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Minimal residual disease analysis by eight-color flow cytometry in relapsed childhood acute lymphoblastic leukemia

Authors :
Leonid Karawajew
Michael Dworzak
Richard Ratei
Peter Rhein
Giuseppe Gaipa
Barbara Buldini
Giuseppe Basso
Ondrej Hrusak
Wolf-Dieter Ludwig
Günter Henze
Karl Seeger
Arend von Stackelberg
Ester Mejstrikova
Cornelia Eckert
Source :
Haematologica, Vol 100, Iss 7 (2015)
Publication Year :
2015
Publisher :
Ferrata Storti Foundation, 2015.

Abstract

Multiparametric flow cytometry is an alternative approach to the polymerase chain reaction method for evaluating minimal residual disease in treatment protocols for primary acute lymphoblastic leukemia. Given considerable differences between primary and relapsed acute lymphoblastic leukemia treatment regimens, flow cytometric assessment of minimal residual disease in relapsed leukemia requires an independent comprehensive investigation. In the present study we addressed evaluation of minimal residual disease by flow cytometry in the clinical trial for childhood relapsed acute lymphoblastic leukemia using eight-color flow cytometry. The major challenge of the study was to reliably identify low amounts of residual leukemic cells against the complex background of regeneration, characteristic of follow-up samples during relapse treatment. In a prospective study of 263 follow-up bone marrow samples from 122 patients with B-cell precursor acute lymphoblastic leukemia, we tested various B-cell markers, adapted the antibody panel to the treatment protocol, and evaluated its performance by a blinded parallel comparison with the polymerase chain reaction data. The resulting eight-color single-tube panel showed a consistently high overall concordance (P

Details

Language :
English
ISSN :
03906078 and 15928721
Volume :
100
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Haematologica
Publication Type :
Academic Journal
Accession number :
edsdoj.794baf48cec54ed892ec14e1f25ef65e
Document Type :
article
Full Text :
https://doi.org/10.3324/haematol.2014.116707