Respiratory Department, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Medicine (Baltimore). 2024 Mar 1;103(9):e37218. doi: 10.1097/MD.0000000000037218.
Pharmacological studies have found Ginkgo biloba leaves have the effect of inhibiting neoplasms, it is clinically used in treating various neoplasms. However, the mechanism of Ginkgo biloba leaves in treating non-small cell lung cancer (NSCLC) remains unclear.
The active components and corresponding targets of Ginkgo biloba leaves were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) database, and the targets of NSCLC were obtained from the GeneCards, OMIM, TTD, and DrugBank databases. The common targets of NSCLC and Ginkgo biloba leaves were obtained from VENNY 2.1.0. The STRING database was utilized to construct protein-protein intersections, by using the Cytoscape 3.7.1 software, the protein-protein intersection was optimized and the drug-disease network diagram was constructed. The DAVID database was utilized to perform GO and KEGG analysis. Finally, The Autodock Vina software was used to perform molecular docking of core components and targets.
The key components of Ginkgo biloba leaves in treating NSCLC include quercetin, luteolin, and kaempferol, which may act on Tp53, AKT1, and TNF. Bioinformatic annotation analysis results suggest that Ginkgo biloba leaves may implicated in PI3K-AKT and MAPK signaling pathways. The molecular docking results show the firm affinity between key ingredients and targets.
The potential mechanism of Ginkgo biloba leaves in treating NSCLC has been discussed in this study, which provides a theoretical basis for the clinical treatment of NSCLC and further experimental validation.
药理学研究发现银杏叶具有抑制肿瘤的作用，临床上用于治疗各种肿瘤。然而，银杏叶治疗非小细胞肺癌（NSCLC）的机制尚不清楚。
从中药系统药理学数据库和分析平台（TCMSP）数据库中获取银杏叶的活性成分及相应靶点，从 GeneCards、OMIM、TTD 和 DrugBank 数据库中获取 NSCLC 的靶点。从 VENNY 2.1.0 中获取 NSCLC 和银杏叶的共同靶点。利用 STRING 数据库构建蛋白质-蛋白质相互作用网络，使用 Cytoscape 3.7.1 软件对蛋白质-蛋白质相互作用网络进行优化，并构建药物-疾病网络图。利用 DAVID 数据库进行 GO 和 KEGG 分析。最后，使用 Autodock Vina 软件对核心成分和靶点进行分子对接。
银杏叶治疗 NSCLC 的关键成分包括槲皮素、木樨草素和山奈酚，可能作用于 Tp53、AKT1 和 TNF。生物信息学注释分析结果表明，银杏叶可能参与 PI3K-AKT 和 MAPK 信号通路。分子对接结果表明关键成分与靶点之间具有牢固的亲和力。
本研究探讨了银杏叶治疗 NSCLC 的潜在机制，为 NSCLC 的临床治疗提供了理论依据，并进一步验证了实验。
