Bioprinted Organoids Platform with Tumor Vasculature for Implementing Precision Personalized Medicine Targeted Towards Gastric Cancer

Author:

Kim Jisoo1ORCID,Kim Jungmin2,Gao Ge3ORCID,Choi Yoo‐mi4,Kim Jaewook5,Cho Dong‐Woo15ORCID,Cheong Jae‐Ho26789,Jang Jinah145ORCID

Affiliation:

1. School of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology (POSTECH) Pohang 37673 South Korea

2. Department of Surgery Yonsei University College of Medicine Seoul 03722 South Korea

3. School of Medical Technology Beijing Institute of Technology Beijing China

4. Department of Creative IT Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 South Korea

5. Department of Mechanical Engineering Pohang University of Science and Technology (POSTECH) Pohang 37673 South Korea

6. Department of Biochemistry and Molecular Biology Yonsei University College of Medicine Seoul 03722 South Korea

7. Graduate School of Medical Science Brain Korea 21 Project Yonsei University College of Medicine Seoul 03722 South Korea

8. Chronic Intractable Disease for Systems Medicine Research Center Yonsei University College of Medicine Seoul 03722 South Korea

9. Department of Biomedical Systems Informatics Yonsei University College of Medicine Seoul 03722 South Korea

Abstract

AbstractAccurate 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.

Funder

Ministry of Science, ICT and Future Planning

Ministry of Science and ICT, South Korea

National Cancer Center

Ministry of Trade, Industry and Energy

Ministry of Health and Welfare

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

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