Outcome prediction in plasmacytoma of bone: a risk model utilizing bone marrow flow cytometry and light-chain analysis

The purpose of this study was to use multiparameter flow cytometry to detect occult marrow disease (OMD) in patients with solitary plasmacytoma of bone and assess its value in predicting outcome. Aberrant phenotype plasma cells were demonstrable in 34 of 50 (68%) patients and comprised a median of 0...

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Veröffentlicht in:Blood 2014-08, Vol.124 (8), p.1296-1299
Hauptverfasser: Hill, Quentin A., Rawstron, Andy C., de Tute, Ruth M., Owen, Roger G.
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container_title Blood
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creator Hill, Quentin A.
Rawstron, Andy C.
de Tute, Ruth M.
Owen, Roger G.
description The purpose of this study was to use multiparameter flow cytometry to detect occult marrow disease (OMD) in patients with solitary plasmacytoma of bone and assess its value in predicting outcome. Aberrant phenotype plasma cells were demonstrable in 34 of 50 (68%) patients and comprised a median of 0.52% of bone marrow leukocytes. With a median follow-up of 3.7 years, 28 of 50 patients have progressed with a median time to progression (TTP) of 18 months. Progression was documented in 72% of patients with OMD vs 12.5% without (median TTP, 26 months vs not reached; P = .003). Monoclonal urinary light chains (ULC) were similarly predictive of outcome because progression was documented in 91% vs 44% without (median TTP, 16 vs 82 months; P < .001). By using both parameters, it was possible to define patients with an excellent outcome (lacking both OMD and ULC, 7.7% progression) and high-risk patients (OMD and/or ULC, 75% progression; P = .001). Trials of systemic therapy are warranted in high-risk patients. •Occult marrow disease is demonstrable in 68% of patients with solitary plasmacytoma of bone and is predictive of progression.•Trials of adjuvant systemic therapy are warranted in high-risk patients.
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source MEDLINE; Alma/SFX Local Collection; EZB Electronic Journals Library
subjects Aged
Bone Marrow Cells - metabolism
Bone Marrow Cells - pathology
Bone Neoplasms - mortality
Bone Neoplasms - pathology
Bone Neoplasms - therapy
Bone Neoplasms - urine
Disease-Free Survival
Female
Flow Cytometry
Follow-Up Studies
Humans
Immunoglobulin Light Chains - urine
Male
Middle Aged
Models, Biological
Plasmacytoma - mortality
Plasmacytoma - pathology
Plasmacytoma - therapy
Plasmacytoma - urine
Retrospective Studies
Risk Factors
Survival Rate
title Outcome prediction in plasmacytoma of bone: a risk model utilizing bone marrow flow cytometry and light-chain analysis
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