〔Abstract〕 Objective To establish a prognostic model for renal clear cell carcinoma based on differentially expressed autophagy related genes in TCGA database. Methods The RNA sequencing data for 537 cases of renal clear cell carcinoma and 72 cases of normal tissues were downloaded from the TCGA database for extracting the expression profiles of autophagy related genes. A comparison between carcinoma and normal tissue was conducted to obtain a list of differentially expressed genes, in which 489 samples of renal clear cell carcinoma with paired clinical information were randomized 7 ∶3 to training group(n=344) and validation group(n=145). For the training group, the univariate and multivariate Cox regression analyses were used to construct the prognostic model, which was then validated by the validation group. Results Total 36 differentially expressed autophagy-related genes were screened out. The univariate and multivariate Cox regression analyses screened out 8 differentially expressed autophagy-related genes(CX3 CL1,PRKCQ,RAB,VMP1,IFNG,EIF4 EBP1,ATG16 L2and BID) and relevant risk factors, and the risk score was calculated for each patient. With the median risk score as the cutoff value, the patients in the training group and validation group were divided into low risk group and high risk group. The Kaplan-Meier and log-rank analyses showed that the overall survival rate of patients with high risk scores was lower than that of patients with low risk scores(P<0.05). The results obtained in the validation group were consistent(P<0.05). In addition, the multivariate regression analysis revealed that the prognostic model was an independent risk factor for predicting the prognosis of renal clear cell carcinoma(P<0.05). Conclusion The differentially expressed autophagy-related genes are potential diagnostic and prognostic markers in patients with renal clear cell carcinoma, which may support individualized postoperative treatment theoretically.