Literature DB >> 26464171

Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides.

A M Zeidan1, M A Sekeres2, G Garcia-Manero3, D P Steensma4, K Zell2, J Barnard2, N A Ali5, C Zimmerman2, G Roboz6, A DeZern7, A Nazha2, E Jabbour3, H Kantarjian3, S D Gore1, J P Maciejewski2, A List5, R Komrokji5.   

Abstract

Established prognostic tools in patients with myelodysplastic syndromes (MDS) were largely derived from untreated patient cohorts. Although azanucleosides are standard therapies for higher-risk (HR)-MDS, the relative prognostic performance of existing prognostic tools among patients with HR-MDS receiving azanucleoside therapy is unknown. In the MDS Clinical Research Consortium database, we compared the prognostic utility of the International Prognostic Scoring System (IPSS), revised IPSS (IPSS-R), MD Anderson Prognostic Scoring System (MDAPSS), World Health Organization-based Prognostic Scoring System (WPSS) and the French Prognostic Scoring System (FPSS) among 632 patients who presented with HR-MDS and were treated with azanucleosides as the first-line therapy. Median follow-up from diagnosis was 15.7 months. No prognostic tool predicted the probability of achieving an objective response. Nonetheless, all five tools were associated with overall survival (OS, P=0.025 for the IPSS, P=0.011 for WPSS and P<0.001 for the other three tools). The corrected Akaike Information Criteria, which were used to compare OS with the different prognostic scoring systems as covariates (lower is better) were 4138 (MDAPSS), 4156 (FPSS), 4196 (IPSS-R), 4186 (WPSS) and 4196 (IPSS). Patients in the highest-risk groups of the prognostic tools had a median OS from diagnosis of 11-16 months and should be considered for up-front transplantation or experimental approaches.

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Year:  2015        PMID: 26464171      PMCID: PMC4775363          DOI: 10.1038/leu.2015.283

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  45 in total

1.  Results of a randomized study of 3 schedules of low-dose decitabine in higher-risk myelodysplastic syndrome and chronic myelomonocytic leukemia.

Authors:  Hagop Kantarjian; Yasuhiro Oki; Guillermo Garcia-Manero; Xuelin Huang; Susan O'Brien; Jorge Cortes; Stefan Faderl; Carlos Bueso-Ramos; Farhad Ravandi; Zeev Estrov; Alessandra Ferrajoli; William Wierda; Jianqin Shan; Jan Davis; Francis Giles; Hussain I Saba; Jean-Pierre J Issa
Journal:  Blood       Date:  2006-08-01       Impact factor: 22.113

2.  International scoring system for evaluating prognosis in myelodysplastic syndromes.

Authors:  P Greenberg; C Cox; M M LeBeau; P Fenaux; P Morel; G Sanz; M Sanz; T Vallespi; T Hamblin; D Oscier; K Ohyashiki; K Toyama; C Aul; G Mufti; J Bennett
Journal:  Blood       Date:  1997-03-15       Impact factor: 22.113

3.  Further analysis of trials with azacitidine in patients with myelodysplastic syndrome: studies 8421, 8921, and 9221 by the Cancer and Leukemia Group B.

Authors:  Lewis R Silverman; David R McKenzie; Bercedis L Peterson; James F Holland; Jay T Backstrom; C L Beach; Richard A Larson
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

4.  Efficacy of azacitidine compared with that of conventional care regimens in the treatment of higher-risk myelodysplastic syndromes: a randomised, open-label, phase III study.

Authors:  Pierre Fenaux; Ghulam J Mufti; Eva Hellstrom-Lindberg; Valeria Santini; Carlo Finelli; Aristoteles Giagounidis; Robert Schoch; Norbert Gattermann; Guillermo Sanz; Alan List; Steven D Gore; John F Seymour; John M Bennett; John Byrd; Jay Backstrom; Linda Zimmerman; David McKenzie; Cl Beach; Lewis R Silverman
Journal:  Lancet Oncol       Date:  2009-02-21       Impact factor: 41.316

Review 5.  The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes.

Authors:  James W Vardiman; Jüergen Thiele; Daniel A Arber; Richard D Brunning; Michael J Borowitz; Anna Porwit; Nancy Lee Harris; Michelle M Le Beau; Eva Hellström-Lindberg; Ayalew Tefferi; Clara D Bloomfield
Journal:  Blood       Date:  2009-04-08       Impact factor: 22.113

6.  Proposal for a new risk model in myelodysplastic syndrome that accounts for events not considered in the original International Prognostic Scoring System.

Authors:  Hagop Kantarjian; Susan O'Brien; Farhad Ravandi; Jorge Cortes; Jianqin Shan; John M Bennett; Alan List; Pierre Fenaux; Guillermo Sanz; Jean-Pierre Issa; Emil J Freireich; Guillermo Garcia-Manero
Journal:  Cancer       Date:  2008-09-15       Impact factor: 6.860

7.  Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes.

