PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 5, 2026Cancer Research0 citations

Abstract 2804: Sialic acid inhibits engager-mediated T cell activation

View Full Paper
JNJohanna NimmerfrohDHDinah HeiligensetzerMSMichael T. Sandholzer

Key Points

  • The aim is to explore the role of sialic acid in modulating T cell activation and its implications for cancer immunotherapy.
  • T cells were treated with pan-sialidase to remove sialic acids.
  • Desialylated T cells were stimulated with anti-CD3/anti-CD28 and co-cultured with bispecific T cell engagers.
  • Flow cytometry was used to analyze T cell function post-treatment.
  • Primary CLL samples were studied using single-cell RNA sequencing and glycan profiling.
  • Desialylated T cells showed increased proliferation and activation.
  • Sialidase-treated T cells had enhanced cytotoxicity and cytokine production in co-culture systems.
  • The activation threshold in naïve T cells decreased after sialidase treatment.
  • Sialic acid remodeling in CLL samples improved overall immune function.

Abstract

Abstract Background: Although T cell-based therapies have led to a significant success in certain tumor types, a large proportion of patients receiving cancer immunotherapy still progress with the disease. Thus, there is interest in identifying and blocking alternative pathways mediating immune suppression. Beyond canonical protein-based immune checkpoints, tumor-associated glycosylation—particularly hypersialylation—has emerged as a key modulator of immune suppression. Sialic acid-containing glycans on tumor cells are recognized as glyco-immune checkpoints that engage inhibitory Siglec receptors on immune cells. While the immunosuppressive role of tumor sialylation is well established1, new evidence indicates that sialylation of the T cells themselves2 may also contribute to immune dysfunction, suggesting a previously underappreciated layer of glyco-regulation in the tumor microenvironment. Methods: Human T cells were treated with pan-sialidase to enzymatically remove surface sialic acids. Desialylated T cells were then stimulated with anti-CD3/anti-CD28 or co-cultured with bispecific T cell engagers and tumor target cells, followed by flow cytometry. Primary samples from patients with chronic lymphocytic leukemia (CLL) were analyzed through single-cell RNA sequencing combined with lectin-based glycan profiling. Results: We discovered that T cells treated with sialidase exhibited enhanced proliferation and activation. In a co-culture system with bispecific T cell engagers and target cells, we demonstrated that sialidase-treated T cells showed enhanced cytotoxicity, including increased cytokine production, T cell proliferation, and tumor cell killing. When studying T cell subsets, we observed that sialidase treatment lowered the activation threshold particularly in naïve T cells. Our findings were validated using primary samples from patients with chronic lymphocytic leukemia (CLL): sialic acid remodeling led to improved immune function. Conclusion: Sialic acids on T cells significantly modulate their function. Enzymatic removal of these glycans enhances T cell response and may help overcome resistance mechanisms in cancer immunotherapy. Future studies will investigate whether distinct glycan signatures among T cell subtypes correlate with functional heterogeneity.1Dobie, C., Skropeta, D. Br J Cancer 2021,124, 76-90.2Edgar, L. J.; Paulson J. C et al. ACS Cent Sci 2021, 7, 1508-1515. Citation Format: Johanna Nimmerfroh, Dinah Heiligensetzer, Michael Sandholzer, Anastasiya Börsch, Heinz Laubli. Sialic acid inhibits engager-mediated T cell activation abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2804.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nimmerfroh et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdd4a79560c99a0a4284https://doi.org/10.1158/1538-7445.am2026-2804
Ask AI
Helpful
Bookmark
Share
View Full Paper