Literature DB >> 31647022

Measurable residual disease at myeloablative allogeneic transplantation in adults with acute lymphoblastic leukemia: a retrospective registry study on 2780 patients from the acute leukemia working party of the EBMT.

Jiří Pavlů1, Myriam Labopin2, Riitta Niittyvuopio3, Gerard Socié4, Ibrahim Yakoub-Agha5, Depei Wu6, Peter Remenyi7, Jakob Passweg8, Dietrich W Beelen9, Mahmoud Aljurf10, Nicolaus Kröger11, Hélène Labussière-Wallet12, Zinaida Perić13, Sebastian Giebel14, Arnon Nagler15, Mohamad Mohty2.   

Abstract

BACKGROUND: Assessment of measurable residual disease (MRD) is rapidly transforming the therapeutic and prognostic landscape of a wide range of hematological malignancies. Its prognostic value in acute lymphoblastic leukemia (ALL) has been established and MRD measured at the end of induction is increasingly used to guide further therapy. Although MRD detectable immediately before allogeneic hematopoietic cell transplantation (HCT) is known to be associated with poor outcomes, it is unclear if or to what extent this differs with different types of conditioning.
METHODS: In this retrospective registry study, we explored whether measurable residual disease (MRD) before allogeneic hematopoietic cell transplantation (HCT) for acute lymphoblastic leukemia is associated with different outcomes in recipients of myeloablative total body irradiation (TBI)-based versus chemotherapy-based conditioning. We analyzed outcomes of 2780 patients (median age 38 years, range 18-72) who underwent first HCT in complete remission between 2000 and 2017 using sibling or unrelated donors.
RESULTS: In 1816 of patients, no disease was detectable, and in 964 patients, MRD was positive. Conditioning was TBI-based in 2122 (76%) transplants. In the whole cohort MRD positivity was a significant independent factor for lower overall survival (OS) and leukemia-free survival (LFS), and for higher relapse incidence (RI), with respective hazard ratios (HR, 95% confidence intervals) of 1.19 (1.02-1.39), 1.26 (1.1-1.44), and 1.51 (1.26-1.8). TBI was associated with a higher OS, LFS, and lower RI with HR of 0.75 (0.62-0.90), 0.70 (0.60-0.82), and 0.60 (0.49-0.74), respectively. No significant interaction was found between MRD status and conditioning. When investigating the impact of MRD separately in the TBI and chemotherapy-based conditioning cohorts by multivariate analysis, we found MRD positivity to be associated with lower OS and LFS and higher RI in the TBI group, and with higher RI in the chemotherapy group. TBI-based conditioning was associated with improved outcomes in both MRD-negative and MRD-positive patients.
CONCLUSIONS: In this large study, we confirmed that patients who are MRD-negative prior to HCT achieve superior outcomes. This is particularly apparent if TBI conditioning is used. All patients with ALL irrespective of MRD status benefit from TBI-based conditioning in the myeloablative setting.

Entities:  

Keywords:  Acute lymphoblastic leukemia; Allogeneic; Allogeneic hematopoietic cell transplantation; Measurable residual disease; Myeloablative conditioning; Total body irradiation

Mesh:

Substances:

Year:  2019        PMID: 31647022      PMCID: PMC6813121          DOI: 10.1186/s13045-019-0790-x

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


Background

Assessment of measurable residual disease (MRD) is rapidly transforming the therapeutic and prognostic landscape of a wide range of hematological malignancies. Its prognostic value in acute lymphoblastic leukemia (ALL) has been established and MRD measured post-induction or consolidation is increasingly used to guide further therapy [1]. The prognostic value of MRD measured prior to allogeneic hematopoietic cell transplantation (HCT) on its outcomes was first observed in small retrospective [2, 3] and prospective [4] studies of children and adolescents and later also in adults [5-7], and confirmed in a recent meta-analysis [8]. However, it remains unclear if or to what extent the choice of conditioning regimen impacts on this. We have recently studied the interaction of myeloablative versus reduced-intensity conditioning and MRD in acute myeloid leukemia [9]. As ALL patients rarely receive reduced-intensity conditioning, we explored if MRD detectable before allogeneic HCT for ALL is associated with different outcomes in recipients of myeloablative total body irradiation (TBI)-based versus chemotherapy-based conditioning.

Methods

Study design and data collection

This was a multicenter, retrospective registry analysis, approved by the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation (EBMT). The EBMT is a voluntary group that represents more than 600 transplant centers, predominantly European. EBMT centers pay annual subscriptions to maintain the EBMT Registry. EBMT Med A/B standardized data collection forms [10] are submitted to the registry by transplant center personnel following written informed consent from patients in accordance with center ethical research guidelines. Accuracy of data is assured by the individual transplant centers and by quality control measures such as regular internal and external audits. Presence of Philadelphia chromosome status was collected. The results of disease assessments at HCT were also submitted and form the basis of this report. Eligibility criteria were age 18 years or older, a diagnosis of de novo ALL, disease status at transplant of morphological first complete remission supplemented by a report of MRD status, recipients of first myeloablative HCT during the study period 2000 to 2017, a stem cell source that was either unmanipulated peripheral blood stem cells or bone marrow and a donor that was a sibling or unrelated 9/10 or 10/10 matched. Table 1 provides numbers of patients fulfilling the inclusion criteria and availability of required information in the EBMT database. MRD methodology and allocation to MRD-negative or MRD-positive groups were determined by individual participating centers and utilized molecular and/or immunophenotyping criteria. An additional audit of methods used in the EBMT centers contributing to the study showed that 34 of 56 centers (61%) used both PCR-based and immunophenotyping-based techniques. PCR-based techniques only were used in 11 centers and immunophenotyping only also in 11 centers (19.6%). All centers but one regarded an MRD level of 10−4 or lower as negative (for one center this was less than 10−3). Intensity of conditioning was allocated in accordance with published criteria [11].
Table 1