Authors:  Luca Malcovati; Ulrich Germing; Andrea Kuendgen; Matteo G Della Porta; Cristiana Pascutto; Rosangela Invernizzi; Aristoteles Giagounidis; Barbara Hildebrandt; Paolo Bernasconi; Sabine Knipp; Corinna Strupp; Mario Lazzarino; Carlo Aul; Mario Cazzola
Journal:  J Clin Oncol       Date:  2007-08-10       Impact factor: 44.544

8.  Clinical and genetic predictors of prognosis in myelodysplastic syndromes.

Authors:  Rafael Bejar
Journal:  Haematologica       Date:  2014-06       Impact factor: 9.941

9.  Hematologic response to three alternative dosing schedules of azacitidine in patients with myelodysplastic syndromes.

Authors:  Roger M Lyons; Thomas M Cosgriff; Sanjiv S Modi; Robert H Gersh; John D Hainsworth; Allen L Cohn; Heidi J McIntyre; Indra J Fernando; Jay T Backstrom; C L Beach
Journal:  J Clin Oncol       Date:  2009-03-02       Impact factor: 44.544

10.  Myelodysplastic syndromes: incidence and survival in the United States.

Authors:  Xiaomei Ma; Monique Does; Azra Raza; Susan T Mayne
Journal:  Cancer       Date:  2007-04-15       Impact factor: 6.860

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  21 in total

1.  Hypomethylating agent (HMA) therapy use and survival in older adults with Refractory Anemia with Excess Blasts (RAEB) in the United States (USA): a large propensity score-matched population-based study.

Authors:  Amy J Davidoff; Xin Hu; Jan Philipp Bewersdorf; Rong Wang; Nikolai A Podoltsev; Scott F Huntington; Steven D Gore; Xiaomei Ma; Amer M Zeidan
Journal:  Leuk Lymphoma       Date:  2019-12-26

2.  Getting personal with myelodysplastic syndromes: is now the right time?

Authors:  Nora Chokr; Alexander B Pine; Jan Philipp Bewersdorf; Rory M Shallis; Maximilian Stahl; Amer M Zeidan
Journal:  Expert Rev Hematol       Date:  2019-04-12       Impact factor: 2.929

3.  Up-regulation of ribosomal genes is associated with a poor response to azacitidine in myelodysplasia and related neoplasms.

Authors:  M Monika Belickova; Michaela Dostalova Merkerova; Hana Votavova; Jan Valka; Jitka Vesela; Barbora Pejsova; Hana Hajkova; Jiri Klema; Jaroslav Cermak; Anna Jonasova
Journal:  Int J Hematol       Date:  2016-07-14       Impact factor: 2.490

Review 4.  Following in the footsteps of acute myeloid leukemia: are we witnessing the start of a therapeutic revolution for higher-risk myelodysplastic syndromes?

Authors:  Jan Philipp Bewersdorf; Amer M Zeidan
Journal:  Leuk Lymphoma       Date:  2020-05-18

Review 5.  Molecular Data and the IPSS-R: How Mutational Burden Can Affect Prognostication in MDS.

Authors:  Aziz Nazha; Rafael Bejar
Journal:  Curr Hematol Malig Rep       Date:  2017-10       Impact factor: 3.952

6.  Long-term survival of older patients with MDS treated with HMA therapy without subsequent stem cell transplantation.

Authors:  Amer M Zeidan; Maximilian Stahl; Xin Hu; Rong Wang; Scott F Huntington; Nikolai A Podoltsev; Steven D Gore; Xiaomei Ma; Amy J Davidoff
Journal:  Blood       Date:  2017-12-19       Impact factor: 22.113

7.  Association of provider experience and clinical outcomes in patients with myelodysplastic syndromes receiving hypomethylating agents.

Authors:  Amer M Zeidan; Xin Hu; Weiwei Zhu; Maximilian Stahl; Rong Wang; Scott F Huntington; Smith Giri; Jan Philipp Bewersdorf; Nikolai A Podoltsev; Steven D Gore; Xiaomei Ma; Amy J Davidoff
Journal:  Leuk Lymphoma       Date:  2019-10-01

8.  Integrating patient-centered factors in the risk assessment of MDS.

Authors:  Rena J Buckstein
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

9.  Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium.

Authors:  A M Zeidan; N Al Ali; J Barnard; E Padron; J E Lancet; M A Sekeres; D P Steensma; A DeZern; G Roboz; E Jabbour; G Garcia-Manero; A List; R Komrokji
Journal:  Leukemia       Date:  2017-01-23       Impact factor: 11.528

10.  The impact of anaemia, transfusion dependency, comorbidities and polypharmacy in elderly patients with low-risk myelodysplastic syndromes.

Authors:  Roberto Castelli; Riccardo Schiavon; Giorgio Lambertenghi Deliliers
Journal:  Med Oncol       Date:  2018-02-08       Impact factor: 3.064

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