Literature DB >> 33346146

Rapid EGFR Mutation Detection Using the Idylla Platform: Single-Institution Experience of 1200 Cases Analyzed by an In-House Developed Pipeline and Comparison with Concurrent Next-Generation Sequencing Results.

Amir Momeni-Boroujeni1, Paulo Salazar1, Tao Zheng1, Nana Mensah1, Ivelise Rijo1, Snjezana Dogan1, JinYuan Yao1, Christine Moung1, Chad Vanderbilt1, Jamal Benhamida1, Jason Chang1, William Travis1, Natasha Rekhtman1, Marc Ladanyi1, Khedoudja Nafa1, Maria E Arcila2.   

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.
Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 33346146      PMCID: PMC7919857          DOI: 10.1016/j.jmoldx.2020.11.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  34 in total

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Journal:  J Mol Diagn       Date:  2019-08-22       Impact factor: 5.568

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Authors:  Ahmet Zehir; Ryma Benayed; Ronak H Shah; Aijazuddin Syed; Sumit Middha; Hyunjae R Kim; Preethi Srinivasan; Jianjiong Gao; Debyani Chakravarty; Sean M Devlin; Matthew D Hellmann; David A Barron; Alison M Schram; Meera Hameed; Snjezana Dogan; Dara S Ross; Jaclyn F Hechtman; Deborah F DeLair; JinJuan Yao; Diana L Mandelker; Donavan T Cheng; Raghu Chandramohan; Abhinita S Mohanty; Ryan N Ptashkin; Gowtham Jayakumaran; Meera Prasad; Mustafa H Syed; Anoop Balakrishnan Rema; Zhen Y Liu; Khedoudja Nafa; Laetitia Borsu; Justyna Sadowska; Jacklyn Casanova; Ruben Bacares; Iwona J Kiecka; Anna Razumova; Julie B Son; Lisa Stewart; Tessara Baldi; Kerry A Mullaney; Hikmat Al-Ahmadie; Efsevia Vakiani; Adam A Abeshouse; Alexander V Penson; Philip Jonsson; Niedzica Camacho; Matthew T Chang; Helen H Won; Benjamin E Gross; Ritika Kundra; Zachary J Heins; Hsiao-Wei Chen; Sarah Phillips; Hongxin Zhang; Jiaojiao Wang; Angelica Ochoa; Jonathan Wills; Michael Eubank; Stacy B Thomas; Stuart M Gardos; Dalicia N Reales; Jesse Galle; Robert Durany; Roy Cambria; Wassim Abida; Andrea Cercek; Darren R Feldman; Mrinal M Gounder; A Ari Hakimi; James J Harding; Gopa Iyer; Yelena Y Janjigian; Emmet J Jordan; Ciara M Kelly; Maeve A Lowery; Luc G T Morris; Antonio M Omuro; Nitya Raj; Pedram Razavi; Alexander N Shoushtari; Neerav Shukla; Tara E Soumerai; Anna M Varghese; Rona Yaeger; Jonathan Coleman; Bernard Bochner; Gregory J Riely; Leonard B Saltz; Howard I Scher; Paul J Sabbatini; Mark E Robson; David S Klimstra; Barry S Taylor; Jose Baselga; Nikolaus Schultz; David M Hyman; Maria E Arcila; David B Solit; Marc Ladanyi; Michael F Berger
Journal:  Nat Med       Date:  2017-05-08       Impact factor: 53.440

9.  Clinical performance evaluation of the Idylla™ EGFR Mutation Test on formalin-fixed paraffin-embedded tissue of non-small cell lung cancer.

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Journal:  BMC Cancer       Date:  2020-04-03       Impact factor: 4.430

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Journal:  J Mol Diagn       Date:  2022-04-14       Impact factor: 5.341

2.  Percutaneous Image-Guided Biopsy for a Comprehensive Hybridization Capture-Based Next-Generation Sequencing in Primary Lung Cancer: Safety, Efficacy, and Predictors of Outcome.

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3.  Utility of Select Gene Mutation Detection in Tumors by the Idylla Rapid Multiplex PCR Platform in Comparison to Next-Generation Sequencing.

Authors:  Dingani Nkosi; Vektra L Casler; Chauncey R Syposs; Zoltán N Oltvai
Journal:  Genes (Basel)       Date:  2022-04-29       Impact factor: 4.141

4.  Contribution of the IdyllaTM System to Improving the Therapeutic Care of Patients with NSCLC through Early Screening of EGFR Mutations.

Authors:  Constance Petiteau; Gwladys Robinet-Zimmermann; Adèle Riot; Marine Dorbeau; Nicolas Richard; Cécile Blanc-Fournier; Frédéric Bibeau; Simon Deshayes; Emmanuel Bergot; Radj Gervais; Guénaëlle Levallet
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