a MDS Group. Josep Carreras Leukaemia Research Institute (IJC), ICO-Hospital Germans Trias i Pujol , Universitat Autònoma de Barcelona , Carretera de Can Ruti, Camí de les Escoles, s/n. 08916, Badalona ( Barcelona ), Spain.
b Departament de Bioquímica i Biologia Molecular , Universitat Autònoma de Barcelona , Campus de la UAB, Plaça Cívica, s/n. 08913, Bellaterra ( Barcelona ), Spain.
Epigenetics. 2018;13(1):8-18. doi: 10.1080/15592294.2017.1405199. Epub 2018 Feb 6.
Chromosomal abnormalities are detected in 20-30% of patients with chronic myelomonocytic leukemia (CMML) and correlate with prognosis. On the mutation level, disruptive alterations are particularly frequent in chromatin regulatory genes. However, little is known about the consequential alterations in the epigenetic marking of the genome. Here, we report the analysis of genomic DNA methylation patterns of 64 CMML patients and 10 healthy controls, using a DNA methylation microarray focused on promoter regions. Differential methylation analysis between patients and controls allowed us to identify abnormalities in DNA methylation, including hypermethylation of specific genes and large genome regions with aberrant DNA methylation. Unsupervised hierarchical cluster analysis identified two main clusters that associated with the clinical, biological, and genetic features of patients. Group 1 was enriched in patients with adverse clinical and biological characteristics and poorer overall and progression-free survival. In addition, significant differences in DNA methylation were observed between patients with low risk and intermediate/high risk karyotypes and between TET2 mutant and wild type patients. Taken together, our results demonstrate that altered DNA methylation patterns reflect the CMML disease state and allow to identify patient groups with distinct clinical features.
染色体异常在 20-30%的慢性粒单核细胞白血病(CMML)患者中被检测到,并与预后相关。在突变水平上,染色质调节基因中的破坏性改变特别频繁。然而,对于基因组中表观遗传标记的后续改变知之甚少。在这里,我们报告了对 64 名 CMML 患者和 10 名健康对照者的基因组 DNA 甲基化模式的分析,使用了针对启动子区域的 DNA 甲基化微阵列。患者和对照组之间的差异甲基化分析使我们能够识别 DNA 甲基化的异常,包括特定基因的过度甲基化和具有异常 DNA 甲基化的大片段基因组区域。无监督层次聚类分析确定了与患者的临床、生物学和遗传特征相关的两个主要簇。第 1 组富集了具有不良临床和生物学特征以及整体和无进展生存较差的患者。此外,在低风险和中/高风险核型患者之间以及 TET2 突变型和野生型患者之间观察到 DNA 甲基化的显著差异。总之,我们的结果表明,改变的 DNA 甲基化模式反映了 CMML 疾病状态,并能够识别具有不同临床特征的患者群体。