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ÇELENK, Kübra, ÇAKMAK, Esen. (1405). Integrated in Silico Analysis Reveals miR-551b-3p as a Potential Tumor Suppressor and Prognostic Biomarker in Breast Cancer. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/mejc.2026.110333.2395
Kübra Su Eda ÇELENK; Esen ÇAKMAK. "Integrated in Silico Analysis Reveals miR-551b-3p as a Potential Tumor Suppressor and Prognostic Biomarker in Breast Cancer". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.30476/mejc.2026.110333.2395
ÇELENK, Kübra, ÇAKMAK, Esen. (1405). 'Integrated in Silico Analysis Reveals miR-551b-3p as a Potential Tumor Suppressor and Prognostic Biomarker in Breast Cancer', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/mejc.2026.110333.2395
ÇELENK, Kübra, ÇAKMAK, Esen. Integrated in Silico Analysis Reveals miR-551b-3p as a Potential Tumor Suppressor and Prognostic Biomarker in Breast Cancer. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.30476/mejc.2026.110333.2395

Integrated in Silico Analysis Reveals miR-551b-3p as a Potential Tumor Suppressor and Prognostic Biomarker in Breast Cancer

Middle East Journal of Cancer
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 دی 1405    اصل مقاله (654.69 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2026.110333.2395
نویسندگان
Kübra Su Eda ÇELENK1؛ Esen ÇAKMAK* 2
1Department of Food Engineering, Graduate School of Natural and Applied Sciences, Kahramanmaraş Sütcü Imam University, Kahramanmaraş, Turkey
2Department of Bioengineering and Sciences, Graduate School of Natural and Applied Sciences, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey TURKEY
چکیده
Background: Tumor progression in breast cancer is largely driven by microRNA-mediated post-transcriptional regulatory networks; however, the biological and clinical roles of miR-551b-3p remain insufficiently defined. The present study aimed to characterize the expression profile, molecular interactions, and prognostic relevance of miR-551b-3p in breast cancer via in silico analyses.
Method: Designed as an in silico bioinformatic analysis, weassessed miR-551b-3p expression and clinical correlations using the University of Alabama at Birmingham Cancer data analysis portal (UALCAN) and OncomiR. Associated transcription factors were retrieved from TransmiR v3.0, functional enrichment was performed using the Protein Analysis Through Evolutionary Relationships suite, and survival outcomes were evaluated using Kaplan–Meier Plotter. Statistical significance was evaluated via UALCAN, OncomiR, and KM-Plotter using t-tests, ANOVA, and log-rank tests, with the threshold set at P < 0.05.
Results: Our analyses revealed a significant downregulation of miR-551b-3p in breast tumor tissues (log-fold change [log-FC] = -1.1, P < 0.0001). TEAD1, protein tyrosine kinase 2, SMG1, TIMELESS, SLC5A3, and NUP93 emerged as strong target genes, implicating key pathways involved in proliferation, DNA damage response, and metastatic progression. Furthermore, central transcription factors such as E2F1, ESR1, FOXA1, CBX3, and RAD21 were associated with reduced miR-551b-3p expression. In silico screening identified lncRNAs AC069281.2/AL359258.1 and USP9X/TMEM2-derived circRNAs as potential target-directed microRNA degradation (TDMD) candidates Clinically, miR-551b-3p downregulation associated with metastasis and unfavorable survival, serving as a supplementary molecular indicator.
Conclusion: Collectively, these findings support miR-551b-3p as a potential tumor suppressor and prognostic biomarker in breast cancer, warranting further experimental validation.
کلیدواژه‌ها
MicroRNAs؛ Breast neoplasms؛ Computational biology؛ Gene expression regulation؛ Survival analysis
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