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全面分析食管癌部分甲基化域和差异甲基化区域揭示了细胞类型和癌症特异性的表观遗传调控。

Comprehensive analyses of partially methylated domains and differentially methylated regions in esophageal cancer reveal both cell-type- and cancer-specific epigenetic regulation.

机构信息

Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.

Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, USA.

出版信息

Genome Biol. 2023 Aug 24;24(1):193. doi: 10.1186/s13059-023-03035-3.

Abstract

BACKGROUND

As one of the most common malignancies, esophageal cancer has two subtypes, squamous cell carcinoma and adenocarcinoma, arising from distinct cells-of-origin. Distinguishing cell-type-specific molecular features from cancer-specific characteristics is challenging.

RESULTS

We analyze whole-genome bisulfite sequencing data on 45 esophageal tumor and nonmalignant samples from both subtypes. We develop a novel sequence-aware method to identify large partially methylated domains (PMDs), revealing profound heterogeneity at both methylation level and genomic distribution of PMDs across tumor samples. We identify subtype-specific PMDs that are associated with repressive transcription, chromatin B compartments and high somatic mutation rate. While genomic locations of these PMDs are pre-established in normal cells, the degree of loss is significantly higher in tumors. We find that cell-type-specific deposition of H3K36me2 may underlie genomic distribution of PMDs. At a smaller genomic scale, both cell-type- and cancer-specific differentially methylated regions (DMRs) are identified for each subtype. Using binding motif analysis within these DMRs, we show that a cell-type-specific transcription factor HNF4A maintains the binding sites that it generates in normal cells, while establishing new binding sites cooperatively with novel partners such as FOSL1 in esophageal adenocarcinoma. Finally, leveraging pan-tissue single-cell and pan-cancer epigenomic datasets, we demonstrate that a substantial fraction of cell-type-specific PMDs and DMRs identified here in esophageal cancer are actually markers that co-occur in other cancers originating from related cell types.

CONCLUSIONS

These findings advance our understanding of DNA methylation dynamics at various genomic scales in normal and malignant states, providing novel mechanistic insights into cell-type- and cancer-specific epigenetic regulations.

摘要

背景

食管癌作为最常见的恶性肿瘤之一,有两种亚型,即鳞状细胞癌和腺癌,起源于不同的细胞起源。区分细胞类型特异性的分子特征与癌症特异性特征具有挑战性。

结果

我们分析了来自这两种亚型的 45 个食管肿瘤和非恶性样本的全基因组亚硫酸氢盐测序数据。我们开发了一种新的序列感知方法来识别大的部分甲基化域(PMD),揭示了肿瘤样本中 PMD 在甲基化水平和基因组分布上的深刻异质性。我们确定了与抑制性转录、染色质 B 区室和高体细胞突变率相关的亚型特异性 PMD。虽然这些 PMD 的基因组位置在正常细胞中已经预先建立,但在肿瘤中丢失的程度要高得多。我们发现 H3K36me2 的细胞类型特异性沉积可能是 PMD 基因组分布的基础。在较小的基因组尺度上,为每种亚型确定了细胞类型特异性和癌症特异性差异甲基化区域(DMR)。我们在这些 DMR 内使用结合基序分析,表明转录因子 HNF4A 特异性地维持它在正常细胞中产生的结合位点,同时与 FOSL1 等新的伙伴合作在食管腺癌中建立新的结合位点。最后,利用泛组织单细胞和泛癌症表观基因组数据集,我们证明了在这里在食管癌中鉴定的大量细胞类型特异性 PMD 和 DMR 实际上是与源自相关细胞类型的其他癌症共同出现的标志物。

结论

这些发现推进了我们对正常和恶性状态下各种基因组尺度上 DNA 甲基化动态的理解,为细胞类型特异性和癌症特异性表观遗传调控提供了新的机制见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c63d/10463844/f3e47f6d21e6/13059_2023_3035_Fig1_HTML.jpg

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