Numbers of patients fulfilling the inclusion criteria with required information

Inclusion criteria N
Adults with ALL in CR1 or CR2 allografted from MSD or UD 10/10 or UD 9/10 from January 2000 to December 201710,418
Myeloablative conditioning8400
Available information
 Immunophenotype B or T and Philadelphia status5540
 MRD status before transplantation reported2780
Numbers of patients fulfilling the inclusion criteria with required information

Statistical methods

Measured outcomes were leukemia-free survival (LFS), relapse incidence (RI), non-relapse mortality (NRM), overall survival (OS), acute graft-vs-host disease (aGVHD), chronic graft-vs-host-disease (cGVHD), and GVHD-free and relapse-free survival (GRFS). LFS was defined as survival with no evidence of relapse or progression. Relapse was defined as a reappearance of blasts in the blood or bone marrow (> 5%) or in any extramedullary site. NRM was defined as death without evidence of relapse or progression. OS was defined as the time from HCT to death, regardless of the cause. GRFS was defined as survival free of events including grade 3–4 aGVHD, extensive cGVHD, relapse, or death [12]. Probabilities of OS, LFS, and GRFS were calculated using the Kaplan-Meier method. Cumulative incidence was used to estimate the endpoints of NRM, RI, aGVHD, and cGVHD to accommodate competing risks. To study aGVHD and cGVHD, we considered relapse and death to be competing risks. Univariate analyses were done using Gray’s test for cumulative incidence functions and the log-rank test for OS, GRFS, and LFS. A Cox proportional hazards model was used for multivariate regression. All variables differing significantly between the two groups or factors known to influence outcomes were included in the Cox model. In order to test for a center effect, we introduced a random effect or frailty for each center into the model [13, 14]. Results were expressed as the hazard ratio (HR) with the 95% confidence interval (95% CI). The type I error rate was fixed at 0.05 for the determination of factors associated with time-to-event outcomes. After analysis of the whole group, two separate planned sub-analyses of TBI-based conditioning and chemotherapy only conditioning were made. Statistical analyses were performed with SPSS 24.0 (SPSS Inc., Chicago, IL) and R 3.4.1 (R Core Team 2017) [15].

Results

Demographics and transplant details

A total of 2780 patients from 301 transplant centers were eligible. Median age at transplantation was 38 years (range 18–72). In 1816 (65%) of patients, no disease was detectable, and in 964 (35%) patients, MRD was positive. Conditioning was TBI-based in 2122 (76%) transplants and chemotherapy-based in 658 (24%) transplants. Details of patient and transplant characteristics by MRD status are summarized in Table 2. More patients with Philadelphia chromosome-positive B-ALL were MRD-positive at transplantation (66 versus 49%, P < .001). Patients who were MRD-negative at the time of transplantation were less likely to receive donor lymphocytes after the procedure (7% versus 12%, P < .001). With a medium follow-up of 42 months the probability of OS, LFS, GRSF, and RI at 2 years for the whole cohort was 65% (95% CI 63–70), 55% (95% CI 53–57), 42% (95% CI 39–44), and 27% (95% CI 25–29), respectively.
Table 2

