老年肾透明细胞癌患者预后风险模型的构建及验证OA
Prognostic model construction and validation of elderly patients with clear cell renal cell carcinoma
目的:探究影响老年肾透明细胞癌(clear cell renal cell carcinoma,ccRCC)患者预后的风险因素,并构建新型预后风险评分模型.方法:选取美国监测、流行病学和最终结果(The Surveillance,Epidemiology,and End Results,SEER)数据库中10 236例老年ccRCC患者,按照7∶3的比例随机分配至训练组和验证组.采用多因素Cox回归分析确定影响老年ccRCC患者预后的独立危险因素.基于Cox回归分析中各因子的回归系数构建预后模型,并以列线图预测老年ccRCC患者1年、3年和5年的总体生存率(overall survival,OS)和肿瘤特异性生存率(cacner specific survival,CSS).利用受试者工作特征(receiver operating characteristic,ROC)曲线、校准曲线和决策曲线分析评价模型的区分度、校准度和临床实用性.并采用验证组数据进行模型验证.结果:多因素Cox回归分析结果显示,年龄、性别、种族、婚姻状态、肿瘤直径、组织学分级、T分期、N分期、M分期、手术方式、淋巴结清扫、静脉癌栓和转移部位为老年ccRCC患者OS的独立影响因素(P均<0.05).而CSS的独立影响因素包括年龄、肿瘤直径、组织学分级、病理分期、N分期、M分期、手术方式、静脉癌栓及转移部位(P均<0.05).OS模型列线图的ROC曲线显示,训练组中1年、3年和5年的AUC值分别为0.75、0.74、0.72,验证组中1年、3年和5年的AUC值分别为0.74、0.74、0.72;而CSS模型列线图的ROC曲线显示,训练组中1年、3年和5年的AUC值分别为0.84、0.84、0.82,验证组中1年、3年和5年的AUC值分别为0.83、0.84、0.81.校准曲线显示列线图预测患者的生存率与实际生存率高度一致.决策曲线分析显示预后模型的临床净获益度高于传统TNM模型.结论:构建的列线图预测模型用于预测老年ccRCC患者1年、3年、5年的OS和CSS,展现了卓越的区分能力、良好的拟合优度以及显著的临床应用价值.
Objective:To explore the risk factors affecting the prognosis of elderly patients with clear cell renal cell carcinoma(ccRCC)and construct a novel prognostic model.Methods:Within Surveillance,Epidemiology,and End Results(SEER)registry database,10 236 elderly ccRCC patients were randomly assigned to the training groups and validation groups at a ratio of 7∶3.Multivariate Cox regression analysis was used to identify independent risk factors for the prognosis of elderly ccRCC patients.A prognostic model was constructed based on the regression coefficients of each factor in the Cox regression analysis,and a nomogram was established to predict the overall survival(OS),and cancer specific survival(CSS)at 1,3,and 5 years in elderly ccRCC patients.The model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis.The model was validated using data from the validation groups.Results:Multivariate Cox regression analysis showed that age,gender,race,marital status,tumor size,histological grade,T stage,N stage,M stage,surgical method,lymph node dissection,venous infiltration and metastatic site were independent risk factors for OS in elderly ccRCC patients(all P<0.05).In contrast,the independent risk factors for CSS included age,tumor size,histological grade,pathological stage,N stage,M stage,surgical method,venous infiltration and metastatic site(all P<0.05).The ROC curve of the OS model showed that the AUC values for 1,3 and 5 year OS were 0.75,0.74 and 0.72 in the training groups,and 0.74,0.74 and 0.72 in the validation groups,respectively.For the CSS nomogram,the AUC values for 1,3 and 5 year OS were 0.84,0.84 and 0.82 in the training groups,and 0.83,0.84 and 0.81 in the validation groups.The calibration curve showed that the nomogram predicted patient survival was highly consistent with actual survival.The clinical decision curve showed a higher net clinical benefit in the prognostic model than the TNM model.Conclusion:The nomogram model for predicting 1,3 and 5 year OS and CSS in elderly ccRCC patients has good discriminative ability,model fit,and clinical net benefit.
何伟欣;陈兵海
江苏大学附属医院泌尿外科,江苏镇江 212001江苏大学附属医院泌尿外科,江苏镇江 212001
医药卫生
肾透明细胞癌列线图预后风险模型SEER数据库
clear cell renal cell carcinomanomogramprognostic modelSEER database
《江苏大学学报(医学版)》 2026 (2)
142-153,12
评论