Haematologica, Vol 94, Issue 11, 1599-1602 doi:10.3324/haematol.2009.009100
Copyright © 2009 by Ferrata Storti Foundation
Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients
Bruno Paiva,
Maria-Belén Vidriales,
Jose J. Pérez,
Gema Mateo,
Maria Angeles Montalbán,
Maria Victoria Mateos,
Joan Bladé,
Juan José Lahuerta,
Alberto Orfao,
Jesús F. San Miguel
On behalf of the GEM (Grupo Español de MM)/PETHEMA (Programa para el Estudio de la Terapéutica en Hemopatías Malignas) cooperative study groups
Correspondence: Jesús F. San-Miguel, Hospital Universitario de Salamanca, Paseo de San Vicente 58-182, 37007 Salamanca, Spain. E-mail:sanmigiz{at}usal.es

ABSTRACT
Quantification of bone marrow plasma cells in multiple myeloma
patients using conventional morphology is of limited prognostic
value, while the merit of multiparameter flow cytometry immunophenotyping
is still considered unproven. Here we compare the bone marrow
plasma cell counts obtained by morphology and multiparameter
flow cytometry and explore the potential prognostic impact of
both techniques in 765 newly diagnosed, uniformly treated multiple
myeloma patients. Although multiparameter flow cytometry generally
yields lower plasma cell counts (median percentage of 11%
vs.
40%, respectively;
p<0.001), there is a significant positive
correlation between the two techniques (R =0.46,
p<0.001).
Regarding prognosis, multivariate analysis selected the bone
marrow plasma cell counts obtained by multiparameter flow cytometry
as an independent prognostic factor for overall survival (
p=0.007),
supporting the incorporation of multiparameter flow cytometry
immunophenotyping into the routine diagnostic evaluation of
multiple myeloma patients and validating the clinical utility
of bone marrow plasma cell counting by multiparameter flow cytometry
approaches.
(clinicaltrials.gov identifier: NCT00560053).
Key words: multiple myeloma, immunophenotyping, conventional morphology, multiparameter flow cytometry quantification.

Introduction
Quantification of bone marrow (BM) plasma cells (PCs) by conventional
morphology (CM) is a mandatory test for the diagnosis and response
assessment in multiple myeloma (MM).
1 However, the degree of
BM infiltration by CM may vary significantly not only among
but also within patients. This has been attributed to the heterogeneous
pattern of BMPC infiltration in MM
2–4 and could help to
explain its inconsistency as a prognostic factor.
5–9 One
alternative would be to use multiparameter flow cytometry (MFC)
immunophenotyping to quantify BMPC, although this is currently
still limited to research studies and the differential diagnosis
of unusual cases.
4 The current study aimed to compare the BMPC
counts obtained by CM and MFC and to assess the prognostic value
of both techniques in a large series of uniformly treated MM
patients.

Design and Methods
A total of 765 newly diagnosed MM patients were included in
this study. Written consent was obtained from all patients.
Baseline demographics and disease characteristics are shown
in
Table 1. At the time of concluding this study, 495 patients
(65%) had relapsed/progressed and 306 (40%) had died. The median
follow-up was 51 months. All 765 patients were uniformly treated
according to the GEM2000 protocol (six alternating cycles of
VBCMP/VBAD followed by high-dose therapy supported by autologous
stem-cell transplantation (ASCT)). Median progression-free survival
(PFS) and overall survival (OS) were 40 and 73 months, respectively.
BM
first-pull aspirate samples were used for morphological assessment,
with May-Grümwald-Giemsa staining. Morphology PC counts
were obtained from a 200-cell differential count, using conventional
bright-field microscopy.
Immunophenotypic studies were performed on erythrocyte-lysed BM aspirate samples, according to previously described methods,10–12 using a four-color direct immunofluorescence technique (FITC/PE/PerCP-Cy5.5/APC: CD38/CD56/CD19/CD45, CD138/CD28/CD33/CD38 and CD20/CD117/CD138/CD38) aimed at identifying, quantifying and characterizing PC. MFC data were acquired in a FACSCaliburTM flow cytometer (BD Biosciences [BDB], San Jose, CA, USA) using the CellQUEST software (BDB), with a double-step acquisition procedure for selected cases. In the first step, 2x04 cells from the whole BM cellularity were measured. If the number of PCs acquired was <3x03, a second acquisition step was performed using a broad live-gate drawn to select and measure a total of 3x03 CD38hi events showing low-intermediate SSC events. The Paint-AGate PRO program (BDB) was used for data analysis, following recommendations of the European Myeloma Network.4 Plasma cell enumeration was performed using the CD38/CD138/SSC and the CD38/SSC strategies, both of which gave similar results. The overall number of nucleated BM cells was used as the denominator to calculate the overall percentage of BMPCs. All cases included in the study showed erythroid nucleated cells evaluated in the BM aspirate by MFC. The sample may therefore be considered representative of the BM.
Statistical analyses included one-tailed Students independent sample t-tests and Pearson correlations, calculated with SPSS (version 15.0; SPSS Inc., Chicago, IL, USA), as previously described.10,13–15 Survival curves were plotted according to the Kaplan-Meier method, differences being assessed by the log-rank test. The Cox regression proportional hazard model (stepwise regression) was used in a multivariate analysis of PFS and OS, retaining those variables with a statistically significant predictive value (p<0.05) in the predictive model.

