中华皮肤科杂志 ›› 2021, Vol. 54 ›› Issue (11): 966-972.doi: 10.35541/cjd.20201069

• 论著 • 上一篇    下一篇

黑素瘤相关DNA甲基化位点的初步筛查及异常甲基化谱的构建

陈丽君    李婷婷    赵娟    曾颖    王鹏    康晓静   

  1. 新疆维吾尔自治区人民医院皮肤性病科  新疆皮肤病研究重点实验室,乌鲁木齐  830001
  • 收稿日期:2020-11-05 修回日期:2021-08-27 发布日期:2021-11-01
  • 通讯作者: 康晓静 E-mail:drkangxj666@163.com
  • 基金资助:
    自治区创新环境(人才、基地)建设专项(人才专项计划--天山创新团队)(2020D14006)

Screening of DNA methylation sites associated with melanoma and construction of an aberrant methylation profile: a preliminary study

Chen Lijun, Li Tingting, Zhao Juan, Zeng Ying, Wang Peng, Kang Xiaojing   

  1. Department of Dermatology, People′s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Key Laboratory of Dermatology Research (XJYS1707), Urumqi 830001, China
  • Received:2020-11-05 Revised:2021-08-27 Published:2021-11-01
  • Contact: Kang Xiaojing E-mail:drkangxj666@163.com
  • Supported by:
    Special Project for the Construction of Innovative Environment (Talents, Bases) in the Autonomous Region(Talent special plan - Tianshan innovation team)(2020D14006)

摘要: 【摘要】 目的 运用基因芯片技术筛查与黑素瘤相关的DNA异常甲基化位点,初步构建黑素瘤特异性甲基化谱。方法 采用Illumina Human Methylation 450K全基因组甲基化芯片对6例黑素瘤组织及其瘤旁组织标本进行全基因组DNA检测,得出差异DNA甲基化位点。采用Gene Ontology(GO)富集分析及KEGG_Pathway分析了解基因功能。结果 基因芯片检测结果显示,黑素瘤组织与瘤旁组织存在差异甲基化位点,共27 779个,其中16 673个为高甲基化位点,11 106个低甲基化位点。提高筛选条件为P < 0.01、︳Δβ︳ > 0.2,过滤掉所有单核苷酸多态性相关探针、位于XY染色体上的探针以及交叉反应的探针,共筛选得到4 883个差异甲基化位点,其中1 459(30%)个位于启动子区(包括TSS1500、TSS200、5′UTR、1st Exon)。GO富集分析显示,差异甲基化基因参与的生物学过程主要包括细胞生长、分化、黏附、运动迁移、信号转导及转录调控等。KEGG_Pathway分析显示,差异甲基化基因主要参与黏着斑、癌症通路、转化生长因子β信号通路、磷脂酰肌醇信号通路、黑素生成、趋化因子信号通路、黏合连接、钙信号通路、细胞黏附分子、MAPK信号通路、Wnt信号通路、JAK-STAT信号通路。基于“启动子区高甲基化位点对应的前16个基因、出现甲基化频率最高(CpG位点 ≥ 7)的基因、具有一定的功能或参与某条信号通路”条件,选出8个基因(KAAG1、DGKE、SOCS2、TFAP2A、GNMT、GALNT3、ANK2、HOXA9)作为黑素瘤候选生物标志物。结论 黑素瘤组织存在较多高甲基化基因,8个差异甲基化基因有可能作为黑素瘤的生物标志物。

关键词: 痣和黑素瘤, 表观基因组学, DNA甲基化, 芯片分析技术, 生物学过程, 信号通路

Abstract: 【Abstract】 Objective To screen aberrant DNA methylation sites associated with melanoma using gene chip technology, and to preliminarily construct a melanoma-specific methylation profile. Methods The Illumina Human Methylation 450K whole-genome methylation chip was used to detect the whole-genome DNA in 6 melanoma tissues and their paralesional skin tissues, and DNA differentially methylated sites were obtained. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG)-based pathway analysis were carried out to investigate gene functions. Results Gene chip testing showed that there were 27 779 differentially methylated sites between melanoma tissues and paralesional tissues, of which 16 673 were hypermethylated sites and 11 106 were hypomethylated sites in melanoma tissues. According to more stringent screening criteria "P < 0.01 and |Δβ| > 0.2", a total of 4 883 differentially methylated sites were screened out after filtering out all single nucleotide polymorphism-related probes, probes located on the XY chromosomes and cross-reactive probes, 1 459 (30%) of which were located in the promoter region including TSS1500, TSS200, 5′UTR and 1st Exon. GO enrichment analysis showed that differentially methylated genes were involved in many biological processes, including cell growth, differentiation, adhesion, movement and migration, signal transduction, transcriptional regulation, etc. KEGG-based pathway analysis showed that differentially methylated genes were mainly involved in signaling pathways, such as focal adhesion pathway, cancer pathways, transforming growth factor-β signaling pathway, phosphatidylinositol signaling pathway, melanogenesis pathway, chemokine signaling pathway, adhesion junction pathway, calcium signaling pathway, cell adhesion molecule pathway, mitogen-activated protein kinase signaling pathway, Wnt signaling pathway, Janus kinase-signal transducer and activator of transcription signaling pathway. Based on the criteira "the top 16 most differentially methylated genes related to hypermethylated sites in the promoter region, the genes with the highest methylation frequency (CpG sites ≥ 7), the genes with certain functions or involved in a certain signaling pathway", 8 genes (KAAG1, DGKE, SOCS2, TFAP2A, GNMT, GALNT3, ANK2 and HOXA9) were selected as candidate biomarkers for melanoma. Conclusion There are many hypermethylated genes in melanoma tissues, and 8 differentially methylated genes may serve as biomarkers for melanoma.

Key words: Nevi and melanomas, Epigenomics, DNA methylation, Microchip analytical procedures, Biological processes, Signaling pathway