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Multicenter retrospective study demonstrates superior prognostic accuracy of IPSS-M across non-CMML MDS/MPN syndromes, indicating the need for genomic stratification in unclassifiable disease.
MDS/MPN syndromes comprise a heterogeneous group of myeloid neoplasms. While CMML has been extensively characterized, data on other MDS/MPN entities remain limited, particularly in real-world settings. We conducted a nationwide, multicenter retrospective study including adult patients with MDS/MPN syndromes other than CMML from 17 Italian centers. Patients were classified as MDS/MPN with SF3B1 mutation and thrombocytosis ( SF3B1 -T), atypical chronic myeloid leukemia/chronic neutrophilic leukemia (aCML/CNL), or MDS/MPN not otherwise specified (NOS). A total of 101 patients were included (median age 71 years). MDS/MPN SF3B1 -T showed a significant survival advantage compared with MDS/MPN NOS and aCML/CNL (OS p = 0.0058, LFS p = 0.012). aCML/CNL displayed the worst outcomes and most genetic complexity. Across the overall cohort, IPSS-M demonstrated the highest discriminative ability and calibration accuracy for both OS and LFS, outperforming CMML-directed models, including BLAST-clinical and BLAST-molecular whereas disease-specific scores provided optimal stratification within individual entities but failed to adequately predict outcomes in MDS/MPN NOS. In this real-world analysis, IPSS-M emerged as the most robust prognostic framework across MDS/MPN entities other than CMML. The inability of current tools to reliably stratify patients with MDS/MPN NOS underscores the biological heterogeneity of this category and highlights the urgent need for integrated clinical and genomic prognostic models.
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Guarnera et al. (2026) studied this question.
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