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Comparative outcome of reduced intensity and myeloablative conditioning regimen in HLA identical sibling allogeneic haematopoietic stem cell transplantation for patients older than 50 years of age with acute myeloblastic leukaemia: A retrospective survey from the Acute Leukemia Working Party (ALWP) of the European group for Blood and Marrow Transplantation (EBMT)

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Results of reduced intensity conditioning regimen (RIC) in the HLA identical haematopoietic stem cell transplantation (HSCT) setting have not been compared to those after myeloablative (MA) regimen HSCT in patients with acute myeloblastic leukaemia (AML) over 50 years of age. With this aim, outcomes of 315 RIC were compared with 407 MA HSCT recipients. The majority of RIC was fludarabine-based regimen associated to busulphan (BU) (53%) or low-dose total body irradiation (24%). Multivariate analyses of outcomes were used adjusting for differences between both groups. The median follow-up was 13 months. Cytogenetics, FAB classification, WBC count at diagnosis and status of the disease at transplant were not statistically different between the two groups. However, RIC patients were older, transplanted more recently, and more frequently with peripheral blood allogeneic stem cells as compared to MA recipients. In multivariate analysis, acute GVHD (II-IV) and transplant-related mortality were significantly decreased (P=0.01 and P<10(-4), respectively) and relapse incidence was significantly higher (P=0.003) after RIC transplantation. Leukaemia-free survival was not statistically different between the two groups. These results may set the grounds for prospective trials comparing RIC with other strategies of treatment in elderly AML.
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Comparative outcome of reduced intensity and myeloablative conditioning regimen
in HLA identical sibling allogeneic haematopoietic stem cell transplantation for patients
older than 50 years of age with acute myeloblastic leukaemia: a retrospective survey
from the Acute Leukemia Working Party (ALWP) of the European group for Blood and
Marrow Transplantation (EBMT)
M Aoudjhane
1
, M Labopin
1
, NC Gorin
1
, A Shimoni
1
, T Ruutu
1
, H-J Kolb
1
, F Frassoni
1
, JM Boiron
1
, JL Yin
1
, J Finke
1
, H Shouten
1
,
D Blaise
1
, M Falda
1
, AA Fauser
1
, J Esteve
1
, E Polge
1
, S Slavin
1
, D Niederwieser
1
, A Nagler
1
and V Rocha
1
on behalf of the Acute
Leukemia Working Party of EBMT
2
1
EA1638 Universite
´
Paris 6, Acute Leukemia Working Party and European Group of Blood and Marrow Transplant Office Paris,
Paris, France
Results of reduced intensity conditioning regimen (RIC) in the
HLA identical haematopoietic stem cell transplantation (HSCT)
setting have not been compared to those after myeloablative
(MA) regimen HSCT in patients with acute myeloblastic
leukaemia (AML) over 50 years of age. With this aim, outcomes
of 315 RIC were compared with 407 MA HSCT recipients. The
majority of RIC was fludarabine-based regimen associated to
busulphan (BU) (53%) or low-dose total body irradiation (24%).
Multivariate analyses of outcomes were used adjusting for
differences between both groups. The median follow-up was 13
months. Cytogenetics, FAB classification, WBC count at
diagnosis and status of the disease at transplant were not
statistically different between the two groups. However, RIC
patients were older, transplanted more recently, and more
frequently with peripheral blood allogeneic stem cells as
compared to MA recipients. In multivariate analysis, acute
GVHD (II–IV) and transplant-related mortality were significantly
decreased (P ¼ 0.01 and Po10
4
, respectively) and relapse
incidence was significantly higher (P ¼ 0.003) after RIC trans-
plantation. Leukaemia-free survival was not statistically differ-
ent between the two groups. These results may set the grounds
for prospective trials comparing RIC with other strategies of
treatment in elderly AML.
Leukemia (2005) 19, 2304–2312. doi:10.1038/sj.leu.2403967;
published online 29 September 2005
Keywords: acute myelocytic leukaemia; genoidentical
haematopoietic stem cell transplants; reduced intensity preparative
regimen
Introduction
In patients with an available HLA identical sibling or unrelated
donor, allogeneic haematopoietic stem cell transplantation
(HSCT) for the treatment of acute myeloblastic leukaemia
(AML) has, for decades, remained limited by patient age and
physical condition. Indeed, the best results in terms of
leukaemia-free survival (LFS) have essentially concerned young-
er patients. In patients over 50 years of age, HSCT has resulted in
an unacceptable transplantation-related mortality (TRM) both
due to the toxicity of the myeloablative (MA) regimen used as
conditioning and the high incidence and severity of graft-versus-
host disease (GVHD).
1
Following studies in animal models, a new modality ‘non-MA
transplant or reduced intensity conditioning (RIC) regimen’ has
been developed
2–12
for older patients and patients with high risk
of TRM, with the argument that a less intense preparative
regimen would produce less organ damage, and still enable
engraftment and occurrence of graft-versus-tumour effect. In the
past 6 years, this approach has proved feasible and the induction
of graft-versus-tumour effect has indeed generated a high rate of
responses. It remains, however, unclear, whether the reduction
in antitumour activity secondary to the decrease in intensity of
the preparative regimen is compensated by the graft-versus-
tumour effect, which in this approach is the key antitumour
tool.
13
There has recently been a trend to use RIC even in patients
who, a few years ago, would have been candidates for a
conventional allogeneic HSCT. However, results of RIC reported
have usually mixed various diseases
14
at different stages and the
follow-up has remained short. Only recently a specific analysis
of RIC and conventional transplants in patients with a single
haematological malignancy, that is, multiple myeloma, has
been reported by the European Blood and Marrow Transplant
(EBMT) group.
15
In a retrospective analysis of 95 patients with AML analysed
through a donor vs no donor genetic randomization, RIC
transplant has been shown to be superior to chemotherapy,
16
but there has so far been no specific comparison of RIC to
conventional transplants.
17
In order to compare mainly TRM and other outcomes, we
analysed retrospectively the data on HLA identical sibling HSCT
using RIC, and compared the outcome with HLA identical
sibling HSCT using conventional MA transplants in adult
patients over 50 years of age with AML reported to EBMT
registry.
Materials and methods
Data collection
Data of HLA identical HSCT recipients older than 50 years
receiving either a reduced intensity regimen or a conventional
conditioning regimen were provided by the Acute Leukemia
Working Party (ALWP) of the EBMT group. EBMT registry is a
voluntary working group of more than 450 transplant centres,
participants of which are required once a year to report all
consecutive haematopoietic stem cell transplantations and
follow-up.
Received 30 May 2005; accepted 23 August 2005; published online
29 September 2005
Correspondence: Dr V Rocha, Acute Leukemia Working Party–
European Group of Blood and Marrow Transplant, Ho
ˆ
pital Saint-
Louis and Ho
ˆ
pital Saint-Antoine, Universite
´
de Paris 7 and Universite
´
de Paris 6, 27, Rue de Chaligny, 75012 Paris, France;
E-mail: vanderson.rocha@sls.ap-hop-paris.fr
2
Other authors are listed in the Appendix
Leukemia (2005) 19, 2304–2312
& 2005 Nature Publishing Group All rights reserved 0887-6924/05 $30.00
www.nature.com/leu
Criteria of selection
The study included patients receiving HLA identical sibling
HSCT who (1) were aged X50 years at time of transplant; (2)
had de novo acute myeloid leukaemia; (3) were transplanted
between 1 January 1997 and 31 December 2003; (4) had
received a reduced intensity regimen defined as the use of
fludarabine associated with low-dose total body irradiation (TBI)
(o3 Gy), or busulphan (total dose p8 mg/kg), or other non-MA
drugs; (5) had received a MA-based preparative regimen with
TBIX10 or busuphfan (48 mg/kg) associated with other drugs;
(6) were patients whose clinical data on outcomes were
adequate.
All patients receiving previous autologous transplantation
were excluded from this analysis.
A total of 315 RIC and 407 MA HSCT recipients from 182
transplant centres met these eligibility criteria.
Patients
The registry contained information on a total of 722 patients of
whom 407 received an MA and 315 RIC. The patient-, disease-
and transplant-related factors and differences between the two
groups of patients are given in Table 1. Interestingly, the
majority of patients was transplanted in CR1 (245 MA and 171
RIC). RIC patients were older (median 57 vs 54 years) – as were
their donors (57 vs 52 years) – and more frequently male (61 vs
51%). They were also transplanted more recently (median year
2001 vs 2000). As a source of stem cells, peripheral blood was
used in the majority for both transplant modalities, but was more
frequently used for RIC (90 vs 69%). Regarding GVHD
prophylaxis, RIC patients more often received cyclosporin A
alone without methotrexate or a combination of cyclosporin A
with mycophenolate mofetil (MMF). There was no other
detectable difference: in particular, the FAB classification and
the cytogenetics (in the populations where the information was
available) were evenly split in the overall population and when
stratifying by status at transplant.
The follow-up was 13 months (1–84) for the patients who
received an MA regimen and 14 months (1–67) for those who
received an RIC.
Statistical analysis
Patient-, disease-, and transplant-related variables of both
groups were compared, using the w
2
statistic for categorical
and the Mann–Whitney test for continuous variables. Variables
considered were recipient age and sex; disease characteristics
(FAB classification, cytogenetics, white blood count at the time
of diagnosis); donor characteristics (age, sex); disease status at
transplant (CR1, CR2 or more advanced disease); transplant
characteristics including year of transplant and GVHD prophy-
laxis. Factors differing in distribution between the two groups
with a P-value less than 0.10 and factors known to influence
outcomes (such as status at transplant) were included in the final
models. In order to test for a centre effect, we introduced a
random effect or frailty for each centre into the model.
