Mutation Spectrum of EGFR From 21,324 Chinese Patients With Non-Small Cell Lung Cancer (NSCLC) Successfully Tested by Multiple Methods in a CAP-Accredited Laboratory
Genotyping epidermal growth factor receptor ( ) gene in patients with advanced non-small cell lung cancers (NSCLC) is essential for identifying those patients who may benefit from targeted therapies. Systemically evaluating mutation detection rates of different methods currently used in clinical set...
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Veröffentlicht in: | Pathology oncology research 2021-04, Vol.27, p.602726 |
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Sprache: | eng |
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Zusammenfassung: | Genotyping epidermal growth factor receptor (
) gene in patients with advanced non-small cell lung cancers (NSCLC) is essential for identifying those patients who may benefit from targeted therapies. Systemically evaluating
mutation detection rates of different methods currently used in clinical setting will provide valuable information to clinicians and laboratory scientists who take care of NSCLC patients. This study retrospectively reviewed the
data obtained in our laboratory in last 10 years. A total of 21,324 NSCLC cases successfully underwent
genotyping for clinical therapeutic purpose, including 5,244 cases tested by Sanger sequencing, 13,329 cases tested by real-time PCR, and 2,751 tested by next-generation sequencing (NGS). The average
mutation rate was 45.1%, with 40.3% identified by Sanger sequencing, 46.5% by real-time PCR and 47.5% by NGS. Of these cases with
mutations identified, 93.3% of them harbored a single
mutation (92.1% with 19del or L858R, and 7.9% with uncommon mutations) and 6.7% harbored complex
mutations. Of the 72 distinct
variants identified in this study, 15 of them (single or complex
mutations) were newly identified in NSCLC. For these cases with
mutations tested by NGS, 65.3% of them also carried tumor-related variants in some non-
genes and about one third of them were considered candidates of targeted drugs. NGS method showed advantages over Sanger sequencing and real-time PCR not only by providing the highest mutation detection rate of
but also by identifying actionable non-
mutations with targeted drugs in clinical setting. |
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ISSN: | 1532-2807 1219-4956 1532-2807 |
DOI: | 10.3389/pore.2021.602726 |