Literature DB >> 25696859

Defining minimal residual disease in acute myeloid leukemia: which platforms are ready for "prime time"?

David Grimwade1, Sylvie D Freeman2.   

Abstract

The past 40 years have witnessed major advances in defining the cytogenetic aberrations, mutational landscape, epigenetic profiles, and expression changes underlying hematological malignancies. Although it has become apparent that acute myeloid leukemia (AML) is highly heterogeneous at the molecular level, the standard framework for risk stratification guiding transplant practice in this disease remains largely based on pretreatment assessment of cytogenetics and a limited panel of molecular genetic markers, coupled with morphological assessment of bone marrow (BM) blast percentage after induction. However, application of more objective methodology such as multiparameter flow cytometry (MFC) has highlighted the limitations of morphology for reliable determination of remission status. Moreover, there is a growing body of evidence that detection of subclinical levels of leukemia (ie, minimal residual disease, MRD) using MFC or molecular-based approaches provides powerful independent prognostic information. Consequently, there is increasing interest in the use of MRD detection to provide early end points in clinical trials and to inform patient management. However, implementation of MRD assessment into clinical practice remains a major challenge, hampered by differences in the assays and preferred analytical methods employed between routine laboratories. Although this should be addressed through adoption of standardized assays with external quality control, it is clear that the molecular heterogeneity of AML coupled with increasing understanding of its clonal architecture dictates that a "one size fits all" approach to MRD detection in this disease is not feasible. However, with the range of platforms now available, there is considerable scope to realistically track treatment response in every patient.
© 2014 by The American Society of Hematology. All rights reserved.

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Year:  2014        PMID: 25696859     DOI: 10.1182/asheducation-2014.1.222

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  24 in total

1.  Research in morphology and flow cytometry is at the heart of hematology.

Authors:  Marie C Béné; Gina Zini
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2.  Combining flow cytometry and WT1 assessment improves the prognostic value of pre-transplant minimal residual disease in acute myeloid leukemia.

Authors:  Fabio Guolo; Paola Minetto; Marino Clavio; Maurizio Miglino; Federica Galaverna; Anna Maria Raiola; Carmen Di Grazia; Nicoletta Colombo; Sarah Pozzi; Adalberto Ibatici; Samuele Bagnasco; Daniela Guardo; Annalisa Kunkl; Filippo Ballerini; Chiara Ghiggi; Roberto M Lemoli; Marco Gobbi; Andrea Bacigalupo
Journal:  Haematologica       Date:  2017-05-11       Impact factor: 9.941

3.  DNMT3A mutant transcript levels persist in remission and do not predict outcome in patients with acute myeloid leukemia.

Authors:  V I Gaidzik; D Weber; P Paschka; A Kaumanns; S Krieger; A Corbacioglu; J Krönke; S Kapp-Schwoerer; D Krämer; H-A Horst; I Schmidt-Wolf; G Held; A Kündgen; M Ringhoffer; K Götze; T Kindler; W Fiedler; M Wattad; R F Schlenk; L Bullinger; V Teleanu; B Schlegelberger; F Thol; M Heuser; A Ganser; H Döhner; K Döhner
Journal:  Leukemia       Date:  2017-06-23       Impact factor: 11.528

Review 4.  Management of primary refractory acute myeloid leukemia in the era of targeted therapies.

Authors:  Christine M McMahon; Alexander E Perl
Journal:  Leuk Lymphoma       Date:  2018-09-20

5.  Is there a need for morphologic exam to detect relapse in AML if multi-parameter flow cytometry is employed?

Authors:  Y Zhou; B L Wood; R B Walter; P S Becker; M-E Percival; M Bar; C Shaw; K Gardner; P Hendrie; J Abkowitz; F R Appelbaum; E Estey
Journal:  Leukemia       Date:  2017-08-18       Impact factor: 11.528

Review 6.  High-throughput sequencing for noninvasive disease detection in hematologic malignancies.

Authors:  Florian Scherer; David M Kurtz; Maximilian Diehn; Ash A Alizadeh
Journal:  Blood       Date:  2017-06-09       Impact factor: 22.113

7.  Persistence of minimal residual disease assessed by multiparameter flow cytometry is highly prognostic in younger patients with acute myeloid leukemia.

Authors:  Farhad Ravandi; Jeffrey Jorgensen; Gautam Borthakur; Elias Jabbour; Tapan Kadia; Sherry Pierce; Mark Brandt; Sa Wang; Sergej Konoplev; Xuemei Wang; Xuelin Huang; Naval Daver; Courtney DiNardo; Michael Andreeff; Marina Konopleva; Zeev Estrov; Guillermo Garcia-Manero; Jorge Cortes; Hagop Kantarjian
Journal:  Cancer       Date:  2016-09-22       Impact factor: 6.860

8.  Measurable Residual Disease at Induction Redefines Partial Response in Acute Myeloid Leukemia and Stratifies Outcomes in Patients at Standard Risk Without NPM1 Mutations.

Authors:  Sylvie D Freeman; Robert K Hills; Paul Virgo; Naeem Khan; Steve Couzens; Richard Dillon; Amanda Gilkes; Laura Upton; Ove Juul Nielsen; James D Cavenagh; Gail Jones; Asim Khwaja; Paul Cahalin; Ian Thomas; David Grimwade; Alan K Burnett; Nigel H Russell
Journal:  J Clin Oncol       Date:  2018-03-30       Impact factor: 44.544

Review 9.  Plasma-derived exosomes in acute myeloid leukemia for detection of minimal residual disease: are we ready?

Authors:  Michael Boyiadzis; Theresa L Whiteside
Journal:  Expert Rev Mol Diagn       Date:  2016-04-25       Impact factor: 5.225

Review 10.  Challenges in the harmonization of immune monitoring studies and trial design for cell-based therapies in the context of hematopoietic cell transplantation for pediatric cancer patients.

Authors:  Stefan Nierkens; Arjan C Lankester; R Maarten Egeler; Peter Bader; Franco Locatelli; Michael A Pulsipher; Catherine M Bollard; Jaap-Jan Boelens
Journal:  Cytotherapy       Date:  2015-12       Impact factor: 5.414

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