Evidence map›Paper›PMID 41532420›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

GlycoChat Uncovers Glycan-Lectin Circuits in the Tumor Microenvironment of Pancreatic Cancer.

Dinh Xuan Tuan Anh, Sunanda Keisham, Arun Burramsetty, Lalhaba Oinam, Koichiro Kumano, Akihiro Kuno, Osamu Shimomura, Tatsuya Oda, Hiroaki Tateno

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dinh Xuan Tuan AnhCellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0009-0003-6126-6259
Sunanda KeishamCellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Arun BurramsettyCellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Lalhaba OinamCellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Koichiro KumanoDepartment of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Akihiro KunoInstitute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Osamu ShimomuraDepartment of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tatsuya OdaDepartment of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Hiroaki TatenoCellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0003-3006-1659

Funding

AMED 25ama221332h0002JST A-step JPMJTR23U6Takeda COCKPI-T Funding, JSPS KAKEN 23H04796Takeda COCKPI-T Funding, JSPS KAKEN 23K26872
6 · The paper itself

Abstract

Aberrant glycosylation is a hallmark of cancer progression, yet its functional implications within the tumor microenvironment (TME) remain poorly understood. Here, a single-cell glycomic profiling strategy was applied to tumor tissues from patients with pancreatic ductal adenocarcinoma (PDAC), enabling the identification of cell-type-specific glycome signatures and their dynamic alterations during the transition from classical to basal-like cancer subtypes. To systematically decode glycan-mediated communication in the TME, an analytical framework termed GlycoChat was developed for mapping global glycan-lectin circuits at single-cell resolution. GlycoChat identified CLEC10A and SIGLEC3 as lectin receptors expressed on tumor-associated macrophages that interact with cancer cell surface glycans. Functional assays demonstrated that cancer cells promote differentiation of immunosuppressive macrophages and impair phagocytic activity through interactions with CLEC10A and SIGLEC3. This study establishes GlycoChat as a powerful tool for dissecting glycan-lectin circuits in complex TME and highlights glyco-immune checkpoints as potential targets for therapeutic intervention in PDAC.

Indexed as

Carcinoma, Pancreatic DuctalGlycomicsLectinsLectins, C-TypePancreatic NeoplasmsPolysaccharidesTumor MicroenvironmentGlycosylationHumansCLEC10A protein, humanLectinsLectins, C-TypePolysaccharidesglycomeimmune checkpointlectinpancreatic cancersingle‐cell

Identifiers

PMID41532420
PMCPMC12970238

What OpenQuestion holds

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Registered trials

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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.