Suppr超能文献

基于分子网络的甲状腺乳头状癌环状 RNA 相关 ceRNA 网络鉴定。

Molecular Network-Based Identification of Circular RNA-Associated ceRNA Network in Papillary Thyroid Cancer.

机构信息

Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital of Edong Healthcare Group, Hubei Polytechnic University, No.141, Tianjin Road, Huangshi, Hubei, China.

Personnel Section, Huangshi Central Hospital (Pu Ai Hospital) of Edong Healthcare Group, Hubei Polytechnic University, Huangshi, China.

出版信息

Pathol Oncol Res. 2020 Apr;26(2):1293-1299. doi: 10.1007/s12253-019-00697-y. Epub 2019 Jul 9.

Abstract

Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in papillary thyroid cancer (PTC) remains largely unknown. This study aimed to describe the regulatory mechanisms in PTC. The expression profile of circRNA was download from the Gene Expression Omnibus (GEO) database. The mRNA and miRNA data of PTC was downloaded from The Cancer Genome Atlas (TCGA) database. The circRNA-miRNA-mRNA network by Cytoscape. The interactions between proteins were analyzed using the STRING database and hubgenes were identified using MCODE plugin. Then, we conducted a circRNA-miRNA-hubgenes regulatory module. Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) pathway analysis were conducted using R packages "Clusterprofile". We identified 14 differential expression circRNAs (DEcircRNA), 3106 differential expression mRNAs (DEmRNA), 142 differential expression miRNAs (DEmiRNA) and in PTC. Twelve circRNAs, 33 miRNAs, and 356 mRNAs were identified to construct the ceRNA network of PTC. PPI network and module analysis identified 5 hubgenes. Then, a circRNA-miRNA-hubgene subnetwork was constructed based on the 2 DEcircRNAs, 3 DEmiRNAs, and 4 DEmRNAs. GO and KEGG pathway analysis indicated DEmRNAs might be associated with PTC onset and progression. These ceRNAs are critical in the pathogenesis of PTC and may serve as future therapeutic biomarkers.

摘要

环状 RNA(circRNA)在多种类型的癌症中表现出失调表达。然而,它们在甲状腺乳头状癌(PTC)中的功能和潜在机制在很大程度上仍然未知。本研究旨在描述 PTC 中的调控机制。从基因表达综合数据库(GEO)下载 circRNA 的表达谱。从癌症基因组图谱(TCGA)数据库下载 PTC 的 mRNA 和 miRNA 数据。使用 Cytoscape 构建 circRNA-miRNA-mRNA 网络。使用 STRING 数据库分析蛋白质之间的相互作用,并使用 MCODE 插件识别枢纽基因。然后,我们进行了 circRNA-miRNA-枢纽基因调控模块。使用 R 包“Clusterprofile”进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路分析。我们在 PTC 中鉴定出 14 个差异表达的 circRNA(DEcircRNA)、3106 个差异表达的 mRNA(DEmRNA)、142 个差异表达的 miRNA(DEmiRNA)。鉴定出 12 个 circRNA、33 个 miRNA 和 356 个 mRNA 构建 PTC 的 ceRNA 网络。PPI 网络和模块分析鉴定出 5 个枢纽基因。然后,基于 2 个 DEcircRNA、3 个 DEmiRNA 和 4 个 DEmRNA 构建 circRNA-miRNA-枢纽基因子网络。GO 和 KEGG 通路分析表明 DEmRNA 可能与 PTC 的发生和进展有关。这些 ceRNA 在 PTC 的发病机制中至关重要,可能成为未来的治疗生物标志物。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验