Disrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML

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Özet

Background: Myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are clonal stem cell disorders in which disrupted post-transcriptional regulation contributes to aberrant hematopoiesis and leukemic transformation. The miRNA biogenesis machinery, which comprises Drosha, DGCR8, Dicer, TARBP2, and AGO1, ensures the precise maturation of miRNAs that control lineage commitment and proliferation. However, the extent to which alterations in this pathway reshape hematopoietic gene networks during myeloid disease evolution remains largely unexplored. Methods: Bone marrow samples from newly diagnosed, untreated MDS and AML patients and matched healthy controls were analyzed for the expression of five key miRNA biogenesis genes using quantitative real-time PCR. Statistical comparisons, correlation matrices, and ROC analyses were performed to characterize gene-expression differences. These results were integrated with multigene logistic modeling, decision-curve analysis, and exploratory random forest/SHAP approaches to evaluate molecular interactions and diagnostic relevance. Results: DROSHA, DICER1, and TARBP2 were significantly downregulated in both MDS and AML, suggesting impaired miRNA maturation and a loss of global post-transcriptional control. DGCR8 expression increased across higher-risk MDS groups, suggesting compensatory activation of the Microprocessor complex, whereas AGO1 levels remained relatively stable, consistent with partial maintenance of RISC function. Correlation analyses revealed a co-regulated DROSHA–TARBP2–AGO1 module. ROC, logistic, and machine learning models identified DGCR8 and DICER1 as the strongest diagnostic discriminators. The integrated five-gene signature achieved high discriminative performance (AUC ≈ 0.98) and showed promise but remains preliminary potential for clinical application. Conclusions: Our findings suggest that defects in miRNA biogenesis disrupt hematopoietic homeostasis, reflecting common mechanisms in MDS and AML. The dysregulation of DICER1, DGCR8, and TARBP2 offers insights into miRNA-driven leukemogenesis and may pave the way for miRNA-based diagnostic and therapeutic strategies, pending validation in larger cohorts. Although transcript-level data are provided, future studies should include functional validation to determine the impact on downstream miRNA processing and hematopoietic pathways.

