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CLINICAL OBSERVATIONS, INTERVENTIONS, AND THERAPEUTIC TRIALS
From the Service d'Hématologie and Laboratoire
de Génétique Médicale, Lille, France; Service
d'Hématologie and Laboratoire d'Hématologie, Nantes,
France; Laboratoire d'Hématologie, Angers, France; and Equipe
Biostatistiques/Biomathématiques, Université Paris VII,
Paris, France.
A careful prognostic evaluation of patients referred for high-dose
therapy (HDT) is warranted to identify those who maximally benefit from
HDT as well as those who clearly fail current HDT and are candidates
for more innovative treatments. In a series of 110 patients with
myeloma who received HDT as first-line therapy, times to event (disease
progression and death) were studied through proportional hazard models,
in relation to different prognostic factors, including a chromosome 13 fluorescence in situ hybridization (FISH) analysis using a D13S319
probe. Currently, an increasing number of patients with
myeloma are referred for high-dose therapy (HDT), usually 1 or 2 courses of HDT with an autologous peripheral blood stem cell (PBSC)
support.1 A careful prognostic evaluation of these
patients is warranted to identify patients who maximally benefit from
HDT as well as those who fail current HDT and are candidates for more
innovative treatments. Up to now the best single and routinely
performed prognostic factor remains serum Patients
Cytogenetic studies
For the 44 patients with purified plasma cells from fresh bone marrow,
the cells were fixed, after thawing, in methanol/acetic acid (3:1, v/v)
for 30 minutes and air dried. After hybridization with the D13S319
probe and wash, cells were counterstained with DAPI in antifade, and
examined using an epifluorescence microscope (Axioplan 2, Zeiss, Iena,
Germany) equipped with a charged couple device camera and appropriate
filters. According to previous studies, For the 66 patients with unselected cells, but with frozen cytospin slides, we used the D13S319-specific probe in a FISH method corresponding to interphase FISH coupled to immunologic revelation of the plasma cells. Briefly, after fixation in methanol/acetic acid (v/v), slides were incubated with fluorescein isothiocyanate (FITC)-labeled polyclonal antihuman light chains (final dilution, 1:100), as previously described.19 Afterward, the probe was layered on the slides (overnight hybridization). After washes, slides were counterstained with DAPI and were examined under a fluorescence microscope (DMRXA Leica, Wetzlar, Germany) using specific filters. Bone marrow samples from 8 healthy donors (bone marrow donors) were used as controls and were studied in the same conditions as those applied for the multiple myeloma patients (with the exception of immunostaining). The number of cells demonstrating one spot never exceeded 8% and, using mean plus 2 SDs, monosomy was ascertained when over 15% cells exhibited one red signal. However, in this study, all patients had at least 30% plasma cells with one red signal. Statistical analysis The following initial parameters were examined for their prognostic value on survival and progression: age, sex, stage (Durie and Salmon), substage, bone marrow plasmacytosis, M-component isotype, type of light chain, creatinine, 2m, lactate
dehydrogenase (LDH), C-reactive protein (CRP), hemoglobin, leukocytes,
platelets, calcium, albumin serum level, CC, and 13 FISH analysis.
The distributions of each variable were compared between patients with
13 and those without through chi-square method or Wilcoxon
test.20 Curves for progression-free survival (PFS),
proportion of patients still in remission, survival after progression,
and overall survival (OS) were calculated from diagnosis as time to
event (death without progression or progression, progression, death
after progression, death, respectively) using the Kaplan-Meier
method21 and compared using the log-rank
test.22 The estimate of the relative risk (RR) of event
and its 95% confidence interval (95% CI) were estimated through the
proportional hazard model.23 In these prognostic analyses,
continuous variables were categorized in the following way. Each
variable was first divided into 3 categories at approximately the 33rd
and 67th percentiles. If the relative event rates24 (observed number of events divided by the expected number of events in
a category, assuming no variation of event rate across categories) and
the median times to event in 2 adjacent categories were not substantially different, these categories were grouped
together.25 If no clear patterns were observed, the median
and usual limits (as 2.5, 3, 4, and 6 mg/L for 2m) were
taken as cut points. As a consequence, 2 to 3 categories were used for
each continuous variable. Then, the ability of each parameter to
increase predictive ability of the 2m in overall
survival was tested through backward stepwise proportional hazard
model23 including as prognostic factors 2m,
the other tested parameter, and their interaction. Quality of the
subsequent statistically significant models were classified according
to the decrease in 2 log (likelihood) when compared to the model with
no covariates, a decrease which is approximately distributed as a
chi-square in which degrees of freedom correspond to the number of
factors present in the model,26 the greater corresponding
to the best fit for a fixed number of degrees of freedom. The same
procedure was used to improve the prediction of the model including
2m and 13. No further improvements were looked for
according to the number of deaths in our sample. The best prognostic
models derived with 2 or 3 parameters were simplified by using the same
procedure as the one described for univariate analysis leading to final
models with 3 or 4 categories, only according to the number of
unfavorable factors. The comparison of these final models with
previously published models was performed by using Kaplan-Meier
estimates of survival curves and quantified through the decrease in 2
log (likelihood), calculated on the same sample as explained above. All
analyses were performed with SPSS software.27
After a median follow-up time of 48 ± 3 months among surviving
patients, 79 progressions and 53 deaths, all after progression except
one, were observed. The median PFS time, time to progression, survival
after progression, and OS time for the whole series were 25 ± 2,
25 ± 2, 12 ± 3, and 51 ± 7 months, respectively. Response to
treatment was no response (< 20% decrease of the M-component) in 22 patients (20%), minor response (20%-49% decrease of the M-component)
in 10 patients (9%), partial response (50%-90% decrease of the
M-component) in 22 patients (20%), very good partial response (> 90% decrease of the M-component) in 33 patients (30%), and complete response (absence of the paraprotein on immunofixation and
A significant positive association was found between In the univariate analysis, the parameters significantly affecting PFS,
survival after progression, and OS are presented in Table
2.
