LIDo banner

Apply now

Find out more about the different routes to entry and our eligibility criteria

3D Tumour-on-Chip Model to Predict the Efficiency of Anti-Cancer Drug Delivery from the Microvasculature

Research image

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.

Disciplines and Techniques
Project supervisor/s
Dr. Ali Salehi-Reyhani
Ali’s research focuses on the understanding and diagnosis of disease, with a specific interest in cancer.
King's College London
Dr. Martin Ulmschneider
Martin's research has developed a range of experimentally validated computational tools that allow atomic detail characterisation of the interactions of peptides with biological membranes, capturing the mechanisms of adsorption.
King's College University
Predicting drug delivery efficiency into tumor tissues through molecular simulation of transport in complex vascular networks
Troendle, E. P., Khan, A., Searson, P. C. & Ulmschneider, M. B
J. Control. Release 292, 221–234
A first step towards practical single cell proteomics: a microfluidic antibody capture chip with TIRF detection
Salehi-Reyhani, A. et al
Lab. Chip. 11, 1256–1261
Evaluating single molecule detection methods for microarrays with high dynamic range for quantitative single cell analysis
Salehi-Reyhani, A
Sci. Rep. 7, 17957
“Bi-directional cell-pericellular matrix interactions direct stem cell fate
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
Nature Communications. 9:4049. doi: 10.1038/s41467-018-06183-4
Exploiting Advanced Hydrogel Technologies to Address Key Challenges in Regenerative Medicine
Foyt DA‡, Norman MDA‡, Yu TTL‡, Gentleman E
Advanced Healthcare Materials. 1700939. doi: 10.1002/adhm.201700939. ‡equal contribution