We performed normalized scoring across TCGA ISC clusters (Supplementary Table S6) for transcriptomic vs pathological image-based immune features: immune cell quantification from immune-deconvolution (quanTIseq)91, antigenicity parameters (Indel/SNV neoantigens, TCR/BCR Richness; TCGA data)73, and immune-landscape signatures (TCGA data) vs hematoxylin and eosin (H&E) tumor image-derived deep learning metrics describing behavior of tumor-infiltrating lymphocytes (TILs; TCGA data)92. Here, BCR is linked to neoplasm.