Population-based prognostic instrument (SweMR 2.0) for melanoma-specific survival - An ideal tool for individualised treatment decisions for Swedish patients.


Journal

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
ISSN: 1532-2157
Titre abrégé: Eur J Surg Oncol
Pays: England
ID NLM: 8504356

Informations de publication

Date de publication:
10 2023
Historique:
received: 10 02 2023
revised: 26 06 2023
accepted: 30 06 2023
medline: 2 10 2023
pubmed: 10 7 2023
entrez: 9 7 2023
Statut: ppublish

Résumé

The prognosis for patients with melanoma has improved due to better treatments in recent years and updated tools to accurately predict an individual's risk are warranted. This study aims to describe a prognostic instrument for patients with cutaneous melanoma and its potential as a clinical device for treatment decisions. Patients with localised invasive cutaneous melanoma diagnosed in 1990-2021 with data on tumour thickness were identified from the population-based Swedish Melanoma Registry. The parametric Royston-Parmar (RP) method was used to estimate melanoma-specific survival (MSS) probabilities. Separate models were constructed for patients (≤1 mm) and (>1 mm) and prognostic groups were created based on all combinations of age, sex, tumour site, tumour thickness, absence/presence of ulceration, histopathologic type, Clark's level of invasion, mitoses and sentinel lymph node (SLN) status. In total, 72 616 patients were identified, 41 764 with melanoma ≤1 mm and 30 852 with melanoma >1 mm. The most important variable was tumour thickness for both (≤1 mm) and (>1 mm), that explained more than 50% of the survival. The second most important variables were mitoses (≤1 mm) and SLN status (>1 mm). The prognostic instrument successfully created probabilities for >30 000 prognostic groups. The Swedish updated population-based prognostic instrument, predicts MSS survival up to 10 years after diagnosis. The prognostic instrument gives more representative and up-to-date prognostic information for Swedish patients with primary melanoma than the present AJCC staging. Additional to clinical use and the adjuvant setting, the information retrieved could be used to plan future studies.

Identifiants

pubmed: 37423872
pii: S0748-7983(23)00567-X
doi: 10.1016/j.ejso.2023.06.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106974

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest ROB has received institutional research grants from Bristol-Myers Squibb (BMS), Endomagnetics Ltd (Endomag) and SkyLineDx, speaker honorarium from Roche, Pfizer and Pierre-Fabre, and has served on advisory boards for Amgen, BD/BARD, Bristol-Myers Squibb (BMS), Merck Sharp & DohmeMerck Sharp & Dohme (MSD), Novartis, Roche and Sanofi Genzyme, and is a shareholder in SATMEG Ventures AB. KI reports having received speaker honorarium from Pierre Fabre. JL, CI, KN, and RM have no disclosures.

Auteurs

Johan Lyth (J)

Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden. Electronic address: johan.lyth@liu.se.

Rasmus Mikiver (R)

Regional Cancer Center Southeast Sweden and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

Kari Nielsen (K)

Department of Dermatology, Skåne University Hospital, Lund, Sweden; Dermatology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Lund University Cancer Centre, Lund University, Lund, Sweden.

Christian Ingvar (C)

Lund University Cancer Centre, Lund University, Lund, Sweden; Surgery, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.

Roger Olofsson Bagge (R)

Department of Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden; Sahlgrenska Center for Cancer Research, Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Karolin Isaksson (K)

Lund University Cancer Centre, Lund University, Lund, Sweden; Surgery, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Department of Surgery, Kristianstad Hospital, Kristianstad, Sweden.

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Classifications MeSH