18,19
Cumulative incidence curves were used in a competing risks
setting, death being treated as a competing event to calculate
probabilities of chronic GVHD (cGVHD), TRM and relapse.
20
Probabilities of survival and LFS were calculated using the
Kaplan–Meier estimate; the log-rank test was used for univariate
comparisons. Associations of graft type with outcomes were
evaluated in multivariate analyses, using Cox proportional
hazards for LFS and survival, logistic regression for acute GVHD
(aGVHD), and proportional subdistribution hazard regression
model of Fine and Gray
21
for other outcomes.
All P-values are two-sided with type I error rate fixed at 0.05.
Statistical analyses were performed with SPSS (Inc., Chicago)
and Splus (MathSoft, Inc, Seattle) software packages.
Results
Table 2 indicates the unadjusted outcomes post-transplant
according to disease status at transplants and according to MA
or RIC.
Graft-versus-host disease
aGVHD grade II–IV was observed in 114 patients receiving an
MA transplant (63 patients with grade II, 28 with grade III and 23
with grade IV) and in 64 patients receiving an RIC transplant (38
patients with grade II, 14 with grade III and 12 with grade IV).
Incidence of grade II–IV aGVHD was significantly lower after
RIC: 22% compared to 31% after MA HSCT (P ¼ 0.003) but not
grade III–IV (8 vs 12%, respectively) (P ¼ 0.12) (Table 2).
In a multivariate analysis, after statistical adjustment for
relevant risk factors, risk of grade II–IV aGVHD was significantly
lower after RIC than after MA transplant. The relative risk of
grade II–IV aGVHD with RIC vs MA was 0.60 (95% CI ¼ 0.4–
0.88, P ¼ 0.01). Other variables associated with lower aGVHD
risk are listed in Table 3. Multivariate analysis for grade III–IV
Table 1 Characteristics of patients, disease and transplants of
patients over 50 years of age with AML transplanted with an HLA
identical sibling donor according to type of conditioning used
(myeloablative vs reduced intensity)
Characteristics MA (n ¼ 407) RIC (n ¼ 315) P
Median WBC at diagnosis
10
9
/l (range)
5.7 (0.3–203) 6.9 (0.4–648) 0.41
FAB%
M0–2/M4–7 54/43 (M3:3) 58/42 NS
M0–4/M5–7 81/19 (M3:3) 78/21 0.27
Cytogenetics %
a
Good/inter/poor 13/75/12 9/75/16 0.37
Patient age (Years) 54 (50–64) 57 (50–73) 0.0001
Patient sex (Male%) 51 61 0.004
Donor age (Years) 52 (34–71) 57 (32–79) 0.001
Donor sex (Male%) 57 54 0.28
Median year of
transplant (range)
2000
(1997–2003)
2001
(1997–2003)
0.0001
Status at transplant n (%)
CR1 245 (60) 171 (54)
CR2 52 (13) 52 (17)
Advanced 110 (27) 92 (30)
GVHD
Cyclosporin % 13 37 0.0001
Prophylaxis
Cyclo+Metho % 85 44
Cyclo+MMF % 2 19
a
Good ¼ inv(16); t(8;21) and t(15;17); Poor ¼ abn 5 or 7 and 11q23.
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2305
Leukemia
aGVHD was not performed due to the small number of events
observed in both groups.
The 2-year cumulative incidences of cGVHD were 48% after
RIC compared with 56% after MA (P ¼ 0.64). In multivariate
analysis, the risk of chronic GVHD was lower following RIC
(RR ¼ 0.69; 95% CI ¼ 0.51–0.94, P ¼ 0.02).
Transplantation-related mortality
In univariate analysis, there was higher TRM after MA than after
RIC regimen in patients transplanted in CR1, CR2 and advanced
phase of the disease (Table 2). Cumulative incidence of TRM at
2 years for all patients was 32% after MA transplant compared to
18% after RIC transplant (Po0.001, Figure 1a). In a multivariate
analysis, the risk of mortality was statistically significantly higher
for patients receiving an MA transplantation than for those
receiving an RIC transplantation (Table 3).
Relapse
In univariate analysis, not adjusted for differences between the
two groups, the cumulative incidence of relapse was higher after
RIC transplant: 41% compared to 24% after MA transplant
(Po0.0001) (Figure 1b). According to the disease status at
transplant, relapse was also statistically significantly higher after
RIC in patients transplanted in remission (CR1 or CR2) than in
patients receiving an MA transplant (Table 2). For those patients
transplanted in the advanced phase of the disease, there was a
trend for higher relapse rate also in RIC recipients (P ¼ 0.06). In a
multivariate analysis, after adjustment for risk factors, relapse
was increased in RIC recipients compared to those receiving an
MA transplant. Other covariable associated with relapse
incidence was the advanced phase of the disease at transplant
(Table 3).
Overall survival and LFS
Unadjusted 2-year probability of LFS and overall survival (OS)
were 40 and 47%, (Figure 1c) and 44 and 46% (Figure 1d), in
the RIC and MA cohorts, respectively. Table 2 lists results of
unadjusted 2-year OS and LFS probability in each transplant
cohort according to diagnosis and status of the disease at
transplant. There was no significant difference for LFS and OS
for patients receiving either MA or RIC HSCT whatever the status
of the disease at transplant (Table 2). Results of multivariate
analysis comparing LFS and OS after RIC and MA transplants are
shown in Table 3. Similarly to the univariate analysis, there was
no significant difference in OS or LFS between both groups.
Causes of death
A total of 157 MA recipients and 137 RIC recipients died.
Persistent or recurrent leukaemia caused 69 (44%) deaths in the
MA group and 86 (64%) in RIC recipients. Table 4 lists causes of
death in both groups. Of note, in the RIC group, there were
Table 2 Nonadjusted outcomes of patients over 50 years of age
with AML transplanted with an HLA identical sibling donor according
to type of conditioning (myeloablative vs reduced intensity)
Outcomes Disease
status
MA
(N ¼ 407)
RIC
(N ¼ 315)
P-value
Acute GVHD (II–IV)
a
All status 31% 22% 0.003
Acute GVHD (III–IV)
a
All status 12% 8% 0.12
Chronic GVHD
b
All status 56734873 0.64
TRM
b
All status 32721872 o10
4
CR1 30732273 0.01
CR2 34781676 0.04
Advanced 34741473 0.002
RI
b
All status 24724173 o10
4
CR1 16733374 o10
4
CR2 18762876 0.04
Advanced 45756475 0.06
LFS
c
All status 44734073 0.8
CR1 54734475 0.26
CR2 47785577 0.81
Advanced 21742375 0.19
OS
c
All status 46734773 0.43
CR1 56745375 0.8
CR2 50786077 0.76
Advanced 23752776 0.1
GVHD: graft-versus-host disease; LFS: leukaemia-free survival;
OS: overall survival; RI: relapse incidence; TRM: transplant-related
mortality.
a
Incidence calculated at day 100.
b
Two years cumulative incidences using death as a competing event.
c
Two years Kaplan–Meier estimates.
Table 3 Multivariate analyses for outcomes of patients over 50
years of age with AML transplanted with an HLA identical sibling
donor according to type of conditioning (myeloablative vs reduced
intensity)
P-value RR
a
95.0% CI
Acute GVHD (II–IV)
b
RIC vs MA 0.01 0.6 0.4–0.88
Chronic GVHD
c
RIC vs MA 0.02 0.69 0.51–0.94
Transplant-related mortality
d
RIC vs MA 0.00006 0.48 0.33–0.68
Relapse
e
RIC vs MA 0.0003 1.78 1.3–2.43
Leukaemia-free survival
f
RIC vs MA 0.24 1.15 0.9–1.47
Overall survival
g
RIC vs MA 0.08 1.26 0.98–1.63
a
Relative risk with RIC vs MA transplants.
b
Other significant covariates: patient’s age RR ¼ 0.67 (95% CI ¼ 0.45–
0.99); P ¼ 0.04; peripheral blood vs bone marrow cells, RR ¼ 1.7 (95%
CI ¼ 1.05–2.7) P ¼ 0.03.
c
Other significant covariates: peripheral blood vs bone marrow cells,
RR ¼ 1.83 (95% CI ¼ 1.23–2.7) P ¼ 0.003.
d
No other covariate was selected in the multivariate model.
e
Other significant covariates: advanced status of the disease
RR ¼ 0.50 (95% CI ¼ 1.90–3.45); P ¼ o0.0001.
f
Other significant covariates: advanced status of the disease RR ¼ 0.46
(95% CI ¼ 0.36–0.58); P ¼ o0.0001.
g
Other significant covariates: advanced status of the disease
RR ¼ 0.42 (95% CI ¼ 0.33–0.55); P ¼ o0.0001.
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2306
Leukemia
28 (20%) deaths from GVHD, and 29 (18%) in the MA group.
Deaths related to toxicity other than GVHD were more common
in MA recipients.
Discussion
This retrospective study concerns a large series of patients older
than 50 years of age and transplanted for AML with an HLA
identical sibling, following either an MA or an RIC regimen.
It shows that following RIC, the TRM was lower than after a
conventional transplant and the relapse incidence was higher.
