Sentinel lymph node biopsy is unreliable in predicting melanoma mortality for both younger and older patients.


Journal

Journal of the European Academy of Dermatology and Venereology : JEADV
ISSN: 1468-3083
Titre abrégé: J Eur Acad Dermatol Venereol
Pays: England
ID NLM: 9216037

Informations de publication

Date de publication:
03 Jan 2024
Historique:
received: 28 06 2023
accepted: 13 11 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: aheadofprint

Résumé

Melanoma disease patterns vary with patient age. To evaluate sentinel lymph node biopsy (SLNB) in managing melanoma at differing patient ages. Online prediction tools were applied to compare SLNB positivity (SLNB Regardless of tumour thickness, predicted SLNB If 1000 20-year-olds with a 0.4 mm thickness non-ulcerated melanoma underwent SLNB, 100 would likely be positive. If all 100 were to be offered adjuvant drug therapy (ADT), fewer than three more melanoma deaths in those 1000 patients would be avoided. In total, 97 patients would have received medication they may never have needed. If 1000 80-year-olds with a 3 mm thickness non-ulcerated melanoma underwent SLNB, only 40 would likely be positive. In total, 274 patients would be predicted to die of melanoma, 245 being SLNB negative and 29 SLNB The authors relied on published risk data. SLNB has poor specificity at predicting mortality in young melanoma patients and poor sensitivity in older patients. SLNB is not indicated in managing cutaneous melanoma for patients under 40 or over 60 years of age. Many such patients could be managed with wide local excision alone in their clinician's office-based practice. For all cutaneous melanoma patients at all ages, linking ADT to BAUSSS biomarker, (an algorithm of Breslow thickness, age, ulceration, subtype, sex and Site) rather than SLNB

Sections du résumé

BACKGROUND BACKGROUND
Melanoma disease patterns vary with patient age.
AIM OBJECTIVE
To evaluate sentinel lymph node biopsy (SLNB) in managing melanoma at differing patient ages.
METHODS METHODS
Online prediction tools were applied to compare SLNB positivity (SLNB
RESULTS RESULTS
Regardless of tumour thickness, predicted SLNB
DISCUSSION CONCLUSIONS
If 1000 20-year-olds with a 0.4 mm thickness non-ulcerated melanoma underwent SLNB, 100 would likely be positive. If all 100 were to be offered adjuvant drug therapy (ADT), fewer than three more melanoma deaths in those 1000 patients would be avoided. In total, 97 patients would have received medication they may never have needed. If 1000 80-year-olds with a 3 mm thickness non-ulcerated melanoma underwent SLNB, only 40 would likely be positive. In total, 274 patients would be predicted to die of melanoma, 245 being SLNB negative and 29 SLNB
LIMITATIONS CONCLUSIONS
The authors relied on published risk data.
CONCLUSION CONCLUSIONS
SLNB has poor specificity at predicting mortality in young melanoma patients and poor sensitivity in older patients. SLNB is not indicated in managing cutaneous melanoma for patients under 40 or over 60 years of age. Many such patients could be managed with wide local excision alone in their clinician's office-based practice. For all cutaneous melanoma patients at all ages, linking ADT to BAUSSS biomarker, (an algorithm of Breslow thickness, age, ulceration, subtype, sex and Site) rather than SLNB

Identifiants

pubmed: 38168748
doi: 10.1111/jdv.19772
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 European Academy of Dermatology and Venereology.

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Auteurs

Anthony J Dixon (AJ)

Australasian College of Cutaneous Oncology, Docklands, Victoria, Australia.

Athanassios Kyrgidis (A)

Aristotle University of Thessaloniki, Thessaloniki, Greece.

Howard K Steinman (HK)

Campbell University, Buies Creek, North Carolina, USA.

John B Dixon (JB)

Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Victoria, Australia.

Michael Sladden (M)

University of Tasmania, Launceston, Tasmania, Australia.

Claus Garbe (C)

Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany.

Aimilios Lallas (A)

Aristotle University of Thessaloniki, Thessaloniki, Greece.

Christopher B Zachary (CB)

Department of Dermatology, University of California Irvine, Irvine, California, USA.

Ulrike Leiter-Stöppke (U)

Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany.

Harvey Smith (H)

Oxford Dermatology, Perth, Western Australia, Australia.

Alexander Nirenberg (A)

Australasian College of Cutaneous Oncology, Docklands, Victoria, Australia.

Christos C Zouboulis (CC)

Departments of Dermatology, Venereology, Allergology and Immunology, Staedtisches Klinikum Dessau, Brandenburg Medical School Theodor Fontane, Dessau, Germany.

Caterina Longo (C)

Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
Skin Cancer Center, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Giuseppe Argenziano (G)

Dermatology Unit, University of Campania L. Vanvitelli, Napoli, Italy.

Zoe Apalla (Z)

Aristotle University of Thessaloniki, Thessaloniki, Greece.

Catalin Popescu (C)

Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

Thrasyvoulos Tzellos (T)

Institute of Clinical Medicine, The Arctic University of Norway, Tromsø, Norway.

Stuart Anderson (S)

Maffra Medical Group, Maffra, Victoria, Australia.

Lena Nanz (L)

Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany.

Lloyd Cleaver (L)

A T Still University, Kirksville, Missouri, USA.

J Meirion Thomas (JM)

Formerly of Royal Marsden Hospital, London, UK.

Classifications MeSH