Extended Data Fig. 1: Identification of latent factors associated with CPI response and survival across the HMF-CPI cohort.

The figure provides a broad comparison of the landscape of features identified as significantly associated with CPI response (BOR), Progression Free Survival (PFS) and Overall Survival (OS) through the systematic use of univariate regression models corrected with different sets of covariables (see main manuscript and Supplementary Note 1). The three panels illustrate the results of the systematic analysis using no covariables (a), only the tissue as covariable (b), or the tissue, age, biopsy site and tumor purity as covariables (c) for the regressions. All analyses described in the main manuscript were carried out taking into account all covariables described in c. Features of different nature are colored following the same legend as in the main Figures. All p-values shown in the plots were computed via logistic (response) or Cox (survival) regressions, as in Figs. 2 and 3 of the main manuscript. These are, by definition, two-sided, denoted by positive or negative odds ratios (logistic regressions) or the reverse of hazard estimates (Cox regressions). OS: overall survival; PFS: progression-free survival; BOR: best overall response according to RECIST.