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Research Article

A multi-marker assay to distinguish malignant melanomas from benign nevi

Mohammed Kashani-Sabet, Javier Rangel, Sima Torabian, Mehdi Nosrati, Jeff Simko, David M. Jablons, Dan H. Moore, Chris Haqq, James R. Miller III, and Richard W. Sagebiel
PNAS April 14, 2009 106 (15) 6268-6272; https://doi.org/10.1073/pnas.0901185106
Mohammed Kashani-Sabet
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  • For correspondence: kashanim@derm.ucsf.edu
Javier Rangel
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Sima Torabian
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Mehdi Nosrati
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Jeff Simko
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David M. Jablons
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Dan H. Moore
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Chris Haqq
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James R. Miller
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Richard W. Sagebiel
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  1. Communicated by James E. Cleaver, University of California, San Francisco, CA, February 3, 2009 (received for review August 27, 2008)

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Abstract

The histopathological diagnosis of melanoma can be challenging. No currently used molecular markers accurately distinguish between nevus and melanoma. Recent transcriptome analyses have shown the differential expression of several genes in melanoma progression. Here, we describe a multi-marker diagnostic assay using 5 markers (ARPC2, FN1, RGS1, SPP1, and WNT2) overexpressed in melanomas. Immunohistochemical marker expression was analyzed in 693 melanocytic neoplasms comprising a training set (tissue microarray of 534 melanomas and nevi), and 4 independent validation sets: tissue sections of melanoma arising in a nevus; dysplastic nevi; Spitz nevi; and misdiagnosed melanocytic neoplasms. Both intensity and pattern of expression were scored for each marker. Based on the differential expression of these 5 markers between nevi and melanomas in the training set, a diagnostic algorithm was obtained. Using this algorithm, the lesions in the validation sets were diagnosed as nevus or melanoma, and the results were compared with the known histological diagnoses. Both the intensity and pattern of expression of each marker were significantly different in melanomas compared to nevi. The diagnostic algorithm exploiting these differences achieved a specificity of 95% and a sensitivity of 91% in the training set. In the validation sets, the multi-marker assay correctly diagnosed a high percentage of melanomas arising in a nevus, Spitz nevi, dysplastic nevi, and misdiagnosed lesions. The multi-marker assay described here can aid in the diagnosis of melanoma.

Keywords:
  • biomarkers
  • diagnosis
  • microarray analysis

Footnotes

  • 1To whom correspondence should be addressed at:
    Comprehensive Cancer Center, University of California, 1600 Divisadero Street 2nd Floor, Box 1706, San Francisco, CA 94115.
    E-mail: kashanim{at}derm.ucsf.edu
  • Author contributions: M.K.-S., C.H., J.R.M., and R.W.S. designed research; M.K.-S., J.R., S.T., M.N., J.S., and R.W.S. performed research; D.H.M. and J.R.M. contributed new reagents/analytic tools; M.K.-S., J.R., M.N., D.M.J., D.H.M., C.H., J.R.M., and R.W.S. analyzed data; and M.K.-S., J.R., J.S., D.M.J., D.H.M., C.H., J.R.M., and R.W.S. wrote the paper.

  • Conflict of interest statement: M.K.-S. has stock in Melanoma Diagnostics, Inc. J.R.M. has ownership interest in MDMS.

  • Freely available online through the PNAS open access option.

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A multi-marker assay to distinguish malignant melanomas from benign nevi
Mohammed Kashani-Sabet, Javier Rangel, Sima Torabian, Mehdi Nosrati, Jeff Simko, David M. Jablons, Dan H. Moore, Chris Haqq, James R. Miller, Richard W. Sagebiel
Proceedings of the National Academy of Sciences Apr 2009, 106 (15) 6268-6272; DOI: 10.1073/pnas.0901185106

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A multi-marker assay to distinguish malignant melanomas from benign nevi
Mohammed Kashani-Sabet, Javier Rangel, Sima Torabian, Mehdi Nosrati, Jeff Simko, David M. Jablons, Dan H. Moore, Chris Haqq, James R. Miller, Richard W. Sagebiel
Proceedings of the National Academy of Sciences Apr 2009, 106 (15) 6268-6272; DOI: 10.1073/pnas.0901185106
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