3D Tumour-on-Chip model to predict the efficiency of anti-cancer drug delivery from the microvasculature

Ali Salehi-Reyhani (primary)
Martin Ulmschneider (secondary)


Efficient delivery of anticancer drugs into tumor tissues at maximally effective and minimally toxic concentrations is vital for therapeutic success. A tumour’s vasculature plays a pivotal role but, at present, only computational methods, or extremely simple physical 2D models, exist to predict the spatial and temporal distribution of drugs into a target tissue. Despite their simplicity, they are already challenging dogma. We propose a 3D tumour on chip model to comprehensively emulate a tumour’s microvasculature and better understand the effects such topologies have for the successful delivery of anticancer therapeutics. This work paves the way for building and applying functional 3D in-vitro human tumour models for oncology research, immunotherapy studies and drug screening.


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Genes, development and STEM* approaches to biology
Area of Biology
Cell Biology
Techniques & Approaches
ChemistryEngineeringImage ProcessingMicroscopy / ElectrophysiologySimulation / Modelling