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FCM marker importance for MRD assessment in T‐cell acute lymphoblastic leukemia: An AIEOP‐BFM‐ALL‐FLOW study group report.

Authors :
Kowarsch, Florian
Maurer‐Granofszky, Margarita
Weijler, Lisa
Wödlinger, Matthias
Reiter, Michael
Schumich, Angela
Feuerstein, Tamar
Sala, Simona
Nováková, Michaela
Faggin, Giovanni
Gaipa, Giuseppe
Hrusak, Ondrej
Buldini, Barbara
Dworzak, Michael N.
Source :
Cytometry. Part A; Jan2024, Vol. 105 Issue 1, p24-35, 12p
Publication Year :
2024

Abstract

T‐lineage acute lymphoblastic leukemia (T‐ALL) accounts for about 15% of pediatric and about 25% of adult ALL cases. Minimal/measurable residual disease (MRD) assessed by flow cytometry (FCM) is an important prognostic indicator for risk stratification. In order to assess the MRD a limited number of antibodies directed against the most discriminative antigens must be selected. We propose a pipeline for evaluating the influence of different markers for cell population classification in FCM data. We use linear support vector machine, fitted to each sample individually to avoid issues with patient and laboratory variations. The best separating hyperplane direction as well as the influence of omitting specific markers is considered. Ninety‐one bone marrow samples of 43 pediatric T‐ALL patients from five reference laboratories were analyzed by FCM regarding marker importance for blast cell identification using combinations of eight different markers. For all laboratories, CD48 and CD99 were among the top three markers with strongest contribution to the optimal hyperplane, measured by median separating hyperplane coefficient size for all samples per center and time point (diagnosis, Day 15, Day 33). Based on the available limited set tested (CD3, CD4, CD5, CD7, CD8, CD45, CD48, CD99), our findings prove that CD48 and CD99 are useful markers for MRD monitoring in T‐ALL. The proposed pipeline can be applied for evaluation of other marker combinations in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15524922
Volume :
105
Issue :
1
Database :
Complementary Index
Journal :
Cytometry. Part A
Publication Type :
Academic Journal
Accession number :
174934999
Full Text :
https://doi.org/10.1002/cyto.a.24805