Literature DB >> 21135859

Risk stratification using a new prognostic score for patients with secondary acute myeloid leukemia: results of the prospective AML96 trial.

F Stölzel1, M Pfirrmann, W E Aulitzky, M Kaufmann, H Bodenstein, M Bornhäuser, C Röllig, M Kramer, B Mohr, U Oelschlägel, N Schmitz, S Soucek, C Thiede, G Ehninger, M Schaich.   

Abstract

Patients with secondary acute myeloid leukemia (sAML) are generally thought to have a poor prognosis. As there are no prognostic risk stratification models for patients with sAML available, the aim of this study was to obtain a scoring system. Prognostic factors influencing overall survival (OS) and event-free survival (EFS) were analyzed in 305 sAML patients treated in the prospective AML96 trial. The obtained prognostic scoring system was then validated in an independent patient cohort included in the AML2003 and AML60+ trials. In addition to the known risk factors for AML, age and karyotype, we identified the absolute platelet count and the Nucleophosmin 1 mutational status at diagnosis as prognostic factors of sAML patients. A pronounced distribution of sAML patients into three score groups was achieved showing a 2-year OS/EFS of 52/44% for patients in the low-risk group, 21/12% in the intermediate-risk group and 7/3% in the high-risk group (both P<0.001). Validation of this scoring system in a second independent set of sAML patients revealed similar significantly different survival results. In conclusion, for the first time, a prognostic scoring system is provided for sAML patients, allowing differential treatment strategies in the future.

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Year:  2010        PMID: 21135859     DOI: 10.1038/leu.2010.279

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


  11 in total

1.  Impact of the revised International Prognostic Scoring System on the outcome of patients with acute myeloid leukemia with or without antecedent myelodysplastic syndrome.

Authors:  F Stölzel; M Kramer; B Mohr; M Wermke; M Bornhäuser; G Ehninger; M Schaich; U Platzbecker
Journal:  Leukemia       Date:  2013-11-25       Impact factor: 11.528

2.  Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

Authors:  Fan Zhou; Fen Zhou; Mengyi Du; Lin Liu; Tao Guo; Linghui Xia; Runming Jin; Yu Hu; Heng Mei
Journal:  Int J Hematol       Date:  2019-08-22       Impact factor: 2.490

3.  p53 pathway dysfunction is highly prevalent in acute myeloid leukemia independent of TP53 mutational status.

Authors:  A Quintás-Cardama; C Hu; A Qutub; Y H Qiu; X Zhang; S M Post; N Zhang; K Coombes; S M Kornblau
Journal:  Leukemia       Date:  2016-11-25       Impact factor: 11.528

4.  Comparison of induction strategies and responses for acute myeloid leukemia patients after resistance to hypomethylating agents for antecedent myeloid malignancy.

Authors:  Chetasi Talati; Aaron D Goldberg; Amanda Przespolewski; Onyee Chan; Najla Al Ali; Jongphil Kim; Chris Famulare; David Sallman; Eric Padron; Andrew Kuykendall; Jeffrey E Lancet; Eunice Wang; Martin S Tallman; Rami Komrokji; Kendra Sweet
Journal:  Leuk Res       Date:  2020-05-01       Impact factor: 3.156

5.  Measurable residual disease (MRD) status before allogeneic hematopoietic cell transplantation impact on secondary acute myeloid leukemia outcome. A Study from the Acute Leukemia Working Party (ALWP) of the European society for Blood and Marrow Transplantation (EBMT).

Authors:  Enrico Maffini; Myriam Labopin; Dietrich Wilhelm Beelen; Nicolaus Kroeger; Mutlu Arat; Keith M O Wilson; Jacques-Olivier Bay; Arnold Ganser; Hans Martin; Jakob Passweg; Panagiotis D Kottaridis; Ibrahim Yakoub-Agha; Rocio Parody Porras; Eva Maria Wagner; Jordi Esteve; Francesco Lanza; Arnon Nagler; Mohamad Mohty
Journal:  Bone Marrow Transplant       Date:  2022-07-14       Impact factor: 5.174

6.  The outcomes of secondary AML post allogeneic hematopoietic cell transplantation significantly depend on the presence of poor-risk cytogenetic abnormalities.

Authors:  Mona Hassanein; Riad El Fakih; Walid Rasheed; Syed Ahmed; Marwan Shaheen; Naeem Chaudhri; Fahad Alsharif; Shad Ahmed; Amr Hanbali; Alfadel AlShaibani; Feras Alfraih; Saud Alhayli; Tusneem Elhassan; Ali Alahmari; Hazzaa Alzahrani; Fahad Almohareb; Mahmoud Aljurf; Shahrukh Hashmi
Journal:  EJHaem       Date:  2021-03-12

7.  Treatment of older patients with acute myeloid leukemia (AML): a Canadian consensus.

Authors:  Joseph M Brandwein; Michelle Geddes; Jeannine Kassis; Andrea K Kew; Brian Leber; Thomas Nevill; Mitchell Sabloff; Irwindeep Sandhu; Andre C Schuh; John M Storring; John Ashkenas
Journal:  Am J Blood Res       Date:  2013-05-05

8.  PLCE1 polymorphisms and expression combined with serum AFP level predicts survival of HBV-related hepatocellular carcinoma patients after hepatectomy.

Authors:  Xiwen Liao; Chuangye Han; Wei Qin; Xiaoguang Liu; Long Yu; Guangzhi Zhu; Tingdong Yu; Sicong Lu; Hao Su; Zhen Liu; Zhiwei Chen; Chengkun Yang; Ketuan Huang; Zhengtao Liu; Yu Liang; Jianlu Huang; Jiahong Dong; Lequn Li; Xue Qin; Xinping Ye; Kaiyin Xiao; Minhao Peng; Tao Peng
Journal:  Oncotarget       Date:  2017-04-25

9.  Karyotype complexity and prognosis in acute myeloid leukemia.

Authors:  F Stölzel; B Mohr; M Kramer; U Oelschlägel; T Bochtler; W E Berdel; M Kaufmann; C D Baldus; K Schäfer-Eckart; R Stuhlmann; H Einsele; S W Krause; H Serve; M Hänel; R Herbst; A Neubauer; K Sohlbach; J Mayer; J M Middeke; U Platzbecker; M Schaich; A Krämer; C Röllig; J Schetelig; M Bornhäuser; G Ehninger
Journal:  Blood Cancer J       Date:  2016-01-15       Impact factor: 11.037

10.  Identification of key pathways and genes in TP53 mutation acute myeloid leukemia: evidence from bioinformatics analysis.

Authors:  Rui Huang; Xiwen Liao; Qiaochuan Li
Journal:  Onco Targets Ther       Date:  2017-12-28       Impact factor: 4.147

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