Molecular classification of cutaneous malignant melanoma by gene expression profiling
dc.contributor.author | Bittner, M. | en_US |
dc.contributor.author | Meitzer, P. | en_US |
dc.contributor.author | Chen, Y. | en_US |
dc.contributor.author | Jiang, Y. | en_US |
dc.contributor.author | Seftor, E. | en_US |
dc.contributor.author | Hendrix, M. | en_US |
dc.contributor.author | Radmacher, M. | en_US |
dc.contributor.author | Simon, R. | en_US |
dc.contributor.author | Yakhini, Z. | en_US |
dc.contributor.author | Ben-Dor, A. | en_US |
dc.contributor.author | Sampas, N. | en_US |
dc.contributor.author | Dougherty, E. | en_US |
dc.contributor.author | Wang, E. | en_US |
dc.contributor.author | Marincola, F. | en_US |
dc.contributor.author | Gooden, C. | en_US |
dc.contributor.author | Lueders, J. | en_US |
dc.contributor.author | Glatfelter, A. | en_US |
dc.contributor.author | Pollock, P. | en_US |
dc.contributor.author | Carpten, J. | en_US |
dc.contributor.author | Gillanders, Elizabeth M. | en_US |
dc.contributor.author | Leja, D. | en_US |
dc.contributor.author | Dietrich, K. | en_US |
dc.contributor.author | Beaudry, C. | en_US |
dc.contributor.author | Berens, M. | en_US |
dc.contributor.author | Alberts, D. | en_US |
dc.contributor.author | Sondak, Vernon K. | en_US |
dc.contributor.author | Hayward, N. | en_US |
dc.contributor.author | Trent, J. | en_US |
dc.date.accessioned | 2009-06-01T17:34:56Z | |
dc.date.available | 2009-06-01T17:34:56Z | |
dc.date.issued | 2000-08-03 | en_US |
dc.identifier.citation | Bittner, M; Meitzer, P; Chen, Y; Jiang, Y; Seftor, E; Hendrix, M; Radmacher, M; Simon, R; Yakhini, Z; Ben-Dor, A; Sampas, N; Dougherty, E; Wang, E; Marincola, F; Gooden, C; Lueders, J; Glatfelter, A; Pollock, P; Carpten, J; Gillanders, E; Leja, D; Dietrich, K; Beaudry, C; Berens, M; Alberts, D; Sondak, V; Hayward, N; Trent, J. (2000) "Molecular classification of cutaneous malignant melanoma by gene expression profiling." Nature 406(6795): 536-540. <http://hdl.handle.net/2027.42/62743> | en_US |
dc.identifier.issn | 0028-0836 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/62743 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=10952317&dopt=citation | en_US |
dc.description.abstract | The most common human cancers are malignant neoplasms of the skin(1,2). Incidence of cutaneous melanoma is rising especially steeply, with minimal progress in non-surgical treatment of advanced disease(3,4). Despite significant effort to identify independent predictors of melanoma outcome, no accepted histopathological, molecular or immunohistochemical marker defines subsets of this neoplasm(2,3). Accordingly, though melanoma is thought to present with different 'taxonomic' forms, these are considered part of a continuous spectrum rather than discrete entities(2). Here we report the discovery of a subset of melanomas identified by mathematical analysis of gene expression in a series of samples. Remarkably, many genes underlying the classification of this subset are differentially regulated in invasive melanomas that form primitive tubular networks in vitro, a feature of some highly aggressive metastatic melanomas(5). Global transcript analysis can identify unrecognized subtypes of cutaneous melanoma and predict experimentally verifiable phenotypic characteristics that may be of importance to disease progression. | en_US |
dc.format.extent | 338015 bytes | |
dc.format.extent | 2489 bytes | |
dc.format.mimetype | application/octet-stream | |
dc.format.mimetype | text/plain | |
dc.publisher | Macmillan Publishers Ltd. | en_US |
dc.source | Nature | en_US |
dc.title | Molecular classification of cutaneous malignant melanoma by gene expression profiling | en_US |
dc.type | Article | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Univ Michigan, Dept Surg, Ann Arbor, MI 48109 USA | en_US |
dc.contributor.affiliationother | Natl Human Genome Res Inst, Canc Genet Branch, NIH, Bethesda, MD 20892 USA | en_US |
dc.contributor.affiliationother | Univ Iowa, Ctr Canc, Dept Anat & Cell Biol, Iowa City, IA 52242 USA | en_US |
dc.contributor.affiliationother | NCI, DCTDC, NIH, Bethesda, MD 20852 USA | en_US |
dc.contributor.affiliationother | Agilent Labs, Chem & Biol Syst Dept, Palo Alto, CA 94304 USA | en_US |
dc.contributor.affiliationother | Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98105 USA | en_US |
dc.contributor.affiliationother | Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA | en_US |
dc.contributor.affiliationother | NCI, Surg Branch, NIH, Bethesda, MD 20850 USA | en_US |
dc.contributor.affiliationother | Queensland Inst Med Res, Herston, Qld 4029, Australia | en_US |
dc.contributor.affiliationother | Barrow Neurol Inst, Neurooncol Lab, Phoenix, AZ 85013 USA | en_US |
dc.contributor.affiliationother | Univ Arizona, Arizona Canc Ctr, Tucson, AZ 85724 USA | en_US |
dc.identifier.pmid | 10952317 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/62743/1/406536A0.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1038/35020115 | en_US |
dc.identifier.source | Nature | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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