Advanced

Multiparametric Flow Cytometry Profiling of Neoplastic Plasma Cells in Multiple Myeloma

Johnsen, Hans E.; Bogsted, Martin; Klausen, Tobias W.; Gimsing, Peter; Schmitz, Alexander; Kjaersgaard, Erik; Damgaard, Tina; Voss, Pia; Knudsen, Lene M. and Mylin, Anne K., et al. (2010) In Cytometry Part B: Clinical Cytometry 78B(5). p.338-347
Abstract
Background and aim: The clinical impact of multiparametric flow cytometry (MFC) in multiple myeloma (MM) is still unclear and under evaluation. Further progress relies on multiparametric profiling of the neoplastic plasma cell (PC) compartment to provide an accurate image of the stage of differentiation. The primary aim of this study was to perform global analysis of CD expression on the PC compartment and subsequently to evaluate the prognostic impact. Secondary aims were to study the diagnostic and predictive impact. Design and methods: The design included a retrospective analysis of MFC data generated from diagnostic bone marrow (BM) samples of 109 Nordic patients included in clinical trials within NMSG. Whole marrow were analyzed by... (More)
Background and aim: The clinical impact of multiparametric flow cytometry (MFC) in multiple myeloma (MM) is still unclear and under evaluation. Further progress relies on multiparametric profiling of the neoplastic plasma cell (PC) compartment to provide an accurate image of the stage of differentiation. The primary aim of this study was to perform global analysis of CD expression on the PC compartment and subsequently to evaluate the prognostic impact. Secondary aims were to study the diagnostic and predictive impact. Design and methods: The design included a retrospective analysis of MFC data generated from diagnostic bone marrow (BM) samples of 109 Nordic patients included in clinical trials within NMSG. Whole marrow were analyzed by MFC for identification of end-stage CD45(-)/CD38(++) neoplastic PC and registered the relative numbers of events and mean fluorescence intensity (MFI) staining for CD19, CD20, CD27, CD28, CD38, CD44, CD45, CD56, and isotypes for cluster analysis. Results: The median MFC-PC number was 15%, and the median light microscopy (LM)-PC number was 35%. However, the numbers were significant correlated and the prognostic value with an increased relative risk (95% Cl) of 3.1 (1.7-5.5) and 2.9 (1.4-6.2), P < 0.0003 and P < 0.004 of MFC-PC and LM-PC counts, respectively. Unsupervised clustering based on global MFI assessment on PC revealed two clusters based on CD expression profiling. Cluster I with high intensity for CD56, CD38, CD45, right-angle light-scatter signal (SSC), forward-angle light-scatter signal (FSC), and low for CD28, CD19, and a Cluster II, with low intensity of CD56, CD38, CD45, SSC, FSC, and high for CD28, CD19 with a median survival of 39 months and 19 months, respectively (P = 0.02). Conclusions: The MFC analysis of MM BM samples produces diagnostic, prognostic, and predictive information useful in clinical practice, which will be prospectively validated within the European Myeloma Network (EMN). (C) 2010 International Clinical Cytometry Society (Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
flow cytometry profiling, multiple myeloma, diagnosis
in
Cytometry Part B: Clinical Cytometry
volume
78B
issue
5
pages
338 - 347
publisher
John Wiley & Sons
external identifiers
  • wos:000281590400006
  • scopus:77956572458
ISSN
1552-4949
DOI
10.1002/cyto.b.20523
language
English
LU publication?
yes
id
b641159b-d49d-4480-b0fc-c7800402b766 (old id 1697802)
date added to LUP
2010-10-22 14:52:52
date last changed
2018-05-29 09:26:16
@article{b641159b-d49d-4480-b0fc-c7800402b766,
  abstract     = {Background and aim: The clinical impact of multiparametric flow cytometry (MFC) in multiple myeloma (MM) is still unclear and under evaluation. Further progress relies on multiparametric profiling of the neoplastic plasma cell (PC) compartment to provide an accurate image of the stage of differentiation. The primary aim of this study was to perform global analysis of CD expression on the PC compartment and subsequently to evaluate the prognostic impact. Secondary aims were to study the diagnostic and predictive impact. Design and methods: The design included a retrospective analysis of MFC data generated from diagnostic bone marrow (BM) samples of 109 Nordic patients included in clinical trials within NMSG. Whole marrow were analyzed by MFC for identification of end-stage CD45(-)/CD38(++) neoplastic PC and registered the relative numbers of events and mean fluorescence intensity (MFI) staining for CD19, CD20, CD27, CD28, CD38, CD44, CD45, CD56, and isotypes for cluster analysis. Results: The median MFC-PC number was 15%, and the median light microscopy (LM)-PC number was 35%. However, the numbers were significant correlated and the prognostic value with an increased relative risk (95% Cl) of 3.1 (1.7-5.5) and 2.9 (1.4-6.2), P &lt; 0.0003 and P &lt; 0.004 of MFC-PC and LM-PC counts, respectively. Unsupervised clustering based on global MFI assessment on PC revealed two clusters based on CD expression profiling. Cluster I with high intensity for CD56, CD38, CD45, right-angle light-scatter signal (SSC), forward-angle light-scatter signal (FSC), and low for CD28, CD19, and a Cluster II, with low intensity of CD56, CD38, CD45, SSC, FSC, and high for CD28, CD19 with a median survival of 39 months and 19 months, respectively (P = 0.02). Conclusions: The MFC analysis of MM BM samples produces diagnostic, prognostic, and predictive information useful in clinical practice, which will be prospectively validated within the European Myeloma Network (EMN). (C) 2010 International Clinical Cytometry Society},
  author       = {Johnsen, Hans E. and Bogsted, Martin and Klausen, Tobias W. and Gimsing, Peter and Schmitz, Alexander and Kjaersgaard, Erik and Damgaard, Tina and Voss, Pia and Knudsen, Lene M. and Mylin, Anne K. and Nielsen, Johan Lanng and Bjorkstrand, Bo and Gruber, Astrid and Lenhoff, Stig and Remes, Kari and Dahl, Inger Marie and Fogd, Kirsten and Dybkaer, Karen},
  issn         = {1552-4949},
  keyword      = {flow cytometry profiling,multiple myeloma,diagnosis},
  language     = {eng},
  number       = {5},
  pages        = {338--347},
  publisher    = {John Wiley & Sons},
  series       = {Cytometry Part B: Clinical Cytometry},
  title        = {Multiparametric Flow Cytometry Profiling of Neoplastic Plasma Cells in Multiple Myeloma},
  url          = {http://dx.doi.org/10.1002/cyto.b.20523},
  volume       = {78B},
  year         = {2010},
}