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Downregulations of miR-449a and miR-145-5p Act as Prognostic Biomarkers for Endometrial Cancer

机译:miR-449a和miR-145-5p的下调起到子宫内膜癌的预后生物标志物

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This investigation aimed to explore the underlying prognosis-associated microRNA (miRNA) biomarkers in endometrial cancer. Homo sapiens miRNA data set GSE35794 and miRNA data in TGGA database were downloaded and applied to screen the differentially expressed miRNAs (DE-miRNAs) using unpaired t-test in limma package in R. Basing on Venn analysis, the overlapped DE-miRNAs were screened and their potential targets were predicted according to miRWalk followed by target functional enrichment analyses and protein–protein interaction network visualized using Cytoscape. Finally, according to the information provided by the The Cancer Genome Atlas (TCGA) database, correlations between miRNAs or targets and patient prognosis were analyzed by survival package in R. A total of 24 overlapped DE-miRNAs were identified between endometrioid endometrial cancer samples and normal samples. Then, the miRNA-target regulatory network was constructed, including 11 upregulated miRNAs (e.g., miR-200a, miR-200b, and miR-200c) and five downregulated miRNAs (e.g., miR-449a, miR-145-5p, and miR-145-3p). Lymphocyte enhancer factor-1 (LEF1) was predicted to be a target of miR-449a and SOX11 was a target of miR-145-5p. Functional enrichment analyses of these targets were significantly related to the biological process of ‘‘negative regulation of transcription from RNA polymerase II promoter’’ and ‘‘positive regulation of transcription from RNA polymerase II promoter’’ (e.g., NOTCH1, LEF1, and SOX11). In addition, survival analysis showed that miR-449a, miR-145-5p, and LEF1 were approximately correlated with the overall survival prognosis of endometrial cancer patients. Downregulations of miR-449a and miR-145-5p might be involved in the pathogenesis of endometrial cancer and could act as prognostic biomarkers for endometrial cancer patients.
机译:这项调查旨在探讨子宫内膜癌中的潜在预后相关的microRNA(miRNA)生物标志物。 Homo Sapiens MiRNA数据集GSE35794和TGGA数据库中的MiRNA数据都被下载并应用于筛选差异表达的MiRNA(De-MiRNA)在R.在R.Cenn分析上基于Rimma包中使用UnipaMa Packing进行差异表达的T检验,筛选重叠的de-miRNA并根据MiRWalk预测其潜在的目标,然后通过使用Cytoscape可视化的目标功能性富集分析和蛋白质 - 蛋白质相互作用网络。最后,根据癌症基因组Atlas(TCGA)数据库提供的信息,通过R中的存活包装分析miRNA或靶标和患者预后的相关性。在子宫内膜子宫内膜癌样品中,共鉴定了总共24个重叠的de-miRNA。正常样本。然后,构建miRNA-靶标调节网络,其中包括11个上调的miRNA(例如,miR-200a,miR-200b和miR-200c)和五个下调的miRNA(例如,miR-449a,miR-145-5p和mir -145-3p)。预测淋巴细胞增强子因子-1(lef1)是miR-449a的靶标,SOx11是miR-145-5p的靶标。这些靶标的功能性富集分析与RNA聚合酶II启动子的RNA聚合酶II启动子'和“RNA聚合酶II启动子的转录的正调节”(例如,Notch1,Lef1和Sox11)的生物过程显着相关。 )。此外,存活分析表明,miR-449a,miR-145-5p和lef1大致与子宫内膜癌患者的总生存预后相关。 miR-449a和miR-145-5p的下调可能参与子宫内膜癌的发病机制,并可作为子宫内膜癌患者的预后生物标志物。

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