Abstract
Importance
Autologous hematopoietic stem cell transplantation may be effective in aggressive forms of multiple sclerosis that failed to respond to standard therapies.
Objective
To evaluate long-term outcomes after autologous hematopoietic stem cell transplantation for treatment of multiple sclerosis.
Design, Setting and Participants
Data was collected in a multicenter observational retrospective cohort study. Eligibility criteria were having received autologous hematopoietic stem cell transplantation for the treatment of multiple sclerosis during 1995–2006 and availability of a pre-specified minimum dataset, comprising the disease subtype at baseline; the expanded disability status scale (EDSS) score at baseline; information on the administered conditioning regimen and graft manipulation; and availability of at least one follow-up visit/report after transplantation. Last patient last visit was on July 1, 2012. To avoid biases, all eligible patients were included in the analysis regardless the duration of follow-up.
Exposures
Demographic, disease- and treatment-related exposures were considered as variables of interest. These included age, disease subtype, baseline EDSS score, number of previous disease modifying treatments, and intensity of transplantation conditioning regimen.
Main Outcomes and Measures
The primary outcomes were multiple sclerosis progression-free survival and overall survival. The probabilities of progression-free and overall survival were calculated using Kaplan-Meier survival curves and Cox regression multivariate analysis models.
Results
Valid data was collected from 25 centers in 13 countries for 281 evaluable patients with median follow up of 6.6 years (range 0.2–16 y). The majority of patients had progressive forms of multiple sclerosis (78%). The median EDSS score prior to mobilization was 6.5 (range 1.5–9.0). The five-year probability of EDSS progression free survival was 46% (95% confidence interval [CI], 42–54 %) and overall survival was 93% (95% CI, 89–96 %). Factors associated with neurological progression post-transplantation were age (HR=1.03, 95% CI, 1.00–1.05), progressive vs. relapsing forms of multiple sclerosis (HR=2.33, 95%CI, 1.27–4.28) and >2 previous disease-modifying therapy (HR=1.65, 95%CI, 1.10–2.47). EDSS score was associated with worse overall survival (HR 2.03, 95%CI=1.40–2.95).
Conclusions and Relevance
In this observational study of MS patients treated with autologous hematopoietic stem cell transplantation, nearly half survived free from neurological progression for 5 years after transplantation. Younger age, relapsing multiple sclerosis, less prior immunotherapies and lower disability score were factors associated with better outcomes. The results support the rationale for further, randomized controlled studies of AHSCT for treatment of MS.
INTRODUCTION
Approximately 3 million people in the world have multiple sclerosis (MS). 1 MS typically presents in young adulthood and can cause severe neurological disability, a major socio-economic burden 2. Patients with an aggressive course of MS often fail to respond to several lines of disease-modifying treatment and deteriorate within a few years.
Autologous hematopoietic stem cell transplantation (AHSCT) is being investigated as treatment for aggressive MS3. The rationale of this approach is to allow the use of high dose immunosuppressive therapy to abrogate the autoimmune inflammatory process. Infusion of autologous hematopoietic cells boosts bone marrow recovery and promotes immune reconstitution. The procedure has been shown to induce a degree of immune ‘resetting’ 4,5. The treatment goals are to arrest worsening of neurologic disability, induce a prolonged medication-free interval and potentially an improvement in neurological function. Early clinical trials established the proof of principle that AHSCT could induce disease remissions in patients with severe MS 6. More recent studies have shown that autologous AHSCT is effective at suppressing clinical and magnetic resonance imaging (MRI) disease reactivations 7–9, can result in neurological improvement in patients with relapsing-remitting MS 7,8,10–12 and can halt all detectable CNS inflammatory activity for a prolonged period of time 13. However, outcome assessments in the majority of studies were limited to a relatively short follow-up, and longer-term outcomes have been reported only from small case series 14–16. It would therefore be important to examine in a large patient population the course of MS after AHSCT and the rates of risks and complications over longer term.
The objective of this study was to evaluate long-term outcomes in patients who underwent AHSCT for treatment of MS in a large multi-center cohort by analyzing progression-free survival, evolution of neurological disability, overall survival, transplant related mortality and late effects, including new autoimmune and malignant disorders; and to examine the association of demographic, MS disease- and treatment-related variables with the long-term outcomes.
