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正常乳腺组织中的DNA甲基化异常值可识别出在癌症中富集的场缺陷。

DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer.

作者信息

Teschendorff Andrew E, Gao Yang, Jones Allison, Ruebner Matthias, Beckmann Matthias W, Wachter David L, Fasching Peter A, Widschwendter Martin

机构信息

Department of Women's Cancer, University College London, Medical School Building, Room 340, 74 Huntley Street, London WC1E 6AU, UK.

CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

出版信息

Nat Commun. 2016 Jan 29;7:10478. doi: 10.1038/ncomms10478.

Abstract

Identifying molecular alterations in normal tissue adjacent to cancer is important for understanding cancer aetiology and designing preventive measures. Here we analyse the DNA methylome of 569 breast tissue samples, including 50 from cancer-free women and 84 from matched normal cancer pairs. We use statistical algorithms for dissecting intra- and inter-sample cellular heterogeneity and demonstrate that normal tissue adjacent to breast cancer is characterized by tens to thousands of epigenetic alterations. We show that their genomic distribution is non-random, being strongly enriched for binding sites of transcription factors specifying chromatin architecture. We validate the field defects in an independent cohort and demonstrate that over 30% of the alterations exhibit increased enrichment within matched cancer samples. Breast cancers highly enriched for epigenetic field defects, exhibit adverse clinical outcome. Our data support a model where clonal epigenetic reprogramming towards reduced differentiation in normal tissue is an important step in breast carcinogenesis.

摘要

识别癌旁正常组织中的分子改变对于理解癌症病因和设计预防措施至关重要。在此,我们分析了569个乳腺组织样本的DNA甲基化组,其中包括50个来自无癌女性的样本以及84个来自配对的正常-癌组织对的样本。我们使用统计算法剖析样本内和样本间的细胞异质性,并证明乳腺癌旁正常组织具有 tens 到数千个表观遗传改变的特征。我们表明它们的基因组分布是非随机的,在指定染色质结构的转录因子结合位点上高度富集。我们在一个独立队列中验证了这些场缺陷,并证明超过30%的改变在配对癌样本中表现出增加的富集。高度富集表观遗传场缺陷的乳腺癌表现出不良临床结局。我们的数据支持一种模型,即正常组织中朝着分化降低的克隆性表观遗传重编程是乳腺癌发生中的一个重要步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c824/4740178/27844cb762f4/ncomms10478-f1.jpg

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