Hepatocellular carcinoma (HCC) is a highly aggressive and lethal neoplasm with poor prognosis. The aim of this study is to investigate the anticancer activity of cinobufotalin, a bufadienolide isolated from toad venom, in cultured HCC cells, and to study the underlying mechanisms. We found that cinobufotalin (at nmol/L) significantly inhibited HCC cell growth and survival while inducing considerable cell apoptosis. Further, cinobufotalin inhibited sphingosine kinase 1 (SphK1) activity and induced pro-apoptotic ceramide production. Ceramide synthase-1 small hairpin RNA (shRNA)-depletion inhibited cinobufotalin-induced ceramide production and HCC cell apoptosis. On the other hand, the glucosylceramide synthase (GCS) inhibitor 1-phenyl-2-decanoylamino-3-morpholino-1-propanol (PDMP) facilitated cinobufotalin-induced ceramide production and cell apoptosis. SphK1 inhibitor II (SKI-II), similar to cinobufotalin, increased cellular ceramide level and promoted HCC cell apoptosis. Finally, we observed that cinobufotalin inactivated Akt-S6K1 signaling in HepG2 cells, which was again inhibited by ceramide synthase-1 shRNA-depletion. In conclusion, the results of this study suggest that cinobufotalin induces growth inhibition and apoptosis in cultured HCC cells through ceramide production. Cinobufotalin may be investigated as a novel anti-HCC agent.

The radar interference effect evaluation method is a research hotspot in the field of radar countermeasures. In a complex battlefield environment, the assessment of interference effects by a single indicator usually does not reflect the actual state of the battlefield. Aiming at the complexity of radar interference evaluation on modern battlefields, this paper combines the effects of suppressive interference evaluation and deceptive interference, and uses neural network method to evaluate the composite interference effect. Firstly, the related knowledge of neural network and BP neural network is introduced. Then an interference effect evaluation model based on BP neural network is established. Finally, the simulation model is used for simulation analysis.