Abstract

BackgroundHistopathologic examination is sometimes inadequate for accurate and reproducible diagnosis of certain melanocytic neoplasms. As a result, more sophisticated and objective methods have been sought. The goal of this study was to identify a gene expression signature that reliably differentiated benign and malignant melanocytic lesions and evaluate its potential clinical applicability. Herein, we describe the development of a gene expression signature and its clinical validation using multiple independent cohorts of melanocytic lesions representing a broad spectrum of histopathologic subtypes.MethodsUsing quantitative reverse‐transcription polymerase chain reaction (PCR) on a selected set of 23 differentially expressed genes, and by applying a threshold value and weighting algorithm, we developed a gene expression signature that produced a score that differentiated benign nevi from malignant melanomas.ResultsThe gene expression signature classified melanocytic lesions as benign or malignant with a sensitivity of 89% and a specificity of 93% in a training cohort of 464 samples. The signature was validated in an independent clinical cohort of 437 samples, with a sensitivity of 90% and specificity of 91%.ConclusionsThe performance, objectivity, reliability and minimal tissue requirements of this test suggest that it could have clinical application as an adjunct to histopathology in the diagnosis of melanocytic neoplasms.

Highlights

  • Histopathologic evaluation is considered the ‘gold standard’ for the diagnosis of melanocytic lesions; many studies demonstrate di culties in determining a diagnosis when histopathology is used alone

  • The quantitative measurement of biomarker gene expression has been proposed as an adjunctive diagnostic method in the evaluation of ambiguous melanocytic lesions

  • All testing was performed on archival FFPE tissue sections of melanocytic lesions

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Summary

BACKGROUND

Histopathologic evaluation is considered the ‘gold standard’ for the diagnosis of melanocytic lesions; many studies demonstrate di culties in determining a diagnosis when histopathology is used alone. The quantitative measurement of biomarker gene expression has been proposed as an adjunctive diagnostic method in the evaluation of ambiguous melanocytic lesions. This study aimed to clinically validate a 23-gene expression signature capable of accurately and objectively di erentiating malignant melanoma and benign nevi

METHODS
RESULTS
Validation
CONCLUSIONS
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