Evidence map›Paper›PMID 41492114›Full record

ArticleAnnals of surgical oncology2026

Single-Cell Transcriptomics Reveals Key Factors in Gastric Intestinal Metaplasia.

Yingxia Li, Libin Jiang, Mingxia Zhou, Bo Xiao, Yali Liu, Zhichao Li, Hongtao Wen

Abstract read
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In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Yingxia LiDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Libin JiangDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Mingxia ZhouDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bo XiaoDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yali LiuDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhichao LiGeriatric Endocrinology Unit, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, China. zhichaoli2016@163.com.
Hongtao WenDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. wenht0918@163.com.

Funding

Hongtao Wen DevelopmentHongtao Wen Promotion proHongtao Wen The Key Research
6 · The paper itself

Abstract

backgroundGastric cancer is among the deadliest cancers worldwide, and gastric intestinal metaplasia is a key precancerous phase. Understanding the molecular drivers of abnormal proliferation in intestinal metaplasia (IM) is vital for identifying biomarkers and therapeutic targets. MATERIALS AND

methodsUsing single-cell RNA sequencing, we characterized the cellular and molecular dynamics of gastric epithelial tissues across disease stages: control, chronic superficial gastritis, and IM.

resultsWe identified nine cell types, predominantly epithelial cells, that exhibited increased proliferation with disease progression, suggesting their role in early gastric carcinogenesis. Notably, the regulatory gene TFF3 was significantly upregulated in IM-associated goblet cells (log

conclusionsThese findings suggest that TFF3 may drive the early stages of gastric cancer, although the precise regulatory mechanisms involved remain to be fully elucidated. Additionally, this research may provide valuable insights into the mechanisms underlying other precancerous lesions and related malignancies.

Indexed as

Biomarkers, TumorGastric MucosaGastritisMetaplasiaPrecancerous ConditionsSingle-Cell AnalysisStomach NeoplasmsTranscriptomeTrefoil Factor-3Cell ProliferationDNA Copy Number VariationsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorTFF3 protein, humanTrefoil Factor-3Chronic superficial gastritisEpithelial cellIntestinal metaplasiaSingle-cell sequencingTrefoil factor family 3

Identifiers

PMID41492114

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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.