The reduction in TRM after RIC was expected since RIC was
originally designed precisely in an effort to reduce TRM; indeed,
recent studies comparing TRM in RIC and MA have further
documented this reduction in non-GVHD toxicity
22,23
:asa
particular example, RIC patients conditioned with 2 Gy TBI have
a lower reduction in 1-s forced expiratory volume (FEV1), forced
vital capacity, total lung capacity, residual volume and carbon
monoxide diffusion capacity than MA patients receiving TBI at
10 Gy.
24
GVHD is the other major component of TRM in HSCT
and at the same time is associated with GVL effect: following
allogeneic transplants using standard preparative regimen, the
overall incidence of aGVHD grade II–IV is around 40% and the
incidence of cGVHD around 60%, but it is known to be
increased in older patients, where it contributes to poorer
outcome.
1
The International Bone Marrow Transplant Registry
(IBMTR) has shown 15 years ago that the relapse incidence was
reduced in patients with aGVHD and/or cGVHD.
25
A study
from EBMT has further indicated that the highest LFS after
allogeneic bone marrow transplantation was seen in patients
with grade I aGVHD.
26
Less is known on the incidence and
severity of GVHD and the GVL effect following RIC in which the
distinction between aGVHD and cGVHD is often more difficult
with late onset (after 100 days) occurring aGVHD.
27
In this
regard, using a specific definition, the Seattle team analysed
retrospectively 171 consecutive patients, who had related or
unrelated RIC HCT, for various haematologic malignancies for
the development of serious aGVHD or cGVHD.
28
A total of 43
(25%) patients had serious GVHD, of whom 20 had grade III–IV
aGVHD, and 30 had extensive chronic GVHD. To this were
added seven patients with grade III aGVHD and 84 with
extensive cGVHD that did not meet criteria for serious GVHD,
indicating in the end an incidence of aGVHD IIIFIV, of 16%,
and a very high incidence of chronic extensive GVHD, of 72%.
In another study from the same team,
29
of a total of 221 patients
with various haematological malignancies receiving an RIC,
grade II–IV aGVHD had no significant impact on the risk of
relapse or progression but was associated with an increased risk
of nonrelapse mortality and a decreased probability of progres-
sion-free survival (PFS). Conversely, extensive cGVHD was
associated with decreased risk of relapse or progression and
increased probability of PFS. In this context, it is of interest in
0123
0.0
0.2
0.4
0.6
0.8
1.0
years
3210
1.0
0.8
0.6
0.4
0.2
0.0
years
3210
1.0
0.8
0.6
0.4
0.2
0.0
y
ears
a
c
d
0123
0.0
0.2
0.4
0.6
0.8
1.0
years
b
MA
MA
MA
MA
RIC
RIC
RIC
RIC
Figure 1 Unadjusted cumulative incidence of TRM (a), relapse (b),
LFS (c) and OS (d) for patients over 50 years of age with AML receiving
an MA transplant or RIC after HLA identical sibling HSCT.
Table 4 Causes of death in both groups of patients
Causes of death MA RIC
Original disease 69 (44%) 86 (64%)
GVHD 29 (18%) 28 (20%)
Cardiac toxicity 2 (1.3%) 0
Haemorrhage 2 (1.3%) 1 (1%)
Failure/rejection 1 (0.6%) 0
Veno-occlusive disease 6 (4%) 0
Interstitial pneumonitis 5 (3%) 2 (1.5%)
Infection 37 (24%) 19 (14%)
Second malignancy 1 (0.6%) 1 (0.7%)
Other 5 (3%) 0
Total 157 137
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2307
Leukemia
our study, which is restricted to AML and genoidentical
transplants in patients older than 50 years of age, to note that
the incidence of aGVHD and cGVHD was lower following RIC
than MA HSCT. Our finding on the lower incidence of grade
II–IV aGVHD and cGVHD confirms the previous report by MD
Anderson
30
on 137 transplanted patients where the actuarial
rate of grade II–IV aGVHD was significantly higher in patients
receiving MA regimens (36%) than in the RIC group (12%). In
this report also, the cumulative incidence of cGVHD was higher
in the ablative group (40%) than in the RIC group (14%).
Unfortunately, due to the small number of patients presenting
grade III–IV in both groups, a multivariate analysis was not
possible to confirm the no statistical difference observed in the
unadjusted univariate analysis for grade III–IV GVHD. However,
GVHD remained the major cause of nonleukemic death after
RIC probably because the other causes of death were
considerably reduced (such as infections, liver VOD, interstitial
pneumonitis).
The literature on RIC is considerable but specific studies of
RIC on AML are limited:
31
previous retrospective reports on RIC
for any given haematological malignancy,
32,33
and most of all
for AML, have usually concerned small series of patients from
single institutions. Most retrospective studies, in fact have
pooled various diseases. In a series of 36 patients from 55 to
66 years of age receiving an RIC transplant from an unrelated
donor for various haematological malignancies, Shimoni et al
34
have reported a disease-free survival (DFS) of 43% at 1 year with
an incidence of aGVHD grade II–IV and cGVHD of 31 and 45%
with somewhat better outcome in patients with myeloid
malignancies. They concluded that unrelated donor SCT is
feasible in elderly patients, with outcomes that are similar to
younger patients. The Boston team has compared 71 patients
over 50 years of age receiving a non-MA transplant with 81
patients over 50 years of age who received an MA transplant
during the period from 1997 to 2002. They concluded in similar
outcome, with more relapses in RIC and lower TRM, but the
patient population was very heterogeneous with various
haematological malignancies (AML, ALL, myelodysplastic syndro-
mes, CLL, myelomas, lymphomas and other). In this study, only
34 AML patients were transplanted, 21 with RIC and 13 with a
conventional transplant. Moreover, this study also included
related and unrelated transplants.
The value of RIC in AML therefore is unclear and yet, several
teams have already taken the step at the institution policy level,
to use RIC rather than MA transplants in patients over 50 years of
age and, further, some have even proposed this scheme to
younger patients and in first complete remission. Such a policy
may at the moment be premature in view of the paucity of data
and the still short follow-up. There has so far been no
randomized study addressing the question of the comparison
of RIC with MA transplants, although some are being planned.
The ALWP of the EBMT registry, because it contained
information on a total of 721 patients with AML older than 50
years of age given an HLA identical sibling HSCT, was felt to be
an interesting tool to approach two major questions; that is, first
the outcome of older patients with AML receiving an RIC and
second, its value as compared with MA HSCT. The present study
shows that patients receiving an RIC had, at 2 years, a DFS of
4073% and an OS of 4773%, which is not different from the
figures of 4473 and 4673%, respectively, following an MA
HSCT. This was achieved despite a significant increase in
relapse incidence with RIC but thanks to a significant decrease
in TRM. Interestingly, these findings are reminiscent of the
retrospective studies from EBMT, a decade ago, which
compared conventional allogeneic stem cell transplantation
with autologous stem cell transplantation and similarly showed
for the latter a significant increase in relapse incidence
counterbalanced by a significant decrease in TRM.
35
EBMT
studies in progress are presently comparing RIC to autologous
HSCT in elderly patients with AML.
The present study suffers from the usual limitations of
retrospective and multicentre studies despite the fact that the
two patient populations were similar in several characteristics,
and patients receiving an RIC were older and were transplanted
more recently. RIC is still an emergent transplant modality and
not all centres perform both transplant modalities; 154 patients
who received a conventional transplant were reported from 59
centres performing only conventional transplants; 104 patients
who received an RIC were reported from 47 centres performing
only RIC and 464 patients were reported from 76 centres
performing both modalities. In these centres, the choice of the
modality, in the absence of randomization, has probably relied
on the patient performance status and physiological age, RIC
being proposed to the more fragile patients in addition to the
older as indicated above. By taking into account the centre
effect
36
with the frailty model we, of course, try to erase some
but not all the potential biases.
Finally, it is of interest that The Chronic Leukaemia Working
Party of EBMT has recently reported results of a study similar to
ours, but concerning patients with multiple myeloma;
15
the
results were strikingly similar to ours, namely more relapses with
RIC but lower TRM, in the end leading to similar DFS and OS
following both transplant modalities.
In conclusion, this analysis shows that RIC in patients with
AML older than 50 years of age is feasible and that in
comparison with conventional transplants, it is associated with
more relapses but less transplant toxicity. Since LFS and OS
were not statistically different with the two modalities, albeit
with a short follow-up, a randomized study in this high-risk
population seems warranted.
Acknowledgements
We thank all data managers from EBMT and National registries
who collect, check and contribute data for the ALWP.
