Evidence map›Paper›PMID 41386866›Full record

ArticleJournal, genetic engineering & biotechnology2025

Investigating the potential anti-cancer mechanism for thyroid cancer: Role of Herba Epimedii via network pharmacology approach.

Xuehan Wang, Lin Guo, Yiren Feng, Gang Jin

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2025. 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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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

4 authors.

Xuehan WangDepartment of Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150000, China.
Lin GuoDepartment of Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150000, China.
Yiren FengDepartment of Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150000, China.
Gang JinDepartment of Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150000, China. Electronic address: jin@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effective ingredients, crucial molecular targets, and the underlying molecular mechanisms associated with Herba Epimedii (HE) that exhibits anti-cancer effects for treating thyroid cancer (TC) using the network pharmacology approach.

methodsThe Traditional Chinese Medicine Systems Pharmacology (TCMSP) public database was analysed to identify the major bioactive ingredients and target proteins associated with HE. The Human Gene (Gene Cards) database, National Center for Biotechnology Information (NCBI) gene database, and Online Mendelian Inheritance in Man (OMIM) databases were analyzed to search for the disease targets of TC. Based on the overlapped results between HE putative targets and TC targets, the "compound-disease-target" network and a protein-protein interaction (PPI) network were constructed using Cytoscape 3.8.0. The R package was used to perform the Gene Ontology (GO) and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses. Finally, the "compound-disease-pathway-target" network was drawn by integrating all the information.

resultsThe results indicated that there were 23 effective bioactive ingredients associated with HE, covering 203 targets, 145 of which were related to TC. Through PPI network topological analysis, 53 targets (including AKT1, JUN, MAPK1, RELA, and IL6) were identified as the major targets of HE. Results recorded from GO functional analyses revealed that significant biological processes were enriched. Results from KEGG analyses revealed that the pathways, such as the TNF, IL-17, and PI3K-Akt signaling pathways, played vital roles in the HE intervention for TC.

conclusionWe revealed the potential mechanisms through which HE exerts anti-cancer effects in the case of TC. A holistic perspective on multiple ingredients, targets, and pathways has been presented, and the results can potentially help in developing new treatment methods for TC.

Indexed as

Chinese medicineHerba epimediiNatural productsNeoplasmsNetwork pharmacologyThyroid cancer

Identifiers

PMID41386866
PMCPMC12663004

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