METHODS
Study Design, Setting and Data Sources
This study was an observational retrospective cohort study on autologous AHSCT for treatment of MS and was performed through collaboration between the Center for International Blood and Marrow Transplant Research (CIBMTR) Autoimmune Disease Working Committee and the European Blood and Marrow Transplant Group (EBMT) Autoimmune Disease Working Party. The CIBMTR is a voluntary working group of more than 450 transplant centers worldwide that contribute detailed data on consecutive marrow transplants to a Statistical Center located at the Medical College of Wisconsin in Milwaukee and at the National Marrow Donor Program Coordinating Center in Minneapolis.17 The EBMT is a non-profit organization comprising 640 transplant centers mainly from Europe. All transplant centers have been required to obtain written informed consent to report data to the CIBMTR and to the EBMT database in accordance with the Helsinki Declaration 1975. Institutional Review Board approval for data collection and use of data for research purposes was obtained locally by each center. Only fully anonymised data were transferred to the study database. Following review by the study Steering Committee, the study protocol (Supplementary Appendix 1) was approved by the CIBMTR and the EBMT Board in agreement with the rules for retrospective studies of both organisations. MS pre-transplant and follow-up data had been prospectively collected from participating transplant centers on disease specific forms, which were harmonized between the two registries.18 For the purposes of this study, all bone marrow transplantation centers that had reported at least one autologous AHSCT for MS to CIBMTR or EBMT between 1995 and 2006 were sent an invitation to participate in the study together with a protocol summary. The centers that agreed to participate were asked to identify a transplant physician and a neurologist to oversee all patient data for accuracy and completeness at each site. To better describe disease activity before and after transplant and extend the follow up for our study, additional data collection was undertaken retrospectively. To this end, the Study team developed a supplemental data collection form that was pre-populated with the previously reported data in order to facilitate additional data collection and concurrently verify the accuracy of existing information. The overall completeness of enrollment in our study, calculated as percentage of all the procedures reported to the two registries during the time period, was 281/493 (57%). A CONSORT diagram of enrollment and screening of the potentially eligible cases in provided in eFigure 1). Our study is reported according to the STROBE guidelines (checklist in supplementary Appendix).
Patients and Treatments
For each case to be included in the study a minimum dataset was required, which comprised: the MS course classification at baseline (relapsing remitting, RR; primary- PP or secondary progressive, SP; progressive relapsing, PR); the expanded disability status scale (EDSS; ranging from 0 signifying no disability through 7 for wheelchair bound to 10 for death due to MS; see eTable 1 for a detailed description) score at baseline; information on the administered conditioning regimen and graft manipulation; and availability of at least one follow-up visit/report after transplantation. Mobilization of Peripheral Blood Stem Cells (PBSC) was carried out by the administration of a hematopoietic Growth Factor (GF), with or without chemotherapy; type of both GF and chemotherapy were sought. Manipulation of the graft aimed to reduce the content of immune cells was also requested. Conditioning regimens including either Busulphan or Total Body Irradiation (TBI) were classified as high intensity; regimens including Cyclophosphamide alone or associated to Anti-Thymocyte Globulin (ATG) or Fludarabine were classified as reduced intensity; all the others were considered as intermediate intensity.
Study End Points
Progression-free survival was defined as survival in the absence of progression of MS. Progression of MS was defined clinically as an increase of 1 point in the Expanded Disability Status Scale (EDSS) confirmed at 12 months (0.5 points if baseline EDSS score was >=5.5) compared to the pre-treatment baseline. The pre-treatment baseline was defined as the last assessment before mobilization (for peripherally mobilized autologous grafts) or before immunosuppressive conditioning (for bone marrow autologous grafts). EDSS increases that were detected on the last visit and therefore cannot be confirmed were considered as events, according to a more conservative approach. A sensitivity analysis was run censoring these last visits events. Death by any cause was considered MS progression in this analysis. Overall survival was time to death by any cause. For all the patients who died after the AHSCT the cause of death was examined. Early deaths that occurred within 100 days from transplant, which are considered treatment-related, were described separately. Surviving patients were censored at time of last follow-up. Information regarding the incidence of late effects was collected, including malignancies and secondary autoimmune diseases.
Statistical Analysis
Data collected from both the CIBMTR and EBMT were summarized in descriptive tables of demographic information of all the population. Continuous variables were reported as medians and ranges or means and standard deviations, while categorical variables were reported as absolute numbers and percent of total patients. The probability of progression-free survival was calculated using the Life Table estimator and the overall survival was calculated using the Kaplan-Meier Estimator. A multivariate analysis assessing the association of baseline characteristics and transplant methodology on progression free and overall survival was run using Cox proportional hazards regression models, adjusted for center. Proportionality of hazard was checked by plotting log-log transformation of the KM survival curve, namely, log-log(S(t)), versus time t for each level of covariates; the assumption of proportional hazard is tenable if the difference between the two log-log KM curves is constant over time.
