Increased Bone Marrow Plasma-Cell Percentage Predicts Outcomes in Newly Diagnosed Multiple Myeloma Patients.


Journal

Clinical lymphoma, myeloma & leukemia
ISSN: 2152-2669
Titre abrégé: Clin Lymphoma Myeloma Leuk
Pays: United States
ID NLM: 101525386

Informations de publication

Date de publication:
09 2020
Historique:
received: 26 02 2020
revised: 22 03 2020
accepted: 26 03 2020
pubmed: 4 5 2020
medline: 8 9 2021
entrez: 4 5 2020
Statut: ppublish

Résumé

Previous reports have suggested that a higher bone marrow plasma-cell percentage (BMPC%) is associated with worse outcomes. However, it is unknown whether BMPC% is an independent predictor because genetic information was not available at that time. Currently the impact of BMPC% at diagnosis of multiple myeloma (MM) is not well described. We evaluated the prognostic impact of BMPC% ≥ 60% versus < 60% in 1426 newly diagnosed MM patients. All patients had an estimation of their BMPC% at diagnosis, and the highest percentage was used. Progression-free survival (PFS) and overall survival (OS) analyses were performed by the Kaplan-Meier method. Univariate and multivariate analyses for PFS and OS using the Cox proportional hazards model were performed for age, Revised International Staging System (R-ISS) score, creatinine level, and BMPC%. BMPC% ≥ 60% was found in 562 patients (39%), and the median PFS was shorter for these patients compared to BMPC% < 60% (22.6 vs. 32.1 months; P < .0001). Also, for OS, the median was shorter for the higher BMPC% group (53.4 vs. 75.4 months; P < .0001). On the multivariate analysis for PFS, age ≥ 65 years (hazard ratio [HR], 1.46; P < .0001), R-ISS (1-2 vs. 3) (HR, 0.49; P < .0001), and BMPC% ≥ 60% (HR, 1.23; P = .015) were predictive. On the multivariate analysis for OS, age ≥ 65 years (HR, 2.23; P < .001), R-ISS (1-2 vs. 3) (HR, 0.41; P < .0001), and BMPC% ≥ 60% (HR, 1.24; P = .02) were also predictive. BMPC% ≥ 60% at diagnosis is predictive for PFS and OS, even in a multivariate analysis that included known prognostic factors for MM.

Sections du résumé

BACKGROUND
Previous reports have suggested that a higher bone marrow plasma-cell percentage (BMPC%) is associated with worse outcomes. However, it is unknown whether BMPC% is an independent predictor because genetic information was not available at that time. Currently the impact of BMPC% at diagnosis of multiple myeloma (MM) is not well described.
PATIENTS AND METHODS
We evaluated the prognostic impact of BMPC% ≥ 60% versus < 60% in 1426 newly diagnosed MM patients. All patients had an estimation of their BMPC% at diagnosis, and the highest percentage was used. Progression-free survival (PFS) and overall survival (OS) analyses were performed by the Kaplan-Meier method. Univariate and multivariate analyses for PFS and OS using the Cox proportional hazards model were performed for age, Revised International Staging System (R-ISS) score, creatinine level, and BMPC%.
RESULTS
BMPC% ≥ 60% was found in 562 patients (39%), and the median PFS was shorter for these patients compared to BMPC% < 60% (22.6 vs. 32.1 months; P < .0001). Also, for OS, the median was shorter for the higher BMPC% group (53.4 vs. 75.4 months; P < .0001). On the multivariate analysis for PFS, age ≥ 65 years (hazard ratio [HR], 1.46; P < .0001), R-ISS (1-2 vs. 3) (HR, 0.49; P < .0001), and BMPC% ≥ 60% (HR, 1.23; P = .015) were predictive. On the multivariate analysis for OS, age ≥ 65 years (HR, 2.23; P < .001), R-ISS (1-2 vs. 3) (HR, 0.41; P < .0001), and BMPC% ≥ 60% (HR, 1.24; P = .02) were also predictive.
CONCLUSION
BMPC% ≥ 60% at diagnosis is predictive for PFS and OS, even in a multivariate analysis that included known prognostic factors for MM.

Identifiants

pubmed: 32360276
pii: S2152-2650(20)30161-0
doi: 10.1016/j.clml.2020.03.012
pmc: PMC7484262
mid: NIHMS1607580
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

596-601

Subventions

Organisme : NCI NIH HHS
ID : P50 CA186781
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Abdullah S Al Saleh (AS)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN; Department of Oncology, Division of Hematology, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Harsh V Parmar (HV)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Alissa Visram (A)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Eli Muchtar (E)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Francis K Buadi (FK)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Ronald S Go (RS)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Angela Dispenzieri (A)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Prashant Kapoor (P)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Rahma Warsame (R)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Martha Q Lacy (MQ)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

David Dingli (D)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Nelson Leung (N)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN; Division of Nephrology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Wilson I Gonsalves (WI)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Taxiarchis V Kourelis (TV)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Morie A Gertz (MA)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Robert A Kyle (RA)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

S Vincent Rajkumar (SV)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN.

Shaji K Kumar (SK)

Division of Hematology, Department of Internal Medicine, Mayo Clinic Rochester, Rochester, MN. Electronic address: kumar.shaji@mayo.edu.

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Classifications MeSH