Abstract
The late adverse events in long-term survivors after myeloablative conditioned allogeneic hematopoietic cell transplantation with ex-vivo CD34+ selection are not well characterized. Using the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) version 4.0, we assessed all grade ≥ 3 toxicities from the start conditioning to date of death, relapse, or last contact in 131 patients that survived > 1-year post-transplantation, identifying 285 individual toxicities among 17 organ-based toxicity groups. Pre-transplantation absolute lymphocyte count > 0.5 K/mcL and albumin > 4.0 g/dL were associated with a reduced risk of toxicities, death and non-relapse mortality (NRM), while ferritin > 1000 ng/mL was associated with an increased risk of toxicities and NRM after 1-year. HCT-CI ≥ 3 was associated with an increased risk of all-cause death and NRM, but was not associated with a specific increased toxicity risk after 1-year. Those that incurred more than the median number of toxicities (n=7) among all patients within the first year subsequently had an increased risk of hematologic, infectious, and metabolic toxicities, and had an increased risk of NRM and inferior 4-year OS, 67% versus 86% (p=0.003) after the 1-year landmark. Developing grade 2-4 GVHD within the first year was associated with incurring > 7 toxicities within the first year (p=0.016), and was associated with an increased risk of all-cause death and NRM after 1-year. In multivariate models, cardiovascular, hematologic, hepatic, infectious, metabolic, neurologic, and pulmonary toxicities incurred after 1-year all independently increased the risk of death and NRM when adjusting for both HCT-CI and grade 2-4 GVHD within the first year. One-year survivors of ex-vivo CD34+ selection had a favorable 4-year OS of 77%, though the development of grade ≥ 3 toxicities after the first year was associated with poorer outcomes, emphasizing the fundamental importance of improving survivorship efforts that may improve long-term toxicity burden and outcome.
Introduction:
The advent of innovative supportive care and transplantation techniques has improved long-term survival following allogeneic hematopoietic cell transplantation (allo-HCT).1 In particular, CD34+ stem cell enrichment and T cell depletion modalities have contributed to favorable outcomes free from graft-versus-host disease (GVHD). Multiple prior studies of patients with hematologic malignancies treated with myeloablative conditioning regimens and ex-vivo CD34+ stem cell selected donor allografts demonstrated durable disease control and low rates of acute and chronic GVHD without the need for prolonged pharmacologic immunosuppression.2-13 The ongoing Bone Marrow Transplant Clinical Trials Network Protocol 1301 () [PROGRESS II] is prospectively comparing 3 GVHD prophylaxis strategies including: ex-vivo CD34+ selection with the CliniMACS® Reagent System (Miltenyi), post-transplantation cyclophosphamide and standard tacrolimus and methotrexate.14-19 These transplantation platforms have unique features and are therefore differentiated by intrinsically distinctive toxicities.20-23
Much of the available literature regarding long-term outcomes after allo-HCT has focused on disease-related mortality and broad causes of non-relapse mortality (NRM).24,25 Moreover, there is a paucity of literature detailing the characteristic adverse events occurring in adults with hematologic malignancies undergoing ex-vivo CD34+ selected allo-HCT, particularly late adverse events. We aimed to elaborate on our experience by compiling a comprehensive database of high-grade toxicities incurred by patients undergoing allo-HCT using ex-vivo CD34+ selection as GVHD prophylaxis at Memorial Sloan Kettering Cancer Center (MSKCC). In this study, our specific focus was the assessment of toxicities occurring after the 1-year post-transplant landmark in an effort to identify factors that predicted for specific individual toxicities, non-relapse mortality (NRM) and overall survival (OS), and to identify patients at risk for late toxicity and unfavorable long-term outcomes.
Methods:
Patients, Graft Sources and Conditioning Regimens:
Eligible patients were ≥ 18 years old with adequate pre-transplant organ function who underwent matched-related donor (MRD), mismatched-related donor (MMRD), matched-unrelated donor (MUD) or mismatched unrelated donor (MMUD) granulocyte colony-stimulating factor (G-CSF) mobilized peripheral blood stem cell (PBSC) allo-HCT for any hematologic malignancy using ex-vivo CD34+ selection (CliniMACS® CD34 Reagent System, Miltenyi, Gladbach, Germany) as GVHD prophylaxis between 2006 and 2012. Data was extracted from the electronic medical record with a data-cutoff of December 31, 2015. No further pharmacologic GVHD prophylaxis was given post-transplant. Human leukocyte antigen (HLA) typing was performed using high-resolution DNA sequence-specific oligonucleotide typing for the HLA−A, −B, −C, −DRB1 and −DQB1 loci. Patients who had been previously typed using intermediate resolution methods were re-typed with high-resolution methods that were used to define the level of mismatch. All patients were treated with one of four of the following conditioning regimens at the discretion of the treating physician based on age, comorbidities, and disease type: busulfan, melphalan, fludarabine (bu/mel/flu); clofarabine, melphalan, thiotepa (clo/mel/thio); total body irradiation, thiotepa, cyclophosphamide (TBI/thio/cy); or TBI, thiotepa, and fludarabine (TBI/thio/flu) as previously described.4,6,7 All patients received rabbit anti-thymocyte globulin (ATG) 2.5 to 5 mg/kg/day on days −3, −2.5,21 Patients who received a TBI-based preparative regimen received keratinocyte growth factor (KGF) 60 mcg/kg IV on days −13, −12, −11 and 0, +1, +2.26 G-CSF was initiated on day +7 until absolute neutrophil count (ANC) recovery. For patients receiving PK-targeted Bu-based MAC regimens, first dose Bu pharmacokinetic was performed to a target area-under-the-curve (AUC) range of 4100 – 5300 micromol*min/L. All patients received standard supportive care for prevention of sinusoidal obstruction syndrome (SOS) and opportunistic anti-microbial prophylaxis according to standard MSKCC institutional guidelines.
Toxicity Collection and Biostatistical Methods
“Late survivor” was defined as being alive and without disease relapse or disease progression at 1-year post-HCT. For these patients, we retrospectively collected all individual grade ≥ 3 toxicities using the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) version 4.0 from the start of the conditioning regimen to the date of death, relapse or progression of disease, or last contact. For the purposes of statistical analyses, diseases were separated into the following 3 groups: acute leukemia/myelodysplastic syndrome (MDS), multiple myeloma, and other malignancies. Also, conditioning regimen types were classified as chemotherapy-based or TBI-based. The post-transplant time-periods analyzed were: +1 to 2 years, +2 to 3 years, +3 to 4 years, and beyond 4 years. We employed a standard toxicity review structure with the guidance of CTCAE v. 4.0, and we performed audits wherein different reviewers performed toxicity assessments on several of the same patients in order to minimize inter-reviewer variability. Individual toxicities were organized into 17 organ- and laboratory parameter-based groups and further classified by specific toxicity as shown in Appendix 1. In order to avoid multiple counting, infectious toxicities were separated into: febrile neutropenia without a source, febrile neutropenia with an identified source, neutropenic sepsis, non-neutropenic sepsis, and non-neutropenic bacteremia. Viral reactivations without organ disease were excluded and recurrence intervals for all infections were based on the CIBMTR classification.27 The highest individually graded toxicity per specified post-HCT time period was recorded and used for the purposes of statistical analyses.
