A dynamical model of oncotripsy by mechanical cell fatigue: selective cancer cell ablation by low-intensity pulsed ultrasound
Abstract
The method of oncotripsy, first proposed in Heyden & Ortiz (Heyden & Ortiz 2016 J. Mech. Phys. Solids 92, 164–175 (doi:10.1016/j.jmps.2016.04.016)), exploits aberrations in the material properties and morphology of cancerous cells in order to ablate them selectively by means of tuned low-intensity pulsed ultrasound. We propose the dynamical model of oncotripsy that follows as an application of cell dynamics, statistical mechanical theory of network elasticity and 'birth–death' kinetics to describe the processes of damage and repair of the cytoskeleton. We also develop a reduced dynamical model that approximates the three-dimensional dynamics of the cell and facilitates parametric studies, including sensitivity analysis and process optimization. We show that the dynamical model predicts—and provides a conceptual basis for understanding—the oncotripsy effect and other trends in the data of Mittelstein et al. (Mittelstein et al. 2019 Appl. Phys. Lett. 116, 013701 (doi:10.1063/1.5128627)), for cells in suspension, including the dependence of cell-death curves on cell and process parameters.
Additional Information
© 2020 The Author(s). Published by the Royal Society. Manuscript received 18/10/2019; Manuscript accepted 23/03/2020; Published online 29/04/2020; Published in print 29/04/2020. Data accessibility: This article has no additional data. Authors' contributions: M.O. conceived the study. E.F.S. and M.O. developed the theory and drafted the manuscript with input from all authors. All authors discussed the manuscript and gave final approval for publication. We declare we have no competing interests. The support of the California Institute of Technology through the Rothenberg Innovation Initiative and through the Caltech–City of Hope Biomedical Research Initiative is gratefully acknowledged.Attached Files
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Additional details
- Alternative title
- A Dynamical Model of Oncotripsy by Mechanical Cell Fatigue: Selective Cancer Cell Ablation by Low-Intensity Pulsed Ultrasound (LIPUS)
- PMCID
- PMC7209139
- Eprint ID
- 100410
- Resolver ID
- CaltechAUTHORS:20191223-114059821
- Rothenberg Innovation Initiative (RI2)
- Caltech-City of Hope Biomedical Initiative
- Created
-
2019-12-23Created from EPrint's datestamp field
- Updated
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2023-09-08Created from EPrint's last_modified field
- Caltech groups
- GALCIT