Prognostic Impact of Different Subtypes of Metastatic Renal Cancer and the Establishment of Predictive Models
10.11969/j.issn.1673-548X.2025.04.022
- VernacularTitle:转移性肾癌亚型的预后评估与预测模型研究
- Author:
Wanbin HE
1
;
Yunfeng ZHANG
;
Zhijun YANG
Author Information
1. 730000 兰州大学第一临床医学院
- Publication Type:Journal Article
- Keywords:
Metastatic renal cancer;
Clear cell renal cell carcinoma;
SEER database;
Prognosis;
Predictive models;
Renal cancer subtypes
- From:
Journal of Medical Research
2025;54(4):122-129
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study aimed to investigate the prognostic impact of different subtypes of metastatic renal cell carcinoma(mRCC)and establish corresponding predictive models using the Surveillance,Epidemiology,and End Results(SEER)database.Methods Clinical data of 2595 patients diagnosed with mRCC from 2010 to 2015 were extracted from the SEER database,including age,gender,race,tumor size,and metastatic sites.Patients were divided into clear cell renal cell carcinoma(ccRCC)group and non-clear cell renal cell carcinoma(non-ccRCC)group.Firstly,Kaplan-Meier survival analysis was performed for both groups,followed by uni-variate and multivariate COX regression analysis.Based on the results of univariate analysis,common factors affecting prognosis were de-termined.Combining the results of multivariate analysis,prognostic nomograms were established for ccRCC group and non-ccRCC group respectively,and the performance of the models was evaluated.Results The median overall survival(OS)of ccRCC group and non-ccRCC group were 18months and 11 months respectively.Univariate analysis indicated that age,T stage,bone metastasis,liver metasta-sis,and log odds of positive lymph nodes(LODDS)were common prognostic factors for different subtypes of mRCC patients.In addition,gender,tumor differentiation degree,whether receiving radiotherapy or chemotherapy,marital status,tumor size,N stage,lung metastasis and brain metastasis were also found to be associated with prognosis in ccRCC group.The OS nomogram model for ccRCC group had good predictive performance while the model for non-ccRCC group had poor performance,which might be related to the small sample size in this group.Conclusion Prognostic factors for different subtypes of mRCC are both homogeneous and heterogeneous.The prognostic pre-diction model established in this study can provide individualized treatment decision support for clinicians,thereby potentially improving patient prognosis.