Purpose of Review Myelofibrosis (MF) includes prefibrotic primary MF (pre-PMF), overt-PMF and secondary MF (SMF). Median overall survival (OS) of pre-PMF, overt-PMF and SMF patients is around 14 years, seven and nine years, respectively. Main causes of mortality are non-clonal progression and transformation into blast phase. Recent Findings Discoveries on the impact of the biological architecture on OS have led to the design of integrated scores to predict survival in PMF. For SMF, OS estimates should be calculated by the specific MYSEC-PM (MYelofibrosis SECondary-prognostic model). Information on the prognostic role of the molecular landscape in SMF is accumulating. Crucial treatment decisions for MF patients could be now supported by multivariable predictive algorithms. OS should become a relevant endpoint of clinical trials. Summary Prognostic models guide prediction of OS and treatment planning in MF, therefore, their timely application is critical in the personalized approach of MF patients.
Prognostic and Predictive Models in Myelofibrosis / B. Mora, C. Bucelli, D. Cattaneo, V. Bellani, F. Versino, K. Barbullushi, N. Fracchiolla, A. Iurlo, F. Passamonti. - In: CURRENT HEMATOLOGIC MALIGNANCY REPORTS. - ISSN 1558-8211. - 19:5(2024 Oct), pp. 223-235. [10.1007/s11899-024-00739-6]
Prognostic and Predictive Models in Myelofibrosis
D. Cattaneo;F. Versino;F. Passamonti
Ultimo
2024
Abstract
Purpose of Review Myelofibrosis (MF) includes prefibrotic primary MF (pre-PMF), overt-PMF and secondary MF (SMF). Median overall survival (OS) of pre-PMF, overt-PMF and SMF patients is around 14 years, seven and nine years, respectively. Main causes of mortality are non-clonal progression and transformation into blast phase. Recent Findings Discoveries on the impact of the biological architecture on OS have led to the design of integrated scores to predict survival in PMF. For SMF, OS estimates should be calculated by the specific MYSEC-PM (MYelofibrosis SECondary-prognostic model). Information on the prognostic role of the molecular landscape in SMF is accumulating. Crucial treatment decisions for MF patients could be now supported by multivariable predictive algorithms. OS should become a relevant endpoint of clinical trials. Summary Prognostic models guide prediction of OS and treatment planning in MF, therefore, their timely application is critical in the personalized approach of MF patients.File | Dimensione | Formato | |
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Mora B et al. Curr Hematol Malig Rep 2024.pdf
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