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Cited by 380

The DOI matches its Crossref record; 284 of the 284 references it cites were found in a registry or an index.

CAR T Cell Therapy for Solid Tumors: Bright Future or Dark Reality?

Open access
Wagner, Jessica, Wickman, Elizabeth, DeRenzo, Christopher, Gottschalk, Stephen·2020·Molecular Therapy

Abstract

Chimeric antigen receptor (CAR) T cell therapy has garnered significant excitement due to its success for hematological malignancies in clinical studies leading to the US Food and Drug Administration (FDA) approval of three CD19-targeted CAR T cell products. In contrast, the clinical experience with CAR T cell therapy for solid tumors and brain tumors has been less encouraging, with only a few patients achieving complete responses. Clinical and preclinical studies have identified multiple "roadblocks," including (1) a limited array of targetable antigens and heterogeneous antigen expression, (2) limited T cell fitness and survival before reaching tumor sites, (3) an inability of T cells to efficiently traffic to tumor sites and penetrate physical barriers, and (4) an immunosuppressive tumor microenvironment. Herein, we review these challenges and discuss strategies that investigators have taken to improve the effector function of CAR T cells for the adoptive immunotherapy of solid tumors.

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Metadata

Authors
Wagner, J., Wickman, E., DeRenzo, C., & Gottschalk, S.
Venue
Molecular Therapy
Publisher
Elsevier BV
Published
2020-11
Volume
28
Issue
11
Pages
2320-2339
ISSN
1525-0016 (ISSN-L)
OpenAlex
W3085241535
Cited by
380
References
284
FWCI
17.00
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: CAR T Cell Therapy for Solid Tumors: Bright Future or Dark Reality? https://app.cochat.ai/papers/10.1016/j.ymthe.2020.09.015
The paper
Wagner, J., Wickman, E., DeRenzo, C., & Gottschalk, S. (2020). CAR T Cell Therapy for Solid Tumors: Bright Future or Dark Reality? Molecular Therapy. https://doi.org/10.1016/j.ymthe.2020.09.015

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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.