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Appendix
List of EBMT transplant centres contributing data for this
study:
CIC:
: 119: Galieni P, Mazzoni Hospital Haematology Service
Ascoli Piceno, Italy
132: Petrini M, Dipartimento di Oncologia, dei trapianti e
delle nuove tecnologie in medicina Divisione di Ematologia,
Pisa, Italy
152: Schlimok G, II Medizinische Klinik, Postfach 10 19 20,
Augsburg, Germany
160: Buzyn A, Ho
ˆ
pital Necker Service Hematologie Adulte,
Paris, France
170: Ovali E, Karadeniz Technical University Faculty of
Medicine, Trabzon, Turkey
202: Gratwohl A, Division of Hematology Kantonsspital,
Basel, Switzerland
203: Willemze R, BMT Centre Leiden Leiden University
Hospital, Leiden, The Netherlands
204: Bunjes D, Abteilung Innere Medizin III Medizinische
Klinik und Poliklinik, Ulm, Germany
205: Goldman JM, Department of Haematology Hammer-
smith Hospital at London, United Kingdom
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2309
Leukemia
206: Jacobsen N, BMT Unit Department of Hematology L
4042 Blegdamsvey 9, Copenhagen, Denmark
207: Gluckman E, Deptartmentof Hematology BMT
Hopital St Louis, Paris, France
208: Schanz U, Department of Medicine, University Hospital,
Zurich, Switzerland
209: Boogaerts MA, Department of Hematology, University
Hospital, Gasthuisberg, Leuven, Belgium
212: Ljungman P, Department of Hematology, Huddinge
University Hospital, Huddinge, Sweden
214: Montserrat E, Institute of Hematology & Oncology,
Department of Hematology, Hospital Clinic, Barcelona,
Spain
215: Bron D, Experimental Hematology Institut Jules Bordet,
Brussels, Belgium
216: Potter M, Department of Hematology, Royal Free
Hospital and School of Med., London, United Kingdom
217: Bacigalupo A, Department of Hematology, Ospedale
San Martino, Genova, Italy
218: Powles R, Leukaemia Myeloma Units Royal Marsden
Hospital, Sutton, United Kingdom
222: Rio B, Service d’Hematologie Hotel Dieu, Paris, France
223: Kanz L, Medizinische Klinik Abteilung II, Tu
¨
bingen,
Germany
224: Goldstone AH, Department of Haematology, University
College London Hospital, London, United Kingdom
225: Remes K, Turku University Central Hospital BMT Unit,
Department of Medicine,Turku, Finland
227: Greinix HT, AKH und Universitaetskliniken Wien Klink
fuer Innere I, Vienna, Austria
228: Davies JM, Department of Hematology, Western
General Hospital, Edinburgh, United Kingdom
230: Blaise D, Institut Paoli Calmettes. 232 Boulevard de Ste.
Marguerite, Marseille, France
231: Falda M, Centro Trapianti Midollo Azienda Ospedaliera
S. Giovanni, Torino, Italy
232: Mandelli F, Dipartimento di Biotecnologie Cellulari e
Ematologia, University ‘La Sapienza’, Rome, Italy
233: Cahn JY, Service d’He
´
matologie Hopital, Jean Minjoz
Besancon, France
234: Ferrant A, Department of Haematology, Cliniques
Universitaires St. Luc, Brussels, Belgium
235: Brinch L, Department of Medicine, Rikshospitalet, Oslo,
Norway
236: Ferna
´
ndez-Ranada JM, Department of Hematology,
Hospital de la Princesa, Madrid, Spain
238: Torres Gomez A, Department of Hematology, Co
´
rdoba
Hospital, Co
´
rdoba, Spain
239: Verdonck LF, University Medical Centre, Department of
Haematology, Utrecht, The Netherlands
240: Baccarani M, Institute of Hematology and Medical
Oncology Sera
´
gnoli, Hospital San Orsola, Bologna, Italy
242: Iriondo A, Hospital Universitario ‘Marque
´
s de Valde-
cilla’, Santander, Spain
244: Franklin I, Department of Medicine, Glasgow Royal
Infirmary, Glasgow, United Kingdom
245: Rizzoli V, Cattedra di Ematologia University of Parma
Centro Trapianti Midollo Osseo, Parma, Italy
246: Cornelissen JJ, Erasmus MC-Daniel den Hoed Cancer
Centre, PO Box 5201 Rotterdam The Netherlands
247, Van den Berg H, Academisch Ziekenhuis bij deUniver-
siteit van Amsterdam, Emma Kinderziekenhuis, Amsterdam, The
Netherlands
252: Cordonnier C, Sve d’ Hematologie Ho
ˆ
pital Henri
Mondor, Creteil, France
253: Harousseau JL, Department de Hematologie Hotel Dieu,
Nantes, France
254: Barnard DL, Bone Marrow Transplant Unit Level 8,
Gledhow Wing, Leeds, United Kingdom
255: Littlewood T, Clinical Haematology, The Oxford
Radcliffe Hospital, Oxford, United Kingdom
256: Horst HA, BMT University/Department of Internal Med.
II Christian-Albrechts-University, Kiel, Germany
257: McCann S, Department of Hematology, St James
Hospital Trinity College, Dublin, Ireland (Rep)
258: Slavin S, Department of Bone Marrow Transplantation,
Hadassah University Hospital, Jerusalem, Israel
259: Schaefer UW, Department of Bone Marrow Transplanta-
tion, University Hospital, Essen, Germany
260: Sierra J, Clinical Hematology, Division Hospital Santa
Creu i Sant Pau, Barcelona, Spain
261: Chapuis B, Division d’He
´
matologie, Hopital Cantonal
Universitaire, Geneva, Switzerland
262: Leblond V, Pitie-Salpetriere 47, boulevard de l’Hopital,
Paris, France
264: Guilhot F, Clinical Hematology, Head of the Bone
Marrow Transplant Unit, Poitiers, France
265: Lambertenghi Deliliers G, Ospedale Maggiore di Milano
IRCCS, Milano, Italy
266: Simonsson B, Department of Medicine, University
Hospital, Uppsala, Sweden
267: Reiffers J, CHU Bordeaux Ho
ˆ
pital Haut-leveque, Pessac,
France
270: Sotto JJ, Department of Hematology Hopital A Michal-
lon, Grenoble, France
271: Gastl G, University Hospital Innsbruck, Division of
Hematology and Oncology, Innsbruck, Austria
273: Bay JO, Fe
´
de
´
ration de Greffe de Moelle et de The
´
rapie
Cellulaire d’Auvergne, Clermont-Ferrand, France
276: Jackson GL, Department of Hematology, Royal Victoria
Infirmary, Newcastle upon Tyne, United Kingdom
282: Garcı´a-Conde J, Hospital Clı´nico Universitario Servicio
de Hematologia y Oncologia, Valencia, Spain
283: Lenhoff S, Department of Hematology, University
Hospital, Lund, Sweden
286: Alessandrino EP, Department of Hematology, BMT unit
Policlinico San Matteo, Pavia, Italy
287: Majolino I, Department of Hematology and BMT
Ospedale S Camillo-Forlanini, Rome, Italy
288: Izzi T, Department of Medicine Spedali Civili Brescia,
Brescia, Italy
289: Brune M, Center for Hematopoietic Cell Transplantation
(CHECT), Goeteborg, Sweden
291: Pimentel P, Inst. Portugues Oncologia Centro do Porto –
BMT Unit, Porto, Portugal
293: Siegert W, Campus Charite
´
Mitte Medizinische Klinik
und Poliklinik II, Berlin, Germany
294: Morra E, Hematology Department, Ospedale di Niguar-
da Ca’ Granda, Milano, Italy
295: Hertenstein B, Department of Hematology/Oncology
Medical School of Hannover, Hannover, Germany
297: Hoelzer D, Department Hematology, Zentrum Inn
Medizin, Universita
¨
t Frankfurt, Frankfurt, Germany
299: Coser P, Department of Hematology BMT Unit
Hospital San Maurizio, Bolzano, Italy
300: Abecasis M, Inst. Portugues Oncologia, BMT Unit,
Lisboa, Portugal
302: Labar B, Department of Medicine/BMT Unit
(Haematology), University Hospital Centre Rebro, Zagreb,
Croatia
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2310
Leukemia
303: Burnett AK, Department of Haematology, College of
Medicine, Cardiff, United Kingdom
304: Bosi A, BMT Unit, Department of Hematology, Ospedale
di Careggi, Firenze, Italy
307: Leone G, Istituto Semeiotica Medica, Ematologia
Universita Cattolica S Cuore, Rome, ITALY
308: Linkesch W, Karl-Franzens-University-Graz Department
of Internal Medicine, Graz, Austria
311: Schwerdtfeger R, Deutsche Klinik fu
¨
r Diagnostik KMT
Zentrum, Wiesbaden, Germany
321: Lauria F, Department of Hematology, Policlinico Le
Scotte, Siena, Italy
331: Martinelli G, European Institute of Oncology, Milano,
Italy
332: Mazza P, Institute of Haematology Hospedale, Nord
Taranto, Italy
339: Zache
´
e P, AZ Stuivenberg Lange Beeldekensstraat, 267
Antwerp, Belgium
344: Culligan DJ, Grampian University Hospitals Trust,
Department of Haematology, Aberdeen, United Kingdom
345: Rowe JM, Department of Hematology & BMT Rambam
Medical Center, Haifa, Israel
372: Arpaci F, GATA BMT Center, Gu
¨
lhane Military Medical
Academy, Ankara, Turkey
374: De Souza CA, University Est. de Campinas/TMO/
UNICAMP Cidade Universitaria ‘Zeferino Vaz’, Campinas,
Brazil
378: Saglio G, Ospedale San Luigi Orbassano Medicina
Interna II SEZ 5A, Torino, Italy
387: Craddock C, Department of Haematology, University
Hospital Birmingham, NHS Trust, Birmingham, United Kingdom
389: Niederwieser D, University Leipzig, Division of Internal
Med. II, Dapartment of Haematology/Oncology, Leipzig,
Germany
390: Haas R, Klinik fu
¨
rHa
¨
mat, Onkol, Klin. Immun. Heinrich
Heine Universita
¨
t, Du
¨
sseldorf, Germany
392: Scime
`
R, Div. di Ematologia e Unita
`
Trapianti Ospedale
V. Cervello, Palermo, Italy
501: Clark RE, Royal Liverpool University Hospital, Depart-
ment of Haematology, Liverpool, United Kingdom
504: Poros A, Department Hematol & BMT Unit National
Medical Centre, Budapest, Hungary
513: Kolb HJ, Med. Klinik III Klinikum Grosshadern,
Mu
¨
nchen, Germany
515: Ruutu T, Department of Medicine, Helsinki University
Central Hospital, Helsinki, Finland
523: Gratecos N, Hematologie Clinique Ho
ˆ
pital de l’ARCHET
I, Nice, France
524: Ho AD, University of Heidelberg Medizinische Klinik u.
