EventsThe 1st International Online Conference on Personalized Medicine
Published
This submission belongs to the session S6. Precision Oncology of the event The 1st International Online Conference on Personalized Medicine
Published date
23 Oct, 2025
Academic Editor
author-avatarMasakazu Kamata
Citation
Irina Valerievna Pronina, Elena Filippova, The Development of the Regulatory Net of microRNA–mRNA Interactions in General Biological Processes and Signaling Pathways in Breast Cancer, in Proceedings of The 1st International Online Conference on Personalized Medicine, 29 October–31 October 2025, MDPI: Basel, Switzerland
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The Development of the Regulatory Net of microRNA–mRNA Interactions in General Biological Processes and Signaling Pathways in Breast Cancer

Elena Filippova 3
1. Emanuel Institute of Biochemical Physics, Russian Academy of Science, Moscow, 119334 Russia, Russia
2. Department of Physiology, Human Ecology and Medical and Biological Sciences, State University of Education, Moscow, 105005 Russia
3. Institute of General Pathology and Pathophysiology, Moscow, 125315 Russia, Russia
Abstract

The biological heterogeneity of breast cancer complicates the choice of an effective treatment. The participation of microRNAs in the regulation of target mRNAs in biological processes and signaling cascades makes them suitable for use as diagnostic and prognostic markers or targets for therapy.

The aim of our work was to analyze the expression of microRNAs in paired samples of tumor and adjacent normal breast tissue and to assess their potential cooperative participation in biological processes and signaling pathways.

The microRNA expression was analyzed using Taq Man MicroRNA Assay Kits. The differences between the groups were assessed using the nonparametric Mann–Whitney U test. Spearman's correlation coefficient was calculated to identify co-expression. Functional annotation and enrichment analysis concerning Gene Ontology terms and KEGG signaling pathways were performed in R (clusterProfiler, org.Hs.eg.db, enrichplot) (adj. p-value<0.05 according to Benjamini–Hochberg procedure).

Positive expression correlations were found for seven pairs of microRNAs: miR-127-5p/miR-125b-5p (Rs=0.47), miR-148a-3p/miR-125b-5p (Rs=0.44), miR-148a-3p/miR-132-3p (Rs=0.46), miR-193a-5p/miR-127-5p (Rs=0.51), miR-24-2-5p/miR-127-5p (Rs=0.43), miR-34b-3p/miR-193a-5p (Rs=0.54), and miR-34b-3p/miR-24-2-5p (Rs=0.58). Enrichment analysis revealed overlapping processes for four microRNA pairs: miR-127-5p/miR-125b-5p (28), miR-148a-3p/miR-125b-5p (355), miR-148a-3p/miR-132-3p (195), and miR-34b-3p/miR-193a-5p (three common processes). We constructed a regulatory net of microRNA–mRNA interactions. MiR-125b-5p was the central node in the net; it bound to multiple oncogenic and suppressor genes, including APC, BCL2, STAT3, and LDLR. Coincident targets such as APC and CDKN1A bound by multiple microRNAs suggest coordinated post-transcriptional regulation.

The constructed net demonstrates potentially significant regulatory axes linking microRNAs and their targets, highlighting their possible common roles in breast cancer pathogenesis.

Keywords
breast cancer
microRNAs
signaling pathways
expression regulation
Poster
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