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Genomics in Assessing Melanoma Prognosis
Angela Rosenberg1, Danny Zakria2, Lauren DeBusk1
1Department of Dermatology, University of Texas Southwestern Medical Center, 5939 Harry Hines Boulevard 4th Floor Suite 100, Dallas, TX 75204, USA.
Dermatologic Clinics
|June 28, 2025
Summary
Gene expression profiling (GEP) tests improve melanoma prognosis by assessing recurrence risk. These genomic tools aid clinical decisions, personalizing patient management and potentially improving survival outcomes.
Area of Science:
- Genomic medicine
- Dermatology
- Cancer research
Background:
- Melanoma prognosis traditionally relies on staging, but genomic advancements offer refined risk assessment.
- Gene expression profiling (GEP) tests identify genetic alterations impacting melanoma progression and treatment.
- GEP tests like 31-GEP, 11-GEP, and 8-GEP + CP stratify patients by metastasis risk.
Purpose of the Study:
- To evaluate the role of GEP tests in refining melanoma prognosis and clinical decision-making.
- To assess the impact of GEP on guiding treatment strategies and patient surveillance.
- To review the prognostic accuracy and challenges associated with GEP adoption in melanoma.
Main Methods:
- Analysis of genomic data and gene expression profiling results.
- Correlation of GEP findings with patient outcomes, including recurrence and survival.
- Review of clinical utility in sentinel lymph node biopsy, surveillance, and adjuvant therapy decisions.
Main Results:
- GEP tests demonstrate significant prognostic accuracy, refining traditional melanoma staging.
- GEP stratification effectively identifies patients at high risk for recurrence and metastasis.
- Clinical decision-making for sentinel lymph node biopsy, surveillance, and adjuvant therapy is enhanced by GEP results.
Conclusions:
- GEP tests are valuable tools for personalizing melanoma management and improving prognostic accuracy.
- Integrating genomic data with traditional staging offers a path toward more precise patient care.
- Addressing challenges such as cost and validation is crucial for broader GEP test adoption in clinical practice.

