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首页> 外文期刊>Cellular Physiology and Biochemistry >How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis
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How Long Non-Coding RNAs and MicroRNAs Mediate the Endogenous RNA Network of Head and Neck Squamous Cell Carcinoma: a Comprehensive Analysis

机译：多长时间非编码RNA和MicroRNA介导头颈部鳞状细胞癌的内源性RNA网络：综合分析。

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Background/Aims Long non-coding RNAs (lncRNAs) act as competing endogenous RNAs (ceRNAs) to compete for microRNAs (miRNAs) in cancer metastasis. Head and neck squamous cell carcinoma (HNSCC) is one of the most common human cancers and rare biomarkers could predict the clinical prognosis of this disease and its therapeutic effect. Methods Weighted gene co-expression network analysis (WGCNA) was performed to identify differentially expressed mRNAs (DEmRNAs) that might be key genes. GO enrichment and protein–protein interaction (PPI) analyses were performed to identify the principal functions of the DEmRNAs. An lncRNA-miRNA-mRNA network was constructed to understand the regulatory mechanisms in HNSCC. The prognostic signatures of mRNAs, miRNAs, and lncRNAs were determined by Gene Expression Profiling Interactive Analysis (GEPIA) and using Kaplan–Meier survival curves for patients with lung squamous cell carcinoma. Results We identified 2,023 DEmRNAs, 1,048 differentially expressed lncRNAs (DElncRNAs), and 82 differentially expressed miRNAs (DEmiRNAs). We found that eight DEmRNAs, 53 DElncRNAs, and 16 DEmiRNAs interacted in the ceRNA network. Three ceRNAs (HCG22, LINC00460 and STC2) were significantly correlated with survival. STC2 transcript levels were significantly higher in tumour tissues than in normal tissues, and the STC2 expression was slightly upregulated at different stages of HNSCC. Conclusion LINC00460, HCG22 and STC2 exhibited aberrant levels of expression and may participate in the pathogenesis of HNSCC.
机译：背景/目的长非编码RNA（lncRNA）充当竞争性内源RNA（ceRNA）竞争癌症转移中的microRNA（miRNA）。头颈部鳞状细胞癌（HNSCC）是最常见的人类癌症之一，稀有的生物标志物可以预测这种疾病的临床预后及其治疗效果。方法进行加权基因共表达网络分析（WGCNA），以鉴定可能是关键基因的差异表达mRNA（DEmRNA）。进行了GO富集和蛋白质-蛋白质相互作用（PPI）分析，以鉴定DEmRNA的主要功能。构建了lncRNA-miRNA-mRNA网络以了解HNSCC中的调控机制。通过基因表达谱交互式分析（GEPIA）并使用Kaplan–Meier生存曲线确定肺鳞状细胞癌患者的mRNA，miRNA和lncRNA的预后特征。结果我们鉴定了2,023个DEmRNA，1,048个差异表达的lncRNA（DElncRNA）和82个差异表达的miRNA（DEmiRNA）。我们发现在ceRNA网络中有8个DEmRNA，53个DElncRNA和16个DEmiRNA相互作用。三种ceRNA（HCG22，LINC00460和STC2）与存活率显着相关。在肿瘤组织中，STC2转录水平显着高于正常组织，并且在HNSCC的不同阶段，STC2的表达略有上调。结论LINC00460，HCG22和STC2表达异常，可能参与了HNSCC的发病。

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