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Drug resistant cancer cells show increased nuclear mechanotransduction and mechanically targetable YAP-regulated vulnerability
期刊文章

Drug resistant cancer cells show increased nuclear mechanotransduction and mechanically targetable YAP-regulated vulnerability

M. Huang, Y. Chen, C. Liang, O.P. Narayan, C. Stallings, M. Yu, C. Traugot, L. Li, K. Li, Q. Vo, …
Biomaterials, 卷.329
2026
Web of Science ID: WOS:001652886500001

摘要

CRISPR/Cas9-engineered endogenous protein labelling Drug resistance Drug-resistant cancer cells (DRCs) Drug-tolerant persister cells (DTPs) Mechano-targeted cancer vulnerability Mechanobiology Nuclear mechanics Optical interrogation Yes-associated protein (YAP) Adaptor Proteins, Signal Transducing Carcinoma, Non-Small-Cell Lung Cell Line, Tumor Cell Nucleus Drug Resistance, Neoplasm Humans Lung Neoplasms Mechanotransduction, Cellular Transcription Factors YAP-Signaling Proteins Biological organs Cells Cytology Diseases Lung cancer Oncology Targeted drug delivery 4 (1 aminoethyl) n (4 pyridyl)cyclohexanecarboxamide carrier proteins and binding proteins connective tissue growth factor cysteine rich protein 61 F actin fibroblast growth factor receptor 1 fibronectin growth factor receptor lamin A lamin C myosin adenosine triphosphatase osimertinib YAP signaling protein signal transducing adaptor protein transcription factor YAP signaling protein YAP1 protein, human Cancer cells CRISPR/cas9-engineered endogenous protein labeling Drug-resistance Drug-resistant cancer cell Drug-tolerant persister cell Mechano-biology Mechano-targeted cancer vulnerability Nuclear mechanic Optical interrogation Persister cells Protein labeling Yes-associated protein actomyosin contractility animal cell Article atomic force microscopy cancer cell cancer therapy cell nucleus clustered regularly interspaced short palindromic repeat confocal microscopy contact mode mapping force spectroscopy controlled study cytoplasm data mining Fourier transform infrared spectroscopy gene expression human human cell image analysis immunofluorescence immunohistochemistry in vitro study lung cancer mechanotransduction mouse NCI-H3122 cell line non small cell lung cancer nonhuman nuclear mechanotransduction organoid PC-9 cell line pharmacology protein phosphorylation real time polymerase chain reaction RNA sequencing spatial analysis traction force microscopy treatment failure vulnerability cell nucleus drug effect drug resistance drug therapy lung tumor metabolism non small cell lung cancer pathology tumor cell line Tumors
Drug resistance is a leading cause of cancer treatment failure and tumor recurrence. Identifying new methods that eliminate life-threatening drug-resistant cancer cells (DRCs) can enhance tumor cell eradication and improve patient outcomes. Here we report that human non-small cell lung cancer (NSCLC) DRCs show previously unrecognized increased sensitivity to mechanical stimuli compared to drug-susceptible lung cancer cells (DSCs) in vitro. Exploiting this heightened mechanical sensitivity, the combination of physiologically soft culture microenvironment with targeted therapies reduces the survival of DRCs through regulating yes-associated-protein (YAP) translocation between nucleus and cytoplasm. Our clinical studies confirm that DRCs possess heightened YAP nuclear localization in both NSCLC patient-derived organoid models and patient tissues, indicating high potential of eradicating DRCs by mechanical stimuli in vivo. Further, our mechanistic analyses, including quantitative imaging, transcriptomic profiling, and pharmacological evaluations reveal that the alterations in nuclear force sensing, rather than actomyosin contractility or Hippo-YAP pathway activation in DRCs, primarily drive the heightened YAP mechanosensitivity. This work highlights the crucial difference in mechanosensitivity between DRCs and DSCs, and points to mechanobiological targeting of these cells as a novel strategy to overcome drug resistance and enhance cancer therapy. © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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