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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Biol Blood Marrow Transplant. 2017 Jan 20;23(5):767–775. doi: 10.1016/j.bbmt.2017.01.078

Allogeneic Hematopoietic Cell Transplant for Adult Chronic Myelomonocytic Leukemia

Hien D Liu 1, Kwang Woo Ahn 2,3, Zhen-Huan Hu 2, Mehdi Hamadani 2, Taiga Nishihori 4, Baldeep Wirk 5, Amer Beitinjaneh 6, David Rizzieri 7, Michael R Grunwald 8, Mitchell Sabloff 9, Richard F Olsson 10,11, Ashish Bajel 12, Christopher Bredeson 13, Andrew Daly 14, Yoshihiro Inamoto 15, Navneet Majhail 16, Ayman Saad 17, Vikas Gupta 18, Aaron Gerds 19, Adriana Malone 20, Martin Tallman 21, Ran Reshef 22, David I Marks 23, Edward Copelan 8, Usama Gergis 24, Mary Lynn Savoie 25, Celalettin Ustun 26, Mark R Litzow 27, Jean-Yves Cahn 28, Tamila Kindwall-Keller 29, Gorgun Akpek 30, Bipin N Savani 31, Mahmoud Aljurf 32, Jacob M Rowe 33, Peter H Wiernik 34, Jack W Hsu 35, Jorge Cortes 36, Matt Kalaycio 37, Richard Maziarz 38, Ronald Sobecks 37, Uday Popat 39, Edwin Alyea 40, Wael Saber 2
PMCID: PMC5590102  NIHMSID: NIHMS859158  PMID: 28115276

Abstract

Allogeneic hematopoietic cell transplantation (HCT) is potentially curative for patients with chronic myelomonocytic leukemia (CMML), however, few data exist regarding prognostic factors and transplant outcomes. We performed this retrospective study to identify prognostic factors for post-transplant outcomes. The CMML-specific prognostic scoring system (CPSS) has been validated in subjects receiving non-transplant therapy and was included in our study. From 2001–2012, there were 209 adult subjects who received HCT for CMML reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). The median age at transplant was 57 years (range 23–74). Median follow up was 51 months (range, 3–122). On multivariate analyses, CPSS scores, Karnofsky performance status (KPS), and graft source were significant predictors of survival (p=0.004, p=0.01, p=0.01, respectively). Higher CPSS scores were not associated with disease-free survival, relapse, or transplant-related mortality. In a restricted analysis of subjects with relapse following HCT, those with intermediate-2/high risk had a nearly two-fold increased risk of death after relapse compared to those with low/intermediate-1 CPSS scores. Respective 1, 3 and 5-year survival rates for low/intermediate-1 risk subjects were 61% (95% confidence interval [CI], 52%–72%), 48% (95% CI, 37%–59%), and 44% (95% CI, 33%–55%), and for intermediate-2/high risk subjects were 38% (95% CI, 28%–49%), 32% (95% CI, 21% – 42%), and 19% (95% CI,8%–29%). We conclude that higher CPSS score at time of transplant, lower KPS, and a bone marrow (BM) graft are associated with inferior survival after HCT. Further investigation of CMML disease-related biology may provide insights into other risk factors predictive of post-transplant outcomes.

Keywords: Chronic Myelomonocytic Leukemia, Allogeneic Hematopoietic Cell Transplant, Transplant Outcomes

Introduction

Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic stem cell disorder with both myelodysplastic and myeloproliferative properties. In the original French-American-British (FAB) classification, it was included under myelodysplastic syndromes (MDS) with 2 subtypes based upon white blood cell count, an MDS variant (CMML-MD) and a myeloproliferative variant (CMML-MP). However, these concomitant properties made it difficult to classify, prompting a new category of myeloproliferative/myelodysplastic disorders (MPD/MDS) that was formed in the World Health Organization (WHO) classification of myeloid disorders in 2001.1,2 The diagnosis of CMML is characterized by a peripheral blood monocytosis, absence of Philadelphia chromosome, absence of rearrangements of PDGFRA or PDGFRB, presence of <20% blasts in the blood and bone marrow, and evidence of dysplasia in at least one precursor cell lineage (although if myelodyspasia is absent, the diagnosis of CCML can still be made if there is a clonal abnormality or persistent monocytosis and all other causes have been excluded). CMML is further divided into two subcategories with prognostic significance: CMML-1 (presence of <5% blasts in the peripheral blood and <10% blasts in the bone marrow) and CMML-2 (presence of 5–19% blasts in the peripheral blood and 10–19% in the bone marrow). The diagnosis of CMML-2 can also be made if Auer rods are present, irrespective of blast count.3,4

CMML has a heterogeneous clinical course, with much variability in survival and rates of transformation to acute myeloid leukemia. Expected survival ranges from months to several years.57 Rates of transformation to acute myeloid leukemia (AML) range from 4% to 44%.57 In a study reported from MD Anderson Cancer Center (MDACC) of 213 patients, the median survival was 12 months with 19% progressing to AML after a median of 7 months (range, 1 to 96 months).5 Given this wide variability, studies have focused on identifying important risk factors for prognosis and outcomes. A CMML-specific prognostic scoring system (CPSS) assessed at the time of diagnosis has been validated in the non-transplant setting.8 The CPSS incorporates CMML FAB type, CMML WHO type, CMML-specific cytogenetics, and RBC transfusion dependence.

