PreprintCited by 1Renal cell carcinoma treatmentGlycosylation and Glycoproteins ResearchGalectins and Cancer Biology

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

CLEC18A interacts with sulfated GAGs and controls clear cell renal cell carcinoma progression

Open access

Preprint — published as 10.1111/febs.70236 · Paper page

Abstract

C-type lectins are a large family of proteins with essential functions in both health and disease. In cancer, some C-type lectins have been found to both promote and inhibit tumor growth, but many of the C-type lectins still remain uncharacterised in a tumor context. Therefore, there is growing interst in further elucidating the mechanisms with which C-type lectins control tumor growth. Here, we report a key role of the CLEC18 family of C-type lectins in the progression of clear cell renal cell carcinoma (ccRCC). The CLEC18 family is conserved across the entire Chordata phylum with recent gene duplication events in humans. We found that CLEC18A is exclusively expressed in the proximal tubule of the kidney and the medial habenula of the brain. We further identified sulfated glycosaminoglycans (GAGs) of proteoglycans as the main CLEC18A ligand, making them unique among C-type lectins. In ccRCC patients, high expression of the CLEC18 family lectins in the tumor are associated with improved survival. In mouse models of ccRCC, deletion of the mouse ortholog Clec18a resulted in enhanced tumor growth. Our results establishes CLEC18A as a novel and critical regulators of ccRCC tumor growth and highlights the potential benefit of modulating CLEC18 expression in the renal tumor microenvironment.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2024.07.08.602586

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 67

  1. 10.1038/s41577-018-0004-8 · DOI
  2. 2016, C-type lectin receptors in the control of T helper cell differentiation, Nature Reviews Immunology, 16, 433, 10.1038/nri.2016.55 · DOI
  3. 10.1007/s00418-016-1523-7 · DOI
  4. 10.1016/j.sbi.2015.06.003 · DOI
  5. 10.1074/jbc.M601925200 · DOI
  6. 1999, Characterization of the mouse collectin gene locus, American journal of respiratory cell and molecular biology, 21, 193, 10.1165/ajrcmb.21.2.3681 · DOI
  7. 10.1038/nature17403 · DOI
  8. 10.1038/nm.4314 · DOI
  9. 2017, C-type lectins facilitate tumor metastasis, Oncology letters, 13, 13, 10.3892/ol.2016.5431 · DOI
  10. 10.1073/pnas.1617903113 · DOI
  11. 2015, Dectin-1 regulates hepatic fibrosis and hepatocarcinogenesis by suppressing TLR4 signaling pathways, Cell reports, 13, 1909, 10.1016/j.celrep.2015.10.058 · DOI
  12. 10.1074/jbc.M115.649814 · DOI
  13. 2018, The human C-type lectin 18 is a potential biomarker in patients with chronic hepatitis B virus infection, Journal of biomedical science, 25, 1
  14. 2018, Association of C-type lectin 18 levels with extrahepatic manifestations in chronic HCV infection, Scientific Reports, 8, 17287, 10.1038/s41598-018-35774-w · DOI
  15. 2021, Endosomal TLR3 co-receptor CLEC18A enhances host immune response to viral infection, Communications Biology, 4, 229, 10.1038/s42003-021-01745-7 · DOI
  16. 2021, Transgenic expression of human C-type lectin protein CLEC18A reduces dengue virus type 2 infectivity in Aedes aegypti, Frontiers in Immunology, 12, 640367, 10.3389/fimmu.2021.640367 · DOI
  17. 10.1126/science.aat5031 · DOI
  18. Evans, R. , et al., Protein complex prediction with AlphaFold-Multimer. biorxiv, 2021: p. 2021.10. 04.463034.
  19. 2022, ColabFold: making protein folding accessible to all, Nature methods, 19, 679, 10.1038/s41592-022-01488-1 · DOI · Paper page
  20. 10.1074/jbc.RA119.011639 · DOI
  21. Li, Q ., The multiple roles of C-type lectin receptors in cancer. Frontiers in Oncology, 2023. 13. · DOI
  22. 10.1016/j.coi.2014.12.002 · DOI · Paper page
  23. 10.1038/nature07750 · DOI · Paper page
  24. 2012, The C-type lectin receptor CLEC9A mediates antigen uptake and (cross-) presentation by human blood BDCA3+ myeloid dendritic cells, Blood, The Journal of the American Society of Hematology, 119, 2284
  25. 2015, Targeting C-type lectin receptors for cancer immunity, Frontiers in immunology, 6, 146351
  26. 10.1016/j.it.2013.03.001 · DOI
  27. 2024, Characterization of the genetic variation and evolutionary divergence of the CLEC18 family, Journal of Biomedical Science, 31, 53, 10.1186/s12929-024-01034-5 · DOI
  28. 10.1369/0022155419849388 · DOI
  29. 2017, Heparanase: roles in cell survival, extracellular matrix remodelling and the development of kidney disease, Nature Reviews Nephrology, 13, 201, 10.1038/nrneph.2017.6 · DOI
  30. 10.1172/JCI32412 · DOI
  31. 10.1038/s41586-019-1062-1 · DOI · Paper page
  32. Schulz, G.B. , et al. Prognostic value and association with epithelial-mesenchymal transition and molecular subtypes of the proteoglycan biglycan in advanced bladder cancer. in Urologic Oncology: Seminars and Original Investigations. 2019. Elsevier. · DOI
  33. 10.1038/s41418-018-0147-y · DOI
  34. 2021, Evaluation of clear cell, papillary, and chromophobe renal cell carcinoma metastasis sites and association with survival, JAMA network open, 4, e2021869, 10.1001/jamanetworkopen.2020.21869 · DOI
  35. 10.1093/nar/25.17.3389 · DOI · Paper page
  36. 10.1093/nar/gkaa1100 · DOI · Paper page
  37. 10.1093/nar/gkx1095 · DOI
  38. 10.1093/bib/bbn013 · DOI
  39. 10.1093/molbev/msaa015 · DOI · Paper page
  40. 2017, ModelFinder: fast model selection for accurate phylogenetic estimates, Nature methods, 14, 587, 10.1038/nmeth.4285 · DOI · Paper page
  41. 10.1093/molbev/msx281 · DOI · Paper page
  42. 10.1093/sysbio/syq010 · DOI · Paper page
  43. 10.1093/NAR/GKAB301 · DOI
  44. 10.1093/bioinformatics/9.6.745 · DOI
  45. 10.1093/nar/gkab408 · DOI
  46. 10.1093/molbev/msp259 · DOI
  47. 10.1093/NAR/GKAB1061 · DOI · Paper page
  48. 10.1002/PRO.3943 · DOI
  49. Biology, C.S.-C. , et al., CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data. bioRxiv, 2023: p. 2023.10.30.563174.
  50. Megill, C. , et al., Cellxgene: a performant, scalable exploration platform for high dimensional sparse matrices. bioRxiv, 2021: p. 2021.04. 05.438318. · DOI
  51. 2024, Dictionary learning for integrative, multimodal and scalable single-cell analysis, Nature biotechnology, 42, 293, 10.1038/s41587-023-01767-y · DOI · Paper page
  52. 2021, Identification of lectin receptors for conserved SARS-CoV-2 glycosylation sites, The EMBO Journal, 40, e108375, 10.15252/embj.2021108375 · DOI
  53. 2018, apQuant: accurate label-free quantification by quality filtering, Journal of Proteome Research, 18, 535
  54. 2014, Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ, Molecular & cellular proteomics, 13, 2513, 10.1074/mcp.M113.031591 · DOI · Paper page
  55. 10.1073/pnas.2026684118 · DOI
  56. 10.1126/science.aar2131 · DOI · Paper page
  57. Uhlén, M. , et al., Tissue-based map of the human proteome. Science, 2015. 347(6220): p. 1260419. · DOI
  58. 10.1126/scitranslmed.abc0170 · DOI
  59. 10.1371/journal.pone.0010696 · DOI
  60. 10.1038/ng.2699 · DOI
  61. 2022, A targetable myeloid inflammatory state governs disease recurrence in clear-cell renal cell carcinoma, Cancer Discov, 12, 2308, 10.1158/2159-8290.CD-21-0925 · DOI
  62. 2023, Recurrent repeat expansions in human cancer genomes, Nature, 613, 96, 10.1038/s41586-022-05515-1 · DOI
  63. 10.1126/scisignal.2004088 · DOI · Paper page
  64. 10.1371/journal.pone.0004927 · DOI
  65. 10.1093/nar/gkz365 · DOI
  66. 2013, Genome engineering using the CRISPR-Cas9 system, Nature protocols, 8, 2281, 10.1038/nprot.2013.143 · DOI · Paper page
  67. 10.1093/nar/gku936 · DOI · Paper page

