1. Molecular characterization of fast-growing melanomas
- Author
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Anderson Loundou, Gabriela Gremel, Richard Marais, Martin G. Cook, Caroline Gaudy-Marqueste, Eduardo Nagore, Nicolas Macagno, Piyushkumar A. Mundra, Timothy Budden, Victoria Akhras, L'Houcine Ouafik, Lijing Lin, J.J. Grob, Eric Pellegrino, Rajesh Kumar, Amaya Viros, Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance Publique - Hôpitaux de Marseille (APHM), Centre d'études et de recherche sur les services de santé et la qualité de vie (CEReSS), Aix Marseille Université (AMU), Laboratoire de Transfert d'Oncologie Biologique [Hôpital Nord - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital Nord [CHU - APHM], Institut de neurophysiopathologie (INP), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Cancer Research UK Manchester Institute, University of Manchester [Manchester], St George’s University Hospitals, Faculty of Biology, Medicine and Health [Manchester, UK], German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), and Instituto Valenciano de Oncologia
- Subjects
Oncology ,medicine.medical_specialty ,Skin Neoplasms ,medicine.medical_treatment ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Dermatology ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Melanoma ,ComputingMilieux_MISCELLANEOUS ,030304 developmental biology ,0303 health sciences ,business.industry ,Tumor biology ,Fibroblast growth factor receptor 2 ,Prognosis ,medicine.disease ,Methods observational ,3. Good health ,030220 oncology & carcinogenesis ,Mutation ,business ,Adjuvant ,Memory bias ,Rate of growth - Abstract
Background The rate of growth of primary melanoma is a robust predictor of aggressiveness, but the mutational profile of fast-growing melanomas (FGMM) and the potential to stratify patients at high risk of death has not been comprehensively studied. Objective To investigate the epidemiologic, clinical, and mutational profile of primary cutaneous melanomas with a thickness ≥ 1 mm, stratified by rate of growth. Methods Observational prospective study. Deep-targeted sequencing of 40 melanoma driver genes on formalin fixed, paraffin-embedded primary melanoma samples. Comparison of FGMM (rate of growth > 0.5 mm/month) and nonFGMM (rate of growth ≤ 0.5 mm/month). Results Two hundred patients were enrolled, among wom 70 had FGMM. The relapse-free survival was lower in the FGMM group (P = .014). FGMM had a higher number of predicted deleterious mutations within the 40 genes than nonFGMM (P = .033). Ulceration (P = .032), thickness (P = .006), lower sun exposure (P = .049), and fibroblast growth factor receptor 2 (FGFR2) mutations (P = .037) were significantly associated with fast growth. Limitations Single-center study, cohort size, potential memory bias, number of investigated genes. Conclusion Fast growth is linked to specific tumor biology and environmental factors. Ulceration, thickness, and FGFR2 mutations are associated with fast growth. Screening for FGFR2 mutations might provide an additional tool to better identify FGMM, which are probably good candidates for adjuvant therapies.
- Published
- 2022
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