PO.CL01.08 · 临床研究
研究液体活检中的肾母细胞瘤 DNA 甲基化特征
Investigating a Wilms tumor DNA methylation signature in liquid biopsies
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
对于成人癌症,血浆 ctDNA 对基因组改变的检测有可能在影像学证据出现之前发现癌症,从而支持实时预后判断和治疗反应监测。尽管潜力巨大,ctDNA 检测往往仅限于晚期疾病,很少有低级别肿瘤会脱落足够的、带有该癌症特征性基因组损伤的 ctDNA。与成人肿瘤相比,幼儿期和胚胎性肿瘤的基因组通常是稳定的,具有低体细胞和拷贝数改变,且这些改变往往是良性和异质性的,使得检测更加困难。因此,一种能够检测 ctDNA 中 DNA 甲基化(DNAm)变化以及基因组改变的诊断工具,可以实现更早的癌症检测并改善结局。肾母细胞瘤(WT)是儿童中最常见的肾癌。我们团队已经证明,无论是否存在基因组畸变,DNAm 异常都存在于所有 WT 中,且 DNAm 改变往往是早期病变中最早的致病性变化。在此,我们展示了我们的甲基分类器通过酶法甲基测序(EM-seq)从血浆 cfDNA 中检测 WT 的能力的初步发现。使用 EM-seq,我们目前正在从 35 例 WT 患者和 24 例对照在诊断时抽取的血浆中生成 DNAm 数据。在对 17 例肾母细胞瘤患者和 4 例对照的初步试点分析中,我们的 WT 甲基分类器不仅能够可靠地识别 WT 患者,还将患者 cfDNA 样本分层为两种亚型,其甲基化谱与原发 WT 组织中所报道的相似。此外,我们展示了血浆 cfDNA 样本中存在 WT ctDNA 的佐证:首先,存在与 WT 相关的拷贝数改变,如 1p、11p 和 16q 染色体缺失以及 1q 染色体获得。其次,WT 血浆样本中常见差异甲基化区域的甲基化与肿瘤组织一致——例如 H19 和 KCNQ1OT1 印记控制区域的甲基化分别增加和减少。第三,WT 患者的 cfDNA 与对照相比具有更小的平均 DNA 片段大小——这一模式已在其他癌症类型中被描述。最后,大多数匹配的肿瘤组织与其 cfDNA 对应物共享甲基化亚组谱和 CNA,而不一致的病例可能源于正常组织污染。总之,我们证明了通过测量 DNAm 谱可以在 cfDNA 中稳健地检测到 WT ctDNA。由于诸如 DNAm 亚组之类的预后信息可以从这些数据中得出,该检测非常适合转化为临床分子诊断。我们目前正在优化该检测,用于对具有易感性的患者进行 WT 的早期检测以及治疗反应的监测。
查看英文原文 English abstract
For adult cancers, plasma ctDNA interrogation of genomic alterations has the potential to detect cancers before radiographic evidence, supporting prognostication and monitoring of therapeutic response in real-time. Despite its remarkable potential, ctDNA detection is often limited to advanced disease, with very few low-grade tumors shedding sufficient ctDNA with genomic lesions characteristic of the cancer. In contrast to adult tumors, the genomes of early childhood and embryonal tumors are typically stable with low somatic and copy number alterations that are often benign and heterogeneous, making detection even more difficult. Thus, a diagnostic tool that detects DNA methylation (DNAm) changes in ctDNA in addition to genomic alterations could enable earlier cancer detection and improve outcomes. Wilms tumor (WT) is the most prevalent renal cancer in children. Our group has shown that DNAm aberrations exist in all WTs regardless of the presence of genomic aberrations, and that DNAm alterations are often the earliest pathogenic change in early lesions. Here, we present preliminary findings of our methyl-classifiers' ability to detect WT from plasma cfDNA by enzymatic methyl-sequencing (EM-seq). Using EM-seq, we are currently generating DNAm data from plasma drawn at diagnosis in 35 patients with WT and 24 controls. In the initial pilot analysis of 17 patients with Wilms tumors and 4 controls, our WT-methyl-classifier was not only able to reliably identify patients with WT, but also stratified patient cfDNA samples into two subtypes with methylation profiles similar to those reported in primary WT tissues. Additionally, we showed corroborating evidence of WT ctDNA in plasma cfDNA samples: First, copy number alterations associated with WT were present such as chromosome 1p, 11p, and 16q loss, and chromosome 1q gain. Secondly, methylation at commonly differentially methylated regions in WT plasma samples were concordant with tumor tissue - for example increased and decreased methylation at H19 and KCNQ1OT1 imprinting control regions respectively. Thirdly, cfDNA from patients with WT had smaller average DNA fragment size compared to controls - a pattern that has been described in other cancer types. Lastly, the majority of matched tumor tissues shared methylation subgroup profiles and CNAs with their cfDNA counterparts, while discordant cases likely resulted from normal tissue contamination. In summary, we demonstrated that WT ctDNA is robustly detected in cfDNA through measurement of DNAm profiles. As prognostic information such as DNAm subgroup can be derived from these data, this assay is well positioned for translation into clinical molecular diagnostics. We are currently optimizing this assay for early detection of WT in patients with predisposition and for monitoring of treatment response.
利益披露 Disclosure
M. Shrestha, None..
A. Torabi-Marashi, None..
M. Dutra, None..
S. Choufani, None..
R. Weksberg, None.