hypomethylation in the pericentromeric regions. Hypermethylation at the promoter of a glucocorticoid receptor gene NR3C1 is associated with a decreased immune signature. The cell-free DNA methylome is reflective of clinical outcomes and can distinguish different disease types with 0.989 prediction accuracy. Finally, we show the ability of predicting copy number alterations from the data, providing opportunities for joint genetic and epigenetic analysis on limited biological samples.
转移性前列腺癌仍然是一个主要的临床挑战,转移性病变具有高度异质性,且难以进行活检。液体活检为深入了解潜在生物学机制提供了机会。在这里,我们使用高度敏感的基于富集的测序技术,分别对局限性前列腺癌和转移性前列腺癌患者的 60 个和 175 个血浆 DNA 甲基组进行了分析。我们表明,游离 DNA 甲基组可以捕获肿瘤以外的变异。在转移性样本中观察到全局超甲基化,同时着丝粒区域的低甲基化。糖皮质激素受体基因 NR3C1 启动子的高甲基化与免疫特征降低有关。游离 DNA 甲基组反映了临床结果,可以以 0.989 的预测准确率区分不同的疾病类型。最后,我们展示了从数据中预测拷贝数改变的能力,为在有限的生物样本上进行联合遗传和表观遗传分析提供了机会。