Evidence map›Paper›PMID 41533196›Full record

ArticleDiscover oncology2026

Using transcriptomics and molecular docking to uncover the pharmacological targets and its associated biological mechanisms of paeoniflorigenone in treating bladder cancer.

Tianyu Ge, Feng Liu, Menghui Cai, Juan Wu, Cui Zhang

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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tianyu GeDepartment of Pathophysiology, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, 241002, China.
Feng LiuDepartment of Urology, Macheng City People's Hospital, Macheng, 438300, China.
Menghui CaiDepartment of Urology, Shishou People's Hospital, Shishou, 434400, China.
Juan WuDepartment of Pathophysiology, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, 241002, China.
Cui ZhangDepartment of Pathophysiology, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, 241002, China. zhangcui10@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPaeoniflorigenone (PAG) is a bioactive compound found in the root of moutan cortex. It has demonstrated anti-cancer effects, although the specific mechanism of action remains unclear. The objective of this study was to investigate the pharmacological mechanisms of PAG in the treatment of bladder cancer using transcriptomics and molecular docking.

methodPAG-associated targets were gathered using SuperPred, SEA, SwissTargetPrediction, and PharmMapper. Bladder cancer-related targets were obtained from TCGA databases. The intersection of drug-disease targets was determined using the Venny tool. Metascape database was employed for GO and KEGG enrichment analysis of the common targets in drug-disease interaction. The STRING database and Cytoscape 3.9.0 were utilized to construct a PPI network of the overlapping targets. Molecular docking analysis was performed using AutoDockTools. Further analysis of the core targets was carried out using TCGA, HPA, Kaplan-Meier Plotter, and TIMER databases.

resultsA total of 50 potential targets for the treatment of bladder cancer by PAG were found, and among them, MMP1, MMP7, MMP9, MMP13, MMP14, JUN, TGFBR2, PRSS1, and TOP2A were determined as the core targets. KEGG and GO analysis results indicated that PAG treatment primarily involves response to oxidative stress, MAPK signaling pathway, and IL-17 signaling pathway in bladder cancer. Molecular docking results demonstrated that the binding energies between PAG and the core targets were all below - 5 kJ/mol, indicating a spontaneous binding of PAG to the core targets. These findings were further confirmed through analysis of mRNA expression levels, protein expression levels, prognostic values, and immune infiltration.

conclusionIt was initially discovered that PAG exerts its therapeutic effects on bladder cancer by targeting multiple pathways and multiple targets. This finding will enhance our comprehension of the potential mechanism by which PAG combats bladder cancer, and it will serve as a theoretical foundation for future research endeavors.

Indexed as

BioinformaticsBladder cancerMolecular dockingPaeonia lactifloraPaeoniflorigenoneTCGA

Identifiers

PMID41533196
PMCPMC12886612

What Socratic 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 Socratic graph.