Affiliation:
1. Division of Surgical Oncology, Department of Surgery University of Nebraska Medical Center Omaha Nebraska USA
2. Computational Biology Division Saint John's Cancer Institute at Providence St. John's Health Center Santa Monica California USA
3. Division of Surgical Oncology, Department of Surgery Hunter Holmes McGuire Veterans Affair Medical Center Richmond Virginia USA
4. Division of Surgical Oncology University of South Carolina School of Medicine Greenville South Carolina USA
5. Division of Surgical Oncology West Virginia University Morgantown West Virginia USA
6. Department of Surgery Saint John's Cancer Institute at Providence St. John's Health Center Santa Monica California USA
7. Department of Medicine, Keck School of Medicine University of Southern California Los Angeles California USA
Abstract
AbstractBackground and ObjectivesMelanoma mutational burden is high and approximately 50% have oncogenic mutations inBRAF. We sought to evaluate age‐related mutational differences in melanoma.MethodsWe analyzed melanoma samples in the Genomics Evidence Neoplasia Information Exchange database. Targetable mutations were identified using the Precision Oncology Knowledge Base (OncoKB).ResultsWe found 1194 patients with a common set of 30 genes. The top mutated genes in patients <40 years old (y/o) (n = 98) wereBRAF(59%),TP53(31%),NRAS(17%), andPTEN(14%); in 40–59 y/o (n = 354) wereBRAF(51%),NRAS(30%),TP53(26%), andAPC(13%); and in ≥60 y/o (n = 742) wereBRAF(38%),NRAS(33%),TP53(26%), andKDR(19%).BRAFmutations were almost mutually exclusive fromNRASmutations 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), andFGFR2,MET,PTEN,PIK3CA, andKRAS(level 4).ConclusionsMutations in melanoma have age‐related differences and demonstrates potential targetable mutations for personalized therapies.
Subject
Oncology,General Medicine,Surgery
Cited by
2 articles.
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