Identification of key pathways and molecular players potentially involved in endometrial cancer metastasis through integrated bioinformatics analyses
Rezazadeh M. Danaei-Mehrabad S. Zakariya N.A. Kazemi F. Moslehian M.S. Tamadon A. Shirazi R. Mahdipour M. Hakimi P.
2025Tabriz University of Medical Sciences
BioImpacts
2025#15
Introduction: Endometrial cancer (EC) is a particularly frequent gynecological cancer, and metastasis is the leading cause of death in patients with EC. Using publicly accessible gene expression data, a bioinformatics study was carried out to increase our knowledge and reveal treatment targets for EC metastasis. This study aimed to identify new important molecular actors and clarify the molecular processes and pathways underlying EC metastasis. Methods: The GEOexplorer and R programming languages were used to analyze and visualize gene expression data from EC metastatic gene expression datasets, and differentially expressed genes (DEGs) and differentially expressed lncRNAs (DElncRNAs) were identified using bioinformatics with P-value thresholds of < 0.05, and |log2FC| > 1.5. KEGG pathway enrichment analysis and gene ontology enrichment was used to enrich the observed DEGs, protein-protein interactions were established, and hub genes were identified. Results: The findings revealed that DEGs were considerably enriched in a number of pathways, including the Pathways in cancer, Breast cancer, and Rap1 signaling pathway. DEGs were also found to be involved in a number of biological processes, cellular components, and molecular activities. The PPI network included the hub genes CTNNB1, FGFR3, ESR1, and SRSF3 as well as a number of DElncRNAs, such as LINC01541, SNHG17, LINC00520, BHLHE22-AS1, LOC100509445, H19, and HOTAIRM1. Conclusion: This study contributes to our understanding of the molecular processes driving EC metastasis, which may result in the development of new treatment targets and indicators for the early identification of EC metastasis. More studies are needed to validate these findings and to understand the functional roles of these key factors in EC metastasis.
Bioinformatics analysis , Endometrial cancer , Hub genes , lncRNAs , Metastasis , Pathway enrichment
Text of the article Перейти на текст статьи
Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Department of Gynecology, Eastern Azerbaijan ACECR ART Center, Eastern Azerbaijan Branch of ACECR, Tabriz, Iran
Womens Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
Department of Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
Stem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
Department of Research and Development, PerciaVista R&D Co., Shiraz, Iran
Department of Anatomy, School of Biomedical Sciences, Medicine & Health, UNSW Sydney, Sydney, Australia
Department of Reproductive Biology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
Department of Medical Genetics
Department of Gynecology
Womens Reproductive Health Research Center
Stem Cell Research Center
Department of Natural Sciences
Stem Cells Technology Research Center
Department of Research and Development
Department of Anatomy
Department of Reproductive Biology
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026