Variables significantly associated with each outcome event at univariate analysis were included as covariate in the multivariate model, which selected the independent set of variables using a stepwise approach. For each patient having an EDSS assessment 1 year before and 1 year after transplant, the yearly EDSS changes pre and post-transplant were calculated. These changes were compared by a repeated measures analysis of variance with 2 time points (change pre vs change post-transplant), including also disease type (relapsing vs progressive forms) and an interaction term (period by disease type) to evaluate whether the EDSS change pre and post-transplant was different between relapsing and progressive patients.
A Loess smoothing technique 19 was applied to describe the EDSS trend over time in relapsing and in progressive patients, for those subjects having EDSS date of assessment reported. The Loess technique is a non-parametric, graphical tool to fit a smooth curve to the points in a scatterplot, based on local weighted regression analyses 19.
A two-sided significance level of 5% was used. We used R version 3.2 and SPSS version 19 software for the analysis.
RESULTS
Patients Demographics and Procedures
Valid data was obtained for 281 patients. Demographic and clinical data at the time of AHSCT are summarized in Table 1. The median disease duration calculated from diagnosis of MS to AHSCT was 81 months (range 1–413). At the time of AHSCT, 171 patients (61%) had received 2 or more prior lines of disease-modifying treatment for MS. At the assessment preceding mobilization the most represented disease subtype was SPMS, contributing 186 of the 281 patients (66%), and the median EDSS score was 6.5 (range 1.5–9) indicating moderately advanced disability on average. A few differences existed in the subsets of patients reported to CIBMTR and EBMT reflecting different patient selection practices in the two groups of countries. Compared to the CIBMTR cohort, patients from the EBMT cohort were younger (median age 35 years vs. 40 years, p<0.001), had more often >2 lines of therapy prior to transplant (52% vs. 32%, p=0.002), had less patients in SP (61% vs. 75 %, p=0.001), shorter time from diagnosis to transplant (median time of 77 months vs. 91 months, p=0.04) and had a greater proportion of patients transplanted during the first half (1995–2000) of the 12-year period qualifying for inclusion in our study (42% vs. 22%, p<0.01). In total, however, two thirds of the patients underwent AHSCT during the second half (2001–06). Mobilisation, graft manipulation and conditioning regimens details are also summarized in Table 1. The proportions of patients who received high-, intermediate- and low-intensity conditioning regimens were evenly split (approximately one third each) in CIBMTR, whereas 89% of patients reported to EBMT received an intermediate intensity regimen (most commonly BEAM+ATG). The percentage of patients treated with high-intensity regimens was higher in progressive (20%) than in relapsing (10%) patients (p=0.05). The median duration of follow-up post-AHSCT was 6.6 years (range 0.2–16).
Table 1.
Demographic and clinical characteristics of patients
CIBMTR | EBMT | TOTAL | |
---|---|---|---|
Number of patients | 111 | 170 | 281 |
Number of centers | 8 | 17 | 25 |
Age, median (range), years | 40 (26 – 60) | 35 (15–65) | 37 (15–65) |
10–19 | 0 (0%) | 6 (4%) | 6 (2%) |
20–29 | 11 (10%) | 47 (28%) | 58 (21%) |
30–39 | 40 (36%) | 67 (39%) | 107 (38%) |
40–49 | 44 (40%) | 41 (24%) | 85 (30%) |
50+ | 16 (14%) | 9 (5%) | 25 (9%) |
Gender | |||
Male | 48 (43%) | 69 (41%) | 117 (42%) |
Female | 63 (57%) | 101 (59%) | 164 (58%) |
EDSS prior to mobilization | |||
N evaluated | 111 (100%) | 170 (100%) | 281(100%) |
median (range) | 6.5 (2.5–9) | 6.5 (1.5–9) | 6.5 (1.5–9) |
EDSS prior to conditioning | |||
Missing | 62 (56%) | 39 (20%) | 101 (36%) |
N evaluated | 49 (44%) | 131 (80%) | 180 (64%) |
median (range) | 6.0 (3.5–9.0) | 6.5 (1.5–9.5) | 6.0 (1.5–9.5) |
Number of MS treatments1 prior to transplant | |||
Missing | 5 | 27 | 32 |
N evaluated | 106 | 143 | 249 |
1 treatment | 42 (40%) | 36 (25%) | 78 (28%) |
2 treatments | 30 (28%) | 33 (26%) | 63 (22%) |
>2 treatments | 34 (32%) | 74 (52%) | 108 (38%) |
Disease status at baseline | |||
