Fig. 4
C-ECM scores predict failure of PD-1 blockade. a Boxplots showing distributions of C-ECM ssGSEA scores across multiple data sets of pretreatment biopsies from patients treated with PD-1 blockade. Non-responders = progressive disease (PD). p Values are from Wilcoxon’s Rank Sum Test. b Coefficients from pooled logistic regression analysis evaluating various predictors on PD-1-blockade response, error bars indicate 95% confidence intervals. c Boxplots of Cohen’s Kappa from 0.632 bootstrapping (500 resamples), showing that ECM-based models outperform other candidate biomarkers. Asterisks show q-values. d Heatmap showing C-ECM genes differentially expressed between ICB responders and nonresponders after controlling for study-specific variation. Rows show z-scores of expression (log2 CPM) and columns show samples; annotation ribbons display clinical information. e Boxplot showing C-ECM-up score distributions based on discretised categories of TGFB1 expression and the Tirosh CAF signature. All comparisons with the TGFB1 high, CAF high group were significant at FDR < 0.05 (Wilcoxon’s Rank Sum Test)
