Concordance of two approaches in monitoring of minimal residual disease in B-precursor acute lymphoblastic leukemia: Fusion transcripts and leukemia-associated immunophenotypes.

Background/purpose: Real-time quantitative polymerase chain reaction (RQ-PCR) for fusion transcripts and flow cytometry for leukemia-specific markers are widely used for minimal residual disease (MRD) detection in acute lymphoblastic leukemia, but the relation between the results of either method is...

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Detalles Bibliográficos
Publicado en:Journal of the Formosan Medical Association Vol. 116; no. 10; pp. 774 - 782
Autores principales: Huang, Ying-Jung, Coustan-Smith, Elaine, Kao, Hsiao-Wen, Liu, Hsi-Che, Chen, Shih-Hsiang, Hsiao, Chih-Cheng, Yang, Chao-Ping, Jaing, Tang-Her, Yeh, Ting-Chi, Kuo, Ming-Chung, Lai, Chang-Liang, Chang, Chia-Hui, Campana, Dario, Liang, Der-Cherng, Shih, Lee-Yung
Formato: Journal Article
Publicado: Elsevier B.V. Oct2017
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Background/purpose: Real-time quantitative polymerase chain reaction (RQ-PCR) for fusion transcripts and flow cytometry for leukemia-specific markers are widely used for minimal residual disease (MRD) detection in acute lymphoblastic leukemia, but the relation between the results of either method is unclear.Methods: Mononucleated cells from 108 bone marrow samples collected from 55 B-precursor acute lymphoblastic leukemia patients (30 with t(12;21)/ETV6-RUNX1, 16 with t(9;22)/BCR-ABL1 and nine with t(1;19)/TCF3-PBX1) were examined in tandem by RQ-PCR and six-color flow cytometry.Results: MRD results were concordant in 91 of the 108 paired samples (84.2%; K=0.690); 49 samples were MRD-negative while 42 were MRD-positive by both methods, with < 1 log difference in positive MRD estimates in 39 samples (92.9%). Of the 17 discordant samples, 16 were MRD-positive by RQ-PCR but MRD-negative by flow cytometry; the opposite was true in one sample. Kappa value/concordance was 0.690/85.0% (n = 60) for ETV6-RUNX1, 0.842/93.3% (n = 15) for TCF3-PBX1, and 0.535/78.8% (n = 33) for BCR-ABL1. Specific immunophenotypic abnormalities were more prevalent in each genetic subgroup, such as CD38 underexpression, CD58 overexpression, and CD34 overexpression in ETV6-RUNX1, TCF3-PBX1, and BCR-ABL1, respectively.Conclusion: In most follow-up samples, MRD estimates by two methods are in agreement, especially in patients with TCF3-PBX1.