Evidence map›Paper›PMID 38425392›Full record

ArticleWorld journal of gastrointestinal oncology2024

Identification of anti-gastric cancer effects and molecular mechanisms of resveratrol: From network pharmacology and bioinformatics to experimental validation.

Ying-Qian Ma, Ming Zhang, Zhen-Hua Sun, Hong-Yue Tang, Ying Wang, Jiang-Xue Liu, Zhan-Xue Zhang, Chao Wang

Open access · diamondAbstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Elucidating the Multi-Target Anti-Pruritic Mechanism ofCurrent issues in molecular biology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

8 authors at 1 institution in 1 country.

Ying-Qian MaDepartment of Oncology, Hebei General Hospital, Shijiazhuang 050051, Hebei Province, China.
Ming ZhangDepartment of Oncology, Hebei General Hospital, Shijiazhuang 050051, Hebei Province, China. zhangming096@163.com.
Zhen-Hua SunDepartment of Oncology, Hebei General Hospital, Shijiazhuang 050051, Hebei Province, China.
Hong-Yue TangClinical Medical Research Center, Hebei General Hospital, Shijiazhuang 050051, Hebei Province, China.
Ying WangSchool of Graduate Studies, Hebei Medical University, Shijiazhuang 050017, Hebei Province, China.
Jiang-Xue LiuSchool of Graduate Studies, Hebei Medical University, Shijiazhuang 050017, Hebei Province, China.
Zhan-Xue ZhangDepartment of Gastrointestinal Surgery, Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China.
Chao WangClinical Medical Research Center, Hebei General Hospital, Shijiazhuang 050051, Hebei Province, China.
Hebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the most aggressive malignancies with limited therapeutic options and a poor prognosis. Resveratrol, a non-flavonoid polyphenolic compound found in a variety of Chinese medicinal materials, has shown excellent anti-GC effect. However, its exact mechanisms of action in GC have not been clarified.

aimTo identify the effects of resveratrol on GC progression and explore the related molecular mechanisms.

methodsAction targets of resveratrol and GC-related targets were screened from public databases. The overlapping targets between the two were confirmed using a Venn diagram, and a "Resveratrol-Target-GC" network was constructed using Cytoscape software version 3.9.1. The protein-protein interaction (PPI) network was constructed using STRING database and core targets were identified by PPI network analysis. The Database for Annotation, Visualization and Integrated Discovery database was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. A "Target-Pathway" network was created by using Cytoscape 3.9.1. The RNA and protein expression levels of core target genes were observed using the Cancer Genome Atlas and the Human Protein Atlas databases. DriverDBv3 and Timer2.0 databases were used for survival and immune infiltration analysis. Subsequently, the findings were further verified by molecular docking technology and

resultsA total of 378 resveratrol action targets and 2154 GC disease targets were obtained from public databases, and 181 intersection targets between the two were screened by Venn diagram. The top 20 core targets were identified by PPI network analysis of the overlapping targets. GO function analysis mainly involved protein binding, identical protein binding, cytoplasm, nucleus, negative regulation of apoptotic process and response to xenobiotic stimulus. KEGG enrichment analysis suggested that the involved signaling pathways mainly included PI3K-AKT signaling pathway, MAPK signaling pathway, IL-17 signaling pathway, TNF signaling pathway, ErbB signaling pathway,

conclusionThe anti-GC effects of resveratrol are related to the inhibition of cell proliferation, migration, invasion and induction of cell cycle arrest and apoptosis by targeting FOS and MMP9.

Indexed as

BioinformaticsGastric cancerMolecular dockingNetwork pharmacologyResveratrol

Identifiers

PMID38425392
PMCPMC10900166
OpenAlexW4391477729

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.