Evidence map›Paper›PMID 42735493›Full record

ArticleNeoplasia (New York, N.Y.)2026

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

Manon A Simard, Elba Marín, Silvia García-Roman, Cristina Aguado, Michail Yekelchyk, Carolin Schmelas, Nina Berges, Balca R Mardin, Sophie Ockfen, Rebecca Schaefer and 18 more

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Manon A SimardResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Elba MarínHospital Clinic, Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain.
Silvia García-RomanPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain.
Cristina AguadoPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain.
Michail YekelchykResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Carolin SchmelasLab Services, Site Management, the healthcare business of Merck KGaA, Darmstadt, Germany.
Nina BergesDiscovery Development Technologies, the healthcare business of Merck KGaA, Darmstadt, Germany.
Balca R MardinResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Sophie OckfenResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany; Lab Services, Site Management, the healthcare business of Merck KGaA, Darmstadt, Germany.
Rebecca SchaeferResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany; Lab Services, Site Management, the healthcare business of Merck KGaA, Darmstadt, Germany.
Markus EsserLab Services, Site Management, the healthcare business of Merck KGaA, Darmstadt, Germany.
Jing YangResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Felix GeistResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Oliver SchadtDiscovery Development Technologies, the healthcare business of Merck KGaA, Darmstadt, Germany.
Christof ReuschResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Sebastian BenderResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Núria Jordana-ArizaPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain.
Carlos EsparréPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain; Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Ruth RománPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain.
Tolulope ApataHospital Clinic, Barcelona, Spain.
Cristina TeixidoDepartment of Medicine, University of Barcelona, Barcelona, Spain; Translational Genomics and Targeted Therapeutics in Solid Tumors, IDIBAPS, Barcelona, Spain; Molecular Biology CORE & Department of Pathology, Hospital Clinic Barcelona, Barcelona, Spain.
Marc Rico-PastóHospital Clinic, Barcelona, Spain; Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain; Unit of Biophysics and Bioengineering, Department of Biomedicine, School of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain.
Sara Hijazo-PecheroHospital Clinic, Barcelona, Spain.
Marina QuerolHospital Clinic, Barcelona, Spain.
Marie MorfouaceResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany.
Miguel Ángel Molina-VilaPangaea Oncology, Hospital Universitari Dexeus, Barcelona, Spain.
Noemí ReguartHospital Clinic, Barcelona, Spain.
Niki KarachaliouResearch Unit Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany; Global Clinical Development, Oncology, the healthcare business of Merck KGaA, Darmstadt, Germany. Electronic address: niki.karachaliou@emdgroup.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimType 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.

methodsPaired 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.

resultsMET 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.

conclusionsMET inhibitor resistance in this cohort involved overlapping, context-dependent genomic, phenotypic, and signaling adaptations, supporting combination strategies for MET-altered lung cancer.

Indexed as

CRISPR screenLung cancer (NSCLC)MET exon 14MET inhibitionResistanceSpatial transcriptomics

Identifiers

PMID42735493
PMCPMC13594760

What Socratic holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.