Liu Jun, He Zhibo, Li Shan, Huang Wenan, Ren Zhongjie
Medical School, Jiujiang University, Jiujiang 332005, China.
School of Literature and Communication, Jiujiang University, Jiujiang 332005, China.
Evid Based Complement Alternat Med. 2021 Aug 21;2021:4341517. doi: 10.1155/2021/4341517. eCollection 2021.
Non-small cell lung cancer (NSCLC) is one of the most malignant tumors worldwide. The main treatment for NSCLC is based on Western medicine; however, the overall effect is unsatisfactory. This study aimed to investigate the potential therapeutic targets and pharmacological mechanisms of action of the traditional Chinese medicine (Thunb.) Pers. in NSCLC based on network pharmacology and bioinformatics. The overlapping genes between (Thunb.) Pers. and NSCLCs were screened using Venn analysis. Cytoscape 3.7.1 software was used to analyze the overlapping target protein-protein interaction (PPI) network. Gene ontology and pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomics database were performed to exploring biological functions of the overlapping genes. The gene expression profiling interactive analysis dataset was used to analyze the correlation between hub gene expression and disease. This study revealed 38 nodes with 191 edges, which may be therapeutic targets for NSCLC. PPI network analysis showed that the most likely association was between the genes and , , and and and . These overlapping genes were mainly enriched in the estrogen signaling pathway, calcium signaling pathway, cholinergic synapse, and PI3K-Akt signaling pathway. mRNA levels were significantly downregulated in patients with lung adenocarcinoma (LUAD) getting worse, and levels were lower in lung squamous cell carcinoma (LUSC) than those in normal tissue. expression was correlated with the median survival time of LUAD, and expression was correlated with the median survival time of LUSC. The application of network pharmacology revealed the potential mechanism underlying the effects of (Thunb.) Pers. in NSCLC treatment and provided a theoretical basis for further in-depth research in this field.
非小细胞肺癌（NSCLC）是全球最具恶性的肿瘤之一。NSCLC的主要治疗方法基于西医；然而，总体效果并不理想。本研究旨在基于网络药理学和生物信息学探讨中药（Thunb.）Pers.在NSCLC中的潜在治疗靶点和药理作用机制。使用Venn分析筛选（Thunb.）Pers.与NSCLC之间的重叠基因。使用Cytoscape 3.7.1软件分析重叠靶蛋白-蛋白质相互作用（PPI）网络。利用京都基因与基因组百科全书数据库进行基因本体和通路富集分析，以探索重叠基因的生物学功能。利用基因表达谱交互式分析数据集分析枢纽基因表达与疾病之间的相关性。本研究揭示了一个具有191条边的38个节点的网络，这些节点可能是NSCLC的治疗靶点。PPI网络分析表明，最可能的关联存在于基因与、、与以及与之间。这些重叠基因主要富集于雌激素信号通路、钙信号通路、胆碱能突触和PI3K-Akt信号通路。在病情恶化的肺腺癌（LUAD）患者中，mRNA水平显著下调，在肺鳞状细胞癌（LUSC）中，水平低于正常组织。表达与LUAD的中位生存时间相关，表达与LUSC的中位生存时间相关。网络药理学的应用揭示了（Thunb.）Pers.在NSCLC治疗中作用的潜在机制，并为该领域的进一步深入研究提供了理论基础。
