Literature DB >> 28419441

Detailed immunophenotyping of B-cell precursors in regenerating bone marrow of acute lymphoblastic leukaemia patients: implications for minimal residual disease detection.

Prisca M J Theunissen1, Lukasz Sedek2,3, Valerie De Haas4, Tomasz Szczepanski2,3, Alita Van Der Sluijs4, Ester Mejstrikova5, Michaela Nováková5, Tomas Kalina5, Quentin Lecrevisse6, Alberto Orfao6, Arjan C Lankester7, Jacques J M van Dongen1,8, Vincent H J Van Der Velden1.   

Abstract

Flow cytometric detection of minimal residual disease (MRD) in children with B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) requires immunophenotypic discrimination between residual leukaemic cells and B-cell precursors (BCPs) which regenerate during therapy intervals. In this study, EuroFlow-based 8-colour flow cytometry and innovative analysis tools were used to first characterize the immunophenotypic maturation of normal BCPs in bone marrow (BM) from healthy children, resulting in a continuous multiparametric pathway including transition stages. This pathway was subsequently used as a reference to characterize the immunophenotypic maturation of regenerating BCPs in BM from children treated for BCP-ALL. We identified pre-B-I cells that expressed low or dim CD34 levels, in contrast to the classical CD34high pre-B-I cell immunophenotype. These CD34-dim pre-B-I cells were relatively abundant in regenerating BM (11-85% within pre-B-I subset), while hardly present in healthy control BM (9-13% within pre-B-I subset; P = 0·0037). Furthermore, we showed that some of the BCP-ALL diagnosis immunophenotypes (23%) overlapped with CD34-dim pre-B-I cells. Our results indicate that newly identified CD34-dim pre-B-I cells can be mistaken for residual BCP-ALL cells, potentially resulting in false-positive MRD outcomes. Therefore, regenerating BM, in which CD34-dim pre-B-I cells are relatively abundant, should be used as reference frame in flow cytometric MRD measurements.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  B cells; acute leukaemia; flow cytometry; minimal residual disease

Mesh:

Substances:

Year:  2017        PMID: 28419441     DOI: 10.1111/bjh.14682

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  6 in total

Review 1.  A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.

Authors:  Timothy J Keyes; Pablo Domizi; Yu-Chen Lo; Garry P Nolan; Kara L Davis
Journal:  Cytometry A       Date:  2020-06-30       Impact factor: 4.355

2.  Innovation in Flow Cytometry Analysis: A New Paradigm Delineating Normal or Diseased Bone Marrow Subsets Through Machine Learning.

Authors:  Francis Lacombe; Benoît Dupont; Nicolas Lechevalier; Jean Philippe Vial; Marie C Béné
Journal:  Hemasphere       Date:  2019-02-22

Review 3.  Commonly Assessed Markers in Childhood BCP-ALL Diagnostic Panels and Their Association with Genetic Aberrations and Outcome Prediction.

Authors:  Jan Kulis; Łukasz Sędek; Łukasz Słota; Bartosz Perkowski; Tomasz Szczepański
Journal:  Genes (Basel)       Date:  2022-07-31       Impact factor: 4.141

4.  Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube.

Authors:  Vitor Botafogo; Martín Pérez-Andres; María Jara-Acevedo; Paloma Bárcena; Georgiana Grigore; Alejandro Hernández-Delgado; Daniela Damasceno; Suzanne Comans; Elena Blanco; Alfonso Romero; Sonia Arriba-Méndez; Irene Gastaca-Abasolo; Carlos Eduardo Pedreira; Jacqueline A M van Gaans-van den Brink; Véronique Corbiere; Françoise Mascart; Cécile A C M van Els; Alex-Mikael Barkoff; Andrea Mayado; Jacques J M van Dongen; Julia Almeida; Alberto Orfao
Journal:  Front Immunol       Date:  2020-02-27       Impact factor: 7.561

Review 5.  The Role of Measurable Residual Disease (MRD) in Hematopoietic Stem Cell Transplantation for Hematological Malignancies Focusing on Acute Leukemia.

Authors:  Anna Czyz; Arnon Nagler
Journal:  Int J Mol Sci       Date:  2019-10-28       Impact factor: 5.923

6.  A cross-standardized flow cytometry platform to assess phenotypic stability in precursor B-cell acute lymphoblastic leukemia (B-ALL) xenografts.

Authors:  Nina Rolf; Lorraine Y T Liu; Angela Tsang; Philipp F Lange; Chinten James Lim; Christopher A Maxwell; Suzanne M Vercauteren; Gregor S D Reid
Journal:  Cytometry A       Date:  2021-06-25       Impact factor: 4.714

  6 in total

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