Fig. 1.

The cancer matrisome. (a) Heatmap of the expression of 820 matrisome genes in 10,487 cases from 32 tumor types. The matrisome category of each gene is given on the right as black bars, while tumor types and system of the body from which each tumor originates are color-coded and placed on top of the heatmap. The distance metrics for hierarchical clustering is 1-Pearson correlation (r). Abbreviations: ACC, adrenocortical cancer; BLCA, bladder urothelial carcinoma; BRCA, breast invasive carcinoma; CESC, cervical and endocervical cancer; CHOL, cholangiocarcinoma; COAD, colon adenocarcinoma; ESCA, esophageal carcinoma; GBM, glioblastoma multiforme; HNSC, head & neck squamous cell carcinoma; KICH, kidney chromophobe; KIRC, kidney clear cell carcinoma; KIRP, kidney papillary cell carcinoma; LAML, acute myeloid leukemia; LGG, brain lower grade glioma; LIHC, liver hepatocellular carcinoma; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; MESO, mesothelioma; OV, ovarian serous cystadenocarcinoma; PAAD, pancreatic adenocarcinoma; PCPG, pheochromocytoma & paraganglioma; PRAD, prostate adenocarcinoma; READ, rectum adenocarcinoma; SARC, sarcoma; SKCM, skin cutaneous melanoma; STAD, stomach adenocarcinoma; TGCT, testicular germ cell tumor; THCA, thyroid carcinoma; THYM, thymoma; UCEC, uterine corpus endometrioid carcinoma; UCS, uterine carcinosarcoma; UVM, uveal melanoma. BM, basement membranes; C, collagens; EA, ECM-affiliated; EG, ECM glycoproteins; ER, ECM regulators; P, proteoglycans; SF, secreted factors. (b) Multidimensional scaling of the data in (a) by T-distributed Stochastic Neighbor Embedding (t-SNE). (c) Inter-tumor correlation (Pearson correlation (r)) based on the 100 most-expressed matrisome genes in each tumor type. Clusters of highly correlated tumor types are reported as colored squares.