Incorporation of genomic determinants improves diagnostic accuracy of oligomonocytic chronic myelomonocytic leukemia
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ABSTRACT: Recent updates to the monocyte count thresholds for diagnosing chronic myelomonocytic leukemia (CMML) have been implemented to recognize oligomonocytic CMML (OM-CMML) as an early stage within the CMML spectrum. However, the clinical validity of these changes remains uncertain without considering biological factors. In this study, we compared a large cohort of patients (N=911) with OM-CMML (n=249), CMML (n=359), and myelodysplastic syndromes (n=303) using unsupervised clustering to assess the role of genomic determinants in improving CMML diagnostic accuracy. Our findings show that CMML molecular signatures, characterized by biallelic TET2 mutations or SRSF2-TET2 co-mutations, are associated with a distinct transcriptome, monocytic bias, classical monocytosis, and progression to overt CMML in OM-CMML cases. By developing a weighted and reproducible model, we demonstrate that genomic features, combined with bone marrow monocyte frequencies, can reliably predict CMML progression in OM-CMML. These results support the integration of genomic determinants into the CMML diagnostic framework to enhance diagnostic accuracy and suggest that incorporation of our proposed clinic-ready diagnostic workflow into clinical practice might reliably identify early stage CMML with oligomonocytic features.
ORGANISM(S): Homo sapiens
PROVIDER: GSE314218 | GEO | 2025/12/31
REPOSITORIES: GEO
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