Unfortunately, effective treatment options for CMML are limited. There are no specific therapies for CMML and the optimal treatment is not yet defined. Several studies in patients with MDS receiving azacitidine and decitabine have included CMML patients, however, the number of CMML patients included is small and results are difficult to interpret for this population.9,10 Allogeneic hematopoietic cell transplant (HCT) remains the only potentially curative treatment and outcomes following transplant are sparse.1118 Some of these reports suggest that the percentage of blasts present in the peripheral blood, cytogenetic abnormalities, and transplant type may have prognostic importance following transplant. However, the studies are limited by small numbers of patients from single institutions and no definitive conclusions have been made.

Our retrospective study assessed the outcomes of 209 consecutive adult subjects who underwent HCT for CMML reported to the Center for International Blood and Marrow Transplant Research (CIBMTR) registry from 2001 through 2012. The purpose of our study was to identify prognostic risk factors for post-transplant outcomes.

Patients and Methods

Data Sources

The CIBMTR is a combined research program of the Medical College of Wisconsin and the National Marrow Donor Program. CIBMTR comprises a voluntary network of more than 450 transplantation centers worldwide that contribute detailed data on consecutive allogeneic allogeneic and autologous HCT to a centralized Statistical Center. Observational studies conducted by CIBMTR are performed in compliance with all applicable federal regulations pertaining to the protection of human research participants. Protected health information issued in the performance of such research is collected and maintained in CIBMTR’s capacity as a Public Health Authority under the Health Insurance Portability and Accountability Act Privacy Rule. Additional details regarding the data source are described elsewhere.19

Subject Eligibility

Between 2001 and 2012, 209 adult patients (18 years of age or older) who underwent first HCT from HLA-identical sibling or adult unrelated-donor for CMML were identified for this analysis. Patients receiving cord blood transplants (N=20), ex-vivo T cell depletion (N=6), CD34-selection (N=6), or post-transplant cyclophosphamide (N=1) as part of their graft-versus-host disease (GvHD) prophylaxis were excluded. Subjects missing 100-day follow-up data were also excluded.

Study Endpoints

Primary endpoints were treatment-related mortality (TRM), relapse/progression, disease-free survival (DFS) and survival. TRM was defined as death from any cause in the first 28 days post transplantation, irrespective of relapse status, or death beyond day +28 without any evidence of disease recurrence; relapse was considered a competing event. Relapse/progression was defined as reported by the transplantation centers. DFS is defined as time to relapse or death from any cause. Survival is defined as time to death from any cause. Subjects were censored at time of last follow-up. Secondary endpoints included hematopoietic recovery, acute and chronic graftversus- host disease (GvHD). Hematopoietic recovery was defined as time to absolute neutrophil count ≥0.5 × 109 /L for ≥3 consecutive days and time to platelets ≥20 × 109 /L without transfusions for 7 days, using the first of 3 consecutive results obtained on different days. Acute and chronic GvHD were diagnosed and graded using consensus criteria.20,21 For hematopoietic recovery and GvHD, death without the event was considered a competing event. The transplantation conditioning regimen intensity was determined according to the CIBMTR Reduced-Intensity Conditioning (RIC) Regimen Workshop.22 CPSS scores were calculated at the time of transplant and were based on information from CIBMTR registry. The CPSS scoring system incorporates CMML FAB type, CMML WHO type, CMML-specific cytogenetics, and RBC transfusion dependence.8 Within the CPSS scoring system, there are 4 risk groups: low (score = 0), intermediate-1 (score =1), intermediate-2 (score = 2–3, and high (score = 4–5). each variable is assigned the same weight. A score is calculated by adding together the points according to risk factors. WHO subtype CMML-1 and CMML-2 are assigned 0 and 1 points, respectively. FAB subtype CMML-MD and CMML-MP are assigned 0 and 1 points, respectively. CMML-specific cytogenetic risk classification is as follows: low, normal and isolated -Y (0 points); intermediate, other abnormalities (1 point); high (2 points), trisomy 8, complex karyotype (≥3 abnormalities), and abnormalities of chromosome 7. Of note, the CPSS scoring system also include red blood cell transfusion defined as having at least 1 RBC transfusion every 8 weeks over a period of 4 months. The CIBMTR registry includes information about transfusion dependency, but does not specify the frequency of transfusion.

Statistical Analysis

Descriptive tables of donor- and collection-related variables were prepared. Probabilities of DFS and survival at 1, 3, and 5 years were calculated using the Kaplan-Meier estimator, with lost follow-up treated as a censoring event. Incidence rates for other outcomes were generated using the cumulative incidence estimates to adjust for competing risks (death without the event of interest). Point-wise p-values were calculated to evaluate the differences at specified time points.

