The 31-gene expression profile for identification of real-world node-negative patients with stage I-IIA cutaneous melanoma who have a higher risk of death: A SEER collaboration.

e21593 Background: Most patients with stage I-IIA (tumor stage T1-T3a) cutaneous melanoma (CM) have good overall outcomes, and current guidelines do not recommend increased surveillance or systemic therapies for these patients with early-stage disease. However, a significant subset (~16%) of sentinel lymph node negative patients who are ineligible for advanced imaging experience metastasis and/or melanoma-specific death. In collaboration with the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program, we analyzed whether the 31-gene expression profile (31-GEP) identifies early-stage patients at increased risk of melanoma-specific mortality (MSM) or all-cause mortality (ACM) who may benefit most from more risk-aligned disease management plans. Methods: We analyzed data from node-negative patients with stage I-IIA CM who were clinically tested with the 31-GEP (2013-2019) and linked to the SEER registry database (n = 8,896). Five-year melanoma-specific survival (MSS) and overall survival (OS) were estimated using Kaplan-Meier analysis and compared between groups using the log-rank test. Multivariable Cox regression analysis was used to evaluate significant predictors of MSM and ACM (*p < 0.05, **p < 0.001). Results: The 31-GEP significantly stratified risk of death in node-negative patients with stage I-IIA CM (p < 0.001). The 5-year MSS for a Class 1A result was 98.8% compared with 96.1% for Class 1B/2A and 93.4% for Class 2B results. The 31-GEP also significantly stratified 5-year OS (p < 0.001) for Class 1A (93.5%), Class 1B/2A (88.7%), and Class 2B (81.1%). In multivariable analysis, 31-GEP Class 1B/2A (HR = 2.34*), Class 2B (HR = 2.94*), and age (HR = 1.04**) were significant predictors of MSM. The 31-GEP Class 2B (HR = 1.68*), Breslow thickness (HR = 1.23*), and age (HR = 1.09**) were significant predictors of ACM. Conclusions: In a large, real-world cohort of patients with early-stage, node-negative CM, the 31-GEP identified patients at increased risk of death, including melanoma-specific death. These patients with lower-stage disease and a high-risk 31-GEP result may benefit from more intensive surveillance and follow-up schedules. No variable was more predictive of death from melanoma than Class 2B results, even Breslow thickness. Critically, these findings suggest that a reconsideration of current indications for adjuvant therapies, including the highest risk 31-GEP signature, may be warranted.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e21593
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

The 31-gene expression profile for identification of real-world node-negative patients with stage I-IIA cutaneous melanoma who have a higher risk of death: A SEER collaboration.

Valentina I. Petkov, Stanley P. L. Leong, Andrew Joseph Ward, J. Michael Guenther et al.
Journal of Clinical Oncology
Cutaneous Melanoma Detection and Management
article

The 31-gene expression profile for identification of real-world node-negative patients with stage I-IIA cutaneous melanoma who have a higher risk of death: A SEER collaboration.

Valentina I. Petkov, Stanley P. L. Leong, Andrew Joseph Ward, J. Michael Guenther, Brian Martin
article en

Abstract

e21593 Background: Most patients with stage I-IIA (tumor stage T1-T3a) cutaneous melanoma (CM) have good overall outcomes, and current guidelines do not recommend increased surveillance or systemic therapies for these patients with early-stage disease. However, a significant subset (~16%) of sentinel lymph node negative patients who are ineligible for advanced imaging experience metastasis and/or melanoma-specific death. In collaboration with the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program, we analyzed whether the 31-gene expression profile (31-GEP) identifies early-stage patients at increased risk of melanoma-specific mortality (MSM) or all-cause mortality (ACM) who may benefit most from more risk-aligned disease management plans. Methods: We analyzed data from node-negative patients with stage I-IIA CM who were clinically tested with the 31-GEP (2013-2019) and linked to the SEER registry database (n = 8,896). Five-year melanoma-specific survival (MSS) and overall survival (OS) were estimated using Kaplan-Meier analysis and compared between groups using the log-rank test. Multivariable Cox regression analysis was used to evaluate significant predictors of MSM and ACM (*p < 0.05, **p < 0.001). Results: The 31-GEP significantly stratified risk of death in node-negative patients with stage I-IIA CM (p < 0.001). The 5-year MSS for a Class 1A result was 98.8% compared with 96.1% for Class 1B/2A and 93.4% for Class 2B results. The 31-GEP also significantly stratified 5-year OS (p < 0.001) for Class 1A (93.5%), Class 1B/2A (88.7%), and Class 2B (81.1%). In multivariable analysis, 31-GEP Class 1B/2A (HR = 2.34*), Class 2B (HR = 2.94*), and age (HR = 1.04**) were significant predictors of MSM. The 31-GEP Class 2B (HR = 1.68*), Breslow thickness (HR = 1.23*), and age (HR = 1.09**) were significant predictors of ACM. Conclusions: In a large, real-world cohort of patients with early-stage, node-negative CM, the 31-GEP identified patients at increased risk of death, including melanoma-specific death. These patients with lower-stage disease and a high-risk 31-GEP result may benefit from more intensive surveillance and follow-up schedules. No variable was more predictive of death from melanoma than Class 2B results, even Breslow thickness. Critically, these findings suggest that a reconsideration of current indications for adjuvant therapies, including the highest risk 31-GEP signature, may be warranted.

Journal of Clinical OncologyVol. 44(16_suppl)
National Institutes of Health (US), California Pacific Medical Center (US), University of Tennessee Medical Center (US), St. Elizabeth Healthcare (US), National Cancer Institute (US), University of Tennessee at Knoxville (US)
Castle Biosciences
Good health and well-being
Openalex Percentile: Top 7%
Cutaneous Melanoma Detection and Management
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