hsa_circ_0020397、hsa_circ_0005986、hsa_circ_0003028和hsa_circ_0006990在肾细胞癌中的表达分析

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Elham Mohammadisoleimani , Zahra Firoozi , Mohammad Mehdi Naghizadeh , Ali Ghanbari Asad , Anahita Jafari , Mohammad Hosein Pourjafarian , Ali Ariafar , Hosein Mansoori , Hassan Dastsooz , Hani Sabaie , Shahryar Zeighami , Yaser Mansoori
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引用次数: 0

摘要

肾细胞癌(RCC)是一种常见的异质性癌症。到目前为止,已经报道了不同的RCC发育基因。然而,其特殊的分子机制尚不清楚。环状RNA(circRNAs)是一类非编码RNA,参与不同恶性肿瘤(如RCC)的许多生物学过程。本研究旨在评估四种可能在RCC中发挥新作用的circRNA(hsa_cir_0020397、hsa_ccirc_0005986、hsa_2circ_0003028、hsa_circ_0006990)的表达及其潜在机制。在实验步骤中,我们使用定量实时聚合酶链反应研究了这四种circRNA在RCC样品中的表达。在生物信息学步骤中,使用GEO2R工具从GEO数据集中获得差异表达的mRNAs(DEmRNAs)和miRNAs(DEmiRNAs)。使用STRING数据库构建了蛋白质-蛋白质相互作用网络,并通过Cytoscape鉴定了枢纽基因。使用KEGG通路富集分析检测与中枢基因相关的分子通路。然后,我们利用ToppGene数据库来检测DEmiRNA和中枢基因之间的关系。此外,通过StarBase和circinteractome数据库预测了circRNA和DEmiRNA之间的相互作用。最后,构建了circRNA-DEmiRNA-hub基因三重网络。我们的结果显示,hsa_circ_0020397、hsa_ccirc_0005986和hsa_cCirc_0006990在RCC组织中的表达下调。此外,这些circRNA在有肾脏病史的患者中的表达显著较低。此外,hsa_cir_0003028和hsa_ccirc_0006990在淋巴血管/神经周浸润和嗜酸细胞瘤型参与者的肿瘤中分别显示出更高的表达。基于生物信息学结果,预测了15个circRNA-DEmiRNA-枢纽基因ceRNA调控轴,其中包括3个枢纽基因、5个miRNA和4个选定的circRNA。总之,目前的工作首次强调了hsa_cir_0020397、hsa_ccirc_0005986、hsa_2circ_0003028和hsa_cCirc_0006990在RCC患者中的表达,为RCC致病机制的分子过程提供了一个新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression analysis of hsa_circ_0020397, hsa_circ_0005986, hsa_circ_0003028, and hsa_circ_0006990 in renal cell carcinoma

Renal cell carcinoma (RCC) is a prevalent heterogeneous kidney cancer. So far, different genes have been reported for RCC development. However, its particular molecular mechanism remains unclear. Circular RNAs (circRNAs), a class of non-coding RNAs, are involved in numerous biological processes in different malignancies such as RCC. This study aims to assess the expression and underlying mechanism of four circRNAs (hsa_circ_0020397, hsa_circ_0005986, hsa_circ_0003028, hsa_circ_0006990) with possible new roles in RCC. In the experimental step, we investigated the expression of these four circRNAs in our RCC samples using quantitative real-time polymerase chain reaction. In the bioinformatics step, the differential expressed mRNAs (DEmRNAs), and miRNAs (DEmiRNAs) were obtained from the GEO datasets using the GEO2R tool. A protein-protein interaction network was constructed using the STRING database, and hub genes were identified by Cytoscape. Molecular pathways associated with hub genes were detected using KEGG pathway enrichment analysis. Then, we utilized the ToppGene database to detect the relationships between DEmiRNAs and hub genes. Furthermore, interactions between circRNAs and DEmiRNAs were predicted by the StarBase and circinteractome databases. Finally, a circRNA-DEmiRNA-hub gene triple network was constructed. Our results revealed that the expression of hsa_circ_0020397, hsa_circ_0005986, and hsa_circ_0006990 was downregulated in RCC tissues. Moreover, these circRNAs had a significantly lower expression in patients with a history of kidney disease. Furthermore, hsa_circ_0003028 and hsa_circ_0006990 showed higher expression in the tumor of participants with Lymphovascular/perineural invasion and oncocytoma type, respectively. Based on bioinformatic results, 15 circRNA-DEmiRNA-hub gene ceRNA regulatory axes were predicted, which included three hub genes, five miRNAs, and four selected circRNAs. In conclusion, the current work is the first to emphasize the expression of the hsa_circ_0020397, hsa_circ_0005986, hsa_circ_0003028, and hsa_circ_0006990 in RCC patients presents a novel perspective on the molecular processes underlying the pathogenic mechanisms of RCC.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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