Multi-variate analyses for survival, TRM, relapse, and GVHD were performed using the Cox proportional hazard model adjusting for the effects of covariates. Logistic regression was utilized to analyze neutrophil engraftment at 28 days and platelet recovery at 100 days. Covariates considered for prognostic value included: patient-related variables (patient age, gender, and Karnofsky score), disease-related variables (time from diagnosis to transplant, CPSS prior to transplant, treatment prior to transplant), and transplant-related variables (graft source, donor type, donor age, antithymocyte globulin (ATG)/alemtuzumab use, GvHD prophylaxis, donor/recipient sex match, donor/recipient CMV status, year of transplantation). Adjusted analyses of the outcomes were performed where additional covariates and interactions were determined by stepwise selection. We attempted to identify a profile for high vs. low risk prognosis for survival and relapse. Due to the small sample size available, the entire cohort was used for training to select the model and five-fold cross-validation was used to assess out-ofsample performance. We also performed multi-variate analysis for OS restricted to patients who relapsed following HCT. Adjusted cumulative incidence curves were produced for TRM and relapse of the high vs. low risk groups. SAS 9.3 (SAS Inc.) was used for all analyses.

Results

Transplantation Subjects

Subject- and disease-related characteristics are presented in Table 1. Between 2001 and 2012, 209 consecutive adult patients from 94 institutions underwent HCT for CMML. The median ages at transplant for patients with low/intermediate-1 and intermediate-2/high were 59 years and 55 years, respectively. The majority of patients were male (71% in patients with low/intermediate-1 and 66% in intermediate-2/high). Most patients had Karnofsky Performance Scores (KPS) of 90–100%. CPSS scores at the time of transplant (HCT specific CPSS scores) were available for 80% of subjects. Cytogenetic data were available for 86% of subjects. Median time from diagnosis to transplant was 8 months. Approximately one-third of subjects were transplanted from an HLA-identical sibling. The remaining two-thirds were transplanted from unrelated donors; a majority of these subjects (70%) were from well-matched unrelated donors. Peripheral blood (PB) was used as the graft source in 84% of subjects. Myeloablative conditioning regimens were given to 51% of subjects. Almost all patients received non-total body irradiation (TBI) based therapies (only 5 patients received TBI). GVHD prophylaxis mostly consisted of tacrolimus-based regimens (61%). The median follow up of surviving patients was 51 months.

Table 1.

Characteristics of patients received allogeneic HCT for CMML between 2001 and 2012

Variable N (%)
Number of patients 209
Number of centers 94
Patient-related
Age, median 57 (23–74)
Gender
  Male 146 (70)
  Female 63 (30)
Karnofsky score
  90–100% 127 (61)
  < 90% 74 (35)
  Missing 8 (4)
Disease-related
Time from diagnosis to transplant, months 8 (2–170)
HMA and chemotherapy prior to transplant
  HMA 74 (35)
  Chemo 19 (9)
  HMA & chemo 6 (3)
  No HMA or chemo 106 (51)
  Missing 4 (2)
CMML-1 vs. CMML-2
  CMML-1 140 (67)
  CMML-2 52 (25)
  Missing 17 (8)
Blast in marrow prior to transplant
  ≤ 5% 136 (65)
  > 5% 56 (27)
  Missing 17 (8)
HCT Specific CPSS
  Low 38 (18)
  Intermediate-1 52 (25)
  Intermediate-2 63 (30)
  High 16 (8)
  Missing 40 (19)
Platelet count prior to transplant
  ≥ 100 × 109/L 88 (42)
  < 100 × 109/L 121 (58)
ANC prior to transplant
  ≥ 1500 /uL 143 (68)
  < 1500 /uL 54 (26)
  Missing 12 (6)
Transplant-related
Graft type
  Bone marrow 33 (16)
  Peripheral blood 176 (84)
Type of donor
  HLA-identical sibling 73 (35)
  Well-matched unrelated 95 (45)
  Partially-matched unrelated 32 (15)
  Mis-matched unrelated 4 (2)
  Unrelated (matching indeterminable) 5 (2)
Donor age, median
  HLA-identical sibling 54 (27–74)
  URD 34 (19–61)
D-R sex match
  M-M 96 (46)
  M-F 40 (19)
  F-M 50 (24)
  F-F 22 (11)
  Missing 1 (<1)
D-R CMV status
  +/+ 47 (22)
  +/− 24 (11)
  −/+ 63 (30)
  −/− 65 (31)
  Missing 10 (5)
Year of transplant
  2001–2003 39 (19)
  2004–2006 51 (24)
  2007–2009 53 (25)
  2010–2012 66 (32)
Conditioning regimen combination
  Myeloablative 105 (50)
  RIC/NMA 99 (48)
  Missing 5 (2)
Serotherapy used
  ATG alone 58 (28)
  CAMPATH alone 8 (4)
  No ATG or CAMPATH 132 (63)
  Missing 11 (5)
GVHD prophylaxis
  CSA based 78 (37)
  TAC based 127 (61)
  MTX alone 2 (<1)
  Missing 2 (<1)
Median follow-up of survivors (range), months 51 (3–122)

