(119c) Chemo-Therapeutic Screening on NOVEL Scaffold Assisted Dynamic in Vitro multicellular Models of Pancreatic Cancer
AIChE Annual Meeting
2022
2022 Annual Meeting
Food, Pharmaceutical & Bioengineering Division
Cell and Tissue Engineering: Engineering 3D Tissues to Model Disease and Development
Monday, November 14, 2022 - 1:06pm to 1:24pm
METHODS: PU scaffolds were prepared using the Thermal Induced Phase Separation (TIPS) method. Absorption based surface modification of the scaffolds enabled coating with ECM proteins (collagen and fibronectin) for enhancement of ECM mimicry4. A zonal cellular and biochemical structure was achieved with (i) endothelial and stellate cells seeded on the outer side of the polymeric scaffold which were coated with collagen I and (ii) pancreatic cancer cells seeded in the inner scaffold coated which were coared with fibronectin. Further to the zonal architecture, a single scaffold based simplistic multicellular model was designed and compared to the zonal model8. More specifically, for the simplistic model, a cocktail of the three cell types ( cancer cells, stellate cells and endothelial cells) were added to a singel 5x5x5 mm^3 scaffold and cultured for the relevant time period. For the chemotherapy assessment, 50µM Gemcitabine was applied to both models after 4 weeks of culture, both in static and dynamic (perfusion bioreactor assisted) conditions, followed by 7 days post-treatment monitoring. Various in situ assays for monitoring the cell viability, spatial organisation, ECM production and q-PCR analysis were carried out at specific time points throughout the culture period.
RESULTS & CONCLUSION: We report here the effect of cellular and biochemical factors of our 3D models on the chemotherapy response of pancreatic cancer cells in vitro. Effects of therapeutic agents on cell viability, apoptosis and ECM secretion in our zonal and single scaffold were observed and compared. The importance of a dynamic culture system was also highlighted in this work. Furthermore, the spatial biochemical and cellular configurations of the model affect the response to chemotherapy. Our developed model is a low cost high throughput tool that can be used for personalized studies and treatment screening of pancreatic cancer.
ACKNOWLEDGMENT: The project was supported financially by the 3DBioNet (UKRI). E.V is grateful to the Royal Academy of Engineering for an Industrial Fellowship and to the Medical Research Council UK for a New Investigator Research Grant (MR/V028553/1), which also financially supports P.G.
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