|
|
Prepublished online as a Blood First Edition Paper on May 8, 2003; DOI 10.1182/blood-2002-10-3264.
Previous Article | Table of Contents | Next Article 
Blood, 1 September 2003, Vol. 102, No. 5, pp. 1622-1625
CLINICAL OBSERVATIONS, INTERVENTIONS, AND THERAPEUTIC
TRIALS Brief report
Contribution of -2 microglobulin levels to the prognostic stratification of survival in patients with myelodysplastic syndrome (MDS)
Simona Gatto,
Greg Ball,
Francesco Onida,
Hagop M. Kantarjian,
Elihu H. Estey, and
Miloslav Beran
From the Department of Leukemia, University of Texas M. D. Anderson
Cancer Center, Houston; and the Center for Professional Excellence, The
Methodist Hospital, Houston, TX.
 |
Abstract
|
|---|
Prospective analysis of the importance of the plasma levels of -2
microglobulin (B2M) in 553 patients with myelodysplastic syndrome (MDS) found
that B2M is an independent prognostic variable for survival with weighted
significance second only to the karyotype. The incorporation of the B2M
covariate into risk assessment of MDS patients added significantly to the
power of the IPSS to stratify MDS patients into risk categories. Our results
further document that the 2 objectively measured covariates that display the
highest power to predict survival, that is, karyotype and B2M, can alone be
used for risk stratification. While the results must be verified in an
independent and comparable population, our data strongly recommend routine
measurement of B2M in patients with MDS.
 |
Introduction
|
|---|
The variable outcomes of myelodysplastic syndrome (MDS) have encouraged the
development of numerous algorithms to predict prognosis. The most commonly
used system is the International Prognostic Scoring System
(IPSS).1 Prognostic
heterogeneity still exists, particularly in patients with low or intermediate
risks. Here we report that levels of -2 microglobulin are a valuable
prognostic factor in MDS.
 |
Study design
|
|---|
Study group
From 1994 through mid-2001, 923 patients with MDS were referred to M. D.
Anderson Cancer Center, and levels of -2 microglobulin (B2M) were
measured prospectively in 660 patients (71.5%). Survival of 660 patients with
available B2M was similar to that of 263 patients lacking this information. Of
these 660 patients, 2 groups were excluded from subsequent analyses: (1) 50
patients with serum creatinine levels higher than 1.5 mg/dL, because impaired
renal function could elevate
B2M2; (2) 57
patients with chronic myelomonocytic leukemia (CMML) and white blood cell
(WBC) counts of more than 12 x 109/L (CMML, proliferative),
regardless of levels of B2M or serum creatinine, to comply with the IPSS,
which excluded these
patients.1 The
remaining 553 patients provided the database for this analysis. At the time of
referral, B2M and karyotype were recorded along with other hematologic,
biochemical, and clinical
covariates.3
Diagnosis was established using French-American-British (FAB)
criteria,4 and the
IPSS score was
computed.1 B2M was
measured in a similar proportion of patients in each FAB group (range,
65%-72%) and IPSS group (range, 74%-89%). Serum B2M was quantified by a
radioimmunoassay (Pharmacia 2 Micro Ria; Pharmacia Diagnostic, Uppsala,
Sweden). Median follow-up in the 288 patients remaining alive was 9 months
(range, 0-87 months). Patients provided written informed consent. The study
was approved by the University of Texas M. D. Anderson Institutional Review
Board and was conducted in accordance with the Declaration of Helsinki.
Treatment
After referral, patients received supportive care with or without
hematopoietic factors (n = 202), single-agent chemotherapy (n = 35),
immunosuppressive therapy (n = 33), single new investigational agents (n =
30), and intensive therapy (n = 271). Intensive chemotherapy regimens have
been described in
detail.5 For 21
patients, information about treatment was not available.
Statistical analyses
Univariate analysis of prognostic factors. Covariates,
analyzed for association with survival, are described in
Table 1. Karyotype was grouped
according to IPSS
criteria.1 For all
covariates measured on a numerical scale, we investigated the nature of their
association with survival by martingale residual plot
analysis.6 Survival
time was calculated from the time of referral. Time-to-event curves were
obtained using the Kaplan-Meier method and compared using the log-rank
test.
