Literature DB >> 22869879

Validation of a prognostic model and the impact of mutations in patients with lower-risk myelodysplastic syndromes.

Rafael Bejar1, Kristen E Stevenson, Bennett A Caughey, Omar Abdel-Wahab, David P Steensma, Naomi Galili, Azra Raza, Hagop Kantarjian, Ross L Levine, Donna Neuberg, Guillermo Garcia-Manero, Benjamin L Ebert.   

Abstract

PURPOSE: A subset of patients with myelodysplastic syndromes (MDS) who are predicted to have lower-risk disease as defined by the International Prognostic Scoring System (IPSS) demonstrate more aggressive disease and shorter overall survival than expected. The identification of patients with greater-than-predicted prognostic risk could influence the selection of therapy and improve the care of patients with lower-risk MDS. PATIENTS AND METHODS: We performed an independent validation of the MD Anderson Lower-Risk Prognostic Scoring System (LR-PSS) in a cohort of 288 patients with low- or intermediate-1 IPSS risk MDS and examined bone marrow samples from these patients for mutations in 22 genes, including SF3B1, SRSF2, U2AF1, and DNMT3A.
RESULTS: The LR-PSS successfully stratified patients with lower-risk MDS into three risk categories with significant differences in overall survival (20% in category 1 with median of 5.19 years [95% CI, 3.01 to 10.34 years], 56% in category 2 with median of 2.65 years [95% CI, 2.18 to 3.30 years], and 25% in category 3 with median of 1.11 years [95% CI, 0.82 to 1.51 years]), thus validating this prognostic model. Mutations were identified in 71% of all samples, and mutations associated with a poor prognosis were enriched in the highest-risk LR-PSS category. Mutations of EZH2, RUNX1, TP53, and ASXL1 were associated with shorter overall survival independent of the LR-PSS. Only EZH2 mutations retained prognostic significance in a multivariable model that included LR-PSS and other mutations (hazard ratio, 2.90; 95% CI, 1.85 to 4.52).
CONCLUSION: Combining the LR-PSS and EZH2 mutation status identifies 29% of patients with lower-risk MDS with a worse-than-expected prognosis. These patients may benefit from earlier initiation of disease-modifying therapy.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22869879      PMCID: PMC3438234          DOI: 10.1200/JCO.2011.40.7379

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  17 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

2.  Validation of the MD Anderson Prognostic Risk Model for patients with myelodysplastic syndrome.

Authors:  Rami S Komrokji; Maria Corrales-Yepez; Najla Al Ali; Mohammad Kharfan-Dabaja; Eric Padron; Teresa Fields; Jeffrey E Lancet; Alan F List
Journal:  Cancer       Date:  2011-09-28       Impact factor: 6.860

3.  Platelet count is an IPSS-independent risk factor predicting survival in refractory anaemia with ringed sideroblasts.

Authors:  Shanique R Palmer; Ayalew Tefferi; Curtis A Hanson; David P Steensma
Journal:  Br J Haematol       Date:  2008-01-29       Impact factor: 6.998

Review 4.  The epidemiology of myelodysplastic syndromes.

Authors:  Mikkael A Sekeres
Journal:  Hematol Oncol Clin North Am       Date:  2010-04       Impact factor: 3.722

5.  NCCN Clinical Practice Guidelines in Oncology: myelodysplastic syndromes.

Authors:  Peter L Greenberg; Eyal Attar; John M Bennett; Clara D Bloomfield; Carlos M De Castro; H Joachim Deeg; James M Foran; Karin Gaensler; Guillermo Garcia-Manero; Steven D Gore; David Head; Rami Komrokji; Lori J Maness; Michael Millenson; Stephen D Nimer; Margaret R O'Donnell; Mark A Schroeder; Paul J Shami; Richard M Stone; James E Thompson; Peter Westervelt
Journal:  J Natl Compr Canc Netw       Date:  2011-01       Impact factor: 11.908

6.  Characteristics of US patients with myelodysplastic syndromes: results of six cross-sectional physician surveys.

Authors:  Mikkael A Sekeres; W Marieke Schoonen; Hagop Kantarjian; Alan List; Jon Fryzek; Ronald Paquette; Jaroslaw P Maciejewski
Journal:  J Natl Cancer Inst       Date:  2008-10-28       Impact factor: 13.506

7.  A prognostic score for patients with lower risk myelodysplastic syndrome.

Authors:  G Garcia-Manero; J Shan; S Faderl; J Cortes; F Ravandi; G Borthakur; W G Wierda; S Pierce; E Estey; J Liu; X Huang; H Kantarjian
Journal:  Leukemia       Date:  2007-12-13       Impact factor: 11.528

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

Review 9.  The incidence and impact of thrombocytopenia in myelodysplastic syndromes.

