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通过对人胚胎干细胞样特征进行DNA甲基化分析建立的用于多形性胶质母细胞瘤个性化医疗的表观遗传生物标志物组。

An epigenetic biomarker panel for glioblastoma multiforme personalized medicine through DNA methylation analysis of human embryonic stem cell-like signature.

作者信息

Chiang Jung-Hsien, Cheng Wan-Shu, Hood Leroy, Tian Qiang

机构信息

1 Department of Computer Science and Information Engineering, National Cheng Kung University , Tainan City, Taiwan .

出版信息

OMICS. 2014 May;18(5):310-23. doi: 10.1089/omi.2013.0084. Epub 2014 Mar 6.

Abstract

Alterations of DNA methylation occur during the course of both stem cell development and tumorigenesis. We present a novel strategy that can be used to stratify glioblastoma multiforme (GBM) patients through the epigenetic states of genes associated with human embryonic stem cell (hESC) identity in order to 1) assess linkages between the methylation signatures of these stem cell genes and survival of GBM patients, and 2) delineate putative mechanisms leading to poor prognosis in some patient subgroups. A DNA methylation signature was established for stratifying GBM patients into several hESC methylator subgroups. The hESC methylator-negative phenotype has demonstrated poor survival and upregulation of glioma stem cell (GSC) markers, and is enriched in one of the previously defined transcriptomic phenotypes-the mesenchymal phenotype. We further identified a refined signature of 36 genes as the gene panel, including SOX2, POU3F2, FGFR2, GAP43, NTRK2, NTRK3, and NKX2-2, which are highly enriched in the nervous system. Both signatures outperformed the O6-methylguanine-DNA methyltransferase (MGMT) methylation test in predicting patient's outcome. These findings were also validated through an independent dataset of patients. Furthermore, through statistical analyses, both signatures were examined significantly. Hypomethylation of hESC-associated genes predicted poorer clinical outcome in GBM, supporting the idea that epigenetic activation of stem cell genes contributes to GBM aggression. The gene panel presented herein may be developed into clinical assays for patient stratification and future personalized medicine interventions.

摘要

DNA甲基化改变发生在干细胞发育和肿瘤发生过程中。我们提出了一种新策略,可通过与人类胚胎干细胞(hESC)特性相关基因的表观遗传状态对多形性胶质母细胞瘤(GBM)患者进行分层,以便:1)评估这些干细胞基因的甲基化特征与GBM患者生存之间的联系;2)阐明导致某些患者亚组预后不良的推定机制。建立了一种DNA甲基化特征,用于将GBM患者分层为几个hESC甲基化亚组。hESC甲基化阴性表型显示出生存率低和胶质瘤干细胞(GSC)标志物上调,并且在先前定义的转录组表型之一——间充质表型中富集。我们进一步确定了一个由36个基因组成的精细特征作为基因 panel,包括SOX2、POU3F2、FGFR2、GAP43、NTRK2、NTRK3和NKX2 - 2,这些基因在神经系统中高度富集。这两种特征在预测患者预后方面均优于O6 - 甲基鸟嘌呤 - DNA甲基转移酶(MGMT)甲基化检测。这些发现也通过一个独立的患者数据集得到了验证。此外,通过统计分析,这两种特征均得到了显著检验。hESC相关基因的低甲基化预测GBM患者临床预后较差,支持干细胞基因的表观遗传激活促进GBM侵袭这一观点。本文提出的基因 panel 可开发成用于患者分层和未来个性化医学干预的临床检测方法。

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