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31-Gene expression profiling for cutaneous melanoma: an expert consensus panel.
Joshua Burshtein1, Clay Cockerell2, David Cotter3
1Department of Dermatology, University of Illinois-Chicago, Chicago, IL, USA.
Dermatology Online Journal
|February 23, 2026
Summary
The 31-gene expression profiling (31-GEP) test offers strong prognostic value for invasive melanoma. This test improves melanoma prognosis assessment, even when traditional factors are unknown, supporting its use as a best practice.
Area of Science:
- Oncology
- Dermatology
- Genomics
Background:
- Invasive melanoma prognosis relies on traditional factors like tumor thickness.
- Accurate prognostic tools are crucial for effective melanoma management.
- The 31-gene expression profiling (31-GEP) test has emerged as a potential prognostic biomarker.
Purpose of the Study:
- To review and synthesize published literature on the clinical efficacy, use, and accuracy of the 31-GEP test for invasive melanoma.
- To establish consensus-based recommendations for the application of 31-GEP testing in melanoma patient management.
Main Methods:
- A comprehensive literature search was conducted using specific keywords related to 31-GEP testing and melanoma prognosis.
- A panel of 10 expert dermatologists reviewed selected articles and developed consensus statements.
- A modified Delphi process with real-time voting and strength of recommendation assignment was employed to approve statements.
Main Results:
- Out of 150 articles identified, 26 met the inclusion criteria for the review.
- The expert panel unanimously adopted 9 consensus statements and recommendations for 31-GEP testing.
- Eight recommendations received strength 'A' and one received strength 'C'.
Conclusions:
- There is strong evidence supporting the use of 31-GEP testing for prognostic information in invasive melanoma.
- The 31-GEP test enhances prognostic accuracy, particularly when traditional factors are indeterminate or when combined with AJCC staging.
- The test is associated with improved melanoma-specific mortality and overall survival, supporting its role as a best practice.
Keywords:
31-gene expression profilingclinical utilitymelanomaprognosisrisk stratificationsentinel lymph node biopsy
