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Multicenter Evaluation of the Fully Automated PCR-Based Idylla EGFR Mutation Assay on Formalin-Fixed, Paraffin-Embedded Tissue of Human Lung Cancer
- Source :
- The Journal of Molecular Diagnostics; November 2019, Vol. 21 Issue: 6 p1010-1024, 15p
- Publication Year :
- 2019
-
Abstract
- Before initiating treatment of advanced non–small-cell lung cancer with tyrosine kinase inhibitors (eg, erlotinib, gefitinib, osimertinib, and afatinib), which inhibit the catalytic activity of epidermal growth factor receptor (EGFR), clinical guidelines require determining the EGFR mutational status for activating (EGFRexons 18, 19, 20, or 21) and resistance (EGFRexon 20) mutations. The EGFR resistance mutation T790M should be monitored at cancer progression. The Idylla EGFR Mutation Assay, performed on the Idylla molecular diagnostics platform, is a fully automated (<2.5 hours turnaround time) sample-to-result molecular test to qualitatively detect 51 EGFRoncogene point mutations, deletions, or insertions. In a 15-center evaluation, Idylla results on 449 archived formalin-fixed, paraffin-embedded tissue sections, originating from non–small-cell lung cancer biopsies and resection specimens, were compared with data obtained earlier with routine reference methods, including next-generation sequencing, Sanger sequencing, pyrosequencing, mass spectrometry, and PCR-based assays. When results were discordant, a third method of analysis was performed, when possible, to confirm test results. After confirmation testing and excluding invalids/errors and discordant results by design, a concordance of 97.6% was obtained between Idylla and routine test results. Even with <10 mm2of tissue area, a valid Idylla result was obtained in 98.9% of the cases. The Idylla EGFR Mutation Assay enables sensitive detection of most relevant EGFRmutations in concordance with current guidelines, with minimal molecular expertise or infrastructure.
Details
- Language :
- English
- ISSN :
- 15251578
- Volume :
- 21
- Issue :
- 6
- Database :
- Supplemental Index
- Journal :
- The Journal of Molecular Diagnostics
- Publication Type :
- Periodical
- Accession number :
- ejs50829084
- Full Text :
- https://doi.org/10.1016/j.jmoldx.2019.06.010