Resonance-Induced Therapeutic Technique for Skin Cancer Cells
Hassan Liaquat1, Ahmed M Al-Jumaily1
1Institute of Biomedical Technologies, Auckland University of Technology, Auckland City, 1010, Auckland, New Zealand.
Objective:
This study aims to evaluate the viability of a hypothesis for selective targeting of skin cancer cells by exploiting the spectral gap with healthy cells using analytical and numerical simulation.
Methods:
The spectral gap was first identified using a viscoelastic dynamic model, with the physical and mechanical properties of healthy and cancerous skin cells deduced from previous experimental studies conducted on cell lines. The outcome of the analytical simulation was verified numerically using modal and harmonic analysis. Finally, transient analyses were conducted analytically and numerically to evaluate the difference in vibrational response of healthy and cancerous cells when their resonant frequencies were closely matched. For analysis, we used healthy nucleus diameters of 3 µm, 5 µm and 7 µm, whereas 34 kPa was taken as the stiffness of healthy skin epithelial cells. Based on established trends, the nucleus-to-cytoplasm ratio was utilised to predict physical and mechanical properties as cells undergo neoplastic transformation.
Results:
Analytical and numerical simulation revealed an approximate frequency difference of 50-100 KHz for the different nucleus diameters. The transient simulation revealed a significant difference in the growth rate of cancer cells' vibration amplitude, which was 10 times greater than that of healthy cells.
Conclusions:
This study highlights that cancer cells are more prone to resonance with tuned ultrasound frequencies, emphasising the need for detailed dynamic models incorporating the basement membrane's influence and experimental validation.
Insights
This study shows cancer cells resonate more with specific ultrasound frequencies than healthy cells, offering a potential method for selective cancer targeting. Further research is needed for clinical application.
Area of Science:
- Biophysics
- Computational Biology
- Oncology
Background:
- Distinguishing cancerous from healthy cells is crucial for effective cancer therapy.
- Exploiting biophysical differences between cell types offers a novel therapeutic avenue.
Purpose of the Study:
- To evaluate the hypothesis of selectively targeting skin cancer cells.
- To investigate the potential of exploiting the spectral gap between healthy and cancerous skin cells.
Main Methods:
- Utilized a viscoelastic dynamic model for analytical and numerical simulations.
- Performed modal, harmonic, and transient analyses on simulated cell properties.
- Predicted cell mechanical properties based on nucleus-to-cytoplasm ratio changes during neoplastic transformation.
Main Results:
- Identified an approximate frequency difference of 50-100 KHz between healthy and cancerous skin cells.
- Transient analysis showed cancer cells' vibration amplitude grew 10 times faster than healthy cells.
Conclusions:
- Cancer cells exhibit higher susceptibility to resonance with tuned ultrasound frequencies.
- Highlights the need for advanced dynamic models and experimental validation for ultrasound-based cancer targeting.
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