中国医药科学2025，Vol.15Issue(13)：9-14,6.DOI:10.20116/j.issn2095-0616.2025.13.02
基于生物信息学分析TRIM家族基因在卵巢癌发生发展中的作用及预后价值
Biological informatics analysis of the role and prognostic value of the TRIM gene family in ovarian cancer
摘要
Abstract
Objective To systematically analyze the mechanism of tripartite motif(TRIM)family genes in the occurrence and development of ovarian cancer,and to explore their potential value in disease prognosis by using bioinformatics methods.Methods Based on public databases such as The Cancer Genome Atlas(TCGA),Genotype Tissue Expression(GTEX),and Gene Expression Omnibus(GEO),the mRNA expression profiles of TRIM family genes in ovarian cancer were studied to identify genes with significant differential expression that affect the prognosis of ovarian cancer.Further analysis was conducted on the mechanisms by which these genes contribute to the occurrence and development of ovarian cancer,their effects on tumor microenvironment alterations,their distribution characteristics in tumor tissues,and their diagnostic and prognostic value.Results The study found that the expression levels of TRIM24 and TRIM25 were lower in ovarian cancer tissues compared to normal ovarian tissues,while TRIM31 expression was higher in ovarian cancer tissues.However,the overall survival of ovarian cancer patients in the high expression groups of TRIM24 and TRIM25 was significantly longer than in the low expression groups,while the high expression group of TRIM31 had significantly shorter overall survival than the low expression group.Furthermore,the expression of these three genes was closely related to changes in the immune microenvironment and was widely distributed in epithelial-derived ovarian cancer tissues.Conclusion TRIM24,TRIM25,and TRIM31 play a dual role in the occurrence and development of ovarian cancer.They participate in the progression of ovarian cancer by altering the immune microenvironment and regulating inflammation.关键词
卵巢癌/三联体结构域蛋白家族基因/生物标志物/生物信息学Key words
Ovarian cancer/Tripartite motif gene family/Biomarkers/Bioinformatics分类
医药卫生引用本文复制引用
阎晓丽,秦海霞,王晓蔚..基于生物信息学分析TRIM家族基因在卵巢癌发生发展中的作用及预后价值[J].中国医药科学,2025,15(13):9-14,6.基金项目
山西省教育科学"十四五"规划2022年度课题(GH-220283). （GH-220283）
