Molecular classification of cutaneous malignant melanoma by gene expression profiling.

Published

Journal Article

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

Full Text

Duke Authors

Cited Authors

  • Bittner, M; Meltzer, 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

Published Date

  • August 2000

Published In

Volume / Issue

  • 406 / 6795

Start / End Page

  • 536 - 540

PubMed ID

  • 10952317

Pubmed Central ID

  • 10952317

Electronic International Standard Serial Number (EISSN)

  • 1476-4687

International Standard Serial Number (ISSN)

  • 0028-0836

Digital Object Identifier (DOI)

  • 10.1038/35020115

Language

  • eng