TY - JOUR
T1 - Minimal residual disease assessment in B-cell precursor acute lymphoblastic leukemia by semi-automated identification of normal hematopoietic cells
T2 - A EuroFlow study
AU - Verbeek, Martijn W C
AU - Rodríguez, Beatriz Soriano
AU - Sedek, Lukasz
AU - Laqua, Anna
AU - Buracchi, Chiara
AU - Buysse, Malicorne
AU - Reiterová, Michaela
AU - Oliveira, Elen
AU - Morf, Daniela
AU - Oude Alink, Sjoerd R
AU - Barrena, Susana
AU - Kohlscheen, Saskia
AU - Nierkens, Stefan
AU - Hofmans, Mattias
AU - Fernandez, Paula
AU - de Costa, Elaine Sobral
AU - Mejstrikova, Ester
AU - Szczepanski, Tomasz
AU - Slota, Lukasz
AU - Brüggemann, Monika
AU - Gaipa, Giuseppe
AU - Grigore, Georgiana
AU - van Dongen, Jacques J M
AU - Orfao, Alberto
AU - van der Velden, Vincent H J
N1 - Publisher Copyright:
© 2023 The Authors. Cytometry Part B: Clinical Cytometry published by Wiley Periodicals LLC on behalf of International Clinical Cytometry Society.
PY - 2024/7
Y1 - 2024/7
N2 - Presence of minimal residual disease (MRD), detected by flow cytometry, is an important prognostic biomarker in the management of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, data-analysis remains mainly expert-dependent. In this study, we designed and validated an Automated Gating & Identification (AGI) tool for MRD analysis in BCP-ALL patients using the two tubes of the EuroFlow 8-color MRD panel. The accuracy, repeatability, and reproducibility of the AGI tool was validated in a multicenter study using bone marrow follow-up samples from 174 BCP-ALL patients, stained with the EuroFlow BCP-ALL MRD panel. In these patients, MRD was assessed both by manual analysis and by AGI tool supported analysis. Comparison of MRD levels obtained between both approaches showed a concordance rate of 83%, with comparable concordances between MRD tubes (tube 1, 2 or both), treatment received (chemotherapy versus targeted therapy) and flow cytometers (FACSCanto versus FACSLyric). After review of discordant cases by additional experts, the concordance increased to 97%. Furthermore, the AGI tool showed excellent intra-expert concordance (100%) and good inter-expert concordance (90%). In addition to MRD levels, also percentages of normal cell populations showed excellent concordance between manual and AGI tool analysis. We conclude that the AGI tool may facilitate MRD analysis using the EuroFlow BCP-ALL MRD protocol and will contribute to a more standardized and objective MRD assessment. However, appropriate training is required for the correct analysis of MRD data.
AB - Presence of minimal residual disease (MRD), detected by flow cytometry, is an important prognostic biomarker in the management of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). However, data-analysis remains mainly expert-dependent. In this study, we designed and validated an Automated Gating & Identification (AGI) tool for MRD analysis in BCP-ALL patients using the two tubes of the EuroFlow 8-color MRD panel. The accuracy, repeatability, and reproducibility of the AGI tool was validated in a multicenter study using bone marrow follow-up samples from 174 BCP-ALL patients, stained with the EuroFlow BCP-ALL MRD panel. In these patients, MRD was assessed both by manual analysis and by AGI tool supported analysis. Comparison of MRD levels obtained between both approaches showed a concordance rate of 83%, with comparable concordances between MRD tubes (tube 1, 2 or both), treatment received (chemotherapy versus targeted therapy) and flow cytometers (FACSCanto versus FACSLyric). After review of discordant cases by additional experts, the concordance increased to 97%. Furthermore, the AGI tool showed excellent intra-expert concordance (100%) and good inter-expert concordance (90%). In addition to MRD levels, also percentages of normal cell populations showed excellent concordance between manual and AGI tool analysis. We conclude that the AGI tool may facilitate MRD analysis using the EuroFlow BCP-ALL MRD protocol and will contribute to a more standardized and objective MRD assessment. However, appropriate training is required for the correct analysis of MRD data.
KW - automation
KW - B-cell differentiation
KW - BCP-ALL
KW - database
KW - MRD
UR - http://www.scopus.com/inward/record.url?scp=85171766562&partnerID=8YFLogxK
U2 - 10.1002/cyto.b.22143
DO - 10.1002/cyto.b.22143
M3 - Article
C2 - 37740440
SN - 1552-4949
VL - 106
SP - 252
EP - 263
JO - Cytometry. Part B, Clinical Cytometry.
JF - Cytometry. Part B, Clinical Cytometry.
IS - 4
ER -