Effect of heterogeneous vasculature on interstitial transport within a solid tumor.
Novel strategies for cancer treatment involving macromolecular therapeutic agents have been recently developed and show promising results. Inadequate and heterogeneous uptake in tumor tissue has been shown to be a major obstacle for these compounds in clinical cancer therapy. Such distributions have been difficult to account for in predictive models. A three-dimensional computational model was developed to investigate the role of heterogeneous vasculature on interstitial transport within a murine sarcoma. The model accounts for extravasation and extracellular transport in a porous media. Spatial variation of fluid filtration rate per unit volume of tissue and vascular permeability were estimated from a dynamic contrast-enhanced (DCE)-MRI data set. Fluid filtration (L(p)S/V) and permeability (PS/V) maps were embedded in a model of tumor tissue and used to predict interstitial fluid pressure (IFP) and fluid flow. As in previous studies, pressure profiles were predicted to be elevated within the tumor. The model predicted boundary-dependent variation in outwardly directed interstitial velocity with lower velocities predicted near the skin boundary. Simulated tissue distribution of a macromolecular albumin tracer (MW approximately 60 kDa) was found to be heterogeneous with lower concentrations predicted in certain central regions. Simulated distributions of Gd-DTPA tracer (MW approximately 0.57 kDa) were less heterogeneous than albumin tracer. In sensitivity analysis, predicted tracer uptake was enhanced by increasing vascular leakiness. Increasing the interstitial hydraulic conductivity relative to the surrounding tissue reduced the overall drug uptake.
Zhao
Jianbing
J
Department of Mechanical and Aerospace Engineering, 212 MAE-A, University of Florida, Gainesville, FL 32611, USA.
Salmon
Howard
H
Sarntinoranont
Malisa
M
D000418:Albumins / Q000378:metabolism; D000818:Animals; D001692:Biological Transport; D002199:Capillary Permeability; D002463:Cell Membrane Permeability; D003198:Computer Simulation; D004058:Diffusion; D045604:Extracellular Fluid / Q000378:metabolism*; D005374:Filtration; D019786:Gadolinium DTPA / Q000378:metabolism; D007090:Image Interpretation, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods; D051379:Mice; D008954:Models, Biological; D009997:Osmotic Pressure; D015203:Reproducibility of Results; D012513:Sarcoma, Experimental / Q000098:blood supply* / Q000378:metabolism* / Q000473:pathology
D000418:Albumins; D019786:Gadolinium DTPA