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Combinatorial antigen recognition with balanced signaling promotes selective tumor eradication by engineered T cells

Open access
Kloss, Christopher C, Condomines, Maud, Cartellieri, Marc, Bachmann, Michael, Sadelain, Michel·2013·Nature Biotechnology

Abstract

Current T-cell engineering approaches redirect patient T cells to tumors by transducing them with antigen-specific T-cell receptors (TCRs) or chimeric antigen receptors (CARs) that target a single antigen. However, few truly tumor-specific antigens have been identified, and healthy tissues that express the targeted antigen may undergo T cell–mediated damage. Here we present a strategy to render T cells specific for a tumor in the absence of a truly tumor-restricted antigen. T cells are transduced with both a CAR that provides suboptimal activation upon binding of one antigen and a chimeric costimulatory receptor (CCR) that recognizes a second antigen. Using the prostate tumor antigens PSMA and PSCA, we show that co-transduced T cells destroy tumors that express both antigens but do not affect tumors expressing either antigen alone. This 'tumor-sensing' strategy may help broaden the applicability and avoid some of the side effects of targeted T-cell therapies.

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Metadata

Authors
Kloss, C. C., Condomines, M., Cartellieri, M., Bachmann, M., & Sadelain, M.
Venue
Nature Biotechnology
Published
2012-12-16
Volume
31
Issue
1
Pages
71-75
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2002132740
Cited by
857
References
1
FWCI
17.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Combinatorial antigen recognition with balanced signaling promotes selective tumor eradication by engineered T cells. https://app.cochat.ai/papers/10.1038/nbt.2459
The paper
Kloss, C. C., Condomines, M., Cartellieri, M., Bachmann, M., & Sadelain, M. (2013). Combinatorial antigen recognition with balanced signaling promotes selective tumor eradication by engineered T cells. Nature Biotechnology. https://doi.org/10.1038/nbt.2459

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