Shen Yi, Shao Yi, Niu Chen, Ruan Xiaoli, Zang Zhaoping, Nakyeyune Rena, Guo Xiuhua, Liu Fen
Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
Front Genet. 2021 Mar 3;12:580390. doi: 10.3389/fgene.2021.580390. eCollection 2021.
Circular RNAs (circRNAs) are described as endogenous non-coding RNAs that have been reported to play important roles in the development and progression of cancers. This study aimed to reveal the circRNA-related regulatory mechanism in esophageal squamous cell carcinoma (ESCC).
A genome-wide circRNA microarray assay was performed to profile the expression of circRNAs in the blood of preoperative ESCC patients and healthy controls. A systematic method of data mining was performed to identify the differentially expressed miRNAs (DEmiRs) and differentially expressed genes (DEGs) based on the metaMA and RankProd analysis. Bioinformatics analyses and multiple tools were employed to construct the potential circRNA-miRNA-mRNA regulatory network.
Thirty-three differentially expressed circRNAs were identified in the ESCC blood, including 31 downregulated and two upregulated circRNAs in the blood of ESCC patients compared with the healthy controls. Twenty-three DEmiRs and 2,220 DEGs were obtained by the integration of microarray datasets. An ESCC-associated circRNA-miRNA-mRNA network was constructed based on 31 circRNAs, 3 DEmiRs, and 190 DEGs. Enrichment analyses indicated that the DEGs were associated with a series of biological processes and cancer-related pathways. The protein-protein interaction (PPI) network was generated by the 190 DEGs, with 10 hub genes verified in the network. Subsequently, a sub-network was established for ESCC, which included 29 circRNAs, 2 miRNAs, and 10 hub genes.
Our study provided a novel clue to help understand the circRNA-miRNA-mRNA regulatory mechanism, highlighting the potential roles of circRNAs in the pathogenesis and development of ESCC.
环状RNA(circRNAs)被描述为内源性非编码RNA,据报道在癌症的发生和发展中起重要作用。本研究旨在揭示食管鳞状细胞癌(ESCC)中与circRNA相关的调控机制。
进行全基因组circRNA微阵列分析,以分析术前ESCC患者和健康对照者血液中circRNAs的表达。基于metaMA和RankProd分析,采用系统的数据挖掘方法来鉴定差异表达的miRNA(DEmiRs)和差异表达基因(DEGs)。运用生物信息学分析和多种工具构建潜在的circRNA-miRNA-mRNA调控网络。
在ESCC血液中鉴定出33种差异表达的circRNAs,与健康对照相比,ESCC患者血液中有31种circRNAs下调,2种上调。通过整合微阵列数据集获得了23种DEmiRs和2220种DEGs。基于31种circRNAs、3种DEmiRs和190种DEGs构建了ESCC相关的circRNA-miRNA-mRNA网络。富集分析表明,DEGs与一系列生物学过程和癌症相关途径有关。由190种DEGs生成了蛋白质-蛋白质相互作用(PPI)网络,网络中验证了10个枢纽基因。随后,建立了ESCC的子网络,其中包括29种circRNAs、2种miRNAs和10个枢纽基因。
我们的研究为理解circRNA-miRNA-mRNA调控机制提供了新线索,突出了circRNAs在ESCC发病机制和发展中的潜在作用。