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Age-related next-generation sequencing mutational analysis in 1196 melanomas.
Santamaria-Barria, Juan A; Matsuba, Chikako; Khader, Adam; Scholar, Anthony J; Garland-Kledzik, Mary; Fischer, Trevan D; Essner, Richard; Salomon, Matthew P; Mammen, Joshua M V; Goldfarb, Melanie.
Afiliación
  • Santamaria-Barria JA; Division of Surgical Oncology, Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA.
  • Matsuba C; Computational Biology Division, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA.
  • Khader A; Division of Surgical Oncology, Department of Surgery, Hunter Holmes McGuire Veterans Affair Medical Center, Richmond, Virginia, USA.
  • Scholar AJ; Division of Surgical Oncology, University of South Carolina School of Medicine, Greenville, South Carolina, USA.
  • Garland-Kledzik M; Division of Surgical Oncology, West Virginia University, Morgantown, West Virginia, USA.
  • Fischer TD; Department of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA.
  • Essner R; Department of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA.
  • Salomon MP; Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Mammen JMV; Division of Surgical Oncology, Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA.
  • Goldfarb M; Department of Surgery, Saint John's Cancer Institute at Providence St. John's Health Center, Santa Monica, California, USA.
J Surg Oncol ; 127(7): 1187-1195, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36938777
ABSTRACT
BACKGROUND AND

OBJECTIVES:

Melanoma mutational burden is high and approximately 50% have oncogenic mutations in BRAF. We sought to evaluate age-related mutational differences in melanoma.

METHODS:

We analyzed melanoma samples in the Genomics Evidence Neoplasia Information Exchange database. Targetable mutations were identified using the Precision Oncology Knowledge Base (OncoKB).

RESULTS:

We found 1194 patients with a common set of 30 genes. The top mutated genes in patients <40 years old (y/o) (n = 98) were BRAF (59%), TP53 (31%), NRAS (17%), and PTEN (14%); in 40-59 y/o (n = 354) were BRAF (51%), NRAS (30%), TP53 (26%), and APC (13%); and in ≥60 y/o (n = 742) were BRAF (38%), NRAS (33%), TP53 (26%), and KDR (19%). BRAF mutations were almost mutually exclusive from NRAS mutations in <40 y/o (58/59). Mutational burden increased with age, with means of 2.39, 2.92, and 3.67 mutations per sample in patients <40, 40-59, and ≥60 y/o, respectively (p < 0.0001). There were 10 targetable mutations meeting OncoKB criteria for melanoma BRAF (level 1), RET (level 1), KIT (level 2), NRAS (level 3A), TP53 (level 3A), and FGFR2, MET, PTEN, PIK3CA, and KRAS (level 4).

CONCLUSIONS:

Mutations in melanoma have age-related differences and demonstrates potential targetable mutations for personalized therapies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Melanoma Tipo de estudio: Prognostic_studies Límite: Adult / Humans Idioma: En Revista: J Surg Oncol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Melanoma Tipo de estudio: Prognostic_studies Límite: Adult / Humans Idioma: En Revista: J Surg Oncol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA