Wang Zhaojun, Li Haifeng, Li Fajun, Su Xin, Zhang Junhang
Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Department of Anesthesiology, Guangdong General Hospital, Guangzhou, China.
J Oncol. 2020 Sep 29;2020:8813800. doi: 10.1155/2020/8813800. eCollection 2020.
Esophageal squamous cell carcinoma (ESCC) has a poor prognosis due to the lack of early disease symptoms. Using bioinformatics tools, this study aimed to discover differentially expressed nonprotein-coding RNAs and genes with potential prognostic relevance in ESCC.
Two microRNAs (miRNAs) and one circular RNA (circRNA) microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression of miRNAs (DEMs) and circRNAs (DECs) was, respectively, identified in ESCC tissue and compared to adjacent healthy tissue. Further analysis was performed using the miRNA microarray datasets, where miRTarBase was used to predict which messenger RNAs (mRNAs) was present. This was followed by protein-protein interaction (PPI) network, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO) analyses. Moreover, cytoHubba and UALCAN were used to predict the important nodes and perform patient survival analysis, respectively. The miRNA-associated circRNAs were predicted using the ENCORI website. The interaction between DECs and the predicted circRNAs was also determined. A circRNA-miRNA-mRNA axis was constructed.
Associated with and circ_0052867, two miRNAs (miR-133b and miR-139-5p) were identified as being differentially expressed and downregulated across the two datasets. Finally, the circ_0052867/miR-139-5p/ regulatory axis was established.
This study provides support for the possible mechanisms of disease progression in ESCC.
由于缺乏早期疾病症状，食管鳞状细胞癌（ESCC）的预后较差。本研究旨在利用生物信息学工具，发现食管鳞状细胞癌中差异表达的非蛋白质编码RNA和具有潜在预后相关性的基因。
从基因表达综合数据库（GEO）下载了两个微小RNA（miRNA）和一个环状RNA（circRNA）微阵列数据集。分别在ESCC组织中鉴定miRNA（DEM）和circRNA（DEC）的差异表达，并与相邻的健康组织进行比较。使用miRNA微阵列数据集进行进一步分析，其中使用miRTarBase预测存在哪些信使RNA（mRNA）。随后进行蛋白质-蛋白质相互作用（PPI）网络、京都基因与基因组百科全书（KEGG）和基因本体论（GO）分析。此外，分别使用cytoHubba和UALCAN预测重要节点并进行患者生存分析。使用ENCORI网站预测与miRNA相关的circRNA。还确定了DEC与预测的circRNA之间的相互作用。构建了circRNA-miRNA-mRNA轴。
与 和circ_0052867相关，两个miRNA（miR-133b和miR-139-5p）被鉴定为在两个数据集中差异表达且下调。最后，建立了circ_0052867/miR-139-5p/调控轴。
本研究为ESCC疾病进展的可能机制提供了支持。
