Ruan Liqin, Fang Ningbo, Zhao Xinhua, Chen Weili, Wu Zhaoping, Wu Xiaoyong
Jiuiiang City Key Laboratory of Cell Therapy, JiuJiang NO.1 People's Hospital, Jiujiang, China.
Discov Oncol. 2025 Feb 4;16(1):116. doi: 10.1007/s12672-025-01851-6.
This study aimed to uncover the key hepatitis-B (HB)-related liver cancer (LC) promoting genes, and clarity their interrelationships, enrichments, impacts on LC immune infiltration, and potential drugs targeting these genes.
The LC-survival associated genes were acquired from the LIHC samples of the TCGA-database; and HB related genes from the DisGeNET database. The intersection was used to screen the key genes. Using the 8 HB-LC genes, we constructed prognostic models for survival prediction of HBV positive patients with LIHC and performed enrichment analysis, interaction analysis, immune infiltration analysis, and potential drug digging from the GTRP and GDSC databases.
In the core intersection of different sets. Based on these genes, prognostic cox regression models for OS and DFS were constructed. Overall, HB-LC genes were significantly negatively correlated with Th17, MAIT, monocytes, and CD4 Naive cells, while they were positively correlated with B cells, nTreg cells, and Tr1 cells. Among 8 genes, MKI67, EZH2, and CDCA5 were hub ones. Finally, 7 drugs target at least three HB-LC genes and can be used as novel drugs.
Together, eight key HB-LC genes play important cancer-promoting roles in LC, which may be the molecular mechanism by which HBV drives the development of LC.
本研究旨在揭示乙型肝炎(HB)相关肝癌(LC)的关键促癌基因,明确它们之间的相互关系、富集情况、对LC免疫浸润的影响以及针对这些基因的潜在药物。
从TCGA数据库的LIHC样本中获取与LC生存相关的基因;从DisGeNET数据库中获取与HB相关的基因。通过取交集来筛选关键基因。利用这8个HB-LC基因,我们构建了用于预测HBV阳性LIHC患者生存的预后模型,并进行了富集分析、相互作用分析、免疫浸润分析,以及从GTRP和GDSC数据库中挖掘潜在药物。
在不同数据集的核心交集中。基于这些基因,构建了OS和DFS的预后Cox回归模型。总体而言,HB-LC基因与Th17、MAIT、单核细胞和CD4初始细胞显著负相关,而与B细胞、nTreg细胞和Tr1细胞正相关。在这8个基因中,MKI67、EZH2和CDCA5是核心基因。最后,有7种药物靶向至少三个HB-LC基因,可作为新型药物。
总之,八个关键的HB-LC基因在LC中发挥着重要的促癌作用,这可能是HBV驱动LC发展的分子机制。