ArticleCellular & molecular immunology2024
Glut3 promotes cellular O-GlcNAcylation as a distinctive tumor-supportive feature in Treg cells.
Article in Cellular & molecular immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Post-translational modifications in metabolic reprogramming: implications for metabolic therapy and immunotherapy in cancer.Signal transduction and targeted therapy · 2026Review
- The Glucose Transporter GLUT3 Controls Regulatory T Cell Function.European journal of immunology · 2026Article
- GLUT1 expression, lymphocyte distribution and CD3Journal of experimental & clinical cancer research : CR · 2026Article
- Tumor microenvironment-induced epigenetic reprogramming of Tregs and its impact on immunotherapy.Frontiers in genetics · 2026Review
- O-GlcNAcylation at the tumor-immune interface: a metabolic post-translational code driving immune evasion and therapy resistance in cancer.Frontiers in immunology · 2026Review
- Gut microbiota in regulatory T cell generation and function: mechanisms and health implications.Gut microbes · 2025Review
- Immunometabolism: crosstalk with tumor metabolism and implications for cancer immunotherapy.Molecular cancer · 2025Review
- Metabolic checkpoints in immune cell reprogramming: rewiring immunometabolism for cancer therapy.Molecular cancer · 2025Review
- Mechanometabolic Regulation in Cancer Progression: Lessons from Fibrotic Remodeling.International journal of biological sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
Regulatory T cells (Tregs) establish dominant immune tolerance but obstruct tumor immune surveillance, warranting context-specific mechanistic insights into the functions of tumor-infiltrating Tregs (TIL-Tregs). We show that enhanced posttranslational O-linked N-acetylglucosamine modification (O-GlcNAcylation) of cellular factors is a molecular feature that promotes a tumor-specific gene expression signature and distinguishes TIL-Tregs from their systemic counterparts. We found that altered glucose utilization through the glucose transporter Glut3 is a major facilitator of this process. Treg-specific deletion of Glut3 abrogates tumor immune tolerance, while steady-state immune homeostasis remains largely unaffected in mice. Furthermore, by employing mouse tumor models and human clinical data, we identified the NF-κB subunit c-Rel as one such factor that, through Glut3-dependent O-GlcNAcylation, functionally orchestrates gene expression in Tregs at tumor sites. Together, these results not only identify immunometabolic alterations and molecular events contributing to fundamental aspects of Treg biology, specifically at tumor sites but also reveal tumor-specific cellular properties that can aid in the development of Treg-targeted cancer immunotherapies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.