Performance evaluation of the Biocartis Idylla EGFR Mutation Test using pre-extracted DNA from a cohort of highly

Jack Grant1, Anne Stanley1, Kevin Balbi1

  • 1Sarah Cannon Molecular Diagnostics, HCA Healthcare UK, London, UK.

Abstract

Insights

The Biocartis Idylla EGFR Mutation Test performs reliably with extracted DNA, achieving 100% concordance at 250ng input. This method offers a viable alternative to direct FFPE testing for non-small cell lung carcinoma (NSCLC) genomic analysis.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genomics

Background:

  • Targeted therapy for non-small cell lung carcinoma (NSCLC) requires detection of specific genomic alterations, notably epidermal growth factor receptor (EGFR) mutations.
  • The Biocartis Idylla platform with its single-use EGFR mutation test cartridge is CE-IVD marked for formalin-fixed paraffin-embedded (FFPE) tissue but also supports extracted DNA input, potentially enhancing its utility and preserving tissue.

Purpose of the Study:

  • To evaluate the performance of the Biocartis Idylla EGFR Mutation Test using extracted DNA at various input concentrations.
  • To assess the concordance of results obtained from extracted DNA compared to direct FFPE analysis.

Main Methods:

  • 130 NSCLC cases with known EGFR mutations, characterized by next-generation sequencing, were analyzed.
  • The Idylla EGFR test was performed using three different DNA input levels: 20 ng, 50 ng, and 250 ng, with replicate analyses.

Main Results:

  • Concordant results were achieved in 90.77% of cases at 20 ng DNA input, 98.46% at 50 ng, and 100% at 250 ng.
  • Discordant findings were associated with control quantification cycle (CQ) values >23.
  • Very low CQ values correlated with EGFR gene amplification.

Conclusions:

  • The Idylla EGFR Mutation Test demonstrates comparable performance with pre-extracted DNA as with direct FFPE input.
  • For samples with control CQ >23, reanalysis with higher DNA input is recommended.
  • Mitigation strategies for potential false negatives include manual review of quantitative PCR data or alternative analysis methods.

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