Abstract
Predictive modeling of response to immune checkpoint inhibition. A, Schematic of data and methods used in model training and testing. B, Top ranked features of ICB response selected by LASSO logistic regression. C, Comparisons of the performance of the IOselect model and the 3-feature model (TMB+IFNG+FCER1A) with existing biomarkers in six independent test cohorts. The differences between the mean AUCs of IOSelect and other models were computed using a paired t test. **, P-value <0.01; *, P-value <0.05; P-value <0.1. D, Kaplan–Meier curves of PFS for patients with high versus low predicted scores (greater than or less than median); P-values from log-rank test shown.