Transcriptomic Insights into Gene and miRNA Dynamics Shaping EMT in Multiple Myeloma

АУТОР(И) / AUTHOR(S): Halime Sena Ekmekci, Oguzhan Akgun, Aysen Sagnak, Elif Erturk, Fazıl Cagri Hunutlu, Tuba Ersal, Fahir Ozkalemkas, Vildan Ozkocaman, Hulya Ozturk Nazlioglu, Ferda Ari

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DOI:  10.46793/ICCBIKG25.315E

САЖЕТАК / ABSTRACT:

Multiple myeloma (MM) is characterized by the proliferation of plasma cells (PCs) within the bone marrow microenvironment. While usually confined to the bone marrow, MM can spread through subclones that form plasmacytomas. Extramedullary disease (EMD) represents an aggressive form of MM, in which a clone or subclone grows independently of the bone marrow microenvironment. Epithelial–mesenchymal transition (EMT) is a process in which epithelial cells lose adhesion properties and acquire invasive, mesenchymal traits. A limited number of studies suggest that EMT-like features in MM may contribute to the development of EMD; however, the role of EMT in MM remains unclear. In this study, potential EMT-related biomarkers in MM were investigated using bioinformatic approaches. A total of 963 EMT-related genes were identified by screening five databases, and 689 corresponding miRNAs were determined using the mirNet package in R. The association of the identified genes and miRNAs with MM was evaluated using expression data from 45 MM patient samples in the GSE125364 dataset from the NCBI GEO database. Differentially expressed genes and miRNAs were ranked using the degree scoring method, and the top 20 genes and 20 miRNAs significantly associated with MM were identified. These findings may provide valuable insights into the role of the EMT process in MM.

КЉУЧНЕ РЕЧИ / KEYWORDS:

multiple myeloma, EMD, EMT, bioinformatics

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

This research is supported by the Bursa Uludağ University Research Fund under project number TGA-2024-1921. We thank Bursa Uludag Molecular Cancer Research Laboratory (BUMKAL) for their valuable support and contributions to this study.

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