Figure 1. Integrated data set for the comparison and contrast of multiple tumour types.
The Pan-Cancer project assembled data from thousands of patients with primary tumours occurring in different sites of the body covering twelve tumour types (upper left panel) including glioblastoma multiform (GBM), lymphoblastic acute myeloid leukemia (LAML), head and neck squamous carcinoma (HNSC), lung adenocarcinoma (LUAD), lung squamous carcinoma (LUSC), breast carcinoma (BRCA), kidney renal clear cell carcinoma (KIRC), ovarian carcinoma (OV), bladder carcinoma (BLCA), colon adenocarcinoma (COAD), uterine cervical and endometrial carcinoma (UCEC), and rectal adenocarcinoma (READ). Six platforms of omics characterizations were performed creating a “data stack” (upper right panel) in which data elements across the platforms are linked by the fact that tissue material from the same samples were assayed, thus maximizing the potential of integrative analysis. Use of the data enables the identification of general trends including common pathways (lower panel) revealing master regulatory hubs activated (red) or deactivated (blue) across different tissue types.