Relapsing remitting | 12 (11%) | 34 (20%)2 | 46 (16%) |
Progressive relapsing | -- | 17 (10%) | 17 (6%) |
Primary progressive | 16 (14%) | 16 (9%) | 32 (11%) |
Secondary progressive | 83 (75%) | 103 (61%) | 186 (66%) |
Time from diagnosis to transplant | |||
N evaluated | 110 (99%) | 170 (100%) | 280 (99%) |
median (range), months | 91 (<1–413) | 77 (2–340) | 81(<1–413) |
Time from mobilization to transplant | |||
N evaluated | 79 (72%) | 169 (99%) | 248 (88%) |
median (range), months | 1 (<1–7) | 2 (<1–9) | 2 (<1–9) |
Year of transplant | |||
1995–2000 | 24 (22%) | 71 (42%) | 95 (34%) |
2001–2006 | 87 (78%) | 99 (58%) | 186 (66%) |
Chemo- mobilization3 | 101 (91%) | 162 (95%) | 263 (93%) |
Graft manipulation4 | |||
Yes | 53 (48) | 70 (41%) | 123(44%) |
No | 58 (52) | 100 (59%) | 158(56%) |
Conditioning regimen | |||
High Intensity | 43 (39%) | 10 (6%) | 53 (19%) |
CY+TBI+ATG | 28 (25%) | 0 | 28 (10%) |
BU+CY+ATG | 15 (14%) | 0 | 15 (6%) |
BU+ATG | 0 | 10 (6%) | 10 (3%) |
Intermediate Intensity | 28 (25%) | 151 (89%) | 179 (64%) |
BEAM+ATG | 23 (21%) | 86 (51%) | 109 (39%) |
BEAM | 0 | 40 (24%) | 40 (14%) |
CY+THIO | 0 | 7 (4%) | 7 (3%) |
TLI+Melphalan | 5 (4%) | 0 | 5 (2%) |
BCNU+CY+ATG | 0 | 18 (10%) | 18 (6%) |
Low Intensity | 40 (36%) | 9 (5%) | 49 (17%) |
CY+ATG | 37 (33%) | 9 (5%) | 46 (16%) |
CY+FLUD | 3 (3%) | 0 | 3 (1%) |
ATG | 104 (94%) | 128 (75%) | 232 (83%) |
Indicates the number of disease modifying therapies received for treatment of MS prior to AHSCT
Includes one case reported as Marburg-type MS
Indicates whether a chemotherapy was associated to Growth Factors to mobilize Hematopoietic Stem Cells
Indicates whether manipulation of the graft was carried out; either with CD34 selection or T cell depletion
Abbreviations: EDSS=Expanded Disability Status Scale, range 0–10, 0=no disability, 10= dead; ATG, antithymocyte globulin; BEAM, carmustine, etoposide, cytarabine and melphalan; BCNU, carmustine; Bu, busulfan; CY, cyclophosphamide; FLUD, fludarabine; TBI, total body irradiation; THIO, thiotepa; TLI, total lymphoid irradiation.
Progression-free survival
Progression-free survival as assessed by EDSS was considered the primary neurological endpoint. Patients with yearly EDSS assessments post transplant enabling this analysis were 239 (85%). MS progression-free survival in all evaluable patients was 46% at 5 years post-AHSCT (CI 42–54%; Fig. 1A). Progression-free survival in the subgroup with relapsing MS was 82% at 3 years (95% CI 71–93%), 78% at 4 years (95% CI 66–91%) and 73% at 5 years post-AHSCT (95% CI 57–88%). Amongst patients with SPMS, the largest subgroup in our study (n=162), 33% (95% CI 24–42%) remained free from EDSS deterioration at 5 years post-AHSCT. When applying a Cox regression analysis, the assumption of proportional hazard was tenable. Factors associated with the risk of EDSS progression as identified by univariate Cox analysis were: age; progressive vs. relapsing phase/subtype of MS; and number of prior treatments (Table 2). The significance of these factors was confirmed at multivariate analysis (Table 2; Fig. 1B, C, D). Younger age and relapsing forms of MS were independently associated with better progression-free survival (Fig. 1B, C). There was no statistical difference in the risk of progression between PPMS patients and SPMS (HR=1.09, p=0.63)(Fig. 1C). Patients who had received 3 or more immune-suppressive/modulatory treatments had a higher probability of progression than those who received 1–2 treatments before AHSCT (Fig. 1D). The results did not change when the unconfirmed progressions on the last visits were considered censored observations.
Figure 1. MS progression-free survival.
Probabilities of EDSS progression-free survival after AHSCT are shown by Kaplan-Meier analysis (A) in the whole patient cohort and in subgroups stratified according to the factors identified by multivariate analysis as affecting progression-free survival, respectively: (B) in quartiles according to age (p = 0.022 for trend); (C) in patients with relapsing-remitting (RR), secondary progressive (SP) and primary progressive (PP) forms of MS (p = 0.007 for heterogeneity); and (D) in patients who received 1–2 or 3 previous disease-modifying treatments (p= 0.008 for heterogeneity). The different shades of grey represent 95% Confidence Intervals for each K-M line.
