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• W3027327874 abstract "Background: In clinical oncology, targeted next-generation sequencing (NGS) has become an integral part of the routine molecular diagnostics repertoire. However, a consensus is yet to be agreed on the optimal mesenchymal-epithelial transition factor (MET) copy number (CN) cut-off value based on NGS data that could predict the MET-amplified non-small cell lung cancer (NSCLC) patients who could benefit from MET tyrosine kinase inhibitor (TKI) therapy. In this study, we aimed to identify the criteria to define MET amplification derived from NGS data." @default.
• W3027327874 created "2020-05-29" @default.
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• W3027327874 date "2020-06-01" @default.
• W3027327874 modified "2023-09-26" @default.
• W3027327874 title "High-level gain of mesenchymal-epithelial transition factor (MET) copy number using next-generation sequencing as a predictive biomarker for MET inhibitor efficacy" @default.
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• W3027327874 doi "https://doi.org/10.21037/atm-20-2741" @default.
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