Hematopoietic Recovery

On univariate analysis, rates of neutrophil recovery at days 28 and 100 were comparable between subjects with low/intermediate-1 and those with intermediate-2/high HCT specific CPSS scores (94% [95% CI, 86%–98%] and 89% [95% CI, 79% to 95%] at day 28, respectively, p=0.40; 99% [95% CI, 87% to 100%] and 96% [95% CI, 80% to 99%] at day 100, respectively, p=0.51). Platelet recovery at day 28 was comparable between groups. However, more subjects in the low/intermediate-1 group achieved platelet recovery at day 100 compared to the intermediate-2/high risk group (94% [95% CI, 86% to 98%] compared to 80% [95% CI, 69% to 87%] (p=0.007). There were no primary graft failures. (Table 2)

Table 2.

Univariate analysis for patients who received allogeneic HCT for CMML between 2001 and 2012

Study population (N = 209)
Outcomes N Eval Prob (95% CI)
Neutrophil engraftment 206
  28-day 92 (88–95)%
  100-day 97 (95–99)%
Platelet recovery 207
  28-day 66 (59–72)%
  100-day 86 (81–90)%
Acute GVHD 209
  100-day 36 (30–43)%
Chronic GVHD 209
  1-year 45 (38–52)%
  3-year 47 (40–54)%
  5-year 47 (40–54)%
Relapse 200
  1-year 46 (39–53)%
  3-year 50 (43–57)%
  5-year 52 (45–59)%
Treatment related mortality 200
  1-year 19 (14–25)%
  3-year 23 (18–30)%
  5-year 28 (21–35)%
Disease free survival 200
  1-year 35 (28–42)%
  3-year 27 (21–33)%
  5-year 20 (14–27)%
Overall survival 209
  1-year 50 (43–57)%
  3-year 38 (31–45)%
  5-year 30 (23–37)%

Neutrophil engraftment and platelet recovery between subjects receiving PB and BM graft were also compared. Neutrophil engraftment at day 28 was lower for subjects in the BM group; however by day 100, groups were similar: BM group 78% (95% CI, 59%–89%) and PB group 94% (95% CI, 89%–97%) at day 28, BM group 94%(95% CI, 69%–99%) and PB group 98%(93%–99%) at day 100. Platelet recovery at day 28 was again lower for subjects in the BM group; however by 100, groups were again similar: BM group 44% (95% CI, 26%–60%) and PB group 70% (95% CI, 62%–76%) at day 28, BM group 73%(95% CI, 51%–86%) and PB group 88%(95% CI, 82%–92%) at day 100.

Acute and Chronic GvHD

On univariate analysis, the cumulative incidence of grades ≥2 to 4 acute GvHD at day 100 were comparable between those with low/intermediate-1 and intermediate-2/high risk disease groups (34% [95% CI, 24% to 44%] and 38% [95% CI, 27% to 49%], respectively). On multivariate analysis, only donor type was associated with acute GvHD (p=0.002). The cumulative incidence of chronic GVHD at 1, 3, and 5 years were also comparable between groups (50% [95% CI, 38% to 60%] and 41% [95% CI 30% to 52%] at 1 year; 51% [95% CI, 40% to 61%] and 41% [95% CI, 30% to 52%] at 3 years; 51% [95% CI 40% to 61%] and 41% [95% CI, 30% to 52%], respectively). (Table 2) On multivariate analysis, only donor type was associated with acute GvHD (p=0.002). (Table 3)

Table 3.

Multi-variate analysis for adult CMML subjects who received allogeneic HCT between 2001 and 20121

1. Survival Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 88 1 0.0045
Intermediate 2 & High 79 1.927 1.299–2.858 0.0011
Missing 42 1.571 0.976–2.529 0.0627
KPS
90–100% 127 1 0.0119
<90% 74 1.717 1.200–2.457 0.0031
Missing 8 1.444 0.625–3.336 0.39
Graft type
BM 33 1 0.0196
PB 176 0.584 0.371–0.917 0.0196
Contrast
Intermediate 2 & High vs. Missing 1.2263 0.774–1.942 0.3845
<90% vs. Missing 1.1893 0.508–2.784 0.6896

2. DFS Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 85 1 0.2065
Intermediate 2 & High 76 1.38 0.965–1.972 0.0772
Missing 39 1.137 0.729–1.773 0.5722
KPS
90–100% 119 1 0.0183
<90% 74 1.607 1.156–2.234 0.0047
Missing 7 1.297 0.562–2.997 0.5423
Contrast
Intermediate 2 & High vs. Missing 1.2138 0.781–1.886 0.3885
<90% vs. Missing 1.2387 0.530–2.894 0.621

