Molecular classification of cutaneous malignant melanoma by gene expression profiling

M. Bittner (), P. Meltzer, Y. Chen, Y. Jiang, E. Seftor, M. Hendrix, M. Radmacher, R. Simon, Z. Yakhini, A. Ben-Dor, N. Sampas, E. Dougherty, E. Wang, F. Marincola, C. Gooden, J. Lueders, A. Glatfelter, P. Pollock, J. Carpten, E. Gillanders, D. Leja, K. Dietrich, Catherine Beaudry, M. Berens, D. Alberts, V. Sondak, N. Hayward and J. Trent ()
Additional contact information
M. Bittner: Cancer Genetics Branch, National Human Genome Research Institute, NIH
P. Meltzer: Cancer Genetics Branch, National Human Genome Research Institute, NIH
Y. Chen: Cancer Genetics Branch, National Human Genome Research Institute, NIH
Y. Jiang: Cancer Genetics Branch, National Human Genome Research Institute, NIH
E. Seftor: Department of Anatomy and Cell Biology University of Iowa Cancer Center
M. Hendrix: Department of Anatomy and Cell Biology University of Iowa Cancer Center
M. Radmacher: National Cancer Institute, DCTDC, NIH
R. Simon: National Cancer Institute, DCTDC, NIH
Z. Yakhini: Chemical and Biological Systems Department Agilent Laboratories
A. Ben-Dor: Chemical and Biological Systems Department Agilent Laboratories
N. Sampas: Chemical and Biological Systems Department Agilent Laboratories
E. Dougherty: Department of Electrical Engineering Texas A & M University
E. Wang: National Cancer Institute, Surgery Branch, NIH
F. Marincola: National Cancer Institute, Surgery Branch, NIH
C. Gooden: Cancer Genetics Branch, National Human Genome Research Institute, NIH
J. Lueders: Cancer Genetics Branch, National Human Genome Research Institute, NIH
A. Glatfelter: Cancer Genetics Branch, National Human Genome Research Institute, NIH
P. Pollock: Queensland Institute of Medical Research
J. Carpten: Cancer Genetics Branch, National Human Genome Research Institute, NIH
E. Gillanders: Cancer Genetics Branch, National Human Genome Research Institute, NIH
D. Leja: Cancer Genetics Branch, National Human Genome Research Institute, NIH
K. Dietrich: Cancer Genetics Branch, National Human Genome Research Institute, NIH
M. Berens: Neuro-Oncology Laboratory, Barrow Neurological Institute
D. Alberts: Arizona Cancer Center, University of Arizona
V. Sondak: University of Michigan
N. Hayward: Queensland Institute of Medical Research
J. Trent: Cancer Genetics Branch, National Human Genome Research Institute, NIH

Nature, 2000, vol. 406, issue 6795, 536-540

Abstract: Abstract The most common human cancers are malignant neoplasms of the skin1,2. Incidence of cutaneous melanoma is rising especially steeply, with minimal progress in non-surgical treatment of advanced disease3,4. Despite significant effort to identify independent predictors of melanoma outcome, no accepted histopathological, molecular or immunohistochemical marker defines subsets of this neoplasm2,3. Accordingly, though melanoma is thought to present with different ‘taxonomic’ forms, these are considered part of a continuous spectrum rather than discrete entities2. 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 melanomas5. Global transcript analysis can identify unrecognized subtypes of cutaneous melanoma and predict experimentally verifiable phenotypic characteristics that may be of importance to disease progression.

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://www.nature.com/articles/35020115 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:406:y:2000:i:6795:d:10.1038_35020115

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/35020115

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().