Evidence map›Paper›PMID 37311820›Full record

ArticleScientific reports2023

Use of network pharmacology and molecular docking to explore the mechanism of action of curcuma in the treatment of osteosarcoma.

Minhua Hu, Hongsong Yan, Haishan Li, Yuanlan Feng, Weipeng Sun, Yueyi Ren, Luyao Ma, Wenxing Zeng, Feng Huang, Ziwei Jiang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 50 citations in OpenAlex.

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  20. Veterinary world · 2025
    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

11 authors at 2 institutions in 1 country.

Minhua HuThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Hongsong YanThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Haishan LiThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuanlan FengThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Weipeng SunThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yueyi RenThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Luyao MaThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wenxing ZengThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Feng HuangThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziwei JiangThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China. jiangziwei1686@gzucm.edu.cn.
Hang DongThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China. donghang5018@gzucm.edu.cn.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Curcuma has been used as an adjuvant treatment for osteosarcoma (OS) due to its anticancer compounds. However, the underlying mechanism remains unclear. Therefore, this study aimed to explore the mechanism of action of curcuma in the treatment of OS using network pharmacology and molecular docking. In this study, anticancer compounds were obtained from relevant literature, and curcuma-related targets and OS treatment targets were obtained from public databases. Protein‒protein interaction networks were constructed to screen out the hub genes using the STRING database and Cytoscape software. Cluster analysis of the protein modules was then performed using the Cytoscape MCODE plugin. Furthermore, Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed for common targets among curcuma targets and OS-related targets using the DAVID database. Finally, molecular docking was performed, and the results were verified by Auto dock Tool and PyMOL software. Our research identified 11 potential active compounds, 141 potential therapeutic targets and 14 hub genes for curcuma. AKT1, TNF, STAT3, EGFR, and HSP90AA1 were the key targets closely related to the PI3K/Akt signaling pathways, HIF-1 signaling pathways, ErbB signaling pathways, and FOXO signaling pathways, which are involved in angiogenesis, cancer cell proliferation, metastasis, invasion, and chemotherapy resistance in the microenvironment of OS. Molecular docking suggested that the core compound had a strong affinity for key targets, with a binding energy of less than - 5 kJ/mol. The study showed that curcuma-mediated treatment of OS was a complex process involving multiple compounds, targets, and pathways. This study will enhance the understanding of how curcuma affects the proliferation and invasion of OS cells and reveal the potential molecular mechanism underlying the effect of curcuma on OS lung metastasis and chemotherapy resistance.

Indexed as

Bone NeoplasmsOsteosarcomaCurcumaMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesTumor MicroenvironmentPhosphatidylinositol 3-Kinases

Identifiers

PMID37311820
PMCPMC10264376
OpenAlexW4380576177

What OpenQuestion holds

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LicenceCC BY
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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.