Article (Scientific journals)
Thermodynamically constrained averaging theory for cancer growth modelling
Albrecht, Marco; Sciumè, Giuseppe; Lucarelli, Philippe et al.
2016In IFAC-PapersOnLine, 49 (26), p. 289-294
Peer Reviewed verified by ORBi
 

Files


Full Text
TCATMD.pdf
Publisher postprint (436.05 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Systems Biology
Abstract :
[en] In Systems Biology, network models are often used to describe intracellular mechanisms at the cellular level. The obtained results are difficult to translate into three-dimensional biological systems of higher order. The multiplicity and time dependency of cellular system boundaries, mechanical phenomena and spatial concentration gradients affect the intercellular relations and communication of biochemical networks. These environmental effects can be integrated with our promising cancer modelling environment, that is based on thermodynamically constrained averaging theory (TCAT). Especially, the TCAT parameter viscosity can be used as critical player in tumour evolution. Strong cell-cell contacts and a high degree of differentiation make cancer cells viscous and support compact tumour growth with high tumour cell density and accompanied displacement of the extracellular material. In contrast, dedifferentiation and losing of cell-cell contacts make cancer cells more fluid and lead to an infiltrating tumour growth behaviour without resistance due to the ECM. The fast expanding tumour front of the invasive type consumes oxygen and the limited oxygen availability behind the invasive front results automatically in a much smaller average tumour cell density in the tumour core. The proposed modelling technique is most suitable for tumour growth phenomena in stiff tissues like skin or bone with high content of extracellular matrix.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Biochemistry, biophysics & molecular biology
Author, co-author :
Albrecht, Marco ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
Sciumè, Giuseppe;  University of Bordeaux I2M-TREFLE, Talence Cedex, 33405 France
Lucarelli, Philippe ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
Sauter, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
External co-authors :
yes
Language :
English
Title :
Thermodynamically constrained averaging theory for cancer growth modelling
Publication date :
12 October 2016
Journal title :
IFAC-PapersOnLine
ISSN :
2405-8963
Publisher :
Elsevier, Magdeburg, Germany
Volume :
49
Issue :
26
Pages :
289-294
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Computational Sciences
European Projects :
H2020 - 642295 - MEL-PLEX - Exploiting MELanoma disease comPLEXity to address European research training needs in translational cancer systems biology and cancer systems medicine
FnR Project :
FNR7643621 - Predicting Individual Sensitivity Of Malignant Melanoma To Combination Therapies By Statistical And Network Modeling On Innovative 3d Organotypic Screening Models, 2013 (01/05/2015-30/04/2018) - Thomas Sauter
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 01 February 2017

Statistics


Number of views
159 (30 by Unilu)
Number of downloads
78 (4 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
0
OpenCitations
 
1
WoS citations
 
1

Bibliography


Similar publications



Contact ORBilu