| 刊名 | Medicinal Plant |
| 作者 | Hui LI, Xueyuan FENG, Kaige YANG, Xinxia LIU, Jingyi DAI, Chenyang LI, Guanfu SHAO, Yuxiao WANG, Yunxia LIU, Qian XU |
| 作者单位 | Clinical College of Chengde Medical University, Chengde 067000, China; School of Basic Medical Sciences, Chengde Medical University, Chengde 067000, China; Hebei Key Laboratory of Nerve Injury and Repair, Chengde 067000, China |
| DOI | DOI:10.19600/j.cnki.issn2152-3924.2026.03.012 |
| 年份 | 2026 |
| 刊期 | 3 |
| 页码 | 52-58 |
| 关键词 | Glioma, Bioinformatics, Tyrosine kinase pathway, Metabolic reprogramming |
| 摘要 | [Objectives] To investigate the molecular mechanisms underlying the promotion of glioma growth by the tyrosine kinase pathway using bioinformatics approaches. [Methods] The TCGA database and multiple bioinformatics tools (GEPIA, STRING, Metascape, R, etc.) were employed to conduct differential expression analysis, prognostic assessment, protein-protein interaction (PPI) network construction, functional enrichment analysis (GO/KEGG/GSEA), and gene-metabolite network analysis. [Results] Key tyrosine kinase pathway genes, including EGFR and VEGFA, were found to be upregulated in glioma and were associated with unfavorable patient outcomes. PPI network analysis revealed EGFR, ERBB2, and SRC as central hub genes. Enrichment analyses demonstrated significant involvement of this pathway in processes such as metabolic reprogramming and resistance to EGFR tyrosine kinase inhibitors. Moreover, metabolic network analysis uncovered close links with the Warburg effect, the tricarboxylic acid (TCA) cycle, and amino acid metabolism. [Conclusions] The tyrosine kinase pathway is aberrantly activated in glioma and may drive metabolic reprogramming by modulating energy and amino acid metabolism in tumor cells, thereby facilitating glioma development and progression. This study provides a new theoretical foundation for the clinical management of glioma. |
