Extended Data Fig. 9: Effect of mean HLA-I evolutionary divergence and tumor mutational burden on efficacy of immune checkpoint inhibitor treatment in an independent set of patients.

a, Association of high mean HED (red) with improved overall survival after ICI in an independent pan-cancer dataset of patients described in Chowell et al. These patients do not overlap with those presented in Figs. 2 & 3. Cutoff was determined using the median mean HED across the cohort. P = 0.02; two-sided log-rank test. HR = hazard ratio, CI = confidence interval. b, Association of high mean HED (red) with improved overall survival after ICI in an independent, pan-cancer dataset of patients described in Chowell et al. These patients do not overlap with those presented in Figs. 2 & 3. Patients in the red curve have mean HED greater than or equal to the top quartile; patients in the blue curve have mean HED less than or equal to the first quartile. P = 0.04; two-sided log-rank test c, Association of high mean HED (red) with improved overall survival after ICI in all patients described in Chowell et al. Cutoff was determined using the median mean HED across the cohort. P = 0.0012; two-sided log-rank test. d, Association of high mean HED (red) with improved overall survival after ICI in all patients described in Chowell et al. Patients in the red curve have mean HED greater than or equal to the top quartile; patients in the blue curve have mean HED less than or equal to the first quartile. P = 0.0037; two-sided log-rank test. e, Multivariable Cox proportional-hazards model including mean HED and other variables. Data show independent effect of mean HED on improved survival after ICI administration when adjusting for TMB and cancer type. Mean HED is dichotomized into high (1) and low (0) groups using the median; TMB is treated as a continuous variable. TMB P = 0.0008. P values calculated using two-sided log-rank test. Horizontal lines represent the 95% confidence interval.