Fig. 1

Identification and establishment of the URGPs signature in COAD. A Soft-thresholding power in WGCNA. B Tree of gene clusters. The dynamic tree cutting approach was applied to discover modules by separating the tree diagram at significant branch points. This was premised on an adjacency-based mismatch that was found in the hierarchical gene clustering chart. In the horizontal bar immediately below the tree diagram, various colors have been designated for each module. C Associations between modules and traits in normal and malignant tissues. The table is organized such that each row signifies a color module while each column signifies a clinical characteristic. The correlation coefficient between each module and clinical features and the p-value corresponding to that coefficient is shown by the numbers in each cell. D The forest plot depicting the prognostic-associated URGPs as determined by the univariate Cox proportional hazards regression model in COAD patients. E The calculation of penalties by one thousand rounds of cross-validation to get the optimal values for the parameters. F LASSO-Cox regression analysis was performed by computing the minimal criterion