Literature DB >> 29704571

Detection of EGFR Variants in Plasma: A Multilaboratory Comparison of a Real-Time PCR EGFR Mutation Test in Europe.

Cleo Keppens1, John F Palma2, Partha M Das3, Sidney Scudder3, Wei Wen3, Nicola Normanno4, J Han van Krieken5, Alessandra Sacco4, Francesca Fenizia4, David Gonzalez de Castro6, Selma Hönigschnabl7, Izidor Kern8, Fernando Lopez-Rios9, Maria D Lozano10, Antonio Marchetti11, Philippe Halfon12, Ed Schuuring13, Ulrike Setinek14, Boe Sorensen15, Phillipe Taniere16, Markus Tiemann17, Hana Vosmikova18, Elisabeth M C Dequeker19.   

Abstract

Molecular testing of EGFR is required to predict the response likelihood to targeted therapy in non-small cell lung cancer. Analysis of circulating tumor DNA in plasma may complement limitations of tumor tissue. This study evaluated the interlaboratory performance and reproducibility of a real-time PCR EGFR mutation test (cobas EGFR Mutation Test v2) to detect EGFR variants in plasma. Fourteen laboratories received two identical panels of 27 single-blinded plasma samples. Samples were wild type or spiked with plasmid DNA to contain seven common EGFR variants at six predefined concentrations from 50 to 5000 copies per milliliter. The circulating tumor DNA was extracted by a cell-free circulating DNA sample preparation kit (cobas cfDNA Sample Preparation Kit), followed by duplicate analysis with the real-time PCR EGFR mutation test (Roche Molecular Systems, Pleasanton, CA). Lowest sensitivities were obtained for the c.2156G>C p.(Gly719Ala) and c.2573T>G p.(Leu858Arg) variants for the lowest target copies. For all other variants, sensitivities varied between 96.3% and 100.0%. All specificities were 98.8% to 100.0%. Coefficients of variation indicated good intralaboratory and interlaboratory repeatability and reproducibility but increased for decreasing concentrations. Prediction models revealed a significant correlation for all variants between the predefined copy number and the observed semiquantitative index values, which reflect the samples' plasma mutation load. This study demonstrates an overall robust performance of the real-time PCR EGFR mutation test kit in plasma. Prediction models may be applied to estimate the plasma mutation load for diagnostic or research purposes.
Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29704571     DOI: 10.1016/j.jmoldx.2018.03.006

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


  8 in total

1.  Advances in Microfluidics for the Implementation of Liquid Biopsy in Clinical Routine.

Authors:  Alexandra Teixeira; Adriana Carneiro; Paulina Piairo; Miguel Xavier; Alar Ainla; Cláudia Lopes; Maria Sousa-Silva; Armando Dias; Ana S Martins; Carolina Rodrigues; Ricardo Pereira; Liliana R Pires; Sara Abalde-Cela; Lorena Diéguez
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

2.  The art of obtaining a high yield of cell-free DNA from urine.

Authors:  Elien Augustus; Kaat Van Casteren; Laure Sorber; Peter van Dam; Geert Roeyen; Marc Peeters; Alex Vorsters; An Wouters; Jo Raskin; Christian Rolfo; Karen Zwaenepoel; Patrick Pauwels
Journal:  PLoS One       Date:  2020-04-06       Impact factor: 3.240

3.  Clinical feasibility of NGS liquid biopsy analysis in NSCLC patients.

Authors:  Eirini Papadopoulou; Nikolaos Tsoulos; Katerina Tsantikidi; Vasiliki Metaxa-Mariatou; Pinelopi Eleftheria Stamou; Athina Kladi-Skandali; Evgenia Kapeni; Georgios Tsaousis; George Pentheroudakis; Dimitrios Petrakis; Dimitra Ioanna Lampropoulou; Gerasimos Aravantinos; Ioannis Varthalitis; George Kesisis; Ioannis Boukovinas; Pavlos Papakotoulas; Nikolaos Katirtzoglou; Elias Athanasiadis; Flora Stavridi; Christos Christodoulou; Anna Koumarianou; Yeşim Eralp; George Nasioulas
Journal:  PLoS One       Date:  2019-12-20       Impact factor: 3.240

4.  Molecular characterization of advanced non-small cell lung cancer patients by cfDNA analysis: experience from routine laboratory practice.

Authors:  José Manuel González de Aledo-Castillo; Ainara Arcocha; Iván Victoria; Ana Isabel Martinez-Puchol; Cristina Sánchez; Pedro Jares; Gabriel Felipe Rodríguez; Núria Viñolas; Roxana Reyes; Noemí Reguart; Joan Antón Puig-Butillé
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 2.895

Review 5.  The Role of Circulating Biomarkers in Lung Cancer.

Authors:  Sayuri Herath; Habib Sadeghi Rad; Payar Radfar; Rahul Ladwa; Majid Warkiani; Ken O'Byrne; Arutha Kulasinghe
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

Review 6.  Prognostic Value of Circulating Tumor DNA (ctDNA) in Oncogene-Driven NSCLC: Current Knowledge and Future Perspectives.

Authors:  Eleni Zografos; Foteinos-Ioannis Dimitrakopoulos; Angelos Koutras
Journal:  Cancers (Basel)       Date:  2022-10-10       Impact factor: 6.575

7.  Development and validation of a model to predict tyrosine kinase inhibitor-sensitive EGFR mutations of non-small cell lung cancer based on multi-institutional data.

Authors:  Hui Chang; Yuan-Bin Liu; Wei Yi; Jia-Bin Lu; Jie-Xia Zhang
Journal:  Thorac Cancer       Date:  2018-10-03       Impact factor: 3.500

Review 8.  [Progress of Liquid Biopsy in the Diagnosis and Treatment of Lung Cancer 
with Malignant Pleural Effusion].

Authors:  Hao Zeng; Panwen Tian; Weimin Li
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-07-14
  8 in total

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