Establishment of a Prognostic Prediction and Drug Selection Model for Patients with Clear Cell Renal Cell Carcinoma by Multiomics Data Analysis

<div>The landscape of multiomics differences in ccRCC. (a) Comprehensive heatmap of multiomics integrative clustering with dendrogram for samples. (b) Dot plot for two distinct clusters identified by the t-SNE algorithm based on mRNA, lncRNA, miRNA, and methylation profiles. (c) Kaplan-Meier survival curve of OS and PFI of the two identified subtypes of renal cancer in TCGA-KIRC cohort. (d) Agreement of the two identified subtypes of renal cancer with AJCC classification and pathological stage in TCGA-KIRC cohort. OS: overall survival; PFI: progression-free interval.</div>

Oxidative Medicine and Cellular Longevity

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Figure 1: Establishment of a Prognostic Prediction and Drug Selection Model for Patients with Clear Cell Renal Cell Carcinoma by Multiomics Data Analysis 

Figure 1 | Establishment of a Prognostic Prediction and Drug Selection Model for Patients with Clear Cell Renal Cell Carcinoma by Multiomics Data Analysis 