Authors:  Hagop Kantarjian; Francis Giles; Alan List; Roger Lyons; Mikkael A Sekeres; Sherry Pierce; Robert Deuson; Joseph Leveque
Journal:  Cancer       Date:  2007-05-01       Impact factor: 6.860

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
  179 in total

1.  Randomized phase 2 study of low-dose decitabine vs low-dose azacitidine in lower-risk MDS and MDS/MPN.

Authors:  Elias Jabbour; Nicholas J Short; Guillermo Montalban-Bravo; Xuelin Huang; Carlos Bueso-Ramos; Wei Qiao; Hui Yang; Chong Zhao; Tapan Kadia; Gautam Borthakur; Naveen Pemmaraju; Koji Sasaki; Zeev Estrov; Jorge Cortes; Farhad Ravandi; Yesid Alvarado; Rami Komrokji; Mikkael A Sekeres; David P Steensma; Amy DeZern; Gail Roboz; Hagop Kantarjian; Guillermo Garcia-Manero
Journal:  Blood       Date:  2017-08-03       Impact factor: 22.113

2.  MicroRNAs and tRNA-derived fragments predict the transformation of myelodysplastic syndromes to acute myeloid leukemia.

Authors:  Yan Guo; Stephen A Strickland; Sanjay Mohan; Shaoying Li; Amma Bosompem; Kasey C Vickers; Shilin Zhao; Quanhu Sheng; Annette S Kim
Journal:  Leuk Lymphoma       Date:  2017-01-13

Review 3.  Emerging patterns of somatic mutations in cancer.

Authors:  Ian R Watson; Koichi Takahashi; P Andrew Futreal; Lynda Chin
Journal:  Nat Rev Genet       Date:  2013-09-11       Impact factor: 53.242

4.  What lies beyond del(5q) in myelodysplastic syndrome?

Authors:  Vera Adema; Rafael Bejar
Journal:  Haematologica       Date:  2013-12       Impact factor: 9.941

Review 5.  New strategies in myelodysplastic syndromes: application of molecular diagnostics to clinical practice.

Authors:  Zuzana Tothova; David P Steensma; Benjamin L Ebert
Journal:  Clin Cancer Res       Date:  2013-01-17       Impact factor: 12.531

6.  Risk stratification in myelodysplastic syndromes: is there a role for gene expression profiling?

Authors:  Amer M Zeidan; Thomas Prebet; Ehab Saad Aldin; Steven David Gore
Journal:  Expert Rev Hematol       Date:  2014-02-24       Impact factor: 2.929

7.  Severely impaired terminal erythroid differentiation as an independent prognostic marker in myelodysplastic syndromes.

Authors:  Abdullah Mahmood Ali; Yumin Huang; Ronald Feitosa Pinheiro; Fumin Xue; Jingping Hu; Nicholas Iverson; Daniela Hoehn; Diego Coutinho; Jehanzeb Kayani; Brian Chernak; Joseph Lane; Christopher Hillyer; Naomi Galili; Joseph Jurcic; Narla Mohandas; Xiuli An; Azra Raza
Journal:  Blood Adv       Date:  2018-06-26

Review 8.  Deregulated Polycomb functions in myeloproliferative neoplasms.

Authors:  Goro Sashida; Motohiko Oshima; Atsushi Iwama
Journal:  Int J Hematol       Date:  2019-01-31       Impact factor: 2.490

9.  Physiologic Expression of Sf3b1(K700E) Causes Impaired Erythropoiesis, Aberrant Splicing, and Sensitivity to Therapeutic Spliceosome Modulation.

Authors:  Esther A Obeng; Ryan J Chappell; Michael Seiler; Michelle C Chen; Dean R Campagna; Paul J Schmidt; Rebekka K Schneider; Allegra M Lord; Lili Wang; Rutendo G Gambe; Marie E McConkey; Abdullah M Ali; Azra Raza; Lihua Yu; Silvia Buonamici; Peter G Smith; Ann Mullally; Catherine J Wu; Mark D Fleming; Benjamin L Ebert
Journal:  Cancer Cell       Date:  2016-09-12       Impact factor: 31.743

10.  Somatic mutations predict poor outcome in patients with myelodysplastic syndrome after hematopoietic stem-cell transplantation.

Authors:  Rafael Bejar; Kristen E Stevenson; Bennett Caughey; R Coleman Lindsley; Brenton G Mar; Petar Stojanov; Gad Getz; David P Steensma; Jerome Ritz; Robert Soiffer; Joseph H Antin; Edwin Alyea; Philippe Armand; Vincent Ho; John Koreth; Donna Neuberg; Corey S Cutler; Benjamin L Ebert
Journal:  J Clin Oncol       Date:  2014-08-04       Impact factor: 44.544

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.