Multiplex mutation screening by mass spectrometry evaluation of 820 cases from a personalized cancer medicine

Carol Beadling1, Michael C Heinrich, Andrea Warrick

  • 1Division of Hematology/Oncology, Oregon Health & Science University, Portland, Oregon, USA.

Insights

A new multiplexed genotyping assay identifies multiple cancer gene mutations simultaneously. This approach is crucial for matching patients with targeted therapies and advancing personalized cancer medicine.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • There is a critical need for rapid, broad-based genotyping methods to identify cancer patients who can benefit from targeted therapies.
  • Simultaneous evaluation of multiple mutations in clinical cancer specimens is essential for personalized medicine.

Purpose of the Study:

  • To implement and evaluate a prospective genotyping approach for characterizing drug-targetable mutations in various cancer types.
  • To determine the frequency and spectrum of mutations in urothelial, colorectal, endometrioid, and thyroid carcinomas, and melanoma.

Main Methods:

  • A multiplexed assay panel with mass spectrometry was used to screen for 390 mutations across 30 cancer genes.
  • Formalin-fixed, paraffin-embedded specimens from 820 patients in a Personalized Cancer Medicine Registry were analyzed.
  • Clinical information and genotyping data were housed in the registry.

Main Results:

  • BRAF, PIK3CA, KRAS, and NRAS were the most frequently mutated genes across multiple cancer types.
  • Less common mutations were identified in AKT1, CTNNB1, FGFR2, FGFR3, GNAQ, HRAS, and MAP2K1.
  • Notably, 62% of PIK3CA-mutant cases had additional mutations, often in KRAS. 74% of melanoma BRAF mutations were the V600E substitution.

Conclusions:

  • The study highlights the diversity and complexity of mutations in druggable targets across different cancer types.
  • A broad-spectrum, prospective genotyping approach is essential for effective personalized cancer medicine.
  • This method aids in identifying patients likely to benefit from targeted cancer agents.