State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, No.127, Changle West Road, Xi'an, 710032, Shaanxi Province, China.
Department of Thyroid and Breast Surgery, The Affiliated Hospital of Northwest University & Xi'an No.3 Hospital, Northwest University, Xi'an, 710018, Shaanxi Province, China.
Hereditas. 2021 Apr 23;158(1):15. doi: 10.1186/s41065-021-00181-1.
Oral squamous cell carcinoma (OSCC) is a malignant cancer, the survival rate of patients is disappointing. Therefore, it is necessary to identify the driven-genes and prognostic biomarkers in OSCC.
Four Gene Expression Omnibus (GEO) datasets were integratedly analyzed using bioinformatics approaches, including identification of differentially expressed genes (DEGs), GO and KEGG analysis, construction of protein-protein interaction (PPI) network, selection of hub genes, analysis of prognostic information and genetic alterations of hub genes. ONCOMINE, The Cancer Genome Atlas (TCGA) and Human Protein Atlas databases were used to evaluate the expression and prognostic value of hub genes. Tumor immunity was assessed to investigate the functions of hub genes. Finally, Cox regression model was performed to construct a multiple-gene prognostic signature.
Totally 261 genes were found to be dysregulated. 10 genes were considered to be the hub genes. The Kaplan-Meier analysis showed that upregulated SPP1, FN1, CXCL8, BIRC5, PLAUR, and AURKA were related to poor outcomes in OSCC patients. FOXM1 and TPX2 were considered as the potential immunotherapeutic targets with future clinical significance. Moreover, we constructed a nine-gene signature (TEX101, DSG2, SCG5, ADA, BOC, SCARA5, FST, SOCS1, and STC2), which can be utilized to predict prognosis of OSCC patients effectively.
These findings may provide new clues for exploring the molecular mechanisms and targeted therapy in OSCC. The hub genes and risk gene signature are helpful to the personalized treatment and prognostic judgement.
口腔鳞状细胞癌（OSCC）是一种恶性癌症，患者的生存率令人失望。因此，有必要确定 OSCC 中的驱动基因和预后生物标志物。
使用生物信息学方法综合分析了四个基因表达综合数据集（GEO），包括差异表达基因（DEG）的鉴定、GO 和 KEGG 分析、蛋白质-蛋白质相互作用（PPI）网络的构建、枢纽基因的选择、预后信息和枢纽基因遗传改变的分析。ONCOMINE、癌症基因组图谱（TCGA）和人类蛋白质图谱数据库用于评估枢纽基因的表达和预后价值。评估肿瘤免疫以研究枢纽基因的功能。最后，进行 Cox 回归模型构建多基因预后特征。
共发现 261 个基因失调。10 个基因被认为是枢纽基因。Kaplan-Meier 分析表明，上调的 SPP1、FN1、CXCL8、BIRC5、PLAUR 和 AURKA 与 OSCC 患者的不良预后相关。FOXM1 和 TPX2 被认为是具有未来临床意义的潜在免疫治疗靶点。此外，我们构建了一个由 9 个基因组成的特征（TEX101、DSG2、SCG5、ADA、BOC、SCARA5、FST、SOCS1 和 STC2），可有效预测 OSCC 患者的预后。
这些发现可能为探索 OSCC 的分子机制和靶向治疗提供新线索。枢纽基因和风险基因特征有助于个性化治疗和预后判断。