EDSS change in the period preceding and after AHSCT
It was important to also consider the evolution of neurological disability in the patients before they underwent AHSCT and the information was available in a subset of patients in the cohort. There were 111 patients who met the minimum requirement for this evaluation consisting of availability of at least one EDSS score during the three years prior to as well as after AHSCT with the respective dates of assessment. In the evaluable subgroup, the mean EDSS increased by 0.94 points (95%CI= 0.77–1.11) during the 12 months preceding transplant, as compared to a mean decrease of −0.32 EDSS points (95%CI= −0.15, −0.49) in the 12 months following transplant (p<0.001). A test for interaction demonstrated that the evolution of EDSS change pre and post-transplant was significantly different between patients with relapsing MS [EDSS change 1 year pre-transplant = +1.42 (95%CI= 0.98–1.86), EDSS change 1 year post-transplant = −0.76 (95%CI=−1. 08-0.34)] and progressive MS forms [EDSS change 1 year pre-transplant= +0.73 (95%CI= 0.59–0.87), EDSS change 1 year post-transplant = −0.14 (95%CI=−0.28 - 0.01)] patients (p<0.001). Figure 2 shows the evolution of EDSS score recorded before and after AHSCT in the 111 patients, divided by disease course in relapsing (A) and progressive (B) MS types. This representation allows visualizing the rapid neurological deterioration occurring in both patient subgroups before AHSCT. Post-transplantation, the integrated line suggests a reduction of the rate of accrual of disability in the subgroup with relapsing MS (Figure 2A).
Figure 2. Evolution of EDSS scores before and after AHSCT in relapsing and progressive MS.
The individual (colored dotted) and integrated (solid black) lines depict the evolution of EDSS scores in the subset of patients who had both longitudinal pre-transplantation and post-transplant EDSS data and the date of EDSS assessment documented (n =111). These are subdivided in relapsing (A; n = 32) and progressive (B; n = 79) forms of MS at the time of transplant. Rapid worsening of disability was observed prior to transplant in both subgroups, as expected for patients with aggressive forms of MS who were selected for AHSCT. The integrated line suggests that on average the accrual of disability was stopped in relapsing MS patients during the first 2 years post-transplant.
Overall survival
Overall survival was 93% (95% CI,=89–96%) at 5 years and 84% (95% CI= 78–89%) at 10 years from transplant (Figure 3A). When applying a Cox regression analysis, the assumption of proportional hazard was tenable. Factors associated with worse overall survival at univariate Cox analysis were: age; baseline EDSS score; high vs. low intensity of the conditioning regimen; progressive vs. relapsing form of MS (Table 2). At multivariate analysis only a higher baseline EDSS score remained significantly associated with a higher risk of death over time with HR 2.03 per EDSS point (95%CI=1.40–2.95; Table 2). When stratifying by disability levels, Kaplan-Meier analysis revealed worse survival in patients with baseline EDSS ≥ 7 (p = 0.004, Fig. 3B).
Figure 3. Overall survival.
The probability of survival after AHSCT is shown as Kaplan-Meier analysis in the whole patient cohort (A). Since higher baseline EDSS score was found by multivariate analysis to be independently associated with worse survival (see Table 2 for details) we show in (B) the probabilities of survival after AHSCT in three strata of patients with different levels of disability at baseline assessment (Expanded Disability Status Scale, EDSS brackets: 0–5.5; 6–6.5; ≥7), which differed significantly for the highest EDSS bracket (p = 0.004 for heterogeneity). The grey shades represent 95% Confidence Intervals for each K-M line.
Mortality and late adverse events
Overall, 37 deaths from any cause (treatment related or not) out of 281 patients were reported during the entire follow-up. Eight deaths (2.8%, CI=1.0–4.9%) were reported within 100 days from transplant and were considered transplant related mortality. Data on factors associated with lower overall survival at univariate analysis are presented for the patients who died within and after day 100 post-transplant against the whole cohort in eTable 2. Among the patients who died during follow-up, progressive MS type and high intensity conditioning regimens were overrepresented compared to the frequency of these factors in the whole cohort. However, the small number of events precludes a formal statistical evaluation. Individual causes of death and details on previous immune suppressive/modulatory treatments for MS are provided in eTable 3.
Late adverse events including the new onset of malignancies and autoimmune diseases are reported in eTable 4. Additionally, one case of Monoclonal Gammopathy of Unknown Significance (MGUS) was reported. Of the 3 cases of myelodysplastic syndrome two received a total body irradiation-based regimen and the other received cyclophosphamide+ATG. In the small number of events occurred, there was no clear evidence to suggest association of any of the late events with specific treatment regimens.
