Huang Guan-Jiang, Luo Meng-Si, Chen Guo-Ping, Fu Min-Yi
Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan City People's Hospital, Zhongshan Hospital of Sun Yat-Sen University, No.2, Sun-wen Dong Road, Zhongshan, Guangdong, People's Republic of China.
Department of Anesthesiology, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan, Guangdong, People's Republic of China.
Eur Arch Otorhinolaryngol. 2018 Mar;275(3):751-759. doi: 10.1007/s00405-018-4876-9. Epub 2018 Jan 13.
The functional characterization of non-coding microRNAs (miRNAs) has been shown to be associated with the pathophysiology of the disease, but it is still a challenging task to elucidate the pathogenesis of microRNAs and disease. In addition, the understanding of the role of miRNAs in the development of LSCC still needs further exploration.
In this study, to identify miRNAs that play a key role in LSCC, we analyzed miRNA and mRNA sequence data from 162 LSCC samples from the TCGA database, and screened specific miRNAs and mRNAs by differential gene expression analysis. And then, construct a differentially expressed miRNAs and mRNAs interaction network.
In our investigation, 23 miRNAs (P < 0.01, log2FoldChange > 2) and 331 mRNAs (P < 0.01, log2FoldChange > 4) were identified differentially expressed in LSCC and reduced the number of loosely linked miRNAs and mRNAs according to appropriate thresholds. Finally, 13 miRNAs and 35 mRNAs were enriched in a network.
Our study provides the most comprehensive information on the expression of miRNAs in LSCC and identifies the known oncogenic miRNAs (such as miR-163a), as well as aberrant expression of novel miRNAs involved in cell regulation and metabolic defects that occur during development of LSCC.
非编码微小RNA（miRNA）的功能特性已被证明与疾病的病理生理学相关，但阐明miRNA与疾病的发病机制仍是一项具有挑战性的任务。此外，对miRNA在喉鳞状细胞癌（LSCC）发生发展中的作用的了解仍需进一步探索。
在本研究中，为了鉴定在LSCC中起关键作用的miRNA，我们分析了来自TCGA数据库的162例LSCC样本的miRNA和mRNA序列数据，并通过差异基因表达分析筛选出特定的miRNA和mRNA。然后，构建差异表达的miRNA和mRNA相互作用网络。
在我们的研究中，鉴定出23个miRNA（P < 0.01，log2倍变化> 2）和331个mRNA（P < 0.01，log2倍变化> 4）在LSCC中差异表达，并根据适当的阈值减少了松散连接的miRNA和mRNA的数量。最后，13个miRNA和35个mRNA富集在一个网络中。
我们的研究提供了关于LSCC中miRNA表达的最全面信息，鉴定出已知的致癌miRNA（如miR-163a），以及参与LSCC发生过程中细胞调节和代谢缺陷的新型miRNA的异常表达。
