Evidence map›Paper›PMID 42223497›Full record

ArticleGlycobiology2026

Sialylation profile and Siglec-E expression across tissues in the B16OVA melanoma mouse model.

Magali Coccimiglio, Tao Zhang, Katarzyna Olesek, Laura Goossens-Kruijssen, Noortje de Haan, Fabrizio Chiodo, Yvette van Kooyk

Abstract read
In one paragraph

Article in Glycobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Magali CoccimiglioDepartment of Molecular Cell Biology & Immunology, Amsterdam UMC Location VUmc, De Boelelaan 1108, 1081 HZ, 1007 MB, Amsterdam, The Netherlands.ORCID 0000-0002-5533-5321
Tao ZhangCenter for Proteomics and Metabolomics, Leiden University Medical Center, Room P-01-064, Building 1 (route 920), 2333 ZA, Leiden, The Netherlands.
Katarzyna OlesekDepartment of Molecular Cell Biology & Immunology, Amsterdam UMC Location VUmc, De Boelelaan 1108, 1081 HZ, 1007 MB, Amsterdam, The Netherlands.
Laura Goossens-KruijssenDepartment of Molecular Cell Biology & Immunology, Amsterdam UMC Location VUmc, De Boelelaan 1108, 1081 HZ, 1007 MB, Amsterdam, The Netherlands.
Noortje de HaanCenter for Proteomics and Metabolomics, Leiden University Medical Center, Room P-01-064, Building 1 (route 920), 2333 ZA, Leiden, The Netherlands.
Fabrizio ChiodoItalian National Research Council, Institute of Biomolecular Chemistry, Via Campi Flegrei, 34, 80078, Pozzuoli, Naples, Italy.
Yvette van KooykDepartment of Molecular Cell Biology & Immunology, Amsterdam UMC Location VUmc, De Boelelaan 1108, 1081 HZ, 1007 MB, Amsterdam, The Netherlands.

Funding

EU Horizon 2020EU HORIZON-CSA program GLYCOTwinning 101079417Marie Skłodowska-Curie Actions 956758The HealthHolland program TARGlycan TKI-LSH-DT2O22LUMC:2022-02
6 · The paper itself

Abstract

Increased sialylation of tumour cells, which favours tumour growth and immune evasion, has been described using in vitro and in vivo models, leading to the first in-human clinical trial targeting sialylation in cancer. One important limitation is that the biology of sialic acids and their receptors (Siglecs), which have been considered as immune checkpoints, is different between mice and human. Hence, it is crucial to fully describe and investigate sialic acids and Siglecs expression in animal models, to define their advantages and limitations. Here, we determined the sialylation profile of the widely-used B16OVA melanoma mouse model using flow cytometry and glycomics. B16OVA cells express Siglec-E-binding sialoglycans, therefore we explored Siglec-E expression across various tissues from tumour-bearing mice. We identified that Siglec-E is expressed on myeloid cells and CD8+ T cells in the tumour microenvironment. However, in spleen, blood and tumour-draining lymph nodes not only CD8+ but also CD4+ T cells expressed Siglec-E. Interestingly, Siglec-E+ and Siglec-E- T cells presented distinct expression of PD-1 across tissues, suggesting different regulation mechanisms for the expression of these immune checkpoints. Our work provides an investigation of the sialoglycans on B16OVA cells and the expression of their receptor Siglec-E across tissues, which is of importance for future therapeutic studies targeting the sialic acids-Siglec axis, especially in combination with anti-PD-1 therapies.

Indexed as

Melanoma, ExperimentalN-Acetylneuraminic AcidSialic Acid Binding Immunoglobulin-like LectinsAnimalsAntigens, CDAntigens, Differentiation, B-LymphocyteDisease Models, AnimalFemaleMiceMice, Inbred C57BLTumor MicroenvironmentAntigens, CDAntigens, Differentiation, B-LymphocyteN-Acetylneuraminic AcidSialic Acid Binding Immunoglobulin-like LectinsSiglece protein, mouseimmune suppressionmelanomasialylationSiglec-ET cells

Identifiers

PMID42223497
PMCPMC13229241

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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.