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A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis

机译:一种基于网络的新策略用于预测肿瘤发生中潜在的miRNA-mRNA相互作用。

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摘要

MicroRNA (miRNA) plays an important role in the degradation and inhibition of mRNAs and is a kind of essential drug targets for cancer therapy. To facilitate the clinical cancer research, we proposed a network-based strategy to identify the cancer-related miRNAs and to predict their targeted genes based on the gene expression profiles. The strategy was validated by using the data sets of acute myeloid leukemia (AML), breast invasive carcinoma (BRCA), and kidney renal clear cell carcinoma (KIRC). The results showed that in the top 20 miRNAs ranked by their degrees, 90.0% (18/20), 70.0% (14/20), and 70.0% (14/20) miRNAs were found to be associated with the cancers for AML, BRCA, and KIRC, respectively. The KEGG pathways and GO terms enriched with the genes that were predicted as the targets of the cancer-related miRNAs were significantly associated with the biological processes of cancers. In addition, several genes, which were predicted to be regulated by more than three miRNAs, were identified to be the potential drug targets annotated by using the human protein atlas database. Our results demonstrated that the proposed strategy can be helpful for predicting the miRNA-mRNA interactions in tumorigenesis and identifying the cancer-related miRNAs as the potential drug targets.
机译:微小RNA(miRNA)在mRNA的降解和抑制中起着重要作用,并且是癌症治疗的一种基本药物靶标。为了促进临床癌症研究,我们提出了一种基于网络的策略来识别与癌症相关的miRNA,并根据基因表达谱预测其靶向基因。通过使用急性髓细胞性白血病(AML),乳腺浸润性癌(BRCA)和肾肾透明细胞癌(KIRC)的数据集验证了该策略。结果显示,在按度排序的前20个miRNA中,发现90.0%(18/20),70.0%(14/20)和70.0%(14/20)的miRNA与AML癌症相关, BRCA和KIRC分别。 KEGG途径和GO术语富含被预测为癌症相关miRNA靶标的基因,与癌症的生物学过程密切相关。此外,通过使用人类蛋白质图谱数据库,可以预测一些基因预计被三个以上的miRNA调控,它们被认为是潜在的药物靶标。我们的结果表明,提出的策略可有助于预测肿瘤发生中的miRNA-mRNA相互作用,并将与癌症相关的miRNAs确定为潜在的药物靶标。

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