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Abstract：
To identify an apoptosis-related gene (ARG) prediction model for oral squamous cell carcinoma (OSCC), we analyzed and validated the data from TCGA and GEO, respectively. Kaplan-Meier survival analysis and ROC curves showed a good prognostic ability of the model both in the internal training set and in the external testing set. Furthermore, we built a nomogram using these ARGs to forecast the survival probability of OSCC patients. Moreover, we evaluated the rate of immune cells infiltrating in the tumor samples and found obvious, different patterns between the high and low risk groups. GO and KEGG analyses demonstrated multiple molecular biological processes and signaling pathways connecting with this prognostic model in OSCC. The expression of these risk genes in clinical specimens was higher in the non-survival patients than in the well-survival patients by immunohistochemical staining analysis. In conclusion, we established a signature made up of six risk apoptosis-related genes to predict the survival rate of OSCC. These genes could also be targets for the treatment of OSCC.
摘要：
建立口腔鳞状细胞癌凋亡相关基因(ARG)预测模型,我们对TCGA和GEO的数据进行了分析和验证，分别。Kaplan-Meier生存分析和ROC曲线显示模型在内部训练集和外部测试集中都具有良好的预后能力。此外，我们使用这些ARGs构建了一个列线图来预测OSCC患者的生存概率.此外，我们评估了肿瘤样本中免疫细胞的浸润率，高风险和低风险组之间的不同模式。GO和KEGG分析证明了多种分子生物学过程和信号通路与OSCC中的这种预后模型有关。通过免疫组织化学染色分析，非存活患者的临床标本中这些风险基因的表达高于存活良好患者。总之,我们建立了由6个与凋亡相关的危险基因组成的标记来预测OSCC的存活率。这些基因也可能是治疗OSCC的靶标。
