详细信息

Network Pharmacology-based Prediction and Verification of Shikonin for Treating Colorectal Cancer  ( SCI-EXPANDED收录)   被引量:1

文献类型:期刊文献

英文题名:Network Pharmacology-based Prediction and Verification of Shikonin for Treating Colorectal Cancer

作者:Wang, Zefeng[1,2];Cui, Qianfei[1];Shi, Ling[2];Zhang, Meiling[3,4];Song, Peng[1,3,4];Duan, Dongzhu[5,6];Guo, Wenjing[3]

第一作者:Wang, Zefeng

通信作者:Song, P[1];Song, P[2];Guo, WJ[2];Duan, DZ[3];Duan, DZ[4]

机构:[1]Gansu Univ Chinese Med, Affiliated Hosp, Lanzhou 730000, Peoples R China;[2]Honghe Univ, Mengzi 661199, Peoples R China;[3]Gansu Univ Chinese Med, Res Ctr Tradit Chinese Med, Lanzhou 730000, Gansu, Peoples R China;[4]Gansu Univ Chinese Med, Key Lab Prevent & Treatment Chron Dis TCM Gansu P, Affiliated Hosp, Lanzhou 730000, Peoples R China;[5]Baoji Univ Arts & Sci, Shanxi Key Lab Phytochem, Baoji 721013, Peoples R China;[6]Baoji Univ Arts & Sci, Coll Chem & Chem Engn, Baoji 721013, Peoples R China

第一机构:甘肃中医药大学第二附属医院

通信机构:[1]corresponding author), Gansu Univ Chinese Med, Affiliated Hosp, Lanzhou 730000, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Res Ctr Tradit Chinese Med, Lanzhou 730000, Gansu, Peoples R China;[3]corresponding author), Baoji Univ Arts & Sci, Shanxi Key Lab Phytochem, Baoji 721013, Peoples R China;[4]corresponding author), Baoji Univ Arts & Sci, Coll Chem & Chem Engn, Baoji 721013, Peoples R China.|[10735]甘肃中医药大学;[10735b845793de6ae2b30]甘肃中医药大学第二附属医院;

年份:2022

卷号:17

期号:3

起止页码:297

外文期刊名:RECENT PATENTS ON ANTI-CANCER DRUG DISCOVERY

收录:;Scopus(收录号:2-s2.0-85132820280);WOS:【SCI-EXPANDED(收录号:WOS:000877328000007)】;

基金:This work was supported by the National Natural Science Foundation of China (81803779); Gansu Province Science Foundation for Distinguished Young Scholars (20JR10RA348) and Gansu Province Science Foundation for B Program (1508RJZA018) from Gansu Provincial Sci. & Tech. Department; the Open Project of Research Center of Traditional Chinese Medicine, Gansu Province (zyzx-2020-zx1); the Innovation Fund Project of Affiliated Hospital of Gansu University of Chinese Medicine (gzfy-2020-8); Gansu Province Health Industry Scientific Research Program Management Project (GWGL2014-53).

语种:英文

外文关键词:Shikonin; colorectal cancer; network pharmacology; target analysis; molecular docking; cell experiments; signaling pathway

摘要:Background: Shikonin (SKN), a naturally occurring naphthoquinone, is a major active chemical component isolated from Lithospermum erythrorhizon Sieb Zucc, Arnebia euchroma (Royle) Johnst, or Arnebia guttata Bungc, and commonly used to treat viral infection, inflammation, and cancer. However, its underlying mechanism has not been elucidated. Objective: This study aims to explore the antitumor mechanism of SKN in colorectal cancer (CRC) through network pharmacology and cell experiments. Methods: SymMap database and Genecards were used to predict the potential targets of SKN and CRC, while the cotargets were obtained by Venn diagram. The cotargets were imported into the website of String and DAVID, constructing the protein-protein interaction (PPI) network, performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, the Compound-Target-Pathway (C-T-P) network was generated by connecting potential pathways with the corresponding targets. Results: According to the results of network pharmacological analysis, the cell experiments were used to verify the key signal pathway. The most relevant target of SKN for the treatment of CRC was PI3K/Akt signaling pathway. SKN inhibited CRC cells (HT29 and HCT116) proliferation, migration, and invasion, and promoted cell apoptosis by targeting IL6 and inhibiting the IL6R/PI31C/Akt signaling pathway. SKN promotes apoptosis and suppresses CRC cells' (HT29 and HCT116) activity through the PI3K-Akt signaling pathway. Conclusion: 'This research not only provided a theoretical and experimental basis for more in-depth studies but also offered an efficient method for the rational utilization of a series of Traditional Chinese medicines as anti-CRC drugs.

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