Yang Qiaozhen, Xu Beiyun, Sun Hongying, Wang Xiaxia, Zhang Jie, Yu Xuedi, Ma Xiaojuan
Department of Stomatology, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Medicine (Baltimore). 2017 Jun;96(25):e7012. doi: 10.1097/MD.0000000000007012.
In this study, the molecular mechanisms underlying malignant transformation from oral lichen planus (OLP) to oral squamous cell carcinoma (OSCC) were examined.
High-throughput sequencing of long noncoding RNAs (lncRNAs) and mRNAs of normal subjects and patients with OLP and OSCC was conducted. RNA-seq reads were mapped, lncRNA and mRNA transcripts were assembled, and expression levels were estimated. The targets of lncRNAs were predicted. Finally, Gene Ontology (GO) and pathway enrichment analyses of differentially expressed genes (DEGs) and lncRNA targets were performed.
High-quality sequence data were generated and the mapping ratios for OSCC, normal, and OLP samples were high. In total, 820, 656, and 582 DEGs were obtained from OPL vs. normal, OSCC vs. normal, and OSCC vs. OPL, respectively. A total of 1721 known lncRNAs and 133 predicted lncRNAs and targets were obtained. Keratinization was significantly enriched by OSCC-related DEGs, but not OPL-related DEGs. The pathway of olfactory transduction was enriched by OPL- and OSCC-related DEGs. Defense response to virus and viral carcinogenesis were enriched by DEGs and lncRNA targets in all comparisons. GO term related to the metabolic process was enriched by lncRNA targets in the OPL vs normal comparison, and antigen processing and presentation via MHC class I was significantly enriched by lncRNA targets in the other 2 comparisons.
Keratinization and MHC class I antigen processing and presentation were activated during the malignant transformation from OLP to OSCC. Additionally, the olfactory transduction pathway may be important for OSCC.
在本研究中,对口腔扁平苔藓(OLP)向口腔鳞状细胞癌(OSCC)恶性转化的分子机制进行了研究。
对正常受试者、OLP患者和OSCC患者的长链非编码RNA(lncRNA)和mRNA进行高通量测序。对RNA-seq读数进行映射,组装lncRNA和mRNA转录本,并估计表达水平。预测lncRNA的靶标。最后,对差异表达基因(DEG)和lncRNA靶标进行基因本体(GO)和通路富集分析。
生成了高质量的序列数据,OSCC、正常和OLP样本的映射率很高。分别从OLP与正常、OSCC与正常以及OSCC与OLP中获得了820、656和582个DEG。共获得1721个已知lncRNA以及133个预测的lncRNA和靶标。与OSCC相关的DEG显著富集了角化,但与OLP相关的DEG未富集。嗅觉转导通路被与OLP和OSCC相关的DEG富集。在所有比较中,与病毒的防御反应和病毒致癌作用被DEG和lncRNA靶标富集。在OLP与正常的比较中,与代谢过程相关的GO术语被lncRNA靶标富集,在其他两个比较中,通过MHC I类的抗原加工和呈递被lncRNA靶标显著富集。
在从OLP向OSCC的恶性转化过程中,角化以及MHC I类抗原加工和呈递被激活。此外,嗅觉转导通路可能对OSCC很重要。