Mechanotransduction in tumor dynamics modeling
Metadatos
Mostrar el registro completo del ítemAutor
Blanco Besteiro, Beatriz; Melchor Rodríguez, Juan Manuel; Palma Guerrero, Roberto; Soler Vizcaino, Juan Segundo; Rus Carlborg, GuillermoEditorial
Elsevier
Materia
Computational mechanics LIUS Mechanotherapy Mechanotransduction Tumor dynamics
Fecha
2023-02-15Referencia bibliográfica
B. Blanco... [et al.]. Mechanotransduction in tumor dynamics modeling, Physics of Life Reviews, Volume 44, 2023, Pages 279-301, ISSN 1571-0645, [https://doi.org/10.1016/j.plrev.2023.01.017]
Patrocinador
the MINECO-FEDER (Spain) research grant number EQC2018-004508-P, PID2019-106947RA-C22 RTI2018-098850-B-I00; Ministry of Science, Innovation and Universities of Spain, project numbers PID2020-115372RB-I00; Consejería de Innovación, Ciencia y Empresa, Junta de Andalucía P18-RT-1653 PY18-RT-2422 & B-FQM-580-UGR20; Consejería de Universidad, Investigación e Innovación from Junta de Andalucía, P21.00182; Ministry of Science, Innovation and Univer-sities of Spain, FPU2017/01415; Universidad de Granada / CBUAResumen
Mechanotherapy is a groundbreaking approach to impact carcinogenesis. Cells sense and respond to mechanical stimuli, trans-lating them into biochemical signals in a process known as mechanotransduction. The impact of stress on tumor growth has been studied in the last three decades, and many papers highlight the role of mechanics as a critical self-inducer of tumor fate at the in vitro and in vivo biological levels. Meanwhile, mathematical models attempt to determine laws to reproduce tumor dynamics.
This review discusses biological mechanotransduction mechanisms and mathematical-biomechanical models together. The aim is to provide a common framework for the different approaches that have emerged in the literature from the perspective of tumor avascularity and to provide insight into emerging mechanotherapies that have attracted interest in recent years.