Supplementary Data include: 1, Supplementary Methods: a detailed description of data processing, computational analysis, and web interface functions; 2, Supplementary References; 3, Supplementary Figures 1-6: Fig. S1: Cancer sample reclustering; Fig. S2: Cancer type reannotation; Fig. S3: TF target prediction in cancer; Fig. S4: Snapshot of the Cistrome Cancer TF target prediction webpage; Fig. S5: FOXM1, a pan-cancer active TF; Fig. S6: Distinct patterns of immune cell infiltration in kidney and colorectal cancers; and 4, Supplementary Table 1: Cancer Type Abbreviations.
ARTICLE ABSTRACTCancer results from a breakdown of normal gene expression control, so the study of gene regulation is critical to cancer research. To gain insight into the transcriptional and epigenetic factors regulating abnormal gene expression patterns in cancers, we developed the Cistrome Cancer web resource (http://cistrome.org/CistromeCancer/). We conducted the systematic integration and modeling of over 10,000 tumor molecular profiles from The Cancer Genome Atlas (TCGA) with over 23,000 ChIP-seq and chromatin accessibility profiles from our Cistrome collection. The results include reconstruction of functional enhancer profiles, “super-enhancer” target genes, as well as predictions of active transcription factors and their target genes for each TCGA cancer type. Cistrome Cancer reveals novel insights from integrative analyses combining chromatin profiles with tumor molecular profiles and will be a useful resource to the cancer gene regulation community. Cancer Res; 77(21); e19–22. ©2017 AACR.