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Updated: Mar 10, 2026

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A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
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Universal Risk Stratification in Stage I-III Cutaneous Melanoma Using 31-gene Expression Profiling: A Single-Center
Daniel B Gehle1,2, Philip W Morgan1, Emme M Fitts3
1Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA.
Journal of Surgical Oncology
|March 9, 2026
Summary
Gene expression profiling (GEP) accurately predicts recurrence and survival in cutaneous melanoma (CM). However, GEP is not predictive for all outcomes in Stage II disease and should not be used for Stage IA patients.
Area of Science:
- Oncology
- Dermatology
- Genomics
Background:
- Early-stage cutaneous melanoma (CM) patients have a low individual risk but contribute to most distant recurrences.
- The role of gene expression profiling (GEP) in risk stratification and clinical management for CM is not well-defined.
Purpose of the Study:
- To evaluate the utility of DecisionDx 31-GEP for risk stratification in early-stage cutaneous melanoma.
- To assess GEP's predictive value for recurrence-free survival (RFS), distant metastasis-free survival (DMFS), and melanoma-specific survival (MSS).
Main Methods:
- A cohort of 689 CM patients from 2015-2022 underwent GEP testing.
- Kaplan-Meier and Cox proportional hazards models analyzed RFS, DMFS, and MSS.
- Secondary outcomes included sentinel lymph node biopsy (SLNB) positivity and recurrence patterns.
Main Results:
- GEP was a significant predictor of RFS, DMFS, and MSS across different classes (Class 1B/2A and Class 2B).
- Stage IA patients showed no significant predictive value from GEP.
- Older Class 1A patients with SLNB indications had lower SLNB positivity rates.
Conclusions:
- GEP is a robust predictor of recurrence and survival in CM, but its utility varies by stage, particularly in Stage II disease.
- GEP testing is not recommended for Stage IA patients.
- Older patients with low-risk GEP may be candidates for SLNB avoidance, while Class 2B patients represent a high-risk group.

