title: The anomalous diffusion of a tumor invading with different surrounding tissues.
abstract: We simulated the invasion of a proliferating, diffusing tumor within different surrounding tissue conditions using a hybrid mathematical model. The in silico invasion of a tumor was addressed systematically for the first time within the framework of a generalized diffusion theory. Our results reveal that a tumor not only migrates using typical Fickian diffusion, but also migrates more generally using subdiffusion, superdiffusion, and even ballistic diffusion, with increasing mobility of the tumor cell when haptotaxis and chemotaxis toward the host tissue surrounding the proliferative tumor are involved. Five functional terms were included in the hybrid model and their effects on a tumor's invasion were investigated quantitatively: haptotaxis toward the extracellular matrix tissue that is degraded by matrix metalloproteinases; chemotaxis toward nutrients; cell-cell adhesion; the proliferation of the tumor; and the immune response toward the tumor. Haptotaxis and chemotaxis, which are initiated by extracellular matrix and nutrient supply (i.e., glucose) respectively, as well as cell-cell adhesions all drastically affect a tumor's diffusion mode when a tumor invades its surrounding host tissue and proliferates. We verified the in silico invasive behavior of a tumor by analyzing experimental data gathered from the in vitro culturing of different tumor cells and clinical imaging observations that used the same approach as was used to process the simulation data. The different migration modes of a tumor suggested by the simulations generally conform to the results observed in cell cultures and in clinical imaging. Our study not only discloses some migration modes of a tumor that proliferates and invades under different host tissues conditions, but also provides a heuristic method to characterize the invasion of a tumor in clinical medical imaging analysis.
authors.affiliation: School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China.
authors.forename: Chongming
authors.initials: C
authors.lastname: Jiang
authors.affiliation: State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
authors.forename: Chunyan
authors.initials: C
authors.lastname: Cui
authors.affiliation: State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.affiliation: School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China; Institut Franco-Chinois de L'Énergie Nucléaire, Sun Yat-sen University, Zhuhai, China.
authors.forename: Yuanzhi
authors.initials: Y
authors.lastname: Shao
mesh_terms: D045744:Cell Line, Tumor; D002633:Chemotaxis; D003198:Computer Simulation; D004058:Diffusion; D005109:Extracellular Matrix / Q000378:metabolism; D017709:Fractals; D006801:Humans; D021621:Imaging, Three-Dimensional; D008954:Models, Biological; D009361:Neoplasm Invasiveness / Q000473:pathology*; D009369:Neoplasms / Q000473:pathology*; D013997:Time Factors; D047368:Tumor Burden; D059016:Tumor Microenvironment