Predicting anti-tumor efficacy of multi-functional nanomedicine on decellularized hepatocellular carcinoma-on-a-chip.

Traditional hepatocellular carcinoma-chip models lack the cell structure and microenvironments necessary for high pathophysiological correlation, leading to low accuracy in predicting drug efficacy and high production costs. This study proposed a decellularized hepatocellular carcinoma-on-a-chip model to screen anti-tumor nanomedicine. In this model, human hepatocellular carcinoma (HepG2) and human normal liver cells (L02) were co-cultured on a three-dimensional (3D) decellularized extracellular matrix (dECM) in vitro to mimic the tumor microenvironments of human hepatocellular carcinoma in vivo. Additionally, a smart nanomedicine was developed by encapsulating doxorubicin (DOX) into the ferric oxide (FeO)-incorporated liposome nanovesicle (NLV/Fe+DOX). NLV/Fe+DOX selectively killed 78.59% ± 6.78% of HepG2 cells through targeted delivery and synergistic chemo-chemodynamic-photothermal therapies, while the viability of surrounding L02 cells on the chip model retained high, at over 90.0%. The drug efficacy tested using this unique chip model correlated well with the results of cellular and animal experiments. In summary, our proposed hepatocellular carcinoma-chip model is a low-cost yet accurate drug-testing platform with significant potential for drug screening.