Disrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML
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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Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Çevik, Kenan | |
| dc.contributor.author | Ay, Mustafa Ertan | |
| dc.contributor.author | Tombak, Anıl | |
| dc.contributor.author | Ay, Özlem İzci | |
| dc.contributor.author | Karakaş, Ümit | |
| dc.contributor.author | Erdal, Mehmet Emin | |
| dc.date.accessioned | 2026-10-29T19:10:00.243650167Z | |
| dc.date.available | 2026-10-29T19:10:00.243650167Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | Mersin Üniversitesi, (2015-TP3-1205) | |
| dc.identifier.articlenumber | 3082 | |
| dc.identifier.doi | 10.3390/biomedicines13123082 | |
| dc.identifier.eissn | 2227-9059 | |
| dc.identifier.issn | 2227-9059 | |
| dc.identifier.issue | 12 | |
| dc.identifier.pmcid | PMC12730432 | |
| dc.identifier.pmid | 41463093 | |
| dc.identifier.scopus | 2-s2.0-105025937853 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/bayburt/12766 | |
| dc.identifier.volume | 13 | |
| dc.identifier.wos | WOS:001646915500001 | |
| dc.language.iso | en | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.ispartof | Biomedicines | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | AML | |
| dc.subject | DROSHA/DICER1 genes dysregulation | |
| dc.subject | MDS | |
| dc.subject | miRNA biogenesis | |
| dc.subject | precision diagnostics | |
| dc.subject.classification | Biochemistry & Molecular Biology | |
| dc.subject.classification | Medicine, Research & Experimental | |
| dc.subject.classification | Pharmacology & Pharmacy | |
| dc.subject.classification | Research & Experimental Medicine | |
| dc.subject.other | argonaute 1 protein | |
| dc.subject.other | dicer | |
| dc.subject.other | drosha protein | |
| dc.subject.other | microRNA | |
| dc.subject.other | protein | |
| dc.subject.other | RNA binding protein | |
| dc.subject.other | trans activation response RNA binding protein 2 | |
| dc.subject.other | unclassified drug | |
| dc.subject.other | acute myeloid leukemia | |
| dc.subject.other | adult | |
| dc.subject.other | aged | |
| dc.subject.other | alcohol consumption | |
| dc.subject.other | Article | |
| dc.subject.other | biogenesis | |
| dc.subject.other | biogenesis machinery reveal | |
| dc.subject.other | bone marrow cell | |
| dc.subject.other | cell proliferation | |
| dc.subject.other | cell structure | |
| dc.subject.other | chemotherapy | |
| dc.subject.other | cohort analysis | |
| dc.subject.other | controlled study | |
| dc.subject.other | down regulation | |
| dc.subject.other | female | |
| dc.subject.other | gene expression | |
| dc.subject.other | gene network analysis | |
| dc.subject.other | homeostasis | |
| dc.subject.other | human | |
| dc.subject.other | International Prognostic Scoring System | |
| dc.subject.other | leukemogenesis | |
| dc.subject.other | machine learning | |
| dc.subject.other | male | |
| dc.subject.other | middle aged | |
| dc.subject.other | molecular pathway | |
| dc.subject.other | myelodysplastic syndrome | |
| dc.subject.other | pathway analysis | |
| dc.subject.other | random forest | |
| dc.subject.other | receiver operating characteristic | |
| dc.subject.other | reverse transcription polymerase chain reaction | |
| dc.subject.other | RNA extraction | |
| dc.subject.other | smoking | |
| dc.title | Disrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML | |
| dc.type | Article | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.department | Department of Medical Biology and Genetics, Faculty of Medicine, Mersin University, 33343 Mersin, Türkiye | |
| rdl.department | Department of Hematology, Faculty of Medicine, Mersin University, 33343 Mersin, Türkiye | |
| rdl.department | Department of Pharmacy Services, Health Services Vocational School, Bayburt University, 69000 Bayburt, Türkiye | |
| rdl.oa.status | gold | |
| rdl.oa.status | green | |
| rdl.oa.url | https://www.mdpi.com/2227-9059/13/12/3082/pdf?version=1765699367 | |
| rdl.scopus.quartile | Q1 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.source.index | PUBMED | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
