| Autor: |
Jörg Kumbrink, Melanie-Christin Demes, Jan Jeroch, Andreas Bräuninger, Kristin Hartung, Uwe Gerstenmaier, Ralf Marienfeld, Axel Hillmer, Nadine Bohn, Christina Lehning, Ferdinand Ferch, Peter Wild, Stefan Gattenlöhner, Peter Möller, Frederick Klauschen, Andreas Jung |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Pathology and Oncology Research, Vol 30 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1532-2807 |
| DOI: |
10.3389/pore.2024.1611590 |
| Popis: |
Lung cancer is a paradigm for a genetically driven tumor. A variety of drugs were developed targeting specific biomarkers requiring testing for tumor genetic alterations in relevant biomarkers. Different next-generation sequencing technologies are available for library generation: 1) anchored multiplex-, 2) amplicon based- and 3) hybrid capture-based-PCR. Anchored multiplex PCR-based sequencing was investigated for routine molecular testing within the national Network Genomic Medicine Lung Cancer (nNGM). Four centers applied the anchored multiplex ArcherDX-Variantplex nNGMv2 panel to re-analyze samples pre-tested during routine diagnostics. Data analyses were performed by each center and compiled centrally according to study design. Pre-defined standards were utilized, and panel sensitivity was determined by dilution experiments. nNGMv2 panel sequencing was successful in 98.9% of the samples (N = 90). With default filter settings, all but two potential MET exon 14 skipping variants were identified at similar allele frequencies. Both MET variants were found with an adapted calling filter. Three additional variants (KEAP1, STK11, TP53) were called that were not identified in pre-testing analyses. Only total DNA amount but not a qPCR-based DNA quality score correlated with average coverage. Analysis was successful with a DNA input as low as 6.25 ng. Anchored multiplex PCR-based sequencing (nNGMv2) and a sophisticated user-friendly Archer-Analysis pipeline is a robust and specific technology to detect tumor genetic mutations for precision medicine of lung cancer patients. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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