Multivariate analysis The Cox proportional hazards
regression model followed by backward selection was used to assess the ability
of covariates to independently predict survival. The predictive variables were
assigned weights, using the regression coefficients from the final Cox
proportional hazards model multiplied by 8 and rounded to the nearest whole
number. The ratios between the resulting numbers were used to produce risk
categories in analogy to the
IPSS.1 The scoring
system thus observed (modified IPSS) was compared with the IPSS and with a
model based on karyotype and B2M only.
 |
Results and discussion
|
|---|
Median survival of the 553 MDS patients was 15 months (95% confidence
interval [CI], 12.8-17.7 months). Some of their characteristics are summarized
in Table 1. Ninety-two patients
(17%) had refractory anemia (RA), 50 (9%) refractory anemia and ringed
sideroblasts (RARS), 176 (32%) refractory anemia with excess of blasts (RAEB),
184 (33%) refractory anemia with excess of blasts transformed (RAEBt), and 51
(9%) "nonproliferative" CMML. Only 11% had an IPSS classification
of "low," with the remaining patients approximately equally
divided between "intermediate-1," "intermediate-2,"
and "high" (Table
2, Figure 1C).

View larger version (23K):
[in this window]
[in a new window]
|
Figure 1.. Effect of B2M levels on survival. (A) Martingale residual plot
analysis of B2M. The line Y = 0 corresponds to the underlying hazard of death
before accounting for the effect of B2M. Deviations from this line indicate
the effect of B2M on this hazard. In particular, residuals of less than 0
correspond to better expected survival and residuals of more than 0 to worse
expected survival. These residuals are analogous to residuals estimated in
linear regression. (B) Survival of 553 MDS patients by B2M. (C) Survival of
patients according to their risk assignment by IPSS. (D) Survival by modified
IPSS. (E) Survival by combination of B2M and karyotype (Kaplan-Meier
curves).
|
|
The median B2M level was 2.6 mg/L (range, 0.8-10.2 mg/L). It differed
significantly neither among the FAB groups (RA, 2.5 mg/L; RARS, 2.6 mg/L;
RAEB, 2.6 mg/L; RAEBt, 2.7 mg/L; nonproliferative CMML, 2.9 mg/L) nor among
IPSS risk groups (low, 2.4 mg/L; intermediate-1, 2.7 mg/L; intermediate-2, 2.8
mg/L; high, 2.7 mg/L). The martingale residuals failed to identify an
association between serum creatinine levels and survival (data not shown), 1
mg/dL being the best value separating patients according to survival
(Table 1). The martingale
residual plot for B2M identified the optimal cutpoint as 2mg/L
(Figure 1A,
Table 1). Use of other
cutpoints could also stratify the population, but with lower discriminatory
power.3 These
findings led us to group patients according to dichotomous levels of B2M (
2 g/L vs > 2 g/L), which stratified all patients
(Figure 1B) and patients within
each IPSS category (Table 2)
and FAB category3
into subgroups with better or worse outcome, thus proving the independent
prognostic value of B2M as a new biologic feature in assessing survival. The
differences reached statistical significance in all but the intermediate-2
IPSS (Table 2), RA, and RAEBt
groups.3 Univariate
analysis identified cytogenetics, age, hemoglobin level, platelet count, bone
marrow (BM) blasts, intensive treatment, and B2M as significantly associated
with survival (Table 1).
Patients who received intensive treatment had significantly shorter
survivals than other patients (12.9 months vs 18.3 months;
Table 1), likely owing to
selection of patients with RAEB and RAEBt for intensive chemotherapy. This
association was lost in multivariate analysis. We failed to find an
association between intensive treatment and levels of B2M (P = .18).
The median value of B2M was 1.7 mg/L both in the subgroup receiving and in the
subgroup not receiving intensive treatment; high B2M was present in 70% of
patients who received intensive chemotherapy and in 73% of patients who did
not. Patients with high-level B2M had shorter survival than patients with low
B2M whether they received intensive treatment (11.2 months vs 18.8 months;
P < .01) or were managed more conservatively (13.4 months vs >
31.9 months; P < .01). Thus, high B2M affects survival negatively,
regardless of treatment.
Within karyotype categories, high B2M was associated with shorter survival
both in patients with good/intermediate karyotype
(Figure 1E) and in 159 patients
with poor cytogenetics (6.3 months [95% CI, 5.2,8.3] vs 10.0 months [95%CI,
7.4,16.5]; P = .01). Only 35 patients (22%) with poor cytogenetics
had low B2M levels.