3. TRM Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 85 1 0.0884
Intermediate 2 & High 76 1.485 0.762–2.895 0.2455
Missing 39 2.183 1.089–4.375 0.0277
KPS
90–100% 119 1 0.0301
<90% 74 2.15 1.219–3.790 0.0081
Missing 7 1.348 0.315–5.768 0.6869
Contrast
Intermediate 2 & High vs. Missing 0.6803 0.344–1.343 0.2668
<90% vs. Missing 1.5943 0.369–6.887 0.5321

4. Relapse Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 85 1 0.118
Intermediate 2 & High 76 1.321 0.869–2.009 0.1929
Missing 39 0.719 0.393–1.316 0.2851
Contrast
Intermediate 2 & High vs. Missing 1.8369 1.001–3.372 0.0498

5. Acute GVHD Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 88 1 0.592
Intermediate 2 & High 79 1.266 0.779–2.057 0.3418
Missing 42 1.014 0.544–1.890 0.9656
Donor
HLA identical sibling 73 1 0.0017
Well-matched URD 95 1.063 0.633–1.785 0.8165
Partially-matched URD or MM URD 36 2.836 1.560–5.156 0.0006
Missing (URD) 5 2.304 0.694–7.651 0.1727
Contrast
Intermediate 2 & High vs. Missing 1.2483 0.677–2.304 0.478
Well-matched URD vs. Partially-matched or MM URD 0.3749 0.211–0.665 0.0008
Well-matched URD vs. Missing (URD) 0.4614 0.140–1.516 0.2024
Partially-matched or MM URD vs. Missing (URD) 1.2308 0.361–4.198 0.7401

6. Chronic GVHD Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 88 1 0.9131
Intermediate 2 & High 79 1.087 0.681–1.734 0.7263
Missing 42 1.107 0.623–1.967 0.7289
Contrast
Intermediate 2 & High vs. Missing 0.9819 0.535–1.802 0.953

7. OS after relapse2 Overall
HCT Specific CPSS N RR 95% CI p-value p-value
Low & Intermediate 1 46 1 0.0262
Intermediate 2 & High 44 1.993 1.199–3.311 0.0078
Missing 14 1.737 0.836–3.608 0.1389
1

The majority of the patients achieved neutrophil engraftment by day 28 and platelet recovery by day 100 (Table 2), therefore multi-variate analysis was not performed for them.

List of abbreviations: disease free survival (DFS), overall survival (OS), transplant related mortality (TRM), non-relapse mortality (NRM), bone marrow (BM), myeloablative (MAC), second primary malignancy (SPM), lactate dehydrogenase (LDH), red blood cell (RBC), peripheral blood (PB)

2

Overall survival was compared with relapse instead of using the left-truncated model, so analysis was performed starting at the time of relapse and non-relapse patients were excluded in this model.

Treatment Related Mortality

On univariate analysis, there was no significant difference in TRM at 1, 3, or 5 years between low/intermediate-1 (15% [95% CI, 9% to 24%], 20% [95% CI, 12% to 29%] and 22% [95% CI, 13% to 32%]) and intermediate-2/high risk groups (19% [95% CI, 11% to 29%], 21% [95% CI, 12% to 31%], and 26% [16% to 37%], respectively). (Table 2) On multivariate analysis, higher HCT specific CPSS scores and KPS scores were not associated with TRM (p=0.08 and p=0.03, respectively). (Table 3)

Relapse

On univariate analysis, relapse rates at 1, 3, and 5 years between low/intermediate-1 and intermediate-2/high groups were comparable (46% [95% CI, 35% to 56%], 50% [95% CI, 39% to 61%], 52% [95% CI, 40% to 63%], respectively, and 54% [95%CI, 41% to 64%], 56% [95% CI, 44% to 67%], and 60% [95% CI, 47 % to 70%], respectively). On multivariate analysis, HCT specific CPSS scores were not associated with relapse (p=0.112). (Table 3)

Survival Outcomes

On univariate analysis, DFS rates were comparable: for low/intermediate-1 risk groups, at 1, 3, and 5 years were 38% (95% CI, 28% to 49%), 30% (95% CI, 20% to 40%), and 26% (95% CI, 17% to 37%), respectively, and for intermediate-2/high risk groups were 28% (95% CI, 18% to 38%), 23% (95% CI, 14% to 33%), and 14% (95% CI, 6% to 24%), respectively. On multivariate analysis, CPSS scores did not impact DFS (p=0.21), however higher KPS scores were associated with improved DFS (p=0.02). (Table 3)

On univariate analysis, low/intermediate-1 risk groups had higher rates of OS at 1, 3, and 5 years: corresponding rates for low/intermediate-1 risk groups were 61% (95% CI, 51% to 71%), 48% (95% CI, 37% to 59%), and 44% (95% CI, 33% to 56%) respectively and for intermediate-2/high risk groups were 38% (95% CI 27% to 49%), 31% (95% CI, 21% to 42%), and 18% (95% CI, 8% to 30%) respectively. (Table 2) On multivariate analysis, HCT specific CPSS scores, KPS and graft source were significant predictors of survival (p=0.005, p=0.01, and p=0.02, respectively). Patients receiving PB had more favorable outcome. (Table 3) Adjusted OS and DFS starting at time of transplant, based on HCT specific scores, are shown in Figures 1 and 2.