DISCUSSION
Previous studies of AHSCT for treatment of MS often reported detailed assessments, some including MRI endpoints, yet most had relatively short duration of follow-up: for example in the largest published prospective study (n = 145) median follow-up was 2 years11. The few studies with truly long-term follow-up (i.e. including outcomes at 5 years) included small numbers of patients, the largest reporting on 35 patients over a median follow-up period of 11 years 15. We analyzed a large cohort of patients undergoing AHSCT for treatment of MS (n = 281) over long term (median follow up of 6.6 years). Compared to the largest previously published cohort (Burt et al11) that included 118 RRMS (81.4%) and 27 SPMS patients (18.6%) our study includes a different proportion of MS types where 63 patients had relapsing types (RRMS and PRMS totaling 22.4%) and 218 had progressive types (PPMS and SPMS totaling 77.5%), thus it provides more information on outcomes after AHSCT in progressive MS, an area of unmet need20. Burt and colleagues noted that their criteria selecting patients with active inflammation and excluding those with late secondary-progressive MS may have prevented them from detecting associations that may exist with baseline EDSS score, older age, or prior number of immune-modulation or suppression regimens with a worse outcome11. In our study, not imposing any criteria to select a disease phenotype enabled us to demonstrate significant associations of these factors with worse outcomes. Lastly, all previous studies focused on specific AHSCT protocols utilized at those centers whereas in our study, for the first time to our knowledge in a long-term cohort, we report outcomes after a wide range of regimens, including low- (17%), intermediate- (64%) and high-intensity regimens (19%) and include conditioning intensity as a variable in the statistical analyses.
Our primary neurological outcome was progression-free survival, as assessed by systematic EDSS neurological disability scoring. In our cohort 78% of patients had PP- or SPMS and the observed progression-free survival in the evaluable patients (239/281, 85%) was 46% at 5-year follow-up. Because long-term stability of neurological disability is not an expected feature of the natural course of aggressive forms of relapsing or progressive MS21 these data raise the possibility that AHSCT may have reduced the risk of progression in the treated patients, yet in the absence of a control group demonstration is lacking. Neurological outcomes in our study, however were considerably better in patients with relapsing- than in those with progressive MS, consistent with recent evidence of good efficacy in RRMS7,11. By using multivariate analysis we identified relapsing MS as a factor robustly associated with progression-free survival (HR=2.33), which remained >70% at 5 years post-AHSCT in this patient subgroup. In the report by Burt et al, 81.4% of the patients had RRMS and progression-free survival was 87% at 4 years 11. In the HALT-MS trial patients were all RRMS by inclusion criteria and progression-free survival was 90.9% at 3 years 7. Inclusion criteria selecting patients with early RRMS may explain the higher progression-free rates observed in those studies. Additional factors that were significantly associated with better progression-free survival in our study were younger age and less than 3 prior MS disease-modifying treatments. Some of the previous studies considered age in subgroup analyses22 but none to our knowledge demonstrated their significance through formal statistical evaluation. Furthermore, we analyzed in a subset of evaluable patients the trajectory of neurological disability as measured by EDSS during the periods preceding and following AHSCT. The mean accumulation of disability during the 12 months pre-transplant (+0.94 EDSS points) was partially reversed post-transplant (−0.32 EDSS points) and the reversal was significantly greater in the patients with the relapsing compared to the progressive MS forms. This comparison extends previous observations of improvements in EDSS scores after AHSCT in studies including predominantly or exclusively RRMS patients 7,8,10,11 and in the subgroup of patients with RRMS of the Italian AHSCT database 12.
We also examined the association of variables with overall survival. Univariate analysis identified age, baseline EDSS score, intensity of the conditioning regimen and progressive vs. relapsing form of MS as factors significantly associated with lower overall survival rate. Of these, only baseline EDSS score was confirmed as significant in multivariate analysis, with a HR=2 per EDSS point. However, the low rate of events limits the power to detect at multivariate analysis all the variables underlying mortality and we cannot conclude that factors like conditioning intensity or disease stage do not affect survival.
Transplant-related death is a major concern in a non-immediately life-threatening disease such as MS. In the present study the 100-day mortality, which in hematological practice is considered a surrogate of transplant related mortality, was 2.8%, a high rate that likely reflects the early AHSCT experience captured in our study that only included transplants performed until 31/12/2006. Indeed, a retrospective analysis of the EBMT Registry performed in 2007 reported a decrease of treatment-related mortality from 7.3% to 1.3% in transplants for MS carried out before and after the year 2000, respectively3. In a 2010 update23, the 100-day mortality in the whole Registry was 2%, half of that in the 2005 report (4%)24. The reduction over the years is likely related to improved selection of patients with the exclusion of patients with advanced disability who are at higher risk of complications, and to the less frequent use of intensive conditioning regimens 22. In our study the causes of deaths within day 100 were partly related to the immunosuppression, as expected 22 although the small number of events prevents a reliable analysis. Beyond day 100, the incidence of death is scattered throughout the follow-up (Fig. 3 and data not shown) and the causes can be attributed in large part to progression of MS disability and its attendant complications, which often include infection even in patients who have not been treated with immunosuppressant therapies. The conditioning regimen was more frequently a high-intensity one in the patients who died during follow-up than in the whole cohort, yet non-random allocation of treatment and small numbers prevent us from making definitive conclusions about this association.
