Constructing Tumor Organoid-like Tissue for Reliable Drug Screening Using Liver-Decellularized Extracellular Matrix...

The interplay between cells and their microenvironments plays a pivotal role in in vitro drug screening. Creating an environment that faithfully mimics the conditions of tumor cells within organ tissues is essential for enhancing the relevance of drug screening to real-world clinical scenarios. In our research, we utilized chemical decellularization techniques to engineer liver-decellularized extracellular matrix (L-dECM) scaffolds. These scaffolds were subsequently recellularized with HepG2 cells to establish a tumor organoid-like tissue model. Compared to the conventional tissue culture plate (TCP) culture, the tumor organoid-like tissue model demonstrated a remarkable enhancement in HepG2 cell growth, leading to increased levels of albumin secretion and urea synthesis. Additionally, our results revealed that, within a 3-day time frame, the cytotoxicity of doxorubicin (DOX) against cells cultured in the tumor organoid-like tissue model was notably reduced when compared to cells grown on TCPs. In contrast, there was no significant difference in the cytotoxicity of two compounds, triptolide and honokiol, both derived from traditional Chinese medicine, between TCP culture and the tumor organoid-like tissue culture, indicating a lack of substantial drug resistance. Western blotting assays further confirmed our findings by revealing elevated expressions of E-cadherin and vimentin proteins, which are closely associated with the epithelial-mesenchymal transition (EMT). These results underscored that the tumor organoid-like tissue model effectively promoted the EMT process in HepG2 cells. Moreover, we identified that triptolide and honokiol possess the capacity to reverse the EMT process in HepG2 cells, whereas DOX did not exhibit a significant effect. In light of these findings, the tumor organoid-like tissue model stands as a valuable predictive platform for screening antitumor agents and investigating the dynamics of the EMT process in tumor cells.