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Cited by 402

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Organoid Models of Tumor Immunology

Open access
Yuki, Kanako, Cheng, Ning, Nakano, Michitaka, Kuo, Calvin J.·2020·Trends in Immunology

Abstract

Cellular interactions in the tumor microenvironment (TME) significantly govern cancer progression and drug response. The efficacy of clinical immunotherapies has fostered an exponential interest in the tumor immune microenvironment, which in turn has engendered a pressing need for robust experimental systems modeling patient-specific tumor-immune interactions. Traditional 2D in vitro tumor immunotherapy models have reconstituted immortalized cancer cell lines with immune components, often from peripheral blood. However, newly developed 3D in vitro organoid culture methods now allow the routine culture of primary human tumor biopsies and increasingly incorporate immune components. Here, we present a viewpoint on recent advances, and propose translational applications of tumor organoids for immuno-oncology research, immunotherapy modeling, and precision medicine.

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Metadata

Authors
Yuki, K., Cheng, N., Nakano, M., & Kuo, C. J.
Venue
Trends in Immunology
Publisher
Elsevier BV
Published
2020-08
Volume
41
Issue
8
Pages
652-664
ISSN
1471-4906 (ISSN-L)
OpenAlex
W3042043324
Cited by
402
References
56
FWCI
6.73
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Organoid Models of Tumor Immunology. https://app.cochat.ai/papers/10.1016/j.it.2020.06.010
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Yuki, K., Cheng, N., Nakano, M., & Kuo, C. J. (2020). Organoid Models of Tumor Immunology. Trends in Immunology. https://doi.org/10.1016/j.it.2020.06.010

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.