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• W2969837032 abstract "Non-small cell lung cancer (NSCLC) sensitive to first-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) often acquires resistance through secondary EGFR mutations, including the T790M mutation, aberrant c-Met receptor activity, or both. We assessed the ability of the highly selective c-Met inhibitor tepotinib to overcome EGFR TKI resistance in various xenograft models of NSCLC. In models with EGFR-activating mutations and low c-Met expression (patient explant-derived LU342, cell line PC-9), EGFR TKIs caused tumors to shrink, but growth resumed upon cessation of treatment. Tepotinib combined with EGFR TKIs delayed tumor regrowth, while tepotinib alone was ineffective. In patient explant-derived LU858, which has an EGFR-activating mutation and expresses high levels of c-Met/HGF, EGFR TKIs had no effect on tumor growth. Tepotinib combined with EGFR TKIs caused complete tumor regression and tepotinib alone caused tumor stasis. In cell line DFCI081 (activating EGFR mutation, c-Met amplification), EGFR TKIs were ineffective, whereas tepotinib alone induced complete tumor regression. Finally, in a 'double resistant' EGFR T790M-positive, high c-Met model (cell line HCC827-GR-T790M), the EGFR TKIs erlotinib, afatinib, and rociletinib, as well as tepotinib as a single agent or in combination with erlotinib or afatinib, slowed tumor growth, but only tepotinib in combination with rociletinib induced complete tumor regression. We conclude that tepotinib can overcome acquired resistance to EGFR TKIs. Based on these data, clinical trials of tepotinib in combination with EGFR TKIs in patients with NSCLC with acquired resistance to first-generation EGFR TKIs are warranted." @default.
• W2969837032 created "2019-08-29" @default.
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• W2969837032 date "2017-01-01" @default.
• W2969837032 modified "2023-09-29" @default.
• W2969837032 title "The selective c-Met inhibitor tepotinib can overcome epidermal growth factor receptor inhibitor resistance mediated by aberrant c-Met activation in NSCLC models." @default.
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