GINS1 is a prognostic biomarker and correlated with methylation and immune escape in liver hepatocellular carcinoma.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-03-07 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1492599
Mingchao Liang, Tianqi Lai, Zhen Li, Wei Yu, Mingrong Cao, Nan Yao, Youzhu Hu, Tongzheng Liu, Junjie Liang
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Abstract

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.

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GINS1是一种预后生物标志物,与肝细胞癌的甲基化和免疫逃逸相关。
GINS1与包括肝细胞癌(LIHC)在内的许多癌症的不良预后相关。本文试图通过生物信息学分析来探讨其在LIHC中的作用及其机制。GINS1 mRNA和蛋白表达数据从癌症基因组图谱(TCGA)数据库、临床蛋白质组学肿瘤分析联盟(CPTAC)、阿拉巴马大学伯明翰分校癌症数据分析门户网站(UALCAN)和人类蛋白质图谱(HPA)数据库下载。此外,116例临床样本的免疫组化染色进一步证实了GINS1蛋白的表达。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。分别利用GeneMANIA和STRING数据库构建GINS1基因和蛋白-蛋白相互作用(PPI)网络。通过富集分析研究GINS1的功能。为了评估遗传改变、甲基化和预后价值,使用了cbiopportal和MethSurv数据库。此外,使用肿瘤免疫估计资源(Tumor Immune Estimation Resource, TIMER)、肿瘤免疫系统相互作用数据库(Tumor-Immune System Interaction Database, TISIDB)和基因表达谱相互作用分析(Gene Expression Profiling Interaction Analysis, GEPIA)来探讨与肿瘤免疫的相关性。差异表达分析证实了GINS1在LIHC中的上调。此外,通过ROC曲线、Kaplan-Meier绘图图和森林图证实了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表明,GINS1与GINS1密切相关。综上所述,与甲基化和免疫逃逸相关的GINS1可能预测LIHC的预后。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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