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低甲基化区域分析鉴定 EBF1 为乳腺癌潜在的表观遗传修饰物。

Lowly methylated region analysis identifies EBF1 as a potential epigenetic modifier in breast cancer.

机构信息

a Epigenetics Group , International Agency for Research on Cancer (IARC) , Lyon Cedex 08, France.

出版信息

Epigenetics. 2017;12(11):964-972. doi: 10.1080/15592294.2017.1373919. Epub 2017 Nov 10.

Abstract

Breast cancer (BC) encompasses heterogeneous pathologies with different subtypes exhibiting distinct molecular changes, including those related to DNA methylation. However, the role of these changes in mediating BC heterogeneity is poorly understood. Lowly methylated regions (LMRs), non-CpG island loci that usually contain transcription factor (TF) binding sites, have been suggested to act as regulatory elements that define cellular identity. In this study, we aimed to identify the key subtype-specific TFs that may lead to LMR generation and shape the BC methylome and transcription program. We initially used whole-genome bisulfite sequencing (WGBS) data available at The Cancer Genome Atlas (TCGA) portal to identify subtype-specific LMRs. Differentially methylated regions (DMRs) within the BC PAM50 subtype-specific LMRs were selected by comparing tumors and normal tissues in a larger TCGA cohort assessed by HumanMethylation450 BeadChip (450K) arrays and TF enrichment analyses were performed. To assess the impact of LMRs on gene expression, TCGA RNA sequencing data were downloaded and Pearson correlations between methylation levels of loci presenting subtype-specific TF motifs and expression of the nearest genes were calculated. WGBS methylome data revealed a large number of LMRs for each of the BC subtypes. Analysis of these LMRs in the 450K datasets available for a larger sample set identified 7,765, 5,657, and 19 differentially methylated positions (DMPs) between normal adjacent tissues and tumor tissues from basal, luminal, and HER2-enriched subtypes, respectively. Unsupervised clustering showed that the discriminatory power of the top DMPs was remarkably strong for basal BC. Interestingly, in this particular subtype, we found 4,409 differentially hypomethylated positions grouped into 1,185 DMRs with a strong enrichment for the early B-cell factor 1 (EBF1) motifs. The methylation levels of the DMRs containing EBF1 motifs showed a strong negative correlation with the expression of 719 nearby genes, including BTS2 and CD74, two oncogenes known to be specific for basal BC subtype and for poor outcome. This study identifies LMRs specific to the three main BC subtypes and reveals EBF1 as a potentially important regulator of BC subtype-specific methylation and gene expression program.

摘要

乳腺癌(BC)包含具有不同分子变化的异质病理学,包括与 DNA 甲基化相关的变化。然而,这些变化在介导 BC 异质性中的作用知之甚少。低甲基化区域(LMRs)是通常包含转录因子(TF)结合位点的非 CpG 岛位点,被认为是定义细胞身份的调节元件。在这项研究中,我们旨在确定可能导致 LMR 产生并塑造 BC 甲基化组和转录程序的关键亚型特异性 TF。我们最初使用全基因组亚硫酸氢盐测序(WGBS)数据,该数据可从癌症基因组图谱(TCGA)门户获得,以识别亚型特异性 LMR。通过比较更大的 TCGA 队列中肿瘤和正常组织的人类甲基化 450 珠阵列(450K)评估的比较,选择了 BC PAM50 亚型特异性 LMR 内的差异甲基化区域(DMR),并进行了 TF 富集分析。为了评估 LMRs 对基因表达的影响,下载了 TCGA RNA 测序数据,并计算了呈现亚型特异性 TF 基序的基因座的甲基化水平与最近基因表达之间的 Pearson 相关性。WGBS 甲基化组数据为每个 BC 亚型显示了大量的 LMR。在更大样本集的可用 450K 数据集分析这些 LMRs 中,在基底、腔和 HER2 富集亚型中,正常相邻组织与肿瘤组织之间分别鉴定出 7765、5657 和 19 个差异甲基化位置(DMP)。无监督聚类显示,基底 BC 中顶级 DMP 的区分能力非常强。有趣的是,在这个特定的亚型中,我们发现了 4409 个差异低甲基化位置,分为 1185 个 DMR,EBF1 基序强烈富集。包含 EBF1 基序的 DMR 的甲基化水平与 719 个附近基因的表达呈强烈负相关,包括 BTS2 和 CD74,这两个已知是基底 BC 亚型和不良预后的致癌基因。这项研究确定了三个主要 BC 亚型的特异性 LMR,并揭示了 EBF1 是 BC 亚型特异性甲基化和基因表达程序的潜在重要调节剂。

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