The identification of autophagy-related genes in the prognosis of oral squamous cell carcinoma
The identification of autophagy-related genes in the prognosis of oral squamous cell carcinoma
复制标题
自噬相关基因的鉴定在口腔鳞状细胞癌预后中的作用
DOI：
10.1111/odi.13492
复制
发表时间：
2020
期刊：
影响因子：
3.8
通讯作者：
Han Jing
中科院分区：
文献类型：
--
作者：
Zhu Longbiao;Yan Donglin;Chen Yan;Chen Sheng;Chen Ning;Han Jing
目的本研究的目的是鉴定预后自噬相关基因，并评估这些基因预测口腔鳞状细胞癌（OSCC）临床结局的能力。研究对象和方法从人类自噬数据库中获得人类自噬相关基因的详细信息。使用Cancer Genome Atlas数据库获取患者的基因表达谱和临床资料。利用基因本体和京都基因与基因组百科（KEGG）途径富集分析对差异表达基因的生物学功能进行预测。通过Cox回归分析鉴定预后相关基因，并应用系数构建预后风险评分模型。风险评分的中位数用于区分高风险组和低风险组。采用基因表达综合数据库、qRT - PCR和免疫组织化学验证关键基因的表达。结果kegg分析显示，差异表达基因主要富集于自噬相关通路和病毒感染。鉴定出BAK1、BID、NKX2‐3和SPHK1。风险评分模型显示，高风险评分者的总生存率较低（Kaplan - Meier分析，p= 1.79 × 10-7）。SPHK1在OSCC组织和细胞中上调，NXK2‐3下调。结论细胞吞噬相关基因表达谱可能是鳞癌预后的潜在生物标志物。
ObjectivesThe aim of this study was to identify prognostic autophagy‐related genes and assess the ability of these genes to predict clinical outcomes in oral squamous cell carcinoma (OSCC).Subjects and methodsThe details of the human autophagy‐related genes were obtained from the Human Autophagy Database. The Cancer Genome Atlas database was used to obtain the gene expression profiles and clinical data of patients. Prediction of biological functions of differentially expressed genes was performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Prognosis‐related genes were identified by Cox regression analysis, and the coefficient was applied to construct a prognostic risk score model. The median of the risk score was applied to distinguish between high‐ and low‐risk groups. The Gene Expression Omnibus database, qRT‐PCR and immunohistochemistry were used to validate the expression of key genes.ResultsKEGG analyses revealed that differentially expressed genes were mainly enriched in autophagy‐related pathways and virus infection. BAK1, BID, NKX2‐3 and SPHK1 were identified. The risk score model showed that the high‐risk score had poorer overall survival (Kaplan‐Meier analysis,p= 1.79 × 10–7). SPHK1 was upregulated in OSCC tissues and cells, and NXK2‐3 was downregulated.ConclusionsAutophagy‐related gene expression profiles may be a potential biomarker for OSCC prognosis.