Research Paper Volume 16, Issue 3 pp 2591—2616
Prognostic model development and molecular subtypes identification in bladder urothelial cancer by oxidative stress signatures
Figure 4. (A) The survival showed as Hazard ratio was determined by univariate Cox regression analysis in Forest plot. (B) Ten-fold cross-validation for tuning parameter selection in lasso regression. Vertical lines are drawn from the best data according to the minimum criterion and 1 standard error criterion. The vertical lines on the left represent the final 4 genes identified. (C) LASSO coefficient profiles of 13 OS-related genes. The 10-fold cross-validation value is marked by a vertical line. (D) The statistical difference exists in the overall survival between high-risk and low-risk groups as shown in the Kaplan-Meier curve. (E–H) The different overall survival between low and high CRYAB, P4HB, PDGFRA, and RBPMS expression was shown in the Kaplan-Meier curve respectively.