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Lee, Semin
Computational Biology Lab.
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The Cancer Genome Atlas Pan-Cancer analysis project

Author(s)
Weinstein, John N.Collisson, Eric A.Mills, Gordon B.Shaw, Kenna R. MillsOzenberger, Brad A.Ellrott, KyleShmulevich, IlyaSander, ChrisLee, SeminStuart, Joshua M.
Issued Date
2013-10
DOI
10.1038/ng.2764
URI
https://scholarworks.unist.ac.kr/handle/201301/18885
Fulltext
http://www.nature.com/ng/journal/v45/n10/full/ng.2764.html
Citation
NATURE GENETICS, v.45, no.10, pp.1113 - 1120
Abstract
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile
Publisher
NATURE PUBLISHING GROUP
ISSN
1061-4036
Keyword
SQUAMOUS-CELL CARCINOMAHUMAN BREAST-TUMORSLUNG-CANCERMOLECULAR PORTRAITSDRUG-SENSITIVITYPROSTATE-CANCERMUTATIONSGENEIDENTIFICATIONHALLMARKS

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