Vascularized Tumor-on-a-Chip Model as a Platform for Studying Tumor-Microenvironment-Drug Interaction
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Updated: Jun 27, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
Hyelim Kim1,2, Seung-Woo Cho1,3, Hong Nam Kim2,4,5,6
1Department of Biotechnology, Yonsei University, Seoul, Republic of Korea.
Abstract:
As cancer-targeting technologies advance, robust platforms for evaluating drug delivery systems (DDS) under pathomimetic conditions are critically needed. Traditional models inadequately mimic human tumor microenvironment (TME) complexity due to interspecies variance, structural simplification, and static perfusion. Vascularized tumor-on-a-chip systems address these gaps by integrating perfusable vasculature with tumor-stroma dynamics in microfluidic environments, enabling dynamic 3D evaluation of drug transport kinetics and therapeutic efficacy. These advances significantly enhance preclinical-to-clinical translatability, though challenges remain in achieving long-term vascular stability and multi-tissue integration under physiological flow conditions. Herein, we summarize recent progress in vascularized tumor-on-a-chip technologies for assessing DDS performance and TME interactions. Finally, opportunities for precision oncology and integrative organ-level modeling are highlighted, underscoring the transformative potential of these platforms in next-generation cancer research.
Insights
Vascularized tumor-on-a-chip systems offer advanced 3D evaluation of drug delivery systems (DDS) in realistic tumor microenvironments (TME). These microfluidic platforms improve cancer drug development by enhancing preclinical-to-clinical translatability.
Area of Science:
- Biomedical Engineering
- Cancer Research
- Drug Delivery Systems
Background:
- Traditional cancer models fail to replicate the complex human tumor microenvironment (TME).
- Existing models lack the necessary complexity for evaluating drug delivery systems (DDS) under pathomimetic conditions.
- Interspecies variance, simplified structures, and static perfusion limit the translatability of current preclinical models.
Purpose of the Study:
- To review recent advancements in vascularized tumor-on-a-chip technologies for assessing DDS performance.
- To highlight the capabilities of these systems in evaluating drug transport kinetics and therapeutic efficacy within a dynamic TME.
- To discuss the potential of these platforms for precision oncology and integrative organ-level modeling.
Main Methods:
- Integration of perfusable vasculature with tumor-stroma dynamics in microfluidic environments.
- Development of dynamic 3D models that mimic the human tumor microenvironment (TME).
- Utilizing microfluidic systems for the evaluation of drug delivery systems (DDS) performance.
Main Results:
- Vascularized tumor-on-a-chip systems enable dynamic 3D evaluation of drug transport and efficacy.
- These advanced models significantly enhance preclinical-to-clinical translatability for cancer therapies.
- Challenges persist in maintaining long-term vascular stability and multi-tissue integration under physiological flow.
Conclusions:
- Vascularized tumor-on-a-chip platforms represent a significant leap in evaluating cancer drug delivery systems.
- These technologies hold transformative potential for precision oncology and next-generation cancer research.
- Further development is needed to address challenges in vascular stability and multi-tissue integration for comprehensive modeling.
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