Zhu Junfeng, Xu Ying, Liu Shanshan, Qiao Li, Sun Jianqiang, Zhao Qi
Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, China.
Office of Drug Clinical Trials, Affiliated Hospital of Guilin Medical University, Guilin, China.
Front Bioeng Biotechnol. 2020 Mar 10;8:176. doi: 10.3389/fbioe.2020.00176. eCollection 2020.
MicroRNAs (miRNAs) are a kind of non-coding RNA (ncRNA) that regulate the expression of target genes and play a role in the occurrence and development of cancers. Colon cancer (COAD) is the second most common cause of cancer-related mortality. However, the prognostic value of miRNAs in COAD is still confusing. In this study, we obtain miRNAs and messenger RNAs (mRNAs) expression profiles of COAD from the Cancer Genome Atlas (TCGA) database. After preliminary data screening and preprocessing, we acquire the expression data of 894 miRNAs and 17,019 mRNAs. Then, compared with the normal samples, 39 upregulated miRNAs and 54 downregulated miRNAs are identified by differential expression analysis. Furthermore, we obtain 1,487 upregulated mRNAs and 2,847 downregulated mRNAs. We confirm nine key miRNAs related to the survival rate of COAD patients. Moreover, by using bioinformatics methods, we get 461 common genes from both the target genes of these nine key miRNAs and differentially expressed mRNAs. Through analyzing the protein-protein interaction (PPI) network of these 461 common genes and survival analysis, we confirm five hub genes as promising biomarkers for COAD prognosis. It is worth mentioning that no previous reports have found that PGR and KCNB1 are related to COAD. We expect these key miRNAs and hub genes will provide a new way for the study of COAD.
微小RNA(miRNA)是一类非编码RNA(ncRNA),可调节靶基因的表达,并在癌症的发生和发展中发挥作用。结肠癌(COAD)是癌症相关死亡的第二大常见原因。然而,miRNA在COAD中的预后价值仍不明确。在本研究中,我们从癌症基因组图谱(TCGA)数据库中获取了COAD的miRNA和信使RNA(mRNA)表达谱。经过初步的数据筛选和预处理,我们获得了894个miRNA和17019个mRNA的表达数据。然后,通过差异表达分析,与正常样本相比,鉴定出39个上调的miRNA和54个下调的miRNA。此外,我们获得了1487个上调的mRNA和2847个下调的mRNA。我们确认了9个与COAD患者生存率相关的关键miRNA。此外,通过生物信息学方法,我们从这9个关键miRNA的靶基因和差异表达的mRNA中获得了461个共同基因。通过分析这461个共同基因的蛋白质-蛋白质相互作用(PPI)网络和生存分析,我们确认了5个中心基因作为COAD预后有前景的生物标志物。值得一提的是,以前没有报道发现孕激素受体(PGR)和钾离子通道蛋白亚基β1(KCNB1)与COAD有关。我们期望这些关键的miRNA和中心基因将为COAD的研究提供一条新途径。