Li Xize, Wang Qingyu, Xu Zhouhan, Yang Xuesi, Zhao Ruiqi, Wang Haocheng, Li Xueling, Zeng Jiping
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, People's Republic of China.
Clinical Five-Year Program, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, People's Republic of China.
Sci Rep. 2025 Jul 2;15(1):22974. doi: 10.1038/s41598-025-06773-5.
To provide a novel direction for the diagnosis of gastric cancer (GC). The differentially expressed blood microRNAs (miRNAs) in gastric carcinoma were screened through SangerBox using the datasets GSE113486, GSE112264, and GSE113740. The miRNA-target genes prediction, conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed with the Database for Annotation, Visualization and Integrated Discovery (DAVID) 6.8. STRING analysis was further investigated with Cytoscape. The correlations among the expression levels of key miRNAs and prognosis/diagnostic value in GC patients were determined by survival prognosis and Receiver Operating Characteristic (ROC) curve analysis. Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR) was employed to detect the different expression levels of key miRNAs in human blood samples. In the process, the influence of Helicobacter pylori (H. pylori) infection on expression levels of miRNAs was analyzed with Gene Expression Omnibus 2R (GEO2R) in dataset GSE108307. To evaluate these findings, the expression level of Cytotoxin-associated gene A (CagA), along with clinical markers used in the help of GC pathologic diagnosis, were measured and compared with the key miRNAs obtained in this study. The bioinformatics analysis identified five crucial blood miRNAs, including hsa-miR-124-3p, hsa-miR-125a-3p, hsa-miR-29b-3p, hsa-miR-4276, and hsa-miR-575. The detection in human blood samples combined with cross-analysis involving H. pylori infection, the expression levels of CagA and clinical markers underscored the significance and effectiveness of these specific miRNAs in early diagnosis and monitoring of gastric carcinoma. This study identified five potential blood miRNA biomarkers for GC through bioinformatics analysis coupled with detection in human blood samples, thus providing new possibilities for important biomarkers related to diagnosis and prognosis of GC.
为胃癌（GC）的诊断提供新的方向。利用数据集GSE113486、GSE112264和GSE113740，通过SangerBox筛选胃癌中差异表达的血液微小RNA（miRNA）。使用注释、可视化和综合发现数据库（DAVID）6.8进行miRNA靶基因预测、基因本体论（GO）和京都基因与基因组百科全书（KEGG）功能富集分析。用Cytoscape进一步进行STRING分析。通过生存预后和受试者工作特征（ROC）曲线分析确定关键miRNA表达水平与GC患者预后/诊断价值之间的相关性。采用定量逆转录聚合酶链反应（RT-qPCR）检测人血样本中关键miRNA的不同表达水平。在此过程中，利用数据集GSE108307中的基因表达综合数据库2R（GEO2R）分析幽门螺杆菌（H. pylori）感染对miRNA表达水平的影响。为评估这些发现，测量了细胞毒素相关基因A（CagA）的表达水平以及有助于GC病理诊断的临床标志物，并与本研究中获得的关键miRNA进行比较。生物信息学分析确定了5种关键的血液miRNA，包括hsa-miR-124-3p、hsa-miR-125a-3p、hsa-miR-29b-3p、hsa-miR-4276和hsa-miR-575。在人血样本中的检测结合涉及H. pylori感染、CagA表达水平和临床标志物的交叉分析，强调了这些特定miRNA在胃癌早期诊断和监测中的意义和有效性。本研究通过生物信息学分析结合人血样本检测，确定了5种潜在的GC血液miRNA生物标志物，从而为与GC诊断和预后相关的重要生物标志物提供了新的可能性。
