These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Comprehensive analysis of the exosomal circRNA-miRNA-mRNA network in breast cancer.
    Author: Mao S, Cheng Y, Huang Y, Xiong H, Gong C.
    Journal: J Gene Med; 2023 Jul; 25(7):e3500. PubMed ID: 36942488.
    Abstract:
    BACKGROUND: Exosomal circular RNAs (circRNAs) played critical roles in tumor development and progression and might be novel biomarkers in the diagnosis and treatment of various cancers. However, the biological functions and clinical implications of exosomal circRNAs in breast cancer are unclear. METHODS: Expression profiles of exosomal circRNAs the in exoRBase 2.0 database were used to identify differentially expressed exosomal circRNAs in breast cancer. The LASSO and SVM-RFE algorithms followed by multivariate logistic regression analysis were performed to construct the diagnostic model. The target genes of circRNAs were selected by combing differential expression analysis and CSCD, TargetScan and ENCORI databases. Univariate and multivariate survival analysis were conducted to construct a survival-associated exosomal circRNA-miRNA-mRNA network. GSVA and CIBERSORT algorithms were used to evaluate the cancer hallmarks and immune cells in breast cancer and Spearman correlation analysis was used to investigate their correlations with the circRNA-miRNA-mRNA network. RESULTS: In total, 347 upregulated and three downregulated exosomal circRNAs were identified in breast cancer patients. The diagnostic model based on 14 exosomal circRNAs showed a high area under the curve (AUC) value in both the training (AUC = 0.98) and validation (AUC = 0.94) dataset. In total, 70 miRNAs and 1147 mRNAs were selected as the downstream targets of circRNAs and were revealed to participate in tumor-associated pathways, including the PI3K-AKT, MAPK, RAS and RAP1 pathways, as well as calcium signaling pathways, in addition to transcriptional misregulations. The constructed survival-associated exosomal circRNA-miRNA-mRNA network contained nine exosomal circRNAs, 12 miRNAs and 10 mRNAs, and showed complicated correlations and interactions within networks. Cancer hallmark pathways, including the TGF-β, KRAS and MYC signaling pathways, tumor angiogenesis, epithelial-mesenchymal transition, DNA repair and G2M checkpoint, as well as immune cells, including CD4+ and CD8+ T cells, dendritic cells, mast cells, macrophage cells, memory B cells and natural killer cells, were closely correlated with the circRNA-miRNA-mRNA network. CONCLUSIONS: The present study is the first to systematically analyze the exosomal circRNAs in breast cancer. We established an exosomal circRNA diagnostic model and constructed a survival-associated exosomal circRNA-miRNA-mRNA network. Our results revealed the complicated functions and potential mechanisms of the exosomal circRNA-miRNA-mRNA network in breast cancer, which need to be validated further in future studies.
    [Abstract] [Full Text] [Related] [New Search]