Evidence map›Paper›PMID 42087187›Full record

ArticleCell communication and signaling : CCS2026

Unmasking the common enemy: drug resistance mechanisms across three different EGFR inhibitor generations are associated with co-targetable alterations in extracellular matrix signaling.

Yu Zhang, Okan Gültekin, Rudolf Kupčík, Youssif Budagaga, Dimitrios Vagiannis, Ziba Sabet, Kaisa Lehti, Jakub Hofman

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu Zhang *Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic.
Okan Gültekin *Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, Solna, 171 65, Sweden.
Rudolf KupčíkBiomedical Research Centre, University Hospital Hradec Králové, Sokolská 581, Hradec Králové, 500 05, Czech Republic.
Youssif BudagagaDepartment of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic.
Dimitrios VagiannisDepartment of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic.
Ziba SabetDepartment of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic.
Kaisa LehtiDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, Solna, 171 65, Sweden.
Jakub HofmanDepartment of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic. hofmanj@faf.cuni.cz.

Funding

Fakultní nemocnice Hradec Králové 00179906Karolinska Institutet 2-5586/2017Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.01.01/00/22_008/0004607Norwegian Cancer Society 216113Novo Nordisk Foundation NNF21OC0070381Swedish Cancer Society 21 1888 PjUniverzita Karlova v Praze CZ.02.2.69/0.0/0.0/19_073/0016935
6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) have transformed non-small cell lung cancer (NSCLC) treatment, offering substantial survival benefits. However, acquired resistance remains a significant obstacle, undermining long-term efficacy. While specific mechanisms of EGFR-TKI resistance have been reported, potential shared mechanisms across EGFR-TKI generations have remained unclear.

methodsDrug-resistant HCC827 and NCI-H1975 cells were developed by a 10-month stepwise selection using gefitinib, dacomitinib, and osimertinib, representing first, second, and third EGFR-TKI generations, respectively. Global proteomes of the resistant and parental NSCLC cell lines were compared using liquid chromatography tandem mass spectrometry. After bioinformatic pathway analyses, the candidate protein and gene alterations were validated by western blotting and droplet digital PCR. Drug (cross-)resistance patterns and reversal responses were quantified by MTT assay after single and combination drug treatments, or gene silencing by small interfering RNA. Invasive cell activities were evaluated in spheroid models within three-dimensional (3D) collagen matrices. Bioinformatics analyses of open-access transcriptomic datasets were applied to explore gene expression alterations linked to clinical EGFR mutations and disease prognosis and relapse.

resultsWe established EGFR-TKI-resistant NSCLC cell lines for all three drug generations, demonstrating cross-resistance and significantly enhanced invasive potential in 3D collagen. Notably, extracellular matrix components and signaling proteins (FN1, FAK, YAP1) were found altered and validated as synergistically targetable resistance drivers across all three drug generations, irrespective of cellular background. Moreover, the second- and third-generation models shared co-targetable dysregulations in cancer stemness regulators (Hedgehog, Notch), anti-apoptotic protein BCL-2, and the drug efflux transporter ABCG2. Finally, transcriptomic analysis showed that in human EGFR-positive NSCLC tumors, overexpression of FN1 and collagen-related genes was associated with post-treatment relapse and poor patient survival.

conclusionsThis study identifies/validates key mechanisms of EGFR-TKI resistance and suggests combinatorial therapeutic strategies as potential interventions against EGFR-TKI-resistant lung cancers, with promising implications for improving clinical outcomes.

Indexed as

Drug Resistance, NeoplasmExtracellular MatrixProtein Kinase InhibitorsSignal TransductionCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsGene Expression Regulation, NeoplasticHumansLung NeoplasmsEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsAcquired drug resistanceDrug combinationEpidermal growth factor receptor tyrosine kinase inhibitorExtracellular matrixNon-small cell lung cancer

Identifiers

PMID42087187
PMCPMC13312578

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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 OpenQuestion graph.