Evidence map›Paper›PMID 38443785›Full record

ArticleThe Journal of international medical research2024

The potential mechanism of ursolic acid in the treatment of bladder cancer based on network pharmacology and molecular docking.

Xiao-Long Huang, Yan Sun, Peng Wen, Jun-Cheng Pan, Wei-Yang He

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Xiao-Long HuangDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0001-8187-2289
Yan SunDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peng WenDepartment of Urology, People's Hospital of Hechuan, Chongqing, China.
Jun-Cheng PanDepartment of Urology, People's Hospital of Hechuan, Chongqing, China.
Wei-Yang HeDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
People's Hospital of Bishan District · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explored the potential molecular mechanisms of ursolic acid (UA) in bladder cancer treatment using network pharmacology and molecular docking.

methodsThe Traditional Chinese Medicine Systems Pharmacology and UniProt databases were used to screen potential targets of UA. Relevant bladder cancer target genes were extracted using the GeneCards database. All data were pooled and intercrossed to obtain common target genes of UA and bladder cancer. Gene Ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed. Molecular docking was conducted to verify the possible binding conformation between UA and bladder cancer cells. Then,

resultsUA exerts anti-tumor effects on bladder cancer through multiple targets and pathways. Molecular docking indicated that UA undergoes stable binding with the proteins encoded by the top six core genes (

conclusionsOur study illustrated the potential mechanism of UA in bladder cancer based on network pharmacology and molecular docking. The results will provide scientific references for follow-up studies and clinical treatment.

Indexed as

Urinary Bladder NeoplasmsUrsolic AcidHumansMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesUrsolic Acidbioinformaticsbladder cancermechanismmolecular dockingNetwork pharmacologyursolic acid

Identifiers

PMID38443785
PMCPMC10916484
OpenAlexW4392515462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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 OpenQuestion graph.