Poliklinik V, Heidelberg, Germany
526: Carella AM, IRCCS, Casa Sollievo della Sofferenza Unit
of Hematology and San Giovanni, Rotondo, Italy
529: Visani G, Department of Hematology, Pesaro Hospital,
Pesaro, Italy
530: Doelken G, Medizinische Universita
¨
tsklinik C Ernst-
Moritz-Arndt-Univer. Greifswald, Greifswald, Germany
539: Marsh JCW, Department of Cellular & Molecular
Sciences St George’s Hospital, Medical School, London, United
Kingdom
544: Pogliani EM, University di Milano-Bicocca Ospedale S.
Gerardo, Monza, Italy
558: Peschel C, III Med Klinik der TU Klinkum Rechts der Isar,
Mu
¨
nchen, Germany
561: Fassas A, Haematology Department/BMT Unit, The
George Papanicolaou General, Thessaloniki, Greece
565: Schouten H, Department Internal Med. Hematology/
Oncology, University Hospital Maastricht, Maastricht, The
Netherlands
566: Marcus R, Department of Haematology, Addenbrookes
Hospital, Box 234, Cambridge, United Kingdom
574: Indra
´
k K, Department of Haemato-oncology University
Hospital, Olomouc, Czech Repub
587: Iacopino P, Azienda Ospedaliera Bianchi-Melacrino-
Morelli Reggio, Calabria, Italy
588: Ossenkoppele GJ, Free University Hospital Amsterdam,
Department of Hematology, BR 240 Amsterdam, The Netherlands
590: Knauf W, Innere Medizin/Ha
¨
matologie/Onkologie Klin.
Benjamin Franklin, FU Berlin, Berlin, Germany
592: Fauser AA, Klinik fu
¨
r Knochenmarktransplantation und
Ha
¨
matologie/Onkologie GmbH Idar-Oberstein, Germany
594: Lutz D, Elisabethinen-Hospital I. Internal Department,
Linz, Austria
595: Schwarer AP, Alfred Hospital, BMT Programme Com-
mercial RD, Melbourne, Australia
597: Vorlicek J, University Hospital Brno Department of
Internal Med. Hematooncology, Brno, Czech Repub
601: Liu Yin J, Manchester Royal Infirmary Haematology,
Manchester
607: Ferrara F, Division of Hematology, Cardarelli Hospital,
Napoli, Italy
610: Mistrik M, Clinic of Hematology & Transfusiology
University Hospital, Bratislava, Slovakian Republic
612: Leon Lara A, Hospital del SAS Department of Hemato-
logy, Ca
´
diz, Spain
613: Ribera Santasusana JM, Hospital Universitari Germans
Trias i Pujol, Barcelona, Spain
614: Zander AR, University Hospital Eppendorf Bone Marrow
Transplantation Centre, Hamburg, Germany
617: Gurman G, Department of Hematology, Ankara
University Medical School, Ankara, Turkey
622: Harhalakis N, Division of Hematology, BMT Unit
Evangelismos Hospital, Athens, Greece
623: Benedetti F, Divisione di Ematologia, Unita
`
di TMO
Policlinico G.B. Rossi, Verona, Italy
624: Attal M, CHU Department Hematologie Hopital de
Purpan, Toulouse, France
625: Wandt H, 5. Medizinische Klinik, BMT-Unit Klinikum
Nu
¨
rnberg, Nu
¨
rnberg, Germany
640: Pretnar J, Department of Hematology University Med.
Center, Ljubljana, Slovenia
645: Neubauer A, Klinik fuer Haematologie, Onkologie und
Immunologie, Marburg, Germany
646: Demuynck H, Heilig Hartziekenhuis Hematology
Oncology Department, Roeselare, Belgium
650: Boasson M, Service des Maladies du Sang CHRU,
Angers, France
656: Vitek A, Institute of Hematology and Blood Transfusion,
Prague, Czech Repub
658: Barbui T, Divisione di Ematologia Ospedale Bergamo,
Bergamo, Italy
660: Gugliotta L, Unita Operativa Ematologia Arcispedale S.
Maria Nuova Reggio, Emilia, Italy
663: Sanz MA, Hospital Universitario La Fe Servicio de
Hematologia, Valencia, Spain
666: Bourhis JH, BMT Unit, Hematology Division Institut
Gustave, Roussy Villejuif Cedex, France
671: Michallet M, BMT Unit Pavillon E Hopital E. Herriot,
Lyon, France
672: Lioure B, Onco-He
´
matologie Hopital de Hautepierre,
Strasbourg, France
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2311
Leukemia
676: Bordigoni P, Me
´
decine Infantile II Hopitaux de Barbois
Enfants Vandoeuvre les, Nancy, France
680: Kienast J, Department of Hematol./Oncol. University of
Mu
¨
nster, Mu
¨
nster, Germany
691: Dincer S, Ankara Numune Education and Research
Hospital, Ankara, Turkey
692: Musso M, Ospedale La Maddalena Dapartment
Oncologico Unita
`
Operativa di Oncoematologiae, Palermo,
Italy
704: Orchard K, Haematology, Oncology, & Paediatrics
Department of Haematology, Southampton, United Kingdom
710: Herrmann RP, Hematology Dept., BMT Unit Royal Perth
Hospital, Wellington, St. Perth, Australia
713: Hunter AE, Department of Haematology, Leicester Royal
Infirmary, Leicester, United Kingdom
717: Russell NH, Nottingham City Hospital, Hucknall Road,
Nottingham, United Kingdom
718: Koza V, Department of Hematology/Oncology, Charles
University Hospital, Pilsen, Czech Repub
722: Besalduch J, Hematology Service Hospital Universitari
Son Dureta, Palma de Mallorca, Spain
725: Afanassiev BV, Department of BMT, Centre of
Hematology SPb State I. Pavlov Medical University,
St Petersburg, Russia
727: Caballero D, Servicio de Hematologı´a Hospital Clı´nico
Salamanca, Spain
728: Ferna
´
ndez MN, Clinica Puerta de Hierro Servicio de
Hematologia y Hemoterapia, Madrid, Spain
729: Jebavy L, Charles University Hospital, Department of
Clinical Hematology, Hradec Kra
´
love
´
, Czech Repub
730: Komarnicki M, Department of Hematology K Marcin-
kowski University, Poznan, Poland
731: Wahlin A, Department of Internal Medicine, Umea
University Hospital, Umea, Sweden
734: Martı´nez-Rubio AM, Hospital Infantil La Paz Hemato-
Oncologia Madrid Spain
735: Moraleda Jimenez JM, Hospital Morales Meseguer
Unidad de Trasplante de Me
´
dula Osea, Murcia, Spain
740: Juliusson G, Department of Hematology, University
Hospital, Linko
¨
ping, SWEDEN
744: Noens LA, Haematology and Bloodbank University
Hospital Gent, Gent, Belgium
751: Efremidis A, Hellenic Cancer Institute, St Savvas
Oncology Hospital, Athens, Greece
754: Nagler A, Department of Bone Marrow Transplantation,
Tel-Aviv University, Tel-Hashomer, Israel
759: Gran
˜
ena A, Department of Hematology, Institut Catala
d’Oncologia, Barcelona, Spain
763: Mufti GJ, Department of Haematological Medicine, GKT
School of Medicine, London, United Kingdom
766: Rotoli B, Division of Hematology, ‘Federico II’ Medical
School, Napoli, Italy
778: Vora A, Haematology Department, Sheffield Children’s
Hospital, Sheffield, United Kingdom
780: Chopra R, Department of Haematology, Christie NHS
Trust Hospital, Manchester, United Kingdom
785: Joerg S, Department of Internal Med., BMT Unit
University of Saarland, Hamburg, Germany
786: Kolbe K, III. Medizinische Klinik und Poliklinik,
Johannes-Gutenberg-University, Mainz, Germany
787: Andreesen R, Department of Hematology and Oncology
University, Regensburg, Regensburg, Germany
788: Leoni P, Clinica di Ematologia Ospedale di Torrette,
Ancona-Torrette, Italy
792: Milone G, Ospedale Ferrarotto Divisione Clinicizzata di
Ematologia, Catania, Italy
797: Rodeghiero F, Department of Hematology S Bortolo
Hospital, Vicenza, Italy
799: Hellmann A, BMT Unit, Department of Haematology,
Medical University of Gdansk, Gdansk, Poland
807: Arnold R, Charit Campus, Virchow-Klinkum, Berlin,
Germany
808: Ehninger G, Universitaetsklinikum Dresden Medizi-
nische Klinik und Poliklinik I, Dresden, Germany
809: Gramatzki M, Division of Hematology/Oncology,
Department of Medicine III, University Erlangen, Erlangen,
Germany
810: Finke J, Department of Medicine Hematology,
Oncology University of Freiburg, Freiburg, Germany
813: Bregni M, Hematology and BMT Istituto Scientifico HS
Raffaele, ilano, Italy
816: Rzepecki P, Bone Marrow Transplantation Unit, Military
Medical Academy, Warsaw, Poland
819: Diez-Martin JL, Seccio
´
n de Trasplante de Medula Osea
Hospital GU Gregorio Maranon, Madrid, Spain
823: Hamon MD, Plymouth Hospitals, NHS Trust, Derriford
Hospital, Plymouth, United Kingdom
825: Levis A, SS Antonio e Biagio e C Arrigo Haematology
Department, Alessandria, Italy
941: Tilly H, Centre Henri Becquerel, Rouen, France
954: Wiktor-Jedrzejczak W, Department of Hematology &
Oncology, The Medical University of Warsaw, Warsaw, Poland
Comparative outcome of RIC and MA regimen
M Aoudjhane et al
2312
Leukemia
... Although a prospective, randomized trial 16 reported improved outcomes with MAC, other retrospective studies have suggested similar survival rates. [17][18][19] In the context of PTCy, a retrospective study of the ALWP of the EBMT described a significant reduction of relapse with MAC that translated into improved survival when compared with RIC, 20 suggesting that increasing conditioning intensity in transplant platforms with effective GVHD control, such as with the use of PTCy may be particularly relevant. ...
