Development and Validation of a Diagnostic 35-Gene Expression Profile Test for Ambiguous or Difficult-To-Diagnose Suspicious Pigmented Skin Lesions

  • Sarah I. Estrada
  • , Jeffrey B. Shackelton
  • , Nathan J. Cleaver
  • , Natalie D. Depcik-Smith
  • , Clay J. Cockerell
  • , Stephen N. Lencioni
  • , Howard L. Martin
  • , Jeffrey Wilkinson
  • , Lauren Meldi Sholl
  • , Michael D. Berg
  • , Brooke H. Russell
  • , Olga Zolochevska
  • , Kyle R. Covington
  • , Aaron S. Farberg
  • , Matthew S. Goldberg
  • , Pedram Gerami
  • , Gregory A. Hosler

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Purpose: A clinical hurdle for dermatopathology is the accurate diagnosis of melanocytic neoplasms. While histopathologic assessment is frequently sufficient, high rates of diagnostic discordance are reported. The development and validation of a 35-gene expression profile (35-GEP) test that accurately differentiates benign and malignant pigmented lesions is described. Methods: Lesion samples were reviewed by at least three independent dermatopathologists and included in the study if 2/3 or 3/3 diagnoses were concordant. Diagnostic utility of 76 genes was assessed with quantitative RT-PCR; neural network modeling and cross-validation were utilized for diagnostic gene selection using 200 benign nevi and 216 melanomas for training. To reflect the complex biology of melanocytic neoplasia, the 35-GEP test was developed to include an intermediate-risk zone. Results: Validation of the 35-GEP was performed in an independent set of 273 benign and 230 malignant lesions. The test demonstrated 99.1% sensitivity, 94.3% specificity, 93.6% positive predictive value and 99.2% negative predictive value. 96.4% of cases received a differential result and 3.6% had intermediate-risk. Conclusions: The 35-GEP test was developed to refine diagnoses of melanocytic neoplasms by providing clinicians with an objective tool. A test with these accuracy metrics could alleviate uncertainty in difficult-to-diagnose lesions leading to decreased unnecessary procedures while appropriately identifying at-risk patients.

Original languageEnglish
Pages (from-to)506-522
Number of pages17
JournalSKIN: Journal of Cutaneous Medicine
Volume4
Issue number6
DOIs
StatePublished - 15 Nov 2020

Keywords

  • 35-GEP
  • benign nevi
  • diagnostic test
  • melanoma
  • validation

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