TY - JOUR
T1 - Identification of stage I/IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model
AU - Eggermont, Alexander M.M.
AU - Bellomo, Domenico
AU - Arias-Mejias, Suzette M.
AU - Quattrocchi, Enrica
AU - Sominidi-Damodaran, Sindhuja
AU - Bridges, Alina G.
AU - Lehman, Julia S.
AU - Hieken, Tina J.
AU - Jakub, James W.
AU - Murphree, Dennis H.
AU - Pittelkow, Mark R.
AU - Sluzevich, Jason C.
AU - Cappel, Mark A.
AU - Bagaria, Sanjay P.
AU - Perniciaro, Charles
AU - Tjien-Fooh, Félicia J.
AU - Rentroia-Pacheco, Barbara
AU - Wever, Renske
AU - van Vliet, Martin H.
AU - Dwarkasing, Jvalini
AU - Meves, Alexander
N1 - Funding Information:
This work was supported by the National Cancer Institute at the National Institute of Health (grant number: K08 CA215105); and the National Center for Advancing Translational Sciences at the National Institute of Health (grant number UL1TR000135). Additional support was provided by the Melanoma Research Alliance (award number 652760), the 5th District Eagles Cancer Telethon (grant number: FP00100081) and Mayo Clinic (grant number: FP00082825).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.
Funding Information:
This work was supported by the National Cancer Institute at the National Institute of Health (grant number: K08 CA215105 ); and the National Center for Advancing Translational Sciences at the National Institute of Health (grant number UL1TR000135 ). Additional support was provided by the Melanoma Research Alliance (award number 652760 ), the 5th District Eagles Cancer Telethon (grant number: FP00100081 ) and Mayo Clinic (grant number: FP00082825 ).
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/11
Y1 - 2020/11
N2 - Purpose: 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. Patients and methods: 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). Results: 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. Conclusion: 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.
AB - Purpose: 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. Patients and methods: 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). Results: 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. Conclusion: 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.
KW - CP-GEP
KW - Clinicopathologic
KW - Gene expression variables
KW - Metastasis
KW - Primary cutaneous melanoma
KW - Prognostic biomarkers
KW - Relapse-free survival
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UR - http://www.scopus.com/inward/citedby.url?scp=85092093089&partnerID=8YFLogxK
U2 - 10.1016/j.ejca.2020.08.029
DO - 10.1016/j.ejca.2020.08.029
M3 - Article
C2 - 33032086
AN - SCOPUS:85092093089
SN - 0959-8049
VL - 140
SP - 11
EP - 18
JO - European Journal of Cancer
JF - European Journal of Cancer
ER -