Evidence map›Paper›PMID 33145355›Full record

ArticleBioMed research international2020

Exploration in the Mechanism of Kaempferol for the Treatment of Gastric Cancer Based on Network Pharmacology.

Liangjun Yang, Haiwen Li, Maoyi Yang, Weijian Zhang, Mianli Li, Yifei Xu, Jingwei Li, Jianyuan Kang, Jingchao Zhang, Shaoju Guo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Evidence-based complementary and alternative medicine : eCAM · 2022
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  13. Review
  14. A Network Pharmacology to Explore the Mechanism ofBioMed research international · 2021
    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

10 authors at 3 institutions in 1 country.

Liangjun Yang *Department of Gastroenterology, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China.ORCID https://orcid.org/0000-0002-0343-7828
Haiwen Li *Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-4340-9565
Maoyi YangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.ORCID https://orcid.org/0000-0003-3164-8312
Weijian ZhangThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China.ORCID https://orcid.org/0000-0001-5658-6299
Mianli LiThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-0773-3365
Yifei XuShenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-1563-8811
Jingwei LiShenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-1986-0046
Jianyuan KangShenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-1589-1312
Jingchao ZhangShenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0002-2650-4835
Shaoju GuoShenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.ORCID https://orcid.org/0000-0003-4176-5803
Shenzhen Pingle Orthopedic Hospital · CNGuangzhou University of Chinese Medicine · CNTongde Hospital of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKaempferol is a natural polyphenol in lots of Chinese herbs, which has shown promising treatment for gastric cancer (GC). However, the molecular mechanisms of its action have not been systematically revealed yet. In this work, a network pharmacology approach was used to elucidate the potential mechanisms of kaempferol in the treatment of GC.

methodsThe kaempferol was input into the PharmMapper and SwissTargetPrediction database to get its targets, and the targets of GC were obtained by retrieving the Online Mendelian Inheritance in Man (OMIM) database, MalaCards database, Therapeutic Target Database (TTD), and Coolgen database. The molecular docking was performed to assess the interactions between kaempferol and these targets. Next, the overlap targets of kaempferol and GC were identified for GO and KEGG enrichment analyses. Afterward, a protein-protein interaction (PPI) network was constructed to get the hub targets, and the expression and overall survival analysis of the hub target were investigated. Finally, the overall survival (OS) analysis of hub targets was performed using the Kaplan-Meier Plotter online tool.

resultsA total of 990 genes related to GC and 10 overlapping genes were determined through matching the 24 potential targets of kaempferol with disease-associated genes. The result of molecular docking indicated that kaempferol can bind with these hub targets with good binding scores. These targets were further mapped to 140 GO biological process terms and 11 remarkable pathways. In the PPI network analysis, 3 key targets were identified, including ESR1, EGFR, and SRC. The mRNA and protein expression levels of EGFR and SRC were obviously higher in GC tissues. High expression of these targets was related to poor OS in GC patients.

conclusionsThis study provided a novel approach to reveal the therapeutic mechanisms of kaempferol on GC, which will ease the future clinical application of kaempferol in the treatment of GC.

Indexed as

AdenocarcinomaAgedAntineoplastic Agents, PhytogenicBinding SitesDrugs, Chinese HerbalErbB ReceptorsEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaempferolsMaleMiddle AgedMolecular Docking SimulationMolecular Targeted TherapyAntineoplastic Agents, PhytogenicDrugs, Chinese HerbalEGFR protein, humanErbB ReceptorsESR1 protein, humanEstrogen Receptor alphakaempferolKaempferolsNeoplasm Proteinssrc-Family Kinases

Identifiers

PMID33145355
PMCPMC7596434
OpenAlexW3094098228

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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.