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A Prognostic Gene Signature Expressed in Primary Cutaneous Melanoma: Synergism With Conventional Staging
Georg Brunner1, Achim Heinecke2, Thomas M Falk3
1Department of Cancer Research.
JNCI Cancer Spectrum
|July 31, 2019
Summary
A new gene expression profiling (GEP) score accurately predicts melanoma survival. This prognostic tool complements current staging, offering improved clinical outcome assessment for patients with primary cutaneous melanoma.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Current American Joint Committee on Cancer (AJCC) staging for cutaneous melanoma has limitations in predicting clinical outcomes.
- Complementary biomarkers for routine prognostic assessment are lacking.
- Gene signatures identified in fresh-frozen (FF) melanomas were adapted for formalin-fixed paraffin-embedded (FFPE) samples.
Purpose of the Study:
- To develop a gene expression profiling (GEP) score for prognostic assessment of primary cutaneous melanoma.
- To adapt a previously identified gene signature for use with FFPE melanoma tissues.
- To define patient survival probability at the time of initial diagnosis.
Main Methods:
- Expression of 11 FF melanoma signature genes was quantified using reverse transcription polymerase chain reaction in an FFPE training cohort (n=125).
- A prognostic eight-gene signature was identified in tumor and adjacent tissues of AJCC stage I-III melanomas.
- The GEP score was technically and clinically validated in an independent FFPE melanoma cohort (n=211).
Main Results:
- The GEP score correlated significantly with melanoma-specific survival (MSS) (P < .0001).
- The score was independent of tumor stage and stroma content, and complemented AJCC staging (AUC = 0.91).
- In validation, the GEP score remained significant (P = .0131) and demonstrated high reproducibility (93%).
Conclusions:
- The GEP score serves as a clinically significant prognostic tool for melanoma.
- It provides additional prognostic information beyond conventional staging.
- The GEP score enhances the prediction of melanoma-specific survival.
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