Bioinformatics analysis investigating the association between the potential biomarker MMP10 gene and its related miRNA in leukemia.
Mehdi Roshanian,1,*faribirz moghadam,2abbas zabihi,3shima ghasemi,4Fatemeh gharakhani,5
1. Department of Biology, faculty of basic sciences, Islamic Azad University, hamedan, Iran. 2. Department of Biology, faculty of basic sciences, Islamic Azad University, tehran, Iran. 3. Department of Biology, faculty of basic sciences, Islamic Azad University, rasht, Iran. 4. Department of Biology, faculty of basic sciences, Islamic Azad University, hamedan, Iran. 5. Department of Biology, faculty of basic sciences, Islamic Azad University, hamedan, Iran.
Introduction: Leukemia is the most prevalent form of cancer among children aged 0–14 years. Research indicates that incidence rates are rising or remaining unchanged in several countries worldwide, while mortality rates are declining. In developed nations, leukemia is regarded as a treatable disease, with survival rates exceeding 80%. . Bioinformatics analyses were conducted to identify genes showing differential expression during the development and progression of leukemia.
Methods: The GSE90062 dataset was retrieved from GEO to identify differentially expressed genes (DEGs) by comparing three AML patient samples with three healthy samples in a leukemia cancer microarray study. GEO2R was applied to these DEGs to compare AML samples with non-cancerous samples. Statistical significance was determined by an adjusted P-value < 0.01 and a log2 fold change > 3. Gene functions were classified using the DAVID database, while pathway analysis was performed with the Kyoto Encyclopedia of Genes and Genomes (KEGG). miRDB was used to identify microRNAs targeting MMP10, while miRTargetLink 2.0 was employed to investigate interactions between the selected microRNA and associated genes.
Results: A total of 47 DEGs were identified. DAVID database analysis showed that MMP10 is a gene involved in extracellular matrix degradation. In certain cancers, increased expression of this gene has been found to enhance cell migratability and promote their progression toward a malignant state. Therefore, inhibition of MMP10 expression may lead to reduced migratory capacity of blood cells and inhibition of leukemia cells. Our analysis also suggested that hsa-miR-367-3p may suppress MMP10 expression, potentially resulting in reduced migratory capacity of blood cells in AML cells.
Conclusion: Bioinformatics analyses suggest that MMP10 may be a potential biomarker associated with cell migration in leukemia. hsa-miR-367-3p could be explored as a therapeutic approach to reduce MMP10 expression and suppress tumor-cell proliferation.