miRNA表达异常与乳腺癌相关。了解miRNA及其靶基因可以更好地了解乳腺癌发展背后的生物学机制。这里,我们通过分析具有乳腺癌表达谱的马来女性,评估了miRNA在乳腺癌发展中的潜在预后和预测价值.对7个差异表达的miRNA(DEM)进行了miRNA-靶相互作用网络分析(MTIN)。通过整合来自五个独立数据库的miRNA和靶基因相互作用的信息,开发了一个全面的MTIN。包括DIANA-TarBase,miRTarBase,miRNet,miRDB,还有DIANA-microT.了解miRNAs在乳腺癌进展中的作用,对miRNA靶基因进行功能富集分析,随后进行生存分析,以评估miRNA及其靶基因的预后价值。总的来说,在7个DEM和1274个目标基因中发现了1416个相互作用,置信度(CS)>0.8。三个最DEM的总生存分析显示miR-27b-3p与TCGA乳腺癌患者队列中的不良预后显著相关。对606个miR-27b-3p靶基因的进一步功能分析揭示了它们参与癌症相关的过程和途径。包括孕激素受体信号通路,PI3K-Akt通路,和EGFR反式激活。值得注意的是,六个高置信度靶基因(BTG2,DNAJC13,GRB2,GSK3B,KRAS,和UBR5)被发现与乳腺癌患者的总体生存率较差有关,强调它们在乳腺癌发展中的重要作用。因此,我们认为miR-27b-3p作为检测乳腺癌的生物标志物具有重要潜力,并且可以提供有关疾病分子机制的有价值的理解.
Abnormal miRNA expression has been associated with breast cancer. Knowing miRNA and its target genes gives a better understanding of the biological mechanism behind the development of breast cancer. Here, we evaluated the potential prognostic and predictive values of miRNAs in breast cancer development by analyzing Malay women with breast cancer expression profiles. Seven differentially expressed miRNAs (DEMs) were subjected to miRNA‒target interaction network analysis (MTIN). A comprehensive MTIN was developed by integrating the information on miRNA and target gene interactions from five independent databases, including DIANA-TarBase, miRTarBase, miRNet, miRDB, and DIANA-microT. To understand the role of miRNAs in the progress of breast cancer, functional enrichment analysis of the miRNA target genes was conducted, followed by survival analysis to assess the prognostic values of the miRNAs and their target genes. In total, 1416 interactions were discovered among seven DEMs and 1274 target genes with a confidence score (CS) > 0.8. The overall survival analysis of the three most DEMs revealed a significant association of miR-27b-3p with poor prognosis in the TCGA breast cancer patient cohort. Further functional analysis of 606 miR-27b-3p target genes revealed their involvement in cancer-related processes and pathways, including the progesterone receptor signaling pathway, PI3K-Akt pathway, and EGFR transactivation. Notably, six high-confidence target genes (BTG2, DNAJC13, GRB2, GSK3B, KRAS, and UBR5) were discovered to be associated with worse overall survival in breast cancer patients, underscoring their essential roles in breast cancer development. Thus, we suggest that miR-27b-3p has significant potential as a biomarker for detecting breast cancer and can provide valuable understanding regarding the molecular mechanisms of the disease.