Metadata

Authors
Jonsson, G., Hofmann, M., Mereiter, S., Hartley-Tassell, L., Sakic, I., Oliveira, T., Hoffmann, D., Novatchkova, M., Schleiffer, A., & Penninger, J. M.
Affiliations
Institute of Molecular Biotechnology (AT)
Corresponding author
  • Jonsson, Gustav
  • Penninger, Josef M.
Venue
FEBS Journal
Publisher
openRxiv
Published
2024-07-10
Volume
293
Issue
3
Pages
709-728
ISSN
1742-464X (ISSN-L)
OpenAlex
W4413471203
Cited by
1
References
3
Citations by year
2025: 1
FWCI
0.66
Type
journal article
Language
en
Open access
Locations
  • FEBS Journal (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Fundació la Marató de TV3 (202125-31)
  • European Commission (841319, HORIZON2020)
  • Canada Research Chairs (F18‐01336)
  • Österreichischen Akademie der Wissenschaften
  • Bundesministerium für Bildung und Forschung (01KX2324)
  • Austrian Science Fund (ESP 166)
  • Universität Wien
  • Medizinische Universität Wien
  • T. Von Zastrow Foundation
  • H2020 Marie Skłodowska-Curie Actions (841319)
Topics
  • Health Sciences › Medicine › Oncology › Renal cell carcinoma treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
  • Life Sciences › Immunology and Microbiology › Immunology › Galectins and Cancer Biology
Keywords
C-type lectin, clear cell renal cell carcinoma, sulfated glycosaminoglycans, tumor progression, tumor microenvironment, proximal tubule, medial habenula, gene duplication, tumor growth, patient survival
MeSH terms
Animals, Carcinoma, Renal Cell, Glycosaminoglycans, Humans, Kidney Neoplasms, Gene Expression Regulation, Neoplastic, Disease Progression, Lectins, C-Type, Cell Line, Tumor, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review