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Cited by 396

The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.

Improving CAR-T immunotherapy: Overcoming the challenges of T cell exhaustion

Open access
Gumber, Diana, Wang, Leo D.·2022·eBioMedicine

Abstract

Chimeric antigen receptor (CAR) T cell therapy has emerged as a cancer treatment with enormous potential, demonstrating impressive antitumor activity in the treatment of hematological malignancies. However, CAR T cell exhaustion is a major limitation to their efficacy, particularly in the application of CAR T cells to solid tumors. CAR T cell exhaustion is thought to be due to persistent antigen stimulation, as well as an immunosuppressive tumor microenvironment, and mitigating exhaustion to maintain CAR T cell effector function and persistence and achieve clinical potency remains a central challenge. Here, we review the underlying mechanisms of exhaustion and discuss emerging strategies to prevent or reverse exhaustion through modifications of the CAR receptor or CAR independent pathways. Additionally, we discuss the potential of these strategies for improving clinical outcomes of CAR T cell therapy.

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Metadata

Authors
Gumber, D., & Wang, L. D.
Venue
eBioMedicine
Publisher
Elsevier BV
Published
2022-03
Volume
77
Pages
103941
ISSN
2352-3964 (ISSN-L)
OpenAlex
W4220721336
Cited by
396
References
148
FWCI
28.91
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Improving CAR-T immunotherapy: Overcoming the challenges of T cell exhaustion. https://app.cochat.ai/papers/10.1016/j.ebiom.2022.103941
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Gumber, D., & Wang, L. D. (2022). Improving CAR-T immunotherapy: Overcoming the challenges of T cell exhaustion. eBioMedicine. https://doi.org/10.1016/j.ebiom.2022.103941

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.