| 何雅慧1△，陈芝涛2，林胜璋2▲.基于生物信息学分析肝细胞癌中潜在的核心基因和关键通路[J].中国医药科学,2024,14(9):26-30 基金项目: |
| 基于生物信息学分析肝细胞癌中潜在的核心基因和关键通路 |
| Analysis of potential core genes and key pathways in hepatocellular carcinoma based on bioinformatics |
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| DOI： |
| 中文关键词: 肝细胞癌；差异表达基因；核心基因；关键通路；生物信息学分析 |
| 英文关键词:Hepatocellular carcinoma; Differentially expressed genes; Core gene; Key pathway; Bioinformatics analysis |
| 作者 | 单位 | | 何雅慧1△，陈芝涛2，林胜璋2▲ | 1.浙江中医药大学研究生院，浙江杭州 310053；2.树兰 （杭州）医院肝胆胰外科，浙江杭州 310015 |
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| 中文摘要: |
| [摘要] 目的 基于生物信息学分析探索肝细胞癌（HCC）中潜在的核心基因和关键通路，为HCC的诊断和治疗提供新思路。 方法 本研究使用基因表达数据库（GEO数据库）下载数据集，通过GEO2R在线工具和韦恩图工具筛选出差异表达基因（DEGs），利用STRING数据库和Cytoscape软件进行蛋白质-蛋白质相互作用（PPI）网络分析并筛选出核心DEGs，并利用GEPIA2在线网站工具分析与预后相关的核心基因。 结果 本研究在3个数据集中共筛选出210个差异表达基因（DEGs），包括143个共下调基因和67个共上调基因。对共有的DEGs进行蛋白互作（PPI）网络分析，筛选出10个核心基因。GEPIA2分析结果表明，核心基因不仅与HCC免疫细胞浸润相关，也与HCC组织中不同病理阶段的表达水平相关（P < 0.05）。将筛选出的10个核心基因进行生存分析，结果显示有6个基因与HCC预后相关。 结论 本研究筛选出的核心基因和通路可能作为HCC潜在的预后生物标志物和免疫治疗靶点的选择。 |
| 英文摘要: |
| [Abstract] Objective To explore the potential core genes and key pathways in hepatocellular carcinoma (HCC) based on bioinformatics analysis, and provide new ideas for the diagnosis and treatment of HCC. Methods This study utilized the Gene Expression Omnibus (GEO) database to download datasets, and identified differentially expressed genes (DEGs) through the GEO2R online tool and Venn diagram tool. The STRING database and Cytoscape software were then employed to conduct protein-protein interaction (PPI) network analysis and screen out the core DEGs. Finally, the GEPIA2 online tool was used to analyze the prognosis-related core genes. Results In this study, 210 differentially expressed genes (DEGs) were screened from three data sets, including 143 co-down-regulated genes and 67 co-up-regulated genes. Protein-protein interaction (PPI) network analysis was carried out on the common DEGs, and 10 core genes were screened out. GEPIA2 analysis showed that the core gene was not only related to the infiltration of immune cells in HCC, but also related to the expression level in different pathological stages of HCC (P < 0.05). Survival analysis was performed on the 10 selected core genes, and the results showed that 6 genes were associated with the prognosis of HCC. Conclusion The core genes and pathways screened in this study may be used as potential prognostic biomarkers and immunotherapy targets for HCC. |
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