Demographics and transplant details

CharacteristicMRD negativeMRD positive P
N 1816964
Median follow-up, (months, IQR)39.70 (12.89–84.20)44.56 (16.07–82.07)0.410
Median age (years, range, IQR)36 (18–70, 26–46)38 (18–72, 28–48)< 0.001
Median time dg to HCT (months, range, IQR)5.7 (1.9–130, 4.6–8)5.6 (2.3–123, 4.5–7.7)0.182
Median year of HCT (range)2012 (2000–2017)2012 (2000–2017)0.687
Median donor age (years, range, IQR, missing)34 (4–73, 26–44, 643)35 (10–72, 27–44, 293)0.080
In vivo TCD0.221
 No in vivo TCD1099 (62%)565 (60%)
 In vivo TCD670 (38%)381 (40%)
 Data missing4718
Remission status at HCT0.518
 CR11580 (87%)847 (88%)
 CR2236 (13%)117 (12%)
ALL subtype< 0.001
 B-ALL Ph-negative479 (26%)181 (19%)
 B-ALL Ph-positive882 (49%)639 (66%)
 T-ALL455 (25%)144 (15%)
Karnofsky score at HCT0.203
 < 80%60 (4%)41 (5%)
 > =80%1639 (96%)861 (95%)
 Data missing11762
Engraftment0.459
 Engrafted1732 (98%)925 (99%)
 Graft failure29 (1.7%)12 (1.3%)
 Data missing5527
Source of stem cells0.008
 Bone marrow409 (23%)261 (27%)
 Blood1407 (78%)703 (73%)
Donor type0.268
 Matched sibling1041 (57%)531 (55%)
 Unrelated 10/10 match575 (32%)308 (32%)
 Unrelated 9/10 match200 (11%)125 (13%)
Conditioning0.628
 Chemotherapy-based435 (24%)223 (23%)
 TBI containing1381 (76%)741 (77%)
Patient sex0.285
 Male1097 (60%)603 (63%)
 Female717 (40%)361 (37%)
 Data missing20
Donor sex0.267
 Male1107 (62%)606 (64%)
 Female693 (39%)346 (36%)
 Data missing1612
Donor–recipient sex mismatch0.411
 Female to male391 (22%)195 (20%)
 Other1409 (78%)762 (80%)
 Data missing167
Patient CMV serology0.950
 Negative637 (37%)342 (37%)
 Positive1090 (63%)582 (63%)
 Data missing8940
Donor CMV serology0.690
 Negative790 (46%)414 (45%)
 Positive927 (54%)502 (55%)
 Data missing9948
CMV donor/recipient0.975
 Negative to negative450 (27%)239 (27%)
 Positive to negative176 (10%)99 (11%)
 Negative to positive317 (19%)166 (18%)
 Positive to positive743 (44%)398 (44%)
 Data missing13062
HCT-comorbidity index0.128
 1 or 2529 (85%)271 (81%)
 > =392 (15%)62 (19%)
 Data missing1195631
GVHD prevention0.054
 Cyclosporin124 (7%)60 (6%)
 Cyclosporin and MTX1247 (70%)702 (74%)
 Cyclosporin and MMF ± MTX181 (10%)101 (11%)
 Tacrolimus ± other115 (7%)41 (4%)
 Other103 (6%)41 (4%)
 Data missing4619
Acute GVHD0.139
 Grade 0–I1156 (67%)594 (64%)
 Grade II–IV564 (33%)329 (36%)
 Data missing9641
Donor lymphocyte infusion< 0.001
 None received1681 (93%)846 (88%)
 Pre-emptive36 (2%)48 (5%)
 After relapse97 (5%)67 (7%)
 Data missing23

Abbreviations: CR complete remission, CMV cytomegalovirus, GVHD graft-versus-host disease, HCT hematopoietic cell transplantation, IQR interquartile range, dg diagnosis, MMF mycophenolate mofetil, MTX methotrexate; MRD measurable residual disease, Ph Philadelphia chromosome/BCR-ABL gene rearrangement, TCD T cell depletion

Demographics and transplant details Abbreviations: CR complete remission, CMV cytomegalovirus, GVHD graft-versus-host disease, HCT hematopoietic cell transplantation, IQR interquartile range, dg diagnosis, MMF mycophenolate mofetil, MTX methotrexate; MRD measurable residual disease, Ph Philadelphia chromosome/BCR-ABL gene rearrangement, TCD T cell depletion

Univariate analysis

Compared to MDR-negative status MRD-positive status at the time of transplantation was associated with significantly worse probability of OS (61% versus 67%), LFS (50% versus 58%), GRFS (35% versus 45%), and with higher RI (32% versus 24%) at 2 years post-transplantation. The full results of univariate analysis are summarized in Additional file 2.

Multivariate analysis

The results of multivariate analysis by Cox regression showed MRD positivity was a significant independent factor for lower survival and LFS, and for higher RI, with respective HR of 1.19 (95% CI 1.02–1.39), 1.26 (95% CI 1.1–1.44), and 1.51 (95% CI 1.26–1.8). Of the potentially modifiable factors, use of TBI-based conditioning was associated with a higher OS, LFS, and lower RI with HR of 0.75 (95% CI 0.62–0.90), 0.70 (95% CI 0.60–0.82), and 0.60 (95% CI 0.49–0.74), respectively. Use of in vivo T cell depletion was associated with decreased NRM, improved GRFS, lower incidence acute grade II–IV, grade III–IV, chronic, and extensive chronic GVHD, with HR of 0.68 (95% CI 0.52–0.88), 0.75 (95% CI 0.64–0.88), 0.72 (95% CI 0.59–0.89), 0.51 (95% CI 0.35–0.75), 0.58 (95% CI 0.47–0.71), and 0.48 (95% CI 0.36–0.64), respectively. The prognostic impact of MRD status did not differ significantly according to the conditioning. Results of multivariate analysis of the whole cohort are summarized in Table 3.
Table 3

