MAP Kinase Pathways: Molecular Roads to Primary Acral Lentiginous Melanoma

Juliana D Fernandes1, Ricardo Hsieh, Luiz A R de Freitas

  • 1*Department of Dermatology, Medical School, Federal University of Bahia, Salvador, Brazil; †Department of General Pathology, Dental School, University of São Paulo, São Paulo, Brazil; ‡Department of Pathology, Medical School, Federal University of Bahia, Salvador, Brazil; §AMO Oncological Clinic Care, Bahia, Brazil; ¶Department of Dermatology, Medical School, University of São Paulo, São Paulo, Brazil; and ‖Department of Surgical Pathology, Hospital Obrero, La Paz, Bolivia.

Insights

Alterations in the MAP kinase pathway, including BRAF, MEK, and ERK, are linked to acral melanoma development. These changes correlate with prognostic indicators in primary acral melanomas.

Area of Science:

  • Oncology
  • Dermatology
  • Molecular Biology

Background:

  • The origins and development of acral melanomas are not well understood.
  • Cell growth pathways, particularly the MAPK pathway, are implicated in melanoma pathogenesis.

Purpose of the Study:

  • To investigate the status of MAP kinase pathways in acral melanoma.
  • To correlate MAP kinase pathway alterations with histological prognostic indicators.

Main Methods:

  • Immunohistochemistry was used to examine RAS-RAF-MEK-ERK cascade components.
  • Tissue microarrays of 16 primary acral melanomas were analyzed.

Main Results:

  • Most cases showed altered expression of MAP kinase cascade proteins.
  • BRAF was positive in 57.14% of cases; MEK2, ERK1, and ERK2 were positive in 61.53%, 71.42%, and 71.42%, respectively.
  • RAS was absent in 92.31% of cases, and MEK1 was negative in all cases. Absence of RAS and positivity for MEK2, ERK1, ERK2 were associated with invasive cases with high thickness.

Conclusions:

  • Significant alterations in MAP kinase cascades are observed in acral melanomas.
  • These alterations correlate with histological indicators of prognosis.
  • Further research is needed to examine MAPK pathway aspects across different populations.

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