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Updated: Feb 6, 2026

Generation of Human Brain Organoids for Mitochondrial Disease Modeling
Published on: June 21, 2021
Organoid-Immune Co-Cultures: A Next-Generation approach to disease modeling
Fatemeh Najafi1, Negin Alidoost Zoghi2, Hanie Khalili3
1Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Organoids co-cultured with immune cells offer advanced 3D models for cancer research, improving tumor microenvironment studies and immunotherapy assessment. These models enhance understanding of immune interactions and drug responses, paving the way for new treatments.
Area of Science:
- Cancer Research
- Immunology
- 3D Organoid Models
Background:
- Organoids offer a more accurate representation of the tumor microenvironment (TME) than traditional models.
- They enable detailed study of cancer cell and immune system interactions.
Purpose of the Study:
- To review the advancements and applications of organoid co-culture systems with immune cells in cancer research and immunology.
- To highlight the potential of these models in studying immune responses, immune evasion, and immunotherapy effectiveness.
Main Methods:
- Co-culturing organoids derived from primary tumors or stem cells with various immune cells (T cells, TILs, PBMCs, NK cells, etc.).
- Utilizing organoids from intestinal, pancreatic, brain, liver, and cervical tissues for specific disease modeling.
- Reviewing studies on immunotherapy assessment, drug evaluation, and vaccine development using organoid platforms.
Main Results:
- Organoid initiation success rates average 36.8% across 13 tumor types.
- Organoid co-cultures facilitate the study of immune responses, immune evasion mechanisms, and TME influence on immune cells.
- Examples include modeling graft-versus-host disease, investigating pancreatic cancer immunosuppression, evaluating engineered T cells for neuroblastoma, and assessing drug responses in colon cancer.
Conclusions:
- Organoid co-culture systems represent a significant advancement for in vitro cancer research and immunology.
- Despite challenges in generation efficiency and TME mimicry, ongoing innovations promise improved functionality and clinical relevance.
- These models are crucial for understanding disease mechanisms, evaluating immunotherapies, and advancing preclinical drug and vaccine development.
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