Sotirios G Papageorgiou1, Ioannis Kotsianidis2, Anthi Bouchla3, Argyris Symeonidis4, Athanasios Galanopoulos4, Nora-Athina Viniou4, Eleftheria Hatzimichael5, Theodoros P Vassilakopoulos6, Dimitrios Gogos7, Aikaterini Megalakaki8, Panagiotis Zikos9, Panagiotis Diamantopoulos10, Alexandra Kourakli11, Panagiota Giannoulia12, Menelaos Papoutselis2, Elias Poulakidas13, Maria Arapaki6, Anna Vardi14, Achilles Anagnostopoulos14, Despoina Mparmparousi15, Maria Papaioannou16, Eleni Bouronikou17, Maria Dimou18, Helen Papadaki19, Panayiotis Panayiotidis18, Vasiliki Pappa3. 1. Consultant of Hematology, Second Department of Internal Medicine and Research Unit, University General Hospital "Attikon", 1 Rimini St., Haidari, Athens, 12462, Greece. 2. Department of Hematology, Democritus University of Thrace Medical School, University Hospital of Alexandroupolis, Alexandroupolis, Greece. 3. Second Department of Internal Medicine and Research Unit, University General Hospital "Attikon", Haidari, Athens, Greece. 4. The Hellenic (Greek) MDS Study Group, Greece. 5. University Hospital of Ioannina, Ioannina, Greece. 6. Department of Hematology, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece. 7. General Hospital "Bostanio" Mytilini, Greece. 8. Department of Hematology, "Metaxa" Piraeus Cancer Hospital, Piraeus, Greece. 9. General Hospital of Patras "Agios Andreas", Patras, Greece. 10. Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece. 11. General University Hospital of Patras, Rio Patron, Patras, Greece. 12. Department of Hematology, "Evangelismos" Hospital, Athens, Greece. 13. "401" Army General Hospital of Athens, Mesogeion and Kanellopoulou 1, Athens, Greece. 14. Hematology Department, General Hospital of Thessaloniki "George Papanikolaou", Thessaloniki, Greece. 15. Department of Clinical Therapeutics, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece. 16. Hematology Department, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece. 17. University General Hospital of Larissa, Mezourlo, Larissa, Greece. 18. First Propaedeutic Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece. 19. University General Hospital of Heraklion, Voutes, Heraklion, Greece.
Abstract
BACKGROUND: 5-azacytidine (5-AZA) improves survival of patients with higher-risk myelodysplastic syndromes (MDSs) and oligoblastic acute myeloid leukemia (AML); however, predictive factors for response and outcome have not been consistently studied. METHODS: This study of the Hellenic MDS Study Group included 687 consecutive patients with higher-risk MDS and oligoblastic AML treated with 5-AZA. RESULTS: The International Prognostic Scoring System (IPSS) revised version (IPSS-R), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (0 or 1 versus ⩾2) and baseline serum ferritin (SF) levels > 520 ng/ml were shown to independently predict response to 5-AZA. In the survival analysis, the IPSS and IPSS-R risk classification systems along with the ECOG PS and SF levels > 520 ng/ml proved to be independent prognosticators for overall survival (OS), as well as for leukemia-free survival (LFS). Next, we built new multivariate models for OS and LFS, incorporating only ECOG PS and SF levels besides IPSS or IPSS-R risk classification systems. Thereby, the new modified IPSS and IPSS-R risk classification systems (H-PSS, H-PSS-R) could each discriminate a low, an intermediate and a high-risk patient group regarding OS and LFS. The H-PSS and H-PSS-R proved to be better predictors of OS than their previous counterparts as well as the French prognostic score, while the most powerful OS predictor was the new, H-PSS-R system. CONCLUSIONS: ECOG PS and SF levels > 520 ng/ml independently predict response to 5-AZA, OS and LFS. Their incorporation in the IPSS and IPSS-R scores enhances these scores' predictive power in 5-AZA-treated higher-risk MDS and oligoblastic AML patients.
BACKGROUND: 5-azacytidine (5-AZA) improves survival of patients with higher-risk myelodysplastic syndromes (MDSs) and oligoblastic acute myeloid leukemia (AML); however, predictive factors for response and outcome have not been consistently studied. METHODS: This study of the Hellenic MDS Study Group included 687 consecutive patients with higher-risk MDS and oligoblastic AML treated with 5-AZA. RESULTS: The International Prognostic Scoring System (IPSS) revised version (IPSS-R), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (0 or 1 versus ⩾2) and baseline serum ferritin (SF) levels > 520 ng/ml were shown to independently predict response to 5-AZA. In the survival analysis, the IPSS and IPSS-R risk classification systems along with the ECOG PS and SF levels > 520 ng/ml proved to be independent prognosticators for overall survival (OS), as well as for leukemia-free survival (LFS). Next, we built new multivariate models for OS and LFS, incorporating only ECOG PS and SF levels besides IPSS or IPSS-R risk classification systems. Thereby, the new modified IPSS and IPSS-R risk classification systems (H-PSS, H-PSS-R) could each discriminate a low, an intermediate and a high-risk patient group regarding OS and LFS. The H-PSS and H-PSS-R proved to be better predictors of OS than their previous counterparts as well as the French prognostic score, while the most powerful OS predictor was the new, H-PSS-R system. CONCLUSIONS: ECOG PS and SF levels > 520 ng/ml independently predict response to 5-AZA, OS and LFS. Their incorporation in the IPSS and IPSS-R scores enhances these scores' predictive power in 5-AZA-treated higher-risk MDS and oligoblastic AML patients.
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