The cumulative incidences (CI) of all individual toxicity groups occurring after 1-year were assessed; competing risk for this analysis included death, relapse or progression of disease, or second transplant. Cause-specific Cox regression assessed the risk of individual toxicities based on patient and transplantation characteristics including the hematopoietic cell transplantation co-morbidity index (HCT-CI), development of GVHD and the total toxicities observed in the initial year after transplantation.28 Cox regression also assessed the univariate and multivariate associations for the endpoints of non-relapse mortality (NRM) and any-cause mortality. Toxicities were included as potential predictors in these models by treating each toxicity as a time-dependent covariate. Separate multivariate models adjusted for 1-year GVHD and HCT-CI; these were selected based on the number of events and the univariate associations of the two factors. Kaplan-Meier methods were used to estimate overall survival and progression-free survival after the 1-year post-transplantation landmark.29 All analyses were conducted using the R v3.3.2.
Results:
There were 131 late survivors included in this analysis with a median follow-up among survivors of 36 months. Baseline patient and transplantation characteristics are shown in Table 1. Median age was 55 (range 19-72). Patients had the following diseases: 50 (38%) with acute myeloid leukemia, 12 (9%) with acute lymphoid leukemia, 3 (2%) with acute leukemia not otherwise specified, 32 (25%) with MDS, 15 (11%) with multiple myeloma, and 19 (15%) with other malignancies which included 8 with myeloproliferative neoplasms, 7 with chronic myeloid leukemia, 3 with non-Hodgkin lymphoma, and 1 patient with T-cell prolymphocytic leukemia. The most common toxicities in patients after 1-year post-transplantation were hematologic with a cumulative incidence at 4-years after the landmark of 33% [95% confidence interval (CI) 25-42%], infectious 27% (95% CI 20-35%), metabolic 22% (95% CI 15-29%), hepatic 17% (95% CI 11-23%), and cardiovascular 10% (95% CI 6-16%). Appendix 2 demonstrates the cumulative incidences of all the toxicity groups. Among all late survivors, there were 285 individual toxicities recorded during the study period, 215 (75%) of which occurred within the +1 to 2-year post-transplantation period, 49 (17%) occurred in the +2 to 3 year post-transplantation period, and 21 (7%) of which occurred > 3 years post-transplantation. The median number of toxicities per patient in the +1 to 2-year post-transplantation period was 2. Appendix 3 details all of the individual toxicities incurred among all patients during the study period categorized based on the respective toxicity group and subgroup.
Table 1.
Baseline Patient and HCT Characteristics for Patients Alive and Relapse-Free at 1-Year Post-Transplantation
| Characteristic | N=131 (%) |
|---|---|
| Age, Median (Range) | 55 (19-72) |
| < 60 | 85 (65) |
| ≥ 60 | 46 (35) |
| Gender | |
| Female | 69 (53) |
| Male | 62 (47) |
| Disease | |
| AML/ALL/MDS | 97 (74) |
| MM | 15 (11) |
| Other | 19 (15) |
| Regimen | |
| Chemo-based | 83 (71) |
| TBI-based | 38 (29) |
| HLA Matching | |
| MRD | 51 (39) |
| MMRD | 1 (<1) |
| MURD | 53 (40) |
| MMURD | 26 (20) |
AML indicates acute myeloid leuekemia, ALL, acute lymphocytic leukemia; MDS, myelodysplastic syndrome; MM, multiple myeloma; TBI, total-body irradiation; HLA, human-leukocyte antigen; MRD, matched related donor; MMRD, mismatched-related donor; MURD, matched-unrelated donor; MMURD, mismatched unrelated donor.
Notably, there were 69 individual infectious toxicities among all patients over the study period, the majority of which included: lung infections (32%), bacteremias (22%), upper respiratory infections (7%), sepsis (6%), urinary tract infections (4%), Epstein-Barr virus post-transplant lymphoproliferative disorders (EBV-PTLD, 3%), cytomegalovirus (CMV) reactivations (3%) and human herpesvirus-6 reactivations (3%). The 56 individual hematologic toxicities among all patients were comprised mostly of cytopenias (80%). The 23 individual hepatic toxicities largely included lab abnormalities (96%) such as transaminitis, alkaline phosphatase elevations and hyperbilirubinemia; there were no cases of late sinusoidal obstruction syndrome. A majority of individual cardiovascular toxicities were related to hypertension (32%), and of all 12 late pulmonary toxicities, 25% were cases of acute respiratory distress syndrome. There were few late neurologic events, and of the 11 total toxicities, 27% were cognitive disturbances. The median number of individual toxicities incurred per patient within the first year post-transplantation was 7. Figure 1 shows the distribution of toxicities by number of months post-transplantation.
Figure 1.
Distribution of Late Toxicities After Transplantation
Among all late survivors, there were 285 individual toxicities recorded during the study period: 215 (75%) in the +1-2 year post-transplantation period, 49 (17%) in the +2 to 3 year post-transplantation period, and 21 (7%) occurred > 3 years post-transplantation.
Risk Factors for Individual Toxicities, Any-Cause Death and NRM
When assessing the associations of patient and transplantation characteristics with the development of the most common toxicities after 1-year post-transplantation, we found that a pre-transplantation patient absolute lymphocyte count (ALC) > 0.5 K/mcL was associated with a reduced risk of developing hematologic [hazard ratio (HR) 0.3 (0.14-0.6), p=0.001], infectious [HR 0.36 (0.15-0.9), p=0.023], metabolic [HR 0.36 (0.14-0.96), p=0.04], and pulmonary [HR 0.23 (0.06-0.9), p=0.03] toxicities. A pre-HCT albumin > 4.0 g/dL was associated with a reduced risk of developing hepatic [HR 0.25 (0.1-0.7), p=0.012] and infectious [HR 0.47 (0.2-0.98), p=0.05] toxicities. In contrast, a pre-HCT ferritin > 1000 ng/mL was associated with an increased risk of metabolic [HR 2.77 (1.2-6.3), p=0.05] toxicities. HCT-CI was not associated with an increased risk of specific toxicities. Developing grade 2-4 GVHD within the first-year post-transplantation correlated increased the risk of hematologic [HR 2.7 (1.44-5.1), p=0.002], infectious [HR 2.8 (1.4-5.6), p=0.004], metabolic [HR 3.65 (1.7-7.8), p=0.001] toxicities. Recipients of cytomegalovirus (CMV) positive donor allografts had an increased risk of metabolic toxicities [HR 2.6 (1.2-5.6), p=0.02], and host CMV status did not predict for toxicities. Patients with > 7 toxicities within the first year had associated risk of hepatic [HR 2.77 (1.5-5.1), p=0.001], metabolic [HR 3.55 (1.7-7.4), p=0.001], and oral/gastrointestinal [HR 3.36 (1.5-7.6), p=0.004] toxicities.
Appendix 4 details the characteristics and toxicities whose development after the first year post-transplantation were associated with an increased risk of all-cause death and NRM by univariate Cox regression. Incurring a cardiovascular, hematologic, infectious, metabolic, neurologic, pulmonary or hepatic toxicity after the first year was associated with an increased risk of all-cause death and NRM. Development of grades 2-4 GVHD in the first year post-transplantation and HCT-CI ≥ 3 were both associated with an increased risk of all-cause death and NRM, and ferritin > 1000 ng/ml was associated with an increased risk of NRM. In contrast, absolute lymphocyte count (ALC) >0.5 K/mcl and albumin >4.0 g/l were associated with a decreased risk of all-cause death, and ALC >0.5 K/mcl was associated with a decreased risk of NRM. Age, gender, disease, HLA match, conditioning regimen type, CMV status, busulfan AUC level, and use of palifermin were not associated with an increased risk of specific toxicities, all-cause mortality or NRM.
