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Cited by 420

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

CD4+CD25+ T Regulatory Cells Suppress NK Cell-Mediated Immunotherapy of Cancer

Smyth, Mark J, Teng, Michele W L, Swann, Jeremy, Kyparissoudis, Konstantinos, Godfrey, Dale I, Hayakawa, Yoshihiro·2006·The Journal of Immunology

Abstract

CD4+CD25+ regulatory T cells (Treg) that suppress T cell-mediated immune responses may also regulate other arms of an effective immune response. In particular, in this study we show that Treg directly inhibit NKG2D-mediated NK cell cytotoxicity in vitro and in vivo, effectively suppressing NK cell-mediated tumor rejection. In vitro, Treg were shown to inhibit NKG2D-mediated cytolysis largely by a TGF-β-dependent mechanism and independently of IL-10. Adoptively transferred Treg suppressed NK cell antimetastatic function in RAG-1-deficient mice. Depletion of Treg before NK cell activation via NKG2D and the activating IL-12 cytokine, dramatically enhanced NK cell-mediated suppression of tumor growth and metastases. Our data illustrate at least one mechanism by which Treg can suppress NK cell antitumor activity and highlight the effectiveness of combining Treg inhibition with subsequent NK cell activation to promote strong innate antitumor immunity.

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Metadata

Authors
Smyth, M. J., Teng, M. W. L., Swann, J., Kyparissoudis, K., Godfrey, D. I., & Hayakawa, Y.
Venue
The Journal of Immunology
Published
2006-02-01
Volume
176
Issue
3
Pages
1582-1587
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2132143019
Cited by
420
References
34
FWCI
12.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: CD4+CD25+ T Regulatory Cells Suppress NK Cell-Mediated Immunotherapy of Cancer. https://app.cochat.ai/papers/10.4049/jimmunol.176.3.1582
The paper
Smyth, M. J., Teng, M. W. L., Swann, J., Kyparissoudis, K., Godfrey, D. I., & Hayakawa, Y. (2006). CD4+CD25+ T Regulatory Cells Suppress NK Cell-Mediated Immunotherapy of Cancer. The Journal of Immunology. https://doi.org/10.4049/jimmunol.176.3.1582

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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.