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Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

机译:使用基本的miRNA-lncRNA网络鉴定与癌症相关的miRNA-lncRNA生物标志物

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摘要

LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved in many complex diseases; lncRNAs are often the targets of miRNAs in the indirect regulation of gene expression. Numerous studies have indicated that miRNA-lncRNA interactions are closely related to the occurrence and development of cancers. Thus, it is important to develop an effective method for the identification of cancer-related miRNA-lncRNA interactions. In this study, we compiled 155653 experimentally validated and predicted miRNA-lncRNA associations, which we defined as basic interactions. We next constructed an individual-specific miRNA-lncRNA network (ISMLN) for each cancer sample and a basic miRNA-lncRNA network (BMLN) for each type of cancer by examining the expression profiles of miRNAs and lncRNAs in the TCGA (The Cancer Genome Atlas) database. We then selected potential miRNA-lncRNA biomarkers based on the BLMN. Using this method, we identified cancer-related miRNA-lncRNA biomarkers and modules specific to a certain cancer. This method of profiling will contribute to the diagnosis and treatment of cancers at the level of gene regulatory networks.
机译:LncRNA是调节性非编码RNA,在许多生物学过程中都起着至关重要的作用。 lncRNA的失调被认为与许多复杂的疾病有关。 lncRNA通常是miRNA间接调控基因表达的靶标。大量研究表明,miRNA-lncRNA相互作用与癌症的发生和发展密切相关。因此,重要的是开发一种有效的方法来鉴定与癌症相关的miRNA-lncRNA相互作用。在这项研究中,我们编辑了155653个经过实验验证和预测的miRNA-lncRNA关联,我们将其定义为基本相互作用。接下来,我们通过检查TCGA(癌症基因组图谱)中miRNA和lncRNA的表达谱,为每种癌症样品构建了个体特异性的miRNA-lncRNA网络(ISMLN),并为每种癌症构建了基本的miRNA-lncRNA网络(BMLN)。 )数据库。然后,我们根据BLMN选择了潜在的miRNA-lncRNA生物标记。使用这种方法,我们确定了特定癌症的癌症相关miRNA-lncRNA生物标记物和模块。这种分析方法将有助于在基因调节网络水平上诊断和治疗癌症。

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