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肺腺癌进展中与缺氧相关的 DNA 甲基化驱动基因的全基因组分析。

Genome-wide analysis of the hypoxia-related DNA methylation-driven genes in lung adenocarcinoma progression.

机构信息

Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.

出版信息

Biosci Rep. 2020 Feb 28;40(2). doi: 10.1042/BSR20194200.

Abstract

Lung adenocarcinoma (LUAD) is a common type of lung cancer with high incidence and poor prognosis. Hypoxia and DNA methylation play important regulatory roles in cancer progression. The purpose of the present study was to explore the relationship between hypoxia and DNA methylation, and to identify key genes for hypoxia-regulated LUAD progression. Hypoxia score (HS) was calculated using the GSVA algorithm. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and protein-protein interaction (PPI) analysis were performed using clusterProfile package, STRING database and Cytoscape software. Kaplan-Meier curves of overall survival (OS) and disease-free survival (DFS) were drawn using R software. Smoking status and cancer stages were significantly associated with LUAD hypoxia, and hypoxia is a poor prognostic factor for LUAD. Compared with HS-low group, 1803 aberrantly methylated DEGs were identified in HS-high group. KEGG analysis showed that the 1803 genes were enriched in the metabolic pathways associated with hypoxia stress, angiogenesis and cancer progression. FAM20C, MYLIP and COL7A1 were identified as the hypoxia-related key genes in LUAD progression, which were regulated by DNA methylation. Hypoxia in LUAD tumor cells led to changes in DNA methylation patterns. In-depth study of the relationship between hypoxia and DNA methylation is helpful to elucidate the mechanism of tumorigenesis, and provides new ideas for LUAD treatment.

摘要

肺腺癌 (LUAD) 是一种常见的肺癌类型,发病率高,预后差。缺氧和 DNA 甲基化在癌症进展中发挥重要的调节作用。本研究旨在探讨缺氧与 DNA 甲基化之间的关系,并确定缺氧调节 LUAD 进展的关键基因。使用 GSVA 算法计算缺氧评分 (HS)。使用 clusterProfile 包、STRING 数据库和 Cytoscape 软件进行基因本体论 (GO)、京都基因与基因组百科全书 (KEGG) 通路富集和蛋白质-蛋白质相互作用 (PPI) 分析。使用 R 软件绘制总生存期 (OS) 和无病生存期 (DFS) 的 Kaplan-Meier 曲线。吸烟状况和癌症分期与 LUAD 缺氧显著相关,缺氧是 LUAD 的不良预后因素。与 HS-低组相比,在 HS-高组中鉴定出 1803 个异常甲基化的差异表达基因。KEGG 分析表明,这 1803 个基因富集在与缺氧应激、血管生成和癌症进展相关的代谢途径中。FAM20C、MYLIP 和 COL7A1 被鉴定为 LUAD 进展中与缺氧相关的关键基因,它们受 DNA 甲基化的调节。LUAD 肿瘤细胞中的缺氧导致 DNA 甲基化模式发生变化。深入研究缺氧与 DNA 甲基化之间的关系有助于阐明肿瘤发生的机制,并为 LUAD 的治疗提供新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/7033312/be97b130a40e/bsr-40-bsr20194200-g1.jpg

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