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◆ British journal of pharmacology2026-08-24

Multidimensional viscoelastic mechanical indexes for assessing chemotherapeutic drug efficacy and chemoresistance.

Guanlin Zhou, Chao Wang, Chengwei Wu, Wei Zhang

原始摘要(英文原文)· Original abstract
BACKGROUND AND PURPOSE: Assessing chemoresistance in cancer cells is crucial for chemotherapy treatment. Current assessment methods usually rely on biochemical reagents and are labour-intensive and time-consuming. Increasing evidence has revealed links between drug-induced changes in cell mechanical properties and cell viability. However, a method that can assess drug efficacy and chemoresistance using drug-induced variation in cellular mechanical parameters is still lacking. EXPERIMENTAL APPROACH: MCF7 and MCF7/ADR breast cancer cells were incubated with doxorubicin (DOX), and the changes in viscoelastic mechanical parameters were measured using atomic force microscopy (AFM) indentation. The cell viability was measured using CCK-8 assays and fluorescence staining. Using support vector machine (SVM)-assessed mechanical separability, the classification index (σ) and drug resistance index (η) were proposed as mechanical indicators of drug efficacy and chemoresistance, respectively. KEY RESULTS: DOX treatment increased the elastic modulus, equilibrium elastic modulus and apparent viscosity of cells, and decreased the power-law exponent. The extent of these changes increased with DOX concentration. The consistent trends between σ and Mahalanobis distance, combined with Hotelling's T2 significance analysis, supported σ as an indicator of mechanical-parameter separability. The changes in cell viability were consistent with changes in σ and η. CONCLUSION AND IMPLICATIONS: The σ values reflected drug efficacy, whereas η provided an indicator of chemoresistance. The proposed method offers a simple, rapid, and label-free complement to in vitro drug-sensitivity testing.
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Multidimensional viscoelastic mechanical indexes for assessing chemotherapeutic drug efficacy and chemoresistance. — 科研速览 Science Skim