Using a Clinicopathologic and Gene Expression (CP-GEP) Model to Identify Stage I-II Melanoma Patients at Risk of Disease Relapse.

clinicopathologic and gene expression model primary cutaneous melanoma risk stratification recurrence

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
09 Jun 2022
Historique:
received: 06 05 2022
revised: 01 06 2022
accepted: 05 06 2022
entrez: 24 6 2022
pubmed: 25 6 2022
medline: 25 6 2022
Statut: epublish

Résumé

Background: The current standard of care for patients without sentinel node (SN) metastasis (i.e., stage I−II melanoma) is watchful waiting, while >40% of patients with stage IB−IIC will eventually present with disease recurrence or die as a result of melanoma. With the prospect of adjuvant therapeutic options for patients with a negative SN, we assessed the performance of a clinicopathologic and gene expression (CP-GEP) model, a model originally developed to predict SN metastasis, to identify patients with stage I−II melanoma at risk of disease relapse. Methods: This study included patients with cutaneous melanoma ≥18 years of age with a negative SN between October 2006 and December 2017 at the Sahlgrenska University Hospital (Sweden) and Erasmus MC Cancer Institute (The Netherlands). According to the CP-GEP model, which can be applied to the primary melanoma tissue, the patients were stratified into high or low risk of recurrence. The primary aim was to assess the 5-year recurrence-free survival (RFS) of low- and high-risk CP-GEP. A secondary aim was to compare the CP-GEP model with the EORTC nomogram, a model based on clinicopathological variables only. Results: In total, 535 patients (stage I−II) were included. CP-GEP stratification among these patients resulted in a 5-year RFS of 92.9% (95% confidence interval (CI): 86.4−96.4) in CP-GEP low-risk patients (n = 122) versus 80.7% (95%CI: 76.3−84.3) in CP-GEP high-risk patients (n = 413; hazard ratio 2.93 (95%CI: 1.41−6.09), p < 0.004). According to the EORTC nomogram, 25% of the patients were classified as having a ‘low risk’ of recurrence (96.8% 5-year RFS (95%CI 91.6−98.8), n = 130), 49% as ‘intermediate risk’ (88.4% 5-year RFS (95%CI 83.6−91.8), n = 261), and 26% as ‘high risk’ (61.1% 5-year RFS (95%CI 51.9−69.1), n = 137). Conclusion: In these two independent European cohorts, the CP-GEP model was able to stratify patients with stage I−II melanoma into two groups differentiated by RFS.

Identifiants

pubmed: 35740520
pii: cancers14122854
doi: 10.3390/cancers14122854
pmc: PMC9220976
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Netherlands Enterprise Agency

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Auteurs

Evalyn E A P Mulder (EEAP)

Departments of Surgical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
Departments of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Iva Johansson (I)

Departments of Pathology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
Departments of Oncology, Institute of Clinical Sciences at Sahlgrenska Academy, Gothenburg University, 405 30 Gothenburg, Sweden.

Dirk J Grünhagen (DJ)

Departments of Surgical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Dennie Tempel (D)

SkylineDx B.V., 3062 ME Rotterdam, The Netherlands.

Barbara Rentroia-Pacheco (B)

SkylineDx B.V., 3062 ME Rotterdam, The Netherlands.

Jvalini T Dwarkasing (JT)

SkylineDx B.V., 3062 ME Rotterdam, The Netherlands.

Daniëlle Verver (D)

Departments of Surgical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Antien L Mooyaart (AL)

Department of Pathology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Astrid A M van der Veldt (AAM)

Departments of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
Departments of Radiology & Nuclear Medicine, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Marlies Wakkee (M)

Departments of Dermatology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Tamar E C Nijsten (TEC)

Departments of Dermatology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Cornelis Verhoef (C)

Departments of Surgical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Jan Mattsson (J)

Departments of Surgery, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.

Lars Ny (L)

Departments of Oncology, Institute of Clinical Sciences at Sahlgrenska Academy, Gothenburg University, 405 30 Gothenburg, Sweden.
Departments of Oncology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.

Loes M Hollestein (LM)

Departments of Dermatology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
Department of Research, Netherlands Comprehensive Cancer Organization (IKNL), 3511 DT Utrecht, The Netherlands.

Roger Olofsson Bagge (R)

Departments of Surgery, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
Departments of Surgery, Institute of Clinical Sciences at Sahlgrenska Academy, Gothenburg University, 405 30 Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden.

Classifications MeSH