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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.
Momeni-Boroujeni, Amir; Salazar, Paulo; Zheng, Tao; Mensah, Nana; Rijo, Ivelise; Dogan, Snjezana; Yao, JinYuan; Moung, Christine; Vanderbilt, Chad; Benhamida, Jamal; Chang, Jason; Travis, William; Rekhtman, Natasha; Ladanyi, Marc; Nafa, Khedoudja; Arcila, Maria E.
Afiliação
  • Momeni-Boroujeni A; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Salazar P; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Zheng T; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Mensah N; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Rijo I; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Dogan S; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Yao J; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Moung C; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Vanderbilt C; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Benhamida J; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Chang J; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Travis W; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Rekhtman N; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Ladanyi M; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Nafa K; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Arcila ME; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: arcilam@mskcc.org.
J Mol Diagn ; 23(3): 310-322, 2021 03.
Article em En | MEDLINE | ID: mdl-33346146
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Mutacional de DNA / Mutação Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Mutacional de DNA / Mutação Idioma: En Ano de publicação: 2021 Tipo de documento: Article