口腔鳞状细胞癌免疫基因结合代谢基因临床预后模型的建立  

Establishment of clinical prognostic model of immune gene combined with metabolic gene in oral squamous cell carcinoma

作　　者：张晓燕 张诗晗 邸璐 康培 刘文静 李曼 李向军[1] ZHANG Xiaoyan;ZHANG Shihan;DI Lu;KANG Pei;LIU Wenjing;LI Man;LI Xiangjun(School and Hospital Stomatology Hebei Medical University,Hospital Of Stomatology Hebei Medical University·Preventive Dentistry,Hebei Key Laboratory of Stomatology,The Oral Disease Clinical Medicine Research Institution of Hebei,Shijiazhuang 050017)

机构地区：[1]河北医科大学口腔医学院·口腔颌面外科,河北省口腔医学重点实验室,河北省口腔疾病临床医学研究中心,石家庄050017

出　　处：《现代口腔医学杂志》2024年第4期241-247,共7页Journal of Modern Stomatology

基　　金：河北省科技厅2021年度引进国外智力项目;河北省卫生健康委员会青年科技课题(20240699);河北省卫生健康委员会重点科技研究计划(20230183);河北省省级科技计划项目(21377719D)。

摘　　要：目的构建与口腔鳞状细胞癌(OSCC)相关的免疫和代谢基因的风险评估回归模型,以判断病人的预后状况。方法从TCGA以及GEO数据库获取OSCC的基因表达数据及其临床信息。筛选出表达差异显著的免疫及代谢基因后,依次运用单因素Cox回归分析、Lasso-Cox回归分析以及多因素Cox回归分析建立免疫基因结合代谢基因相关预后模型,并对该模型的预测效能进行检验。结果筛选出了11个建模基因(DEFB1、HTN1、CTSG、TYK2、PTX3、CCR7、OSM、OXT、PSPH、CKM、ACADL),构建了风险回归模型。低风险组与高风险组患者的总生存率存在显著差异(P<0.001)。通过单因素和多因素Cox回归分析验证了该预测模型中的风险评分是独立预后因素(P<0.001)。ROC曲线分析(AUC=0.746)表明了预后模型的良好性能。结论成功构建了与口腔鳞状细胞癌免疫和代谢基因相关的风险评估回归模型,该模型能帮助临床医师为不同风险的OSCC患者选择个性化的治疗策略。Objective To establish regression models of immune and metabolism-related gene risk in oral squamous cell carcinoma(OSCC)to evaluate the prognosis of patients.Methods To establish genes related to immunity and metabolism of oral squamous cell carcinoma(OSCC),OSCC data pertaining to gene expression along with associated clinical details were retrieved from the TCGA and GEO repositories.Following this,immune and metabolic genes exhibiting differential expression were pinpointed,and a predictive prognostic construction integrating both immune and metabolic gene profiles was developed using univariate,Lasso,and multifactor Cox regression methods.Lastly,the accuracy of this prognostic schema was validated.Results Eleven modeling genes(DEFB1,HTN1,CTSG,TYK2,PTX3,CCR7,OSM,OXT,PSPH,CKM,ACADL)were screened out and a risk regression model was constructed.Substantial disparities in total survival were observed when comparing the groups at low and high risk,with highly noteworthy statistical results(P<0.001).Both single-variable and multiplevariable analyses using the Cox regression method revealed the model's risk score to be an autonomous predictive element(P<0.001).Furthermore,the capability of the forecasting model was confirmed by ROC curve assessment,indicated by an AUC of 0.746.Conclusion In summation,the creation of an effective regression model that incorporates immune and metabolic genetic risk factors for oral squamous cell carcinoma could aid medical professionals in selecting tailored therapeutic approaches for patients with varying levels of risk associated with OSCC.

关 键 词：口腔鳞状细胞癌 免疫相关基因 代谢相关基因 预后模型 

分 类 号：R739.8[医药卫生—肿瘤]