细胞衰老相关的CASC15/hsa-miR-30c-5p/ SERPINE1轴影响胃癌的发生发展
Aging-Associated CASC15/hsa-miR-30c-5p/SERPINE1 Axis Affects the Occurrence and Development of Gastric Cancer
DOI: 10.12677/acm.2025.151148, PDF,    科研立项经费支持
作者: 张康洋, 王子晨, 郭 振, 张 伟, 孙培春*：郑州大学人民医院胃肠外科，河南 郑州
关键词: 胃癌；SERPINE1；衰老基因；ceRNA；癌症基因组图谱；Gastric Cancer； SERPINE1； Aging Genes； ceRNA； TCGA
摘要: 目的：寻找影响胃癌发生发展的衰老基因，构建内源竞争性RNA (ceRNA)调控网络，为发掘胃癌有效的诊断、预后生物标志物和治疗靶点提供依据。方法：从癌症基因组图谱(TCGA)数据库下载胃癌的表达数据和临床生存数据，在Aging Atlas数据库中获取衰老基因，使用R软件中“DESeq2”程序包进行差异分析并采用Cox回归及Kaplan-Meier生存分析的方法筛选在胃癌中表达差异且与预后相关的衰老基因。通过Starbase数据库筛选具有靶向关系的miRNAs和lncRNAs，分别进行相关性分析和生存分析用于构建ceRNA调控网络。结果：对502个衰老基因分析显示SERPINE1基因在胃癌组织中显著高表达，且其高表达时患者预后较差。之后以SERPINE1作为关键基因构建一个与胃癌患者预后相关的ceRNA网络，其包含1个mRNA、1个miRNA和1个lncRNA，并以此基因构建胃癌的预后风险模型，最后进行通路、功能及免疫相关性分析。结论：本研究对衰老基因的分析及ceRNA网络的构建有助于进一步探索胃癌发生发展的分子机制，对发现预后标志物和治疗靶点至关重要。
Abstract: Objective: Searching for aging genes affecting the occurrence and development of gastric cancer and constructing competitive endogenous RNA (ceRNA) regulatory networks provide evidence for exploring effective diagnostic and prognostic biomarkers and therapeutic targets of gastric cancer. Methods: Expression data and clinical survival data of gastric cancer were downloaded from The Cancer Genome Atlas (TCGA) database. Senescence-related genes were obtained from the Aging Atlas database. Differential analysis was performed using the “DESeq2” package in R software. Cox regression and Kaplan-Meier survival analysis methods were employed to screen for senescence-related genes that are differentially expressed in gastric cancer and associated with prognosis. The Starbase database was used to identify miRNAs and lncRNAs with target relationships. Correlation analysis and survival analysis were conducted to construct the ceRNA regulatory network. Results: The analysis of 502 aging genes showed that the SERPINE1 gene was highly expressed in gastric cancer tissues, and the prognosis of patients was poor when it was highly expressed. Then SERPINE1 was used as the key gene to construct a ceRNA network correlated with survival in gastric cancer patients, which included one mRNA, one miRNA, and one lncRNA. The prognostic risk model of gastric cancer was constructed with the SERPINE1 gene. Finally, the pathway, functional enrichment analysis, and immune correlation analysis were carried out. Conclusion: The analysis of aging genes and the construction of the ceRNA network in this study are helpful to further explore the molecular mechanism of the occurrence and development of gastric cancer, which is crucial for the discovery of the prognostic markers and therapeutic targets.
文章引用：张康洋, 王子晨, 郭振, 张伟, 孙培春. 细胞衰老相关的CASC15/hsa-miR-30c-5p/ SERPINE1轴影响胃癌的发生发展[J]. 临床医学进展, 2025, 15(1): 1110-1124. https://doi.org/10.12677/acm.2025.151148

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