基于生物信息学构建铜死亡相关口腔鳞癌预后模型  

Construction of cuproptosis-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics

作　　者：高百鑫 李玲[2] 张竞飞 袁超 张萌 蔡圳 GAO Baixin;LI Ling;ZHANG Jingfei;YUAN Chao;ZHANG Meng;CAI Zhen(Postgraduate Training Base of Linyi People's Hospital,Jinzhou Medical University,121000,China;Linyi People's Hospital;Binzhou Medical College Yantai Campus)

机构地区：[1]锦州医科大学临沂市人民医院研究生培养基地,121000 [2]临沂市人民医院 [3]滨州医学院烟台校区

出　　处：《实用口腔医学杂志》2025年第2期253-260,共8页Journal of Practical Stomatology

基　　金：山东省中医药科技项目(编号:Z-2023091)。

摘　　要：目的:基于转录组数据筛选口腔鳞状细胞癌(OSCC)中铜死亡相关基因(CRGs),确定特征基因构建预后模型预测患者生存时间。方法:在TCGA及GEO数据库中下载OSCC转录组基因表达量和临床数据。经单因素、多因素Cox回归分析、Lasso-Cox回归分析,筛选预后基因、构建预后模型,根据风险评分的中位值将患者分为高低风险组并比较其生存率,最后验证模型预测性能。结果:本研究筛选出9个有预后价值的特征基因(EN O2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1),并构建了9基因预后模型。基于预后模型划分的高风险组患者生存率明显低于低风险组。受试者工作特征曲线(ROC)下面积(AUC)1、3和5年分别为0.701、0.729和0.702,验证了风险模型具有良好的预测性能。列线图预测了OSCC患者1、3和5年的生存概率分别为89.6%、72.4%和63.9%,校准曲线证实列线图预测的准确性。结论:基于CRGs筛选的9基因预后模型可以较好地预测OSCC患者的预后,有助于临床对于OSCC患者进行个性化治疗,预测其生存率。Objective:The transcriptome data was utilized to screen cuproptosis-related genes(CRGs)in oral squamous cell carcinoma(OSCC),and the characteristic genes were identified for constructing a prognostic model for predicting patients'survival time.Methods:OSCC transcriptome gene expression and clinical data were obtained from TCGA and GEO.Through Lasso regression analysis and Cox regression analysis,relevant prognostic genes were screened and prognostic models were constructed.According to the median value of risk scores,patients were divided into high and low risk groups,and their survival rates were compared.Finally,the predictive performance of the model was verified.Results:In this study,9 characteristic genes with prognostic value(ENO2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1)were screened out and a 9-gene prognostic model was constructed.The survival rate of high-risk group based on prognostic model was significantly lower than that of low-risk group.The area under curve(AUC)of receiver operating characteristic curve(ROC)was 0.701,0.729 and 0.702 at 1 year,3 years and 5 years,respectively,which verifies that the risk model has good predictive performance.The nomogram predicted that the 1-year,3-year,and 5-year survival probabilities of OSCC patients are 89.6%,72.4%,and 63.9%respectively,and the calibration curve confirmed the accuracy of the nomogram prediction.Conclusion:The 9-gene prognostic model based on CRGs screening could predict the prognosis of OSCC patients,which is helpful for clinical personalized treatment of OSCC patients and prediction of their survival rate.

关 键 词：铜死亡 口腔鳞癌 预后模型 生物信息学 

分 类 号：R739.8[医药卫生—肿瘤]