Patients with > 7 toxicities within the first year had an increased risk of death [HR 3.2 (1.4-7.2), p=0.006] and NRM [HR 4.8 (1.6-14.4), p=0.005]; this translated into a 4-year OS after the 1-year landmark of 67% versus 86% (p=0.003) for those who did and did not have > 7 toxicities, respectively, as shown in Figure 2. Grades 2-4 acute GVHD occurred in 13 (10%) patients, and 22 (17%) patients had late acute GVHD. Chronic GVHD occurred in 9 (7%) of patients, 5 of moderate and 4 of mild grade, respectively. Of the patients that did not develop grade 2-4 GVHD in the first year, 43% had more than 7 toxicities in the first year whereas 70% of patients who developed grade 2-4 GVHD in the first year had more than 7 toxicities in the first year (p=0.016).
Figure 2.
Overall Survival by Median Number of Early Toxicities
We investigated two multivariate models: the first analyzed the association between individual toxicities and the risk of death and NRM while adjusting for HCT-CI, and the second analyzed similar associations but adjusted for the development of grade 2-4 GVHD within the first year. In the multivariate model adjusting for HCT-CI, we found that cardiovascular, hematologic, hepatic, infectious, metabolic, neurologic, and pulmonary toxicities incurred after 1-year all independently increased the risk of any-cause death and NRM. The same toxicities remained independently significant for both outcomes in the second model adjusting for grade 2-4 GVHD within the first year, as shown in Table 2.
Table 2.
Multivariate Models Assessing Association of Toxicity with Risk of Death and NRM Adjusting for HCT-CI and GVHD in the 1st Year
| Risk of death | Risk of NRM | |||||
|---|---|---|---|---|---|---|
| Model | HR (95% CI) | P-value | HR (95% CI) | P-value | ||
| 1a | Cardiovascular | 7.1 (2.9-17.2) | <0.001 | 8.5 (3.1-22.8) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 1.0 (0.3-3.3) | 0.96 | 1.14 (0.2-6.9) | 0.89 | ||
| ≥3 | 2.2 (0.8-6.1) | 0.12 | 4.8 (1.1-21.1) | 0.04 | ||
| 1b | Cardiovascular | 6.6 (2.8-16) | <0.001 | 7.8 (2.9-21.2) | <0.001 | |
| Grade 2-4 GVHD | 2.8 (1.3-6) | 0.009 | 4.6 (1.8-11.4) | 0.001 | ||
| 2a | Hematologic | 6.9 (3.1-15.3) | <0.001 | 9.4 (3.4-26) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 1.2 (0.4-3.7) | 0.80 | 1.3 (0.2-8.0) | 0.76 | ||
| ≥3 | 2.9 (1.1-7.9) | 0.04 | 6.4 (1.5-28) | 0.01 | ||
| 2b | Hematologic | 5.7 (2.5-12.9) | <0.001 | 6.7 (2.3-19.4) | <0.001 | |
| Grade 2-4 GVHD | 2.1 (0.9-4.4) | 0.07 | 3.3 (1.3-8.3) | 0.01 | ||
| 3a | Hepatic | 3.3 (1.4-7.8) | 0.008 | 4.4 (1.7-11.8) | 0.003 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 0.8 (0.3-2.6) | 0.75 | 0.9 (0.2-5.4) | 0.90 | ||
| ≥3 | 2.2 (0.8-6.0) | 0.12 | 4.6 (1.1-20.3) | 0.04 | ||
| 3b | Hepatic | 3.3 (1.4-7.8) | 0.007 | 4.4 (1.7-11.8) | 0.003 | |
| Grade 2-4 GVHD | 3.3 (1.6-6.9) | 0.002 | 5.4 (2.2-13.1) | <0.001 | ||
| 4a | Infectious | 5.8 (2.7-12.3) | <0.001 | 9.6 (3.8-24.3) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 0.9 (0.3-2.9) | 0.90 | 1.0 (0.2-6) | 0.99 | ||
| ≥3 | 2.2 (0.8-5.9) | 0.13 | 4.3 (0.98-19) | 0.053 | ||
| 4b | Infectious | 5.7 (2.7-12.2) | <0.001 | 9.7 (3.8-24.6) | <0.001 | |
| Grade2-4 GVHD | 2.9 (1.4-6.2) | 0.005 | 4.6 (1.9-11.3) | 0.001 | ||
| 5a | Metabolic | 6.1 (2.8-13.1) | <0.001 | 8.2 (3.3-20.5) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 0.9 (0.3-2.7) | 0.78 | 0.9 (0.2-5.6) | 0.96 | ||
| ≥3 | 1.7 (0.6-4.7) | 0.31 | 3.4 (0.8-15.3) | 0.11 | ||
| 5b | Metabolic | 5.7 (2.6-12.4) | <0.001 | 7.6 (3-19.6) | <0.001 | |
| Grade 2-4 GVHD | 2.2 (1-4.9) | 0.046 | 3.3 (1.3-8.6) | 0.013 | ||
| 6a | Neurologic | 8.8 (3.5-21.8) | <0.001 | 14.4 (5.4-38) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 0.9 (0.3-2.9) | 0.86 | 1.0 (0.2-6.3) | 0.97 | ||
| >3 | 2.4 (0.9-6.5) | 0.09 | 5.2 (1.2-22.6) | 0.03 | ||
| 6b | Neurologic | 6.6 (2.6-16.9) | <0.001 | 9.5 (3.4-26.4) | <0.001 | |
| Grade 2-4 GVHD | 2.7 (1.3-6) | 0.012 | 4.1 (1.6-10.7) | 0.003 | ||
| 7a | Pulmonary | 5.9 (1.98-17.6) | <0.001 | 12.7 (3.9-41) | <0.001 | |
| HCT-CI | 0 | (reference) | (reference) | |||
| 1-2 | 0.84 (0.3-2.6) | 0.8 | 0.87 (0.14-5) | 0.88 | ||
| ≥3 | 2.8 (1.0-7.7) | 0.05 | 6.8 (1.5-30.7) | 0.01 | ||
| 7b | Pulmonary | 3.1 (1-9.1) | 0.04 | 4.4 (1.4-13.8) | 0.011 | |
| Grade 2-4 GVHD | 3.1 (1.5-6.7) | 0.003 | 5 (2-12.3) | 0.001 | ||
HCT-CI indicates hematopoietic cell transplantation-comorbidity index; GVHD, graft-versus-host disease
Causes of Death
During the study period, 8 patients (6%) died of relapsed disease, 20 patients (15%) died of NRM, and 9 patients (7%) had relapse without death. Of the 20 patients who died of NRM: 9 died of infection, 8 died of GVHD, and 3 of other causes. At 4-years after the 1-year landmark, PFS and OS for the entire cohort were 70% and 77%, respectively (Figure 3).
Figure 3.
