Abstract
Accurate prediction of treatment response for cancer patients is essential for overcoming intrinsic therapy resistance that results from genetic heterogeneity, varying tumor growth kinetics, and the complex tumor microenvironment. To achieve this goal, there is an urgent need for effective preclinical in vitro models that recapitulate the molecular–pathologic features and intricate ecology of native tumors for precision medicine. In this study, a vascularized organoid model (VOM) composed of patient-derived gastric cancer organoids (PDOs), perfusable endothelium, and stomach decellularized extracellular matrix is presented that enables the prediction of clinical response to VEGFR2-targeted therapy in gastric cancer patients. The results indicate that VOMs are dependent on the PDO molecular subtype. Moreover, VOMs accurately reproduce the clinically observed responses of patients treated with VEGFR2 inhibitor. Therefore, VOMs represent a valuable platform for providing clinical predictions for personalized testing and potential discovery of therapeutic drugs in various cancers that lack standardized regimens.
Original language | English |
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Article number | 2306676 |
Journal | Advanced Functional Materials |
Volume | 34 |
Issue number | 11 |
DOIs | |
Publication status | Published - 11 Mar 2024 |
Keywords
- 3D cell printing
- drug test platform
- gastric cancer
- targeted therapy
- tumor-on-a-chip