Version 1
: Received: 16 April 2024 / Approved: 16 April 2024 / Online: 17 April 2024 (11:36:48 CEST)
How to cite:
Lu, J.J.; Tsai, S.; Lin, L.; Chueh, T. Retrospective Analysis to Optimize the Detection of MET Exon 14 Skipping Mutations in Non-Small Cell Lung Cancer. Preprints2024, 2024041062. https://doi.org/10.20944/preprints202404.1062.v1
Lu, J.J.; Tsai, S.; Lin, L.; Chueh, T. Retrospective Analysis to Optimize the Detection of MET Exon 14 Skipping Mutations in Non-Small Cell Lung Cancer. Preprints 2024, 2024041062. https://doi.org/10.20944/preprints202404.1062.v1
Lu, J.J.; Tsai, S.; Lin, L.; Chueh, T. Retrospective Analysis to Optimize the Detection of MET Exon 14 Skipping Mutations in Non-Small Cell Lung Cancer. Preprints2024, 2024041062. https://doi.org/10.20944/preprints202404.1062.v1
APA Style
Lu, J.J., Tsai, S., Lin, L., & Chueh, T. (2024). Retrospective Analysis to Optimize the Detection of MET Exon 14 Skipping Mutations in Non-Small Cell Lung Cancer. Preprints. https://doi.org/10.20944/preprints202404.1062.v1
Chicago/Turabian Style
Lu, J.J., Lee-Chung Lin and Tsung-Hsi Chueh. 2024 "Retrospective Analysis to Optimize the Detection of MET Exon 14 Skipping Mutations in Non-Small Cell Lung Cancer" Preprints. https://doi.org/10.20944/preprints202404.1062.v1
Abstract
Our study optimized MET ex14 skipping mutation detection by analyzing 223 Oncomine Focus Assay (OFA)-positive cases using Pan Lung Cancer PCR Panel (AmoyDx) and reverse transcription (RT)-PCR. Among the 11 MET ex14 skipping mutation-positive cases (average read counts: 1,390), two with OFA read counts of 2540 and 10177 were positive on all platforms. Those with OFA read counts ranging from 179–612 tested negative elsewhere. Specimens with low ratios (average ratio: 0.12% for nine cases) may yield false-positive results. Our results suggested monitoring read counts and ratios, and validating results with RT-PCR, is crucial to prevent false positives.
Medicine and Pharmacology, Oncology and Oncogenics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
