Characterization of Activating Mutations of the MEK1 Gene in Papillary Thyroid Carcinomas

Nicla Borrelli1, Federica Panebianco1, Vincenzo Condello1

  • 1Department of Pathology and Laboratory Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Insights

Functional MEK1 mutations were identified in papillary thyroid carcinoma (PTC), representing a novel mechanism for activating the MAPK pathway. These mutations were found in PTCs lacking other known driver alterations, suggesting a distinct subset of thyroid cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Mitogen-activated protein kinase (MAPK) pathway alterations, primarily BRAF and RAS mutations, are prevalent in papillary thyroid carcinoma (PTC).
  • MEK1 (MAP2K1) mutations have been observed in various cancers, but their role in thyroid cancer was previously unclear.

Purpose of the Study:

  • To investigate the presence and functional significance of MEK1 mutations in thyroid cancer (TC).
  • To characterize the molecular and phenotypic features of MEK1-mutated PTC.

Main Methods:

  • Sanger sequencing and targeted next-generation sequencing of MEK1 in 101 PTCs, 64 follicular/Hürthle cell carcinomas, and 32 follicular adenomas.
  • Western blot and RNA-sequencing analyses were performed on selected tumors.
  • Molecular tumor profiling was utilized to identify additional MEK1 mutations.

Main Results:

  • MEK1 mutations were detected in 2% of PTCs lacking other known driver mutations, and in one additional case via routine profiling.
  • All identified MEK1 mutations were in-frame deletions in exon 3, leading to MAPK pathway activation.
  • MEK1-mutated PTCs exhibited a RAS-like gene expression profile, high differentiation score, and a predominantly follicular growth pattern.

Conclusions:

  • Functional MEK1 mutations represent an alternative mechanism for MAPK pathway activation in a subset of papillary thyroid carcinomas.
  • These findings expand the understanding of molecular drivers in PTC, particularly in tumors with follicular growth patterns.

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