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Cited by 394

The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.

Tim-3 finds its place in the cancer immunotherapy landscape

Open access
Acharya, Nandini, Sabatos-Peyton, Catherine, Anderson, Ana Carrizosa·2020·Journal for ImmunoTherapy of Cancer

Abstract

The blockade of immune checkpoint receptors has made great strides in the treatment of major cancers, including melanoma, Hodgkin’s lymphoma, renal, and lung cancer. However, the success rate of immune checkpoint blockade is still low and some cancers, such as microsatellite‐stable colorectal cancer, remain refractory to these treatments. This has prompted investigation into additional checkpoint receptors. T-cell immunoglobulin and mucin domain 3 (Tim-3) is a checkpoint receptor expressed by a wide variety of immune cells as well as leukemic stem cells. Coblockade of Tim-3 and PD-1 can result in reduced tumor progression in preclinical models and can improve antitumor T-cell responses in cancer patients. In this review, we will discuss the basic biology of Tim-3, its role in the tumor microenvironment, and the emerging clinical trial data that point to its future application in the field of immune-oncology.

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Crossref · 10.1136/jitc-2020-000911

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Metadata

Authors
Acharya, N., Sabatos-Peyton, C., & Anderson, A. C.
Venue
Journal for ImmunoTherapy of Cancer
Publisher
BMJ
Published
2020-06
Volume
8
Issue
1
Pages
e000911
ISSN
2051-1426 (ISSN-L)
OpenAlex
W3037333252
Cited by
394
References
104
FWCI
18.37
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Tim-3 finds its place in the cancer immunotherapy landscape. https://app.cochat.ai/papers/10.1136/jitc-2020-000911
The paper
Acharya, N., Sabatos-Peyton, C., & Anderson, A. C. (2020). Tim-3 finds its place in the cancer immunotherapy landscape. Journal for ImmunoTherapy of Cancer. https://doi.org/10.1136/jitc-2020-000911

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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.