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Cited by 486

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Adoptive T Cell Transfer for Cancer Immunotherapy in the Era of Synthetic Biology

Open access
Kalos, Michael, June, Carl H.·2013·Immunity

Abstract

Adoptive T cell transfer for cancer and chronic infection is an emerging field that shows promise in recent trials. Synthetic biology-based engineering of T lymphocytes to express high affinity antigen-receptors can overcome immune tolerance, which has been a major limitation of immunotherapy-based strategies. Advances in cell engineering and culture approaches to enable efficient gene transfer and ex vivo cell expansion have facilitated broader evaluation of this technology, moving adoptive transfer from a “boutique” application to the cusp of a mainstream technology. The major challenge currently facing the field is to increase the specificity of engineered T cells for tumors, since targeting shared antigens has the potential to lead to on-target off-tumor toxicities, as observed in recent trials. As the field of adoptive transfer technology matures, the major engineering challenge is the development of automated cell culture systems, so that the approach can extend beyond specialized academic centers and become widely available.

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Crossref · 10.1016/j.immuni.2013.07.002

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Metadata

Authors
Kalos, M., & June, C. H.
Venue
Immunity
Publisher
Elsevier BV
Published
2013-07
Volume
39
Issue
1
Pages
49-60
ISSN
1074-7613 (ISSN-L)
OpenAlex
W2028417270
Cited by
486
References
17
FWCI
28.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Adoptive T Cell Transfer for Cancer Immunotherapy in the Era of Synthetic Biology. https://app.cochat.ai/papers/10.1016/j.immuni.2013.07.002
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Kalos, M., & June, C. H. (2013). Adoptive T Cell Transfer for Cancer Immunotherapy in the Era of Synthetic Biology. Immunity. https://doi.org/10.1016/j.immuni.2013.07.002

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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.