Back to Search Start Over

Rapid EGFR Mutation Detection Using the Idylla Platform

Authors :
Marc Ladanyi
JinYuan Yao
Snjezana Dogan
Amir Momeni-Boroujeni
Maria E. Arcila
Natasha Rekhtman
William D. Travis
Jamal Benhamida
Khedoudja Nafa
Paulo Salazar
Jason C. Chang
Tao Zheng
Chad M. Vanderbilt
Christine Moung
Nana Mensah
Ivelise Rijo
Source :
The Journal of Molecular Diagnostics. 23:310-322
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Mutations in the epidermal growth factor receptor (EGFR) are the most common targetable alterations in lung adenocarcinoma. To facilitate rapid testing, the Idylla EGFR assay was incorporated as a screening method before next-generation sequencing (NGS). Validation and experience using an in-house developed analysis pipeline, enhanced with a manual review algorithm is described. Results are compared with corresponding NGS results. In all, 1249 samples were studied. Validation demonstrated 98.57% (69/70) concordance with the reference methods. The limit of detection varied from 2% to 5% variant allele frequency for total EGFR quantitation cycle between 20 and 23. Of the 1179 clinical cases, 23.41% were EGFR-positive by Idylla. Concurrent NGS was successfully performed on 94.9% (799/842) requests. Concordance of Idylla with NGS was 98.62% (788/799) and 98.50% (787/799) using our in-house and Idylla analysis pipelines, respectively. Discordances involved missed mutations by both assays associated with low tumor/low input. Incorporating a manual review algorithm to supplement automated calls improved accuracy from 98.62% to 99.37% and sensitivity from 94.68% to 97.58%. Overall reporting time, from receipt of material to official clinical report, ranged from 1 to 3 days. Therefore, Idylla EGFR testing enables rapid and sensitive screening without compromising subsequent comprehensive NGS, when required. Automated calling, enhanced with a manual review algorithm, reduces false-negative calls associated with low tumor/low input samples.

Details

ISSN :
15251578
Volume :
23
Database :
OpenAIRE
Journal :
The Journal of Molecular Diagnostics
Accession number :
edsair.doi...........b3b2c5497e51ca9dfffb0b9bb9e32149