Evaluation of a Gene Expression Profiling Assay in Primary Cutaneous Melanoma.


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 29 09 2020
accepted: 17 12 2020
pubmed: 25 1 2021
medline: 9 7 2021
entrez: 24 1 2021
Statut: ppublish

Résumé

A significant proportion of deaths from cutaneous melanoma occur among patients with an initial diagnosis of stage 1 or 2 disease. The Decision-Dx Melanoma (DDM) 31-gene assay attempts to stratify these patients by risk of recurrence. This study aimed to evaluate this assay in a large single-institution series. A retrospective chart review of all patients who underwent surgery for melanoma at a large academic cancer center with DDM results was performed. Patient demographics, tumor pathologic characteristics, sentinel node status, gene expression profile (GEP) class, and recurrence-free survival (RFS) were reviewed. The primary outcomes were recurrence of melanoma and distant metastatic recurrence. Data from 361 patients were analyzed. The median follow-up period was 15 months. Sentinel node biopsy was performed for 75.9% (n = 274) of the patients, 53 (19.4%) of whom tested positive. Overall, 13.6% (n = 49) of the patients had recurrence, and 8% (n = 29) had distant metastatic recurrence. The 3- and 5-year RFS rates were respectively 85% and 75% for the class 1A group, 74% and 47% for the class 1B/class 2A group, and 54% and 45% for the class 2B group. Increased Breslow thickness, ulceration, mitoses, sentinel node biopsy positivity, and GEP class 2B status were significantly associated with RFS and distant metastasis-free survival (DMFS) in the univariate analysis (all p < 0.05). In the multivariate analysis, only Breslow thickness and ulceration were associated with RFS (p < 0.003), and only Breslow thickness was associated with DMFS (p < 0.001). Genetic profiling of cutaneous melanoma can assist in predicting recurrence and help determine the need for close surveillance. However, traditional pathologic factors remain the strongest independent predictors of recurrence risk.

Sections du résumé

BACKGROUND BACKGROUND
A significant proportion of deaths from cutaneous melanoma occur among patients with an initial diagnosis of stage 1 or 2 disease. The Decision-Dx Melanoma (DDM) 31-gene assay attempts to stratify these patients by risk of recurrence. This study aimed to evaluate this assay in a large single-institution series.
METHODS METHODS
A retrospective chart review of all patients who underwent surgery for melanoma at a large academic cancer center with DDM results was performed. Patient demographics, tumor pathologic characteristics, sentinel node status, gene expression profile (GEP) class, and recurrence-free survival (RFS) were reviewed. The primary outcomes were recurrence of melanoma and distant metastatic recurrence.
RESULTS RESULTS
Data from 361 patients were analyzed. The median follow-up period was 15 months. Sentinel node biopsy was performed for 75.9% (n = 274) of the patients, 53 (19.4%) of whom tested positive. Overall, 13.6% (n = 49) of the patients had recurrence, and 8% (n = 29) had distant metastatic recurrence. The 3- and 5-year RFS rates were respectively 85% and 75% for the class 1A group, 74% and 47% for the class 1B/class 2A group, and 54% and 45% for the class 2B group. Increased Breslow thickness, ulceration, mitoses, sentinel node biopsy positivity, and GEP class 2B status were significantly associated with RFS and distant metastasis-free survival (DMFS) in the univariate analysis (all p < 0.05). In the multivariate analysis, only Breslow thickness and ulceration were associated with RFS (p < 0.003), and only Breslow thickness was associated with DMFS (p < 0.001).
CONCLUSION CONCLUSIONS
Genetic profiling of cutaneous melanoma can assist in predicting recurrence and help determine the need for close surveillance. However, traditional pathologic factors remain the strongest independent predictors of recurrence risk.

Identifiants

pubmed: 33486642
doi: 10.1245/s10434-020-09563-7
pii: 10.1245/s10434-020-09563-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4582-4589

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

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Auteurs

Aaron W Kangas-Dick (AW)

Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey (CINJ), New Brunswick, NJ, USA. ak1777@cinj.rutgers.edu.
Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA. ak1777@cinj.rutgers.edu.

Alissa Greenbaum (A)

Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey (CINJ), New Brunswick, NJ, USA.

Victor Gall (V)

Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey (CINJ), New Brunswick, NJ, USA.

Roman Groisberg (R)

Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.

Janice Mehnert (J)

Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.

Chunxia Chen (C)

Division of Biometrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.

Dirk F Moore (DF)

Division of Biometrics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.

Adam C Berger (AC)

Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey (CINJ), New Brunswick, NJ, USA.

Vadim Koshenkov (V)

Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey (CINJ), New Brunswick, NJ, USA.

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