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Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer

机译:整合的microRNA-mRNA分析揭示了microRNA在舌鳞癌中的潜在作用

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摘要

Tongue squamous cell carcinoma (TSCC) is a rare and aggressive type of cancer, which is associated with a poor prognosis. Identification of patients at high risk of TSCC tumorigenesis may provide information for the early detection of metastases, and for potential treatment strategies. MicroRNA (miRNA; miR) and mRNA expression profiling of TSCC tissue samples and normal control tissue samples were obtained from three Gene Expression Omnibus (GEO) data series. Bioinformatics analyses, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with miRNA-associated TSCC oncology. A total of 25 miRNAs and 769 mRNAs were differentially expressed in the two groups assessed, and all the differentially expressed miRNA and mRNA target interactions were analyzed. The miRNA target genes were predominantly associated with 38 GO terms and 13 pathways. Of the genes differentially expressed between the two groups, and confirmed in another GEO series, miRNA-494, miRNA-96, miRNA-183, runt-related transcription factor 1, programmed cell death protein 4 and membrane-associated guanylate kinase were the most significantly altered, and may be central in the regulation of TSCC. Bioinformatics may be used to analyze large quantities of data in microarrays through rigorous experimental planning, statistical analysis and the collection of complete data on TSCC. In the present study, a novel differential miRNA-mRNA expression network was constructed, and further investigation may provide novel targets for the diagnosis of TSCC.
机译:舌鳞状细胞癌(TSCC)是一种罕见且侵袭性的癌症,与预后不良相关。确定高TSCC肿瘤发生风险的患者可为早期发现转移灶和潜在治疗策略提供信息。 TSCC组织样品和正常对照组织样品的MicroRNA(miRNA; miR)和mRNA表达谱是从三个Gene Expression Omnibus(GEO)数据系列获得的。生物信息学分析,包括基因本体论(GO)和《京都基因与基因组百科全书》,用于鉴定与miRNA相关的TSCC肿瘤学特别相关的基因和途径。在评估的两组中总共差异表达了25个miRNA和769个mRNA,并分析了所有差异表达的miRNA和mRNA靶标相互作用。 miRNA靶基因主要与38个GO术语和13个途径相关。在两组之间差异表达的基因中,并在另一个GEO系列中得到证实,其中miRNA-494,miRNA-96,miRNA-183,矮子相关转录因子1,程序性细胞死亡蛋白4和膜相关鸟苷酸激酶是最多的发生了重大变化,可能是TSCC监管的核心。通过严格的实验计划,统计分析以及TSCC上完整数据的收集,生物信息学可用于分析微阵列中的大量数据。在本研究中,构建了新型的差异miRNA-mRNA表达网络,进一步的研究可能为TSCC的诊断提供新的靶点。

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