Droplet Digital PCR as a Molecular Tool for the Detection of the EGFR T790M Mutation in NSCLC Patients with the EGFR

S Durgut1, L Salihefendić1, D Pećar1

  • 1Alea Genetic Centre, Health Institute Alea Dr. Kandić, Sarajevo, Bosnia and Herzegovina.

Abstract

Insights

Droplet digital PCR (ddPCR) effectively detects the acquired EGFR T790M mutation in liquid biopsies, enabling minimally invasive monitoring of non-small cell lung cancer (NSCLC) patients during tyrosine kinase inhibitor therapy.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Acquired EGFR T790M mutation develops in nearly 50% of NSCLC patients on TKI therapy, leading to resistance and relapse.
  • This secondary mutation can be present at low frequencies, complicating early detection.
  • Minimally invasive monitoring is crucial for managing TKI therapy effectiveness.

Purpose of the Study:

  • To evaluate the sensitivity and utility of droplet digital PCR (ddPCR) for detecting the acquired EGFR T790M mutation in liquid biopsies from NSCLC patients.
  • To assess the feasibility of using liquid biopsy as a minimally invasive alternative for monitoring TKI therapy response.

Main Methods:

  • Analysis of 45 plasma samples from NSCLC patients with known EGFR-activating mutations.
  • Circulating free DNA extraction and amplification.
  • Detection of T790M mutation using ddPCR technology and QuantaSoft Software for data analysis.

Main Results:

  • 14 out of 45 plasma samples tested positive for the T790M mutation.
  • ddPCR demonstrated high sensitivity, detecting T790M mutant allele frequencies as low as 0.1%.
  • The T790M mutation was subsequently confirmed in FFPE samples from the positive cases.

Conclusions:

  • ddPCR is a highly sensitive method for detecting rare allele variants like the T790M mutation in liquid biopsies.
  • Liquid biopsy using ddPCR offers a minimally invasive alternative for monitoring NSCLC patients during TKI therapy.
  • Monitoring T790M mutation status is vital for assessing TKI therapy efficacy and managing disease progression.

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