Construction of an exosome-associated miRNA-mRNA regulatory network and validation of FYCO1 and miR-17-5p as potential biomarkers associated with ovarian cancer
机构：[1]Department of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.[2]Department of Traditional Chinese Medicine, Guangdong Second Provincial General Hospital, Guangzhou, China.[3]School of Information Engineering and Business Management, Guangdong Nanhua Vocational College of Industry and Commerce, Guangzhou, China.
The occurrence and development of several human physiological processes are significantly influenced by the competing endogenous RNA (ceRNA) network. The aim of the present study was to construct a microRNA (miRNA)-mRNA network associated with exosomes in ovarian cancer (OV), and experimental validation of key target genes.By exploring the Gene Expression Omnibus (GEO) database, we analyzed the RNAs from 226 samples to identify differentially expressed miRNAs (DEMs) and genes (DEGs) that showed differential expression as OV progressed. Subsequently, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on the DEGs. Furthermore, we constructed a miRNA-mRNA network that pertains to exosomes in OV using DEMs and DEGs. Moreover, we validated the expression levels of mRNAs in the miRNA-mRNA network using Gene Expression Profiling Interactive Analysis (GEPIA2). Ultimately, luciferase reporter assay was used to identify the potential target relationship between FYVE and coiled-coil domain containing 1 (FYCO1) and miRNAs.Our analysis screened a total of 14 DEMs and 101 DEGs, and the DEGs were mainly enriched in DNA replication or repair, amino acid biosynthesis and carbon metabolism. Furthermore, a miRNA-mRNA network was constructed including 3 miRNAs (hsa-miR-17-5p, hsa-miR-20b-5p and hsa-miR-20a-5p) and 2 mRNAs, FYCO1 and purine rich element binding protein A (PURA). Finally, the 2 mRNAs in this miRNA-mRNA network were verified by GEPIA2 using The Cancer Genome Atlas (TCGA) database. Among them, only FYCO1 showed significant different expression of mRNA in OV and normal tissue, while the prognosis of FYCO1 in OV remains controversial due to different database. Interestingly, FYCO1 was identified as the target of hsa-miR-17-5p.By constructing a novel network of miRNA-mRNA, we can gain new understanding of the molecular mechanisms that drive exosomes in OV. Targeting FYCO1, which originates from exosomes, may hold promise as a diagnostic marker for OV.2024 Translational Cancer Research. All rights reserved.
基金：
This research was supported by the Doctoral Workstation Project of Guangdong Second Provincial General Hospital (No. 2019BSGZ017) and the Science and Technology Planning Project of Guangzhou (No. 202102020799).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类|4 区医学
小类|4 区肿瘤学
最新[2025]版：
大类|4 区医学
小类|4 区肿瘤学
第一作者：
第一作者机构：[1]Department of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.[*1]Department of Clinical Research, Guangdong Second Provincial General Hospital, 466 Middle Xingang Road, Haizhu District, Guangzhou 510317, China
通讯作者：
通讯机构：[1]Department of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.[*1]Department of Clinical Research, Guangdong Second Provincial General Hospital, 466 Middle Xingang Road, Haizhu District, Guangzhou 510317, China
推荐引用方式(GB/T 7714)：
Chen Li,Lai Linglin,Zheng Lingbo,et al.Construction of an exosome-associated miRNA-mRNA regulatory network and validation of FYCO1 and miR-17-5p as potential biomarkers associated with ovarian cancer[J].Translational Cancer Research.2024,13(2):1052-1067.doi:10.21037/tcr-23-940.
APA：
Chen Li,Lai Linglin,Zheng Lingbo,Wang Youzhi,Lu Huiqin&Chen Yan.(2024).Construction of an exosome-associated miRNA-mRNA regulatory network and validation of FYCO1 and miR-17-5p as potential biomarkers associated with ovarian cancer.Translational Cancer Research,13,(2)
MLA：
Chen Li,et al."Construction of an exosome-associated miRNA-mRNA regulatory network and validation of FYCO1 and miR-17-5p as potential biomarkers associated with ovarian cancer".Translational Cancer Research 13..2(2024):1052-1067