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There is a paucity of information to guide selection of the most suitable stem cell donor in haploidentical (Haplo) hematopoietic stem cell transplantation (HSCT). For this reason, we conducted a retrospective analysis in order to evaluate the impact of Haplo family donors characteristics on HSCT outcomes in patients with acute myeloid leukemia (AML) who received graft-versus-host disease prophylaxis with post-transplant cyclophosphamide (PTCy). The primary endpoint was GvHD-free and relapse-free survival (GRFS). Overall, 2200 patients were included. The median age of donors was 37 years (range, 8-71), 820 (37%) were females, including 458 (21%) who were used for male recipients. Additionally, 1631 (74%) donated peripheral blood (PB). Multivariable analysis identified certain donor-related risk factors with a detrimental impact on transplant outcomes. The use of PB, older donor´s age and female donors to male recipients negatively affected GRFS. Donor´s age and female donor to male recipient combination also affected non-relapse mortality, leukemia-free survival and overall survival. In conclusion, donor-related variables significantly influence AML patient outcomes following Haplo-HSCT with PTCy. When possible, younger donors and male donors for male recipients should be prioritized. The use of BM can additionally prevent GVHD.
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We report the results of a Phase I radiation dose escalation study using an yttrium-90 (⁹⁰Y) labelled anti-CD66 monoclonal antibody given with standard conditioning regimen for patients receiving haematopoietic stem cell transplants for myeloid leukaemia or myeloma. The ⁹⁰Y-labelled anti-CD66 was infused prior to standard conditioning. In total, 30 patients entered the trial and 29 received ⁹⁰Y-labelled mAb, at infused radiation activity levels of 5, 10, 25, or 37.5 megaBequerel (MBq)/kg lean body weight. A prerequisite for receiving the ⁹⁰Y-labelled mAb was favourable dosimetry determined by single-photon emission computerised tomography (SPECT) dosimetry following administration of indium-111 (¹¹¹In) anti-CD66. Estimated absorbed radiation doses delivered to the red marrow demonstrated a linear relationship with the infused activity of ⁹⁰Y-labelled mAb. At the highest activity level of 37.5 MBq/kg, mean estimated radiation doses for red marrow, liver, spleen, kidneys and lungs were 24.6 ± 5.6 Gy, 5.8 ± 2.7 Gy, 19.1 ± 8.0 Gy, 2.1 ± 1.1 and 2.2 ± 0.9, respectively. All patients engrafted, treatment-related mortality 1-year post-transplant was zero. Toxicities were no greater than those anticipated for similar conditioning regimens without targeted radiation. The ability to substantially intensify conditioning prior to haematopoietic stem cell transplantation without increasing toxicity warrants further testing to determine efficacy. clinicaltrials.gov identifier: NCT01521611.
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Mutation of thetumor suppressor gene, TP53 (tumor protein 53), occurs in up to 15% of all patients with acute myeloid leukemia (AML) and is enriched within specific clinical subsets, most notably in older adults, and including secondary AML cases arising from preceding myeloproliferative neoplasm (MPN), myelodysplastic syndrome (MDS), patients exposed to prior DNA-damaging, cytotoxic therapies. In all cases, these tumors have remained difficult to effectively treat with conventional therapeutic regimens. Newer approaches fortreatmentofTP53-mutated AML have shifted to interventions that maymodulateTP53 function, target downstream molecular vulnerabilities, target non-p53 dependent molecular pathways, and/or elicit immunogenic responses. This review will describe the basic biology of TP53, the clinical and biological patterns of TP53 within myeloid neoplasms with a focus on elderly AML patients and will summarize newer therapeutic strategies and current clinical trials.
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Hematopoietic cell transplantation (HCT) is a potentially curative therapeutic procedure in a broad range of malignant and nonmalignant hematological disorders. Conditioning is the preparative regimen that is administered to patients undergoing HCT before the infusion of stem cell (SC) grafts. The selection of an optimal conditioning regimen is critical for transplantation success.
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Simple Summary This study aimed to create a simple and reliable tool, the CORE HCT score, to predict the chances of non-relapse mortality (NRM) and overall survival (OS) after allogeneic hematopoietic stem cell transplantation (allo-HCT). Using data from 1120 adult patients who had undergone this procedure at our center between 2013 and 2020, we identified specific patient factors affecting NRM: serum albumin, serum creatinine, serum C-reactive protein, heart and lung function, and age. Factors were weighted according to their impact on NRM. The resulting CORE HCT score grouped patients into low-, medium-, and high-risk categories, showing its effectiveness across different conditions and donor types. Notably, compared with the HCT Comorbidity Index (HCT-CI), the CORE HCT score performed better in predicting NRM and OS. The findings were validated in two independent cohorts, which supports the utility of the CORE HCT score in guiding risk assessment for allo-HCT in adult patients with malignant diseases. Abstract We aimed to develop a concise objectifiable risk evaluation (CORE) tool for predicting non-relapse mortality (NRM) and overall survival (OS) after allogeneic hematopoietic stem cell transplantation (allo-HCT). A total of 1120 adult patients who had undergone allo-HCT at our center between 2013 and 2020 were divided into training, first, and second validation cohorts. Objectifiable, patient-related factors impacting NRM in univariate and multivariate analyses were: serum albumin, serum creatinine, serum C-reactive protein (CRP), heart function (LVEF), lung function (VC, FEV1), and patient age. Hazard ratios were assigned points (0–3) based on their impact on NRM and summed to the individual CORE HCT score. The CORE HCT score stratified patients into three distinct low-, intermediate-, and high-risk groups with two-year NRM rates of 9%, 22%, and 46%, respectively, and OS rates of 73%, 55%, and 35%, respectively (p < 0.001). These findings were confirmed in a first and a second recently treated validation cohort. Importantly, the CORE HCT score remained informative across various conditioning intensities, disease-specific subgroups, and donor types, but did not impact relapse incidence. A comparison of CORE HCT vs. HCT Comorbidity Index (HCT-CI) in the second validation cohort revealed better performance of the CORE HCT score with c-statistics for NRM and OS of 0.666 (SE 0.05, p = 0.001) and 0.675 (SE 0.039, p < 0.001) vs. 0.431 (SE 0.057, p = 0.223) and 0.535 (SE 0.042, p = 0.411), respectively. The CORE HCT score is a concise and objectifiable risk evaluation tool for adult patients undergoing allo-HCT for malignant disease. External multicenter validation is underway.
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Background: HLA compatibility predicts allogeneic hematopoietic cell transplant (allo-HCT) and graft-versus-host disease (GvHD) outcomes. There is insufficient information regarding GvHD outcomes for outpatient HLA-identical and haploidentical-HCT employing reduced-intensity conditioning (RIC). Research design and methods: We compare GvHD outcomes between donor types and report risk factors associated with GvHD. Stem cell source was T-cell replete peripheral blood. GvHD prophylaxis was post-transplant cyclophosphamide (PT-CY), mycophenolic acid, and calcineurin inhibitors for haploidentical (n = 107) and oral cyclosporine (CsA) plus methotrexate i.v. for HLA-identical (n = 89) recipients. Results: One hundred and ninety-six HCT transplant patients were included. aGvHD and cGvHD frequency were similar between HCT types. aGvHD severity was comparable, but severe cGvHD was less frequent in the haploidentical group (p = .011). One-hundred-day cumulative incidence (CI) of aGvHD for haploidentical and HLA-identical was 31% and 33% (p = .84); 2-year CI of cGvHD was 32% and 38% (p = .6), respectively. Haploidentical recipients had less steroid-refractory cGvHD (p = .043). Patients with cGvHD had less 2-year relapse (p = .003); both aGvHD and cGvHD conferred higher OS (p = .010 and p = .001), respectively. Male sex was protective for steroid-refractory cGvHD (p = .028). Conclusions: Acute and chronic GvHD rates were comparable between HLA-identical and haploidentical transplant groups. cGvHD severity was lower in the haploidentical group.
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Higher rate of non-relapse mortality (NRM) remains yet to be resolved in umbilical cord blood transplantation (UCBT). Considering that UCBT has some unique features compared with allogeneic hematopoietic cell transplantation from other graft sources, a UCBT-specific NRM risk assessment system is required. Thus, in this study, we sought to develop a UCBT-specific NRM Risk Assessment (CoBRA) score. Using a nationwide registry database, we retrospectively analyzed 4437 recipients who had received their first single-unit UCBT. Using the backward elimination method, we constructed the CoBRA score in a training cohort (n = 2687), which consisted of recipients age ≥ 55 (score 2), hematopoietic cell transplantation-specific comorbidity index (HCT-CI) ≥ 3 (score 2), male recipient, graft-versus-host disease (GVHD) prophylaxis other than tacrolimus in combination with methotrexate, performance status (PS) 2-4, HLA allele mismatch ≥ 2, refined disease risk index (DRI) high-risk, myeloablative conditioning (MAC), and CD34+ cell doses < 0.82 x 105/kg (score 1 in each). The recipients were categorized into three groups: Low (0-4 points), Intermediate (5-7 points), and High (8-11 points) groups according to the CoBRA score. In the validation cohort (n = 1750), the cumulative incidence of NRM at 2 years was 14.9%, 25.5%, and 47.1% (P < 0.001), and 2-year overall survival (OS) was 74.2%, 52.7%, and 26.3% (P < 0.001) in the Low, Intermediate, and High groups, respectively. In summary, the CoBRA score could predict the NRM risk as well as OS after UCBT. Further external validation will be needed to confirm the significance of the CoBRA score.
