Department of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, Xi'an, China.
Department of Neurosurgery, The 88th Hospital of the People's Liberation Army, Taian, China.
CNS Neurosci Ther. 2019 Sep;25(9):937-950. doi: 10.1111/cns.13133. Epub 2019 Apr 23.
DNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA-related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methylation in GBMs of non-glioma-CpG island methylator phenotype (non-G-CIMP).
Prognostic miRNA methylation loci were analyzed, with TCGA and Rennes cohort as training sets, and independent datasets of GBMs and low-grade gliomas (LGGs) were obtained as validation sets. Different statistical and bioinformatic analysis and experimental validations were performed to clinically and biologically characterize the signature.
We identified and validated a risk score based on methylation status of five miRNA-associated CpGs which could predict survival of GBM patients in a series of training and validation sets. This signature was independent of age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The risk subgroup was associated with angiogenesis and accordingly differential responses to bevacizumab-contained therapy. MiRNA target analysis and in vitro experiments further confirmed the accuracy of this signature.
The five-CpG signature of miRNA methylation was biologically relevant and was of potential prognostic and predictive value for GBMs. It might be of help for improving individualized treatment.
DNA 甲基化被发现可以调控 microRNAs(miRNAs)的表达,但 miRNA 相关 DNA 甲基化异常在包括胶质母细胞瘤(GBM)在内的多种癌症中的预后价值仍很大程度上难以捉摸。本研究旨在探讨非胶质瘤-CpG 岛甲基化表型(non-G-CIMP)的 GBM 中 miRNA 甲基化的临床和生物学特征。
分析预后相关的 miRNA 甲基化基因座,以 TCGA 和 Rennes 队列作为训练集,并获得 GBM 和低级别胶质瘤(LGG)的独立数据集作为验证集。进行了不同的统计和生物信息学分析以及实验验证,以对该特征进行临床和生物学表征。
我们鉴定并验证了一个基于五个 miRNA 相关 CpG 甲基化状态的风险评分,该评分可在一系列训练和验证集中预测 GBM 患者的生存情况。该评分独立于年龄和 O-6-甲基鸟嘌呤-DNA 甲基转移酶(MGMT)启动子甲基化状态。风险亚组与血管生成有关,因此对贝伐单抗联合治疗的反应存在差异。miRNA 靶标分析和体外实验进一步证实了该特征的准确性。
miRNA 甲基化的五个 CpG 特征具有生物学相关性,对 GBM 具有潜在的预后和预测价值。它可能有助于改善个体化治疗。