Figure 1.

Figure 1

Adjusted disease free survival and overall survival, starting at the time of transplant, by HCT Specific CPSS

Figure 2.

Figure 2

Adjusted disease free survival and overall survival, starting at the time of transplant, by HCT Specific CPSS

To investigate why higher HCT specific CPSS scores were associated with higher mortality but not DFS, we performed multivariate analysis restricted to patients with relapse following HCT. Those with intermediate-2/high risk had nearly two-fold increased risk of death after relapse compared to those with low/intermediate-1 HCT specific CPSS scores.

On multivariate analysis, survival of patients who received pre-HCT treatment with hypomethylating agents (HMA), chemotherapy, or both was not different compared to those who received no prior therapy (p=0.96).

Discussion

Allogeneic HCT remains the only potentially curative treatment for patients with CMML. Few data exist regarding transplant outcomes and there are no randomized clinical trials comparing transplant to non-transplant approaches. Most studies are limited by their retrospective nature and small sample size. (Table 4) While our study is also retrospective, it represents a large series with a long median follow up. The median age of our patients was 57 years, older than in other reported studies.1118, 22 The median follow up in our study is 51 months, longer than in most other reported studies.1113, 1518, 2327 Subjects underwent either myeloablative or RIC preparative regimen. The majority of patients received PB as their graft source. Our study is unique in that we not only describe transplant outcomes, but we also validated a predictive model for survival and relapse. Patient stratification according to HCT specific CPSS scores was prognostic for transplant outcomes.

Table 4.

Allogeneic hematopoietic transplant studies in patients with CMML

Patien
ts
Medi
an
age
Conditioni
ng
Cell
source
DF
S/
PFS
%
OS
%
TRM/NR
M
%
Relapse
%
Median
follow
up,
months
Factors
predictive
of OS
Zang et al (2000)10 21 47 MAC: 21 RIC: 0 BM: 21 PB: 0 25 (3 yrs) 39 (3 yrs) 34 23 Unknown Patients transplanted early (< 12 months from diagnosis) had better survival.
Kroger et al (2002)11 50 44 MAC: 50 RIC:0 BM: 40 PB: 9 18 (5 yrs) 21 (5 yrs) 52 49 40 (range, 11 to 110) No correlation
Mittal et al (2004)12 8 51 MAC: 4 RIC: 4 BM: 4 PB: 4 37 (2 yrs) 47 (2 yrs) 13 63 17.5 Number too small
Kerbauy et al (2005)13 43 48 MAC: 41 RIC: 2 BM: 23 PB: 20 41 (4 years) 41 (4 years) 34 23 (4 years) 69 (range, 7 to 171) MDAPS not correlative. Higher comorbidity scores associated with worse OS
Elliot et al (2006)14 17 50 MAC:16 RIC: 1 BM: 8 PB: 7 18 (3 yrs) 18 (3 yrs) 41 41 34.5 No correlation
Laport et al (2008)15 7 59 MAC: 0 RIC: 7 Unknown, likely PB 43 (3 yrs) 43 (3 yrs) 32 (3 years) 57 47 (range, 6 to 89) Number too small
Krishnamur thy et al (2010)14 18 54 MAC:1 RIC 17 BM: 18 PB: 36 31% (3 yrs) 22 44 40 (range, 1 to 59) None
Eissa et al (2011)23 85 51 MAC: 58 RIC: 27 BM: 32 PB: 53 40 (10 yrs) 42 (5 years) 35 (10 years) 27 (10 yrs) 62 (range, 6 to 229) MDAPS not correlative. Mortality negatively correlated with pre-HCT hematocrit and increased high-risk cytogenetics, higher HCT comorbidity index, and increased age
Lim et al (2013)24 7 43 MAC: 3 RIC: 7 BM: 2 PB: 7 51 (5 years) 42% (5 years) 14 29 (5 years) 47.5 (range, 4.6 to 98.8) Number too small
Park et al (2013)25 73 53 MAC: 30 RIC: 43 BM: 27 PB: 46 29 (3 years) 42 (2 years) 32 (3 years) 36 (3 years) 29 (3 years) 23 (range, 1–145) Palpable SPM, transplant performed prior to 2004 correlated with poorer OS
Bajel et al (2014)26 57 56 MAC:28 RIC: 29 BM: 3 PB: 54 40 (6 years) 27 (6 years) 39 (6 years) 35 (6 years) 15.3 (range, 0.6 to 154) In multivariate analysis, age < 50yo, non-sibling donor, and lymphocyte count > 2.9 × 109/L were associated with worse OS and PFS. Bone marrow blasts pre-transplant were associated with higher risk of relapse.
Sanchez et al (2014)27 28 60 MAC: 16 (T-cell depleted) RIC: 12 BM: 2 PB: 23 Cord: 3 74 (3 years) 71 (3 years) 7 (1 year) 13 (1 year) 39.6 (range, 3 to 35)
Symeonidis et al (2015)17 513 53 MAC: 249 (52%) RIC: 226 (48%) BM: 119 (23%) PB: 394 (77%) 27% (4 years) 33% (4 years) 31% (1 year) 41% (4 years) 32 (4 years) Patients transplanted in CR had lower probability for non-relapse death and longer survival.
Kongtim et al (2016)18 83 57 MAC: 64 (77%) BM: 35 (42%) PB: 48 (58%) 34% (3 years) CMML-1/2: 36% (3 years) CMML/A ML: 32% (3 years) 25% (day 100) 31% (1 year) 33% (3 years) 48 Use of HMA therapy was associated with lower relapse at 3 years (22% compared to 35%, p=0.03) and higher PFS at 3 years (43% compared to 27%, p=0.04)

