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 & 8 others D. Leja, K. Dietrich, C. Beaudry, M. Berens, D. Alberts, V. Sondak, N. Hayward, J. Trent

Research output: Contribution to journalArticle

1608 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)536-540
Number of pages5
JournalNature
Volume406
Issue number6795
DOIs
Publication statusPublished - 3 Aug 2000
Externally publishedYes

Fingerprint

Gene Expression Profiling
Melanoma
Skin
Skin Neoplasms
Cutaneous Malignant Melanoma
Disease Progression
Neoplasms
Gene Expression
Incidence
Genes

ASJC Scopus subject areas

  • General

Cite this

Bittner, M., Meltzer, P., Chen, Y., Jiang, Y., Seftor, E., Hendrix, M., ... Trent, J. (2000). Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature, 406(6795), 536-540. https://doi.org/10.1038/35020115

Molecular classification of cutaneous malignant melanoma by gene expression profiling. / 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.; Hayward, N.; Trent, J.

In: Nature, Vol. 406, No. 6795, 03.08.2000, p. 536-540.

Research output: Contribution to journalArticle

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, Hayward, N & Trent, J 2000, 'Molecular classification of cutaneous malignant melanoma by gene expression profiling', Nature, vol. 406, no. 6795, pp. 536-540. https://doi.org/10.1038/35020115
Bittner M, Meltzer P, Chen Y, Jiang Y, Seftor E, Hendrix M et al. Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature. 2000 Aug 3;406(6795):536-540. https://doi.org/10.1038/35020115
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. ; Hayward, N. ; Trent, J. / Molecular classification of cutaneous malignant melanoma by gene expression profiling. In: Nature. 2000 ; Vol. 406, No. 6795. pp. 536-540.
@article{2bf6b97fedd84ff68f701b42e18df59e,
title = "Molecular classification of cutaneous malignant melanoma by gene expression profiling",
abstract = "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.",
author = "M. Bittner and P. Meltzer and Y. Chen and Y. Jiang and E. Seftor and M. Hendrix and M. Radmacher and R. Simon and Z. Yakhini and A. Ben-Dor and N. Sampas and E. Dougherty and E. Wang and F. Marincola and C. Gooden and J. Lueders and A. Glatfelter and P. Pollock and J. Carpten and E. Gillanders and D. Leja and K. Dietrich and C. Beaudry and M. Berens and D. Alberts and V. Sondak and N. Hayward and J. Trent",
year = "2000",
month = "8",
day = "3",
doi = "10.1038/35020115",
language = "English",
volume = "406",
pages = "536--540",
journal = "Nature",
issn = "0028-0836",
publisher = "Nature Publishing Group",
number = "6795",

}

TY - JOUR

T1 - Molecular classification of cutaneous malignant melanoma by gene expression profiling

AU - Bittner, M.

AU - Meltzer, P.

AU - Chen, Y.

AU - Jiang, Y.

AU - Seftor, E.

AU - Hendrix, M.

AU - Radmacher, M.

AU - Simon, R.

AU - Yakhini, Z.

AU - Ben-Dor, A.

AU - Sampas, N.

AU - Dougherty, E.

AU - Wang, E.

AU - Marincola, F.

AU - Gooden, C.

AU - Lueders, J.

AU - Glatfelter, A.

AU - Pollock, P.

AU - Carpten, J.

AU - Gillanders, E.

AU - Leja, D.

AU - Dietrich, K.

AU - Beaudry, C.

AU - Berens, M.

AU - Alberts, D.

AU - Sondak, V.

AU - Hayward, N.

AU - Trent, J.

PY - 2000/8/3

Y1 - 2000/8/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0034601455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034601455&partnerID=8YFLogxK

U2 - 10.1038/35020115

DO - 10.1038/35020115

M3 - Article

VL - 406

SP - 536

EP - 540

JO - Nature

JF - Nature

SN - 0028-0836

IS - 6795

ER -