To identify candidate key genes and miRNAs associated with esophageal squamous cell carcinoma (ESCC) development and prognosis, the gene expression profiles and miRNA microarray data including GSE20347, GSE38129, GSE23400, and GSE55856 were downloaded from the Gene Expression Omnibus (GEO) database. Clinical and survival data were retrieved from The Cancer Genome Atlas (TCGA). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of differentially expressed genes (DEGs) was analyzed via DAVID, while the DEG-associated protein-protein interaction network (PPI) was constructed using the STRING database. Additionally, the miRNA target gene regulatory network and miRNA coregulatory network were constructed, using the Cytoscape software. Survival analysis and prognostic model construction were performed via the survival (version 2.42-6) and rbsurv R packages, respectively. The results showed a total of 2575, 2111, and 1205 DEGs, and 226 differentially expressed miRNAs (DEMs) were identified. Pathway enrichment analyses revealed that DEGs were mainly enriched in 36 pathways, such as the proteasome, p53, and beta-alanine metabolism pathways. Furthermore, 448 nodes and 1144 interactions were identified in the PPI network, with MYC having the highest random walk score. In addition, 7 DEMs in the microarray data, including miR-196a, miR-21, miR-205, miR-194, miR-103, miR-223, and miR-375, were found in the regulatory network. Moreover, several reported disease-related miRNAs, including miR-198a, miR-103, miR-223, miR-21, miR-194, and miR-375, were found to have common target genes with other DEMs. Survival analysis revealed that 85 DEMs were related to prognosis, among which hsa-miR-1248, hsa-miR-1291, hsa-miR-421, and hsa-miR-7-5p were used for a prognostic survival model. Taken together, this study revealed the important roles of DEGs and DEMs in ESCC development, as well as DEMs in the prognosis of ESCC. This will provide potential therapeutic targets and prognostic predictors for ESCC.

中文翻译：

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通过微阵列数据的综合分析鉴定与食管鳞状细胞癌相关的差异表达基因和miRNA。

为了鉴定与食管鳞状细胞癌（ESCC）发育和预后相关的候选关键基因和miRNA，从基因表达综合（GEO）数据库下载了基因表达谱和miRNA芯片数据，包括GSE20347，GSE38129，GSE23400和GSE55856。从癌症基因组图谱（TCGA）中检索临床和生存数据。通过DAVID分析了差异表达基因（DEG）的《京都基因与基因组百科全书》（KEGG）途径富集分析，同时使用STRING数据库构建了与DEG相关的蛋白质-蛋白质相互作用网络（PPI）。此外，使用Cytoscape软件构建了miRNA靶基因调控网络和miRNA调控网络。通过生存期（版本2）进行生存期分析和预后模型构建。42-6）和rbsurv R软件包。结果显示，共鉴定了2575、2111和1205个DEG，并鉴定了226个差异表达的miRNA（DEM）。途径富集分析表明，DEG主要富集于36个途径，例如蛋白酶体，p53和β-丙氨酸代谢途径。此外，在PPI网络中确定了448个节点和1144个交互，MYC具有最高的随机游走分数。此外，在调控网络中发现了微阵列数据中的7个DEM，包括miR-196a，miR-21，miR-205，miR-194，miR-103，miR-223和miR-375。此外，发现一些报道的与疾病相关的miRNA，包括miR-198a，miR-103，miR-223，miR-21，miR-194和miR-375，与其他DEM具有相同的靶基因。生存分析显示，有85个DEM与预后相关，其中hsa-miR-1248，hsa-miR-1291，hsa-miR-421和hsa-miR-7-5p用于预后生存模型。两者合计，这项研究揭示了DEG和DEM在ESCC发展中的重要作用，以及DEM在ESCC预后中的重要作用。这将为ESCC提供潜在的治疗靶点和预后指标。