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Curcumin for gastric cancer: Mechanism prediction via network pharmacology, docking, and in vitro experiments.
Yang, Peng-Hui; Wei, Ya-Nan; Xiao, Bi-Juan; Li, Si-Yi; Li, Xin-Long; Yang, Liang-Jun; Pan, Hua-Feng; Chen, Geng-Xin.
Afiliação
  • Yang PH; The Second School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China.
  • Wei YN; The Second School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China.
  • Xiao BJ; Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China.
  • Li SY; Department of Traditional Chinese Medicine, The People's Hospital of Longhua, Shenzhen 518109, Guangdong Province, China.
  • Li XL; Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China.
  • Yang LJ; Department of Gastroenterology, Tongde Hospital of Zhejiang Province, Hangzhou 310012, Zhejiang Province, China.
  • Pan HF; Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China.
  • Chen GX; Centre for Translational Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China. gxchen@gzucm.edu.cn.
World J Gastrointest Oncol ; 16(8): 3635-3650, 2024 Aug 15.
Article em En | MEDLINE | ID: mdl-39171177
ABSTRACT

BACKGROUND:

Curcumin originates from the natural herb turmeric, and its antitumor effects have been known about for a long time. However, the mechanism by which curcumin affects gastric cancer (GC) has not been elucidated.

AIM:

To elucidate the potential mechanisms of curcumin in the treatment of GC.

METHODS:

Network pharmacological approaches were used to perform network analysis of Curcumin. We first analyzed Lipinski's Rule of Five for the use of Curcumin. Curcumin latent targets were predicted using the PharmMapper, SwissTargetPrediction and DrugBank network databases. GC disease targets were mined through the GeneCard, OMIM, DrugBank and TTD network databases. Then, GO enrichment, KEGG enrichment, protein-protein interaction (PPI), and overall survival analyses were performed. The results were further verified through molecular docking, differential expression analysis and cell experiments.

RESULTS:

We identified a total of 48 curcumin-related genes with 31 overlapping GC-related targets. The intersection targets between curcumin and GC have been enriched in 81 GO biological processes and 22 significant pathways. Following PPI analysis, 6 hub targets were identified, namely, estrogen receptor 1 (ESR1), epidermal growth factor receptor (EGFR), cytochrome P450 family 3 subfamily A member 4 (CYP3A4), mitogen-activated protein kinase 14 (MAPK14), cytochrome P450 family 1 subfamily A member 2 (CYP1A2), and cytochrome p450 family 2 subfamily B member 6 (CYP2B6). These factors are correlated with decreased survival rates among patients diagnosed with GC. Molecular docking analysis further substantiated the strong binding interactions between Curcumin and the hub target genes. The experimental findings demonstrated that curcumin not only effectively inhibits the growth of BGC-823 cells but also suppresses their proliferation. mRNA levels of hub targets CYP3A4, MAPK14, CYP1A2, and CYP2B6 in BGC-823 cells were significantly increased in each dose group.

CONCLUSION:

Curcumin can play an anti-GC role through a variety of targets, pathways and biological processes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article