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中国高级别浆液性卵巢癌中基于基因表达谱和肿瘤基因型的肿瘤特异性甲基组学。

Tumor specific methylome in Chinese high-grade serous ovarian cancer characterized by gene expression profile and tumor genotype.

机构信息

Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.

BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China.

出版信息

Gynecol Oncol. 2020 Jul;158(1):178-187. doi: 10.1016/j.ygyno.2020.04.688. Epub 2020 May 1.

Abstract

OBJECTIVE

Extensive genetic and limited epigenetics have been characterized by the Cancer Genome Atlas (TCGA) among Western High-grade serous ovarian cancer (HGSOC). The present study aimed to characterize Chinese HGSOC at genome scale.

METHODS

We used reduced representation bisulfite sequencing to investigate whole-genome and tumor-specific DNA methylation in 21 HGSOC tumors paired with their normal tissues, followed by a replication study involving additional 41 HGSOC patients. Altered methylation patterns in HGSOC were further characterized by gene expression profiles and whole-exome sequencing data.

RESULTS

Comparing HGSOC tumors with normal tissues we observed global hypomethylation but with more specific hypermethylation in gene promoter. Totally, we revealed 159,881 differentially methylated regions (DMRs) and 4060 differentially expressed genes (DEGs). By integrating DNA methylation and mRNA expression data, we identified 153 negative (mainly in the upstream region) and 115 positive (mainly in the CDS regions) DMRs-DEGs correlated pairs, respectively. The negatively correlated DMRs-DEGs underlined Wnt and cell adhesion molecule binding as critical canonical pathways disrupted by DNA methylation. Eleven DMRs (in CAPS, FZD7, CDKN2A, PON3, KLF4, etc.), accompanied with a global DNA methylation marker, were validated in the replication samples. Whole-exome sequencing presented a relatively less dominated TP53 mutation in Chinese HGSOC compared to TCGA dataset. Unsupervised analysis of the three-level omics data identified differential methylation and expression subgroups based on tumor genetics, one of which presented increased DNA methylation and significantly associated with TP53 mutation.

CONCLUSIONS

Our individual and integrated analyses contribute details about the tissue-specific genetic and DNA methylation landscape of Chinese HGSOC.

摘要

目的

癌症基因组图谱(TCGA)对西方高级别浆液性卵巢癌(HGSOC)进行了广泛的遗传和有限的表观遗传学研究。本研究旨在对中国 HGSOC 进行全基因组规模的研究。

方法

我们使用简化代表性亚硫酸氢盐测序来研究 21 例 HGSOC 肿瘤与其正常组织的全基因组和肿瘤特异性 DNA 甲基化情况,随后对另外 41 例 HGSOC 患者进行了复制研究。通过基因表达谱和全外显子组测序数据进一步描述 HGSOC 中的改变的甲基化模式。

结果

与正常组织相比,我们观察到 HGSOC 中存在全局低甲基化,但基因启动子中存在更多的特异性高甲基化。总共发现了 159881 个差异甲基化区域(DMRs)和 4060 个差异表达基因(DEGs)。通过整合 DNA 甲基化和 mRNA 表达数据,我们分别鉴定了 153 个负相关(主要在上游区域)和 115 个正相关(主要在 CDS 区域)的 DMRs-DEGs 相关对。DNA 甲基化破坏的关键经典途径包括 Wnt 和细胞粘附分子结合,受负相关 DMRs-DEGs 调控。在验证样本中,11 个 DMRs(在 CAPS、FZD7、CDKN2A、PON3、KLF4 等基因中),伴随着一个全基因组 DNA 甲基化标记物,得到了验证。与 TCGA 数据集相比,中国 HGSOC 中 TP53 突变的整体主导地位相对较少。基于肿瘤遗传学的三级组学数据的无监督分析确定了基于肿瘤遗传学的差异甲基化和表达亚组,其中一个组显示出 DNA 甲基化增加,并且与 TP53 突变显著相关。

结论

我们的个体和综合分析为中国 HGSOC 的组织特异性遗传和 DNA 甲基化景观提供了详细信息。

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