Abstract:Objective: Data mining, network pharmacology and molecular docking methods were used to explore the medication rule and core Chinese medicine of Chinese herbal compound in the treatment of lung cancer, and to provide effective prescription medication reference for clinical treatment of lung cancer. Methods: Excel2019 was used to collect and sort out commonly used Traditional Chinese medicine compounds for clinical treatment of lung cancer, and screen effective compounds. Through the traditional Chinese Medicine inheritance assistance platform (V2.5), SPSS Modeler 18.0, SPSS Statistics 25 and Cytoscape3.6, the distribution of syndrome type, drug frequency, core drug combination and drug association rules of patients were analyzed, and the core TCM was obtained. The effective components, drug targets and disease targets were collected by using TCMSP, Genecards, CTD and other databases of core TCM and the intersection was obtained. The network of "TCM - compound - target - disease" was constructed through Cytoscape3.9.0, the protein interaction network was constructed through String platform and visually-driven bioinformatics analysis website, and finally the gene ontology, GO) and The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, the molecular docking of important compounds and key targets was performed based on the above analysis results; Results: 407 effective prescriptions were screened, involving 324 traditional Chinese medicines. The highest frequency of drug use was glycyrrhiza glycyrrhiza, Poria cocos, Atractylodes atractylodes, Tangerine peel, Pinellia pinellia, Astragalus membranaceus, Codonopsis pilosula, Thunberg Fritillary bulb, Hedyotis willd and Coix seed. In the diagnosis of TCM syndromes of lung cancer, the combination of phlegm and blood stasis (45.99%), the main treatment methods (28.99%, 29.25%) were eliminating phlegm and disperding knot, detoxifying and anticancer drugs, and the main TCM drugs were deficiency tonic drugs (32.69%). The statistical results of taste and sex were temperature (41.39%). Bitter taste (45.5%), lung meridian (25.82%); Association rule showed that fuling - Pinellia, Poria cocos, Pinellia - Atractylodes atractylodes, Poria cocos, Thunberg fritillaria - Pinellia - Atractylodes atractylodes were the combinations with the highest support degree in the same group. The core drugs in the complex network were Codonopsis pilosula, Poria cocos, Atractylodes atractylodes, Tangerine peel, Fritillaria thunbergii, Astragalus membranaceus and glycyrrhiza. The core traditional Chinese medicines are Atractylodes macrocephala, Poria cohoe, Pinellia ternata and Fritillaria thunbergii. A total of 89 targets were obtained by network pharmacology. The main effective components of core Chinese medicines were 12-li photoacyl-8-trans atractylodes triol, 14-acetyl coryl-8-trans atractylodes triol, β -sitosterol, etc. The important targets were AKT1, EGFR, TP53, etc. The enrichment results of GO molecular function showed that it may be mainly related to RNA polymerase II transcriptional regulation, cell reaction to chemical pressure, and metal ion reaction. KEGG pathway enrichment analysis showed that the key pathways were enriched in TUMOR necrosis factor signaling pathway, platinum resistance pathway, and IL-17 signaling pathway. The docking energy between key targets and important compounds is less than 0kJ/mol, and the docking conformation is stable. Conclusion: Anti-lung cancer traditional Chinese medicine in the real world is mainly bitter in taste, warm in nature, flat, cold and tonic for deficiency. In view of the pathogenesis of lung cancer, qi deficiency, blood stasis, phlegm and evil poison enter, and achieve the therapeutic effect by supplementing qi, helping Yang, clearing heat, detoxifying and eliminating fire. Based on the data mining method to study the drug use rule of lung cancer treatment in the real world, the core prescription includes Codonopsis pilosula, Poria cocos, Atractylodes atractylodes, tangerine peel, Fritillaria thunbergii, Astragalus membranaceus, glycyrrhiza, and its modern pharmacological effects are mainly anti-cancer cell proliferation, antibacterial, immunosuppression, etc. In the treatment of lung cancer, atractylodes macrocephala, Poria cochus, Pinellia ternata and Fritillaria thunbergii are particularly important, which can be used as the core Chinese medicine in the treatment of lung cancer. In summary, this is the drug use law and characteristics of Chinese medicine compound in the real world in the treatment of lung cancer. Core Chinese medicine in the treatment of lung cancer mainly regulates tumor necrosis factor signaling pathway, platinum resistance pathway and IL-17 signaling pathway through multi-components and multi-targets, which has certain guiding significance for the clinical study of Chinese medicine in the treatment of lung cancer.