Evidence map›Paper›PMID 39342122›Full record

ArticleMolecular medicine (Cambridge, Mass.)2024

Integrating network pharmacology, molecular docking and experimental verification to explore the therapeutic effect and potential mechanism of nomilin against triple-negative breast cancer.

Zhixuan Wu, Haoyi Xiang, Xiaowu Wang, Rongrong Zhang, Yangyang Guo, Liangchen Qu, Jingyao Zhou, Yanyi Xiao

Erratum issuedAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Computational evaluation ofCurrent research in structural biology · 2026
    Article
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  4. Article
  5. Review
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Zhixuan Wu *Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Haoyi Xiang *Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310016, China.
Xiaowu Wang *Department of Burns and Skin Repair Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, 325200, China.
Rongrong Zhang *Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Yangyang GuoZhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Liangchen QuEmergency Department, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 318000, China. 1106083035@qq.com.
Jingyao ZhouPharmacy Department, Taizhou Central Hospital, Taizhou, Zhejiang Province, 318000, China. 15057619295@139.com.
Yanyi XiaoThe Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China. 15967411128@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNomilin is a limonoid compound known for its multiple biological activities, but its role in triple negative breast cancer (TNBC) remains unclear. This study aims to uncover the potential therapeutic effect of nomilin on TNBC and elucidate the specific mechanism of its action.

methodsWe employed weighted gene co-expression network analysis (WGCNA), differential expression analysis, and the GeneCards database to identify potential targets for TNBC. Simultaneously, we utilized the Swiss Target Prediction, ChEMBL, and STITCH databases to identify potential targets of nomilin. The core targets and mechanisms of nomilin against TNBC were predicted through protein-protein interaction (PPI) network analysis, molecular docking, and enrichment analysis. The results of the network pharmacology were corroborated by conducting experiments.

resultsA total of 17,204 TNBC targets were screened, and 301 potential targets of nomilin were identified. Through the PPI network, eight core targets of nomilin against TNBC were pinpointed, namely BCL2, Caspase3, CyclinD1, EGFR, HSP90AA1, KRAS, PARP1, and TNF. Molecular docking, molecular dynamics simulation and proteome microarray revealed that nomilin exhibits strong binding activity to these core proteins. Enrichment analysis results indicated that the anti-TNBC effect of nomilin is associated with PI3K/Akt pathway. In vitro and in vivo experiments have demonstrated that nomilin inhibits TNBC cell proliferation and migration while promoting cell apoptosis through the PI3K/Akt pathway.

conclusionFor the first time, the research effectively discovered the objectives and mechanisms of nomilin in combating TNBC using network pharmacology, molecular docking, molecular dynamics simulation, proteome microarray and experimental confirmation, presenting a hopeful approach for treating TNBC.

Indexed as

Molecular Docking SimulationNetwork PharmacologyProtein Interaction MapsTriple Negative Breast NeoplasmsAnimalsAntineoplastic AgentsApoptosisCell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLimoninsMiceAntineoplastic AgentsLimoninsMolecular dockingNetwork pharmacologyNomilinPI3K/Akt pathwayTriple negative breast cancer

Identifiers

PMID39342122
PMCPMC11439318

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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.