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BackgroundAJCC 8th edition substaging might be suboptimal for predicting melanoma progression. Using it to select stage II patients for adjuvant immunotherapy risks overtreating low-risk stage IIB/IIC patients and undertreating high-risk stage IIA patients. Prognostic capability of tumor-infiltrating lymphocytes (TILs) is unclear in stage II melanoma.ObjectiveTo evaluate AJCC substaging and TIL scoring as predictors of progression in stage II melanoma.MethodsRetrospective cohort study of 366 SLN(-) stage II melanoma patients from four UK hospitals (2004-2017), with long-term follow-up.Results23% of melanomas progressed (median 9.5-year follow-up). Among those, 41.5% were stage IIA, 41.5% IIB, and 17.1% IIC. TIL scoring independently predicted progression risk (non-brisk vs brisk: OR 0.298,p=0.009; non-brisk vs absent: OR 0.436,p=0.049) and PFS. Non-brisk TILs, present in 80% of progressing tumors, denoted high risk. TIL scoring split patients into high and low risk across substages: stage IIA patients with non-brisk TILs had similar 5-year PFS to stage IIB/IIC patients with absent/brisk TILs.LimitationsRetrospective study design and unknown generalizability.ConclusionStage II melanoma progression is poorly predicted by AJCC 8 substage. TIL scoring offers improved risk stratification across substages and could serve as a cost-effective method to better identify patients who may benefit from adjuvant immunotherapies.

Original publication

DOI

10.1016/j.jaad.2025.03.046

Type

Journal

Journal of the American Academy of Dermatology

Publication Date

03/2025

Addresses

Translational Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom; Department of Plastic Surgery, The Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom; Stoke Mandeville Hospital, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom. Electronic address: george.adigbli@nds.ox.ac.uk.