Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma.
Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma.
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下一代测序(NGS)与下一代流式细胞术(NGF)在多发性骨髓瘤微小残留病(MRD)评估中的比较。
DOI:
10.1038/s41408-020-00377-0
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发表时间:
2020-10-30
影响因子:
12.8
通讯作者:
Garcia-Sanz R
中科院分区:
文献类型:
--
作者:
Medina A;Puig N;Flores-Montero J;Jimenez C;Sarasquete ME;Garcia-Alvarez M;Prieto-Conde I;Chillon C;Alcoceba M;Gutierrez NC;Oriol A;Rosinol L;Bladè J;Gironella M;Hernandez MT;Gonzalez-Calle V;Cedena MT;Paiva B;San-Miguel JF;Lahuerta JJ;Mateos MV;Martinez-Lopez J;Orfao A;Gonzalez M;Garcia-Sanz R
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 (R2 = 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.
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影响因子:
158.5
作者:
Mateos, M. -V.;Dimopoulos, M. A.;San-Miguel, J.
通讯作者:
San-Miguel, J.
DOI:
10.1038/nrclinonc.2014.239
发表时间:
2015-05
期刊:
Nature reviews. Clinical oncology
影响因子:
--
作者:
Mailankody S;Korde N;Lesokhin AM;Lendvai N;Hassoun H;Stetler-Stevenson M;Landgren O
通讯作者:
Landgren O
影响因子:
11.4
作者:
Durie, B. G. M.;Harousseau, J-L;Rajkumar, S. V.
通讯作者:
Rajkumar, S. V.
影响因子:
20.3
作者:
Perrot, Aurore;Lauwers-Cances, Valerie;Munshi, Nikhil
通讯作者:
Munshi, Nikhil
影响因子:
10.1
作者:
Rawstron, Andy C.;Orfao, Alberto;Johnsen, Hans E.
通讯作者:
Johnsen, Hans E.