title: Exploring cancer genomic data from the cancer genome atlas project.
abstract: The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data. [BMB Reports 2016; 49(11): 607-611].
authors.affiliation: Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
authors.forename: Ju-Seog
authors.initials: JS
authors.lastname: Lee
mesh_terms: D056915:DNA Copy Number Variations; D019175:DNA Methylation; D030541:Databases, Genetic; D052138:Genes, Neoplasm; D023281:Genomics; D006801:Humans; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D040901:Proteomics; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism
chemical_list: D035683:MicroRNAs; D012333:RNA, Messenger