Exploring the anti-lung cancer mechanism of Ganoderma lucidum and its relationship with the level of immune cell infiltration based on network pharmacology and molecular docking

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-08-12 DOI:10.1515/oncologie-2024-0194
Yuanyuan Luo, Xuehua Luo, Zhijian Xue, Miao Wu, Qiufang Chen, Ling Jin
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Abstract

Ganoderma lucidum has anti-tumor effects, but its mechanism of action against lung cancer is not clear. This study aims to use molecular docking and network pharmacology to investigate how G. lucidum inhibits tumor growth in lung cancer and how this relationship relates to the degree of immune cell infiltration. By utilizing the TCMSP database, the therapeutic targets and active ingredients of G. lucidum were discovered. Based on the targets found in subsequent rounds of screening, a protein interaction (PPI) network was constructed. Additionally, enrichment analysis was conducted using GO and the KEGG. The molecular docking was conducted with the help of AutoDock Tools and PyMOL. Finally, we investigated the relationships between immune cells and the commonalities between lung cancer and. The primary targets of G. lucidum’s anti-lung cancer activities, according to network pharmacology studies, are ADRB2, OPRM1, SLC6A4, and JUN. The primary components of the lung cancer fighter Ergosterol are ganoderal B, ganolucidic acid E, and beta-sitosterol. The molecular docking analysis revealed that beta-sitosterol had the highest degree of stability in its docking interaction with JUN. The immune infiltration analysis indicated a potential correlation between the biomarkers associated with G. lucidum treatment for lung cancer and the immune infiltrating cells. G. lucidum combats lung cancer by targeting multiple components and signaling pathways, facilitating cancer cell apoptosis and interacting with immune responses. This elucidates potential avenues for future research into G. lucidum’s mechanisms in lung cancer therapy.
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基于网络药理学和分子对接探讨灵芝抗肺癌机制及其与免疫细胞浸润水平的关系
灵芝具有抗肿瘤作用,但其对肺癌的作用机制尚不清楚。本研究旨在利用分子对接和网络药理学研究灵芝如何抑制肺癌肿瘤的生长,以及这种关系与免疫细胞浸润程度的关系。 通过利用 TCMSP 数据库,发现了鹿角胶的治疗靶点和活性成分。根据随后几轮筛选中发现的靶点,构建了蛋白质相互作用(PPI)网络。此外,还利用 GO 和 KEGG 进行了富集分析。在 AutoDock Tools 和 PyMOL 的帮助下进行了分子对接。最后,我们研究了免疫细胞与肺癌之间的关系以及肺癌与免疫细胞之间的共性。 根据网络药理学研究,绿藻抗肺癌活性的主要靶点是ADRB2、OPRM1、SLC6A4和JUN。肺癌斗士麦角甾醇的主要成分是甘露醇 B、甘露酸 E 和 beta-谷甾醇。分子对接分析表明,β-谷甾醇与 JUN 的对接作用稳定性最高。免疫浸润分析表明,绿藻治疗肺癌的相关生物标志物与免疫浸润细胞之间存在潜在的相关性。 绿藻通过靶向多种成分和信号通路、促进癌细胞凋亡以及与免疫反应相互作用来抗击肺癌。这为今后研究绿巨人治疗肺癌的机制提供了潜在的途径。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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