ReviewBiomedicines2024
Glycosylation and Its Role in Immune Checkpoint Proteins: From Molecular Mechanisms to Clinical Implications.
Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Protein Posttranslational Modifications in Immunity: Molecular Mechanisms and Therapeutic Targets.MedComm · 2026Review
- Uncovering the Intricate and Heterogeneous Cellular Microenvironment of Cutaneous Melanoma.Medicina (Kaunas, Lithuania) · 2026Review
- Network toxicology and bioinformatic investigation of the association between Bisphenol A and endometrial cancer.Scientific reports · 2026Article
- Core Fucosylation Represses SMURF1-Dependent Degradation of CD47 to Promote Tumor Immune Evasion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Glycosylation converts CD24 from a developmental marker into a glyco-immune checkpoint in B-cell acute lymphoblastic leukemia.Frontiers in immunology · 2026Review
- Review
- Molecular dynamics insights into the redox effects on PD-1/PD-L1 and PD-1/PD-L2 interactions.Scientific reports · 2025Article
- Stromal modifying CHST15 siRNA enhances antitumor effect synergistically with anti-PD-1 immune checkpoint antibody in murine pancreatic cancer.Scientific reports · 2025Article
- Programmed Cell Death Ligand as a Biomarker for Response to Immunotherapy: Contribution of Mass Spectrometry-Based Analysis.Cancers · 2025Review
- Immunopathology in PMM2-CDG: Defective glycosylation impact in the TNFα -TNFR1 signalling pathway.Frontiers in immunology · 2025Article
- Mechanistic and Therapeutic Implications of Protein and Lipid Sialylation in Human Diseases.International journal of molecular sciences · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint proteins have become recent research hotspots for their vital role in maintaining peripheral immune tolerance and suppressing immune response function in a wide range of tumors. Therefore, investigating the immunomodulatory functions of immune checkpoints and their therapeutic potential for clinical use is of paramount importance. The immune checkpoint blockade (ICB) is an important component of cancer immunotherapy, as it targets inhibitory immune signaling transduction with antagonistic antibodies to restore the host immune response. Anti-programmed cell death-1 (PD-1) and anti-cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) monoclonal antibodies are two main types of widely used ICBs that drastically improve the survival and prognosis of many patients with cancer. Nevertheless, the response rate of most cancer types remains relatively low due to the drug resistance of ICBs, which calls for an in-depth exploration to improve their efficacy. Accumulating evidence suggests that immune checkpoint proteins are glycosylated in forms of N-glycosylation, core fucosylation, or sialylation, which affect multiple biological functions of proteins such as protein biosynthesis, stability, and interaction. In this review, we give a brief introduction to several immune checkpoints and summarize primary molecular mechanisms that modulate protein stability and immunosuppressive function. In addition, newly developed methods targeting glycosylation on immune checkpoints for detection used to stratify patients, as well as small-molecule agents disrupting receptor-ligand interactions to circumvent drug resistance of traditional ICBs, in order to increase the clinical efficacy of immunotherapy strategies of patients with cancer, are also included to provide new insights into scientific research and clinical treatments.
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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.