期刊
CLINICA CHIMICA ACTA
卷 531, 期 -, 页码 25-35出版社
ELSEVIER
DOI: 10.1016/j.cca.2022.03.010
关键词
Gastric cancer; Exosomes; miRNAs; Target genes; Biomarkers; Diagnosis; Treatment
资金
- Special Research Project of Lanzhou University Serving the Economic Social Development of Gansu Province [054000282]
- Lanzhou Talent Innovation and Entrepre-neurship Project [2020-RC-38]
- Fundamental Research Funds for the Central Uni-versities [lzujbky-2020-kb14]
- Major Science and Technology Spe-cial Project of Gansu Province [20ZD7FA003]
This study identified differentially expressed microRNAs (DEMs) in serum exosomes between gastric cancer (GC) patients and healthy individuals, and predicted their target genes and pathways. Among them, three DEMs showed excellent diagnostic ability and eight target genes demonstrated perfect prognostic ability. The findings provide new targets for the diagnosis and treatment of GC.
Aims: To explore the differentially expressed microRNAs (DEMs) in serum exosomes between gastric cancer (GC) patients and healthy people to provide new targets for GC diagnosis and treatment. Methods: DEMs in serum exosomes were screened by microarray analysis and verified by RT-qPCR. The target genes of DEMs were predicted using Targetscan and miRTarBase databases and then overlapped with the DEGs of STAD in TCGA database to obtain the common target genes. Biological function and pathway enrichment were analyzed using enrichr database, and a PPI network was constructed using STRING database. The potential target genes of DEMs were identified using the MCODE and cytoHubba plug-ins of Cytoscape software. Survival analysis were conducted using KMP and TCGA databases. The DEMs-target genes-pathways network was established using Cytoscape software. A Cox proportional hazards regression model formed by optimal target genes was used to access the reliability of this prediction process.Results: Three serum exosomal microRNAs (exo-miRNAs, has-miR-1273 g-3p, has-miR-4793-3p, has-miR-619-5p) were identified to be highly expressed in GC patients and performed excellent diagnostic ability. A total of 179 common target genes related to GC were predicted. They were mainly involved in 79 GO functional annotations and 6 KEGG pathways. The prognostic model formed by eight optimal target genes (TIMELESS, DNA2, MELK, CHAF1B, DBF4, PAICS, CHEK1 and NCAPG2), which were low-risk genes of GC, also performed perfect prognostic ability.Conclusions: Serum exosomal has-miR-1273 g-3p, has-miR-4793-3p and has-miR-619-5p can be used as new diagnostic biomarkers for GC. Among them, serum exosomal hsa-miR-1273 g-3p / hsa-miR-4793-3p targets MELK and hsa-miR-619-5p targets NCAPG2 were identified as novel mechanisms involved in the development of GC. It provides new targets for the diagnosis and treatment of GC by exo-miRNAs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据