Personalized and targeted mutational analysis of multiple second primary melanomas under kinase inhibitors

Michele Donati1, Giovanni Zelano2, Rosa Coppola3

  • 1Department of Pathology, Campus Bio-Medico University, Rome, Italy.

Abstract

Insights

Second primary melanomas (SPMs) can arise during BRAF-inhibitor treatment for metastatic melanoma. Genetic analysis revealed HRAS mutations in SPMs, supporting a paradoxical MAPK pathway activation mechanism and highlighting the value of combined somatic and germline testing for treatment selection.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Second primary melanomas (SPMs) emerge in some patients with BRAF-mutated metastatic melanoma during BRAF-inhibitor therapy.
  • A proposed mechanism involves paradoxical mitogen-activated protein kinase (MAPK) pathway activation in BRAF-wild type/RAS-mutated cells, but SPM mutational data is limited.

Purpose of the Study:

  • To investigate the genetic alterations in SPMs developed during BRAF-inhibitor treatment.
  • To understand the molecular mechanisms underlying SPM development in metastatic melanoma patients.

Main Methods:

  • Personalized, targeted next-generation sequencing was performed on a patient with metastatic melanoma who developed multiple SPMs during encorafenib treatment.
  • Analysis included the primary melanoma, two SPMs, a benign nevus, and normal blood DNA, using a cancer panel enriched with melanoma-specific genes.

Main Results:

  • HRAS Q61 somatic mutation identified in one SPM within a pre-existing nevus; both SPMs were BRAF wild type.
  • Primary melanoma harbored BRAF and actionable IDH1 R132C mutations. Patient had a KDR Q472 germline variant.
  • Mutations in melanoma-related genes (TP53, PIK3CA, FGFR3, ATF1, KIT, HRAS, MAP2K2) were heterozygous in the patient's germline DNA.

Conclusions:

  • Findings support the paradoxical MAPK pathway activation mechanism for SPMs under BRAF inhibitors.
  • Targeted analysis of both somatic and germline mutations aids in understanding the tumor's genetic landscape.
  • This approach may improve treatment selection for metastatic melanoma patients.