Multivariate analysis confirmed that B2M added significant and new
prognostic information to that provided by IPSS. We next examined how B2M
might be incorporated into a modified IPSS (M-IPSS). The prognostic martingale
residual plot suggested that marrow blasts be considered as a binary variable
(< 5% vs 5%). The observation that pretreatment absolute neutrophil
count (ANC) was not prognostic (Table
1) prompted us to regard anemia and thrombocytopenia as one
category vs others rather as done in IPSS. With similar survival, IPSS
cytogenetic categories "good" and "intermediate" were
combined (Table 1). We then
considered the following for inclusion in the Cox model: poor vs
good/intermediate cytogenetics; B2M 2 mg/L or less vs more than 2 mg/L; BM
blasts less than 5% vs 5% or more; and anemia plus thrombocytopenia vs others.
In the resulting final model, karyotype was the best predictor of survival,
followed by B2M, cytopenias, and percentage of BM blasts
(Table 3). By combining risk
scores, we stratified patients into 3 risk categories (good, intermediate, and
poor; scores 0-6, 7-11, and 12-20, respectively;
Table 3). Within the subgroup
of high-risk M-IPSS patients, only 17 were included without contribution of
high B2M. Figure 1D illustrates
the prognostic impact of M-IPSS. Simple addition of B2M value to the IPSS
(which forced the original IPSS cutoffs despite their lack of significance in
our population) did improve the stratification of patients (not shown).
However, the results remained inferior to those described for M-IPSS.
View this table:
[in this window]
[in a new window]
|
Table 3.. Associations between survival time and patient characteristics
identified using backward selection procedure (Cox proportional hazards
model*)
|
|
Serum levels of B2M have prognostic significance in
lymphomas,7-12
multiple myeloma,13
chronic lymphocytic
leukemia,14-15
Philadelphia-positive chronic myelogenous
leukemia,16
CMML,17 and acute
lymphocytic
leukemia.18 B2M was
the only variable predicting the response of high-risk MDS to intensive
chemotherapy.3 The
prognostic importance of B2M may be related to its role in the immunological
response of the host to the
malignancy.19,20
Since most circulating B2M is derived from the cellular
surface,21
increased levels may relate to increased cell turnover, increased tumor mass,
or both. The correlation of B2M with apoptotic activity in MDS is being
investigated.
In summary, we report that incorporation of B2M into risk assessment of
patients with MDS improved the discriminatory power of the IPSS. Karyotype and
B2M display the highest power in predicting survival and can alone be used for
stratification of MDS patients. While these results must be verified in an
independent, comparable population of MDS patients with normal serum
creatinine levels, our data strongly recommend routine measurements of B2M in
patients with MDS.
 |
Acknowledgements
|
|---|
The authors wish to thank Vivian Bush for assistance in preparation of this
report.
 |
Footnotes
|
|---|
Submitted October 29, 2002;
accepted April 25, 2003.
Prepublished online as Blood First Edition Paper, May 8, 2003; DOI
10.1182/blood-2002-10-3264.
Supported in part by Salners Family Fund for Leukemia Research (M.B.).
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: Miloslav Beran, M. D. Anderson Cancer Center, 1515 Holcombe
Blvd, Box 428, Houston, TX 77030; e-mail:
mberan{at}mdanderson.org.
 |
References
|
|---|
- Greenberg P, Cox C, LeBeau MM, et al. International scoring system
for evaluating prognosis in myelodysplastic syndromes. Blood.
1997;89:
2079-2088.[Abstract/Free Full Text]
- Schardijn GH, Statius van Eps LW. Beta 2-microglobulin: its
significance in the evaluation of renal function. Kidney Int.
1987;32:
635-641.[Medline]
[Order article via Infotrieve]
- Gatto S, Onida F, Estey E, et al. Prognostic significance of serum
beta-2-microglobulin levels in myelodysplastic syndromes [abstract 606].
Hematology J. 2002;3(suppl
1): 182.
- Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the
classification of the myelodysplastic syndromes. Br J Haematol.
1982;51:
189-199.[Medline]
[Order article via Infotrieve]
- Beran M, Shen Y, Kantarjian H, et al. High-dose chemotherapy in
high-risk myelodysplastic syndrome. Cancer.
2001;92:
1999-2015.[CrossRef][Medline]
[Order article via Infotrieve]
- Thall PF, Estey E. Graphical methods for evaluating covariate
effects in the Cox model. In: Crowley J, ed. Handbook of Statistics in
Clinical Oncology. New York, NY: Marcel Dekker; 2001:
411-432.
