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Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy

SIMPLE SUMMARY: We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy....

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Autores principales: Mikhailova, Ekaterina, Illarionova, Olga, Komkov, Alexander, Zerkalenkova, Elena, Mamedov, Ilgar, Shelikhova, Larisa, Olshanskaya, Yulia, Miakova, Natalia, Novichkova, Galina, Karachunskiy, Alexander, Maschan, Michael, Popov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658935/
https://www.ncbi.nlm.nih.gov/pubmed/36358863
http://dx.doi.org/10.3390/cancers14215445
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author Mikhailova, Ekaterina
Illarionova, Olga
Komkov, Alexander
Zerkalenkova, Elena
Mamedov, Ilgar
Shelikhova, Larisa
Olshanskaya, Yulia
Miakova, Natalia
Novichkova, Galina
Karachunskiy, Alexander
Maschan, Michael
Popov, Alexander
author_facet Mikhailova, Ekaterina
Illarionova, Olga
Komkov, Alexander
Zerkalenkova, Elena
Mamedov, Ilgar
Shelikhova, Larisa
Olshanskaya, Yulia
Miakova, Natalia
Novichkova, Galina
Karachunskiy, Alexander
Maschan, Michael
Popov, Alexander
author_sort Mikhailova, Ekaterina
collection PubMed
description SIMPLE SUMMARY: We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy. We have developed a single-tube 11-color panel for MFC-MRD detection, which was adapted for the case of possible CD19 loss. Based on patterns of antigen expression changes and the relative expansion of normal CD19-negative BCPs, guidelines for MFC data analysis and interpretation were established. The suggested approach was tested in comparison with the molecular techniques with a high rate of qualitative concordance obtained. ABSTRACT: We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy. The development of the approach, which was adapted for the case of possible CD19 loss, was based on the additional B-lineage marker expression data obtained from a study of primary BCP-ALL patients, an analysis of the immunophenotypic changes that occur during blinatumomab or CAR-T therapy, and an analysis of very early CD19-negative normal BCPs. We have developed a single-tube 11-color panel for MFC-MRD detection. CD22- and iCD79a-based primary B-lineage gating (preferably consecutive) was recommended. Based on patterns of antigen expression changes and the relative expansion of normal CD19-negative BCPs, guidelines for MFC data analysis and interpretation were established. The suggested approach was tested in comparison with the molecular techniques: IG/TR gene rearrangement detection by next-generation sequencing (NGS) and RQ-PCR for fusion-gene transcripts (FGTs). Qualitative concordance rates of 82.8% and 89.8% were obtained for NGS-MRD and FGT-MRD results, respectively. We have developed a sensitive and reliable approach that allows MFC-MRD monitoring after CD19-directed treatment, even in the case of possible CD19 loss.
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spelling pubmed-96589352022-11-15 Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy Mikhailova, Ekaterina Illarionova, Olga Komkov, Alexander Zerkalenkova, Elena Mamedov, Ilgar Shelikhova, Larisa Olshanskaya, Yulia Miakova, Natalia Novichkova, Galina Karachunskiy, Alexander Maschan, Michael Popov, Alexander Cancers (Basel) Article SIMPLE SUMMARY: We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy. We have developed a single-tube 11-color panel for MFC-MRD detection, which was adapted for the case of possible CD19 loss. Based on patterns of antigen expression changes and the relative expansion of normal CD19-negative BCPs, guidelines for MFC data analysis and interpretation were established. The suggested approach was tested in comparison with the molecular techniques with a high rate of qualitative concordance obtained. ABSTRACT: We aimed to develop an antibody panel and data analysis algorithm for multicolor flow cytometry (MFC), which is a reliable method for minimal residual disease (MRD) detection in patients with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) treated with CD19-directed therapy. The development of the approach, which was adapted for the case of possible CD19 loss, was based on the additional B-lineage marker expression data obtained from a study of primary BCP-ALL patients, an analysis of the immunophenotypic changes that occur during blinatumomab or CAR-T therapy, and an analysis of very early CD19-negative normal BCPs. We have developed a single-tube 11-color panel for MFC-MRD detection. CD22- and iCD79a-based primary B-lineage gating (preferably consecutive) was recommended. Based on patterns of antigen expression changes and the relative expansion of normal CD19-negative BCPs, guidelines for MFC data analysis and interpretation were established. The suggested approach was tested in comparison with the molecular techniques: IG/TR gene rearrangement detection by next-generation sequencing (NGS) and RQ-PCR for fusion-gene transcripts (FGTs). Qualitative concordance rates of 82.8% and 89.8% were obtained for NGS-MRD and FGT-MRD results, respectively. We have developed a sensitive and reliable approach that allows MFC-MRD monitoring after CD19-directed treatment, even in the case of possible CD19 loss. MDPI 2022-11-05 /pmc/articles/PMC9658935/ /pubmed/36358863 http://dx.doi.org/10.3390/cancers14215445 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mikhailova, Ekaterina
Illarionova, Olga
Komkov, Alexander
Zerkalenkova, Elena
Mamedov, Ilgar
Shelikhova, Larisa
Olshanskaya, Yulia
Miakova, Natalia
Novichkova, Galina
Karachunskiy, Alexander
Maschan, Michael
Popov, Alexander
Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title_full Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title_fullStr Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title_full_unstemmed Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title_short Reliable Flow-Cytometric Approach for Minimal Residual Disease Monitoring in Patients with B-Cell Precursor Acute Lymphoblastic Leukemia after CD19-Targeted Therapy
title_sort reliable flow-cytometric approach for minimal residual disease monitoring in patients with b-cell precursor acute lymphoblastic leukemia after cd19-targeted therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658935/
https://www.ncbi.nlm.nih.gov/pubmed/36358863
http://dx.doi.org/10.3390/cancers14215445
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