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通过深度测序和生物信息学分析鉴定鼻咽癌中的lncRNA/circRNA-miRNA-mRNA网络

Identification of a lncRNA/circRNA-miRNA-mRNA network in Nasopharyngeal Carcinoma by deep sequencing and bioinformatics analysis.

作者信息

Liu Shilei, Li Xiaoxiao, Xie Qingming, Zhang Sai, Liang Xujun, Li Shisheng, Zhang Pengfei

机构信息

NHC Key Laboratory of Cancer Proteomics, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China, 410008.

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China, 410008.

出版信息

J Cancer. 2024 Feb 11;15(7):1916-1928. doi: 10.7150/jca.91546. eCollection 2024.

DOI:10.7150/jca.91546
PMID:38434987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10905391/
Abstract

Accumulating evidence indicates that non-coding RNAs (ncRNA), including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), can function as competitive endogenous RNAs (ceRNAs) by binding to microRNAs (miRNAs) and regulating host gene expression at the transcriptional or post-transcriptional level. Dysregulation in ceRNA network regulation has been implicated in the occurrence and development of cancer. However, the lncRNA/circRNA-miRNA-mRNA regulatory network is still lacking in nasopharyngeal carcinoma (NPC). Differentially expressed genes (DEGs) were obtained from our previous sequencing data and Gene Expression Omnibus (GEO). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) were used to explore the biological functions of these common DEGs. Through a series of bioinformatic analyses, the lncRNA/circRNA-miRNA-mRNA network was established. In additional, the external data GSE102349 was used to test the prognostic value of the hub mRNAs through the Kaplan-Meier method. We successfully constructed a lncRNA/circRNA-miRNA-mRNA network in NPC, consisting of 16 lncRNAs, 6 miRNAs, 3 circRNAs and 10 mRNAs and found that three genes (TOP2A, ZWINT, TTK) were significantly associated with overall survival time (OS) in patients. The regulatory network revealed in this study may help comprehensively elucidate the ceRNA mechanisms driving NPC, and provide novel candidate biomarkers for evaluating the prognosis of NPC.

摘要

越来越多的证据表明,非编码RNA(ncRNA),包括长链非编码RNA(lncRNA)和环状RNA(circRNA),可以通过与微小RNA(miRNA)结合并在转录或转录后水平调节宿主基因表达,从而作为竞争性内源RNA(ceRNA)发挥作用。ceRNA网络调控失调与癌症的发生和发展有关。然而,鼻咽癌(NPC)中lncRNA/circRNA-miRNA-mRNA调控网络仍然缺乏。从我们之前的测序数据和基因表达综合数据库(GEO)中获得了差异表达基因(DEG)。利用基因本体论(GO)和京都基因与基因组百科全书通路(KEGG)来探索这些常见DEG的生物学功能。通过一系列生物信息学分析,建立了lncRNA/circRNA-miRNA-mRNA网络。此外,利用外部数据GSE102349通过Kaplan-Meier方法检验枢纽mRNA的预后价值。我们成功构建了鼻咽癌中的lncRNA/circRNA-miRNA-mRNA网络,该网络由16个lncRNA、6个miRNA、3个circRNA和10个mRNA组成,并发现三个基因(TOP2A、ZWINT、TTK)与患者的总生存时间(OS)显著相关。本研究揭示的调控网络可能有助于全面阐明驱动鼻咽癌的ceRNA机制,并为评估鼻咽癌的预后提供新的候选生物标志物。

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