Li Huan, Wang Jun, He Lei, Zhang Fengrui, Meng Qingzhe, Huang Junhong, Li Yahui, Liu Rong, Yang Xinjie, Wei Jianhua
State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China.
State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, Fourth Military Medical University, Xi'an, China.
Front Cell Dev Biol. 2022 Aug 15;10:961858. doi: 10.3389/fcell.2022.961858. eCollection 2022.
In head and neck squamous cell carcinoma (HNSCC), the interaction between epithelial-mesenchymal transformation (EMT) and hypoxia has been confirmed, and corresponding treatment methods have been investigated. Few studies have examined its combined effects and its potential clinical use, however. As a result, we developed a new scoring system based on EMT and hypoxia. We combined 200 hypoxia-related genes with 1184 EMT-related genes and finally constructed a score risk model containing 14 characteristic factors named the comprehensive index of EMT and hypoxia (CIEH) by the Lasso-Cox regression and univariate Cox regression method, which is used to predict prognosis and to guide treatment planning in HNSCC patients. Furthermore, we examined HNSCC expression of CIEH-related genes using the human protein atlas database. Based on survival analysis results, CIEH value had a high prognostic value in HNSCC patients, a high CIEH value carries a poor prognostic significance in HNSCC. It is noteworthy that the CIEH value was correlated with tumor immune infiltration. Moreover, the CIEH had significant differences in age, stage, N, laterality, and peripheral nerve invasion, and that the CIEH could be an independent prognostic factor. This study constructed a CIEH model containing 14 characteristic factors, including hypoxia-related genes and EMT genes, that may be able to serve as potential biomarkers for HNSCC. According to the 14 characteristic factors in the CIEH model, a diagnostic kit can be packaged in the future to evaluate the survival of patients before tumor surgery and guide the subsequent treatment plan.
在头颈部鳞状细胞癌（HNSCC）中，上皮-间质转化（EMT）与缺氧之间的相互作用已得到证实，并且相应的治疗方法也已得到研究。然而，很少有研究探讨其联合效应及其潜在的临床应用。因此，我们基于EMT和缺氧开发了一种新的评分系统。我们将200个与缺氧相关的基因与1184个与EMT相关的基因相结合，最终通过Lasso-Cox回归和单变量Cox回归方法构建了一个包含14个特征因子的评分风险模型，命名为EMT与缺氧综合指数（CIEH），用于预测HNSCC患者的预后并指导治疗方案的制定。此外，我们使用人类蛋白质图谱数据库检测了HNSCC中CIEH相关基因的表达。基于生存分析结果，CIEH值在HNSCC患者中具有较高的预后价值，高CIEH值在HNSCC中具有不良的预后意义。值得注意的是，CIEH值与肿瘤免疫浸润相关。此外，CIEH在年龄、分期、N、侧别和周围神经侵犯方面存在显著差异，并且CIEH可能是一个独立的预后因素。本研究构建了一个包含14个特征因子的CIEH模型，包括缺氧相关基因和EMT基因，可能能够作为HNSCC的潜在生物标志物。根据CIEH模型中的14个特征因子，未来可以包装一种诊断试剂盒，以在肿瘤手术前评估患者的生存情况并指导后续的治疗方案。
