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衰老相关的干细胞中被抑制基因的 DNA 甲基化是癌症的一个特征。

Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.

机构信息

University College London, London WC1E 6BT, UK.

出版信息

Genome Res. 2010 Apr;20(4):440-6. doi: 10.1101/gr.103606.109. Epub 2010 Mar 10.


DOI:10.1101/gr.103606.109
PMID:20219944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2847747/
Abstract

Polycomb group proteins (PCGs) are involved in repression of genes that are required for stem cell differentiation. Recently, it was shown that promoters of PCG target genes (PCGTs) are 12-fold more likely to be methylated in cancer than non-PCGTs. Age is the most important demographic risk factor for cancer, and we hypothesized that its carcinogenic potential may be referred by irreversibly stabilizing stem cell features. To test this, we analyzed the methylation status of over 27,000 CpGs mapping to promoters of approximately 14,000 genes in whole blood samples from 261 postmenopausal women. We demonstrate that stem cell PCGTs are far more likely to become methylated with age than non-targets (odds ratio = 5.3 [3.8-7.4], P < 10(-10)), independently of sex, tissue type, disease state, and methylation platform. We identified a specific subset of 69 PCGT CpGs that undergo hypermethylation with age and validated this methylation signature in seven independent data sets encompassing over 900 samples, including normal and cancer solid tissues and a population of bone marrow mesenchymal stem/stromal cells (P < 10(-5)). We find that the age-PCGT methylation signature is present in preneoplastic conditions and may drive gene expression changes associated with carcinogenesis. These findings shed substantial novel insights into the epigenetic effects of aging and support the view that age may predispose to malignant transformation by irreversibly stabilizing stem cell features.

摘要

多梳组蛋白 (PCG) 参与抑制干细胞分化所需基因的表达。最近的研究表明,PCG 靶基因 (PCGT) 的启动子在癌症中发生甲基化的概率是非 PCGT 的 12 倍。年龄是癌症最重要的人口统计学风险因素,我们假设其致癌潜能可能通过不可逆地稳定干细胞特征来体现。为了验证这一点,我们分析了 261 名绝经后女性全血样本中超过 27000 个 CpG 映射到大约 14000 个基因启动子的甲基化状态。我们证明,与非靶标基因相比,随着年龄的增长,干细胞 PCGT 发生甲基化的可能性要大得多(比值比=5.3 [3.8-7.4],P<10(-10)),与性别、组织类型、疾病状态和甲基化平台无关。我们确定了一组特定的 69 个随着年龄增长而发生超甲基化的 PCGT CpG,并在包括正常和癌症实体组织以及骨髓间充质干细胞/基质细胞群体在内的七个独立数据集(包括超过 900 个样本)中验证了该甲基化特征,P<10(-5))。我们发现年龄-PCGT 甲基化特征存在于癌前状态,可能导致与癌变相关的基因表达变化。这些发现为衰老的表观遗传效应提供了重要的新见解,并支持年龄可能通过不可逆地稳定干细胞特征而导致恶性转化的观点。

相似文献

[1]
Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.

Genome Res. 2010-3-10

[2]
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PLoS Genet. 2012-2-9

[3]
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Hum Genomics. 2015-6-24

[4]
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World J Gastroenterol. 2016-12-21

[5]
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[6]
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[7]
Concise review: roles of polycomb group proteins in development and disease: a stem cell perspective.

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[8]
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[9]
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J Urol. 2013-1-28

[10]
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Proc Natl Acad Sci U S A. 2017-2-28

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[6]
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[7]
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[8]
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[9]
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本文引用的文献

[1]
An epigenetic signature in peripheral blood predicts active ovarian cancer.

PLoS One. 2009-12-18

[2]
A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2.

Cancer Cell. 2009-12-8

[3]
DNA methylation pattern changes upon long-term culture and aging of human mesenchymal stromal cells.

Aging Cell. 2009-11-6

[4]
DNA damage, aging, and cancer.

N Engl J Med. 2009-10-8

[5]
Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context.

PLoS Genet. 2009-8

[6]
Loss of GATA4 and GATA6 expression specifies ovarian cancer histological subtypes and precedes neoplastic transformation of ovarian surface epithelia.

PLoS One. 2009-7-31

[7]
A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2.

Nat Genet. 2009-9

[8]
Chromatin signatures in multipotent human hematopoietic stem cells indicate the fate of bivalent genes during differentiation.

Cell Stem Cell. 2009-1-9

[9]
Silencing of the transforming growth factor-beta (TGFbeta) receptor II by Kruppel-like factor 14 underscores the importance of a negative feedback mechanism in TGFbeta signaling.

J Biol Chem. 2009-3-6

[10]
A general framework for multiple testing dependence.

Proc Natl Acad Sci U S A. 2008-12-2

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