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

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

Abstract

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.


References

1 Troendle, E. P., Khan, A., Searson, P. C. & Ulmschneider, M. B. Predicting drug delivery efficiency into tumor tissues through molecular simulation of transport in complex vascular networks. J. Control. Release 292, 221–234 (2018).
2 Salehi-Reyhani, A. et al. A first step towards practical single cell proteomics: a microfluidic antibody capture chip with TIRF detection. Lab. Chip. 11, 1256–1261 (2011).
3 Salehi-Reyhani, A. Evaluating single molecule detection methods for microarrays with high dynamic range for quantitative single cell analysis. Sci. Rep. 7, 17957 (2017)
4 Ferreira SA, Motwani MS, Faull PA, Seymour AJ, Yu TTL, Enayati M, Taheem DK, Kania EM, Oommen OP, Ahmed T, Loaiza S, Parzych K, Dazzi F, Auner HW, Varghese OP, Festy F, Grigoriadis AE, Snijders AP, Bozec L, Gentleman E (2018) “Bi-directional cell-pericellular matrix interactions direct stem cell fate.” Nature Communications. 9:4049. doi: 10.1038/s41467-018-06183-4
5 Foyt DA‡, Norman MDA‡, Yu TTL‡, Gentleman E (2018) “Exploiting Advanced Hydrogel Technologies to Address Key Challenges in Regenerative Medicine.” Advanced Healthcare Materials. 1700939. doi: 10.1002/adhm.201700939. ‡equal contribution


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