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Background: Allogeneic hematopoietic stem cell transplantation (HSCT) was not actively performed in elderly acute myeloid leukemia (AML) or myelodysplastic syndrome patients who are at a high-risk based on hematopoietic cell transplantation-specific comorbidity index (HCT-CI). The advent of reduced-intensity conditioning (RIC) regimens has made HSCT applicable in this population. However, the selection of appropriate conditioning is a major concern for the attending physician. The benefits of combination of treosulfan and fludarabine (Treo/Flu) have been confirmed through many clinical studies. Korean data on treosulfan-based conditioning regimen are scarce. Methods: A retrospective study was conducted to compare the clinical outcomes of allogeneic HSCT using RIC between 13 patients receiving Treo/Flu and 39 receiving busulfan/fludarabine (Bu/Flu). Results: In terms of conditioning-related complications, the frequency of ≥ grade 2 nausea or vomiting was significantly lower and the duration of symptoms was shorter in the Treo/Flu group than in the Bu/Flu group. The incidence of ≥ grade 2 mucositis tended to be lower in the Treo/Flu group. In the analysis of transplant outcomes, all events of acute graft versus host disease (GVHD) and ≥ grade 2 acute GVHD occurred more frequently in the Treo/Flu group. The frequency of Epstein-Barr virus reactivation was significantly higher in the Treo/Flu group (53.8% vs. 23.1%, P = 0.037). Non-relapse mortality (NRM) at 12 months was higher in the Treo/Flu group (30.8% vs. 7.7%, P = 0.035). Significant prognostic factors included disease type, especially secondary AML, disease status and high-risk based on HCT-CI, ≥ grade 2 acute GVHD, and cases requiring ≥ 2 immunosuppressive drugs for treating acute GVHD. In the comparison of survival outcomes according to conditioning regimen, the Bu/Flu group seemed to show better results than the Treo/Flu group (60% vs. 46.2%, P = 0.092 for overall survival; 56.4% vs. 38.5%, P = 0.193 for relapse-free survival). In additional analysis for only HCT-CI high-risk groups, there was no difference in transplant outcomes except that the Treo/Flu group tended to have a higher NRM within one year after transplantation. Survival outcomes of both groups were similar. Conclusion: This study suggests that Treo/Flu conditioning may be an alternative to Bu/Flu regimen in elderly patients with high-risk who are not suitable for standard conditioning.
Article
Introduction: Fludarabine, a purine analog, is getting more attention with the increasing use of reduced intensive conditioning regimens in allogeneic hematopoietic stem cell transplantation (allo-HSCT). The side effect of bradycardia was observed in only a few cases reported in the literature. In clinical practice, bradycardia can be asymptomatic or cause syncope and cardiac arrest. This study aimed to evaluate the bradycardia side effect of fludarabine used in the conditioning regimen in allo-HSCT recipients and to increase awareness of this issue. Methods: This retrospective study included 73 patients who received fludarabine in the allo-HSCT conditioning regimen between January 2015 and January 2021. Patients with and without bradycardia were compared regarding demographic data, allo-HSCT characteristics, electrolyte values, fludarabine administration dose and duration, and survival. Univariate and multivariate analyzes were performed to evaluate independent predictors for fludarabine-induced bradycardia. Results: Fludarabine administration doses and days were higher in the bradycardia group, but no statistically significant difference was observed. In the multivariate analysis, age was the only independent predictor of fludarabine-induced bradycardia (odds ratio (OR) 0.93, 95% confidence interval (CI): 0.89-0.98, p = 0.007). The median age in the group with bradycardia was 19 years younger than those without bradycardia (34 (19-49) vs 53 (19-69), p = 0.005). In 11 (84.6%) of the patients who had bradycardia, bradycardia improved with the discontinuation of fludarabine alone, but atropine was administered in 2 (15.4%) patients. Conclusion: Age was the only independent predictor of fludarabine-induced bradycardia; therefore, close heart rate monitoring is recommended during fludarabine administration, especially in younger patients.
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Nursing research is a systematic inquiry that uses disciplined methods to answer questions or solve problems in order to expand the knowledge base within a given field. There are various issues to address in order to complete a successful study. The aim of this chapter is to provide the reader with an overview of the key topics for consideration and give guidance as to where to go for further information. Providing best care to patients undergoing HSCT is the moral and ethical duty of all nurses. As a consequence, awareness of, and involvement in, research as the vehicle to ensuring best practice is also our moral duty.
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To determine whether graft-versus-leukemia (GVL) reactions are important in preventing leukemia recurrence after bone marrow transplantation, we studied 2,254 persons receiving HLA-identical sibling bone marrow transplants for acute myelogenous leukemia (AML) in first remission, acute lymphoblastic leukemia (ALL) in first remission, and chronic myelogenous leukemia (CML) in first chronic phase. Four groups were investigated in detail: recipients of non--T-cell depleted allografts without graft-versus-host disease (GVHD), recipients of non--T-cell depleted allografts with GVHD, recipients of T-cell depleted allografts, and recipients of genetically identical twin transplants. Decreased relapse was observed in recipients of non--T-cell depleted allografts with acute (relative risk 0.68, P = .03), chronic (relative risk 0.43, P = .01), and both acute and chronic GVDH (relative risk 0.33, P = .0001) as compared with recipients of non--T-cell depleted allografts without GVHD. These data support an antileukemia effect of GVHD. AML patients who received identical twin transplants had an increased probability of relapse (relative risk 2.58, P = .008) compared with allograft recipients without GVHD. These data support an antileukemia effect of allogeneic grafts independent of GVHD. CML patients who received T-cell depleted transplants with or without GVHD had higher probabilities of relapse (relative risks 4.45 and 6.91, respectively, P = .0001) than recipients of non--T-cell depleted allografts without GVHD. These data support an antileukemia effect independent of GVHD that is altered by T-cell depletion. These results explain the efficacy of allogeneic bone marrow transplantation in eradicating leukemia, provide evidence for a role of the immune system in controlling human cancers, and suggest future directions to improve leukemia therapy.
Article
Myeloablative conditioning associated with hazardous immediate and late complications is considered as a mandatory first step in preparation for allogeneic blood or marrow transplantation (allogeneic BMT) for the treatment of malignant hematologic disorders and genetic diseases. Immune-mediated graft-versus-leukemia (GVL) effects constitute the major benefit of allogeneic BMT. Therefore, we have introduced the use of relatively nonmyeloablative conditioning before allogeneic BMT aiming for establishing host-versus-graft tolerance for engraftment of donor immunohematopoietic cells for induction of GVL effects to displace residual malignant or genetically abnormal host cells. Our preliminary data in 26 patients with standard indications for allogeneic BMT, including acute leukemia (n = 10); chronic leukemia (n = 8), non-Hodgkin's lymphoma (n = 2), myelodysplastic syndrome (n = 1), multiple myeloma (n = 1), and genetic diseases (n = 4) suggest that nonmyeloablative conditioning including fludarabine, anti–T-lymphocyte globulin, and low-dose busulfan (8 mg/kg) is extremely well tolerated, with no severe procedure-related toxicity. Granulocyte colony-stimulating factor mobilized blood stem cell transplantation with standard dose of cyclosporin A as the sole anti-graft-versus-host disease (GVHD) prophylaxis resulted in stable partial (n = 9) or complete (n = 17) chimerism. In 9 patients absolute neutrophil count (ANC) did not decrease to below 0.1 × 109/L whereas 2 patients never experienced ANC <0.5 × 109/L. ANC ≥ 0.5 × 109/L was accomplished within 10 to 32 (median, 15) days. Platelet counts did not decrease to below 20 × 109/L in 4 patients requiring no platelet support at all; overall platelet counts >20 × 109/L were achieved within 0 to 35 (median 12) days. Fourteen patients experienced no GVHD at all; severe GVHD (grades 3 and 4) was the single major complication and the cause of death in 4 patients, occurring after early discontinuation of cyclosporine A. Relapse was reversed by allogeneic cell therapy in 2/3 cases, currently with no residual host DNA (male) by cytogenetic analysis and polymerase chain reaction. To date, with an observation period extending over 1 year (median 8 months), 22 of 26 patients (85%) treated by allogeneic nonmyeloablative stem cell transplantation are alive, and 21 (81%) are disease-free. The actuarial probability of disease-free survival at 14 months is 77.5% (95% confidence interval, 53% to 90%). Successful eradication of malignant and genetically abnormal host hematopoietic cells by allogeneic nonmyeloablative stem cell transplantation represents a potential new approach for safer treatment of a large variety of clinical syndromes with an indication for allogeneic BMT. Transient mixed chimerism which may protect the host from severe acute GVHD may be successfully reversed postallogeneic BMT with graded increments of donor lymphocyte infusions, thus resulting in eradication of malignant or genetically abnormal progenitor cells of host origin.
