Clinical value of measurable residual disease testing for assessing depth, duration, and direction of response in multiple myeloma.


Journal

Blood advances
ISSN: 2473-9537
Titre abrégé: Blood Adv
Pays: United States
ID NLM: 101698425

Informations de publication

Date de publication:
28 07 2020
Historique:
received: 13 04 2020
accepted: 12 06 2020
entrez: 25 7 2020
pubmed: 25 7 2020
medline: 15 5 2021
Statut: ppublish

Résumé

Few clinical studies have reported results of measurable residual disease (MRD) assessments performed as part of routine practice. Herein we present our single-institution experience assessing MRD in 234 multiple myeloma (MM) patients (newly diagnosed [NDMM = 159] and relapsed [RRMM = 75]). We describe the impact of depth, duration, and direction of response on prognosis. MRD assessments were performed by next-generation sequencing of immunoglobulin genes with a sensitivity of 10-6. Those achieving MRD negativity at 10-6, as well as 10-5, had superior median progression-free survival (PFS). In the NDMM cohort, 40% of the patients achieved MRD negativity at 10-6 and 59% at 10-5. Median PFS in the NDMM cohort was superior in those achieving MRD at 10-5 vs <10-5 (PFS: 87 months vs 32 months; P < .001). In the RRMM cohort, 36% achieved MRD negativity at 10-6 and 47% at 10-5. Median PFS was superior for the RRMM achieving MRD at 10-5 vs <10-5 (PFS: 42 months vs 17 months; P < .01). Serial MRD monitoring identified 3 categories of NDMM patients: (A) patients with ≥3 MRD 10-6 negative samples, (B) patients with detectable but continuously declining clonal numbers, and (C) patients with stable or increasing clonal number (≥1 log). PFS was superior in groups A and B vs C (median PFS not reached [NR], NR, 55 respectively; P < .001). This retrospective evaluation of MRD used as part of clinical care validates MRD as an important prognostic marker in NDMM and RRMM and supports its use as an endpoint in future clinical trials as well as for clinical decision making.

Identifiants

pubmed: 32706892
pii: S2473-9529(20)31553-6
doi: 10.1182/bloodadvances.2020002037
pmc: PMC7391154
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3295-3301

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2020 by The American Society of Hematology.

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Auteurs

Joaquin Martinez-Lopez (J)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Hospital Universitario 12 de Octubre, Complutense University, Centro Nacional de Investigaciones Oncológicas, Centro de Investigación Biomédica en Red en Oncología, Madrid, Spain; and.

Sandy W Wong (SW)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

Nina Shah (N)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

Natasha Bahri (N)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

Kaili Zhou (K)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

Ying Sheng (Y)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.

Chiung-Yu Huang (CY)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.

Thomas Martin (T)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

Jeffrey Wolf (J)

Division of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.

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Classifications MeSH