TY - JOUR
T1 - Pattern formation of skin cancers
T2 - Effects of cancer proliferation and hydrodynamic interactions
AU - Hoshino, Takuma
AU - Liu, Ming Wei
AU - Wu, Kuo An
AU - Chen, Hsuan Yi
AU - Tsuruyama, Tatsuaki
AU - Komura, Shigeyuki
N1 - Publisher Copyright:
© 2019 American Physical Society.
PY - 2019/3/21
Y1 - 2019/3/21
N2 - We study pattern formation of skin cancers by means of numerical simulation of a binary system consisting of cancer and healthy cells. We extend the conventional model H for macrophase separations by considering a logistic growth of cancer cells and also a mechanical friction between dermis and epidermis. Importantly, our model exhibits a microphase separation due to the proliferation of cancer cells. By numerically solving the time evolution equations of the cancer composition and its velocity, we show that the phase separation kinetics strongly depends on the cell proliferation rate as well as on the strength of hydrodynamic interactions. A steady-state diagram of cancer patterns is established in terms of these two dynamical parameters and some of the patterns correspond to clinically observed cancer patterns. Furthermore, we examine in detail the time evolution of the average composition of cancer cells and the characteristic length of the microstructures. Our results demonstrate that different sequence of cancer patterns can be obtained by changing the proliferation rate and/or hydrodynamic interactions.
AB - We study pattern formation of skin cancers by means of numerical simulation of a binary system consisting of cancer and healthy cells. We extend the conventional model H for macrophase separations by considering a logistic growth of cancer cells and also a mechanical friction between dermis and epidermis. Importantly, our model exhibits a microphase separation due to the proliferation of cancer cells. By numerically solving the time evolution equations of the cancer composition and its velocity, we show that the phase separation kinetics strongly depends on the cell proliferation rate as well as on the strength of hydrodynamic interactions. A steady-state diagram of cancer patterns is established in terms of these two dynamical parameters and some of the patterns correspond to clinically observed cancer patterns. Furthermore, we examine in detail the time evolution of the average composition of cancer cells and the characteristic length of the microstructures. Our results demonstrate that different sequence of cancer patterns can be obtained by changing the proliferation rate and/or hydrodynamic interactions.
UR - http://www.scopus.com/inward/record.url?scp=85063292753&partnerID=8YFLogxK
U2 - 10.1103/PhysRevE.99.032416
DO - 10.1103/PhysRevE.99.032416
M3 - 期刊論文
C2 - 30999422
AN - SCOPUS:85063292753
SN - 2470-0045
VL - 99
JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
IS - 3
M1 - 032416
ER -