» Articles » PMID: 24342950

Next-generation Sequencing and Real-time Quantitative PCR for Minimal Residual Disease Detection in B-cell Disorders

Overview
Journal Leukemia
Specialties Hematology
Oncology
Date 2013 Dec 18
PMID 24342950
Citations 150
Authors
Affiliations
Soon will be listed here.
Abstract

In this study, we compared immunoglobulin heavy-chain-gene-based minimal residual disease (MRD) detection by real-time quantitative PCR (RQ-PCR) and next-generation sequencing (NGS) to assess whether NGS could overcome some limitations of RQ-PCR and further increase sensitivity, specificity, accuracy and reproducibility. In total, 378 samples from 55 patients with acute lymphoblastic leukemia (ALL), mantle cell lymphoma (MCL) or multiple myeloma (MM) were investigated for clonotype identification, clonotype identity and comparability of MRD results. Forty-five clonotypes were identified by RQ-PCR and 49 by NGS. Clonotypes identified by both tools were identical or >97% homologous in 96% of cases. Both tools were able to routinely reach a sensitivity level of 1 × E-05. A good correlation of MRD results was observed (R=0.791, P<0.001), with excellent concordance in 79.6% of cases. Few discordant cases were observed across all disease subtypes. NGS showed at least the same level of sensitivity as allele-specific oligonucleotides-PCR, without the need for patient-specific reagents. We conclude that NGS is an effective tool for MRD monitoring in ALL, MCL and MM. Prospective comparative analysis of unselected cases is required to validate the clinical impact of NGS-based MRD assessment.

Citing Articles

Measurable Residual Disease in Mantle Cell Lymphoma: The Unbearable Lightness of Being Undetectable.

Cartagena J, Deshpande A, Rosenthal A, Tsang M, Hilal T, Rimsza L Curr Oncol Rep. 2024; 26(12):1664-1674.

PMID: 39641852 DOI: 10.1007/s11912-024-01620-8.


Flow Cytometric MRD Detection in Selected Mature B-Cell Malignancies.

Engelmann R, Bottcher S Methods Mol Biol. 2024; 2865:145-188.

PMID: 39424724 DOI: 10.1007/978-1-0716-4188-0_7.


Minimal residual disease detection in lymphoma: methods, procedures and clinical significance.

Zhang S, Wang X, Yang Z, Ding M, Zhang M, Young K Front Immunol. 2024; 15:1430070.

PMID: 39188727 PMC: 11345172. DOI: 10.3389/fimmu.2024.1430070.


[Chinese expert consensus on minimal residual disease detection in multiple myeloma based on bone marrow samples (2024)].

Zhonghua Xue Ye Xue Za Zhi. 2024; 45(6):534-541.

PMID: 39134483 PMC: 11310804. DOI: 10.3760/cma.j.cn121090-20240430-00167.


Advances in estimating plasma cells in bone marrow: A comprehensive method review.

Gantana E, Musekwa E, Chapanduka Z Afr J Lab Med. 2024; 13(1):2381.

PMID: 39114749 PMC: 11304106. DOI: 10.4102/ajlm.v13i1.2381.


References
1.
Campana D . Role of minimal residual disease monitoring in adult and pediatric acute lymphoblastic leukemia. Hematol Oncol Clin North Am. 2009; 23(5):1083-98, vii. PMC: 2762949. DOI: 10.1016/j.hoc.2009.07.010. View

2.
Campana D . Minimal residual disease monitoring in childhood acute lymphoblastic leukemia. Curr Opin Hematol. 2012; 19(4):313-8. DOI: 10.1097/MOH.0b013e3283543d5c. View

3.
Bruggemann M, Gokbuget N, Kneba M . Acute lymphoblastic leukemia: monitoring minimal residual disease as a therapeutic principle. Semin Oncol. 2012; 39(1):47-57. DOI: 10.1053/j.seminoncol.2011.11.009. View

4.
Szczepanski T, Willemse M, Brinkhof B, van Wering E, van der Burg M, van Dongen J . Comparative analysis of Ig and TCR gene rearrangements at diagnosis and at relapse of childhood precursor-B-ALL provides improved strategies for selection of stable PCR targets for monitoring of minimal residual disease. Blood. 2002; 99(7):2315-23. DOI: 10.1182/blood.v99.7.2315. View

5.
Logan A, Zhang B, Narasimhan B, Carlton V, Zheng J, Moorhead M . Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia. Leukemia. 2013; 27(8):1659-65. PMC: 3740398. DOI: 10.1038/leu.2013.52. View