Multivariate analysis of factors determining outcomes at 2 years

N = 2156RINRMLFSOSGRFSAcute GVHD II-IVAcute GVHD III-IVChronic GVHDExtensive cGVHD
HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P HR (95% CI) P
MRD pos vs neg1.51 (1.26–1.80)< 0.0010.99 (0.80–1.23)0.9281.26 (1.10–1.44)0.0011.19 (1.02–1.39)0.0281.25 (1.10–1.41)< 0.0011.12 (0.96–1.32)0.1611.09 (0.80–1.48)0.5851.00 (0.85–1.18)0.9960.99 (0.79–1.24)0.949
Ph neg B-ALL111111111
Ph pos B-ALL0.94 (0.75–1.18)0.6091.43 (1.07–1.91)0.0151.12 (0.94–1.33)0.1980.94 (0.72–1.14)0.5311.02 (0.87–1.19)0.8180.96 (0.79–1.17)0.6630.87 (0.61–1.25)0.4560.95 (0.78–1.16)0.6371.08 (0.82–1.42)0.578
T-ALL1.11 (0.86–1.43)0.4451.11 (0.78–1.58)0.5541.13 (0.92–1.39)0.2461.06 (0.85–1.33)0.6111.03 (0.86–1.25)0.7201.10 (0.87–1.39)0.4290.84 (0.54–1.30)0.4400.84 (0.66–1.06)0.1381.01 (0.73–1.41)0.938
Age (per 10 years)1.03 (0.96–1.11)0.3691.32 (1.22–1.42)< 0.0011.15 (1.09–1.21)< 0.0011.21 (1.14–1.28)< 0.0011.12 (1.06–1.18)< 0.0011.08 (1.01–1.15)0.0191.09 (0.97–1.22)0.1701.07 (1.01–1.14)0.0251.06 (0.97–1.15)0.218
Year of HCT0.97 (0.95–0.99)0.0420.97 (0.94–1.00)0.0530.97 (0.95–0.99)0.0050.98 (0.95–0.10)0.0300.99 (0.97–1.00)0.0960.98 (0.96–0.10)0.0320.97 (0.93–1.01)0.1730.97 (0.94–0.99)0.0021.01 (0.98–1.04)0.628
CR2 vs CR12.29 (1.83–2.88)< 0.0011.63 (1.2–2.23)0.0022.02 (1.68–2.42)< 0.0012.11 (1.72–2.59)< 0.0011.70 (1.43–2.03)< 0.0011.21 (0.97–1.52)0.0961.58 (1.06–2.36)0.0251.07 (0.82–1.40)0.6041.19 (0.82–1.73)0.358
KPS > =90%1.09 (0.88–1.35)0.4181.14 (0.89–1.47)0.2971.12 (0.95–1.31)0.1731.01 (0.85–1.21)0.8961.03 (0.90–1.19)0.6480.98 (0.82–1.18)0.8390.97 (0.69–1.36)0.8411.02 (0.85–1.22)0.8261.08 (0.84–1.39)0.543
UD 10/100.66 (0.52–0.83)< 0.0011.91 (1.45–2.51)< 0.0011.02 (0.86–1.22)0.7931.24 (1.01–1.51)0.0381.14 (0.97–1.34)0.1251.66 (1.35–2.05)< 0.0012.02 (1.38–2.95)< 0.0011.39 (1.14–1.70)0.0011.26 (0.96–1.66)0.099
UD 9/100.57 (0.42–0.81)0.0012.10 (1.49–2.98)< 0.0011.01 (0.80–1.27)0.9421.31 (1.01–1.69)0.0431.02 (0.82–1.26)0.8761.73 (1.33–2.26)< 0.0011.75 (1.04–2.94)0.0351.32 (1.01–1.73)0.0421.07 (0.73–1.59)0.716
Blood vs BM0.90 (0.73–1.10)0.2881.07 (0.83–1.38)0.6070.95 (0.82–1.11)0.5340.39 (0.77–1.12)0.4321.17 (1.01–1.36)0.0431.08 (0.88–1.33)0.4501.14 (0.79–1.65)0.4961.44 (1.18–1.76)< 0.0011.83 (1.37–2.45)< 0.001
Female vs male0.80 (0.67–0.96)0.0180.93 (0.75–1.16)0.5310.86 (0.75–0.99)0.0310.86 (0.74–1.01)0.0620.88 (0.77–0.99)0.0390.94 (0.80–1.11)0.4660.73 (0.53–0.10)0.0470.92 (0.79–1.08)0.2940.91 (0.73–1.14)0.411
Donor fem vs male0.66 (0.55–0.80)< 0.0011.29 (1.05–1.60)0.0180.89 (0.77–1.02)0.0980.97 (0.83–1.13)0.6710.96 (0.85–1.09)0.5191.11 (0.94–1.30)0.2091.00 (0.73–1.37)0.9861.33 (1.13–1.55)< 0.0011.23 (0.99–1.53)0.0593
Pt CMV pos vs neg0.93 (0.76–1.13)0.4471.23 (0.98–1.56)0.0811.06 (0.91–1.23)0.4621.24 (1.05–1.47)0.0141.02 (0.89–1.17)0.7840.96 (0.80–1.13)0.6031.01 (0.73–1.41)0.9430.10 (0.84–1.19)0.9721.04 (0.81–1.32)0.780
Dr CMV pos vs neg1.12 (0.92–1.36)0.2760.89 (0.71–1.11)0.3000.99 (0.86–1.15)0.9310.95 (0.81–1.12)0.5481.07 (0.94–1.23)0.3151.08 (0.91–1.28)0.3641.11 (0.80–1.54)0.5231.18 (1.00–1.40)0.05671.30 (1.02–1.65)0.036
TBI vs chemo0.60 (0.49–0.74)< 0.0010.87 (0.68–1.12)0.2920.70 (0.60–0.82)< 0.0010.75 (0.62–0.90)0.0020.88 (0.76–1.03)0.1041.18 (0.95–1.46)0.1261.02 (0.69–1.51)0.9221.23 (0.99–1.52)0.06471.27 (0.93–1.75)0.131
In vivo TCD vs no TCD1.22 (0.97–1.53)0.0900.68 (0.52–0.88)0.0040.94 (0.79–1.12)0.4940.84 (0.69–1.02)0.0770.75 (0.64–0.88)< 0.0010.72 (0.59–0.89)0.0020.51 (0.33–0.75)< 0.0010.58 (0.47–0.71)< 0.0010.48 (0.36–0.64)< 0.001
Center (frailty)0.3140.170.2950.0150.019< 0.001< 0.0010.0280.004

