College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Key Laboratory of Brain Functional Genomics (East China Normal University), Ministry of Education, School of Life Sciences, East China Normal University, Shanghai, 200062, China.
BMC Complement Med Ther. 2021 Oct 18;21(1):263. doi: 10.1186/s12906-021-03425-9.
Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death. Traditional Chinese medicine (TCM) has special advantages in relieving HCC, while Astragalus membranaceus is commonly used in TCM treatment. However, its underlying mechanisms for treatment of HCC are unclear.
Differentially expressed genes (DEGs) of Astragalus membranaceus treatment in HepG2 cells were identified, and Astragalus membranaceus-gene network was constructed. The hub genes were then obtained via protein-protein interaction (PPI) analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA) were subsequently performed. Furthermore, prognosis genes related to HCC from The Cancer Genome Atlas Program (TCGA) was identified to explore the correlation between Astragalus membranaceus treatment and prognosis of HCC. Finally, Astragalus membranaceus-component-target network was established through SymMap.
Twenty five DEGs (15 up-regulated and 10 down-regulated) of Astragalus membranaceus treatment in HepG2 cells were identified. Among the 25 genes, MT1F, MT1G, MT1X and HMOX1 may play essential roles. Astragalus membranaceus mainly affects the Mineral absorption pathway in HCC. A total of 256 genes (p < 0.01) related to prognosis of HCC were identified, and MT1G is a common gene between prognosis genes and DEGs. Furthermore, Astragalus membranaceus may directly down-regulate MT1G through daidzein to promote ferroptosis of HCC cells and improve prognosis for HCC.
Our study provided new understandings of the pharmacological mechanisms by which Astragalus membranaceus improves the prognosis of HCC, and showed that the combination of transcriptomics and network pharmacology is helpful to explore mechanisms of TCM and traditional medicines from other nations.
肝细胞癌(HCC)是癌症相关死亡的第四大主要原因。中药在缓解 HCC 方面具有特殊优势,而黄芪在中药治疗中被广泛应用。然而,其治疗 HCC 的潜在机制尚不清楚。
鉴定了黄芪处理 HepG2 细胞中的差异表达基因(DEGs),并构建了黄芪基因网络。然后通过蛋白质-蛋白质相互作用(PPI)分析获得了枢纽基因。随后进行了京都基因与基因组百科全书(KEGG)、基因本体论(GO)和基因集富集分析(GSEA)。此外,还从癌症基因组图谱计划(TCGA)中确定了与 HCC 相关的预后基因,以探讨黄芪治疗与 HCC 预后之间的相关性。最后,通过 SymMap 建立了黄芪成分-靶标网络。
鉴定出黄芪处理 HepG2 细胞中的 25 个 DEGs(15 个上调和 10 个下调)。在这 25 个基因中,MT1F、MT1G、MT1X 和 HMOX1 可能发挥着重要作用。黄芪主要影响 HCC 中的矿物质吸收途径。共鉴定出 256 个与 HCC 预后相关的基因(p<0.01),并且 MT1G 是预后基因和 DEGs 之间的共同基因。此外,黄芪可能通过大豆黄素直接下调 MT1G,促进 HCC 细胞的铁死亡,从而改善 HCC 的预后。
本研究为黄芪改善 HCC 预后的药理机制提供了新的认识,并表明转录组学和网络药理学的结合有助于探索中药和其他国家传统药物的机制。