Assessing standardization of molecular testing for non-small-cell lung cancer: results of a worldwide external quality assessment (EQA) scheme for EGFR ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-07

AUTHORS

S Patton, N Normanno, F Blackhall, S Murray, K M Kerr, M Dietel, M Filipits, S Benlloch, S Popat, R Stahel, E Thunnissen

ABSTRACT

BACKGROUND: The external quality assurance (EQA) process aims at establishing laboratory performance levels. Leading European groups in the fields of EQA, Pathology, and Medical and Thoracic Oncology collaborated in a pilot EQA scheme for somatic epidermal growth factor receptor (EGFR) gene mutational analysis in non-small-cell lung cancer (NSCLC). METHODS: EQA samples generated from cell lines mimicking clinical samples were provided to participating laboratories, each with a mock clinical case. Participating laboratories performed the analysis using their usual method(s). Anonymous results were assessed and made available to all participants. Two subsequent EQA rounds followed the pilot scheme. RESULTS: One hundred and seventeen labs from 30 countries registered and 91 returned results. Sanger sequencing and a commercial kit were the main methodologies used. The standard of genotyping was suboptimal, with a significant number of genotyping errors made. Only 72 out of 91 (72%) participants passed the EQA. False-negative and -positive results were the main sources of error. The quality of reports submitted was acceptable; most were clear, concise and easy to read. However, some participants reported the genotyping result in the absence of any interpretation and many obscured the interpretation required for clinical care. CONCLUSIONS: Even in clinical laboratories, the technical performance of genotyping in EGFR mutation testing for NSCLC can be improved, evident from a high level of diagnostic errors. Robust EQA can contribute to global optimisation of EGFR testing for NSCLC patients. More... »

PAGES

413

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2014.353

DOI

http://dx.doi.org/10.1038/bjc.2014.353

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031292165

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24983368


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