PURPOSE: The definition of disease-specific prognostic scores plays a fundamental role in the treatment decision-making process in myelodysplastic syndrome (MDS), a group of myeloid disorders characterized by a heterogeneous clinical behavior. PATIENTS AND METHODS: We applied the recently published Revised International Prognostic Scoring System (IPSS-R) to 380 patients with MDS, registered in an Italian regional database, recruiting patients from the city of Rome (Gruppo Romano Mielodisplasie). Patients were selected based on the availability of IPSS-R prognostic factors, including complete peripheral-blood and bone marrow counts, informative cytogenetics, and follow-up data. RESULTS: We validated the IPSS-R score as a significant predictor of overall survival (OS) and leukemia-free survival (LFS) in MDS (P < .001 for both). When comparing the prognostic value of the International Prognostic Scoring System (IPSS), WHO Prognostic Scoring System (WPSS), and IPSS-R, using the Cox regression model and the likelihood ratio test, a significantly higher predictive power for LFS and OS became evident for the IPSS-R, compared with the IPSS and WPSS (P < .001 for both). The multivariate analysis, including IPSS, WPSS, age, lactate dehydrogenase, ferritin concentration, Eastern Cooperative Oncology Group performance status, transfusion dependency, and type of therapy, confirmed the significant prognostic value of IPSS-R subgroups for LFS and OS. Treatment with lenalidomide and erythropoiesis-stimulating agents was shown to be an independent predictor of survival in the multivariate analysis. CONCLUSION: Our data confirm that the IPSS-R is an excellent prognostic tool in MDS in the era of disease-modifying treatments. The early recognition of patients at high risk of progression to aggressive disease may optimize treatment timing in MDS.
PURPOSE: The definition of disease-specific prognostic scores plays a fundamental role in the treatment decision-making process in myelodysplastic syndrome (MDS), a group of myeloid disorders characterized by a heterogeneous clinical behavior. PATIENTS AND METHODS: We applied the recently published Revised International Prognostic Scoring System (IPSS-R) to 380 patients with MDS, registered in an Italian regional database, recruiting patients from the city of Rome (Gruppo Romano Mielodisplasie). Patients were selected based on the availability of IPSS-R prognostic factors, including complete peripheral-blood and bone marrow counts, informative cytogenetics, and follow-up data. RESULTS: We validated the IPSS-R score as a significant predictor of overall survival (OS) and leukemia-free survival (LFS) in MDS (P < .001 for both). When comparing the prognostic value of the International Prognostic Scoring System (IPSS), WHO Prognostic Scoring System (WPSS), and IPSS-R, using the Cox regression model and the likelihood ratio test, a significantly higher predictive power for LFS and OS became evident for the IPSS-R, compared with the IPSS and WPSS (P < .001 for both). The multivariate analysis, including IPSS, WPSS, age, lactate dehydrogenase, ferritin concentration, Eastern Cooperative Oncology Group performance status, transfusion dependency, and type of therapy, confirmed the significant prognostic value of IPSS-R subgroups for LFS and OS. Treatment with lenalidomide and erythropoiesis-stimulating agents was shown to be an independent predictor of survival in the multivariate analysis. CONCLUSION: Our data confirm that the IPSS-R is an excellent prognostic tool in MDS in the era of disease-modifying treatments. The early recognition of patients at high risk of progression to aggressive disease may optimize treatment timing in MDS.
Authors: Brett M Stevens; Wei Zhang; Daniel A Pollyea; Amanda Winters; Jonathan Gutman; Clayton Smith; Elizabeth Budde; Stephen J Forman; Craig T Jordan; Enkhtsetseg Purev Journal: Exp Hematol Date: 2019-05-25 Impact factor: 3.084
Authors: M G Della Porta; H Tuechler; L Malcovati; J Schanz; G Sanz; G Garcia-Manero; F Solé; J M Bennett; D Bowen; P Fenaux; F Dreyfus; H Kantarjian; A Kuendgen; A Levis; J Cermak; C Fonatsch; M M Le Beau; M L Slovak; O Krieger; M Luebbert; J Maciejewski; S M M Magalhaes; Y Miyazaki; M Pfeilstöcker; M A Sekeres; W R Sperr; R Stauder; S Tauro; P Valent; T Vallespi; A A van de Loosdrecht; U Germing; D Haase; P L Greenberg; M Cazzola Journal: Leukemia Date: 2015-02-27 Impact factor: 11.528
Authors: Amer M Zeidan; Ju-Whei Lee; Thomas Prebet; Peter Greenberg; Zhuoxin Sun; Mark Juckett; Mitchell R Smith; Elisabeth Paietta; Janice Gabrilove; Harry P Erba; Rhett P Katterling; Martin S Tallman; Steven D Gore Journal: Br J Haematol Date: 2014-07-04 Impact factor: 6.998