Progression-Free and Overall Survival
Discussion:
There has been limited understanding of the long-term toxicities of ex-vivo CD34+−selected allo-HCT. Our study is the most comprehensive assessment of adverse events in late survivors of ex-vivo CD34+−selected allo-HCT. It represents an essential initial step in identifying the incidences of specific organ-based toxicities and the risk factors that predict for these toxicities and unfavorable outcomes, with the goal of designing future targeted prospective clinical trials aimed at improving long-term survivorship and quality of life. We reaffirmed that 1-year survivors of ex-vivo CD34+ selected MAC allo-HCT have excellent long-term OS. Despite this, patients who develop GVHD within the first year remain at a higher risk of incurring multiple toxicities and a greater risk of NRM, which ultimately translates into inferior OS. There are no head-to-head adverse event comparisons of ex-vivo CD34-selected MAC allo-HCT and un-manipulated MAC allo-HCT; however, this type of analysis is highly relevant and warranted. Comprehensive toxicity data collected from several, previously published, prospective BMT CTN clinical trials could serve as an important comparative database to do so.30
Our group has previously reported the causes of death in 1-year survivors of ex-vivo CD34+ selected MAC allo-HCT yielding results congruent with our current findings in that late deaths are caused either by relapse or NRM, with the latter driven largely by GVHD and infection.31 A HCT-CI ≥ 3 was associated with an increased risk of death and NRM in both studies. Complementary to this, our current study shows that specific toxicities, both infectious and non-infectious, are also independently associated with an increased risk of death and NRM when adjusting for both HCT-CI and the development of GVHD in the first year. Additionally, patients that incur more individual toxicities within the first year post-transplantation, regardless of etiology, have inferior OS. This underscores the detrimental effects of individual toxicities as well as the cumulative effects of accumulating numerous toxicities over time.
While T-cell depletion techniques typically delay immune reconstitution post-HCT compared to un-modified allografts, we found that among 1-year survivors of ex-vivo CD34+ selected allo-HCT, only 9 died of infection-related toxicities.21, 32, 33 Moreover, we noted low rates of high-grade viral reactivation, viral organ-disease and viral-related deaths among 1-year survivors, suggesting adequate T-cell immunity in the majority of patients who did not develop GVHD in the first year. Several previous studies have demonstrated the significance of a patient’s ALC at day +30 post-transplantation as a predictive biomarker of immune reconstitution and overall survival.34-38 Similarly, our study demonstrated that a higher baseline pre-transplantation ALC portends a lower risk of hematologic, infectious, metabolic and pulmonary toxicities in patients undergoing ex-vivo CD34+ selection. Previously well-characterized and widely clinically available pre-transplantation biomarkers of outcome such as albumin and ferritin were also important predictive biomarkers in our patients, though our analysis emphasizes the unique association of these biomarkers with the development of specific toxicities.39,40 Further, given that HCT-CI was not associated with an increased risk of specific toxicities, our data suggest that simple serum assays such as ferritin, ALC and albumin may complement and contribute to previously validated and widely used prognostic tools such as, HCT-CI, to predict for specific toxicities in this distinct allo-HCT patient population.28
Our study comes with several limitations primarily related to the retrospective collection of adverse events which may over- or under-estimate the incidence and degree of adverse events occurring in complex patients with multiple, prolonged hospitalizations.41 Our solution was to perform inter-reviewer audits in order to enhance reviewer consistency and reduce variability. Additionally, given the limited number of certain individual toxicity events in late survivors, we were only able to analyze separate sequential multivariate models. We specifically chose to build separate models for two factors, HCT-CI and the development of GVHD within the first year, given that these were both important predictors in our univariate models and are known risk factors for NRM 25,42
In summary, 1-year survivors of ex-vivo CD34+ selection-based allo-HCT achieve favorable and durable clinical outcomes, and their expected toxicities after 1-year are largely driven by specific pre-transplantation variables, the type and frequency of post-transplantation toxicities, and whether they develop GVHD within the first year. Our comprehensive analysis emphasizes that determining ways to limit the accumulation of toxicities within the first year may improve outcomes, and identification of patients at continued risk for late toxicity will enhance survivorship care in this population. In light of the PROGRESS II trial, our study may also serve as an essential reference guide for patients receiving ex-vivo CD34+ selection-based allo-HCT and for the healthcare providers caring for them.
Highlights:
We evaluated all high-grade toxicities in 1-year survivors of CD34+− selected allo-HCT.
HCT-CI ≥ 3 and GVHD in the 1st year resulted in more late toxicities, late NRM, and poorer OS.
Limiting toxicities in the 1st year and identifying those at risk for late toxicity may improve outcomes.
Acknowledgements:
Sources of stipend for Michael Scordo, M.D. include the Mortimer J. Lacher Fellowship Fund and institutional funding. This research was supported in part by National Institutes of Health award number P01 CA23766 and NIH/NCI Cancer Center Support Grant P30 CA008748. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional support was provided by the Bergstein Family Foundation Fund.
Appendix
Appendix 1.
Toxicity Groups and Sub-groups
| Group Code |
Toxicity Group | ||
|---|---|---|---|
