Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets.
Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets.
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DOI：
10.1038/srep35350
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发表时间：
2016-10-13
影响因子：
4.6
通讯作者：
Lee H
中科院分区：
文献类型：
--
作者：
Jin D;Lee H
MicroRNAs(MiRNAs)是调节靶基因表达的非编码小RNA，参与肿瘤的发生和发展。尽管已鉴定出许多与癌症相关的miRNAs，但它们的功能影响可能会有所不同，这取决于它们对其他miRNAs和基因的调节作用。在这项研究中，我们提出了一种新的方法来确定候选癌症相关miRNAs的优先顺序，这些miRNAs可能影响整个生物网络中其他miRNAs和基因的表达。为此，我们提出了三个重要的特征：一个miRNA在多个癌症样本中的平均表达，一个miRNA的表达与所有基因表达的绝对相关值的平均值，以及预测的miRNA靶基因的数量。使用顺序统计将这三个特征集成在一起。通过将提出的方法应用于四种癌症类型，胶质母细胞瘤、卵巢癌、前列腺癌和乳腺癌，我们优先选择与癌症相关的候选miRNAs，并确定它们在癌症相关途径中的功能作用。所提出的方法可用于识别在推动癌症发展中发挥关键作用的miRNAs，并阐明癌症治疗的新的潜在治疗靶点。
MicroRNAs (miRNAs) are small non-coding RNAs regulating the expression of target genes, and they are involved in cancer initiation and progression. Even though many cancer-related miRNAs were identified, their functional impact may vary, depending on their effects on the regulation of other miRNAs and genes. In this study, we propose a novel method for the prioritization of candidate cancer-related miRNAs that may affect the expression of other miRNAs and genes across the entire biological network. For this, we propose three important features: the average expression of a miRNA in multiple cancer samples, the average of the absolute correlation values between the expression of a miRNA and expression of all genes, and the number of predicted miRNA target genes. These three features were integrated using order statistics. By applying the proposed approach to four cancer types, glioblastoma, ovarian cancer, prostate cancer, and breast cancer, we prioritized candidate cancer-related miRNAs and determined their functional roles in cancer-related pathways. The proposed approach can be used to identify miRNAs that play crucial roles in driving cancer development, and the elucidation of novel potential therapeutic targets for cancer treatment.
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