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Cited by 553

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

Adoptive T cell therapy for cancer in the clinic

Open access
June, Carl H.·2007·Journal of Clinical Investigation

Abstract

The transfusion of lymphocytes, referred to as adoptive T cell therapy, is being tested for the treatment of cancer and chronic infections.Adoptive T cell therapy has the potential to enhance antitumor immunity, augment vaccine efficacy, and limit graft-versus-host disease.This form of personalized medicine is now in various early-and late-stage clinical trials.These trials are currently testing strategies to infuse tumor-infiltrating lymphocytes, CTLs, Th cells, and Tregs.Improved molecular biology techniques have also increased enthusiasm and feasibility for testing genetically engineered T cells.The current status of the field and prospects for clinical translation are reviewed herein.Nonstandard abbreviations used: DLI, donor lymphocyte infusion; GVHD, graftversus-host disease; HSV-TK, herpes simplex virus thymidine kinase; MART-1, melanoma-associated antigen recognized by T cells 1; TIL, tumor-infiltrating lymphocyte.Conflict of interest: C.H. June receives income from BD Biosciences, Cell Genesys, CellDex Therapeutics, Maxcyte, and AVEO Pharmaceuticals Inc. and research sup-

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Metadata

Authors
June, C. H.
Venue
Journal of Clinical Investigation
Published
2007-06-01
Volume
117
Issue
6
Pages
1466-1476
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2141262236
Cited by
553
References
112
FWCI
17.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Adoptive T cell therapy for cancer in the clinic. https://app.cochat.ai/papers/10.1172/jci32446
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June, C. H. (2007). Adoptive T cell therapy for cancer in the clinic. Journal of Clinical Investigation. https://doi.org/10.1172/jci32446

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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.