- Aviles A, Diaz-Maqueo JC, Rodriguez L, Garcia EL, Guzman R,
Talavera A. Prognostic value of serum beta 2 microglobulin in primary gastric
lymphoma. Hematol Oncol.
1991;9:
115-121.[Medline]
[Order article via Infotrieve]
- Johnson PW, Whelan J, Longhurst S, et al. Beta-2 microglobulin: a
prognostic factor in diffuse aggressive non-Hodgkin's lymphomas. Br J
Cancer. 1993;67:
792-797.[Medline]
[Order article via Infotrieve]
- Aviles A, Zepeda G, Diaz-Maqueo JC, et al. Beta 2 microglobulin
levels as an indicator of prognosis in diffuse large cell lymphoma.
Leuk Lymphoma. 1992;7:
135-138.[Medline]
[Order article via Infotrieve]
- Litam P, Swan F, Cabanillas F, et al. Prognostic value of serum
beta-2 microglobulin in low-grade lymphoma. Ann Intern Med.
1991;114:
855-860.[CrossRef][Medline]
[Order article via Infotrieve]
- Dimopoulos MA, Cabanillas F, Lee JJ, et al. Prognostic role of
serum beta 2-microglobulin in Hodgkin's disease. J Clin Oncol.
1993;11:
1108-1111.[Abstract/Free Full Text]
- Rodriguez J, Pugh WC, Romaguera JE, et al. Primary mediastinal
large cell lymphoma is characterized by an inverted pattern of large tumoral
mass and low beta 2 microglobulin levels in serum and frequently elevated
levels of serum lactate dehydrogenase. Ann Oncol.
1994;5:
847-849.[Abstract/Free Full Text]
- Kyle RA. Prognostic factors in multiple myeloma. Stem
Cells. 1995;13:
56-63.
- Keating MJ, O'Brien S, Robertson L, Huh Y, Kantarjian H, Plunkett
W. Chronic lymphocytic leukemia: correlation of response and survival.
Leuk Lymphoma. 1993;11:
167-175.
- Molica S, Levato D, Cascavilla N, Levato L, Musto P.
Clinico-prognostic implications of simultaneous increased serum levels of
soluble CD23 and beta2-microglobulin in B-cell chronic lymphocytic leukemia.
Eur J Haematol. 1999;62:
117-122.[Medline]
[Order article via Infotrieve]
- Rodriguez J, Cortes J, Talpaz M, et al. Serum beta-2 microglobulin
levels are a significant prognostic factor in Philadelphia chromosome-positive
chronic myelogenous leukemia. Clin Cancer Res.
2000;6:
147-152.[Abstract/Free Full Text]
- Onida F, Kantarjian HM, Smith TL, et al. Prognostic factors and
scoring systems in chronic myelomonocytic leukemia: a retrospective analysis
of 213 patients. Blood.
2002;99:
840-849.[Abstract/Free Full Text]
- Kantarjian HM, Smith T, Estey E, et al. Prognostic significance of
elevated serum beta 2-microglobulin levels in adult acute lymphocytic
leukemia. Am J Med.
1992;93:
599-604.[CrossRef][Medline]
[Order article via Infotrieve]
- Otten GR, Bikoff E, Ribaudo RK, Kozlowski S, Margulies DH, Germain
RN. Peptide and beta 2-microglobulin regulation of cell surface MHC class I
conformation and expression. J Immunol.
1992;148:
3723-3732.[Abstract]
- Bethea M, Forman DT. Beta 2-microglobulin: its significance and
clinical usefulness. Ann Clin Lab Sci.
1990;20:
163-168.[Abstract]
- Ploegh HL, Orr HT, Strominger JL. Major histocompatibility
antigens: the human (HLA-A, -B, -C) and murine (H-2K, H-2D) class I molecules.
Cell. 1981;24,
287-299.[CrossRef][Medline]
[Order article via Infotrieve]

CiteULike Connotea Del.icio.us Digg Reddit Technorati What's this?
This article has been cited by other articles:

|
 |

|
 |
 
A.-M. Tsimberidou, H. M. Kantarjian, S. Wen, S. O'Brien, J. Cortes, W. G. Wierda, C. Koller, S. Pierce, M. Brandt, E. J. Freireich, et al.
The Prognostic Significance of Serum {beta}2 Microglobulin Levels in Acute Myeloid Leukemia and Prognostic Scores Predicting Survival: Analysis of 1,180 Patients
Clin. Cancer Res.,
February 1, 2008;
14(3):
721 - 730.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|
|