Feng Zongfeng, Li Leyan, Tu Yi, Shu Xufeng, Zhang Yang, Zeng Qingwen, Luo Lianghua, Wu Ahao, Chen Wenzheng, Cao Yi, Li Zhengrong
Department of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China.
Laboratory of Digestive Surgery, Nanchang University, Nanchang, China.
Front Oncol. 2022 Jan 27;11:779706. doi: 10.3389/fonc.2021.779706. eCollection 2021.
Circular RNAs (circRNAs) have been recently proposed as hub molecules in various diseases, especially in tumours. We found that circRNAs derived from ribonuclease P RNA component H1 (RPPH1) were highly expressed in colorectal cancer (CRC) samples from Gene Expression Omnibus (GEO) datasets.
We sought to identify new circRNAs derived from RPPH1 and investigate their regulation of the competing endogenous RNA (ceRNA) and RNA binding protein (RBP) networks of CRC immune infiltration.
The circRNA expression profiles miRNA and mRNA data were extracted from the GEO and The Cancer Genome Atlas (TCGA) datasets, respectively. The differentially expressed (DE) RNAs were identified using R software and online server tools, and the circRNA-miRNA-mRNA and circRNA-protein networks were constructed using Cytoscape. The relationship between targeted genes and immune infiltration was identified using the GEPIA2 and TIMER2 online server tools.
A ceRNA network, including eight circRNAs, five miRNAs, and six mRNAs, was revealed. Moreover, a circRNA-protein network, including eight circRNAs and 49 proteins, was established. The targeted genes, ENOX1, NCAM1, SAMD4A, and ZC3H10, are closely related to CRC tumour-infiltrating macrophages.
We analysed the characteristics of circRNA from RPPH1 as competing for endogenous RNA binding miRNA or protein in CRC macrophage infiltration. The results point towards the development of a new diagnostic and therapeutic paradigm for CRC.
环状RNA(circRNAs)最近被认为是多种疾病尤其是肿瘤中的关键分子。我们发现来自核糖核酸酶P RNA组分H1(RPPH1)的circRNAs在基因表达综合数据库(GEO)数据集中的结直肠癌(CRC)样本中高表达。
我们试图鉴定源自RPPH1的新circRNAs,并研究它们对CRC免疫浸润的竞争性内源RNA(ceRNA)和RNA结合蛋白(RBP)网络的调控。
分别从GEO和癌症基因组图谱(TCGA)数据集中提取circRNA表达谱、miRNA和mRNA数据。使用R软件和在线服务器工具鉴定差异表达(DE)RNA,并使用Cytoscape构建circRNA-miRNA-mRNA和circRNA-蛋白质网络。使用GEPIA2和TIMER2在线服务器工具鉴定靶向基因与免疫浸润之间的关系。
揭示了一个ceRNA网络,包括8个circRNAs、5个miRNAs和6个mRNAs。此外,建立了一个circRNA-蛋白质网络,包括8个circRNAs和49个蛋白质。靶向基因ENOX1、NCAM1、SAMD4A和ZC3H10与CRC肿瘤浸润巨噬细胞密切相关。
我们分析了RPPH1来源的circRNA在CRC巨噬细胞浸润中作为竞争性内源RNA结合miRNA或蛋白质的特征。结果为CRC新的诊断和治疗模式的发展指明了方向。