Construction of a prognostic model for renal cell carcinoma patients based on autophagy-related genes and CT imaging characteristics
Objective To explore the role of autophagy-related genes in the development of renal cell carcinoma and construct a prognostic model for renal cell carcinoma patients based on autophagy-related genes and CT imaging characteristics.Methods The relevant data of patients with renal clear cell carcinoma were downloaded from the TCGA database.Combined with the autophagy-related gene set,the molecular subtypes of renal carcinoma based on autophagy-related genes and the construction of an individualized autophagy scoring system were explored;by analyzing the CT data of patients with renal cell carcinoma in the TCIA database,the autophagy-related gene risk model and the imaging omics model were constructed to predict the prognosis of patients with renal cancer.Results Renal clear cell carcinoma was divided into two new molecular subtypes.Patients with poor prognosis are accompanied by a large number of immune cell infiltration(P＜0.05),and have higher clinical grades and more advanced stages(P＜0.05).Patients with high autophagy scores have significantly increased tumor gene mutation frequencies,larger tumor volumes,more advanced stages,and worse prognoses(P＜0.05).Radiomics combined with autophagy-related gene model can accurately predict the prognosis of patients with renal cancer(AUC:0.922,95%CI:0.852-0.993).Conclusion Renal cancer patients with high autophagy scores have a poor prognosis.Radiomics combined with autophagy-related gene model has good prospects in predicting the prognosis of patients with renal cancer.
renal cell carcinomaautophagyradiomicsprognostic model
万方数据
维普
