Fig. 1

The design flow chart of this study. Clinical follow-up information of renal clear cell carcinoma, protein-coding RNA expression data, long non-coding RNA expression data, and somatic mutation information were downloaded from the TCGA database, and the samples were then divided into training sets and test sets. The samples were then divided into two groups for difference analysis according to gene mutation. According to the results of difference analysis, the overall samples were divided into gene stable group and gene unstable group by consensus cluster analysis. Then lncRNA-mRNA co-expression network was constructed, and the pathway analysis and GSVA scores were performed for this network. Then a COX regression prognostic model was established, and the model verification processes such as survival analysis, clinical subgroup analysis, tumor mutation burden analysis and model comparison were carried out