A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell

Zengliu Su1, Dora Dias-Santagata, Markeesa Duke

  • 1Vanderbilt-Ingram Cancer Center, the Department of Medicine/Division of Hematology-Oncology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

Insights

We developed two multiplexed assays to detect over 40 lung cancer mutations in FFPE tissue. These rapid, sensitive, and cost-effective tests aid genotype-driven lung cancer treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Somatic tumor mutations are crucial for personalized cancer therapy.
  • Tumor mutational profiles guide the selection of targeted anticancer drugs.
  • Accurate identification of mutations enhances treatment efficacy.

Purpose of the Study:

  • To develop and validate multiplexed assays for detecting recurrent mutations in lung cancer.
  • To enable genotype-driven treatment strategies through rapid mutational profiling.
  • To improve the sensitivity and accessibility of targeted therapy selection.

Main Methods:

  • Development of two multiplexed assays: SNaPshot (multiplex PCR, primer extension, capillary electrophoresis) and a PCR-based sizing assay.
  • SNaPshot assay detects 38 somatic mutations in eight key genes (AKT1, BRAF, EGFR, KRAS, MEK1, NRAS, PIK3CA, PTEN).
  • Sizing assay identifies EGFR and HER2 exon mutations (deletions and insertions).

Main Results:

  • The assays detect over 40 recurrent mutations in nine genes relevant to lung cancer targeted therapies.
  • High sensitivity achieved: mutations detected at 1.56%–12.5% mutant DNA levels, significantly lower than direct sequencing.
  • Both assays are rapid, require minimal genetic material, and are cost-effective.

Conclusions:

  • The developed SNaPshot and sizing assays are robust, reliable, and facilitate the detection of clinically relevant mutations in FFPE lung cancer tissue.
  • These assays can accelerate the clinical adoption of genotype-driven approaches for lung cancer treatment.
  • The assays offer a sensitive and efficient method for identifying actionable mutations to guide targeted therapy selection.