A. Bar chart showing accuracy and F1 score for each histopathologic model predicting anti-CD40 DFS.
B. ROC curve with corresponding AUC for the IA histopathologic model.
C. Bubble chart showing the top 15 features whose increased presence drove the IA model to predict short DFS (purple) or long DFS (green). Features are grouped by TME feature type (density, barcode, interaction). Bubble size denotes relative importance of the feature.
D. Representative pseudo-colored mIHC images showing TOX1+ and/or PD-1+ CD3+ T cells in short DFS tissue (left) and CD44+ and/or CD39+ CD3+ T cells in long DFS tissue (right). Scale bars = 100 µm.
E. Matrix showing correlations between the top barcodes from the IA model with each other based on types and proportions of T cell states expressing the barcodes. Stacked bars at the top of the correlation matrix show proportions of T cell states expressing the barcodes, and T cells are color coded and listed for each group to the right of the heatmap, along with the corresponding barcodes in each group. Leftmost column is color coded according to which DFS group the presence of the barcode predicted by the model.