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Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma

机译:肺腺癌和肺鳞状细胞癌中综合表达含Cerna网络的异常表达型号和MiRNA的综合分析

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Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate protein-coding gene expression. However, functional roles of lncRNA-mediated ceRNAs in LC are insufficiently understood. To classify the specific mechanism of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), we comprehensively compared the expression profiles of mRNAs, lncRNAs and miRNAs obtained from 509 LUAD, 473 LUSC tissues and 49 adjacent non-cancerous lung tissues, based on The Cancer Genome Atlas (TCGA). After screening for differently expressed (DE) mRNAs, DEmiRNAs, DElncRNAs and weighted gene co-expression network analysis (WGCNA) (|log2FC| > 2.0 and an adjusted p value 0.9), as well as 8 different protein-protein interactions. Gene ontology (GO) analysis mainly associated with cell proliferation. KEGG pathway enrichment analyses most partly associated with metabolism pathway and cytokine-cytokine receptor interaction. Finally, the dysregulated lncRNA-miRNA-ceRNA network was constructed based on correlation analyses and a total of 62 dysregulated lncRNAs, 28 DEmRNAs and 18 DEmiRNAs were involved. The most significant lncRNAs included DElncRNAs, LINC00641 and AC004947.2, miRNAs included miR-6860, miR-1285-3p, miR-767-3p and miR-7974, mRNAs included MAP3K3, FGD3 and ATP1B2. Then we analyzed and described the potential characteristics of biological function and pathological roles of the LUAD and LUSC ceRNA co-regulatory network. Our findings revealed ceRNA network will be beneficial for promoting the understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of LUAD and LUSC.
机译:肺癌(LC)仍然是全世界癌症相关死亡的主要原因,预后仍然是全世界贫困。目前,长期的非编码RNA(LNCRNA)被认为是竞争内源性RNA(CERNA)网络的一部分,作为天然小罗脉(miRNA)海绵来调节蛋白质编码基因表达。然而,LNCRNA介导的CERNAs的功能作用被理解不足。为了分类肺腺癌(鹿饼)和肺鳞状细胞癌(LUSC)的特定机制,我们综合地比较了从509卢拉,473个LUSC组织和49个相邻的非癌肺组织获得的MRNA,LNCRNA和MIRNA的表达谱在癌症基因组地图集(​​TCGA)。在筛选不同表达(DE)mRNA,DemiRNA,DEMIRNCRNA和加权基因共表达网络分析(WGCNA)(| LOG2FC |> 2.0和调节的P值0.9),以及8个不同的蛋白质 - 蛋白质相互作用。基因本体(GO)分析主要与细胞增殖相关。 Kegg途径富集分析大多数与代谢途径和细胞因子 - 细胞因子受体相互作用相关。最后,基于相关分析构建了失调的LNCRNA-miRNA-Cerna网络,并且涉及总共62个失调的LNCRNA,28个DEMRNA和18个DemiRNA。最重要的LNCRNA包括Delncrnas,LINC00641和AC004947.2,MIRNA包括MIR-6860,MIR-1285-3P,MIR-767-3P和MIR-7974,MRNA包括MAP3K3,FGD3和ATP1B2。然后我们分析并描述了鹿士和LUSC CERNA共规范网络的生物功能和病理作用的潜在特征。我们的调查结果透露了Cerna网络将有利于促进LNCRNA介导的Cerna调节机制在鹿达和LUSC发病机制中的理解。

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