Abstract
Polycythemia vera (PV) and essential thrombocythemia (ET) are myeloproliferative neoplasms with variable risk of evolution into post-PV and post-ET myelofibrosis, from now on referred to as secondary myelofibrosis (SMF). No specific tools have been defined for risk stratification in SMF. To develop a prognostic model for predicting survival, we studied 685 JAK2, CALR, and MPL annotated patients with SMF. Median survival of the whole cohort was 9.3 years (95% CI: 8-not reached-NR-). Through penalized Cox regressions we identified negative predictors of survival and according to beta risk coefficients we assigned 2 points to hemoglobin level <11 g/dl, to circulating blasts ⩾3%, and to CALR-unmutated genotype, 1 point to platelet count <150 × 109/l and to constitutional symptoms, and 0.15 points to any year of age. Myelofibrosis Secondary to PV and ET-Prognostic Model (MYSEC-PM) allocated SMF patients into four risk categories with different survival (P<0.0001): low (median survival NR; 133 patients), intermediate-1 (9.3 years, 95% CI: 8.1-NR; 245 patients), intermediate-2 (4.4 years, 95% CI: 3.2–7.9; 126 patients), and high risk (2 years, 95% CI: 1.7–3.9; 75 patients). Finally, we found that the MYSEC-PM represents the most appropriate tool for SMF decision-making to be used in clinical and trial settings.
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Acknowledgements
This work was supported by a grant from the Associazione Italiana per la Ricerca sul Cancro (AIRC; Milano, Italy), Special Program Molecular Clinical Oncology 5 × 1000 to AIRC-Gruppo Italiano Malattie Mieloproliferative (AGIMM) project #1005. A complete list of AGIMM investigators is available at http://www.progettoagimm.it. P.G. also received funding by AIRC IG2014-15967 and by the Ministero della Salute (project code GR-2011-02352109). The Varese group was also supported by grants from the Fondazione Matarelli (Milano, Italy), Fondazione Rusconi (Varese, Italy) and AIL Varese ONLUS. MC and FP were supported by a grant from the Fondazione Regionale Ricerca Biomedica (FRRB), Regione Lombardia. RTS was supported in part by the Cancer Research and Treatment Fund, Inc., New York, NY.
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Passamonti, F., Giorgino, T., Mora, B. et al. A clinical-molecular prognostic model to predict survival in patients with post polycythemia vera and post essential thrombocythemia myelofibrosis. Leukemia 31, 2726–2731 (2017). https://doi.org/10.1038/leu.2017.169
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DOI: https://doi.org/10.1038/leu.2017.169
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