Modeling low-intensity ultrasound mechanotherapy impact on growing cancer stem cells Blanco Besteiro, Beatriz Palma Guerrero, Roberto Hurtado Estévez, Manuel Jiménez González, Gema Griñan-Lison, Carmen Melchor Rodríguez, Juan Manuel Marchal Corrales, Juan Antonio Gomez, Hector Rus Carlborg, Guillermo Soler Vizcaino, Juan Segundo Cancer stem cells Computational mechanics Low-intensity ultrasound 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. 2024-09-25T10:21:02Z 2024-09-25T10:21:02Z 2024-09-05 journal article Blanco, B. et. al. 228 (2025) 87–102. [https://doi.org/10.1016/j.matcom.2024.08.030] https://hdl.handle.net/10481/95072 10.1016/j.matcom.2024.08.030 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier