Literature DB >> 24123710

Tumor heterogeneity makes AML a "moving target" for detection of residual disease.

W Zeijlemaker1, J W Gratama, G J Schuurhuis.   

Abstract

Detection of minimal residual disease is recognized as an important post-therapy risk factor in acute myeloid leukemia patients. Two most commonly used methods for residual disease monitoring are real time quantitative polymerase chain reaction and multiparameter flow cytometry. Results so far are very promising, whereby it is likely that minimal residual disease results will enable to guide future post-remission treatment strategies. However, the leukemic clone may change between diagnosis and relapse due to instability of the tumor cells. This instability may already be evident at diagnosis if different subpopulations of tumor cells coexist. Such tumor heterogeneity, which may be reflected by immunophenotypic, molecular and/or cytogenetic changes, can have important consequences for minimal residual disease detection, since false-negative results can be expected to be the result of losses of aberrancies used as minimal residual disease markers. In this review the role of such changes in minimal residual disease monitoring is explored. Furthermore, possible causes of tumor instability are discussed, whereby the concept of clonal selection and expansion of a chemotherapy resistant subpopulation is highlighted. Accordingly, detailed knowledge of the process of clonal evolution is required to improve both minimal residual disease risk stratification and patient outcome. © 2013 Clinical Cytometry Society.
Copyright © 2013 Clinical Cytometry Society.

Entities:  

Keywords:  acute myeloid leukemia; clonal evolution; flow cytometry; minimal residual disease; phenotypic changes; quantitative polymerase chain reaction

Year:  2013        PMID: 24123710     DOI: 10.1002/cytob.21134

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  5 in total

1.  Clinical Utility of Next-Generation Sequencing in Acute Myeloid Leukemia.

Authors:  Fei Yang; Tauangtham Anekpuritanang; Richard D Press
Journal:  Mol Diagn Ther       Date:  2020-02       Impact factor: 4.074

Review 2.  Methods of Detection of Measurable Residual Disease in AML.

Authors:  Yi Zhou; Brent L Wood
Journal:  Curr Hematol Malig Rep       Date:  2017-12       Impact factor: 3.952

3.  Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry.

Authors:  Hugues Jacqmin; Bernard Chatelain; Quentin Louveaux; Philippe Jacqmin; Jean-Michel Dogné; Carlos Graux; François Mullier
Journal:  Diagnostics (Basel)       Date:  2020-05-18

4.  Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia.

Authors:  Jean Philippe Vial; Nicolas Lechevalier; Francis Lacombe; Pierre-Yves Dumas; Audrey Bidet; Thibaut Leguay; François Vergez; Arnaud Pigneux; Marie C Béné
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

Review 5.  Diagnostic challenges in acute monoblastic/monocytic leukemia in children.

Authors:  Elena Varotto; Eleonora Munaretto; Francesca Stefanachi; Fiammetta Della Torre; Barbara Buldini
Journal:  Front Pediatr       Date:  2022-09-28       Impact factor: 3.569

  5 in total

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