A clinical-molecular prognostic model to predict survival in patients with post polycythemia vera and post essential thrombocythemia myelofibrosis

  • F. Passamonti
  • , T. Giorgino
  • , B. Mora
  • , P. Guglielmelli
  • , E. Rumi
  • , M. Maffioli
  • , A. Rambaldi
  • , M. Caramella
  • , R. Komrokji
  • , J. Gotlib
  • , J. J. Kiladjian
  • , F. Cervantes
  • , T. Devos
  • , F. Palandri
  • , Valerio De Stefano
  • , M. Ruggeri
  • , R. T. Silver
  • , G. Benevolo
  • , F. Albano
  • , D. Caramazza
  • M. Merli, D. Pietra, R. Casalone, G. Rotunno, T. Barbui, M. Cazzola, A. M. Vannucchi

Risultato della ricerca: Contributo in rivistaArticolo

116 Citazioni (Scopus)

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 o 11 g/dl, to circulating blasts 3%, and to CALR-unmutated genotype, 1 point to platelet count o 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 o 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.
Lingua originaleInglese
pagine (da-a)2726-2731
Numero di pagine6
RivistaLeukemia
Volume31
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • Cancer Research, Secondary Myelofibrosis, Prognostic Model

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