Abbreviations: BM bone marrow, CR complete remission, CMV cytomegalovirus, dr donor, GVHD graft-versus-host disease, GRFS GVHD-free and relapse-free survival, HCT hematopoietic cell transplantation, KPS Karnofsky performance score, LFS leukemia-free survival, MRD measurable residual disease, NRM non-relapse mortality, OS overall survival, Ph Philadelphia chromosome/BCR-ABL gene rearrangement, pt patient, RI relapse incidence, TCD T cell depletion, UD unrelated donor

Multivariate analysis of factors determining outcomes at 2 years Abbreviations: BM bone marrow, CR complete remission, CMV cytomegalovirus, dr donor, GVHD graft-versus-host disease, GRFS GVHD-free and relapse-free survival, HCT hematopoietic cell transplantation, KPS Karnofsky performance score, LFS leukemia-free survival, MRD measurable residual disease, NRM non-relapse mortality, OS overall survival, Ph Philadelphia chromosome/BCR-ABL gene rearrangement, pt patient, RI relapse incidence, TCD T cell depletion, UD unrelated donor When investigating the impact of MRD separately in the TBI and chemotherapy-based conditioning cohorts by multivariate analysis, we found MRD positivity to be associated with lower OS and LFS and higher RI in the TBI group, and with higher RI in the chemotherapy group (results are summarized in Additional file 3). TBI-based conditioning was associated with improved outcomes in both MRD-negative and MRD-positive patients (Fig. 1).
Fig. 1

Survival of 2780 adults transplanted for ALL after myeloablative conditioning. Kaplan-Meier curves show estimates of leukemia-free survival (LFS, left) and overall survival (OS, right). Curves for patients with undetectable MRD (MRD neg) at transplantation are shown in full lines, and for MRD-positive (MRD pos) patients in broken lines. Curves related to TBI-based conditioning are shown black and to chemotherapy-based conditioning in gray lines

Survival of 2780 adults transplanted for ALL after myeloablative conditioning. Kaplan-Meier curves show estimates of leukemia-free survival (LFS, left) and overall survival (OS, right). Curves for patients with undetectable MRD (MRD neg) at transplantation are shown in full lines, and for MRD-positive (MRD pos) patients in broken lines. Curves related to TBI-based conditioning are shown black and to chemotherapy-based conditioning in gray lines

