Zhu Chao, Gu Liqun, Yao Mianfeng, Li Jiang, Fang Changyun
Department of Stomatology, Xiangya Hospital, Central South University, Changsha, China.
Department of Pediatric Stomatology, Xiangya Stomatological Hospital, Central South University, Changsha, China.
Front Oncol. 2021 Dec 21;11:776979. doi: 10.3389/fonc.2021.776979. eCollection 2021.
The prognosis and immunotherapy response rates are unfavorable in patients with oral squamous cell carcinoma (OSCC). The tumor microenvironment is associated with tumor prognosis and progression, and the underlying mechanisms remain unclear. We obtained differentially expressed immune-related genes from OSCC mRNA data in The Cancer Genome Atlas (TCGA) database. Overall survival-related risk signature was constructed by univariate Cox regression analysis and LASSO Cox regression analysis. The prognostic performance was validated with receiver operating characteristic (ROC) analysis and Kaplan-Meier survival curves in the TCGA and Gene Expression Omnibus (GEO) datasets. The risk score was confirmed to be an independent prognostic factor and a nomogram was built to quantify the risk of outcome for each patient. Furthermore, a negative correlation was observed between the risk score and the infiltration rate of immune cells, as well as the expression of immunostimulatory and immunosuppressive molecules. Functional enrichment analysis between different risk score subtypes detected multiple immune-related biological processes, metabolic pathways, and cancer-related pathways. Thus, the immune-related gene signature can predict overall survival and contribute to the personalized management of OSCC patients.
口腔鳞状细胞癌（OSCC）患者的预后和免疫治疗反应率不佳。肿瘤微环境与肿瘤预后和进展相关，但其潜在机制仍不清楚。我们从癌症基因组图谱（TCGA）数据库的OSCC mRNA数据中获得了差异表达的免疫相关基因。通过单变量Cox回归分析和LASSO Cox回归分析构建了总生存相关风险特征。在TCGA和基因表达综合数据库（GEO）数据集中，通过受试者工作特征（ROC）分析和Kaplan-Meier生存曲线验证了预后性能。风险评分被证实为独立的预后因素，并构建了列线图以量化每位患者的预后风险。此外，观察到风险评分与免疫细胞浸润率以及免疫刺激和免疫抑制分子的表达之间存在负相关。不同风险评分亚型之间的功能富集分析检测到多个免疫相关生物学过程、代谢途径和癌症相关途径。因此，免疫相关基因特征可以预测总生存，并有助于OSCC患者的个性化管理。
