Thorsson et al. conducted an extensive immunogenomic analysis of over 10,000 tumors from 33 cancer types using data from the TCGA. They identified six distinct immune subtypes: Wound Healing, IFN-γ Dominant, Inflammatory, Lymphocyte Depleted, Immunologically Quiet, and TGF-β Dominant. These subtypes are characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratios, intratumoral heterogeneity, aneuploidy, neoantigen load, cell proliferation, immunomodulatory gene expression, and prognosis. Specific driver mutations were found to correlate with lower or higher leukocyte levels across all cancers. The study also revealed that multiple control modalities of intracellular and extracellular networks, including transcription, microRNAs, copy number, and epigenetic processes, are involved in tumor-immune cell interactions. The immunogenomics pipeline and data are intended to serve as a resource for future targeted studies to advance the field of immunotherapy.Thorsson et al. conducted an extensive immunogenomic analysis of over 10,000 tumors from 33 cancer types using data from the TCGA. They identified six distinct immune subtypes: Wound Healing, IFN-γ Dominant, Inflammatory, Lymphocyte Depleted, Immunologically Quiet, and TGF-β Dominant. These subtypes are characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratios, intratumoral heterogeneity, aneuploidy, neoantigen load, cell proliferation, immunomodulatory gene expression, and prognosis. Specific driver mutations were found to correlate with lower or higher leukocyte levels across all cancers. The study also revealed that multiple control modalities of intracellular and extracellular networks, including transcription, microRNAs, copy number, and epigenetic processes, are involved in tumor-immune cell interactions. The immunogenomics pipeline and data are intended to serve as a resource for future targeted studies to advance the field of immunotherapy.