List of abbreviations: myeloablative (MAC), reduced intensity conditioning (RIC), bone marrow (BM), peripheral blood (PB), disease free survival (DFS), progression free survival (PFS), overall survival (OS), transplant related mortality (TRM), nonrelapsed mortality (NRM), MDAPS (MD Anderson Prognostic Score)

Given the heterogeneity of clinical outcomes for patients with CMML, it is important to better define and stratify risk for patients with CMML. The International Prognostic Scoring System (IPSS) is widely used for myelodysplastic syndrome. However, for CMML patients, analysis and validation were restricted to patients with WBC < 12 × 109/L, excluding patients with myeloproliferative characteristics and not applicable for all patients with CMML.28 There are several prognostic scoring systems developed for CMML, however, they each have limitations and have not been validated in the setting of transplant.5,6,2931 (Table 5) The CPSS incorporates CMML FAB type, CMML WHO type, CMML-specific cytogenetics, and RBC transfusion dependence. The CPSS calculated at diagnosis is a simple scoring system that was developed in the large patient sample size and was externally validated, in the non-transplant setting.8 The CPSS score at diagnosis has been shown to be predictive of survival and risk of progression to AML. Our study sought to validate the CPSS, calculated at the time of transplant, in the setting of HCT. In multivariate analysis, higher HCT specific CPSS scores were associated with inferior survival. It was not, however, associated with DFS, relapse, or TRM. In order to further investigate why higher HCT specific CPSS scores were associated with higher mortality, but not with DFS, we performed an analysis restricted to subjects who relapsed after transplant. This revealed that subjects with intermediate-2/high risk HCT specific CPSS scores had a nearly two-fold increased risk of death after relapse compared to those with low/intermediate-1 HCT specific CPSS scores. Intermediate-2/high risk patients do have higher disease burden and poorer risk cytogenetic abnormalities. Higher HCT specific CPSS scores are predictive of poorer treatment response and more aggressive biology. Interestingly, regardless of HCT specific CPSS scores, the main cause of death was primary disease. (Table 6) Post-transplant donor lymphocyte infusion and/or 2nd HSCT were similar between groups. Other post-transplant strategies, such as azacitidine maintenance in patients with myelodysplastic syndromes or acute myeloid leukemia, may be beneficial for these patients and warrants further investigation.32

Table 5.

Prognostic scoring systems in CMML patients

Patients External
Validation
Variables included in
final scoring system
MD Anderson prognostic score5 213 No
  1. Hemoglobin < 12g/dL

  2. Circulating immature myeloid cells

  3. Absolute lymphocyte count > 2.5 × 109/l

  4. Bone marrow blasts ≥ 10%

Dusseldorf score6,29 288 No
  1. Bone marrow blasts ≥ 5%

  2. LDH > 200 u/l

  3. Hemoglobin ≤ 9g/dL

  4. Platelets ≤ 100 × 109/l

Spanish cytogenetic risk stratification system30 414 No
  1. Low risk: normal karyotype or loss of Y chromosome as single anomaly

  2. High risk: presence of trisomy 8 or abnormalities of chromosome 7, or complex karyotype

  3. Intermediate risk: all other abnormalities

CMML-specific prognostic scoring system8 578 Yes
  1. CMML FAB type

  2. CMML WHO type

  3. CMML-specific cytogenetics*

  4. RBC transfusion dependence

Mayo prognostic model31 226 Yes
  1. Absolute monocyte count > 10 × 109/l

  2. Presence of circulating blasts

  3. Hemoglobin < 10g/dL

  4. Platelet count < 100 × 109/l

*

CMML-specific cytogenetic risk classification: low, normal and isolated –Y; intermediate, other abnormalities; and high, trisomy 8, complex karyotype (≥3 abnormalities), and abnormalities of chromosome 7

Table 6.