| 1 | Cardiovascular | ||
| 2 | Endocrine | ||
| 3 | Hematologic | ||
| 4 | Hepatic | ||
| 5 | Immune System | ||
| 6 | Infection | ||
| 7 | Metabolic | ||
| 8 | Musculoskeletal and connective tissue | ||
| 9 | Neurologic | ||
| 10 | Ocular | ||
| 11 | Oral/Gastrointestinal | ||
| 12 | Other | ||
| 13 | Psychiatric | ||
| 14 | Pulmonary | ||
| 15 | Renal and Urinary | ||
| 16 | Reproductive system | ||
| 17 | Skin | ||
| Toxicity | Group Code |
Toxicity Code |
|
| Cardiovascular - Atrial arrhythmia | 1 | 1 | |
| Cardiovascular - Atrial fibrillation | 1 | 2 | |
| Cardiovascular - Ejection fraction decrease | 1 | 3 | |
| Cardiovascular - Heart failure | 1 | 4 | |
| Cardiovascular - Hypertension | 1 | 5 | |
| Cardiovascular - Hypotension | 1 | 6 | |
| Cardiovascular - Myocardial infarction | 1 | 7 | |
| Cardiovascular - Pericardial effusion | 1 | 8 | |
| Cardiovascular - Pulmonary Hypertension | 1 | 9 | |
| Cardiovascular - QTc prolongation | 1 | 10 | |
| Cardiovascular - Syncope | 1 | 11 | |
| Cardiovascular - Ventricular arrhythmia | 1 | 12 | |
| Cardiovascular - Volume overload | 1 | 13 | |
| Cardiovascular - Other | 1 | 14 | |
| Endocrine - Endocrine disorders, other | 2 | 15 | |
| Hematologic - DIC | 3 | 16 | |
| Hematologic - Hemolysis | 3 | 17 | |
| Hematologic - HUS/TTP | 3 | 18 | |
| Hematologic - Coagulation labs | 3 | 19 | |
| Hematologic - VTE | 3 | 20 | |
| Hematologic - Cytopenia | 3 | 21 | |
| Hematologic - Other | 3 | 22 | |
| Hepatic - ALT/AST/ALK Phos/BILI | 4 | 23 | |
| Hepatic - Cholecystitis | 4 | 24 | |
| Hepatic - Hepatic failure | 4 | 25 | |
| Hepatic - Portal hypertension | 4 | 26 | |
| Hepatic - Hepatobiliary disorders, other | 4 | 27 | |
| Immune System - Autoimmune disorder | 5 | 28 | |
| Immune System - Immune System disorders, other | 5 | 29 | |
| Infection - Adenovirus Organ Disease | 6 | 30 | |
| Infection - Adenovirus Reactivation | 6 | 31 | |
| Infection - Bacteremia | 6 | 32 | |
| Infection - Bladder Infection (BK) | 6 | 33 | |
| Infection - C. difficile | 6 | 34 | |
| Infection - CMV Organ Disease | 6 | 35 | |
| Infection - CMV Reactivation | 6 | 36 | |
| Infection - EBV PTLD | 6 | 37 | |
| Infection - EBV Reactivation | 6 | 38 | |
| Infection - Febrile Neutropenia no source | 6 | 39 | |
| Infection - Febrile Neutropenia w/ Source | 6 | 40 | |
| Infection - HHV-6 Organ Disease | 6 | 41 | |
| Infection - HHV-6 Reactivation | 6 | 42 | |
| Infection - Lung Infection | 6 | 43 | |
| Infection - Neutropenic Sepsis | 6 | 44 | |
| Infection - Sepsis | 6 | 45 | |
| Infection - Upper Respiratory Infection | 6 | 46 | |
| Infection - Urinary Tract Infection | 6 | 47 | |
| Infection - Infections and infestations, other | 6 | 48 | |
| Metabolic - Acidosis | 7 | 49 | |
| Metabolic - Anorexia | 7 | 50 | |
| Metabolic - Dehydration | 7 | 51 | |
| Metabolic - Electrolyte abnormality | 7 | 52 | |
| Metabolic - Hyperglycemia (diabetes) | 7 | 53 | |
| Metabolic - Other | 7 | 54 | |
| Musculoskeletal and connective tissue - Avascular necrosis | 8 | 55 | |
| Musculoskeletal and connective tissues - Disorder, other | 8 | 56 | |
| Neurologic - Cognitive disturbance | 9 | 57 | |
| Neurologic - Leukoencephalopathy | 9 | 58 | |
| Neurologic - Peripheral motor neuropathy | 9 | 59 | |
| Neurologic - Peripheral sensory neuropathy | 9 | 60 | |
| Neurologic - Seizure | 9 | 61 | |
| Neurologic - Stroke | 9 | 62 | |
| Neurologic - Nervous system disorder, other | 9 | 63 | |
| Ocular - Cataracts | 10 | 64 | |
| Ocular - Other | 10 | 65 | |
| Oral/Gastrointestinal - Ascites | 11 | 66 | |
| Oral/Gastrointestinal - Colitis | 11 | 67 | |
| Oral/Gastrointestinal - Diarrhea | 11 | 68 | |
| Oral/Gastrointestinal - GI hemorrhage (Upper or Lower) | 11 | 69 | |
| Oral/Gastrointestinal - Mucositis oral | 11 | 70 | |
| Oral/Gastrointestinal - Nausea/Vomiting | 11 | 71 | |
| Oral/Gastrointestinal - Other | 11 | 72 | |
| Other - Fatigue | 12 | 73 | |
| Other - Pain | 12 | 74 | |
| Other - Treatment related secondary malignancy | 12 | 75 | |
| Other - Weight Loss | 12 | 76 | |
| Other - SPECIFY | 12 | 77 | |
| Psychiatric | 13 | 78 | |
| Pulmonary - Acute Respiratory distress syndrome | 14 | 79 | |
| Pulmonary - Pneumonitis | 14 | 80 | |
| Pulmonary - Pulmonary edema | 14 | 81 | |
| Pulmonary - Respiratory, thoracic and mediastinal disorders, other | 14 | 82 | |
| Renal and Urinary - Chronic Kidney Disease | 15 | 83 | |
| Renal and Urinary - Creatinine increased | 15 | 84 | |
| Renal and Urinary - Cystitis noninfective | 15 | 85 | |
| Renal and Urinary - Hematuria | 15 | 86 | |
| Renal and urinary - other | 15 | 87 | |
| Reproductive system - Erectile dysfunction | 16 | 88 | |
| Reproductive system - Other | 16 | 89 | |
| Skin - Erythroderma | 17 | 90 | |
| Skin - Rash maculo-papular | 17 | 91 | |
Appendix 2.
Cumulative Incidence of Toxicities
| 1-2 Years | 1-3 Years | 1-4 Years | |
|---|---|---|---|
| Cardiovascular | 0.06 (0.03-0.11) | 0.08 (0.040-0.14) | 0.1 (0.06-0.16) |
| Endocrine | 0.01 (0-0.04) | 0.01 (0-0.04) | 0.01 (0-0.04) |
| Hematologic | 0.29 (0.22-0.37) | 0.31 (0.24- 0.39) | 0.33 (0.25-0.42) |
| Hepatic | 0.13 (0.08-0.19) | 0.16 (0.1- 0.22) | 0.17 (0.11-0.23) |
| Immune System | 0.02 (0.01- 0.06) | 0.24 (0.17- 0.32) | 0.27 (0.2- 0.35) |
| Infection | 0.19 (0.13- 0.26) | 0.24 (0.17-0.32) | 0.27 (0.2-0.35) |
| Metabolic | 0.14 (0.09- 0.21) | 0.19 (0.13- 0.27) | 0.22 (0.15- 0.29) |
| Musculoskeletal | 0.03 (0.01- 0.07) | 0.05 (0.02- 0.09) | 0.05 (0.02- 0.09) |
| Neurologic | 0.04 (0.01-0.08) | 0.08 (0.04- 0.13) | 0.08 (0.04- 0.13) |
| Ocular | 0.02 (0.01-0.06) | 0.02 (0.01- 0.06) | 0.02 (0.01-0.06) |
| Oral/Gastrointestinal | 0.04 (0.01-0.08) | 0.04 (0.01-0.08) | 0.04 (0.01-0.08) |
| Other | 0.06 (0.03-0.11) | 0.08 (0.04-0.14) | 0.09 (0.05-0.15) |
| Psychiatric | 0 | 0.01 (0- 0.04) | 0.01 (0-0.04) |
| Pulmonary | 0.06 (0.03-0.11) | 0.07 (0.04-0.13) | 0.09 (0.04-0.14) |
| Renal and Urinary | 0.02 (0.01-0.06) | 0.05 (0.02- 0.09) | 0.05 (0.02-0.09) |
| Reproductive System | 0.01 (0-0.04) | 0.01 (0-0.04) | 0.01 (0-0.04) |
| Skin | 0.02 (0.01-0.06) | 0.02 (0.01-0.06) | 0.02 (0.01-0.06) |
Appendix 3.
