Evidence map›Paper›PMID 41424409›Full record

ArticlePathology international2026

Prognostically Significant Glycan Profiles of Clear Cell Renal Cell Carcinoma Identified by Integrated Glycome-Methylome Analysis.

Yoshiko Kitazume, Eri Arai, Mao Fujimoto, Kentaro Ohara, Atsushi Matsuda, Shuichi Kakuda, Hiroyuki Fujimoto, Akiko Miyagi Maeshima, Nobuyoshi Hiraoka, Teruhiko Yoshida and 2 more

Abstract read
In one paragraph

Article in Pathology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

Yoshiko KitazumeDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Eri AraiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Mao FujimotoDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Kentaro OharaDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Atsushi MatsudaDepartment of Biochemistry, Keio University School of Medicine, Tokyo, Japan.
Shuichi KakudaProject for Utilizing Glycans in the Development of Innovative Drug Discovery Technologies, Japan Bioindustry Association, Tokyo, Japan.
Hiroyuki FujimotoDepartment of Urology, National Cancer Center Hospital, Tokyo, Japan.
Akiko Miyagi MaeshimaDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Nobuyoshi HiraokaDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Teruhiko YoshidaDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Atsushi KunoMolecular & Cellular Glycoproteomics Research Group, Cellular & Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
Yae KanaiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7904-9506

Funding

Japan Agency for Medical Research and Development (AMED) JP23ym0126806Japan Society for the Promotion of Science (JSPS) KAKENHI JP22K06947Japan Society for the Promotion of Science (JSPS) KAKENHI JP23K08712Japan Society for the Promotion of Science (JSPS) KAKENHI JP25K10289
6 · The paper itself

Abstract

The aim of this study was to clarify the clinicopathological significance of the glycan profile of clear cell renal cell carcinoma (ccRCC). Comprehensive glycomic analysis and methylome analysis were performed using 50 paired nontumorous renal tissue (N) and tumorous tissue (T) specimens from patients with ccRCC. In comparison to N samples, T samples showed higher signal intensities for lectins recognizing high-mannose glycans and lower intensity for fucose and sialic acid, indicating that N-type glycans remain "immature" in ccRCCs. Hierarchical clustering using the signal intensities of lectins recognizing high-mannose glycans, fucose, and sialic acid divided T samples into Cluster A (n = 32) and Cluster B (n = 18). In Cluster B, the incidence of tumor-related death was higher (p = 0.017) and overall survival was lower (p = 0.019). Moreover, asialo-type glycans and N-acetyllactosamine residues, which are recognized by lectins DSA, ECA, and PHA-E, had an impact on both recurrence-free and overall survival. The expression of glycogenes, such as MGAT1, ST6GAL1, and TUSC3, may be epigenetically regulated. These results suggest that the glycan profile may be at least partly attributable to epigenetic regulation of glycogenes, and that comprehensive glycan profiling could provide clinically useful information for patients with ccRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsPolysaccharidesAdultAgedBiomarkers, TumorFemaleGlycomicsHumansMaleMiddle AgedPrognosisBiomarkers, TumorPolysaccharidesclear cell renal cell carcinomaglycanglycogeneInfinium assaylectin microarray

Identifiers

PMID41424409
PMCPMC12835967

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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.