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Cited by 435

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

TIGIT and CD 96: new checkpoint receptor targets for cancer immunotherapy

Dougall, William C., Kurtulus, Sema, Smyth, Mark J., Anderson, Ana C.·2017·Immunological Reviews

Abstract

Summary: While therapies targeting the co‐inhibitory or immune checkpoint receptors PD‐1 and CTLA‐4 have shown remarkable success in many cancers, not all patients benefit from these therapies. This has catalyzed enormous interest in the targeting of other immune checkpoint receptors. In this regard, TIGIT and CD 96 have recently entered the limelight as novel immune checkpoint receptor targets. TIGIT and CD 96 together with the co‐stimulatory receptor CD 226 form a pathway that is analogous to the CD 28/CTLA‐4 pathway, in which shared ligands and differential receptor:ligand affinities fine‐tune the immune response. Although the roles of TIGIT and CD 96 as immune checkpoint receptors in T cell and natural killer cell biology are just beginning to be uncovered, accumulating data support the targeting of these receptors for improving anti‐tumor immune responses. A clear understanding of the immune cell populations regulated by TIGIT and CD 96 is key to the design of immunotherapies that target these receptors in combination with other existing immune checkpoint blockade therapies.

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Metadata

Authors
Dougall, W. C., Kurtulus, S., Smyth, M. J., & Anderson, A. C.
Venue
Immunological Reviews
Publisher
Wiley
Published
2017-03
Volume
276
Issue
1
Pages
112-120
ISSN
  • 0105-2896 (ISSN-L)
  • 1600-065X
OpenAlex
W2592785733
Cited by
435
References
52
FWCI
4.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: TIGIT and CD 96: new checkpoint receptor targets for cancer immunotherapy. https://app.cochat.ai/papers/10.1111/imr.12518
The paper
Dougall, W. C., Kurtulus, S., Smyth, M. J., & Anderson, A. C. (2017). TIGIT and CD 96: new checkpoint receptor targets for cancer immunotherapy. Immunological Reviews. https://doi.org/10.1111/imr.12518

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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.