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Cited by 171

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Disorders of the JAK/STAT Pathway in T Cell Lymphoma Pathogenesis: Implications for Immunotherapy

Open access
Waldmann, Thomas A., Chen, Jing·2017·Annual Review of Immunology

Abstract

Common gamma receptor–dependent cytokines and their JAK/STAT pathways play pivotal roles in T cell immunity. Abnormal activation of this system was pervasive in diverse T cell malignancies assessed by pSTAT3/pSTAT5 phosphorylation. Activating mutations were described in some but not all cases. JAK1 and STAT3 were required for proliferation and survival of these T cell lines whether or not JAKs or STATs were mutated. Activating JAK and STAT mutations were not sufficient to initiate leukemic cell proliferation but rather only augmented signals from upstream in the cytokine pathway. Activation required the full pathway, including cytokine receptors acting as scaffolds and docking sites for required downstream JAK/STAT proteins. JAK kinase inhibitors have depressed leukemic T cell line proliferation. The insight that JAK/STAT system activation is pervasive in T cell malignancies suggests novel therapeutic approaches that include antibodies to common gamma cytokines, inhibitors of cytokine-receptor interactions, and JAK kinase inhibitors that may revolutionize therapy for T cell malignancies.

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Metadata

Authors
Waldmann, T. A., & Chen, J.
Venue
Annual Review of Immunology
Published
2017-04-26
Volume
35
Issue
1
Pages
533-550
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2587153615
Cited by
171
References
5
FWCI
2.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Disorders of the JAK/STAT Pathway in T Cell Lymphoma Pathogenesis: Implications for Immunotherapy. https://app.cochat.ai/papers/10.1146/annurev-immunol-110416-120628
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Waldmann, T. A., & Chen, J. (2017). Disorders of the JAK/STAT Pathway in T Cell Lymphoma Pathogenesis: Implications for Immunotherapy. Annual Review of Immunology. https://doi.org/10.1146/annurev-immunol-110416-120628

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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.