Evidence map›Paper›PMID 41114794›Full record

ArticleVirchows Archiv : an international journal of pathology2026

Spatial transcriptomic analysis of foveolar-type gastric adenoma with raspberry-like appearance.

Sohei Kitazawa, Eiji Takeshita, Hideomi Tomida, Teruki Miyake, Yoshio Ikeda, Seiya Bekku, Ryuma Haraguchi, Yuki Takaoka, Teruyuki Ohno, Mashio Taniwaki and 2 more

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Sohei KitazawaDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan. kitazawa@m.ehime-u.ac.jp.ORCID http://orcid.org/0000-0002-7466-7356
Eiji TakeshitaDepartment of Inflammatory Bowel Diseases and Therapeutics, Ehime University Graduate School of Medicine, Toon, Japan.
Hideomi TomidaEndoscopy Center, Ehime University Hospital, Toon, Japan.
Teruki MiyakeDepartment of Lifestyle-Related Medicine and Endocrinology, Ehime University Graduate School of Medicine, Toon, Japan.
Yoshio IkedaDepartment of Inflammatory Bowel Diseases and Therapeutics, Ehime University Graduate School of Medicine, Toon, Japan.
Seiya BekkuDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Ryuma HaraguchiDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Yuki TakaokaDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Teruyuki OhnoDivision of Diagnostic Pathology, Ehime University Hospital, Toon, Japan.
Mashio TaniwakiDivision of Diagnostic Pathology, Ehime University Hospital, Toon, Japan.
Yoichi HiasaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan.
Riko KitazawaDivision of Diagnostic Pathology, Ehime University Hospital, Toon, Japan.

Funding

Japan Society for the Promotion of Science JP22K06981Japan Society for the Promotion of Science JP 24K02251NOVARTIS Foundation (Japan) for the Promotion of Science JP 24K10000
6 · The paper itself

Abstract

Foveolar-type gastric adenoma with raspberry-like appearance (FGA-RA) is a rare subtype of Helicobacter pylori-naïve gastric neoplasm characterized by its small, reddish, polypoid morphology. This study aimed to clarify the molecular basis of its epithelial phenotype and the superficial capillary proliferation characteristic of FGA-RA's reddish appearance by examining alterations in mucin gene expression and angiogenesis-related pathways using spatial transcriptomic profiling and immunohistochemistry. Formalin-fixed, paraffin-embedded tissue from a representative case of FGA-RA was analyzed using the Visium spatial transcriptomics platform (10 × Genomics). Spatial gene mapping revealed diffuse MUC5AC expression throughout the tumor epithelium, consistent with a foveolar phenotype. Notably, MUC17-typically restricted to intestinal enterocytes-was aberrantly coexpressed with MUC5AC in the superficial tumor layer, while MUC2 was absent, suggesting skewed differentiation toward absorptive enterocytes without goblet cell lineage. To validate these findings, immunohistochemical staining for MUC5AC and MUC17 was performed on six biopsy specimens from genetically validated FGA-RA cases harboring the characteristic KLF4 mutation, five of which showed overlapping superficial expression of both MUC5AC and MUC17. Spatial transcriptomic analysis also demonstrated elevated VEGFA expression in tumor and inflammatory cells, and FLT1 expression in superficial stromal endothelial cells. This expression pattern correlated with vascular markers and may contribute to the prominent capillary proliferation seen in FGA-RA. FGA-RA exhibits a distinctive mucin profile reflecting incomplete intestinal differentiation due to KLF4 dysfunction. The characteristic raspberry-like morphology may be a consequence of VEGF-driven angiogenesis induced by chronic stimulation of a superficially compromised epithelium, suggesting that this unique appearance arises from sequential epithelial and stromal alterations orchestrated by KLF4 mutation.

Indexed as

AdenomaBiomarkers, TumorStomach NeoplasmsAgedFemaleGene Expression ProfilingHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMaleMiddle AgedMucin 5ACMucinsMutationNeovascularization, PathologicTranscriptomeBiomarkers, TumorKLF4 protein, humanKruppel-Like Factor 4Kruppel-Like Transcription FactorsMUC5AC protein, humanMucin 5ACMucinsGastric adenomaImmunohistochemistryKLF4Spatial transcriptome

Identifiers

PMID41114794
PMCPMC12963122

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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.