Literature DB >> 23605934

Validation of the revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes.

Asmita Mishra1, Maria Corrales-Yepez, Najla Al Ali, Mohamed Kharfan-Dabaja, Eric Padron, Ling Zhang, Pearlie K Epling-Burnette, Javier Pinilla-Ibarz, Jeffrey E Lancet, Alan F List, Rami S Komrokji.   

Abstract

The International Prognostic Scoring System (IPSS) was recently revised (IPSS-R) under the auspices of the MDS Foundation as a collaborative international effort to refine its prognostic power. Our purpose was to externally validate this new risk model using a large single-institution cohort, determine its prognostic power in patients receiving active treatment, and explore its utility in guiding therapeutic decisions. Data were collected retrospectively from our myelodysplastic syndrome (MDS) database and verified by chart review. Of the data available for 1,088 patients, 152 (14%), 353 (32%), 237 (22%), 190 (18%), and 156 (14%) patients were classified as very low, low, intermediate, high, and very high risk, respectively, with median overall survival (OS) of 90 (95%CI 71-109), 54 (95%CI 50-59), 34 (95%CI 26-43), 21 (95%CI 17-25), and 13 months (95%CI 11-15), respectively (P < 0.005). We found that the IPSS-R further refined prognostic discrimination in all IPSS risk categories, particularly in the intermediate 1 and 2 groups. Among high and very high IPSS-R patients receiving azacitidine, OS was significantly improved versus patients not receiving azacitidine, with corresponding median OS of 25 versus 18 months (P = 0.028) and 15 versus 9 months (P = 0.005), respectively. Similarly, patients with IPSS-R high- and very high-risk disease who underwent allogeneic hematopoietic stem cell transplantation had significantly improved OS versus nontransplant approaches (P < 0.005). High and very high IPSS-R patients derived a survival advantage from disease-modifying therapies. Our data validate the prognostic value of the proposed IPSS-R and show that its refined IPSS prognostic discrimination can be applied to actively treated patients.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23605934      PMCID: PMC4685468          DOI: 10.1002/ajh.23454

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  13 in total

1.  Coalesced multicentric analysis of 2,351 patients with myelodysplastic syndromes indicates an underestimation of poor-risk cytogenetics of myelodysplastic syndromes in the international prognostic scoring system.

Authors:  Julie Schanz; Christian Steidl; Christa Fonatsch; Michael Pfeilstöcker; Thomas Nösslinger; Heinz Tuechler; Peter Valent; Barbara Hildebrandt; Aristoteles Giagounidis; Carlo Aul; Michael Lübbert; Reinhard Stauder; Otto Krieger; Guillermo Garcia-Manero; Hagop Kantarjian; Ulrich Germing; Detlef Haase; Elihu Estey
Journal:  J Clin Oncol       Date:  2011-04-25       Impact factor: 44.544

Review 2.  Myelodysplastic syndromes classification and risk stratification.

Authors:  Rami S Komrokji; Ling Zhang; John M Bennett
Journal:  Hematol Oncol Clin North Am       Date:  2010-04       Impact factor: 3.722

3.  The revised IPSS is a powerful tool to evaluate the outcome of MDS patients treated with azacitidine: the GFM experience.

Authors:  Mathilde Lamarque; Sophie Raynaud; Raphael Itzykson; Sylvain Thepot; Bruno Quesnel; Francois Dreyfus; Odile Beyne Rauzy; Pascal Turlure; Norbert Vey; Christian Recher; Caroline Dartigeas; Laurence Legros; Jacques Delaunay; Sorin Visanica; Aspasia Stamatoullas; Pierre Fenaux; Lionel Adès
Journal:  Blood       Date:  2012-12-13       Impact factor: 22.113

4.  Revised international prognostic scoring system for myelodysplastic syndromes.

Authors:  Peter L Greenberg; Heinz Tuechler; Julie Schanz; Guillermo Sanz; Guillermo Garcia-Manero; Francesc Solé; John M Bennett; David Bowen; Pierre Fenaux; Francois Dreyfus; Hagop Kantarjian; Andrea Kuendgen; Alessandro Levis; Luca Malcovati; Mario Cazzola; Jaroslav Cermak; Christa Fonatsch; Michelle M Le Beau; Marilyn L Slovak; Otto Krieger; Michael Luebbert; Jaroslaw Maciejewski; Silvia M M Magalhaes; Yasushi Miyazaki; Michael Pfeilstöcker; Mikkael Sekeres; Wolfgang R Sperr; Reinhard Stauder; Sudhir Tauro; Peter Valent; Teresa Vallespi; Arjan A van de Loosdrecht; Ulrich Germing; Detlef Haase
Journal:  Blood       Date:  2012-06-27       Impact factor: 22.113

5.  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

6.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

7.  Risk assessment in chronic myelomonocytic leukemia (CMML).

Authors:  U Germing; A Kündgen; N Gattermann
Journal:  Leuk Lymphoma       Date:  2004-07

8.  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

9.  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

10.  A decision analysis of allogeneic bone marrow transplantation for the myelodysplastic syndromes: delayed transplantation for low-risk myelodysplasia is associated with improved outcome.