The analysis of late events included malignancies and new onset of autoimmune disease. With regard to malignancies, 3 patients (1%) were reported with a myelodysplastic syndrome, a disorder associated with prior treatment with cytotoxic drugs; the other neoplasms reported in this cohort are usually not associated to previous chemotherapy. The incidence of new autoimmune disease was not negligible (5%), in line with a survey recently carried out by EBMT 25, yet considerably lower than after lymphocyte-depleting treatment with alemtuzumab that approaches a risk of 50%26.
The main limitation of our study is its partially retrospective nature. Although some of the data was collected retrospectively from clinical records, we took many steps to optimize the analysis. As most database studies, the reported outcomes mirror the practice for MS treatment in many countries. EDSS assessments were not rater-blinded and not systematically performed for the duration of follow-up in every patient, thus we limited the analysis of progression-free survival to the large subset of patients (85%) who had yearly EDSS rating. The number of patients with enough data points for the different analyses was variable and sometimes low, which reduced statistical power. In a retrospective study incomplete reporting and loss to follow-up may result in underestimating the frequency of late adverse events. We also acknowledge the limitation that although our analysis includes the majority (57%) of the transplants registered with CIBMTR and EBMT during the time period, more than one third of the activity was not captured by our study. However, the reason for 166/212 (78%) of the unavailable cases was that the centers where the patients were treated declined to participate in the study; 43 (74%) out of 58 centers which did not join the study had performed less than 3 transplants and lack of incentive for the clinicians to contributing few cases to a large study was stated in many centers’ responses. Based on this information we do not expect that the unavailability of those cases could represent a significant source of bias.
In summary, in this large observational cohort of MS patients with predominantly progressive forms of MS treated with AHSCT and followed long-term, almost half survived free from neurological progression for 5 years after transplantation. Taken together, the multivariate statistics indicate that the profile of a patient who is more likely to survive free from neurological progression is that of a younger subject with relapsing MS who has failed no more than two disease-modifying treatments and has not reached high levels of disability. These associations strengthen the case for an evaluation of safety and efficacy of AHSCT in a randomized controlled trial against approved therapies of high efficacy as first- or second line of treatment in patients with highly active relapsing MS, as suggested by experts’ consensus 27. Furthermore, our results raise the question whether AHSCT may attenuate the progression of disability in patients with progressive forms of MS, a possibility that is more plausible in patients with MRI evidence of CNS inflammatory activity pre-transplant 8,12,15 and that could be addressed in a randomized trial of AHSCT controlled against standard care.
Supplementary Material
Key Points.
Question
What are the long-term outcomes following autologous hematopoietic stem cell transplantation for treatment of multiple sclerosis?
Findings
In this multicenter observational retrospective cohort study of 281 patients with predominantly (78%) progressive forms of multiple sclerosis who underwent autologous hematopoietic stem cell transplantation during 1995–2006, transplant-related mortality was 2.8% and neurological progression-free survival was 46% at 5 years. Relapsing multiple sclerosis, younger age, less prior immunotherapies and lower neurological disability score were significantly associated with better outcomes.
Meaning
The results support the rationale for further, randomized controlled studies of autologous hematopoietic stem cell transplantation for treatment of multiple sclerosis.
Acknowledgments
The investigators acknowledge the contribution of Julio Voltarelli (in memoriam) for his contributions to the field of hematopoietic cell transplantation for autoimmune diseases. We thank the patients who participated in this study.
