Evidence map›Paper›PMID 40303931›Full record

ArticleFrontiers in pharmacology2025

Multiscale screening and identifying specific targets for artesunate in suppressing bladder cancer.

Yi Yuan, Guangdi Chu, Qingyue Ma, Zhijuan Liang, Ye Liang, Haitao Niu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yi YuanDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Guangdi ChuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qingyue MaDepartment of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zhijuan LiangKey Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Ye LiangKey Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Haitao NiuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer (BLCA) is a highly aggressive urinary malignancy with high mortality in advanced stages, posing a significant health risk. Artesunate (ART), a derivative of artemisinin, has been demonstrated with potent anti-tumor activity in some studies, yet its specific targets for BLCA and the molecular mechanisms have not been fully elucidated. Purpose: This study screened potential targets of ART against BLCA through network pharmacology, followed by molecular docking simulations and experimental validation Methods: This study identified the critical targets of BLCA and ART by employing multiscale screening from public databases, and a protein-protein interaction (PPI) network was constructed. Molecular docking simulations confirmed the stable binding of ART to the identified tumor-related targets promoting BLCA progression. These computational findings were further validated through experiments Results: Based on network pharmacology analysis, the effects of ART on BLCA were multifaceted. Molecular docking simulations confirmed the binding stability of ART with core targets. The experiments Conclusion: This study identified the mechanism by which ART inhibited BLCA through multiple specific targets, revealing its potential anti-cancer pathways and laying the foundation for the clinical application of traditional Chinese medicine in BLCA therapy.

Indexed as

anti-tumor mechanismartesunatebladder cancermolecular dockingnetwork pharmacology

Identifiers

PMID40303931
PMCPMC12037512

What Socratic holds

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LicenceCC BY
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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 Socratic graph.