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Blanco B, Gomez H, Melchor J, Palma R, Soler J, Rus G. Mechanotransduction in tumor dynamics modeling. Phys Life Rev 2023; 44:279-301. [PMID: 36841159 DOI: 10.1016/j.plrev.2023.01.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 01/30/2023] [Indexed: 02/17/2023]
Abstract
Mechanotherapy is a groundbreaking approach to impact carcinogenesis. Cells sense and respond to mechanical stimuli, translating 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.
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Rauch P, Serra C, Regli L, Gruber A, Aichholzer M, Stefanits H, Kadri PADS, Tosic L, Gmeiner M, Türe U, Krayenbühl N. Cortical and Subcortical Anatomy of the Orbitofrontal Cortex: A White Matter Microfiberdissection Study and Case Series. Oper Neurosurg (Hagerstown) 2021; 21:197-206. [PMID: 34245160 DOI: 10.1093/ons/opab243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 05/03/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The literature on white matter anatomy underlying the human orbitofrontal cortex (OFC) is scarce in spite of its relevance for glioma surgery. OBJECTIVE To describe the anatomy of the OFC and of the underlying white matter fiber anatomy, with a particular focus on the surgical structures relevant for a safe and efficient orbitofrontal glioma resection. Based on anatomical and radiological data, the secondary objective was to describe the growth pattern of OFC gliomas. METHODS The study was performed on 10 brain specimens prepared according to Klingler's protocol and dissected using the fiber microdissection technique modified according to U.T., under the microscope at high magnification. RESULTS A detailed stratigraphy of the OFC was performed, from the cortex up to the frontal horn of the lateral ventricle. The interposed neural structures are described together with relevant neighboring topographic areas and nuclei. Combining anatomical and radiological data, it appears that the anatomical boundaries delimiting and guiding the macroscopical growth of OFC gliomas are as follows: the corpus callosum superiorly, the external capsule laterally, the basal forebrain and lentiform nucleus posteriorly, and the gyrus rectus medially. Thus, OFC gliomas seem to grow ventriculopetally, avoiding the laterally located neocortex. CONCLUSION The findings in our study supplement available anatomical knowledge of the OFC, providing reliable landmarks for a precise topographical diagnosis of OFC lesions and for perioperative orientation. The relationships between deep anatomic structures and glioma formations described in this study are relevant for surgery in this highly interconnected area.
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Affiliation(s)
- Philip Rauch
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland.,Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Carlo Serra
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland
| | - Andreas Gruber
- Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Martin Aichholzer
- Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Harald Stefanits
- Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Paulo Abdo do Seixo Kadri
- Division of Neurosurgery, School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Lazar Tosic
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland
| | - Matthias Gmeiner
- Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Uğur Türe
- Department of Neurosurgery, Yeditepe University School of Medicine, Istanbul, Turkey
| | - Niklaus Krayenbühl
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland
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Doban AI, Lazar M. A switching control law approach for cancer immunotherapy of an evolutionary tumor growth model. Math Biosci 2016; 284:40-50. [PMID: 27665680 DOI: 10.1016/j.mbs.2016.09.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Revised: 09/10/2016] [Accepted: 09/15/2016] [Indexed: 11/16/2022]
Abstract
We propose a new approach for tumor immunotherapy which is based on a switching control strategy defined on domains of attraction of equilibria of interest. For this, we consider a recently derived model which captures the effects of the tumor cells on the immune system and viceversa, through predator-prey competition terms. Additionally, it incorporates the immune system's mechanism for producing hunting immune cells, which makes the model suitable for immunotherapy strategies analysis and design. For computing domains of attraction for the tumor nonlinear dynamics, and thus, for deriving immunotherapeutic strategies we employ rational Lyapunov functions. Finally, we apply the switching control strategy to destabilize an invasive tumor equilibrium and steer the system trajectories to tumor dormancy.
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Affiliation(s)
- Alina I Doban
- Department of Electrical Engineering, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, The Netherlands.
| | - Mircea Lazar
- Department of Electrical Engineering, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, The Netherlands.
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