Article
To determine whether graft-versus-leukemia (GVL) reactions are important in preventing leukemia recurrence after bone marrow transplantation, we studied 2,254 persons receiving HLA-identical sibling bone marrow transplants for acute myelogenous leukemia (AML) in first remission, acute lymphoblastic leukemia (ALL) in first remission, and chronic myelogenous leukemia (CML) in first chronic phase. Four groups were investigated in detail: recipients of non--T-cell depleted allografts without graft-versus-host disease (GVHD), recipients of non-- T-cell depleted allografts with GVHD, recipients of T-cell depleted allografts, and recipients of genetically identical twin transplants. Decreased relapse was observed in recipients of non--T-cell depleted allografts with acute (relative risk 0.68, P = .03), chronic (relative risk 0.43, P = .01), and both acute and chronic GVDH (relative risk 0.33, P = .0001) as compared with recipients of non--T-cell depleted allografts without GVHD. These data support an antileukemia effect of GVHD. AML patients who received identical twin transplants had an increased probability of relapse (relative risk 2.58, P = .008) compared with allograft recipients without GVHD. These data support an antileukemia effect of allogeneic grafts independent of GVHD. CML patients who received T-cell depleted transplants with or without GVHD had higher probabilities of relapse (relative risks 4.45 and 6.91, respectively, P = .0001) than recipients of non--T-cell depleted allografts without GVHD. These data support an antileukemia effect independent of GVHD that is altered by T-cell depletion. These results explain the efficacy of allogeneic bone marrow transplantation in eradicating leukemia, provide evidence for a role of the immune system in controlling human cancers, and suggest future directions to improve leukemia therapy.
Article
With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption. Unfortunately, the cause-specific hazard function does not have a direct interpretation in terms of survival probabilities for the particular failure type. In recent years many clinicians have begun using the cumulative incidence function, the marginal failure probabilities for a particular cause, which is intuitively appealing and more easily explained to the nonstatistician. The cumulative incidence is especially relevant in cost-effectiveness analyses in which the survival probabilities are needed to determine treatment utility. Previously, authors have considered methods for combining estimates of the cause-specific hazard functions under the proportional hazards formulation. However, these methods do not allow the analyst to directly assess the effect of a covariate on the marginal probability function. In this article we propose a novel semiparametric proportional hazards model for the subdistribution. Using the partial likelihood principle and weighting techniques, we derive estimation and inference procedures for the finite-dimensional regression parameter under a variety of censoring scenarios. We give a uniformly consistent estimator for the predicted cumulative incidence for an individual with certain covariates; confidence intervals and bands can be obtained analytically or with an easy-to-implement simulation technique. To contrast the two approaches, we analyze a dataset from a breast cancer clinical trial under both models.
Article
Objective. —To determine whether age over 40 years is associated with adverse outcome after allogeneic bone marrow transplantation for leukemia.Design. —A retrospective analysis of outcome after bone marrow transplants for leukemia reported to the International Bone Marrow Transplant Registry (IBMTR) among recipients 30 through 39 years, 40 through 44 years, 45 through 49 years, and 50 years of age and older.Setting. —Transplantations performed in 138 institutions worldwide and reported to the IBMTR.Patients. —A total of 2180 recipients of HLA-identical sibling bone marrow transplants for leukemia, divided into four cohorts based on age: 30 through 39 years (n=1282), 40 through 44 years (n=527), 45 through 49 years (n=291), and 50 years and older (n=80).Main Outcome Measures and Results. —Incidence of leukemia-free survival, graft-vs-host disease, and relapse was comparable among the four age cohorts. Patients with advanced leukemia aged 45 years or older had a slightly higher risk of treatment-related mortality, and the 45- through 49-year-old cohort had a higher risk of interstitial pneumonia.Conclusions. —These data indicate that among leukemia patients over 30 years of age at the time of allogeneic bone marrow transplantation, increasing age into the fifth decade does not adversely affect outcome after transplants from HLA-identical siblings.(JAMA. 1993;270:57-60)
Article
With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption. Unfortunately, the cause-specific hazard function does not have a direct interpretation in terms of survival probabilities for the particular failure type. In recent years many clinicians have begun using the cumulative incidence function, the marginal failure probabilities for a particular cause, which is intuitively appealing and more easily explained to the nonstatistician. The cumulative incidence is especially relevant in cost-effectiveness analyses in which the survival probabilities are needed to determine treatment utility. Previously, authors have considered methods for combining estimates of the cause-specific hazard functions under the proportional hazards formulation. However, these methods do not allow the analyst to directly assess the effect of a covariate on the marginal probability function. In this article we propose a novel semiparametric proportional hazards model for the subdistribution. Using the partial likelihood principle and weighting techniques, we derive estimation and inference procedures for the finite-dimensional regression parameter under a variety of censoring scenarios. We give a uniformly consistent estimator for the predicted cumulative incidence for an individual with certain covariates; confidence intervals and bands can be obtained analytically or with an easy-to-implement simulation technique. To contrast the two approaches, we analyze a dataset from a breast cancer clinical trial under both models.
Article
Background There is increasing pressure for the recognition and replication of good clinical practice. We undertook a study to assess the variability in outcome of allogeneic bone-marrow transplantation among major European centres. Methods We studied 13 centres, including 522 patients (aged 16–55 years), which had undertaken more than 30 bone-marrow transplantations between Jan 1, 1987, and Dec 31, 1995, for acute myeloid leukaemia in first complete remission. We undertook a (global) multivariate analysis of all factors known previously to influence outcome and a stratified analysis that initially defined, by multivariate analysis, significant variables in this study and then used a proportional-hazard model including centres. Findings The overall results at 3 years were 57% (95% Cl 53–61) for leukaemia-free survival (LFS), 23% (19–27) for relapse incidence (RI), and 26% (22–30) for treatment-related mortality (TRM) with a range for centres of 36–75%, 10–37%, and 8–54%, respectively. Both methods of analysis showed the centre effect to be highly significant for LFS and TRM, but not for RI. Variables associated with a significantly poor outcome were age over 43 years (p=0·01), time from diagnosis to first complete remission longer than 65 days (p=0·02), and centre (p=0·013) for LFS, and age over 43 years (p=0·023), time from first complete remission to transplantation of longer than 93 days (p=0·03), and centre (p=0·001) for TRM. Moreover, different centres had different prognostic criteria for good-risk or bad-risk patients indicating that risk factors do not have the same impact in each individual centre. Interpretation The outcome of bone-marrow transplantation for acute myeloid leukaemia in first complete remission is influenced by the centre in which the procedure is done, even with adjustment for known prognostic risk factors. Significant prognostic factors vary among centres, which means that the relative risk is not the same in each individual centre. However, centres may treat populations with different risks of as yet unidentified prognostic factors. Experience may partly account for the difference in outcome among centres.
Article
To determine whether age over 40 years is associated with adverse outcome after allogeneic bone marrow transplantation for leukemia. A retrospective analysis of outcome after bone marrow transplants for leukemia reported to the International Bone Marrow Transplant Registry (IBMTR) among recipients 30 through 39 years, 40 through 44 years, 45 through 49 years, and 50 years of age and older. Transplantations performed in 138 institutions worldwide and reported to the IBMTR. A total of 2180 recipients of HLA-identical sibling bone marrow transplants for leukemia, divided into four cohorts based on age: 30 through 39 years (n = 1282), 40 through 44 years (n = 527), 45 through 49 years (n = 291), and 50 years and older (n = 80). Incidence of leukemia-free survival, graft-vs-host disease, and relapse was comparable among the four age cohorts. Patients with advanced leukemia aged 45 years or older had a slightly higher risk of treatment-related mortality, and the 45- through 49-year-old cohort had a higher risk of interstitial pneumonia. These data indicate that among leukemia patients over 30 years of age at the time of allogeneic bone marrow transplantation, increasing age into the fifth decade does not adversely affect outcome after transplants from HLA-identical siblings.
Article
We analyzed retrospectively data from 1696 patients with AML transplanted in Europe from January 1987 to December 1992 and reported to the acute leukemia EBMT registry. Groups of patients were analyzed according to age (adults and children) and status at transplant (first remission = CR1; second remission = CR2). (1) 1114 adult patients were transplanted in CR1; 516 received an allograft; 598 received an autograft. Following alloBMT, the transplant-related mortality (TRM) was significantly higher (27 vs 13%, P < 10(-4)), the relapse incidence (RI) lower (25 vs 52%, P < 10(-4)) and the leukemia-free survival (LFS) better (55 vs 42%, P = 0.006). Favorable prognostic factors for alloBMT were a FAB type other than M4-M5, a donor-recipient combination excluding a female donor to a male recipient, and a younger age. Favorable prognostic factors for ABMT were a younger age of the patients at time of transplant, the AML3 FAB type, and a longer interval from CR1 to ABMT. (2) 288 adult patients were transplanted in CR2: 98 received an allograft; 190 received an autograft. The TRM was higher following allogeneic BMT (32 vs 20%, P = 0.02) and the RI lower (42 vs 63%, P = 0.001). The LFS was not significantly different (alloBMT: 39%; ABMT: 30%, P = 0.22). (3) 242 children were transplanted in CR1; 129 received an allograft; 113 received an autograft. Following alloBMT, the RI was lower (25 + 5 vs 48 + 6%, P < 10(-4)), and the LFS better (68 vs 47%, P = 0.002). The use of TBI was a favorable prognostic factor in allografted patients with a lower RI and a better LFS. (4) The number of children transplanted in CR2 was too small for a comparative analysis. These results confirm that both allogeneic and autologous BMT are suitable curative approaches for AML. They favor the use of an HLA identical related allogeneic transplant when available, especially in younger patients, over ABMT with unpurged marrow. The role of purging in ABMT could not be addressed in this study.