Improving Melanoma Classification by Integrating Genetic and Morphologic Features
Figure 3
Prediction Algorithms of BRAF Mutation
Prediction trees for BRAF mutation status with morphologic variables (A) or variables in the Southern German Tumor Registry (B).
(A) Terminal nodes display heatmaps showing samples by mutation status, ordered and coded as in Figure 2A.
(B) The prediction tree for BRAF mutation using the variables of age, sex, body site, and WHO type also recorded in melanoma registries identifies an age cutoff of 55 y as the single best predictor of BRAF mutation status. Kaplan Meier survival analysis from the Southern German Tumor Registry shows a significant (p < 0.0001) decrease in survival when stratified by this age cutoff.