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Updated: Apr 26, 2026
Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors
Published on: August 18, 2016
Multichannel imaging to quantify four classes of pharmacokinetic distribution in tumors
Sumit Bhatnagar1, Emily Deschenes, Jianshan Liao
1Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, 48109.
Abstract:
Low and heterogeneous delivery of drugs and imaging agents to tumors results in decreased efficacy and poor imaging results. Systemic delivery involves a complex interplay of drug properties and physiological factors, and heterogeneity in the tumor microenvironment makes predicting and overcoming these limitations exceptionally difficult. Theoretical models have indicated that there are four different classes of pharmacokinetic behavior in tissue, depending on the fundamental steps in distribution. In order to study these limiting behaviors, we used multichannel fluorescence microscopy and stitching of high-resolution images to examine the distribution of four agents in the same tumor microenvironment. A validated generic partial differential equation model with a graphical user interface was used to select fluorescent agents exhibiting these four classes of behavior, and the imaging results agreed with predictions. BODIPY-FL exhibited higher concentrations in tissue with high blood flow, cetuximab gave perivascular distribution limited by permeability, high plasma protein and target binding resulted in diffusion-limited distribution for Hoechst 33342, and Integrisense 680 was limited by the number of binding sites in the tissue. Together, the probes and simulations can be used to investigate distribution in other tumor models, predict tumor drug distribution profiles, and design and interpret in vivo experiments.
Insights
Researchers studied drug delivery in tumors using advanced imaging and modeling. They identified four distinct pharmacokinetic behaviors, improving predictions for drug distribution and experimental design in cancer research.
Area of Science:
- Pharmacology
- Biomedical Engineering
- Cancer Research
Background:
- Heterogeneous drug and imaging agent delivery to tumors limits therapeutic efficacy and diagnostic accuracy.
- Tumor microenvironment complexity and physiological factors complicate systemic drug delivery predictions.
- Theoretical models identify four fundamental classes of pharmacokinetic behavior in tissues.
Purpose of the Study:
- To investigate and characterize the four distinct pharmacokinetic behaviors of agents within the tumor microenvironment.
- To validate theoretical models of drug distribution using experimental imaging data.
- To develop a framework for predicting and optimizing drug delivery in tumors.
Main Methods:
- Multichannel fluorescence microscopy and high-resolution image stitching were employed to visualize agent distribution.
- Four fluorescent agents were selected to represent the four predicted pharmacokinetic behaviors.
- A validated partial differential equation model with a graphical user interface was used for analysis and prediction.
Main Results:
- BODIPY-FL showed higher concentrations in high blood flow areas.
- Cetuximab distribution was perivascular, limited by permeability.
- Hoechst 33342 exhibited diffusion-limited distribution due to high plasma protein and target binding.
- Integrisense 680 distribution was limited by the number of available binding sites.
Conclusions:
- The study successfully identified and characterized four distinct pharmacokinetic behaviors in tumors.
- The combination of fluorescent probes and computational modeling aids in understanding and predicting drug distribution.
- This approach can enhance the design and interpretation of in vivo experiments for cancer therapeutics and diagnostics.
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