Total Individual Toxicities During the Study Period Among All Patients
| Toxicity Subgroups | Number of Individual Toxicities |
|---|---|
| Cardiovascular - Atrial arrhythmia | 2 |
| Cardiovascular - Heart failure | 2 |
| Cardiovascular - Hypertension | 6 |
| Cardiovascular - Hypotension (Orthostatic) | 2 |
| Cardiovascular - Myocardial infarction | 1 |
| Cardiovascular - Pericardial effusion | 1 |
| Cardiovascular - QTc prolongation | 1 |
| Cardiovascular - Ventricular arrhythmia | 1 |
| Cardiovascular - Volume overload | 1 |
| Cardiovascular - Other | 2 |
| Endocrine - Endocrine disorders, other | 1 |
| Hematologic - Coagulation labs | 8 |
| Hematologic - VTE | 3 |
| Hematologic - Cytopenia | 45 |
| Hepatic - ALT/AST/ALK Phos/BILI | 22 |
| Hepatic - Hepatic failure | 1 |
| Immune System - Autoimmune disorder | 3 |
| Immune System - Immune System disorders, other | 1 |
| Infection - Adenovirus Organ Disease | 1 |
| Infection - Bacteremia | 15 |
| Infection - Bladder Infection (BK cystitis) | 1 |
| Infection - C. difficile | 1 |
| Infection - CMV Reactivation | 2 |
| Infection - EBV PTLD | 2 |
| Infection - Febrile Neutropenia w/ Source | 2 |
| Infection - HHV-6 Reactivation | 2 |
| Infection - Lung Infection | 22 |
| Infection - Sepsis | 4 |
| Infection - Upper Respiratory Infection | 5 |
| Infection - Urinary Tract Infection | 3 |
| Infection - Infections and infestations, other | 9 |
| Metabolic - Anorexia | 2 |
| Metabolic - Electrolyte abnormality | 20 |
| Metabolic - Hyperglycemia | 21 |
| Metabolic - Other | 5 |
| Musculoskeletal and connective tissue - Avascular necrosis | 1 |
| Musculoskeletal and connective tissues - Disorder, other | 5 |
| Neurologic - Cognitive disturbance | 3 |
| Neurologic - Leukoencephalopathy | 1 |
| Neurologic - Seizure | 1 |
| Neurologic - Stroke | 1 |
| Neurologic - Nervous system disorder, other | 5 |
| Ocular - Cataracts | 4 |
| Ocular - Other | 1 |
| Oral/Gastrointestinal - Colitis | 2 |
| Oral/Gastrointestinal - Diarrhea | 1 |
| Oral/Gastrointestinal - Mucositis oral | 1 |
| Oral/Gastrointestinal - Nausea/Vomiting | 1 |
| Other - Fatigue | 1 |
| Other - Pain | 5 |
| Other - Treatment related secondary malignancy | 7 |
| Other | 1 |
| Psychiatric | 1 |
| Pulmonary - Acute Respiratory distress syndrome | 3 |
| Pulmonary - Respiratory, thoracic and mediastinal disorders, other | 9 |
| Renal and Urinary - Creatinine increased | 5 |
| Renal and Urinary - Hematuria | 2 |
| Reproductive system - Erectile dysfunction | 1 |
| Skin - Rash maculo-papular | 3 |
Appendix 4.
Association of Toxicities and Transplantation Characteristics with Outcome Using Univariate Cox Regression
| Risk of Death |
Risk of NRM | |||
|---|---|---|---|---|
| HR (95% CI) | p-value | HR (95% CI) | p-value | |
| Toxicity | ||||
| Cardiovascular | 8.6 (3.7-20.3) | <0.001 | 11.6 (4.4-30.5) | <0.001 |
| Endocrine* | - | - | - | - |
| Hematologic | 6.9 (3.1-15.1) | <0.001 | 9.5 (3.5-26.3) | <0.001 |
| Hepatic | 3.6 (1.5-8.6) | 0.003 | 5.4 (2-14.3) | 0.001 |
| Immune System* | - | - | - | - |
| Infectious | 6.4 (3-13.6) | <0.001 | 11.7 (4.6-29.6) | <0.001 |
| Metabolic | 7.2 (3.5-15.2) | <0.001 | 11.5 (4.7-28.1) | <0.001 |
| Musculoskeletal | 1.4 (0.2-10.8) | 0.73 | 2.6 (0.33-20.4) | 0.37 |
| Neurologic | 9.4 (3.8-23.7) | <0.001 | 17 (6.3-45.2) | <0.001 |
| Ocular* | - | - | - | - |
| Oral/Gastrointestinal* | - | - | - | - |
| Other | 1.4 (0.3-6.1) | 0.64 | 2.4 (0.54-10.8) | 0.25 |
| Psychiatric* | - | - | - | - |
| Pulmonary | 4.3 (1.5-12.4) | 0.008 | 7.2 (2.4-21.9) | <0.001 |
| Renal and Urinary* | - | - | - | - |
| Reproductive System* | - | - | - | - |
| Skin* | - | - | - | - |
| Transplantation Characteristics | ||||
| Grade 2-4 GVHD in 1st Year | 3.5 (1.7-7.3) | 0.001 | 5.9 (2.4-14.3) | <0.001 |
| Grade 2-4 GVHD in 1st 100 Days | 1.2 (0.4-4.0) | 0.77 | 1.8 (0.5-6.3) | 0.33 |
| HCT-CI | ||||
| 0 | (reference) | 0.04 | (reference) | 0.004 |
| 1-2 | 0.9 (0.3-2.8) | 0.9 (0.2-5.6) | ||
| ≥ 3 | 2.5 (0.9-6.6) | 5.3 (1.2-23) | ||
| ALC > 0.5 K/mcl | 0.3 (0.1-0.7) | 0.004 | 0.3 (0.1-0.8) | 0.15 |
| Ferritin | ||||
| <1000 ng/ml | (reference) | 0.08 | (reference) | 0.03 |
| 1000-2500 ng/ml | 2.3 (1-5.1) | 3.6 (3.3-10.3) | ||
| >2500 ng/ml | 2.7 (0.9-8.4) | 4.0 (0.99-16) | ||
| Albumin > 4.0 g/l | 0.4 (0.2-0.9) | 0.03 | 0.4 (0.2-1.11) | 0.08 |
| Busulfan | ||||
| No Change | (reference) | 0.94 | (reference) | 0.96 |
| Dose Decrease | 0.7 (0.1-5.6) | 1.4 (0.2-12.5) | ||
| Dose Increase | 0.9 (0.3-2.5) | 1.1 (0.3-4.2) | ||
| More Than 7 Toxicities in 1st Year | 3.2 (1.4-7.2) | 0.006 | 4.8 (1.6-14.4) | 0.005 |
| Use of Palifermin | 0.7 (0.3-1.4) | 0.25 | 0.6 (0.3-1.5) | 0.29 |
| Patient Age | 1.0 (0.98-1.1) | 0.31 | 1.01 (0.97-1.1) | 0.66 |
| Patient Gender – Male | 0.8 (0.4-4.4) | 0.56 | 1.1 (0.5-2.7) | 0.78 |
| Disease Group | ||||
| Acute Leukemia/MDS | (reference) | 0.88 | ||
| Multiple Myeloma | 0.9 (0.3-3.1) | |||
| Other | 1.3 (0.5-3.4) | |||
| Matched unrelated donor | 1.1 (0.5-2.4) | 0.73 | 1.6 (0.6-4.2) | 0.33 |
| TBI-based Conditioning | 0.6 (0.2-1.5) | 0.25 | 0.6 (0.2-1.7) | 0.32 |
| CMV Positive Donor | 1.5 (0.7-3.1) | 0.28 | 1.4 (0.6-3.3) | 0.5 |
| CMV Positive Patient | 0.8 (0.4-1.6) | 0.5 | 0.8 (0.3-1.9) | 0.6 |
HR indicates hazard ratio; GVHD, graft-versus-host disease; HCT-CI, hematopoietic cell transplantation-comorbidity index; ALC, absolute lymphocyte count; MDS, myelodysplastic syndrome; TBI, total-body irradiation; CMV, cytomegalovirus.
