Applications and evolution of 3D cancer-immune cell models.

Autor: Co IL; Institute of Biomedical Engineering, University of Toronto, 164 College St., Toronto, ON, M5S 3G9, Canada., Fomina A; Institute of Biomedical Engineering, University of Toronto, 164 College St., Toronto, ON, M5S 3G9, Canada., Nurse M; Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College St., Toronto, ON, M5S 3E5, Canada., McGuigan AP; Institute of Biomedical Engineering, University of Toronto, 164 College St., Toronto, ON, M5S 3G9, Canada; Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College St., Toronto, ON, M5S 3E5, Canada. Electronic address: alison.mcguigan@utoronto.ca.
Jazyk: angličtina
Zdroj: Trends in biotechnology [Trends Biotechnol] 2024 Jul 17. Date of Electronic Publication: 2024 Jul 17.
DOI: 10.1016/j.tibtech.2024.06.008
Abstrakt: Understanding the highly complex tumor-immune landscape is an important goal for developing novel immune therapies for solid cancers. To this end, 3D cancer-immune models have emerged as patient-relevant in vitro tools for modeling the tumor-immune landscape and the cellular interactions within it. In this review, we provide an overview of the components and applications of 3D cancer-immune models and discuss their evolution from 2015 to 2023. Specifically, we observe trends in primary cell-sourced, T cell-based complex models used for therapy evaluation and biological discovery. Finally, we describe the challenges of implementing 3D cancer-immune models and the opportunities for maximizing their potential for deciphering the complex tumor-immune microenvironment and identifying novel, clinically relevant drug targets.
Competing Interests: Declaration of interests The authors have no interests to declare.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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