Identification of stage I/IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model.
Adolescent
Adult
Aged
Aged, 80 and over
Cohort Studies
Confidence Intervals
Disease-Free Survival
Female
Gene Expression
/ genetics
Gene Expression Profiling
/ methods
Humans
Male
Melanoma
/ genetics
Middle Aged
Neoplasm Recurrence, Local
/ genetics
Prognosis
Proportional Hazards Models
Skin Neoplasms
/ genetics
Young Adult
CP-GEP
Clinicopathologic
Gene expression variables
Metastasis
Primary cutaneous melanoma
Prognostic biomarkers
Relapse-free survival
Journal
European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
16
04
2020
revised:
09
07
2020
accepted:
16
08
2020
pubmed:
9
10
2020
medline:
23
2
2021
entrez:
8
10
2020
Statut:
ppublish
Résumé
Patients with stage I/IIA cutaneous melanoma (CM) are currently not eligible for adjuvant therapies despite uncertainty in relapse risk. Here, we studied the ability of a recently developed model which combines clinicopathologic and gene expression variables (CP-GEP) to identify stage I/IIA melanoma patients who have a high risk for disease relapse. Archival specimens from a cohort of 837 consecutive primary CMs were used for assessing the prognostic performance of CP-GEP. The CP-GEP model combines Breslow thickness and patient age, with the expression of eight genes in the primary tumour. Our specific patient group, represented by 580 stage I/IIA patients, was stratified based on their risk of relapse: CP-GEP High Risk and CP-GEP Low Risk. The main clinical end-point of this study was five-year relapse-free survival (RFS). Within the stage I/IIA melanoma group, CP-GEP identified a high-risk patient group (47% of total stage I/IIA patients) which had a considerably worse five-year RFS than the low-risk patient group; 74% (95% confidence interval [CI]: 67%-80%) versus 89% (95% CI: 84%-93%); hazard ratio [HR] = 2.98 (95% CI: 1.78-4.98); P < 0.0001. Of patients in the high-risk group, those who relapsed were most likely to do so within the first 3 years. The CP-GEP model can be used to identify stage I/IIA patients who have a high risk for disease relapse. These patients may benefit from adjuvant therapy.
Identifiants
pubmed: 33032086
pii: S0959-8049(20)30484-6
doi: 10.1016/j.ejca.2020.08.029
pmc: PMC7655519
mid: NIHMS1629185
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
11-18Subventions
Organisme : NCI NIH HHS
ID : K08 CA215105
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000135
Pays : United States
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest statement Dr. Eggermont reports receiving honoraria from Actelion, Agenus, Bayer, BIOCAD, Biovent, BMS, CatalYm, Celldex, Ellipses, Forbion, Gilead, GSK, HalioDx, Incyte, IO Biotech, ISA Pharmaceuticals, MedImmune, Merck GmbH, MSD, Novartis, Pfizer, Polynoma, Regeneron, Sanofi, SkylineDx and Stellas over the past five years; having equity stakes in SkylineDx and THERANOVIR and speaker engagements with BIOCAD, MSD and Novartis. Dr. Bellomo reports equity stakes in SkylineDx and Synlogic. Dr. Hieken reports receiving research funding from Genentech and Roche through Mayo Clinic. Dr. Sluzevich reports receiving research funding from Merck through Mayo Clinic. Dr. Pernaciaro reports receiving honoraria from Myriad Genetics and travel, accommodations and expenses paid for by Myriad Genetics. Ms. Tjien-Fooh, Ms. Rentroia-Pacheco, Ms. Wever, Dr. van Vliet, and Dr. Dwarkasing reports equity stakes in SkylineDx. Dr. Bellomo, Ms. Tjien-Fooh, Ms. Rentroia-Pacheco, Ms. Wever, Dr. van Vliet, and Dr. Dwarkasing reports being employees of SkylineDx. Dr. Bellomo and Dr. Meves report patents pending for gene signatures for predicting melanoma metastasis. All remaining authors have no conflict of interest to declare.
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