First-line immunotherapy for lung cancer with MET exon 14 skipping and the relevance of TP53 mutations
- PMID: 38271745
- DOI: 10.1016/j.ejca.2024.113556
First-line immunotherapy for lung cancer with MET exon 14 skipping and the relevance of TP53 mutations
Erratum in
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Corrigendum to "First-line immunotherapy for lung cancer with MET exon 14 skipping and the relevance of TP53 mutations" [Eur J Cancer 199 (2024) 113556].Eur J Cancer. 2024 Jul;205:114130. doi: 10.1016/j.ejca.2024.114130. Epub 2024 May 24. Eur J Cancer. 2024. PMID: 38789333 No abstract available.
Abstract
Background: The efficacy of checkpoint inhibitors for non-small cell lung cancer (NSCLC) with MET exon 14 skipping (METΔ14ex) remains controversial.
Materials and methods: 110 consecutive METΔ14ex NSCLC patients receiving first-line chemotherapy (CHT) and/or immunotherapy (IO) in 10 German centers between 2016-2022 were analyzed.
Results: Combined CHT-IO was given to 35/110 (32%) patients, IO alone to 43/110 (39%), and CHT to 32/110 (29%) upfront. Compared to CHT, CHT-IO showed longer progression-free survival (median PFS 6 vs. 2.5 months, p = 0.004), more objective responses (ORR 49% vs. 28%, p = 0.086) and numerically longer overall survival (OS 16 vs. 10 months, p = 0.240). For IO monotherapy, OS (14 vs. 16 months) and duration of response (26 vs. 22 months) were comparable to those of CHT-IO. Primary progressive disease (PD) was more frequent with IO compared to CHT-IO (13/43 vs. 3/35, p = 0.018), particularly for never-smokers (p = 0.041). Higher PD-L1 TPS were not associated with better IO outcomes, but TP53 mutated tumors showed numerically improved ORR (56% vs. 32%, p = 0.088) and PFS (6 vs. 3 months, p = 0.160), as well as longer OS in multivariable analysis (HR=0.54, p = 0.034) compared to their wild-type counterparts. Any second-line treatment was administered to 35/75 (47%) patients, with longer survival for capmatinib or tepotinib compared to crizotinib (PFS 10 vs. 3 months, p = 0.013; OS 16 vs. 13 months, p = 0.270).
Conclusion: CHT-IO is superior to CHT, and IO alone also effective for METΔ14ex NSCLC, especially in the presence of TP53 mutations and independent of PD-L1 expression, but never-smokers are at higher risk of primary PD.
Keywords: Immunotherapy; Lung cancer; Met exon 14 skipping; TP53; Tyrosine kinase inhibitors.
Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JK: speaker’s honoraria from BMS, AstraZeneca and Pfizer, travel grants from Takeda, advisory board honoraria from Takeda, Roche and AstraZeneca. DM: advisory board/lecture fees from AstraZeneca, BMS, Boehringer Ingelheim, Lilly, MSD, Novartis, Roche, Sanofi and Takeda. DiKa: advisory boards/speaker´s honoraria from BMS, Boehringer-Ingelheim, MSD, Roche, Janssen, Pfizer, AstraZeneca; support for attending meetings from Novartis, Boehringer-Ingelheim. MH: advisory board, speaker’s honoraria and travel grants from Boehringer-Ingelheim. BH: advisory board/lecture fees from AstraZeneca, Boehringer Ingelheim, BMS, MSD, Roche, Pfizer. MF: grants from AstraZeneca, BMS, MSD, and Roche; consulting fees from AstraZeneca, MSD, Roche, BMS; speaker´s honoraria from AstraZeneca, MSD, Roche, BMS. MK: speaker’s honoraria and travel grants from Veracyte Inc. AV: speaker’s honoraria from AstraZeneca. MA: speaker’s honoraria from Boehringer Ingelheim. CG: advisory board/lecture fees from Amgen, AstraZeneca, BMS, Boehringer Ingelheim, Eli Lilly, Takeda, MSD, Novartis, Pfizer, Roche, AbbVie, Tesaro/GSK and Blueprints Medicines. AT: consulting fees from Boehringer Ingelheim, Daiichi, Astra Zeneca, Roche, Pfizer, BMS, MSD, Sanofi, Lilly, Novartis; speaker’s honoraria from Boehringer Ingelheim, Daiichi, Astra Zeneca, Roche, Pfizer, BMS, MSD, Sanofi, Lilly, Novartis; travel grants from Sanofi, Janssen, Daiichi; BMS, MSD, AstraZeneca. MR: advisory board/lecture fees from Amgen, AstraZeneca, BMS, Boehringer, Lilly, Merck, MSD, Novartis, Pfizer, Roche, Samsung. NF: grants from Roche, consulting fees from AbbVie, Amgen, AstraZeneca, BeiGene, Berlinchemie, Boehringer Ingelheim, Bristol Myers&Squibb, Lilly, Merck Sharp&Dohme, Merck, Novartis, Pfizer, Roche, Sanofi, Takeda; support for attending meetings from Amgen, AstraZeneca, BMS, Janssen, Lilly, Takeda. AS: advisory board honoraria from BMS, AstraZeneca, ThermoFisher, Novartis, speaker’s honoraria from BMS, Illumina, AstraZeneca, Novartis, ThermoFisher, MSD, Roche, and research funding from Chugai and BMS. MT: research funding from AstraZeneca, BMS, Merck, Roche, Takeda; speaker’s honoraria from AstraZeneca, Beigene, Novartis, Eli Lilly, BMS, MSD, Roche, Celgene, Takeda, AbbVie, Boehringer Ingelheim, Pfizer, Eli Lilly, MSD, Takeda, Pfizer, Chugai, Daiichi Sankyo, GlaxoSmithKline, Janssen Oncology, Merck, Sanofi and travel grants from AstraZeneca, BMS, MSD, Novartis, Daiichi Sankyo, Janssen Oncology, Lilly, Merck, Pfizer, Roche, Sanofi, Takeda, Boehringer Ingelheim. PC: research funding from AstraZeneca, Amgen, Boehringer Ingelheim, Novartis, Roche, and Takeda, speaker’s honoraria from AstraZeneca, Janssen, Novartis, Roche, Pfizer, Thermo Fisher, Takeda, support for attending meetings from AstraZeneca, Eli Lilly, Daiichi Sankyo, Gilead, Novartis, Pfizer, Takeda, and personal fees for participating to advisory boards from AstraZeneca, Boehringer Ingelheim, Chugai, Pfizer, Novartis, MSD, Takeda and Roche, all outside the submitted work. All other authors have no conflicts of interest to declare.
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