Liang Mingchao, Lai Tianqi, Li Zhen, Yu Wei, Cao Mingrong, Yao Nan, Hu Youzhu, Liu Tongzheng, Liang Junjie
Department of General Surgery, The Affiliated Shunde Hospital, Jinan University, Foshan, China.
Department of Hepatobiliary Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, China.
Front Oncol. 2025 Mar 7;15:1492599. doi: 10.3389/fonc.2025.1492599. eCollection 2025.
GINS1 is correlated with a poor prognosis in numerous cancers including liver hepatocellular carcinoma (LIHC). Here, efforts have been made to explore the function and underlying mechanism in LIHC through bioinformatics analysis. The mRNA and protein expression data of GINS1 were downloaded from The Cancer Genome Atlas (TCGA) database, the Clinical Proteomic Tumor Analysis Consortium (CPTAC), the University of Alabama at Birmingham CANcer Data Analysis Portal (UALCAN), and the Human Protein Atlas (HPA) database. Moreover, the protein expression of GINS1 was further substantiated by immunohistochemistry staining from 116 clinical samples. Subsequently, the diagnostic and prognostic role of GINS1 in LIHC patients were determined using receiver operating characteristic (ROC) analysis and the Kaplan-Meier plotter (KM-plotter) database. GeneMANIA and STRING databases were respectively used to construct gene and protein-protein interaction (PPI) networks of GINS1. Enrichment analyses were conducted to investigate the functions of GINS1. To assess the genetic alterations, methylation, and prognostic value, cBioPortal, and MethSurv databases were utilized. Additionally, Tumor Immune Estimation Resource (TIMER), Tumor-Immune System Interaction Database (TISIDB), and Gene Expression Profiling Interactive Analysis (GEPIA) were used to explore the correlation with tumor immune. Differential expression analyses validated the upregulation of GINS1 in LIHC. Furthermore, the prognostic and diagnostic values of GINS1 were substantiated by the ROC curve, Kaplan-Meier plotters, and forest plots. Further enrichment, methylation, and tumor immune microenvironment analyses showed an intimate connection with GINS1. In conclusion, GINS1 which is correlated with methylation and immune escape may predict the prognosis of LIHC.
GINS1与包括肝细胞癌(LIHC)在内的多种癌症的不良预后相关。在此,通过生物信息学分析来探索其在LIHC中的功能及潜在机制。从癌症基因组图谱(TCGA)数据库、临床蛋白质组肿瘤分析联盟(CPTAC)、阿拉巴马大学伯明翰分校癌症数据分析门户(UALCAN)以及人类蛋白质图谱(HPA)数据库下载了GINS1的mRNA和蛋白质表达数据。此外,通过对116份临床样本进行免疫组织化学染色进一步证实了GINS1的蛋白质表达。随后,使用受试者工作特征(ROC)分析和Kaplan-Meier绘图仪(KM-绘图仪)数据库确定GINS1在LIHC患者中的诊断和预后作用。分别使用GeneMANIA和STRING数据库构建GINS1的基因和蛋白质-蛋白质相互作用(PPI)网络。进行富集分析以研究GINS1的功能。为评估基因改变、甲基化和预后价值,利用了cBioPortal和MethSurv数据库。此外,使用肿瘤免疫估计资源(TIMER)、肿瘤-免疫系统相互作用数据库(TISIDB)和基因表达谱交互分析(GEPIA)来探索与肿瘤免疫的相关性。差异表达分析验证了LIHC中GINS1的上调。此外,ROC曲线、Kaplan-Meier绘图仪和森林图证实了GINS1的预后和诊断价值。进一步的富集、甲基化和肿瘤免疫微环境分析显示与GINS1密切相关。总之,与甲基化和免疫逃逸相关的GINS1可能预测LIHC的预后。