Extended Data Fig. 9: Summary of immune and genomic features in NSCLC.
From: Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
An extended heatmap showing all immune variables described in TRACERx across all patients (n = 275 regions; 85 patients), along with genomic measures and clinical parameters. Each column represents a tumor, grouped by their histologic subtype. Tumor regions (illustrated as dots) were assigned to immune hot, immune cold and intermediate phenotypes based on percentage of lymphocytes in all cells following H&E-based deep-learning analysis. Cancer-stromal fractal dimension was defined using the maximum fractal dimension in regions of a patient, using the median as cut-off to determine high and low groups.
