Understanding tumor adaptations and resistance to MET inhibitors in MET-altered non-small cell lung cancer

Aim Type Ib MET inhibitors are clinically active in selected MET-altered non-small cell lung cancer, particularly tumors with MET exon 14 skipping or MET amplification, but acquired resistance remains incompletely understood. Here, we investigated resistance across biologically distinct MET-altered contexts, including MET exon 14 skipping, MET amplification, and MET overexpression. Methods Paired baseline and progression samples from seven patients treated with tepotinib or capmatinib were analyzed using spatial transcriptomics, whole-exome sequencing, RNA sequencing, CRISPR screening, and drug-combination assays. Patient-derived cultures and resistant cell-line models were used to explore resistance-associated changes. Results MET inhibitor resistance was heterogeneous, with persistence of the initial MET alteration in most evaluable cases and emergence of patient-specific genomic events. Three main resistance-associated, often overlapping, routes were identified: on-target MET evolution through kinase-domain alterations; extracellular matrix and tumor-microenvironment remodeling, including collagen and fibronectin upregulation, complement-related signaling, and partial EMT-associated programs; and bypass signaling involving EGFR/HER, MAPK, and PI3K/Akt pathways. In vitro models reproduced several tumor-cell-intrinsic features but only partially captured microenvironment-associated changes. Conclusions MET inhibitor resistance in this cohort involved overlapping, context-dependent genomic, phenotypic, and signaling adaptations, supporting combination strategies for MET-altered lung cancer.

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Publication Details

Journal
Neoplasia
Published
2026-09-14
DOI
https://doi.org/10.1016/j.neo.2026.101359
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
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article

Understanding tumor adaptations and resistance to MET inhibitors in MET-altered non-small cell lung cancer

Carlos Esparré, Cristina Teixidó, Sara Hijazo‐Pechero, Oliver Schadt et al.
Neoplasia
Lung Cancer Treatments and Mutations
article

Understanding tumor adaptations and resistance to MET inhibitors in MET-altered non-small cell lung cancer

Carlos Esparré, Cristina Teixidó, Sara Hijazo‐Pechero, Oliver Schadt, Elba Marín, Felix Geist, Nina Berges, Christof Reusch, Miguel Ángel Molina‐Vila, Michail Yekelchyk, Balca R. Mardin, Manon A. Simard, Niki Karachaliou, Marc Rico-Pastó, Noemı́ Reguart, Silvia García-Román, Jing Yang, Cristina Aguado, Sebastian Bender, Ruth Roman, Marina Querol, Tolulope Apata, Sophie Ockfen, Núria Jordana-Ariza, Marie Morfouace, Markus Esser, Carolin Schmelas, Rebecca Schaefer
article en

Abstract

Aim Type Ib MET inhibitors are clinically active in selected MET-altered non-small cell lung cancer, particularly tumors with MET exon 14 skipping or MET amplification, but acquired resistance remains incompletely understood. Here, we investigated resistance across biologically distinct MET-altered contexts, including MET exon 14 skipping, MET amplification, and MET overexpression. Methods Paired baseline and progression samples from seven patients treated with tepotinib or capmatinib were analyzed using spatial transcriptomics, whole-exome sequencing, RNA sequencing, CRISPR screening, and drug-combination assays. Patient-derived cultures and resistant cell-line models were used to explore resistance-associated changes. Results MET inhibitor resistance was heterogeneous, with persistence of the initial MET alteration in most evaluable cases and emergence of patient-specific genomic events. Three main resistance-associated, often overlapping, routes were identified: on-target MET evolution through kinase-domain alterations; extracellular matrix and tumor-microenvironment remodeling, including collagen and fibronectin upregulation, complement-related signaling, and partial EMT-associated programs; and bypass signaling involving EGFR/HER, MAPK, and PI3K/Akt pathways. In vitro models reproduced several tumor-cell-intrinsic features but only partially captured microenvironment-associated changes. Conclusions MET inhibitor resistance in this cohort involved overlapping, context-dependent genomic, phenotypic, and signaling adaptations, supporting combination strategies for MET-altered lung cancer.

NeoplasiaVol. 81
Good health and well-being
Openalex Percentile: Top 11%
Lung Cancer Treatments and Mutations
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