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BACKGROUND: Compound kushen injection (CKI), a Chinese patent drug, is widely used in the treatment of various cancers, especially neoplasms of the digestive system. However, the underlying mechanism of CKI in pancreatic cancer (PC) treatment has not been totally elucidated. METHODS: Here, to overcome the limitation of conventional network pharmacology methods with a weak combination with clinical information, this study proposes a network pharmacology approach of integrated bioinformatics that applies a weighted gene co-expression network analysis (WGCNA) to conventional network pharmacology, and then integrates molecular docking technology and biological experiments to verify the results of this network pharmacology analysis. RESULTS: The WGCNA analysis revealed 2 gene modules closely associated with classification, staging and survival status of PC. Further CytoHubba analysis revealed 10 hub genes (NCAPG, BUB1, CDK1, TPX2, DLGAP5, INAVA, MST1R, TMPRSS4, TMEM92 and SFN) associated with the development of PC, and survival analysis found 5 genes (TSPOAP1, ADGRG6, GPR87, FAM111B and MMP28) associated with the prognosis and survival of PC. By integrating these results into the conventional network pharmacology study of CKI treating PC, we found that the mechanism of CKI for PC treatment was related to cell cycle, JAK-STAT, ErbB, PI3K-Akt and mTOR signalling pathways. Finally, we found that CDK1, JAK1, EGFR, MAPK1 and MAPK3 served as core genes regulated by CKI in PC treatment, and were further verified by molecular docking, cell proliferation assay, RT-qPCR and western blot analysis. CONCLUSIONS: Overall, this study suggests that the optimized network pharmacology approach is suitable to explore the molecular mechanism of CKI in the treatment of PC, which provides a reference for further investigating biomarkers for diagnosis and prognosis of PC and even the clinical rational application of CKI.
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OBJECTIVE: To observe the effects of Compound Zhebei Granules (CZG) in chemotherapy for refractory acute leukemia. METHOD: Using a randomized, double-blind and multi-central concurrent control clinical research project, the patients conformed with the diagnostic criteria, according to the drug randomized method, were divided into a CZG group and a control group. The patients of the two groups respectively took the observation drug or a placebo 3 days before chemotherapy, and the therapeutic effects were evaluated after one course of chemotherapy. According to the clinical research project, 137 patients were enrolled, including 71 cases in the CZG group and 66 cases in the control group. RESULTS: The clinical complete remission (CR) rate was 42.3% in the CZG group with a total effective rate of 73.2%, and it was 25.8% in the control group with a total effective rate of 53.0%, showing a statistically significant difference between the two groups (P < 0.05). CONCLUSION: CZG can increase the clinical remission rate for refractory acute leukemia during chemotherapy.
