Comparison between Three Different Techniques for the Detection of EGFR Mutations in Liquid Biopsies of Patients with

Milena Casula1, Marina Pisano1, Panagiotis Paliogiannis2

  • 1Unit of Cancer Genetics, Institute of Genetic Biomedical Research (IRGB), National Research Council (CNR), 07100 Sassari, Italy.

Insights

Two real-time PCR methods show high concordance for detecting EGFR mutations in lung cancer liquid biopsies. Next-generation sequencing detected more mutations but struggled with T790M resistance markers.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Epidermal Growth Factor Receptor (EGFR) mutations drive lung adenocarcinoma (LC) and are targets for tyrosine kinase inhibitors (TKIs).
  • Liquid biopsy using circulating tumor DNA (ctDNA) is crucial for detecting EGFR mutations (e.g., exon 19 deletions, L858R, T790M) to guide LC treatment.
  • T790M is a key resistance mechanism against first- and second-generation TKIs.

Purpose of the Study:

  • To prospectively compare the diagnostic performance of three distinct techniques for EGFR mutation detection in ctDNA from advanced LC patients.
  • To evaluate the concordance rates between two real-time PCR assays and a next-generation sequencing (NGS) method.

Main Methods:

  • Fifty-four ctDNA samples from 48 advanced LC patients were analyzed.
  • EGFR mutations were detected using Therascreen® EGFR Plasma RGQ-PCR Kit (Qiagen).
  • Samples were further tested with the Idylla™ ctEGFR mutation assay (Biocartis) and an Ion AmpliSeq Cancer Hotspot panel (ThermoFisher) NGS system.

Main Results:

  • High concordance was observed between the two real-time PCR assays for main EGFR alterations (T790M: 100%, L858R: 94%, exon 19 deletions: 85%).
  • Lower concordance rates were found between PCR-based methods and NGS (L858R: 88%, exon 19 deletions: 74%, T790M: 37.5%).
  • NGS identified a broader spectrum of EGFR mutations but demonstrated poor sensitivity for the T790M mutation.

Conclusions:

  • PCR-based techniques exhibit equivalent detection capabilities for common circulating EGFR mutations in lung cancer.
  • NGS offers broader mutation detection but has limitations in identifying specific resistance mutations like T790M.
  • The choice of method depends on the specific EGFR mutations of clinical interest, particularly for resistance monitoring.

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