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Updated: Jun 12, 2025
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Predicting who may benefit from adjuvant immunotherapy in stage IIB melanoma
Meredith A Gunder1, Kyle R Stephens1, Walter Donica1
1The Hiram C. Polk, Jr. MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA.
Introduction:
Adjuvant immunotherapy is approved for patients with Stage IIB melanoma but carries risks and costs. The aim of this study was to identify high-risk stage IIB patients to help inform adjuvant immunotherapy decisions.
Methods:
The NCDB was queried to identify patients with stage IIB melanoma. Cox proportional hazards models identified risk factors for overall survival (OS). Conditional inference survival trees were used to create distinct risk groups. These groups were validated for melanoma-specific survival using SEER database.
Results:
12,610 patients were identified in the NCDB with Stage IIB melanoma. Three groups were identified with significant differences in OS: age <54, age ≥54 with MR ≤ 3/mm2, and age ≥54 with MR > 3/mm2. Among the 7599 patients with Stage IIB melanoma in the SEER database, the cumulative incidence of melanoma-specific death at 5 years was significantly different between these groups (12 % vs 15 % vs 20 %).
Conclusions:
Distinct melanoma-specific survival can be identified in stage IIB melanoma patients based on age and mitotic rate. These groups can be considered to inform decision-making for adjuvant therapy.
