Reference : Oncology and mechanics: landmark studies and promising clinical applications

	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
	Focus Areas :	Physics and Materials Science
	To cite this reference:	http://hdl.handle.net/10993/54408

Title :	Oncology and mechanics: landmark studies and promising clinical applications
Language :	English
Author, co-author :	Urcun, Stephane [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Lorenzo, Guillermo [University of Texas at Austin, US > Oden Institute for Computational Engineering and Sciences]
	Baroli, Davide [Università della Svizzera Italiana, CH > Euler Institute]
	Rohan, Pierre-Yves [Arts et Metiers Institute of Technology, Paris, FR > IBHGC]
	Sciumè, Giuseppe [University of Bordeaux, FR > I2M Bordeaux]
	Skalli, Wafa [Arts et Metiers Institute of Technology, Paris, FR > IBHGC]
	Lubrano, Vincent [Hôpital Pierre-Paul Riquet, Toulouse]
	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	30-Jun-2022
Journal title :	Advances in Applied Mechanics
Publisher :	Elsevier
Volume :	55
Pages :	513-571
Peer reviewed :	Yes
ISSN :	0065-2156
Country :	United States
Keywords :	[en] physical oncology ; image-informed model ; mechano-biology
Abstract :	[en] 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 propose 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 brought 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.
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/54408
DOI :	10.1016/bs.aams.2022.05.003
Other URL :	https://doi.org/10.1016/bs.aams.2022.05.003

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