Mechanism of Marsdenia tenacissima against ovarian cancer based on network pharmacology and experimental verification / 中国中药杂志

The present study aimed to explore the main active components and underlying mechanisms of Marsdenia tenacissima in the treatment of ovarian cancer(OC) through network pharmacology, molecular docking, and in vitro cell experiments. The active components of M. tenacissima were obtained from the literature search, and their potential targets were obtained from SwissTargetPrediction. The OC-related targets were retrieved from Therapeutic Target Database(TTD), Online Mendelian Inheritance in Man(OMIM), GeneCards, and PharmGKB. The common targets of the drug and the disease were screened out by Venn diagram. Cytoscape was used to construct an "active component-target-disease" network, and the core components were screened out according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened out according to the node degree. GO and KEGG enrichment analyses of potential therapeutic targets were carried out with DAVID database. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock. Finally, the anti-OC activity of M. tenacissima extract was verified based on SKOV3 cells in vitro. The PI3K/AKT signaling pathway was selected for in vitro experimental verification according to the results of GO function and KEGG pathway analyses. Network pharmacology results showed that 39 active components, such as kaempferol, 11α-O-benzoyl-12β-O-acetyltenacigenin B, and drevogenin Q, were screened out, involving 25 core targets such as AKT1, VEGFA, and EGFR, and the PI3K-AKT signaling pathway was the main pathway of target protein enrichment. The results of molecular docking also showed that the top ten core components showed good binding affinity to the top ten core targets. The results of in vitro experiments showed that M. tenacissima extract could significantly inhibit the proliferation of OC cells, induce apoptosis of OC cells through the mitochondrial pathway, and down-regulate the expression of proteins related to the PI3K/AKT signaling pathway. This study shows that M. tenacissima has the characteristics of multi-component, multi-target, and multi-pathway synergistic effect in the treatment of OC, which provides a theoretical basis for in-depth research on the material basis, mechanism, and clinical application.

TAB1——Potential Biomarker of Paclitaxel Resistance in Ovarian Cancer Based on Label-Free Quantitative Proteomics / 中国实验方剂学杂志

Objective:To explore the potential targets and related mechanism involved in the paclitaxel resistance to ovarian cancer. Method:Ovarian cancer A2780 cells and A2780 paclitaxel-resistant cells （A2780/T） were treated by 2， 4， 8， 16， 32， 64， 128， 256 μmol·L^-1 paclitaxel （PTX） for 24 h or 48 h respectively <italic>in vitro</italic>. The proliferation rate of A2780 cells and A2780/T cells treated with paclitaxel was determined by methyl thiazolyl tetrazolium （MTT） colorimetric method assay. A2780 and A2780/T cells were analyzed by LC-MS/MS Label-Free quantitative proteomics to identify and screen differentially expressed proteins in the two groups of cells. Gene ontology （GO） annotation and Kyoto encyclopedia of genes and genomes （KEGG） pathway analysis were used to determine the potential biomarkers of paclitaxel resistance in ovarian cancer. Conventionally cultured A2780 cells were used as a control group， and A2780/T cells were treated with 0， 1， 4 μmol·L^-1 PTX. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot methods were used to detect and verify the mRNA and protein expression levels of potential target transforming growth factor-<italic>β</italic>-activated kinase 1 binding protein 1 （TAB1） and its downstream related molecules transforming growth factor-<italic>β</italic>-activated kinase （TAK1） and p38. Result:After PTX treatment for 24 h and 48 h， the cell viability of A2780 and A2780/T cells decreased. The inhibitory rate of PTX on A2780 cells was significantly higher than that of A2780/T cells. In A2780 cells， the IC₅₀ of PTX treatment for 48 h was 0.002 μmol·L^-1， while in A2780/T cells， the IC₅₀of PTX was greater than the maximum concentration of 128 μmol·L^-1， indicating that A2780/T cells were resistant to PTX compared with A2780 cells. 441 differentially expressed proteins and 421 special differentially expressed proteins between A2780/T and A2780 cells were screened by label-free quantitative proteomic analysis. GO function enrichment analysis showed that the binding proteins accounted for the majority （80%） among the differentially expressed proteins. According to the results of KEGG pathway analysis and expression site analysis， TAB1 might be a potential biomarker in paclitaxel-resistant ovarian cancer. Compared with A2780 cells， mRNA and protein expression levels of TAB1 in A2780/T cells were significantly reduced （<italic>P</italic><0.01）. mRNA expression of TAK1 and p38 that interacted with TAB1 were also significantly reduced （<italic>P</italic><0.05， <italic>P</italic><0.01）， while there was no significant change in protein expression. Conclusion:TAB1 may be a potential biomarker of paclitaxel resistance to ovarian cancer ， and its mechanism may be related to the TAB1/TAK1/p38 MAPK pathway.