Figure 2.

Analysis workflow for prognostic model training and validation. Patients in the training cohort were dichotomized into long‐ (survived > 900 days, n = 13) and short‐survivor (survived < 300 days, n = 14) groups. A multivariate linear regression model with LASSO for feature selection capable of classifying patients as long‐ or short‐survivors was developed on the training cohort. Next the model was applied to an independent validation cohort. We applied the model both to pre‐dichotomized long (n = 11) and short (n = 16) survivors as well as the whole cohort as a continuous model.