Causes of death, according to HCT Specific CPSS

Cause of death Low / Intermediate-1 Intermediate-2 / High
Primary disease 21 (46) 23 (41)
Graft failure 0 2 (4)
GVHD 5 (11) 13 (23)
Infection 3 (7) 7 (13)
IPn/ARDS 3 (7) 0
Organ failure 4 (9) 8 (14)
Secondary malignancy 3 (7) 0
Other cause 3 (7) 2 (4)
Unknown 3 (7) 1 (2)
Missing 1 (2) 0

We observed favorable survival with PB graft compared to BM. The majority of subjects received PB grafts. While the incidence of acute or chronic GVHD was comparable between those who received PB or bone marrow grafts, subjects who received PB grafts had improved survival compared with those who received bone marrow. This is contrary to what has been reported in other studies.3336 It is also interesting to note that no deaths in the bone marrow graft group were due to graft failure. It is unclear why those patients with BM had poorer survival; however our study is limited in that only a small number of subjects received bone marrow grafts (16%).

We also evaluated the effect of prior therapy on transplant. Few published studies have included information on use of HMA and transplant outcomes. Over the last decade, hypomethylating agents have become a cornerstone of therapy for MDS and CMML.3742 We cannot determine whether pre-transplant HMA therapy or chemotherapy affected transplant eligibility. However, our data shows that pre-transplant treatment with HMA therapy or chemotherapy had no impact on transplant outcomes. This is contrary to a recent publication from Kongtim et al that reports lower relapse and improved progression-free survival for patients treated with hypomethylating agents prior to alloHCT.18

Our registry-based study is limited to the data contained in the CIBMTR database. Transplantations were performed at many different institutions, with varying conditioning regiments and GvHD prophylaxis. We recognize that the original CPSS score was calculated at time of diagnosis. We use the same variables that are part of the original CPSS, now calculated at the time of transplant, to attempt to validate this scoring system in the HCT setting. Another limitation of our study is that data regarding CPSS was missing for many of our subjects (20%). Another limitation is regarding missing details of transfusion dependence; as part of criteria for the CPSS, transfusion dependence is defined as requiring at least 1 red blood cell transfusion every 8 weeks over a period of 4 months.8 While patients may meet this minimal criteria, we do not have data on how many transfusions and how frequently these transfusions were required for our subjects. We also do not have data on whether subjects had splenomegaly prior to HCT, which has been suggested to also have prognostic significance.25

We conclude that allogeneic HCT remains an important treatment that is curative for some patients with CMML. Higher HCT specific CPSS scores, lower KPS, and bone marrow graft source are associated with inferior outcomes following allogeneic HCT. Future investigation to further elucidate the biology of CMML may help identify other risk factors that better predict which patients benefit most from transplant.

Highlights.

  • Hematopoietic cell transplant is an important and potentially curative treatment option for patients with chronic myelomonocytic leukemia.

  • Higher CPSS scores, lower performance status, and bone marrow graft are associated with inferior survival post-BMT.

  • Treatment with hypomethylating agents or chemotherapy prior to transplant did not impact transplant outcomes.

Acknowledgments

I. CIBMTR Support List

The CIBMTR is supported primarily by Public Health Service Grant/Cooperative Agreement 5U24-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 N00014-15-1-0848 and N00014-16-1-2020 from the Office of Naval Research; and grants from *Actinium Pharmaceuticals, Inc.; Alexion; *Amgen, Inc.; Anonymous donation to the Medical College of Wisconsin; Astellas Pharma US; AstraZeneca; Atara Biotherapeutics, Inc.; Be the Match Foundation; *Bluebird Bio, Inc.; *Bristol Myers Squibb Oncology; *Celgene Corporation; Cellular Dynamics International, Inc.; Cerus Corporation; *Chimerix, Inc.; Fred Hutchinson Cancer Research Center; Gamida Cell Ltd.; Genentech, Inc.; Genzyme Corporation; Gilead Sciences, Inc.; Health Research, Inc. Roswell Park Cancer Institute; HistoGenetics, Inc.; Incyte Corporation; Janssen Scientific Affairs, LLC; *Jazz Pharmaceuticals, Inc.; Jeff Gordon Children’s Foundation; The Leukemia & Lymphoma Society; Medac, GmbH; MedImmune; The Medical College of Wisconsin; *Merck & Co, Inc.; *Mesoblast; MesoScale Diagnostics, Inc.; *Miltenyi Biotec, Inc.; National Marrow Donor Program; Neovii Biotech NA, Inc.; Novartis Pharmaceuticals Corporation; Onyx Pharmaceuticals; Optum Healthcare Solutions, Inc.; Otsuka America Pharmaceutical, Inc.; Otsuka Pharmaceutical Co, Ltd. – Japan; PCORI; Perkin Elmer, Inc.; Pfizer, Inc; *Sanofi US; *Seattle Genetics; *Spectrum Pharmaceuticals, Inc.; St. Baldrick’s Foundation; *Sunesis Pharmaceuticals, Inc.; Swedish Orphan Biovitrum, Inc.; Takeda Oncology; Telomere Diagnostics, Inc.; University of Minnesota; 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

Footnotes

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