Funding sources Support for this investigation was provided by DermTech International, Inc. (La Jolla, CA, U.S.A.), who also provided the tape strip packets used for sample collection.
CLINICAL AND LABORATORY INVESTIGATIONS
Noninvasive genomic detection of melanoma
Article first published online: 25 MAR 2011
© 2011 The Authors. BJD © 2011 British Association of Dermatologists 2011
British Journal of Dermatology
Volume 164, Issue 4, pages 797–806, April 2011
How to Cite
Wachsman, W., Morhenn, V., Palmer, T., Walls, L., Hata, T., Zalla, J., Scheinberg, R., Sofen, H., Mraz, S., Gross, K., Rabinovitz, H., Polsky, D. and Chang, S. (2011), Noninvasive genomic detection of melanoma. British Journal of Dermatology, 164: 797–806. doi: 10.1111/j.1365-2133.2011.10239.x
Conflicts of interest W.W. was a recipient of research support from a UC Discovery award, co-sponsored by the University of California and DermTech International, and is an uncompensated member of the DermTech scientific advisory board; T.P. and S.C. are employees of DermTech and have DermTech stock options; J.Z. owns stock in DermTech; H.R. was an uncompensated member of DermTech’s melanoma advisory board, is a member of the scientific advisory board of Mela Sciences, and receives research support from Mela Sciences, Lucid, Spectral Image, Inc. and SciBase AB; D.P. is a member of DermTech’s melanoma advisory board; V.M. is a consultant to DermTech.
Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms
- Issue published online: 4 APR 2011
- Article first published online: 25 MAR 2011
- Accepted manuscript online: 5 FEB 2011 03:59AM EST
- Accepted for publication 21 January 2011
Figure S1. Photomicrographs of a melanoma, not identified on initial histopathological evaluation, which was detected by the 17-gene melanoma classifier.
Table S1. Table of 312 differentially expressed genes between melanomas, naevi and normal skin specimens.
Table S2. Table of 422 differentially expressed genes between melanomas and naevi.
Table S3. Table of 168 genes identified by the TreeNet analysis in the training set.
Table S4. Description of the 17-gene melanoma classifier.
Data S1. Details of strategy for melanoma class prediction modelling.
Data S2. Assay of melanoma and nonmelanoma specimens by quantitative real-time reverse transcription–polymerase chain reaction using the 17-gene classifier recapitulates microarray results.
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