Literature DB >> 21956402

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

Rami S Komrokji1, Maria Corrales-Yepez, Najla Al Ali, Mohammad Kharfan-Dabaja, Eric Padron, Teresa Fields, Jeffrey E Lancet, Alan F List.   

Abstract

BACKGROUND: The proposed MD Anderson Risk Model Score (MDAS) for myelodysplastic syndromes (MDS) refines outcome discrimination compared with the International Prognostic Scoring System (IPSS). We applied the MDAS to Moffitt Cancer Center (MCC) MDS patients to validate its prognostic utility.
METHODS: This was a retrospective analysis of MDS cases, as defined by World Health Organization criteria, from the Moffitt database, with confirmatory chart review.
RESULTS: A total of 775 patients evaluated between January 2001 and December 2009 were included. Patients were reclassified by MDAS as low (20.6%), intermediate-1 (31%), intermediate-2 (21%), high risk (16.1%), and unknown (11.2%). Median overall survival (OS) from diagnosis was 92, 49, 27, and 14 months for low, intermediate-1, intermediate-2, and high-risk MDAS groups, respectively (P < .005). Median OS from referral was 61, 28, 15, and 8 months (P < .005), respectively. Among 484 patients classified by IPSS as low or intermediate-1 risk, 25% were up-staged as intermediate-2 or high risk by MDAS; 4 prognostically distinct subgroups were identified among lower risk IPSS categories with median OS of 93, 53, 31, and 18 months (P < .005). Among 201 intermediate-2 or high-risk IPSS patients, 15.4% were down-staged to intermediate-1 by MDAS, with 3 groups identified by MDAS having median OS of 33, 23, and 14 months. Acute myeloid leukemia transformation rate was highest among high-risk MDAS (50.4%). In Cox regression analysis, higher risk MDAS predicted inferior OS (hazard ratio 1.42; P < .005) independent of IPSS.
CONCLUSIONS: Our data validated MDAS' prognostic value. MDAS is complementary to IPSS and refines prognostic precision.
Copyright © 2011 American Cancer Society.

Entities:  

Mesh:

Year:  2011        PMID: 21956402     DOI: 10.1002/cncr.26567

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  15 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.  Expansion of effector memory regulatory T cells represents a novel prognostic factor in lower risk myelodysplastic syndrome.

Authors:  Adam W Mailloux; Chiharu Sugimori; Rami S Komrokji; Lili Yang; Jaroslaw P Maciejewski; Mikkael A Sekeres; Ronald Paquette; Thomas P Loughran; Alan F List; Pearlie K Epling-Burnette
Journal:  J Immunol       Date:  2012-08-08       Impact factor: 5.422

3.  Patient stratification in myelodysplastic syndromes: how a puzzle may become a map.

Authors:  Anne Sophie Kubasch; Uwe Platzbecker
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2020-12-04

Review 4.  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

Review 5.  Improving Prognostic Modeling in Myelodysplastic Syndromes.

Authors:  Aziz Nazha; Mikkael A Sekeres
Journal:  Curr Hematol Malig Rep       Date:  2016-12       Impact factor: 3.952

6.  Prognostication in myelodysplastic syndromes: beyond the International Prognostic Scoring System (IPSS).

Authors:  Amer M Zeidan; B Douglas Smith; Rami S Komrokji; Steven D Gore
Journal:  Am J Med       Date:  2013-04       Impact factor: 4.965

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

Authors:  Rafael Bejar; 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
Journal:  J Clin Oncol       Date:  2012-08-06       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

Review 9.  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

10.  Durable Red Blood Cell Transfusion Independence in a Patient with an MDS/MPN Overlap Syndrome Following Discontinuation of Iron Chelation Therapy.

Authors:  Harpreet Kochhar; Chantal S Leger; Heather A Leitch
Journal:  Case Rep Hematol       Date:  2015-03-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.