资源类型:
期刊
WOS体系:
Article
Pubmed体系:
Journal Article
收录情况:
◇ SCIE
文章类型:
论著
机构:
[1]Cancer Institute, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
临床科室
河北省肿瘤研究所
河北医科大学第四医院
ISSN:
1573-4099
摘要:
To provide new methods and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.Traditional Chinese medicine compound Kushen injection (CKI) has been widely used in the clinic with adjuvant radiotherapy and chemotherapy. However, the mechanism of action of CKI as adjuvant therapy for esophageal cancer has not yet been described.This study is based on network pharmacology, data mining, and molecular docking technology to explore the mechanism of action of CKI in the treatment of esophageal cancer. We obtained the effective ingredients and targets of CKI from the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP) and esophageal cancer-related genes from the Online Mendelian Inheritance in Man (OMIM) and GeneCards databases.CKI mainly contains 58 active components. Among them, the top 5 active ingredients are quercetin, luteolin, naringenin, formononetin, and beta-sitostero. The target protein of the active ingredient was matched with the genes associated with esophageal cancer. The active ingredients targeted 187 esophageal cancer target proteins, including AKT1, MAPK1, MAPK3, TP53, HSP90AA1, and other proteins. Then, we enriched and analyzed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) and used AutoDockVina to dock the core targets and compounds. Finally, PyMOL and Ligplot were used for data visualization.This study provides a new method and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.
被引次数:
3
WOS:
WOS:001010124900003
PubmedID:
36635923
中科院分区:
出版当年[2023]版:
大类
|
4 区
医学
小类
|
4 区
药物化学
4 区
计算机:跨学科应用
最新[2025]版:
大类
|
4 区
医学
小类
|
4 区
药物化学
4 区
计算机:跨学科应用
JCR分区:
出版当年[2023]版:
Q3
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Q4
CHEMISTRY, MEDICINAL
最新[2024]版:
Q4
CHEMISTRY, MEDICINAL
Q4
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
影响因子:
1.6
最新[2024版]
1.6
最新五年平均
1.5
出版当年[2023版]
1.5
出版当年五年平均
1.7
出版前一年[2022版]
1.6
出版后一年[2024版]
第一作者:
Guo Dongli
第一作者机构:
[1]Cancer Institute, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
推荐引用方式(GB/T 7714):
Guo Dongli,Jin Jing,Liu Jianghui,et al.Network Pharmacological Study of Compound Kushen Injection in Esophageal Cancer[J].CURRENT COMPUTER-AIDED DRUG DESIGN.2023,19(5):367-381.doi:10.2174/1573409919666230111155954.
APA:
Guo Dongli,Jin Jing,Liu Jianghui,Ren Meng&He Yutong.(2023).Network Pharmacological Study of Compound Kushen Injection in Esophageal Cancer.CURRENT COMPUTER-AIDED DRUG DESIGN,19,(5)
MLA:
Guo Dongli,et al."Network Pharmacological Study of Compound Kushen Injection in Esophageal Cancer".CURRENT COMPUTER-AIDED DRUG DESIGN 19..5(2023):367-381