Fig. 2

WGCNA construction and identification of modules associated with the clinical traits of ccRCC based on the GSE105261 cohort. A Clustering dendrogram of 44 samples from the GSE105261 cohort. B Analysis of the scale-free index and the mean connectivity for various soft-threshold powers. C Dendrogram of all differentially expressed genes clustered based on the measurement of dissimilarity (1-TOM). The color band shows the results obtained from the automatic single-block analysis. D Heatmap depicts the topological overlap matrix (TOM) of genes selected for weighted co-expression network analysis. E Heatmap of the correlation between the module eigengenes and histological types of the GSE105261 cohort (metastatic ccRCC, primary ccRCC, and normal kidney tissues). We selected the MEred block for subsequent analyses, as it had the highest association with metastatic ccRCC samples (r = 0.68, P < 0.01). F Heatmap of eigengene adjacencies in the network (color green indicated low adjacency (negative correlation) and color red indicates high adjacency (positive correlation))