Could not be estimated based on the number who developed each toxicity
Footnotes
Conflicts of Interest: There are no other relevant conflicts of interests in relation to the work described.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References:
- 1.Majhail NS, Rizzo JD. Surviving the cure: long term followup of hematopoietic cell transplant recipients. Bone Marrow Transpl. 2013;48(9):1145–1151. doi: 10.1038/bmt.2012.258. [DOI] [PubMed] [Google Scholar]
- 2.Young JW, Papadopoulos EB, Cunningham I, et al. T-cell-depleted allogeneic bone marrow transplantation in adults with acute nonlymphocytic leukemia in first remission. Blood. 1992;79(12):3380–3387. http://www.scopus.com/inward/record.url?eid=2-s2.0-0026683644&partnerID=40&md5=9e8deef032786a2d57d3cd6926e5f3eb. [PubMed] [Google Scholar]
- 3.Finke J, Brugger W, Bertz H, et al. Allogeneic transplantation of positively selected peripheral blood CD34+ progenitor cells from matched related donors. Bone Marrow Transpl. 1996;18(6):1081–1086. http://www.ncbi.nlm.nih.gov/pubmed/8971376. [PubMed] [Google Scholar]
- 4.Papadopoulos EB, Carabasi MH, Castro-Malaspina H, et al. T-cell-depleted allogeneic bone marrow transplantation as postremission therapy for acute myelogenous leukemia: freedom from relapse in the absence of graft-versus-host disease. Blood. 1998;91(3):1083–1090. http://www.ncbi.nlm.nih.gov/pubmed/9446672. [PubMed] [Google Scholar]
- 5.Jakubowski AA, Small TN, Young JW, et al. T cell-depleted stem-cell transplantation for adults with hematologic malignancies: Sustained engraftment of HLA-matched related donor grafts without the use of antithymocyte globulin. Blood. 2007;110(13):4552–4559. doi: 10.1182/blood-2007-06-093880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Castro-Malaspina H, Jabubowski AA, Papadopoulos EB, et al. Transplantation in Remission Improves the Disease-Free Survival of Patients with Advanced Myelodysplastic Syndromes Treated with Myeloablative T Cell-Depleted Stem Cell Transplants from HLA-Identical Siblings. Biol Blood Marrow Transplant. 2008;14(4):458–468. doi: 10.1016/j.bbmt.2008.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Jakubowski AA, Small TN, Kernan NA, et al. T cell-depleted unrelated donor stem cell transplantation provides favorable disease-free survival for adults with hematologic malignancies. Biol Blood Marrow Transplant. 2011;17(9):1335–1342. doi: 10.1016/j.bbmt.2011.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Goldberg JD, Linker A, Kuk D, et al. T Cell-Depleted Stem Cell Transplantation for Adults with High-Risk Acute Lymphoblastic Leukemia: Long-Term Survival for Patients in First Complete Remission with a Decreased Risk of Graft-versus-Host Disease. Biol Blood Marrow Transpl. 2012. doi:S1083-8791(12)00368-0 [pii]\r 10.1016/j.bbmt.2012.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pasquini MC, Devine S, Mendizabal A, et al. Comparative outcomes of donor graft CD34+ selection. J Clin Oncol. 2012;30(26):3194–3201. doi: 10.1200/JCO.2012.41.7071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bayraktar UD, de Lima M, Saliba RM, et al. Ex vivo T cell-depleted versus unmodified allografts in patients with acute myeloid leukemia in first complete remission. Biol Blood Marrow Transplant. 2013;19(6):898–903. doi: 10.1016/j.bbmt.2013.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tamari R, Chung SS, Papadopoulos EB, et al. CD34-Selected Hematopoietic Stem Cell Transplants Conditioned with Myeloablative Regimens and Antithymocyte Globulin for Advanced Myelodysplastic Syndrome: Limited Graft-versus-Host Disease without Increased Relapse. Biol Blood Marrow Transplant. 2015;21(12):2106–2114. doi: 10.1016/j.bbmt.2015.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hobbs GS, Hamdi A, Hilden PD, et al. Comparison of outcomes at two institutions of patients with ALL receiving ex vivo T-cell-depleted or unmodified allografts. Bone Marrow Transplant. 2015;50(4):493–498. doi: 10.1038/bmt.2014.302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Barba P, Hilden P, Devlin SM, et al. Ex Vivo CD34(+)-Selected T Cell-Depleted Peripheral Blood Stem Cell Grafts for Allogeneic Hematopoietic Stem Cell Transplantation in Acute Leukemia and Myelodysplastic Syndrome Is Associated with Low Incidence of Acute and Chronic Graft-versus-Host Disease and High Treatment Response. Biol Blood Marrow Transplant. 2017;23(3):452–458. doi: 10.1016/j.bbmt.2016.12.633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Luznik L, Engstrom LW, Iannone R, Fuchs EJ. Posttransplantation cyclophosphamide facilitates engraftment of major histocompatibility complex-identical allogeneic marrow in mice conditioned with low-dose total body irradiation. Biol Blood Marrow Transplant. 2002;8(3):131–138. http://www.ncbi.nlm.nih.gov/pubmed/11939602. Accessed October 19, 2016. [DOI] [PubMed] [Google Scholar]
- 15.Raiola AM, Dominietto A, Ghiso A, et al. Unmanipulated haploidentical bone marrow transplantation and posttransplantation cyclophosphamide for hematologic malignancies after myeloablative conditioning. Biol Blood Marrow Transplant. 2013; 19(1):117–122. doi: 10.1016/j.bbmt.2012.08.014. [DOI] [PubMed] [Google Scholar]
- 16.Bashey A, Zhang X, Sizemore CA, et al. T-cell-replete HLA-haploidentical hematopoietic transplantation for hematologic malignancies using post-transplantation cyclophosphamide results in outcomes equivalent to those of contemporaneous HLA-matched related and unrelated donor transplantation. J Clin Oncol. 2013;31(10):1310–1316. doi: 10.1200/JCO.2012.44.3523. [DOI] [PubMed] [Google Scholar]
- 17.Solomon SR, Sizemore CA, Sanacore M, et al. Haploidentical transplantation using T cell replete peripheral blood stem cells and myeloablative conditioning in patients with high-risk hematologic malignancies who lack conventional donors is well tolerated and produces excellent relapse-free survival: Biol Blood Marrow Transplant. 2012;18(12):1859–1866. doi: 10.1016/j.bbmt.2012.06.019. [DOI] [PubMed] [Google Scholar]
- 18.Alousi AM, Bolaños-Meade J, Lee SJ. Graft-versus-host disease: state of the science. Biol Blood Marrow Transplant. 2013;19(1 Suppl):S102–8. doi: 10.1016/j.bbmt.2012.10.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Raj K, Pagliuca A, Bradstock K, et al. Peripheral blood hematopoietic stem cells for transplantation of hematological diseases from related, haploidentical donors after reduced-intensity conditioning. Biol Blood Marrow Transplant. 2014;20(6):890–895. doi: 10.1016/j.bbmt.2014.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee SJ, Zahrieh D, Alyea EP, et al. Comparison of T-cell-depleted and non-T-cell-depleted unrelated donor transplantation for hematologic diseases: Clinical outcomes, quality of life, and costs. Blood. 2002;100(8):2697–2702. doi: 10.1182/blood-2002-03-0984. [DOI] [PubMed] [Google Scholar]
