A comparative study of tumour-on-chip models with patient-derived xenografts for predicting chemotherapy efficacy in colorectal cancer patients
2022
Louis Jun Ye Ong | Louis Jun Ye Ong | Louis Jun Ye Ong | Louis Jun Ye Ong | Shumei Chia | Stephen Qi Rong Wong | Stephen Qi Rong Wong | Stephen Qi Rong Wong | Xiaoqian Zhang | Huiwen Chua | Jia Min Loo | Wei Yong Chua | Clarinda Chua | Emile Tan | Hannes Hentze | Iain Beehuat Tan | Iain Beehuat Tan | Iain Beehuat Tan | Ramanuj DasGupta | Yi-Chin Toh | Yi-Chin Toh | Yi-Chin Toh | Yi-Chin Toh
Inter-patient and intra-tumour heterogeneity (ITH) have prompted the need for a more personalised approach to cancer therapy. Although patient-derived xenograft (PDX) models can generate drug response specific to patients, they are not sustainable in terms of cost and time and have limited scalability. Tumour Organ-on-Chip (OoC) models are in vitro alternatives that can recapitulate some aspects of the 3D tumour microenvironment and can be scaled up for drug screening. While many tumour OoC systems have been developed to date, there have been limited validation studies to ascertain whether drug responses obtained from tumour OoCs are comparable to those predicted from patient-derived xenograft (PDX) models. In this study, we established a multiplexed tumour OoC device, that consists of an 8 × 4 array (32-plex) of culture chamber coupled to a concentration gradient generator. The device enabled perfusion culture of primary PDX-derived tumour spheroids to obtain dose-dependent response of 5 distinct standard-of-care (SOC) chemotherapeutic drugs for 3 colorectal cancer (CRC) patients. The in vitro efficacies of the chemotherapeutic drugs were rank-ordered for individual patients and compared to the in vivo efficacy obtained from matched PDX models. We show that quantitative correlation analysis between the drug efficacies predicted via the microfluidic perfusion culture is predictive of response in animal PDX models. This is a first study showing a comparative framework to quantitatively correlate the drug response predictions made by a microfluidic tumour organ-on-chip (OoC) model with that of PDX animal models.
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