In the multivariate analysis the comparison of OS prognostic models
including
Although inferior to the
This study emphasizes the pejorative role of FISH Chromosome 13 abnormalities were analyzed using a commercial probe mapping at 13q14, containing the D13S319 locus. This locus appears to be included in the most frequently deleted region as defined in the recent study of Shaughnessy and coworkers.29 Nevertheless, there is now evidence that marginal differences may occur with the use of different probes. In future studies it would probably be of interest to use more than one probe and carefully study, in a large group of patients, the clinical outcome with respect to different sites of deletion. Recently Barlogie and colleagues have recognized In our hands, the presence of In this study the multivariate analysis for OS prognosis was performed
with the use at the first step of Concerning the main end-point, OS, besides the effect of
We conclude that
We would like to thank Colette Geneix, Jacqueline Regnault, and Myriam Cambié for their excellent technical assistance.
Submitted December 14, 1999; accepted October 27, 2000.
Supported in part by the Foundation contre la Leucémie, the Comité Départemental de Loire-Atlantique de la Ligue contre le Cancer, and the CHRU Lille.
The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked "advertisement" in accordance with 18 U.S.C. section 1734.
Reprints: Thierry Facon, Service des Maladies du Sang, Hôpital Claude Huriez, 59037 Lille Cédex, France; e-mail: t-facon{at}chru-lille.fr.
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L. Laterveer, L. F. Verdonck, T. Peeters, E. Borst, A. C. Bloem, and H. M. Lokhorst Graft versus myeloma may overcome the unfavorable effect of deletion of chromosome 13 in multiple myeloma Blood, February 1, 2003; 101(3): 1201 - 1201. [Full Text] [PDF] |
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G Pratt Molecular aspects of multiple myeloma Mol. Pathol., October 1, 2002; 55(5): 273 - 283. [Abstract] [Full Text] [PDF] |
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P. Moreau, T. Facon, X. Leleu, N. Morineau, P. Huyghe, J.-L. Harousseau, R. Bataille, and H. Avet-Loiseau Recurrent 14q32 translocations determine the prognosis of multiple myeloma, especially in patients receiving intensive chemotherapy Blood, August 13, 2002; 100(5): 1579 - 1583. [Abstract] [Full Text] [PDF] |
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D. Leroux, F. Mugneret, M. Callanan, I. Radford-Weiss, N. Dastugue, J. Feuillard, F. Le Mee, G. Plessis, P. Talmant, N. Gachard, et al. CD4+, CD56+ DC2 acute leukemia is characterized by recurrent clonal chromosomal changes affecting 6 major targets: a study of 21 cases by the Groupe Francais de Cytogenetique Hematologique Blood, May 13, 2002; 99(11): 4154 - 4159. [Abstract] [Full Text] [PDF] |
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H. Avet-Loiseau, T. Facon, B. Grosbois, F. Magrangeas, M.-J. Rapp, J.-L. Harousseau, S. Minvielle, and R. Bataille Oncogenesis of multiple myeloma: 14q32 and 13q chromosomal abnormalities are not randomly distributed, but correlate with natural history, immunological features, and clinical presentation Blood, March 15, 2002; 99(6): 2185 - 2191. [Abstract] [Full Text] [PDF] |
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F. Zhan, J. Hardin, B. Kordsmeier, K. Bumm, M. Zheng, E. Tian, R. Sanderson, Y. Yang, C. Wilson, M. Zangari, et al. Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells Blood, March 1, 2002; 99(5): 1745 - 1757. [Abstract] [Full Text] [PDF] |
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R. Fonseca, D. Harrington, M. M. Oken, G. W. Dewald, R. J. Bailey, S. A. Van Wier, K. J. Henderson, E. A. Blood, S. V. Rajkumar, N. E. Kay, et al. Biological and Prognostic Significance of Interphase Fluorescence in Situ Hybridization Detection of Chromosome 13 Abnormalities ({Delta}13) in Multiple Myeloma: An Eastern Cooperative Oncology Group Study Cancer Res., February 1, 2002; 62(3): 715 - 720. [Abstract] [Full Text] [PDF] |
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K. C. Anderson, J. D. Shaughnessy Jr., B. Barlogie, J.-L. Harousseau, and G. D. Roodman Multiple Myeloma Hematology, January 1, 2002; 2002(1): 214 - 240. [Abstract] [Full Text] |
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H. Avet-Loiseau, F. Gerson, F. Magrangeas, S. Minvielle, J.-L. Harousseau, and R. Bataille Rearrangements of the c-myc oncogene are present in 15% of primary human multiple myeloma tumors Blood, November 15, 2001; 98(10): 3082 - 3086. [Abstract] [Full Text] [PDF] |
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B. G. M. Durie Multiple Myeloma: What's New CA Cancer J Clin, September 1, 2001; 51(5): 271 - 272. [Full Text] [PDF] |
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W. S. Dalton, P. L. Bergsagel, W. M. Kuehl, K. C. Anderson, and J. L. Harousseau Multiple Myeloma Hematology, January 1, 2001; 2001(1): 157 - 177. [Abstract] [Full Text] [PDF] |
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