RESUMO
Aim To explore the mechanism of cryptotanshinone (CTS) against non-small cell lung cancer (NSCLC) by using network pharmacology and bioinformatics methods. Methods Taking CTS as the research object, TCMSP database, SwissTargetPrediction and PharmMapper target prediction platform were used to collect CTS related targets; OMIM database, Gene-Cards data-base and TCGA database were employed to collect NSCLC related targets; String database and Cytoscape software were applied to construct PPI of intersection targets Network diagram, the hub targets were screened out, and AutoDock Vina was used for molecular docking verification; the R language clusterProfiler package was used to perform GO and KEGG enrichment analysis on the intersection targets; Cytoscape software was employed to construct the "CTS intersection targets-KEGG pathway" network. Results As a result, 75 intersecting targets were obtained, mainly involving various biological processes such as signal transduction, phosphorylation and dephosphorylation, apoptosis and vascular regulation, mainly through pancreatic cancer, colorectal cancer, cancer pathways and JAK-STAT signaling pathways. And cellular pathways such as apoptosis and natural killer cell-mediated cytotoxicity exerted their anti-NSCLC effects. Conclusions CTS exerts its anti-NSCLC effect through multiple targets and multiple pathways, which provides the theoretical support for further in-depth research.