Results and Discussion
Differences in bone marrow plasma cell counts between conventional morphology and multiparameter flow cytometry
As expected, the median percentage of BMPC measured by CM (40%;
range: 5–100%) was significantly higher (
p<0.001) than
that obtained by MFC (11%; range: 0.5–95%), confirming
previous results in smaller series of patients.
2,4,16 Greater
infiltration by CM was detected in the majority of patients
(93%, n=709), with equal PC levels in 3% of cases (n=27). The
PC count obtained by MFC was greater than that with CM in only
29 patients (4%). Despite these differences, the PC counts with
the two techniques were significantly correlated (R
2=0.46; regression
coefficient=0.28,
p <0.001; intercept=3.79;
Figure 1). The
fewer PCs detected by MFC could be explained by the different
quality of BM samples used for the two techniques, whereby there
was greater peripheral blood contamination in the MFC samples,
and by the existence of small PC clusters (microaggregates)
in the BM.
17 In this sense, Rawstron
et al.
4 found a significantly
lower percentage of PCs detected by MFC than by CM performed
on first-pull BM aspirates, but similar values when the CM was
performed on cytocentrifuged samples.
4 Also, samples evaluated
by CM contain cells associated with lipid-enriched spicules,
whereas MFC is performed on the BM fluid, which is depleted
in the lipid-adhesive PC.
2 In fact, morphological quantification
of BMPC may focus on those microaggregates where PCs are abundant,
rather than from a randomly chosen field.
Prognostic impact of bone marrow plasma cell aspirate counts on progression-free survival and overall survival
PC counts assessed by CM and MFC distinguish between groups
of patients with different prognosis, with optimal cut-off values
of 30% and 15% BMPC for CM and MFC, respectively. Thus, patients
with less than 30% BMPC at diagnosis, detected by CM, had significantly
longer PFS (median of 48
vs. 37 months;
p<0.001;
Figure 2A)
and OS (median of 97
vs. 61 months;
p<0.001;
Figure 2B) than
patients with or more than 30% BMPC: PFS and OS rates at 5 years
of 40%
vs. 25% (
p<0.001) and 65%
vs. 50% (
p<0.001), respectively.
Regarding MFC, patients with less than 15% BMPC had significantly
longer PFS (median 43
vs. 36 months;
p=0.003;
Figure 2C) and
OS (median 97
vs. 54 months;
p<0.001;
Figure 2D) than cases
with or more than 15% BMPC: PFS and OS at 5 years of 37%
vs. 21% (
p=0.003), and 68%
vs. 53% (
p<0.001), respectively. Other
baseline variables of significance in the univariate analyses
of survival were: age (>60 years;
p
0.02), low hemoglobin
(

100 g/L;
p<0.001), high serum levels of calcium (>10mg/dL;
p(

0.004) and creatinine (>2 mg/dL;
p<0.001), advanced
disease (ISS Stage III;
p<0.001), high percentage of PC in
S-phase (>0.5%;
p(

0.01) and high-risk cytogenetics (t(4;14),
t(14;16), and/or del (17p);
p<0.001). In the multivariate
analysis, only high-risk cytogenetics was selected as an independent
prognostic factor for both PFS and OS (Hazard ratio, HR: 2.7;
p<0.001 and HR: 2.6;
p<0.001, respectively), while for
OS, patient age (HR: 1.6;
p=0.03) and the percentage of PC detected
by MFC at diagnosis (HR: 2.3;
p=0.006) were also selected. Our
results confirm previous reports in which the BMPC infiltration
measured by CM did not maintain its independent prognostic value,
irrespective of the cut-off value applied.
5,6,8,9
We further investigated if different phenotypic characteristics
could be detected according to the percentage of BMPC detected
by MFC at diagnosis. We found that within the group with less
than 15% BMPC there was a greater incidence of cases with the
good prognosis phenotypic pattern (CD28-negative, CD117-positive)
10 than for those with or more than 15% BMPC group (25% and 15%,
respectively;
p=0.004). Finally, we also investigated whether
MFC remission (minimal residual disease negative) rates assessed
at day 100 after ASCT was different in these two cohorts of
patients. We found that cases with less than 15% PC by MFC at
diagnosis more frequently reached immunophenotypical remission
(46% of these cases became MRD-negative after autologous transplantation)
compared with cases with more than 15% of BMPC at diagnosis
(only 30% of these cases became MRD-negative) (
p=0.02).
In summary, our results show in a very large series of uniformly treated myeloma patients that MFC immunophenotyping is a valid method for evaluating the PC burden in the BM of symptomatic MM patients at diagnosis, with a significant correlation with CM. More importantly, it is of independent prognostic value for predicting patient survival. Taken together, these results support the incorporation of MFC immunophenotyping into the routine evaluation of all MM patients at diagnosis.

Footnotes
Authorship and Disclosures
BP and MBV equally contributed to this work. JFSM, JJL and AO conceived the idea, and together with MBV designed the study protocol; BP, MBV, GM, JJP, and MAM analyzed the flow cytometry data; MVM, JJL, JB, together with all Pethema/GEM members contributed with provision of study material or patients; BP, MBV, and GM collected and assembled data; BP, MBV, and JFSM analyzed and interpreted data; BP, and MBV performed statistical analysis; and BP, MBV, and JFSM wrote the manuscript. All authors reviewed and approved the manuscript.
The authors reported no potential conflicts of interest.
Funding: this work was supported by the Cooperative Research Thematic Network (RTICs; RD06/0020/0006), Jevitt Corporation, and Instituto de Salud Carlos III/Subdirección General de Investigación Sanitaria (FIS: PI060339;02/0905;01/0089/01-02; and PI060339).
Received for publication March 24, 2009.
Revision received May 25, 2009.
Accepted for publication May 27, 2009.

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