Li Changyang, Lu Hongxiu, Jiang Xianghu, Guo Xuefeng, Zhong Hua, Li Huijie
First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, China .
Department of Oncology, Xintai Hospital of Traditional Chinese Medicine, Taian, Shandong, 271200, China .
Cell Mol Biol (Noisy-le-grand). 2022 Jan 2;67(4):10-17. doi: 10.14715/cmb/2021.67.4.2.
It has been recognized that Citrus reticulata and Pinellia ternata have a good therapeutic effect on NSCLC. However, the potential mechanism of C. reticulata and P. ternata 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 C. reticulata and P. Ternata were screened from the TCMSP database, and 56 target genes of C. reticulata and P. Ternata 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 C. reticulata and P. Ternata 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.
人们已经认识到,陈皮和半夏对非小细胞肺癌具有良好的治疗效果。然而,基于网络药理学分析,陈皮和半夏治疗非小细胞肺癌的潜在机制尚不清楚。通过Cytoscape构建了“药物-成分-靶点-疾病”网络,并通过STRING构建了蛋白质相互作用(PPI)网络。我们的研究表明,从中药系统药理学数据库(TCMSP)中筛选出陈皮和半夏的18种活性成分,确定了陈皮和半夏治疗非小细胞肺癌的56个靶基因,并构建了“药物-成分-靶点-疾病”网络。在本研究中,我们筛选了56个PPI核心基因以建立PPI网络。我们得出结论,陈皮和半夏对非小细胞肺癌作用的网络药理学机制可能与TP53、ESR1、FOS、NCOA3和MAPK8表达的蛋白质密切相关,这些蛋白质可能通过调节白细胞介素-17信号通路、抗原加工和呈递、癌症中的微小RNA以及内分泌抵抗发挥治疗作用。