Evidence map›Paper›PMID 41810321›Full record

ArticleActa histochemica et cytochemica2026

Role of MeCP2 in Shaping the Histopathological Heterogeneity of Ampullary Carcinoma.

Teruyuki Ohno, Riko Kitazawa, Ryuma Haraguchi, Mashio Taniwaki, Yuki Takaoka, Keiko Hiraki-Kamon, Hidemasa Kato, Sohei Kitazawa

Abstract read
In one paragraph

Article in Acta histochemica et cytochemica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Teruyuki OhnoDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Riko KitazawaDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Ryuma HaraguchiDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Mashio TaniwakiDivision of Diagnostic Pathology, Ehime University Hospital, Toon, Ehime, Japan.
Yuki TakaokaDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Keiko Hiraki-KamonDepartment of Developmental Biology and Functional Genomics, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Hidemasa KatoDepartment of Developmental Biology and Functional Genomics, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.
Sohei KitazawaDepartment of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ampullary carcinoma exhibits marked histological heterogeneity. Although genetic alterations partially account for this diversity, the contribution of epigenetic regulation remains largely unexplored. To elucidate the epigenetic alterations underlying this phenotypic heterogeneity, we investigated methyl-CpG-binding protein 2 (MeCP2) and its downstream target CDX2, and versican (VCAN), a major extracellular matrix proteoglycan implicated in tissue remodeling and tumor-stroma interactions. Seventeen surgically resected cases were analyzed using an integrative approach combining immunohistochemistry, spatial transcriptomics, methylation mapping, electrophoretic mobility shift assays (EMSA), and bioinformatic profiling. In non-neoplastic mucosa, MeCP2 and CDX2 showed reciprocal nuclear expression, a relationship partially preserved in differentiated adenocarcinomas. Spatial transcriptomics identified

Indexed as

ampullary cancercancer-associated fibroblastsMeCP2methylationversican

Identifiers

PMID41810321
PMCPMC12971181

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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.