Authors:  Corey S Cutler; Stephanie J Lee; Peter Greenberg; H Joachim Deeg; Waleska S Pérez; Claudio Anasetti; Brian J Bolwell; Mitchell S Cairo; Robert Peter Gale; John P Klein; Hillard M Lazarus; Jane L Liesveld; Philip L McCarthy; Gustavo A Milone; J Douglas Rizzo; Kirk R Schultz; Michael E Trigg; Armand Keating; Daniel J Weisdorf; Joseph H Antin; Mary M Horowitz
Journal:  Blood       Date:  2004-03-23       Impact factor: 22.113

View more
  16 in total

1.  Impact of tobacco usage on disease outcome in myelodysplastic syndromes.

Authors:  Asmita Mishra; Dana E Rollison; Thomas H Brandon; Najla H Al Ali; Maria Corrales-Yepez; Eric Padron; Pearlie K Epling-Burnette; Jeffrey E Lancet; Alan F List; Rami S Komrokji
Journal:  Leuk Res       Date:  2015-04-07       Impact factor: 3.156

2.  Validation of cytogenetic risk groups according to International Prognostic Scoring Systems by peripheral blood CD34+FISH: results from a German diagnostic study in comparison with an international control group.

Authors:  Friederike Braulke; Uwe Platzbecker; Catharina Müller-Thomas; Katharina Götze; Ulrich Germing; Tim H Brümmendorf; Florian Nolte; Wolf-Karsten Hofmann; Aristoteles A N Giagounidis; Michael Lübbert; Peter L Greenberg; John M Bennett; Francesc Solé; Mar Mallo; Marilyn L Slovak; Kazuma Ohyashiki; Michelle M Le Beau; Heinz Tüchler; Michael Pfeilstöcker; Thomas Nösslinger; Barbara Hildebrandt; Katayoon Shirneshan; Carlo Aul; Reinhard Stauder; Wolfgang R Sperr; Peter Valent; Christa Fonatsch; Lorenz Trümper; Detlef Haase; Julie Schanz
Journal:  Haematologica       Date:  2014-10-24       Impact factor: 9.941

3.  Comparison of the prognostic utility of the revised International Prognostic Scoring System and the French Prognostic Scoring System in azacitidine-treated patients with myelodysplastic syndromes.

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; Martin S Tallman; Steven D Gore
Journal:  Br J Haematol       Date:  2014-04-09       Impact factor: 6.998

4.  Myelodysplastic syndromes, version 2.2015.

Authors:  Peter L Greenberg; Richard M Stone; Rafael Bejar; John M Bennett; Clara D Bloomfield; Uma Borate; Carlos M De Castro; H Joachim Deeg; Amy E DeZern; Amir T Fathi; Olga Frankfurt; Karin Gaensler; Guillermo Garcia-Manero; Elizabeth A Griffiths; David Head; Virginia Klimek; Rami Komrokji; Lisa A Kujawski; Lori J Maness; Margaret R O'Donnell; Daniel A Pollyea; Bart Scott; Paul J Shami; Brady L Stein; Peter Westervelt; Benton Wheeler; Dorothy A Shead; Courtney Smith
Journal:  J Natl Compr Canc Netw       Date:  2015-03       Impact factor: 11.908

Review 5.  MDS prognostic scoring systems – past, present, and future.

Authors:  Brian A Jonas; Peter L Greenberg
Journal:  Best Pract Res Clin Haematol       Date:  2014-11-11       Impact factor: 3.020

6.  Platelet count doubling after the first cycle of azacitidine therapy predicts eventual response and survival in patients with myelodysplastic syndromes and oligoblastic acute myeloid leukaemia but does not add to prognostic utility of the revised IPSS.

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

7.  Predicting early post-chemotherapy adverse events in patients with hematological malignancies: a retrospective study.

Authors:  Xiaoming Fei; Fang Lei; Haifeng Zhang; Hua Lu; Yan Zhu; Yu Tang
Journal:  Support Care Cancer       Date:  2016-01-23       Impact factor: 3.603

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

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

Review 9.  Acute myeloid leukemia and myelodysplastic syndromes in older adults.

Authors:  Heidi D Klepin; Arati V Rao; Timothy S Pardee
Journal:  J Clin Oncol       Date:  2014-08-20       Impact factor: 44.544

Review 10.  There's risk, and then there's risk: The latest clinical prognostic risk stratification models in myelodysplastic syndromes.

Authors:  Amer M Zeidan; Rami S Komrokji
Journal:  Curr Hematol Malig Rep       Date:  2013-12       Impact factor: 3.952

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.