- 21.Small TN, Papadopoulos EB, Boulad F, et al. Comparison of immune reconstitution after unrelated and related T-cell-depleted bone marrow transplantation: effect of patient age and donor leukocyte infusions. Blood. 1999;93(2):467–480. [PubMed] [Google Scholar]
- 22.Cho C, Perales MA. Rapid identification of cytokine release syndrome after haploidentical PBSC transplantation and successful therapy with tocilizumab. Bone Marrow Transplant. September 2016. doi: 10.1038/bmt.2016.229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.O’Donnell P, Raj K, Pagliuca A. High fever occurring 4 to 5 days post-transplant of haploidentical bone marrow or peripheral blood stem cells after reduced-intensity conditioning associated with the use of post-transplant cyclophosphamide as prophylaxis for graft-versus-host disease. Biol Blood Marrow Transplant. 2015;21(1):197–198. doi: 10.1016/j.bbmt.2014.10.008. [DOI] [PubMed] [Google Scholar]
- 24.Bhatia S, Francisco L, Carter A, et al. Late mortality after allogeneic hematopoietic cell transplantation and functional status of long-term survivors: Report from the Bone Marrow Transplant Survivor study. Blood. 2007; 110(10):3784–3792. doi: 10.1182/blood-2007-03-082933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wingard JR, Majhail NS, Brazauskas R, et al. Long-term survival and late deaths after allogeneic hematopoietic cell transplantation. J Clin Oncol. 2011;29(16):2230–2239. doi: 10.1200/JC0.2010.33.7212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Goldberg JD, Zheng J, Castro-Malaspina H, et al. Palifermin is efficacious in recipients of TBI-based but not chemotherapy-based allogeneic hematopoietic stem cell transplants. Bone Marrow Transplant. 2012;(May):1–6. doi: 10.1038/bmt.2012.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Tomblyn M CIBMTR Infection Data CIBMTR Infection Data and the New Infection and the New Infection Inserts. 2007. https://www.cibmtr.org/Meetings/Materials/CRPDMC/Documents/2007/february/TomblynM_Infection.pdf. Accessed November 14, 2016. [Google Scholar]
- 28.Sorror ML. How I assess comorbidities before hematopoietic cell transplantation. Blood. 2013;121(15):2854–2863. doi: 10.1182/blood-2012-09-455063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Efron B Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve. J Am Stat Assoc. 1988;83(402):414–425. doi: 10.1080/01621459.1988.10478612. [DOI] [Google Scholar]
- 30.Maziarz RT, Lazarus HM, Riches ML, Mudrick C, Mendizabal A. BMT CTN Trials: A Rich Source for Regimen Related Toxicity Assessments in the Modern Era. Biol Blood Marrow Transplant. 2016;22(3):S291–S292. doi: 10.1016/j.bbmt.2015.11.746. [DOI] [Google Scholar]
- 31.Cho C, Hsu M, Avecilla S, et al. Long-Term Prognosis Among 1-Year Survivors of Ex Vivo T-Cell Depleted Allogeneic Hematopoietic Stem Cell Transplantation: A Landmark Analysis. Biol Blood Marrow Transplant. 2016;22(3):S84–S85. doi: 10.1016/j.bbmt.2015.11.380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.van den Brink MRM, Velardi E, Perales M-A. Immune reconstitution following stem cell transplantation. Hematol Am Soc Hematol Educ Progr. 2015;2015:215–219. doi: 10.1182/asheducation-2015.1.215. [DOI] [PubMed] [Google Scholar]
- 33.Goldberg JD, Zheng J, Ratan R, et al. Early recovery of T-cell function predicts improved survival after T-cell depleted allogeneic transplant. Leuk Lymphoma. 2017;58(8):1859–1871. doi: 10.1080/10428194.2016.1265113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Porrata LF, Gertz MA, Inwards DJ, et al. Early lymphocyte recovery predicts superior survival after autologous hematopoietic stem cell transplantation in multiple myeloma or non-Hodgkin lymphoma. Blood. 2001;98(3):579–585. doi: 10.1182/blood.V98.3.579. [DOI] [PubMed] [Google Scholar]
- 35.Porrata LF, Inwards DJ, Ansell SM, et al. Early Lymphocyte Recovery Predicts Superior Survival after Autologous Stem Cell Transplantation in Non-Hodgkin Lymphoma: A Prospective Study. Biol Blood Marrow Transplant. 2008;14(7):807–816. doi: 10.1016/j.bbmt.2008.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Thoma MD, Huneke TJ, DeCook LJ, et al. Peripheral blood lymphocyte and monocyte recovery and survival in acute leukemia postmyeloablative allogeneic hematopoietic stem cell transplant. Biol Blood Marrow Transpl. 2012;18(4):600–607. doi: 10.1016/j.bbmt.2011.08.007. [DOI] [PubMed] [Google Scholar]
- 37.Gul Z, Van Meter E, Abidi M, et al. Low blood lymphocyte count at 30 days post transplant predicts worse acute GVHD and survival but not relapse in a large retrospective cohort. Bone Marrow Transplant. 2015;50(3):432–437. doi: 10.1038/bmt.2014.284. [DOI] [PubMed] [Google Scholar]
- 38.Kim HT, Armand P, Frederick D, et al. Absolute lymphocyte count recovery after allogeneic hematopoietic stem cell transplantation predicts clinical outcome. Biol Blood Marrow Transplant. 2015;21(5):873–880. doi: 10.1016/j.bbmt.2015.01.019. [DOI] [PubMed] [Google Scholar]
- 39.Vaughn JE, Storer BE, Armand P, et al. Design and Validation of an Augmented Hematopoietic Cell Transplantation-Comorbidity Index Comprising Pretransplant Ferritin, Albumin, and Platelet Count for Prediction of Outcomes after Allogeneic Transplantation. Biol Blood Marrow Transplant. 2015;21(8):1418–1424. doi: 10.1016/j.bbmt.2015.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Artz AS, Logan B, Zhu X, et al. The prognostic value of serum c-reactive protein, ferritin, and albumin prior to allogeneic transplantation for acute myeloid leukemia and myelodysplastic syndromes. Haematologica. August 2016. doi: 10.3324/haematol.2016.145847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rafter N, Hickey A, Conroy RM, et al. The Irish National Adverse Events Study (INAES): the frequency and nature of adverse events in Irish hospitals-a retrospective record review study. BMJ Qual Saf. February 2016. doi: 10.1136/bmjqs-2015-004828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Barba P, Ratan R, Cho C, et al. Hematopoietic Cell Transplantation Comorbidity Index Predicts Outcomes in Patients with Acute Myeloid Leukemia and Myelodysplastic Syndromes Receiving CD34+ Selected Grafts for Allogeneic Hematopoietic Cell Transplantation. Biol Blood Marrow Transplant. 2017;23(1):67–74. doi: 10.1016/j.bbmt.2016.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]



