口腔癌发生过程中潜在 miRNA-mRNA 调控网络的鉴定。
Identification of Potential miRNA-mRNA Regulatory Network in the Development of Oral Cancer.
机构信息
Department of Stomatology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China.
Department of Stomatology, North China Medical and Health Group XingTai General Hospital, Xingtai 054000, China.
出版信息
Dis Markers. 2022 Aug 18;2022:9376608. doi: 10.1155/2022/9376608. eCollection 2022.
BACKGROUND
Oral cancer is a difficult question in modern medical system, and there are few effective strategies to completely heal these diseases. This research investigated the miRNA-mRNA network in oral cancer development via bioinformatics excavation.
METHODS
GSE28100 and GSE23558 in the GEO database were selected for bioinformatics analysis. The datasets were analyzed with GEO2R to obtain the related matrix files. The hot plot and heatmap of the matrix files were drawn with R language. The MiRDIP database was applied to predict and screen the targets of miRNAs. The DEGs in the matrix files were analyzed with the DAVID database and visualized with R language for enrichment analysis. The PPI-network of the DEGs was established with the STRING database and Cytoscape. Besides, the miRNA-mRNA was visualized by Cytoscape.
RESULTS
35 genes were identified as the DEGs in GES28100. 1651 genes were identified as the DEGs in GSE23558. 143 common genes in the targets of miRNAs in GSE28100 and the DEGs in GSE the targets of DEGs in GES28100 and common genes were enriched in the PI3K/AKT pathway, MAPK pathway, etc. The DEGs in GSE28100 and GSE23558 were involved in the regulations of transcription from RNA polymerase II promoter and DNA transcription. The DEGs in GSE28100 and GSE23558 were established with the miRNA-mRNA network.
CONCLUSION
This research identified miR-15b-5p, miR-199a-3p, miR-21-5p, miR-424-5p, and miR-454-3p as the biomarker of oral cancer and established the miRNA-mRNA network in oral progression.
背景
口腔癌是现代医学体系中的一个难题，目前几乎没有有效的策略可以完全治愈这些疾病。本研究通过生物信息学挖掘，探讨了口腔癌发展过程中的 miRNA-mRNA 网络。
方法
从 GEO 数据库中选择 GSE28100 和 GSE23558 进行生物信息学分析。使用 GEO2R 分析数据集，获得相关矩阵文件。使用 R 语言绘制矩阵文件的热点图和热图。应用 MiRDIP 数据库预测和筛选 miRNA 的靶标。使用 DAVID 数据库对矩阵文件中的 DEGs 进行分析，并使用 R 语言进行可视化富集分析。使用 STRING 数据库和 Cytoscape 建立 DEGs 的 PPI 网络。此外，使用 Cytoscape 可视化 miRNA-mRNA。
结果
在 GES28100 中鉴定出 35 个 DEGs，在 GSE23558 中鉴定出 1651 个 DEGs。在 GSE28100 中 miRNA 的靶标和 GSE23558 中的 DEGs 的共同靶标中，有 143 个基因被富集在 PI3K/AKT 通路、MAPK 通路等通路中。GSE28100 和 GSE23558 中的 DEGs 参与了 RNA 聚合酶 II 启动子和 DNA 转录的转录调控。GSE28100 和 GSE23558 中的 DEGs 建立了 miRNA-mRNA 网络。
结论
本研究鉴定出 miR-15b-5p、miR-199a-3p、miR-21-5p、miR-424-5p 和 miR-454-3p 作为口腔癌的生物标志物，并建立了口腔癌进展过程中的 miRNA-mRNA 网络。
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