Discussion

In this large study, we confirmed that adult patients with ALL who are MRD-negative prior to allogeneic HCT achieve superior outcomes, namely, lower RI, higher LFS, and OS. We were interested in exploring potential differing outcomes between recipients of TBI-based conditioning and conditioning based on chemotherapy only. While TBI-based conditioning is associated with significant short as well as long-term toxicity [16], it remains part of most conditioning protocols for ALL because it is believed to have a better anti-leukemic potential in lymphoid malignancies. In animal experiments, administration of high doses of busulfan had little impact on lymphoid organs [17] or on antibody responses [18]. In children, a small randomized trial [19] showed better event-free survival with TBI-based regiments, and a recent large international randomized trial closed, after an interim analysis showed a survival benefit in patients who received TBI-based conditioning over chemotherapy-based conditioning [20]. There are no such randomized prospective trials in adults, but data in many retrospective studies, including recently published large analysis by the EBMT suggested advantages of TBI-based over chemotherapy-based regimens, particularly in terms of reduced risk of relapse and improved LFS [21]. This effect was also seen in adults transplanted for primary refractory ALL [22] with a large tumor bulk as well as in patients with T-ALL, regardless of their remission status [23]. So far, however, the impact of conditioning has not been studied in the context of MRD. It has been unclear if TBI is necessary for patients who achieved MRD negativity as a graft-versus-leukemia effect may be sufficient to eliminate very low level of residual disease. This study showed significantly superior outcomes with the use of TBI-based conditioning in both MRD-positive and MDR-negative patients, but the impact of MRD did not differ significantly between the TBI-based or chemotherapy-based conditioning. MRD positivity was associated with lower OS and LFS and higher RI in the larger (n = 1943) TBI subgroup, and with higher RI in the smaller (n = 571) chemotherapy subgroup. The reasons for this cannot be concluded from this study, but it is possible that ALL cells are able to escape the effect of chemotherapy in sanctuary sites such as CNS, and/or that the ALL is simply more susceptible to effects of radiotherapy. No patients received radiotherapy before starting transplantation conditioning, so irradiation represents a different anti-leukemic treatment modality to chemotherapy in patients transplanted after TBI-based conditioning. Also, patients in this cohort did not receive modern immunotherapy such as inotuzumab, ozogamicin, or blinatumomab that are able to induce MRD negativity on their own [24, 25] or in addition to chemotherapy [26, 27]. It is likely that with the use of these agents, more patients may become MRD-negative. Whether they will or will not benefit from TBI-based conditioning as the MRD-negative patients in this cohort remains unclear, but clinicians should not rush into rejecting TBI-based conditioning in patients with ALL. Compared to related donors, unrelated donors both 10/10 and 9/10 had a lower incidence of relapse. This suggests better anti-leukemic activity and increased GVHD with lower degree of histocompatibility. Unlike in recent studies of T cell-replete haploidentical transplantation with post-transplantation cyclophosphamide [28, 29], this increase in anti-leukemic activity did not improve OS due to higher incidence of aGVHD, cGVHD, and NRM. Interestingly, in vivo T cell depletion was associated with higher RI, lower NRM, and lower incidence of aGVHD and cGVHD only in patients who received TBI-based, but not chemotherapy-based conditioning. This phenomenon may suggest more profound immune allogeneic effect in conjunction with the use of TBI-based conditioning, perhaps due to more significant lymphodepletion seen in animal experiments after TBI but not after chemotherapy [17, 18]. Some previous publications suggested an increased incidence of GVHD after TBI-based conditioning [30, 31], but there is also data in contrary to this [32]. Surprisingly, in the chemotherapy-based, but not TBI-based conditioning subgroup, MRD-positive patients experienced higher RI, but comparable LFS and OS. Although it is possible to speculate that patients who relapsed after chemotherapy-based conditioning benefited more from salvage treatments with donor lymphocytes, the difference may be also due to the size of the groups and resulting statistical power. Although the majority of EBMT centers use highly sensitive methods of MDR detection [33], and our an additional audit showed that all 56 centers but 1 regarded an MRD level of 10−4 or lower as negative (for one center this was less than 10−3), an obvious limitation of this registry study is the lack of access to details of MRD methodologies and targets used in individual patients. However, the proportion of reported MRD-positive cases seen was 35% of the total eligible for the study and this is similar to the 21 to 38% reported in studies where detailed review of MRD methodology and targets were feasible [34, 35]. Centers were required to declare the MRD status of patients prior to HCT, but we did not have access to the precise timing of the relevant MRD assay. Another important issue is potential heterogeneity of conditioning regimens within the TBI and chemotherapy groups [36]. The challenge of how best to manage MRD positivity pre-HCT in the clinic is a familiar dilemma since further therapy may incur toxicity that renders subsequent HCT undeliverable or may result in frank relapse should the leukemia show resistance to the new treatment modality. In the post-HCT setting, management of MRD-positive patients has involved strategies such as rapid withdrawal of immunosuppressive medication, pre-emptive use of donor lymphocyte infusions, and maintenance therapy with tyrosine kinase inhibitors in Philadelphia-positive patients. In the future, immunotherapy such as blinatumomab [37], chimeric antigen receptor T cells, natural killer cells, or check-point inhibitors may be useful mostly in patients with B cell ALL.

Conclusions

In this large study, we confirmed that adult patients with acute lymphoblastic leukemia who are MRD-negative prior to HCT achieve superior outcomes. This was particularly apparent with the use of TBI-based conditioning. With increasing availability of new therapies MRD negativity is likely to become achievable for more patients, hopefully leading to improved treatment outcomes. As all patients with ALL irrespective of MRD status benefit from TBI-based conditioning, avoidance of it on the basis of achievement of MRD negativity is not justified. Additional file 1. List of all institutions reporting data included in this study. Additional file 2. Univariate analysis of factors determining outcomes of transplantation at 2 years. Additional file 3. A. Univariate planned sub-analyses performed separately in subgroups of patients transplanted after chemotherapy-based and TBI-based conditioning. Abbreviations: GVHD, graft-versus-host disease; GRFS, GVHD-free and relapse-free survival; LFS, leukemia free survival; MRD, measurable residual disease; NRM, non-relapse mortality; OS, overall survival; RI, relapse incidence. B. Multivariate planned sub-analyses performed separately in subgroups of patients transplanted after chemotherapy-based conditioning (571 patients of whom 382 were MRD negative and 205 MRD positive) and TBI-based conditioning (1943 patients of whom 1278 were MRD negative and 680 MRD positive). Abbreviations: BM, bone marrow; CR, complete remission; CMV, cytomegalovirus; GVHD, graft-versus-host disease; GRFS, GVHD-free and relapse-free survival; KPS, Karnofsky performance score; LFS, leukemia free survival; MRD, measurable residual disease; NRM, non-relapse mortality; OS, overall survival; Ph, Philadelphia chromosome/BCR-ABL gene rearrangement; RI, relapse incidence; TCD, T-cell depletion; UD, unrelated donor.
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1.  Testing for centre effects in multi-centre survival studies: a Monte Carlo comparison of fixed and random effects tests.

