Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma

Author

Medina, Alejandro

Puig, Noemí

Flores-Montero, Juan

Jimenez, Cristina

Sarasquete, M. Eugenia

García-Álvarez, María

Prieto-Conde, Isabel

Chillon, Carmen

Alcoceba, Miguel

Gutierrez, Norma C.

Oriol, Albert

Rosinol, Laura

Bladé Creixenti, Juan

Gironella, Mercedes

Hernandez, Miguel T.

Gonzalez-Calle, Verónica

Cedena, María Teresa

Paiva, Bruno

San-Miguel, J

Lahuerta, J. J.

Mateos, M. V.

Martínez-López, Joaquín

Orfao, Alberto

González, Marcos

García-Sanz, Ramón

Universitat Autònoma de Barcelona

Publication date

2020

Abstract

Detecting persistent minimal residual disease (MRD) allows the identification of patients with an increased risk of relapse and death. In this study, we have evaluated MRD 3 months after transplantation in 106 myeloma patients using a commercial next-generation sequencing (NGS) strategy (LymphoTrack®), and compared the results with next-generation flow (NGF, EuroFlow). The use of different marrow pulls and the need of concentrating samples for NGS biased the applicability for MRD evaluation and favored NGF. Despite that, correlation between NGS and NGF was high (R = 0.905). The 3-year progression-free survival (PFS) rates by NGS and NGF were longer for undetectable vs. positive patients (NGS: 88.7% vs. 56.6%; NGF: 91.4% vs. 50%; p < 0.001 for both comparisons), which resulted in a 3-year overall survival (OS) advantage (NGS: 96.2% vs. 77.3%; NGF: 96.6% vs. 74.9%, p < 0.01 for both comparisons). In the Cox regression model, NGS and NGF negativity had similar results but favoring the latter in PFS (HR: 0.20, 95% CI: 0.09-0.45, p < 0.001) and OS (HR: 0.21, 95% CI: 0.06-0.75, p = 0.02). All these results reinforce the role of MRD detection by different strategies in patient prognosis and highlight the use of MRD as an endpoint for multiple myeloma treatment.

Document Type

Article

Language

English

Subjects and keywords

Myeloma; Risk factors

Publisher

 

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Rights

open access

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