Objective: Network pharmacology is an emerging discipline that applies computational methods to understand drug actions and interactions with multiple molecular targets. Xiao'ai Jiedu is a valued traditional Chinese medicine preparation for which the mechanism of action is not yet established. This study aims to explore the mechanism of Xiao'ai Jiedu in treating lung cancer through network pharmacology.
Methods: First, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) data platform was used to analyze the target treatment results of different medicinal materials in Mr. Zhou's cancer prescriptions. Then, functional enrichment analysis was performed to conduct a secondary analysis of the dissemination of cancer biological and pharmacological information in the human body. The Cancer Genome Atlas (TCGA) was used to obtain several cancer-aggressive target groups, and their transcription RNA was extracted for collection. The CIBERSORT evaluation method was used to conduct a Spearman correlation analysis on the data processing results. Then the matching degree between the experimental cells and the principle of drug treatment was analyzed to improve the statistical analysis.
Results: Pharmacology research results showed that the network can accurately eliminate cancer detoxification targeted target correlation set, and through the data interpretation found that four different gene transcription have significant influence on lung cancer. The findings also confirmed that the degree of immune cell infiltration has a key role in lung cancer The study summarizes the active ingredients and their targets and mechanisms of action of the elimination of Xiao'ai Jiedu formula for the treatment of lung cancer.
Conclusion: Network pharmacology can carry on the processing of the data, find the key to conform to the goal of research data, and the corresponding results are obtained, and the development of network pharmacology is not limited to, the study of lung cancer.