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鉴定与乙肝相关肝细胞癌有关的关键基因:诊断、预后、相互作用及免疫分析

Identifying key genes involved in HBV-related hepatocellular carcinoma: diagnose, prognosis, interaction and immune analysis.

作者信息

Li Yan, Liu Sa-Sa, Jing Hua-Rong, Qian Hong-Wei, Li Rui-Cheng

机构信息

School of Medical Laboratory, North Henan Medical University, Xinxiang, 453500, Henan Province, China.

Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China.

出版信息

Discov Oncol. 2025 Aug 9;16(1):1510. doi: 10.1007/s12672-025-03320-6.

Abstract

BACKGROUND

Hepatitis B virus associated hepatocellular carcinoma (HBV-HCC) have been a serious global health problem. This study aimed to uncover the key genes in HBV-HCC, and clarity their function, interaction, diagnostic and prognostic value, impacts on immune infltration and potential drugs targeting these genes.

METHODS

Four gene expression datasets totally containing 117 paired tumor tissues and adjacent control tissues were selected from the GEO database and used to screen the differentially expressed genes (DEGs). Function analysis were performed by using GO and KEGG enrichment. STRING and cytoscape were used to analyze protein-protein interaction (PPI) and screen hub gene. Survival analysis and receiver operator characteristic (ROC) curve were used to explore the prognostic and diagnostic value of key genes. Immune infiltration analysis were performed by CIBERSORT algorithm. Drug-Gene Interaction Database (DGIdb) was used to screen the potential drug that affect hub genes.

RESULTS

Overall, 234 shared DEGs were screened from four GSE datasets, which were mainly enrichment in cell growth regulation, epoxygenase P450 pathway, cellular response to multiple ion, xenobiotic metabolic process and complement activation. Six hub genes (HMMR, NDC80, CDK1, EZH2, ESR1, FOXM1) were screen by PPI analysis. ESR1 was down-regulated and associated with favorable prognosis in HBV-HCC, while HMMR, NDC80, CDK1 and EZH2 were up-regulated and correlation with shorter overall survival. Furthermore, ROC analysis and nomogram demonstrated the high diagnostic performance of NDC80, CDK1 and EZH2. Immune infiltration analysis showed that there were significant difference of several immune cell types between tumor and control tissues, including T cells, monocyte/macrophage and dendritic cells. There were significant correlation between hub genes with immune infiltration. Finally, DGIdb analysis showed there were several approved or new drugs that interaction with HMMR, CDK1, ESR1 and EZH2.

CONCLUSION

Six hug-genes are closely related to the HBV-HCC development, which involved in multiple biological progress and immune infiltration. Among them, NDC80, CDK1, EZH2 could severed as markers with good diagnostic and prognostic value. Notably, several approved drugs interaction with hub genes might be potential drug used for HBV-HCC therapy.

摘要

背景

乙型肝炎病毒相关肝细胞癌(HBV-HCC)一直是一个严重的全球健康问题。本研究旨在揭示HBV-HCC中的关键基因,阐明其功能、相互作用、诊断和预后价值、对免疫浸润的影响以及针对这些基因的潜在药物。

方法

从GEO数据库中选择四个基因表达数据集,共包含117对肿瘤组织和相邻对照组织,用于筛选差异表达基因(DEG)。通过GO和KEGG富集进行功能分析。使用STRING和Cytoscape分析蛋白质-蛋白质相互作用(PPI)并筛选枢纽基因。生存分析和受试者工作特征(ROC)曲线用于探索关键基因的预后和诊断价值。通过CIBERSORT算法进行免疫浸润分析。使用药物-基因相互作用数据库(DGIdb)筛选影响枢纽基因的潜在药物。

结果

总体而言,从四个GSE数据集中筛选出234个共享的DEG,主要富集在细胞生长调节、环氧合酶P450途径、细胞对多种离子的反应、异生物代谢过程和补体激活。通过PPI分析筛选出六个枢纽基因(HMMR、NDC80、CDK1、EZH2、ESR1、FOXM1)。ESR1在HBV-HCC中下调且与良好预后相关,而HMMR、NDC80、CDK1和EZH2上调且与较短的总生存期相关。此外,ROC分析和列线图显示NDC80、CDK1和EZH2具有较高的诊断性能。免疫浸润分析表明,肿瘤组织和对照组织之间几种免疫细胞类型存在显著差异,包括T细胞、单核细胞/巨噬细胞和树突状细胞。枢纽基因与免疫浸润之间存在显著相关性。最后,DGIdb分析表明有几种已批准或新的药物与HMMR、CDK1、ESR1和EZH2相互作用。

结论

六个枢纽基因与HBV-HCC的发生密切相关,涉及多个生物学进程和免疫浸润。其中,NDC80、CDK1、EZH2可作为具有良好诊断和预后价值的标志物。值得注意的是,几种与枢纽基因相互作用的已批准药物可能是用于HBV-HCC治疗的潜在药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9e9/12335418/ad164ec1ece4/12672_2025_3320_Fig1_HTML.jpg

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