Evidence map›Paper›PMID 38680615›Full record

ArticleEvolutionary bioinformatics online2024

HNF4A-Bridging the Gap Between Intestinal Metaplasia and Gastric Cancer.

Yihang Zhao, Hong Tang, Jianhua Xu, Feifei Sun, Yuanyuan Zhao, Yang Li

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Yihang ZhaoDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0002-1437-5933
Hong TangDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jianhua XuDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Feifei SunDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yuanyuan ZhaoDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yang LiDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intestinal metaplasia (IM) of gastric epithelium has traditionally been regarded as an irreversible stage in the process of the Correa cascade. Exploring the potential molecular mechanism of IM is significant for effective gastric cancer prevention. Methods: The GSE78523 dataset, obtained from the Gene Expression Omnibus (GEO) database, was analyzed using RStudio software to identify the differently expressed genes (DEGs) between IM tissues and normal gastric epithelial tissues. Subsequently, gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Gene Set Enrichment Analysis (GESA), and protein-protein interaction (PPI) analysis were used to find potential genes. Additionally, the screened genes were analyzed for clinical, immunological, and genetic correlation aspects using single gene clinical correlation analysis (UALCAN), Tumor-Immune System Interactions Database (TISIDB), and validated through western blot experiments. Results: Enrichment analysis showed that the lipid metabolic pathway was significantly associated with IM tissues and the apolipoprotein B ( Conclusion: Our findings indicate that

Indexed as

APOBgastric cancerHNF4AIntestinal metaplasialipid metabolism

Identifiers

PMID38680615
PMCPMC11047246

What OpenQuestion holds

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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.