Evidence map›Paper›PMID 41325388›Full record

ArticlePloS one2025

Investigating the mechanism of oridonin against triple-negative breast cancer based on network pharmacology and molecular docking.

Yuan Zhao, Song Lan, Xinyu Li, Yimin Deng, Limei Sun, Diping Yu

Abstract read
In one paragraph

Article in PloS one, 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Yuan ZhaoThe Thyroid Gland and Breast Surgery, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.
Song LanDepartment of Pathology, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.
Xinyu LiDepartment of Pathology, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.
Yimin DengDepartment of Pathology, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.
Limei SunDepartment of Respiratory and Critical Care Medicine, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.
Diping YuDepartment of Pathology, Pu'er People's Hospital, Puer, Yunnan, People's Republic China.ORCID https://orcid.org/0009-0006-2412-2514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oridonin, a tetracyclic diterpenoid from Rabdosia rubescens (Hemsl.) Hara, exhibits various pharmacological actions, such as anti-tumor, anti-infective, and anti-inflammatory properties. However, the underlying pharmacological effects of oridonin on triple-negative breast cancer (TNBC) are yet to be elucidated. This study aims to examine the molecular mechanism and pharmacological impact of oridonin on TNBC using a network pharmacological strategy. Initially, the pharmacological databases and analysis platforms were employed to identify the potential targets of oridonin using the GeneCards website. The process of standardizing gene names involved the conversion of all target genes using the UniProt database. The acquired data was subjected to identify prevalent target genes. Then, these genes were examined using the STRING website to create a protein-protein interaction (PPI) network. In addition to Gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, a molecular docking analysis was conducted to validate the binding conformation between oridonin and the putative target genes. Among the selected 549 genes, 106 genes were found to interact with TNBC. The KEGG study suggested that the underlying mechanism could potentially be linked to the PI3K/Akt signaling pathway and proteoglycans in cancer. Moreover, molecular docking studies indicated that oridonin exhibited the strongest binding affinity with AKT1 (binding energy: -11.40 kcal/mol) and significant associations with other major targets, including EGFR, NFKB1, MAPK1, and SRC. In summary, the resultant findings based on molecular docking and network pharmacology could demonstrate the potential applicability of oridonin for treating TNBC through pathways like PI3K/Akt signaling.

Indexed as

Antineoplastic Agents, PhytogenicDiterpenes, KauraneMolecular Docking SimulationTriple Negative Breast NeoplasmsFemaleGene OntologyHumansNetwork PharmacologyProtein Interaction MapsProto-Oncogene Proteins c-aktSignal TransductionAntineoplastic Agents, PhytogenicDiterpenes, KauraneoridoninProto-Oncogene Proteins c-akt

Identifiers

PMID41325388
PMCPMC12668475

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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.