We present a theoretical framework based on an extension of dynamical density functional theory (DDFT) for describing the structure and dynamics of cells in living tissues and tumours. DDFT is a microscopic statistical mechanical theory for the time evolution of the density distribution of interacting many-particle systems. The theory accounts for cell pair-interactions, different cell types, phenotypes and cell birth and death processes (including cell division), in order to provide a biophysically consistent description of processes bridging across the scales, including describing the tissue structure down to the level of the individual cells. Analysis of the model is presented for a single species and a two-species cases, the latter aimed at describing competition between tumour and healthy cells. In suitable parameter regimes, model results are consistent with biological observations. Of particular note, divergent tumour growth behaviour, mirroring metastatic and benign growth characteristics, are shown to be dependent on the cell pair-interaction parameters.
Funding
Hayder Al-Saedi acknowledges the Iraqi Ministry of Higher Education and Scientific Research for financial support.
History
School
Science
Department
Mathematical Sciences
Published in
Physical Review E
Citation
AL-SAEDI, H.M., ARCHER, A.J. and WARD, J.P., 2018. Dynamical density functional theory based modelling of tissue dynamics: application to tumour growth. Physical Review E, 98 (2), 022407.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2018-06-26
Publication date
2018-08-20
Notes
This paper was published in the journal Physical Review E and the definitive published version is available at https://doi.org/10.1103/PhysRevE.98.022407.