Literature DB >> 24151248

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. The 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 the 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.

Entities:  

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

Mesh:

Substances:

Year:  2013        PMID: 24151248     DOI: 10.1002/cyto.b.21134

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


  33 in total

1.  A simple one-tube assay for immunophenotypical quantification of leukemic stem cells in acute myeloid leukemia.

Authors:  W Zeijlemaker; A Kelder; Y J M Oussoren-Brockhoff; W J Scholten; A N Snel; D Veldhuizen; J Cloos; G J Ossenkoppele; G J Schuurhuis
Journal:  Leukemia       Date:  2015-09-16       Impact factor: 11.528

Review 2.  Minimal/Measurable Residual Disease Detection in Acute Leukemias by Multiparameter Flow Cytometry.

Authors:  Franklin Fuda; Weina Chen
Journal:  Curr Hematol Malig Rep       Date:  2018-12       Impact factor: 3.952

3.  Correlation between p65 and TNF-α in patients with acute myelocytic leukemia.

Authors:  Qiao-Mei Dong; Chun Ling; Jun-Fang Zhu; Xuan Chen; Yan Tang; L I Zhao
Journal:  Oncol Lett       Date:  2015-09-17       Impact factor: 2.967

4.  Prognostic value of antigen expression in multiple myeloma: a PETHEMA/GEM study on 1265 patients enrolled in four consecutive clinical trials.

Authors:  P Arana; B Paiva; M-T Cedena; N Puig; L Cordon; M-B Vidriales; N C Gutierrez; F Chiodi; L Burgos; L-L Anglada; J Martinez-Lopez; M-T Hernandez; A-I Teruel; M Gironella; M-A Echeveste; L Rosiñol; R Martinez; A Oriol; J De la Rubia; A Orfao; J Blade; J-J Lahuerta; M-V Mateos; J-F San Miguel
Journal:  Leukemia       Date:  2017-11-03       Impact factor: 11.528

5.  The clinical significance of negative flow cytometry immunophenotypic results in a morphologically scored positive bone marrow in patients following treatment for acute myeloid leukemia.

Authors:  Juan Ouyang; Maitrayee Goswami; Guilin Tang; Jie Peng; Farhad Ravandi; Naval Daver; Mark Routbort; Sergej Konoplev; Pei Lin; L Jeffrey Medeiros; Jeffrey L Jorgensen; Sa A Wang
Journal:  Am J Hematol       Date:  2015-04-02       Impact factor: 10.047

Review 6.  Targeting mTOR signaling pathways and related negative feedback loops for the treatment of acute myeloid leukemia.

Authors:  Benedito A Carneiro; Jason B Kaplan; Jessica K Altman; Francis J Giles; Leonidas C Platanias
Journal:  Cancer Biol Ther       Date:  2015       Impact factor: 4.742

Review 7.  Measurable residual disease testing in acute myeloid leukaemia.

Authors:  C S Hourigan; R P Gale; N J Gormley; G J Ossenkoppele; R B Walter
Journal:  Leukemia       Date:  2017-04-07       Impact factor: 11.528

Review 8.  Translating leukemia stem cells into the clinical setting: Harmonizing the heterogeneity.

Authors:  Breann Yanagisawa; Gabriel Ghiaur; B Douglas Smith; Richard J Jones
Journal:  Exp Hematol       Date:  2016-09-28       Impact factor: 3.084

9.  Treatment of CD33-directed chimeric antigen receptor-modified T cells in one patient with relapsed and refractory acute myeloid leukemia.

Authors:  Quan-shun Wang; Yao Wang; Hai-yan Lv; Qing-wang Han; Hui Fan; Bo Guo; Li-li Wang; Wei-dong Han
Journal:  Mol Ther       Date:  2014-09-01       Impact factor: 11.454

Review 10.  Incorporating measurable ('minimal') residual disease-directed treatment strategies to optimize outcomes in adults with acute myeloid leukemia.

Authors:  Kristen Pettit; Wendy Stock; Roland B Walter
Journal:  Leuk Lymphoma       Date:  2016-07
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