journal article·2026-03Open access

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

Advanced Science· Volume 13· Issue 14

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Glycosylation and Glycoproteins Research · Immune cells in cancer · Galectins and Cancer Biology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Cellular and Molecular Biotechnology Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Ibaraki Japan

Ph.D. Program in Human Biology School of Integrative and Global Majors University of Tsukuba Tsukuba Ibaraki Japan

Department of Gastrointestinal and Hepato‐Biliary‐Pancreatic Surgery Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan

Institute of Medicine University of Tsukuba Tsukuba Ibaraki Japan

Laboratory Animal Resource Center Transborder Medical Research Center Institute of Medicine University of Tsukuba Tsukuba Japan

Funding

Japan Agency for Medical Research and Development

References (61)

Show source-provided references
1. 10.1038/s41598‐020‐73525‐y10.1038/s41598‐020‐73525‐y ↗
2. 10.1158/0008‐5472.CAN‐14‐015510.1158/0008‐5472.CAN‐14‐0155 ↗
3. 10.1093/annonc/mdv29510.1093/annonc/mdv295 ↗
4. 10.1097/PPO.000000000000028810.1097/PPO.0000000000000288 ↗
5. 10.3390/biom1106090110.3390/biom11060901 ↗
6. 10.3389/fimmu.2023.125853810.3389/fimmu.2023.1258538 ↗
7. 10.3389/fonc.2023.111601610.3389/fonc.2023.1116016 ↗
8. Varki A. · 2015
9. 10.1074/mcp.M114.04783710.1074/mcp.M114.047837 ↗
10. Identification of the Gastrointestinal and Pancreatic Cancer‐Associated Antigen Detected by Monoclonal Antibody 19–9 in the Sera of Patients as a Mucin
11. 10.1016/j.ejso.2006.10.00410.1016/j.ejso.2006.10.004 ↗
12. 10.1016/j.abb.2004.04.00810.1016/j.abb.2004.04.008 ↗
13. 10.1126/science.aaw314510.1126/science.aaw3145 ↗
14. 10.1093/glycob/cwad00910.1093/glycob/cwad009 ↗
15. 10.1158/1535‐7163.MCT‐17‐023210.1158/1535‐7163.MCT‐17‐0232 ↗
16. 10.1158/1078‐0432.CCR‐18‐331010.1158/1078‐0432.CCR‐18‐3310 ↗
17. 10.1016/j.ccell.2019.06.00610.1016/j.ccell.2019.06.006 ↗
18. 10.1038/nri.2018.310.1038/nri.2018.3 ↗
19. 10.1038/nri.2018.310.1038/nri.2018.3 ↗
20. 10.3390/biom1102018810.3390/biom11020188 ↗
21. 10.1039/D4BM01732C10.1039/D4BM01732C ↗
22. 10.1038/s41422‐019‐0195‐y10.1038/s41422‐019‐0195‐y ↗
23. 10.1038/s41467‐023‐40895‐610.1038/s41467‐023‐40895‐6 ↗
24. 10.1038/s41467‐023‐36296‐410.1038/s41467‐023‐36296‐4 ↗
25. 10.1016/j.xpro.2022.10117910.1016/j.xpro.2022.101179 ↗
26. 10.1016/j.isci.2021.10288210.1016/j.isci.2021.102882 ↗
27. 10.1002/smtd.20230133810.1002/smtd.202301338 ↗
28. 10.1074/jbc.M111.23127410.1074/jbc.M111.231274 ↗
29. 10.1038/ng.339810.1038/ng.3398 ↗
30. 10.1016/j.cell.2021.11.01710.1016/j.cell.2021.11.017 ↗
31. 10.1007/s10522‐021‐09940‐z10.1007/s10522‐021‐09940‐z ↗
32. 10.1111/cas.1502310.1111/cas.15023 ↗
33. 10.1038/s42003‐021‐02934‐010.1038/s42003‐021‐02934‐0 ↗
34. 10.1038/s41698‐024‐00522‐z10.1038/s41698‐024‐00522‐z ↗
35. 10.1073/pnas.06163369810.1073/pnas.061633698 ↗
36. 10.1152/ajpcell.00149.201210.1152/ajpcell.00149.2012 ↗
37. 10.1038/s41467‐021‐21550‐410.1038/s41467‐021‐21550‐4 ↗
38. 10.1093/glycob/cwad08310.1093/glycob/cwad083 ↗
39. 10.1038/nri205610.1038/nri2056 ↗
40. 10.1093/nar/gkaa40710.1093/nar/gkaa407 ↗
41. 10.3389/fimmu.2022.88871310.3389/fimmu.2022.888713 ↗
42. 10.3389/fimmu.2021.70272610.3389/fimmu.2021.702726 ↗
43. 10.3389/fimmu.2019.0183510.3389/fimmu.2019.01835 ↗
44. 10.1038/s41467‐024‐49282‐110.1038/s41467‐024‐49282‐1 ↗
45. 10.1186/s12943‐024‐02023‐w10.1186/s12943‐024‐02023‐w ↗
46. 10.1038/s41598‐025‐02404‐110.1038/s41598‐025‐02404‐1 ↗
47. 10.3390/cancers1006020710.3390/cancers10060207 ↗
48. 10.7150/thno.2099910.7150/thno.20999 ↗
49. 10.1016/j.biopha.2021.11161410.1016/j.biopha.2021.111614 ↗
50. 10.3390/cancers1401019410.3390/cancers14010194 ↗
51. 10.1146/annurev‐immunol‐031210‐10135210.1146/annurev‐immunol‐031210‐101352 ↗
52. 10.3390/ijms24231707810.3390/ijms242317078 ↗
53. 10.1128/MCB.23.12.4199‐4206.200310.1128/MCB.23.12.4199‐4206.2003 ↗
54. 10.1126/scitranslmed.abj127010.1126/scitranslmed.abj1270 ↗
55. 10.1016/j.bbcan.2009.02.00110.1016/j.bbcan.2009.02.001 ↗
56. 10.62347/EZST550510.62347/EZST5505 ↗
57. 10.1038/s41589‐020‐0622‐x10.1038/s41589‐020‐0622‐x ↗
58. 10.1016/j.tibs.2016.03.00710.1016/j.tibs.2016.03.007 ↗
59. 10.1016/j.cell.2015.05.00210.1016/j.cell.2015.05.002 ↗
60. 10.1016/j.cell.2021.04.04810.1016/j.cell.2021.04.048 ↗
61. 10.1111/j.1365‐2818.2006.01706.x10.1111/j.1365‐2818.2006.01706.x ↗