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Modeling low-intensity ultrasound mechanotherapy impact on growing cancer stem cells

Author

Listed:
  • Blanco, Beatriz
  • Palma, Roberto
  • Hurtado, Manuel
  • Jiménez, Gema
  • Griñán-Lisón, Carmen
  • Melchor, Juan
  • Marchal, Juan Antonio
  • Gomez, Hector
  • Rus, Guillermo
  • Soler, Juan

Abstract

Targeted therapeutic interventions utilizing low-intensity ultrasound (LIUS) exhibit substantial potential for hindering the proliferation of cancer stem cells. This investigation introduces a multiscale model and computational framework to comprehensively explore the therapeutic LIUS on poroelastic tumor dynamics, thereby unraveling the intricacies of mechanotransduction mechanisms at play. Our model includes both macroscopic timescales encompassing days and rapid timescales spanning from microseconds to seconds, facilitating an in-depth comprehension of tumor behavior. We unveil the discerning suppression or reorientation of cancer cell proliferation and migration, enhancing a notable redistribution of cellular phases and stresses within the tumor microenvironment. Our findings defy existing paradigms by elucidating the impact of LIUS on cancer stem cell behavior. This endeavor advances our fundamental understanding of mechanotransduction phenomena in the context of LIUS therapy, thus underscoring its promising as a targeted therapeutic modality for cancer treatment. Furthermore, our results make a substantial contribution to the broader scientific community by shedding light on the intricate interplay between mechanical forces, cellular responses, and the spatiotemporal evolution of tumors. These insights hold the promising to promote a new perspective for the future development of pioneering and highly efficacious therapeutic strategies for combating cancer in a personalized manner.

Suggested Citation

  • Blanco, Beatriz & Palma, Roberto & Hurtado, Manuel & Jiménez, Gema & Griñán-Lisón, Carmen & Melchor, Juan & Marchal, Juan Antonio & Gomez, Hector & Rus, Guillermo & Soler, Juan, 2025. "Modeling low-intensity ultrasound mechanotherapy impact on growing cancer stem cells," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 228(C), pages 87-102.
  • Handle: RePEc:eee:matcom:v:228:y:2025:i:c:p:87-102
    DOI: 10.1016/j.matcom.2024.08.030
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    References listed on IDEAS

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    1. Myrofora Panagi & Fotios Mpekris & Pengwen Chen & Chrysovalantis Voutouri & Yasuhiro Nakagawa & John D. Martin & Tetsuro Hiroi & Hiroko Hashimoto & Philippos Demetriou & Chryso Pierides & Rekha Samuel, 2022. "Polymeric micelles effectively reprogram the tumor microenvironment to potentiate nano-immunotherapy in mouse breast cancer models," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Martina Conte & Sergio Casas-Tintò & Juan Soler, 2021. "Modeling invasion patterns in the glioblastoma battlefield," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-20, January.
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    4. Adrián Aguirre-Tamaral & Manuel Cambón & David Poyato & Juan Soler & Isabel Guerrero, 2022. "Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    5. Beatriz Blanco & Juan Campos & Juan Melchor & Juan Soler, 2021. "Modeling Interactions among Migration, Growth and Pressure in Tumor Dynamics," Mathematics, MDPI, vol. 9(12), pages 1-19, June.
    6. Mohamad H. Abedi & Michael S. Yao & David R. Mittelstein & Avinoam Bar-Zion & Margaret B. Swift & Audrey Lee-Gosselin & Pierina Barturen-Larrea & Marjorie T. Buss & Mikhail G. Shapiro, 2022. "Ultrasound-controllable engineered bacteria for cancer immunotherapy," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
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