مقايسه ميزان بيان mir-3187 بين بافت‌ سالم و مبتلا به سرطان پستان

Comparison of miR-3187 expression levels between healthy tissue an‎d breast cancer tissue

زيست شناسي سلولي مولكولي و ميكروبيولوژي

Breast cancer is one of the most common malignancies among women, an‎d early diagnosis plays a crucial role in improving patient prognosis. The aim of this study was to identify an‎d introduce a potential diagnostic biomarker for breast cancer by focusing on genes an‎d microRNAs, using integrated bioinformatics an‎d experimental approaches. In this study, four breast cancer–related microarray datasets were retrieved from the Gene Expression Omnibus (GEO) database. After data integration, differentially expressed genes (DEGs) were identified. Weighted gene co-expression network analysis (WGCNA) was performed to investigate gene co-expression patterns, an‎d the overlapping genes between DEGs an‎d significant co-expression modules were extracted. A protein–protein interaction (PPI) network of the common genes was constructed using Cytoscape software, an‎d based on various centrality measures, two key genes, including SGK2, were identified as target genes. Following functional enrichment analyses, miR-3187-3p was identified as a potential regulator associated with SGK2. Subsequently, the expression levels of miR-3187-3p was eva‎luated using RT-qPCR in breast cancer tissue samples, including 23 tumor samples an‎d 14 normal samples. The results demonstrated that the expression of miR-3187-3p was significantly decreased. These findings suggest that miR-3187-3p may serve as a potential diagnostic biomarker for breast cancer; however, further studies are required to validate its precise role.

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