@article{Li_Lu_Jiang_Guo_Zhong_Li_2022, title={Network pharmacology study of Citrus reticulata and Pinellia ternata in the treatment of non-small cell lung cancer}, volume={67}, url={https://cellmolbiol.org/index.php/CMB/article/view/4032}, DOI={10.14715/cmb/2021.67.4.2}, abstractNote={<p>It has been recognized that <em>Citrus reticulata</em> and <em>Pinellia ternata</em> have a good therapeutic effect on NSCLC. However, the potential mechanism of <em>C. reticulata</em> and <em>P. ternata</em> in the treatment of NSCLC based on network pharmacology analysis is not clear. The “Drug-Component-Target-Disease” network was constructed by Cytoscape, and the protein interaction (PPI) network was constructed by STRING. Our study indicated that 18 active ingredients of <em>C. reticulata</em> and <em>P. Ternata</em> were screened from the TCMSP database, and 56 target genes of <em>C. reticulata</em> and <em>P. Ternata</em> for the treatment of NSCLC were identified, and we constructed the “Drug-Component-Target-Disease” network. In this study, we screened 56 PPI core genes to establish a PPI network. We concluded that the network pharmacology mechanism of the effect of <em>C. reticulata</em> and <em>P. Ternata</em>  on NSCLC may be closely related to the protein expressed by TP53, ESR1, FOS, NCOA3 and MAPK8, and these may play the therapeutic roles by regulating the IL-17 signaling pathway, antigen processing and presentation, microRNAs in cancer and endocrine resistance.</p>}, number={4}, journal={Cellular and Molecular Biology}, author={Li, Changyang and Lu, Hongxiu and Jiang, Xianghu and Guo, Xuefeng and Zhong, Hua and Li, Huijie}, year={2022}, month={Jan.}, pages={10–17} }