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• W4379511381 abstract "Abstract Novel tumor-on-a-chip approaches are increasingly used to investigate tumor progression and potential treatment options. To improve the effect of any cancer treatment it is important to have an in depth understanding of drug diffusion, penetration through the tumor extracellular matrix and cellular uptake. In this study, we have developed a miniaturized chip where drug diffusion and cellular uptake in different hydrogel environments can be quantified at high resolution using live imaging. Diffusion of doxorubicin was reduced in a biomimetic hydrogel mimicking tissue properties of cirrhotic liver and early stage hepatocellular carcinoma (373 ± 108 µm 2 /s) as compared to an agarose gel (501 ± 77 µm 2 /s, p = 0.019). The diffusion was further lowered to 256 ± 30 µm 2 /s ( p = 0.028) by preparing the biomimetic gel in cell media instead of phosphate buffered saline. The addition of liver tumor cells (Huh7 or HepG2) to the gel, at two different densities, did not significantly influence drug diffusion. Clinically relevant and quantifiable doxorubicin concentration gradients (1–20 µM) were established in the chip within one hour. Intracellular increases in doxorubicin fluorescence correlated with decreasing fluorescence of the DNA-binding stain Hoechst 33342, and based on the quantified intracellular uptake of doxorubicin an apparent cell permeability (9.00 ± 0.74 x 10 − 4 µm/s for HepG2) was determined. Finally, the data derived from the in vitro model were applied to a spatio-temporal tissue concentration model to evaluate the potential clinical impact of a cirrhotic extracellular matrix on doxorubicin diffusion and tumor cell uptake." @default.
• W4379511381 created "2023-06-07" @default.
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• W4379511381 date "2023-06-06" @default.
• W4379511381 modified "2023-10-18" @default.
• W4379511381 title "Quantitative imaging of doxorubicin diffusion and cellular uptake in biomimetic gels with human liver tumor cells" @default.
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• W4379511381 doi "https://doi.org/10.21203/rs.3.rs-2991735/v1" @default.
• W4379511381 hasPublicationYear "2023" @default.
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