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首页> 美国卫生研究院文献>International Journal of Molecular and Cellular Medicine >Analysis of Differential Expression of microRNAs and Their Target Genes in Prostate Cancer: A Bioinformatics Study on Microarray Gene Expression Data
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Analysis of Differential Expression of microRNAs and Their Target Genes in Prostate Cancer: A Bioinformatics Study on Microarray Gene Expression Data

机译：微小RNA及其靶基因在前列腺癌中的差异表达分析：微阵列基因表达数据的生物信息学研究

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摘要

Early diagnosis of prostate cancer (PCa) as the second most common cancer in men is not associated with precise and specific results. Thus, alternate methods with high specificity and sensitivity are needed for accurate and timely detection of PCa. MicroRNAs regulate the molecular pathways involved in cancer by targeting multiple genes. The aberrant expression of the microRNAs has been reported in different cancer types including PCa. In this bioinformatics study, we studied differential expression profiles of microRNAs and their target genes in four PCa gene expression omnibus (GEO) databases. PCa diagnostic biomarker candidates were investigated using bioinformatics tools for analysis of gene expression data, microRNA target prediction, pathway and GO annotation, as well as ROC curves. The results of this study revealed significant changes in the expression of 14 microRNAs and 40 relevant target genes, which ultimately composed four combination panels (miR- 375+96+663/ miR- 133b+143- 3p + 205/ + + / + + ) as candidate biomarkers capable to distinguish between PCa tumor samples and normal prostate tissue samples. These biomarkers may be suggested for a more accurate early diagnosis of PCa patients along with current diagnostic tests.
机译：前列腺癌（PCa）作为男性第二常见的癌症的早期诊断与准确而具体的结果无关。因此，需要具有高特异性和灵敏度的替代方法来准确，及时地检测PCa。 MicroRNA通过靶向多个基因来调节与癌症有关的分子途径。已经报道了在包括PCa在内的不同癌症类型中微小RNA的异常表达。在这项生物信息学研究中，我们在四个PCa基因表达综合（GEO）数据库中研究了microRNA及其靶基因的差异表达谱。使用生物信息学工具研究了PCa诊断性生物标志物候选物，以分析基因表达数据，microRNA靶标预测，途径和GO注释以及ROC曲线。这项研究的结果揭示了14个microRNA和40个相关靶基因表达的显着变化，这些基因最终组成了四个组合面板（miR- 375 + 96 + 663 / miR- 133b + 143- 3p + 205 / + + + + + ）作为能够区分PCa肿瘤样品和正常前列腺组织样品的候选生物标志物。这些生物标志物可能被建议用于PCa患者的更准确的早期诊断以及当前的诊断测试。

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