Department of General Surgery, Ningbo Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Ningbo, Zhejiang, China.
J Cell Biochem. 2020 Jan;121(1):394-406. doi: 10.1002/jcb.29194. Epub 2019 Jun 24.
Many studies focusing on circular RNAs (circRNAs) have recently been published. However, a large number of circRNAs remain to be explored. This study was designed to discover new circRNAs and investigate their potential roles in the pathogenesis of pancreatic ductal adenocarcinoma (PDAC).
A combination of gene chip analysis and bioinformatic methods was utilized to reveal new circRNAs and their possible mechanisms in PDAC. A circRNA-miRNA-mRNA network was established based on the results of differential analyses and interaction predictions. Promising drugs for treating PDAC were determined by connectivity map (CMap) analysis.
Expression profile data were collected from the Gene Expression Omnibus database, and integration of differentially expressed circRNAs (DECs) from two gene chips using the RobustRankAggreg method revealed 10 DECs. The microRNA (miRNA) response elements of these 10 DECs were predicted. The predicted miRNAs and differentially expressed miRNAs were intersected, and 12 overlapping miRNAs were acquired. Next, 2908 miRNA target mRNAs and 1187 differentially expressed genes (DEGs) in PDAC were identified and combined, revealing 118 overlapping mRNAs. A protein-protein interaction network was constructed with the 118 mRNAs, and four hub genes (CDH1, SERPINE1, IRS1 and FYN) were identified. Using Gene Expression Profiling Interactive Analysis, survival analyses were conducted for the four hub genes, and SERPINE1 and FYN were found to be significantly associated with PDAC patient survival. Functional enrichment analysis indicated that these four hub genes are closely associated with certain cancer-related biological functions and pathways. In addition, CMap analysis based on the four hub genes was performed to screen potential therapeutic agents for PDAC, and three bioactive chemicals (celastrol, 5109870 and MG-132) were discovered.
The results of this study further our understanding of the pathogenesis and treatment of PDAC from the perspective of the circRNA-related competing endogenous RNA network.
最近发表了许多关于环状 RNA(circRNA)的研究。然而,仍有大量的 circRNA 需要探索。本研究旨在发现新的 circRNA,并研究它们在胰腺导管腺癌(PDAC)发病机制中的潜在作用。
结合基因芯片分析和生物信息学方法,揭示 PDAC 中circRNA 的新发现及其可能的机制。基于差异分析和相互作用预测的结果,建立了circRNA-miRNA-mRNA 网络。通过连接图谱(CMap)分析确定了治疗 PDAC 的潜在药物。
从基因表达综合数据库中收集表达谱数据,使用 RobustRankAggreg 方法整合两个基因芯片中差异表达的 circRNA(DECs),揭示了 10 个 DEC。预测了这 10 个 DEC 的 microRNA(miRNA)反应元件。将预测的 miRNA 和差异表达的 miRNA 进行交叉,获得了 12 个重叠的 miRNA。接下来,鉴定并组合了 PDAC 中 2908 个 miRNA 靶基因和 1187 个差异表达基因(DEGs),揭示了 118 个重叠的 mRNAs。利用 118 个 mRNAs 构建了一个蛋白质-蛋白质相互作用网络,鉴定出了四个枢纽基因(CDH1、SERPINE1、IRS1 和 FYN)。通过基因表达谱交互分析对这四个枢纽基因进行生存分析,发现 SERPINE1 和 FYN 与 PDAC 患者的生存显著相关。功能富集分析表明,这四个枢纽基因与某些癌症相关的生物学功能和途径密切相关。此外,基于四个枢纽基因进行了 CMap 分析,筛选出了治疗 PDAC 的潜在治疗药物,发现了三种生物活性化合物(雷公藤红素、5109870 和 MG-132)。
本研究从 circRNA 相关竞争内源性 RNA 网络的角度,进一步了解了 PDAC 的发病机制和治疗方法。