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Usage Information

Requirement of Treg-intrinsic CTLA4/PKCη signaling pathway for suppressing tumor immunity
Christophe Pedros, Ann J. Canonigo-Balancio, Kok-Fai Kong, Amnon Altman
Christophe Pedros, Ann J. Canonigo-Balancio, Kok-Fai Kong, Amnon Altman
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Research Article Immunology

Requirement of Treg-intrinsic CTLA4/PKCη signaling pathway for suppressing tumor immunity

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Abstract

The ability of Tregs to control the development of immune responses is essential for maintaining immune system homeostasis. However, Tregs also inhibit the development of efficient antitumor responses. Here, we explored the characteristics and mechanistic basis of the Treg-intrinsic CTLA4/PKCη signaling pathway that we recently found to be required for contact-dependent Treg-mediated suppression. We show that PKCη is required for the Treg-mediated suppression of tumor immunity in vivo. The presence of PKCη-deficient (Prkch–/–) Tregs in the tumor microenvironment was associated with a significantly increased expression of the costimulatory molecule CD86 on intratumoral CD103+ DCs, enhanced priming of antigen-specific CD8+ T cells, and greater levels of effector cytokines produced by these cells. Similar to mouse Tregs, the GIT/PAK/PIX complex also operated downstream of CTLA4 and PKCη in human Tregs, and GIT2 knockdown in Tregs promoted antitumor immunity. Collectively, our data suggest that targeting the CTLA4/PKCη/GIT/PAK/PIX signaling pathway in Tregs could represent a novel immunotherapeutic strategy to alleviate the negative impact of Tregs on antitumor immune responses.

Authors

Christophe Pedros, Ann J. Canonigo-Balancio, Kok-Fai Kong, Amnon Altman

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Usage data is cumulative from April 2025 through April 2026.

Usage JCI PMC
Text version 1,285 56
PDF 107 12
Figure 339 2
Supplemental data 39 0
Citation downloads 111 0
Totals 1,881 70
Total Views 1,951
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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