Evidence map›Paper›PMID 40397117›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2025

Exploring the antitumor potential of cucurbitacin B in hepatocellular carcinoma through network pharmacology, molecular docking, and molecular dynamics simulations.

Hongyu Zhang, Baixiu Wu, Liuhua Ke, Xiaoyuan Fan, Liji Huang, Zheng Peng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  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

6 authors.

Hongyu ZhangDepartment of Clinical Laboratory, Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, Third Clinical Faculty of Guangxi University of Chinese Medicine, 6 Honghu Road, Liuzhou, 545000, Guangxi, China. 360328467@qq.com.
Baixiu WuDepartment of Gynecology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Worker's Hospital, Liuzhou, Guangxi, China.
Liuhua KeDepartment of Clinical Laboratory, Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, Third Clinical Faculty of Guangxi University of Chinese Medicine, 6 Honghu Road, Liuzhou, 545000, Guangxi, China.
Xiaoyuan FanDepartment of Clinical Laboratory, Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, Third Clinical Faculty of Guangxi University of Chinese Medicine, 6 Honghu Road, Liuzhou, 545000, Guangxi, China.
Liji HuangDepartment of Clinical Laboratory, Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, Third Clinical Faculty of Guangxi University of Chinese Medicine, 6 Honghu Road, Liuzhou, 545000, Guangxi, China.
Zheng PengDepartment of Clinical Laboratory, Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou Traditional Chinese Medical Hospital, Third Clinical Faculty of Guangxi University of Chinese Medicine, 6 Honghu Road, Liuzhou, 545000, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cucurbitacin B exhibits promising anticancer activity across various cancers; however, its precise mechanism remains unclear. This study integrates network pharmacology, molecular docking, and dynamics simulations to elucidate CuB's multitarget therapeutic mechanisms against HCC. Potential CuB targets were retrieved from CTD, HERB, SwissTargetPrediction, ETCM, and PharmMapper databases. HCC-related genes were sourced from GEO datasets (GSE216613, GSE101685, GSE62232, GSE46408), GeneCard, DisGeNET, OMIM, and TTD. Intersecting targets were analyzed via PPI networks (STRING/Cytoscape), followed by GO/KEGG enrichment (DAVID). Molecular docking (Autodock Vina), ADMET evaluation (ADMETlab 2.0), and molecular dynamics simulations (Amber20) validated interactions. Core targets were further verified using GEPIA, HPA, cBioPortal, and TIMER databases. A total of 139 shared targets were identified between CuB and HCC. Key targets included EGFR, MTOR, MMP9, HSP90AB1, STAT3, and TNF. KEGG pathway analysis revealed significant enrichment in the phosphatidylinositol 3-kinase/protein kinase B (PI3K-Akt) signaling pathway, alongside cancer-related pathways (e.g., lipid metabolism, EGFR tyrosine kinase inhibitor resistance). Molecular docking confirmed strong binding (energy < - 5.0 kcal/mol) between CuB and core targets (e.g., MTOR: - 8.2 kcal/mol; HSP90AB1: - 7.9 kcal/mol). ADMET profiling indicated favorable pharmacokinetic properties, and molecular dynamics simulations demonstrated stable ligand-receptor complexes (RMSD < 2.5 Å). External validation highlighted differential expression (HSP90AB1, TNF) and clinical correlations (CCND1, EGFR) in HCC. CuB exerts antitumor effects in HCC through multitarget modulation, primarily via PI3K-Akt signaling and interactions with EGFR, MTOR, and HSP90AB1. This study provides a mechanistic foundation for CuB's therapeutic potential in HCC, guiding future experimental and clinical investigations.

Indexed as

Antineoplastic Agents, PhytogenicCarcinoma, HepatocellularLiver NeoplasmsTriterpenesHumansMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologySignal TransductionAntineoplastic Agents, Phytogeniccucurbitacin BTriterpenesCucurbitacin BHepatocellular carcinomaMolecular dockingMolecular dynamicsMolecular mechanismNetwork pharmacology

Identifiers

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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.