Authors:  P K Andersen; J P Klein; M J Zhang
Journal:  Stat Med       Date:  1999-06-30       Impact factor: 2.373

2.  The action of chlorambucil (CB. 1348) and busulphan (myleran) on the haemopoietic organs of the rat.

Authors:  L A ELSON; D A GALTON; M TILL
Journal:  Br J Haematol       Date:  1958-10       Impact factor: 6.998

Review 3.  Frailty models for survival data.

Authors:  P Hougaard
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

4.  Improving results of allogeneic hematopoietic cell transplantation for adults with acute lymphoblastic leukemia in first complete remission: an analysis from the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation.

Authors:  Sebastian Giebel; Myriam Labopin; Gerard Socié; Dietrich Beelen; Paul Browne; Liisa Volin; Slawomira Kyrcz-Krzemien; Ibrahim Yakoub-Agha; Mahmoud Aljurf; Depei Wu; Mauricette Michallet; Renate Arnold; Mohamad Mohty; Arnon Nagler
Journal:  Haematologica       Date:  2016-09-29       Impact factor: 9.941

5.  Inotuzumab ozogamicin in adults with relapsed or refractory CD22-positive acute lymphoblastic leukemia: a phase 1/2 study.

Authors:  Daniel J DeAngelo; Wendy Stock; Anthony S Stein; Andrei Shustov; Michaela Liedtke; Charles A Schiffer; Erik Vandendries; Katherine Liau; Revathi Ananthakrishnan; Joseph Boni; A Douglas Laird; Luke Fostvedt; Hagop M Kantarjian; Anjali S Advani
Journal:  Blood Adv       Date:  2017-06-27

6.  Phase II trial of the anti-CD19 bispecific T cell-engager blinatumomab shows hematologic and molecular remissions in patients with relapsed or refractory B-precursor acute lymphoblastic leukemia.

Authors:  Max S Topp; Nicola Gökbuget; Gerhard Zugmaier; Petra Klappers; Matthias Stelljes; Svenja Neumann; Andreas Viardot; Reinhard Marks; Helmut Diedrich; Christoph Faul; Albrecht Reichle; Heinz-August Horst; Monika Brüggemann; Dorothea Wessiepe; Chris Holland; Shilpa Alekar; Noemi Mergen; Hermann Einsele; Dieter Hoelzer; Ralf C Bargou
Journal:  J Clin Oncol       Date:  2014-11-10       Impact factor: 44.544

7.  Minimal residual disease (MRD) status prior to allogeneic stem cell transplantation is a powerful predictor for post-transplant outcome in children with ALL.

Authors:  P Bader; J Hancock; H Kreyenberg; N J Goulden; D Niethammer; A Oakhill; C G Steward; R Handgretinger; J F Beck; T Klingebiel
Journal:  Leukemia       Date:  2002-09       Impact factor: 11.528

8.  The effect of peritransplant minimal residual disease in adults with acute lymphoblastic leukemia undergoing allogeneic hematopoietic stem cell transplantation.

Authors:  Yi Zhou; Rebecca Slack; Jeffrey L Jorgensen; Sa A Wang; Gabriela Rondon; Marcos de Lima; Elizabeth Shpall; Uday Popat; Stefan Ciurea; Amin Alousi; Muzaffar Qazilbash; Chitra Hosing; Susan O'Brien; Deborah Thomas; Hagop Kantarjian; L Jeffrey Medeiros; Richard E Champlin; Partow Kebriaei
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2014-01-15

9.  Minimal residual disease status before allogeneic bone marrow transplantation is an important determinant of successful outcome for children and adolescents with acute lymphoblastic leukemia.

Authors:  C J Knechtli; N J Goulden; J P Hancock; V L Grandage; E L Harris; R J Garland; C G Jones; A W Rowbottom; L P Hunt; A F Green; E Clarke; A W Lankester; J M Cornish; D H Pamphilon; C G Steward; A Oakhill
Journal:  Blood       Date:  1998-12-01       Impact factor: 22.113

10.  Detectable minimal residual disease before allogeneic hematopoietic stem cell transplantation predicts extremely poor prognosis in children with acute lymphoblastic leukemia.

Authors:  Lucie Sramkova; Katerina Muzikova; Eva Fronkova; Ondrej Krejci; Petr Sedlacek; Renata Formankova; Ester Mejstrikova; Jan Stary; Jan Trka
Journal:  Pediatr Blood Cancer       Date:  2007-01       Impact factor: 3.167

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  16 in total

1.  Measurable residual disease affects allogeneic hematopoietic cell transplantation in Ph+ ALL during both CR1 and CR2.

Authors:  Satoshi Nishiwaki; Yu Akahoshi; Shuichi Mizuta; Akihito Shinohara; Shigeki Hirabayashi; Yuma Noguchi; Takahiro Fukuda; Naoyuki Uchida; Masatsugu Tanaka; Makoto Onizuka; Yukiyasu Ozawa; Shuichi Ota; Souichi Shiratori; Yasushi Onishi; Yoshinobu Kanda; Masashi Sawa; Junji Tanaka; Yoshiko Atsuta; Shinichi Kako
Journal:  Blood Adv       Date:  2021-01-26

2.  Measurable residual disease (MRD) testing for acute leukemia in EBMT transplant centers: a survey on behalf of the ALWP of the EBMT.