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AlanDeğerDil
dc.contributor.authorÇevik, Kenan
dc.contributor.authorAy, Mustafa Ertan
dc.contributor.authorTombak, Anıl
dc.contributor.authorAy, Özlem İzci
dc.contributor.authorKarakaş, Ümit
dc.contributor.authorErdal, Mehmet Emin
dc.date.accessioned2026-10-29T19:10:00.243650167Z
dc.date.available2026-10-29T19:10:00.243650167Z
dc.date.issued2025
dc.description.abstractBackground: Myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are clonal stem cell disorders in which disrupted post-transcriptional regulation contributes to aberrant hematopoiesis and leukemic transformation. The miRNA biogenesis machinery, which comprises Drosha, DGCR8, Dicer, TARBP2, and AGO1, ensures the precise maturation of miRNAs that control lineage commitment and proliferation. However, the extent to which alterations in this pathway reshape hematopoietic gene networks during myeloid disease evolution remains largely unexplored. Methods: Bone marrow samples from newly diagnosed, untreated MDS and AML patients and matched healthy controls were analyzed for the expression of five key miRNA biogenesis genes using quantitative real-time PCR. Statistical comparisons, correlation matrices, and ROC analyses were performed to characterize gene-expression differences. These results were integrated with multigene logistic modeling, decision-curve analysis, and exploratory random forest/SHAP approaches to evaluate molecular interactions and diagnostic relevance. Results: DROSHA, DICER1, and TARBP2 were significantly downregulated in both MDS and AML, suggesting impaired miRNA maturation and a loss of global post-transcriptional control. DGCR8 expression increased across higher-risk MDS groups, suggesting compensatory activation of the Microprocessor complex, whereas AGO1 levels remained relatively stable, consistent with partial maintenance of RISC function. Correlation analyses revealed a co-regulated DROSHA–TARBP2–AGO1 module. ROC, logistic, and machine learning models identified DGCR8 and DICER1 as the strongest diagnostic discriminators. The integrated five-gene signature achieved high discriminative performance (AUC ≈ 0.98) and showed promise but remains preliminary potential for clinical application. Conclusions: Our findings suggest that defects in miRNA biogenesis disrupt hematopoietic homeostasis, reflecting common mechanisms in MDS and AML. The dysregulation of DICER1, DGCR8, and TARBP2 offers insights into miRNA-driven leukemogenesis and may pave the way for miRNA-based diagnostic and therapeutic strategies, pending validation in larger cohorts. Although transcript-level data are provided, future studies should include functional validation to determine the impact on downstream miRNA processing and hematopoietic pathways.
dc.description.sponsorshipMersin Üniversitesi, (2015-TP3-1205)
dc.identifier.articlenumber3082
dc.identifier.doi10.3390/biomedicines13123082
dc.identifier.eissn2227-9059
dc.identifier.issn2227-9059
dc.identifier.issue12
dc.identifier.pmcidPMC12730432
dc.identifier.pmid41463093
dc.identifier.scopus2-s2.0-105025937853
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12766
dc.identifier.volume13
dc.identifier.wosWOS:001646915500001
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofBiomedicines
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAML
dc.subjectDROSHA/DICER1 genes dysregulation
dc.subjectMDS
dc.subjectmiRNA biogenesis
dc.subjectprecision diagnostics
dc.subject.classificationBiochemistry & Molecular Biology
dc.subject.classificationMedicine, Research & Experimental
dc.subject.classificationPharmacology & Pharmacy
dc.subject.classificationResearch & Experimental Medicine
dc.subject.otherargonaute 1 protein
dc.subject.otherdicer
dc.subject.otherdrosha protein
dc.subject.othermicroRNA
dc.subject.otherprotein
dc.subject.otherRNA binding protein
dc.subject.othertrans activation response RNA binding protein 2
dc.subject.otherunclassified drug
dc.subject.otheracute myeloid leukemia
dc.subject.otheradult
dc.subject.otheraged
dc.subject.otheralcohol consumption
dc.subject.otherArticle
dc.subject.otherbiogenesis
dc.subject.otherbiogenesis machinery reveal
dc.subject.otherbone marrow cell
dc.subject.othercell proliferation
dc.subject.othercell structure
dc.subject.otherchemotherapy
dc.subject.othercohort analysis
dc.subject.othercontrolled study
dc.subject.otherdown regulation
dc.subject.otherfemale
dc.subject.othergene expression
dc.subject.othergene network analysis
dc.subject.otherhomeostasis
dc.subject.otherhuman
dc.subject.otherInternational Prognostic Scoring System
dc.subject.otherleukemogenesis
dc.subject.othermachine learning
dc.subject.othermale
dc.subject.othermiddle aged
dc.subject.othermolecular pathway
dc.subject.othermyelodysplastic syndrome
dc.subject.otherpathway analysis
dc.subject.otherrandom forest
dc.subject.otherreceiver operating characteristic
dc.subject.otherreverse transcription polymerase chain reaction
dc.subject.otherRNA extraction
dc.subject.othersmoking
dc.titleDisrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML
dc.typeArticle
rdl.citation.scopus0
rdl.citation.wos0
rdl.departmentDepartment of Medical Biology and Genetics, Faculty of Medicine, Mersin University, 33343 Mersin, Türkiye
rdl.departmentDepartment of Hematology, Faculty of Medicine, Mersin University, 33343 Mersin, Türkiye
rdl.departmentDepartment of Pharmacy Services, Health Services Vocational School, Bayburt University, 69000 Bayburt, Türkiye
rdl.oa.statusgold
rdl.oa.statusgreen
rdl.oa.urlhttps://www.mdpi.com/2227-9059/13/12/3082/pdf?version=1765699367
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)