Objective：Screening individuals at high risk of renal cancer by miRNA prognostic model and performing early intervention treatment to improve patient survival. Methods：The models were evaluated by risk survival curve，receiver operating characteristic(ROC)curve and survival status plots based on the Cancer Genome Atlas(TCGA)database，and an independent prognostic analysis was performed to screen prognosis related miRNAs in clear cell renal cell carcinoma. Results：① Preliminary screening of 3613 differentially expressed mRNAs and 49 differentially expressed miRNAs. ②Three miRNAs related to prognosis were screened by univariate and multivariate Cox regression analysis to construct a risk prognostic model，and there were obvious survival differences in the high and low risk groups of the Train group，the Test group，and all samples. The areas under the ROC curve of the 1， 3 and 5-year survival analysis of the 3 groups were all close to or greater than 0.70，and the risk score can be used as an independent prognostic factor. ③In GO analysis，it is mainly concentrated in the development of nephron epithelium and nephron，postsynaptic density，metal ion transmembrane transporter activity，etc. In KEGG enrichment analysis，it is mainly involved in other types of O-glycan biosynthesis and N -glycan biosynthesis. Conclusion：Three miRNA risk prognostic models based on TCGA database can be used as prognostic biomarkers of renal clear cell carcinoma.