Literature DB >> 15284114

Determination of relapse risk based on assessment of minimal residual disease during complete remission by multiparameter flow cytometry in unselected patients with acute myeloid leukemia.

Wolfgang Kern1, Daniela Voskova, Claudia Schoch, Wolfgang Hiddemann, Susanne Schnittger, Torsten Haferlach.   

Abstract

Quantification of minimal residual disease (MRD) reveals significant prognostic information in patients treated for acute myeloid leukemia (AML). The application of multiparameter flow cytometry (MFC) for MRD assessment has resulted in significant prognostic information in selected cases in previous analyses. We analyzed MRD in unselected patients with AML in complete remission (CR) after induction (n = 58) and consolidation (n = 62) therapies. By using a comprehensive panel of monoclonal antibodies we identified at least one leukemia-associated aberrant immunophenotype (LAIP) in each patient. The degree of reduction between diagnosis and CR in LAIP-positive cells (log difference [LD]) as a continuous variable was significantly related to relapse-free survival (RFS) both after induction (P = .0001) and consolidation (P = .000 08) therapies, respectively. The LD determined after consolidation therapy was the only parameter related to overall survival (OS) (P = .005). Separation of patients based on the 75th percentile of LD after consolidation therapy resulted in groups with highly different RFS (83.3% versus 25.7%, P = .0034) and OS (87.5% versus 51.4%, P = .0507) at 2 years. Multivariate analysis identified LD as an independent prognostic factor for RFS at both checkpoints. MFC-based quantification of MRD reveals important prognostic information in unselected patients with AML in addition to cytogenetics and should be further evaluated and used in clinical trials.

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Year:  2004        PMID: 15284114     DOI: 10.1182/blood-2004-03-1036

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  66 in total

1.  Minimal residual disease detection in pediatric acute myeloid leukemia: does flow cytometry score a point over molecular biology?

Authors:  Adriano Venditti; Maria Ilaria Del Principe; Luca Maurillo; Francesco Buccisano; Sergio Amadori
Journal:  Transl Pediatr       Date:  2013-01

2.  Correlation of minimal residual disease cell frequency with molecular genotype in patients with acute myeloid leukemia.

Authors:  Corine J Hess; Nicole Feller; Fedor Denkers; Angèle Kelder; Pauline A Merle; Michael C Heinrich; Amy Harlow; Johannes Berkhof; Gert J Ossenkoppele; Quinten Waisfisz; Gerrit J Schuurhuis
Journal:  Haematologica       Date:  2008-11-27       Impact factor: 9.941

3.  High number of additional genetic lesions in acute myeloid leukemia with t(8;21)/RUNX1-RUNX1T1: frequency and impact on clinical outcome.

Authors:  M-T Krauth; C Eder; T Alpermann; U Bacher; N Nadarajah; W Kern; C Haferlach; T Haferlach; S Schnittger
Journal:  Leukemia       Date:  2014-01-09       Impact factor: 11.528

4.  Clinical impact of FLT3 mutation load in acute promyelocytic leukemia with t(15;17)/PML-RARA.

Authors:  Susanne Schnittger; Ulrike Bacher; Claudia Haferlach; Wolfgang Kern; Tamara Alpermann; Torsten Haferlach
Journal:  Haematologica       Date:  2011-08-22       Impact factor: 9.941

Review 5.  Minimal residual disease in acute myelogenous leukemia.

Authors:  N M Cruz; N Mencia-Trinchant; D C Hassane; M L Guzman
Journal:  Int J Lab Hematol       Date:  2017-05       Impact factor: 2.877

Review 6.  Multi-color flow cytometric immunophenotyping for detection of minimal residual disease in AML: past, present and future.

Authors:  J M Jaso; S A Wang; J L Jorgensen; P Lin
Journal:  Bone Marrow Transplant       Date:  2014-05-19       Impact factor: 5.483

Review 7.  Targeting acute myeloid leukemia stem cells: a review and principles for the development of clinical trials.

Authors:  Daniel A Pollyea; Jonathan A Gutman; Lia Gore; Clayton A Smith; Craig T Jordan
Journal:  Haematologica       Date:  2014-08       Impact factor: 9.941

8.  WT1 mutations are secondary events in AML, show varying frequencies and impact on prognosis between genetic subgroups.

Authors:  M-T Krauth; T Alpermann; U Bacher; C Eder; F Dicker; M Ulke; S Kuznia; N Nadarajah; W Kern; C Haferlach; T Haferlach; S Schnittger
Journal:  Leukemia       Date:  2014-08-11       Impact factor: 11.528

Review 9.  Minimal residual disease quantitation in acute myeloid leukemia.

Authors:  David Shook; Elaine Coustan-Smith; Raul C Ribeiro; Jeffrey E Rubnitz; Dario Campana
Journal:  Clin Lymphoma Myeloma       Date:  2009

Review 10.  What are the endpoints of therapy for acute leukemias? Old definitions and new challenges.

Authors:  B Douglas Smith; Judith E Karp
Journal:  Clin Lymphoma Myeloma       Date:  2009
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