RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Characterizing the Antitumor Effect of Coptis chinensis and Mume Fructus against Colorectal Cancer Based on Pharmacological Analysis.
Characterizing the Antitumor Effect of Coptis chinensis and Mume Fructus against Colorectal Cancer Based on Pharmacological Analysis.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
结直肠癌(CRC)是全球第三大确诊癌症,也是癌症相关死亡的重要原因。既往研究观察到黄连(CC)和乌梅(MF)对CRC、肠炎和肠道菌群失调有效,但其化学和药理学机制仍知之甚少。
在本研究中,我们采用药理学网络分析来揭示CC和MF治疗CRC作用的潜在机制。所有化合物和靶基因均来自中药系统药理学数据库与分析平台(TCMSP)。基于GSE146587、GSE156720和GSE184093数据集鉴定差异表达基因(DEGs)。构建蛋白-蛋白相互作用(PPI)网络以识别CC和MF的推定靶基因。共鉴定出十个关键靶基因,包括CCND1、ICAM1、IL1B、IL-6、MMP1、MMP3、MMP9、MYC、SERPINE1和VEGFA。在这些基因中,六个(ICAM1、IL1B、IL-6、MMP1、MMP3、MMP9和SERPINE1)与效应记忆CD4 T细胞和自然杀伤T细胞水平呈正相关,三个(CCND1、MYC和VEGFA)与17型辅助性T细胞和CD56dimNK 细胞呈负相关。分子对接分析显示,CC和MF的四种化合物(山柰酚、齐墩果酸、槲皮素和熊果酸)可通过与靶基因相互作用影响CRC。
我们的研究证明,药理学分析能够可靠地评估中药治疗癌症的机制。
Colorectal cancer (CRC) is the third most diagnosed cancer worldwide and is a significant cause of cancer-related deaths. Previous studies have observed that Coptis chinensis (CC) and Mume Fructus (MF) are effective against CRC, enteritis, and intestinal dysbiosis, but the chemical and pharmacological mechanisms remain poorly understood. In this study, we employed pharmacological network analysis to reveal mechanisms underlying the therapeutic effect of CC and MF against CRC. All compounds and targeted genes were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP). Differentially expressed genes (DEGs) were identified based on GSE146587, GSE156720, and GSE184093 datasets.
A protein-protein interaction (PPI) network was constructed to identify putative target genes of CC and MF. Ten key targeted genes were identified, including CCND1, ICAM1, IL1B, IL-6, MMP1, MMP3, MMP9, MYC, SERPINE1, and VEGFA.
Among these genes, six (ICAM1, IL1B, IL-6, MMP1, MMP3, MMP9, and SERPINE1) were positively correlated with levels of effector memory CD4 T cells and natural killer T cells, and three (CCND1, MYC, and VEGFA) were negatively correlated with type 17 T helper cells and CD56dim natural killer cells. Molecular docking analysis showed that four compounds of CC and MF (kaempferol, oleanolic acid, quercetin, and ursolic acid) could affect CRC by interacting with target genes.
Our study proved that pharmacological analysis could reliably assess the mechanism of traditional Chinese medicines for treating cancer.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。