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Published in: Journal of Hematopathology 3/2020

01-09-2020 | Leukemia | Original Article

IgH gene rearrangement by PCR as an adjunct to flow cytometric analysis for the detection of minimal residual disease in patients with B lymphoblastic leukemia

Authors: Mark Kavesh, Ying Li, Peng Li, Mohammad Shahid, Joanna Chaffin, Robert Seifert

Published in: Journal of Hematopathology | Issue 3/2020

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Abstract

To examine the benefits of performing flow cytometry and PCR for IGH gene rearrangement in parallel for the detection of minimal residual disease (MRD) in patients with B lymphoblastic leukemia. A flow cytometric assay for MRD and PCR-based assay for IGH gene rearrangement were performed, concurrently, on bone marrow evaluations from patients with a new or previous diagnosis of B-ALL from Oct 1, 2016, to Mar 25, 2019. The results were compared by the kappa (K) statistic. A total of 119 cases had concurrent flow cytometry and PCR for monoclonal IGH gene rearrangement performed. The overall percent agreement was 84% (K = 0.739, 95% CI 0.62–0.86). Concordant positive follow-up cases did not contain a significantly higher percentage of B cells versus flow cytometry-positive, PCR-negative follow-up cases (0.41% vs 1.69% p = 0.22). In one patient who received chimeric antigen receptor T cell therapy, MRD was detectable only by PCR. The IGH gene rearrangement assay, in conjunction with flow cytometry, has clinical utility in the diagnosis of MRD in patients with B-ALL. PCR for IGH gene rearrangement may improve the monitoring of patients with tumor phenotypes challenging to detect by flow cytometry.
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Metadata
Title
IgH gene rearrangement by PCR as an adjunct to flow cytometric analysis for the detection of minimal residual disease in patients with B lymphoblastic leukemia
Authors
Mark Kavesh
Ying Li
Peng Li
Mohammad Shahid
Joanna Chaffin
Robert Seifert
Publication date
01-09-2020
Publisher
Springer Berlin Heidelberg
Keyword
Leukemia
Published in
Journal of Hematopathology / Issue 3/2020
Print ISSN: 1868-9256
Electronic ISSN: 1865-5785
DOI
https://doi.org/10.1007/s12308-020-00406-8

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