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胃癌关键基因的生物信息学分析及 circRNA-miRNA-mRNA 调控网络

Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.

机构信息

Department of Cell Biology and Genetics, Chongqing Medical University, Chongqing 400016, China.

Clinical Laboratory, Chongqing University Central Hospital, Chongqing 400014, China.

出版信息

Biomed Res Int. 2020 Aug 22;2020:2862701. doi: 10.1155/2020/2862701. eCollection 2020.

Abstract

Gastric cancer (GC) is one of the most common malignancies in the world, with morbidity and mortality ranking second among all cancers. Accumulating evidences indicate that circular RNAs (circRNAs) are closely correlated with tumorigenesis. However, the mechanisms of circRNAs still remain unclear. This study is aimed at determining hub genes and circRNAs and analyzing their potential biological functions in GC. Expression profiles of mRNAs and circRNAs were downloaded from the Gene Expression Omnibus (GEO) data sets of GC and paracancer tissues. Differentially expressed genes (DEGs) and differentially expressed circRNAs (DE-circRNAs) were identified. The target miRNAs of DE-circRNAs and the bidirectional interaction between target miRNAs and DEGs were predicted. Functional analysis was performed, and the protein-protein interaction (PPI) network and the circRNA-miRNA-mRNA network were established. A total of 456 DEGs and 2 DE-circRNAs were identified with 3 mRNA expression profiles and 2 circRNA expression profiles. GO analysis indicated that DEGs were mainly enriched in extracellular matrix and cell adhesion, and KEGG confirmed that DEGs were mainly associated with focal adhesion, the PI3K-Akt signaling pathway, extracellular matrix- (ECM)- receptor interaction, and gastric acid secretion. 15 hub DEGs (BGN, COL1A1, COL1A2, FBN1, FN1, SPARC, SPP1, TIMP1, UBE2C, CCNB1, CD44, CXCL8, COL3A1, COL5A2, and THBS1) were identified from the PPI network. Furthermore, the survival analysis indicate that GC patients with a high expression of the following 9 hub DEGs, namely, BGN, COL1A1, COL1A2, FBN1, FN1, SPARC, SPP1, TIMP1, and UBE2C, had significantly worse overall survival. The circRNA-miRNA-mRNA network was constructed based on 1 circRNA, 15 miRNAs, and 45 DEGs. In addition, the 45 DEGs included 5 hub DEGs. These results suggested that hub DEGs and circRNAs could be implicated in the pathogenesis and development of GC. Our findings provide novel evidence on the circRNA-miRNA-mRNA network and lay the foundation for future research of circRNAs in GC.

摘要

胃癌(GC)是世界上最常见的恶性肿瘤之一,其发病率和死亡率在所有癌症中排名第二。越来越多的证据表明,环状 RNA(circRNA)与肿瘤的发生密切相关。然而,circRNA 的机制仍不清楚。本研究旨在确定 GC 中的枢纽基因和 circRNA,并分析其潜在的生物学功能。从 GC 和癌旁组织的基因表达综合(GEO)数据集下载 mRNA 和 circRNA 的表达谱。鉴定差异表达基因(DEG)和差异表达 circRNA(DE-circRNA)。预测 DE-circRNA 的靶 miRNA 以及靶 miRNA 和 DEG 之间的双向相互作用。进行功能分析,并建立蛋白质-蛋白质相互作用(PPI)网络和 circRNA-miRNA-mRNA 网络。使用 3 个 mRNA 表达谱和 2 个 circRNA 表达谱共鉴定出 456 个 DEG 和 2 个 DE-circRNA。GO 分析表明,DEG 主要富集在细胞外基质和细胞黏附,KEGG 证实 DEG 主要与粘着斑、PI3K-Akt 信号通路、细胞外基质-(ECM)-受体相互作用和胃酸分泌有关。从 PPI 网络中鉴定出 15 个 hub DEG(BGN、COL1A1、COL1A2、FBN1、FN1、SPARC、SPP1、TIMP1、UBE2C、CCNB1、CD44、CXCL8、COL3A1、COL5A2 和 THBS1)。此外,生存分析表明,GC 患者中以下 9 个 hub DEG(BGN、COL1A1、COL1A2、FBN1、FN1、SPARC、SPP1、TIMP1 和 UBE2C)的表达水平较高,总生存率显著较差。基于 1 个 circRNA、15 个 miRNA 和 45 个 DEG 构建 circRNA-miRNA-mRNA 网络。此外,45 个 DEG 包括 5 个 hub DEG。这些结果表明,hub DEG 和 circRNA 可能与 GC 的发病机制和发展有关。我们的研究结果为 circRNA 在 GC 中的研究提供了新的证据,并为未来的 circRNA 研究奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa5c/7463386/e13f2872d26d/BMRI2020-2862701.001.jpg

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