Oncology and mechanics: landmark studies and promising clinical applications

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...

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Veröffentlicht in:arXiv.org 2022-11
Hauptverfasser: Urcun, Stéphane, Lorenzo, Guillermo, Baroli, Davide, Pierre-Yves Rohan, Sciumè, Giuseppe, Skalli, Wafa, Lubrano, Vincent, Bordas, Stéphane P A
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creator Urcun, Stéphane
Lorenzo, Guillermo
Baroli, Davide
Pierre-Yves Rohan
Sciumè, Giuseppe
Skalli, Wafa
Lubrano, Vincent
Bordas, Stéphane P A
description 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.
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subjects Applications of mathematics
Cancer
Computer Science - Computational Engineering, Finance, and Science
Design of experiments
Mechanics
Mechanics (physics)
Modelling
Quantitative Biology - Cell Behavior
Quantitative Biology - Tissues and Organs
title Oncology and mechanics: landmark studies and promising clinical applications
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