Universal Risk Stratification in Stage I–III Cutaneous Melanoma Using 31-gene Expression Profiling: A Single-Center Study - Summary - MDSpire
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Comprehensive Risk Assessment for Stage I–III Cutaneous Melanoma Through 31-Gene Expression Profiling: Insights from a Single-Center Investigation

  • By

  • Daniel B. Gehle

  • Philip W. Morgan

  • Emme M. Fitts

  • Nathaniel L. Hauser

  • Chelsea R. Olson

  • Andrew M. Fleming

  • Julia Pedo Freitas

  • Feng Liu-Smith

  • Simonne S. Nouer

  • Andrew J. Murphy

  • Martin D. Fleming

  • June 1, 2026

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Objective:

To validate the DecisionDx 31-gene expression profiling assay for predicting long-term oncologic outcomes in patients with cutaneous melanoma and to identify sub-groups that may benefit from clinical management changes using GEP.

Approach:
  • Study Design: Retrospective analysis of a prospectively identified cohort of patients with invasive cutaneous melanoma (AJCC clinical stages I–III) referred for 31-GEP testing from 2015 to 2022.
  • Data Collection: Demographic and clinical data were collected, and primary outcomes included recurrence-free survival (RFS), distant metastasis-free survival (DMFS), and melanoma-specific survival (MSS).
Key Findings:
  • GEP serves as an independent predictor of survival outcomes after accounting for other relevant clinicopathologic factors.
  • The study aimed to address limitations in existing literature regarding GEP performance in unselected populations, specifically focusing on recurrence-free survival (RFS), distant metastasis-free survival (DMFS), and melanoma-specific survival (MSS).
Interpretation:

Integration of GEP testing into standard care remains controversial, with calls for more robust, independent data before routine replacement of established staging methods.

Limitations:
  • Lack of prospective validation in unselected populations.
  • Potential biases in industry-funded studies that may affect the generalizability of results.
Conclusion:

The study seeks to validate the 31-GEP assay and identify sub-groups for potential clinical management changes.

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