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Published on: August 15, 2019
Experimental models in immuno-oncology and their translational impact
Shayan Boozarjomehri-Amnieh1,2, Shaghayegh Mohammadioun1, Sina Mahmoudian1
1Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Experimental models are crucial for cancer research, but ethical concerns and limitations are driving interest in alternatives like organoids. This review examines the evolving role of animal models versus new platforms in immuno-oncology.
Area of Science:
- Oncology
- Immunology
- Translational Medicine
Background:
- In vivo studies, particularly murine models, are vital for advancing oncology research and therapeutic innovation.
- Similarities between animal and human immune systems aid in understanding cancer development and therapy.
- Preclinical research using animal models is essential for developing immunomodulatory drugs and novel treatments.
Purpose of the Study:
- To review current evidence on immuno-oncology experimental models in various cancer types.
- To examine the changing role of these models in cancer research.
- To discuss the justification for continued use of animal models alongside emerging alternative platforms.
Main Methods:
- Literature review of experimental evidence on immuno-oncology models.
- Analysis of the evolving landscape of preclinical cancer research platforms.
- Discussion of ethical considerations and biological limitations of animal models.
Main Results:
- Animal models, especially murine systems, have significantly contributed to immuno-oncology.
- Ethical concerns and questions about human disease replication are challenging the use of animal models.
- Alternative platforms like organoids, organ-on-chip, and advanced cell cultures are gaining traction.
Conclusions:
- The utility of animal models in experimental theranostics is under debate.
- Emerging technologies may be rendering traditional animal models less satisfactory.
- The continued application of animal models may still be justified in specific circumstances, necessitating careful consideration.
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