Sources of Funding
UK MS Society [Grant ref. no. 938/10 to P.M.]; CIBMTR; and EBMT Autoimmune Disease Working Party. The CIBMTR acknowledges the support by: the Public Health Service Grant/Cooperative Agreement U24-CA076518 from the National Cancer Institute (NCI), the National Heart, Lung and Blood Institute (NHLBI) and the National Institute of Allergy and Infectious Diseases (NIAID); a Grant/Cooperative Agreement 5U10HL069294 from NHLBI and NCI; a contract HHSH250201200016C with Health Resources and Services Administration (HRSA/DHHS); two Grants N00014-12-1-0142 and N00014-13-1-0039 from the Office of Naval Research; grants from *Actinium Pharmaceuticals; Allos Therapeutics, Inc.; *Amgen, Inc.; Anonymous donation to the Medical College of Wisconsin; Ariad; Be the Match Foundation; *Blue Cross and Blue Shield Association; *Celgene Corporation; Chimerix, Inc.; Fred Hutchinson Cancer Research Center; Fresenius-Biotech North America, Inc.; *Gamida Cell Teva Joint Venture Ltd.; Genentech, Inc.;*Gentium SpA; Genzyme Corporation; GlaxoSmithKline; Health Research, Inc. Roswell Park Cancer Institute; HistoGenetics, Inc.; Incyte Corporation; Jeff Gordon Children’s Foundation; Kiadis Pharma; The Leukemia & Lymphoma Society; Medac GmbH; The Medical College of Wisconsin; Merck & Co, Inc.; Millennium: The Takeda Oncology Co.; *Milliman USA, Inc.; *Miltenyi Biotec, Inc.; National Marrow Donor Program; Onyx Pharmaceuticals; Optum Healthcare Solutions, Inc.; Osiris Therapeutics, Inc.; Otsuka America Pharmaceutical, Inc.; Perkin Elmer, Inc.; *Remedy Informatics; *Sanofi US; Seattle Genetics; Sigma-Tau Pharmaceuticals; Soligenix, Inc.; St. Baldrick’s Foundation; StemCyte, A Global Cord Blood Therapeutics Co.; Stemsoft Software, Inc.; Swedish Orphan Biovitrum; *Tarix Pharmaceuticals; *TerumoBCT; *Teva Neuroscience, Inc.; *THERAKOS, Inc.; University of Minnesota; University of Utah; and *Wellpoint, Inc. The views expressed in this article do not reflect the official policy or position of the National Institute of Health, the Department of the Navy, the Department of Defense, Health Resources and Services Administration (HRSA) or any other agency of the U.S. Government. *Corporate Members.
The study funders had no role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.
Footnotes
Author Contributions: Drs Muraro and Sormani had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Muraro, Pasquini, Saccardi.
Acquisition, analysis, or interpretation of data: Muraro, Pasquini, Atkins, Bowen, Farge, Fassas, Freedman, Georges, Gualandi, Hamerschlak, Havrdova, Kimiskidis, Kozak, Mancardi, Massacesi, Moraes, Nash, Pavletic, Ouyang, Rovira, Saiz, Simoes, Trneny, Zhu, Badoglio, Zhong, Sormani and Saccardi.
Drafting of the manuscript: Muraro, Pasquini, Sormani, Saccardi
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Sormani.
Obtained funding: Muraro, Pasquini, Farge.
Administrative, technical, or material support: Badoglio, Zhong.
Study supervision: Muraro.
Declaration of interests
PAM declares honoraria for speaking and travel support from Merck Serono, Biogen, Bayer, and Novartis. JB declares financial relationships as Consultant for Acorda Therapeutics, Biogen IDEC, Genzyme, Genentech, Pfizer/EMD Serono, Novartis, Teva Neuroscience; as speaker for corda Therapeutics, Biogen IDEC, Pfizer/EMD Serono, Novartis, Teva Neuroscience; and as recipient of Grant/Research support from Acorda Therapeutics, Alexion, Avanir, Biogen, EMD Serono, Genzyme, Glaxo Smith Kline, Medimmune, Novartis, Osmotica, Roche, Sanofi-Aventis, Synthon, Vaccinex, Xenoport; and as stock shareholder with Amgen. MSF received honoraria or consultation fees from BayerHealthcare, BiogenIdec, Chugai, EMD Canada, Genzyme, Merck Serono, Novartis, Hoffman La-Roche, Sanofi-Aventis, Teva Canada Innovation; has been a member of a company advisory board, board of directors or other similar group for Actelion, BayerHealthcare, BiogenIdec, Hoffman La-Roche, Merck Serono, Novartis, Opexa, Sanofi-Aventis; and participated in a speaker’s bureau sponsored by Genzyme. VKK received research funding from Janssen-Cilag, BIAL, EISAI, Biogen Idec and also honoraria for consultation from Novartis, Teva and Merck-Serono. GLM has received honoraria for lecturing, travel expenses for attending meetings, and financial support for research from Bayer Schering, Biogen Idec, Sanofi - Aventis, Merck Serono Pharmaceuticals, Novartis, Genzyme and Teva. Albert Saiz has received compensation for consulting services and speaking from Bayer-Schering, Merck-Serono, Biogen-Idec, Sanofi-Aventis, Teva Pharmaceutical Industries Ltd and Novartis. All other co-authors declare no conflict of interest.
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