Genomic Landscape of Myelodysplastic/Myeloproliferative Neoplasms: A Multi-Central Study

The accurate diagnosis and classification of myelodysplastic/myeloproliferative neoplasm (MDS/MPN) are challenging due to the overlapping pathological and molecular features of myelodysplastic syndrome (MDS) and myeloproliferative neoplasm (MPN). We investigated the genomic landscape in different MD...

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Veröffentlicht in:International journal of molecular sciences 2024-09, Vol.25 (18), p.10214
Hauptverfasser: Fei, Fei, Jariwala, Amar, Pullarkat, Sheeja, Loo, Eric, Liu, Yan, Tizro, Parastou, Ali, Haris, Otoukesh, Salman, Amanam, Idoroenyi, Artz, Andrew, Ally, Feras, Telatar, Milhan, Nakamura, Ryotaro, Marcucci, Guido, Afkhami, Michelle
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Sprache:eng
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Zusammenfassung:The accurate diagnosis and classification of myelodysplastic/myeloproliferative neoplasm (MDS/MPN) are challenging due to the overlapping pathological and molecular features of myelodysplastic syndrome (MDS) and myeloproliferative neoplasm (MPN). We investigated the genomic landscape in different MDS/MPN subtypes, including chronic myelomonocytic leukemia (CMML; n = 97), atypical chronic myeloid leukemia (aCML; n = 8), MDS/MPN-unclassified (MDS/MPN-U; n = 44), and MDS/MPN with ring sideroblasts and thrombocytosis (MDS/MPN-RS-T; n = 12). Our study indicated that MDS/MPN is characterized by mutations commonly identified in myeloid neoplasms, with (52%) being the most frequently mutated gene, followed by (38.7%), (34.7%), and (19.7%), among others. However, the distribution of recurrent mutations differs across the MDS/MPN subtypes. We confirmed that specific gene combinations correlate with specific MDS/MPN subtypes (e.g., in CMML, in aCML, and in MDS/MPN-RS-T), with MDS/MPN-U being the most heterogeneous. Furthermore, we found that older age (≥65 years) and mutations in and were associated with poorer clinical outcomes in CMML ( < 0.05) by multivariate analysis. In MDS/MPN-U, mutations ( < 0.05) were the sole negative prognostic factors identified in our study by multivariate analysis ( < 0.05). Overall, our study provides genetic insights into various MDS/MPN subtypes, which may aid in diagnosis and clinical decision-making for patients with MDS/MPN.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms251810214