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An integrated analysis for long noncoding RNAs and microRNAs with the mediated competing endogenous RNA network in papillary renal cell carcinoma

机译:介导竞争性内源性RNA网络介导的长非编码RNA和微小RNA在乳头状肾细胞癌中的综合分析

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Papillary renal cell carcinoma (PRCC) is the second most common subtype of renal cell carcinoma, and it lacks effective therapeutic targets and prognostic molecular biomarkers. Attention has been increasingly focused on long noncoding RNAs (lncRNAs), which can act as competing endogenous RNA (ceRNA) to compete for shared microRNAs (miRNAs) in the tumorigenesis of human tumors. Therefore, to clarify the functional roles of lncRNAs with respect to the mediated ceRNA network in PRCC, we comprehensively integrated expression profiles, including data on mRNAs, lncRNAs and miRNAs obtained from 289 PRCC tissues and 32 normal tissues in The Cancer Genome Atlas. As a result, we identified 2,197 differentially expressed mRNAs (DEmRNAs) and 84 differentially expressed miRNAs (DEmiRNAs) using a threshold of |log2 (fold change)| >2.0 and an adjusted P -value <0.05. To determine the hub DEmRNAs that could be key target genes, a weighted gene co-expression network analysis was performed. A total of 28 hub DEmRNAs were identified as potential target genes. Seven dysregulated DEmiRNAs were identified that were significantly associated with the 28 hub potential target genes. In addition, we found that 16 differentially expressed lncRNAs were able to interact with the DEmiRNAs. Finally, we used Cytoscape software to visualize the ceRNA network with these differently expressed molecules. From these results, we believe that the identified ceRNA network plays a crucial role in the process of PRCC deterioration, and some of the identified genes are strongly related to clinical prognosis.
机译:乳头状肾细胞癌(PRCC)是肾细胞癌的第二大最常见亚型,它缺乏有效的治疗靶标和预后分子生物标志物。人们越来越关注长的非编码RNA(lncRNA),它可以作为竞争性内源RNA(ceRNA)在人类肿瘤的发生过程中竞争共享的microRNA(miRNA)。因此,为了阐明lncRNA在PRCC中介导的ceRNA网络方面的功能作用,我们全面整合了表达谱,包括从《癌症基因组图谱》的289个PRCC组织和32个正常组织中获得的mRNA,lncRNA和miRNA的数据。结果,我们使用| log2(倍数变化)|的阈值确定了2197个差异表达的mRNA(DEmRNA)和84个差异表达的miRNA(DEmiRNA)。 > 2.0,调整后的P值<0.05。为了确定可能是关键靶基因的中枢DEmRNA,进行了加权基因共表达网络分析。总共鉴定出28个毂DEmRNAs为潜在的靶基因。鉴定出七个失调的DEmiRNA与28个集线器潜在靶基因显着相关。此外,我们发现16个差异表达的lncRNA能够与DEmiRNA相互作用。最后,我们使用Cytoscape软件使用这些不同表达的分子来可视化ceRNA网络。根据这些结果,我们认为鉴定的ceRNA网络在PRCC恶化过程中起着至关重要的作用,并且某些鉴定的基因与临床预后密切相关。

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