Rudd, CE, Chanthong, K and Taylor, A orcid.org/0000-0003-2295-2611 (2020) Small Molecule Inhibition of Glycogen Synthase Kinase 3 (GSK-3) Specifically Inhibits the Transcription of Inhibitory Co-Receptor LAG-3 for Enhanced Anti-Tumor Immunity. Cell Reports, 30 (7). pp. 2075-2082. ISSN 2211-1247
Abstract
Immune checkpoint blockade using antibodies against negative co-receptors such as cytolytic T cell antigen-4 (CTLA-4) and programmed cell death-1 (PD-1) has seen much success treating cancer. However, most patients are still not cured, underscoring the need for improved treatments and the possible development of small molecule inhibitors (SMIs) for improved immunotherapy. We previously showed that glycogen synthase kinase (GSK)- 3a/b is a central regulator of PD-1 expression, where GSK-3 inhibition down-regulates PD-1 and enhances CD8+ cytolytic T cell (CTL) function, reducing viral infections and tumor growth. Here, we demonstrate that GSK-3 also negatively regulates Lymphocyte Activation Gene-3 (LAG-3) expression on CD4+ and CD8+ T cells. GSK-3 SMIs are more effective than LAG-3 blockade alone in suppressing B16 melanoma growth, while their combination resulted in enhanced tumor clearance. This was linked to increased expression of the transcription factor, Tbet, which bound the LAG-3 promoter, inhibiting its transcription, and to increased granzyme B and interferong1 expression. Overall, we describe a small molecule approach to inhibit LAG-3, resulting in enhanced anti-tumor immunity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Cancer Research UK C11071/A20105 Wellcome Trust 204825/Z/16/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Jan 2020 14:36 |
Last Modified: | 25 Jun 2023 22:07 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.celrep.2020.01.076 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156011 |