Authors:  Arnon Nagler; Frédéric Baron; Myriam Labopin; Emmanuel Polge; Jordi Esteve; Ali Bazarbachi; Eolia Brissot; Gesine Bug; Fabio Ciceri; Sebastian Giebel; Maria H Gilleece; Norbert-Claude Gorin; Francesco Lanza; Zinaida Peric; Annalisa Ruggeri; Jaime Sanz; Bipin N Savani; Christoph Schmid; Roni Shouval; Alexandros Spyridonidis; Jurjen Versluis; Mohamad Mohty
Journal:  Bone Marrow Transplant       Date:  2020-07-28       Impact factor: 5.483

3.  MRD in adult Ph/BCR-ABL-negative ALL: how best to eradicate?

Authors:  Nicola Gökbuget
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 4.  Controversies in the Treatment of Adolescents and Young Adults with Philadelphia Chromosome-Negative B-Cell Acute Lymphoblastic Leukemia.

Authors:  Punita Grover; Lori Muffly
Journal:  Curr Oncol Rep       Date:  2022-03-30       Impact factor: 5.945

5.  Allogeneic transplantation for Ph+ acute lymphoblastic leukemia with posttransplantation cyclophosphamide.

Authors:  Jonathan A Webster; Leo Luznik; Hua-Ling Tsai; Philip H Imus; Amy E DeZern; Keith W Pratz; Mark J Levis; Ivana Gojo; Margaret M Showel; Gabrielle Prince; Javier Bolaños-Meade; Lukasz P Gondek; Gabriel Ghiaur; W Brian Dalton; Tania Jain; Ephraim J Fuchs; Douglas E Gladstone; Christian B Gocke; Syed Abbas Ali; Carol Ann Huff; Ivan M Borrello; Lode Swinnen; Nina Wagner-Johnston; Richard F Ambinder; Richard J Jones; B Douglas Smith
Journal:  Blood Adv       Date:  2020-10-27

6.  Allogeneic HCT for adults with B-cell precursor acute lymphoblastic leukemia harboring IKZF1 gene mutations. A study by the Acute Leukemia Working Party of the EBMT.

Authors:  Sebastian Giebel; Myriam Labopin; Gerard Socié; David Beauvais; Stefan Klein; Eva Maria Wagner-Drouet; Didier Blaise; Stephanie Nguyen-Quoc; Jean Henri Bourhis; Anne Thiebaut; Hélène Labussière-Wallet; Amandine Charbonnier; Ana Berceanu; José Luis Diez-Martin; Nathalie Fegueux; Jordi Esteve; Arnon Nagler; Mohamad Mohty
Journal:  Bone Marrow Transplant       Date:  2020-11-25       Impact factor: 5.483

Review 7.  MRD-Based Therapeutic Decisions in Genetically Defined Subsets of Adolescents and Young Adult Philadelphia-Negative ALL.

Authors:  Manuela Tosi; Orietta Spinelli; Matteo Leoncin; Roberta Cavagna; Chiara Pavoni; Federico Lussana; Tamara Intermesoli; Luca Frison; Giulia Perali; Francesca Carobolante; Piera Viero; Cristina Skert; Alessandro Rambaldi; Renato Bassan
Journal:  Cancers (Basel)       Date:  2021-04-27       Impact factor: 6.639

8.  Consolidative Hematopoietic Stem Cell Transplantation After CD19 CAR-T Cell Therapy for Acute Lymphoblastic Leukemia: A Systematic Review and Meta-analysis.

Authors:  Xinjie Xu; Sifei Chen; Zijing Zhao; Xinyi Xiao; Shengkang Huang; Zhaochang Huo; Yuhua Li; Sanfang Tu
Journal:  Front Oncol       Date:  2021-04-28       Impact factor: 6.244

9.  Prognostic factors for survival after allogeneic transplantation in acute lymphoblastic leukemia.

Authors:  C Greil; M Engelhardt; G Ihorst; J Duque-Afonso; K Shoumariyeh; H Bertz; R Marks; R Zeiser; J Duyster; J Finke; R Wäsch
Journal:  Bone Marrow Transplant       Date:  2020-10-31       Impact factor: 5.483

10.  Newly proposed threshold and validation of white blood cell count at diagnosis for Philadelphia chromosome-positive acute lymphoblastic leukemia: risk assessment of relapse in patients with negative minimal residual disease at transplantation-a report from the Adult Acute Lymphoblastic Leukemia Working Group of the JSTCT.

Authors:  Yu Akahoshi; Yasuyuki Arai; Satoshi Nishiwaki; Takayoshi Tachibana; Akihito Shinohara; Noriko Doki; Naoyuki Uchida; Masatsugu Tanaka; Yoshinobu Kanda; Souichi Shiratori; Yukiyasu Ozawa; Katsuhiro Shono; Yuta Katayama; Junji Tanaka; Takahiro Fukuda; Yoshiko Atsuta; Shinichi Kako
Journal:  Bone Marrow Transplant       Date:  2021-07-30       Impact factor: 5.174

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