A frequency-based hypothesis for mechanically targeting and selectively attacking cancer cells
| Autor: | Massimiliano Fraldi, Nicola M. Pugno, Luca Deseri, Andrea Cugno, Kaushik Dayal |
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| Přispěvatelé: | Fraldi, Massimiliano, Cugno, Andrea, Deseri, L., Dayal, K., Pugno, N. M. |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Pathology
medicine.medical_treatment Neoplastic transformations 02 engineering and technology Biochemistry Cytosol Neoplasms Cytoskeleton Cell Nucleu Research Articles Cancer 0303 health sciences Chemistry Viscosity Viscoelasticity Human cell 021001 nanoscience & nanotechnology Cell Transformation Neoplastic 0210 nano-technology Human Biotechnology medicine.medical_specialty Biophysics Biomedical Engineering Cell mechanic Reproducibility of Result Bioengineering Vibration Biomaterials 03 medical and health sciences Motion Cell Line Tumor Ultrasound medicine Biomarkers Tumor Humans 030304 developmental biology Cell Nucleus Therapeutic ultrasound Reproducibility of Results Models Theoretical Biomaterial In vitro Elasticity Biophysic Cell culture Cancer cell Neoplasm Stress Mechanical Neuroscience Ex vivo |
| Popis: | Experimental studies recently performed on single cancer and healthy cells have demonstrated that the former are about 70% softer than the latter, regardless of the cell lines and the measurement technique used for determining the mechanical properties. At least in principle, the difference in cell stiffness might thus be exploited to create mechanical-based targeting strategies for discriminating neoplastic transformations within human cell populations and for designing innovative complementary tools to cell-specific molecular tumour markers, leading to possible applications in the diagnosis and treatment of cancer diseases. With the aim of characterizing and gaining insight into the overall frequency response of single-cell systems to mechanical stimuli (typically low-intensity therapeutic ultrasound), a generalized viscoelastic paradigm, combining classical and spring-pot-based models, is introduced for modelling this problem by neglecting the cascade of mechanobiological events involving the cell nucleus, cytoskeleton, elastic membrane and cytosol. Theoretical results show that differences in stiffness, experimentally observed ex vivo and in vitro , allow healthy and cancer cells to be discriminated, by highlighting frequencies (from tens to hundreds of kilohertz) associated with resonance-like phenomena—prevailing on thermal fluctuations—that could be helpful in targeting and selectively attacking tumour cells. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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