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Updated: Jan 16, 2026

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
Published on: April 30, 2021
Harnessing Next-Generation 3D Cancer Models to Elucidate Tumor-Microbiome Crosstalk.
Marina Green Buzhor1, Giuseppe Longobardi1, Or Kandli1
1Department of Physiology and Pharmacology, Gray School of Medical Sciences, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, 6997801, Israel.
Advanced 3D models like organoids and organ-on-a-chip platforms are revolutionizing the study of the tumor microenvironment (TME) and its interaction with the microbiome in cancer research. These models offer new insights into cancer progression and therapeutic strategies.
Area of Science:
- Oncology
- Microbiology
- Bioengineering
Background:
- The tumor microenvironment (TME) is a complex ecosystem where the microbiome significantly impacts cancer progression, immune response, and treatment efficacy across various cancer types.
- Bacterial communities and their metabolites influence tumor behavior, inflammation, and drug resistance, necessitating advanced research models.
Purpose of the Study:
- To review recent advancements in 3D in vitro models for studying host-microbiome-tumor interactions in cancer.
- To highlight the capabilities of these models in mimicking physiological conditions and facilitating the investigation of complex biological crosstalk.
Main Methods:
- Utilizing advanced 3D in vitro models such as spheroids, organoids, organ-on-a-chip platforms, and 3D-bioprinted constructs.
- Incorporating live bacteria, metabolites, and immune components into these models to simulate the tumor-microbiome axis.
- Exploring organ-specific applications, hydrogel-based extracellular matrix mimics, and biofabrication techniques.
Main Results:
- 3D models provide spatial organization and co-culture capabilities crucial for studying tumor-microbiome cross-talk.
- These platforms enable investigation into how the microbiome influences cancer progression, immune evasion, and therapeutic resistance.
- Recent developments focus on mimicking tissue architecture and incorporating biological components for greater physiological relevance.
Conclusions:
- Evolving 3D platforms are powerful tools for microbiome-informed cancer modeling, offering significant promise for advancing therapeutic screening.
- Addressing challenges like microbiome viability and immune complexity in these models is crucial for future progress.
- Interdisciplinary collaboration between bioengineering, microbiology, and oncology is essential for developing and utilizing these advanced models effectively in precision oncology.
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