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A circular RNAs dataset landscape reveals potential signatures for the detection and prognosis of early-stage lung adenocarcinoma

机译:圆形RNA数据集景观揭示了早期肺腺癌的检测和预后的潜在签名

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This study aimed to identify potential circular ribonucleic acid (circRNA) signatures involved in the pathogenesis of early-stage lung adenocarcinoma (LAC). The circRNA sequencing dataset of early-stage LAC was downloaded from the Gene Expression Omnibus database. First, the differentially expressed circRNAs (DEcircRNAs) between tumour and non-tumour tissues were screened. Then, the corresponding miRNAs and their target genes were predicted. In addition, prognosis-related genes were identified using survival analysis and further used to build a network of competitive endogenous RNAs (ceRNAs; DEcircRNA–miRNA–mRNA). Finally, the functional analysis and drug–gene interaction analysis of mRNAs in the ceRNA network was performed. A total of 35 DEcircRNAs (30 up-regulated and 5 down-regulated circRNAs) were identified. Moreover, 135 DEcircRNA–miRNA and 674 miRNA–mRNA pairs were predicted. The survival analysis of these target mRNAs revealed that 60 genes were significantly associated with survival outcomes in early-stage LAC. Of these, high levels of PSMA 5 and low levels of NAMPT, CPT 2 and TNFSF11 exhibited favourable prognoses. In addition, the DEcircRNA–miRNA–mRNA network was constructed, containing 5 miRNA–circRNA (hsa_circ_0092283/hsa-miR-762/hsa-miR-4685-5p; hsa_circ_0070610/hsa-let-7a-2-3p/hsa-miR-3622a-3p; hsa_circ_0062682/hsa-miR-4268) and 60 miRNA–mRNA pairs. Functional analysis of the genes in the ceRNA network showed that they were primarily enriched in the Wnt signalling pathway. Moreover, PSMA 5, NAMPT, CPT 2 and TNFSF11 had strong correlations with different drugs. Three circRNAs (hsa_circ_0062682, hsa_circ_0092283 and hsa_circ_0070610) might be potential novel targets for the diagnosis of early-stage LAC.
机译:本研究旨在鉴定涉及早期肺腺癌发病机制(LAC)的潜在圆形核糖核酸(CircrNA)签名。从基因表达式Omnibus数据库下载早期Lac的Circrna测序数据集。首先,筛选肿瘤和非肿瘤组织之间的差异表达的Circrnas(Defircrnas)。然后,预测相应的miRNA及其靶基因。此外,使用存活分析鉴定预后相关基因,并进一步用于构建竞争内源性RNA(CERNAS; DECIRCRNA-mIRNA-mRNA)的网络。最后,进行了Cerna网络中MRNA的功能分析和药物 - 基因相互作用分析。共鉴定了总共35个Defircrnas(30个上调和5个下调Circrnas)。此外,预测了135个DecircrNA-miRNA和674 miRNA-mRNA对。这些靶MRNA的存活分析显示,早期LAC中的60个基因与存活结果显着相关。其中,高水平的PSMA 5和低水平的命名,CPT 2和TNFSF11表现出良好的预测。此外,构建了Defircrna-miRNA-mRNA网络,含有5 miRNA-circrna(Hsa_circ_0092283 / hsa-mir-762 / hsa-mir-4685-5p; hsa_circ_0070610 / hsa-let-7a-2-3p / hsa-mir -3622A-3P; HSA_CIRC_0062682 / HSA-MIR-4268)和60 miRNA-mRNA对。 Cerna网络中基因的功能分析表明它们主要富含WNT信号通路。此外,PSMA 5,Nampt,CPT 2和TNFSF11与不同的药物具有很强的相关性。三个CircRNA(HSA_CIRC_0062682,HSA_CIRC_0092283和HSA_CIRC_0070610)可能是诊断早期LAC的潜在新靶点。

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