The multi-target mechanism of action of Selaginella doederleinii Hieron in the treatment of nasopharyngeal carcinoma: a network pharmacology and multi-omics analysis

被引:0
|
作者
Liang, Huaguo [1 ]
Fang, Caifu [1 ]
Qiu, Meng [1 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Clin Res Ctr Canc, Canc Ctr, Guangdong Key Lab Nasopharyngeal Carcinoma Diag &, Guangzhou 510060, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
<italic>Selaginella doederleinii</italic> Hieron; Nasopharyngeal carcinoma; Network pharmacology; Molecular dynamics simulation; MAPK14; PLK1; APOPTOSIS; EXTRACT;
D O I
10.1038/s41598-024-83921-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nasopharyngeal carcinoma (NPC) presents significant treatment challenges due to its complex etiology and late-stage diagnosis. The traditional Chinese medicine Selaginella doederleinii Hieron (S. doederleinii) has shown potentiality in NPC treatment due to its multi-target, multi-pathway anti-cancer mechanisms. First, we identified NPC related target genes from databases like GeneCards, OMIM, and DisGeNET, and performed WGCNA analysis on the GSE53819 dataset to identify several important gene modules related to NPC. Active components and their targets in S. doederleinii were screened from the TCMSP and other databases, identifying 32 overlapping genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that these genes are primarily involved in critical biological processes like protein phosphorylation and cell cycle regulation. A protein-protein interaction network was constructed, and cytoHubba identified six key genes (BCL2, MAPK14, ABCB1, PLK1, ATM, HMOX1). Kaplan-Meier analysis and immune infiltration analysis further showed that these key genes are closely related to the prognosis and immune microenvironment of NPC patients. Single-cell RNA sequencing analysis revealed the expression distribution of key genes across different immune cell types and explored their roles in the differentiation process of malignant cells through pseudotime trajectory analysis. Molecular docking and dynamics simulation results indicated that the Berberine-MAPK14 and Matairesinol-PLK1 complexes have high binding affinity and stability. Binding free energy calculations confirmed the stability of these complexes. Based on our comprehensive multi-level analysis, the active components of S. doederleinii may play a significant role in the treatment of NPC through multi-pathway and multi-target synergistic effects.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Integrated multi-omics analysis of genomics, epigenomics, and transcriptomics in ovarian carcinoma
    Zheng, Mingjun
    Hu, Yuexin
    Gou, Rui
    Wang, Jing
    Nie, Xin
    Li, Xiao
    Liu, Qing
    Liu, Juanjuan
    Lin, Bei
    AGING-US, 2019, 11 (12): : 4198 - 4215
  • [42] Analyzing the multi-target pharmacological mechanism of folium Artemisia argyi acting on breast cancer: a network pharmacology approach
    Song, Ying
    Wang, Jinlu
    Wang, Xiuli
    Zhang, Han
    Niu, Xingjian
    Yang, Yue
    Yang, Xudong
    Yin, Lei
    Wang, Yiran
    Zhang, Cuiying
    Shui, Ruixue
    Zhang, Qingyuan
    Ji, Hongfei
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (24)
  • [43] Computational approaches for network-based integrative multi-omics analysis
    Agamah, Francis E.
    Bayjanov, Jumamurat R.
    Niehues, Anna
    Njoku, Kelechi F.
    Skelton, Michelle
    Mazandu, Gaston K.
    Ederveen, Thomas H. A.
    Mulder, Nicola
    Chimusa, Emile R.
    't Hoen, Peter A. C.
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9
  • [44] MONGKIE: an integrated tool for network analysis and visualization for multi-omics data
    Yeongjun Jang
    Namhee Yu
    Jihae Seo
    Sun Kim
    Sanghyuk Lee
    Biology Direct, 11
  • [45] MONGKIE: an integrated tool for network analysis and visualization for multi-omics data
    Jang, Yeongjun
    Yu, Namhee
    Seo, Jihae
    Kim, Sun
    Lee, Sanghyuk
    BIOLOGY DIRECT, 2016, 11
  • [46] Microbiome Multi-Omics Network Analysis: Statistical Considerations, Limitations, and Opportunities
    Jiang, Duo
    Armour, Courtney R.
    Hu, Chenxiao
    Mei, Meng
    Tian, Chuan
    Sharpton, Thomas J.
    Jiang, Yuan
    FRONTIERS IN GENETICS, 2019, 10
  • [47] Exploring the molecular mechanisms network of breast cancer by multi-omics analysis
    Jiang, Wei
    Zhang, Yanjun
    Wang, Qiuqiong
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2025, 21 (01) : 129 - 137
  • [48] Network Pharmacology to Uncover the Molecular Mechanisms of Action of LeiGongTeng for the Treatment of Nasopharyngeal Carcinoma
    Mi, Jing-Lin
    Liu, Chang
    Xu, Meng
    Wang, Ren-Sheng
    MEDICAL SCIENCE MONITOR BASIC RESEARCH, 2020, 26 : e923431
  • [49] Mechanism of Action of Qingrekasen Granules in Alleviating Nephrotic Syndrome Evaluated by a Multi-Omics Approach
    Wang, Shanshan
    Dai, Wangqiang
    Huang, Zhuang
    Liu, Jiajing
    Huang, Hailing
    Ye, Yan
    Chen, Pengyu
    Duan, Bailu
    Jiang, Qi
    Wen, Yuxin
    Han, Lintao
    Li, Jingjing
    NATURAL PRODUCT COMMUNICATIONS, 2024, 19 (08)
  • [50] Multi-omics Investigation into the Mechanism of Action of an Anti-tubercular Fatty Acid Analogue
    Sakallioglu, Isin T.
    Maroli, Amith S.
    Leite, Aline De Lima
    Marshall, Darrell D.
    Evans, Boone W.
    Zinniel, Denise K.
    Dussault, Patrick H.
    Barletta, G.
    Powers, Robert
    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2022, 144 (46) : 21157 - 21173