医学分子生物学杂志2025，Vol.22Issue(6)：586-593,8.DOI:10.3870/j.issn.1672-8009.2025.06.008
前列腺癌中迁移体相关基因的鉴定及免疫学特征
Identification and Immunological Characteristics of Migrasome-relat-ed Genes in Prostate Cancer
陈莎莎 1蔡维望 2骆佳梅 3张勇3
作者信息
- 1. 锦州医科大学研究生学院 辽宁省锦州市,121001||黄石市第二医院检验科 湖北省黄石市,435000||黄石医养医学检验有限公司 湖北省黄石市,435000
- 2. 黄石市第二医院检验科 湖北省黄石市,435000
- 3. 黄石市第五医院检验科 湖北省黄石市,435000
- 折叠
摘要
Abstract
Objective To explore the expression patterns of migrasome-related genes(MRGs)in prostate cancer and elucidate their underlying mechanisms using bioinformatics tools.Methods Transcriptomic data of 498 cases of prostate cancer were obtained from The Cancer Genome Atlas(TCGA)database.The limma package was used to identify differentially expressed genes in prostate cancer tissues,and the results were validated using GSE70770 and GSE88808 datasets.Migrasome-related differentially expressed genes(MRDEGs)were screened using protein annotation databas-es.Gene Ontology(GO)was applied to investigate the functional enrichment of MRDEGs.The LASSO regression and SVM-RFE model were used to screen key diagnostic MRDEGs for prostate cancer,and a predictive Nomogram was constructed.The correlation between 22 types of infiltrating immune cells and MRDEGs was analyzed.Results Six MRDEGs were identified in prostate cancer tissues.PKD1,ITGB1 and ITGA5 were significantly expressed in the GSE70770 and GSE88808 datasets.GO enrichment analysis showed that these genes were primarily enriched in biological processes or molecular functions such as the positive regulation of cyclin-dependent serine/threonine protein kinase activity,calcium channel activity,and transmembrane transporter binding.Machine learning identified ITGB1 and ITGA5 as the key MRDEGs for diagnosing prostate cancer.The pre-diction model constructed based on the key MRDEGs for prostate cancer in the training set TCGA database had an AUC value of 0.833,and the AUC value in the external validation set GSE70770 was 0.868.Resting dendritic cells and neutrophils showed a positive correlation with the expression levels of ITGB1 and ITGA5,while regulatory T cells(Tregs)and MO macrophages showed a nega-tive correlation.Conclusion Our study employed bioinformatics methods to systematically elucidate the significant role of the migration-related genes ITGB1 and ITGA5 in the pathogenesis of prostate cancer,potentially providing new insights into molecular targets for the treatment of prostate cancer.关键词
前列腺癌/迁移体/诺莫图/生物信息学分析Key words
prostate cancer/migrasome/nomogram/bioinformatics analysis分类
医药卫生引用本文复制引用
陈莎莎,蔡维望,骆佳梅,张勇..前列腺癌中迁移体相关基因的鉴定及免疫学特征[J].医学分子生物学杂志,2025,22(6):586-593,8.
