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Oncology and mechanics: Landmark studies and promising clinical applications

Article dans une revue avec comité de lecture
Author
ccURCUN, Stéphane
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
LORENZO, Guillermo
74980 University of Texas at Austin [Austin]
ccBAROLI, Davide
301897 Università della Svizzera italiana = University of Italian Switzerland [USI]
303510 RWTH Aachen University = Rheinisch-Westfälische Technische Hochschule Aachen [RWTH Aachen]
ccROHAN, Pierre-Yves
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccSCIUME, Giuseppe
259761 Université de Bordeaux [UB]
ccSKALLI, Wafa
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccLUBRANO, Vincent
536085 Service Neurochirurgie [CHU Toulouse]
BORDAS, Stéphane Pierre Alain

URI
http://hdl.handle.net/10985/25521
DOI
10.1016/bs.aams.2022.05.003
Date
2022-06
Journal
Advances in Applied Mechanics

Abstract

Clinical management of cancer has continuously evolved for several decades. Biochemical, molecular, and genomics approaches have brought and still bring numerous insights into cancerous diseases. It is now accepted that some phenomena, allowed by favorable biological conditions, emerge via mechanical signaling at the cellular scale and via mechanical forces at the macroscale. Mechanical phenomena in cancer have been studied in-depth over the last decades, and their clinical applications are starting to be understood. If numerous models and experimental setups have been proposed, only a few have led to clinical applications. The objective of this contribution is to review a large scope of mechanical findings which have consequences on the clinical management of cancer. This review is mainly addressed to doctoral candidates in mechanics and applied mathematics who are faced with the challenge of the mechanics-based modeling of cancer with the aim of clinical applications. We show that the collaboration of the biological and mechanical approaches has led to promising advances in terms of modeling, experimental design, and therapeutic targets. Additionally, a specific focus is placed on imaging-informed mechanics-based models, which we believe can further the development of new therapeutic targets and the advent of personalized medicine. We study in detail several successful workflows on patient-specific targeted therapies based on mechanistic modeling.

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