Abstract
PURPOSE
Hematopoietic stem cell transplantation (HSCT) is used as consolidation for pediatric patients with high-risk AML in first complete remission (CR1). The definition of high-risk AML has evolved considerably over the past two decades with the successive identification of new unfavorable risk factors. We conducted a cross-study analysis to determine whether HSCT improves the outcomes of patients with contemporarily defined high-risk AML.
METHODS
We combined data from AAML0531 and AAML1031, the last two phase III clinical trials completed by the Children's Oncology Group (COG). These two trials established the prognostic importance of measurable residual disease (MRD) and several high-risk cryptic cytogenetic/molecular (CM) alterations, which were applied to reclassify patients in the current COG phase III clinical trial, AAML1831. We compared the outcomes after HSCT in CR1 with those after chemotherapy alone in CR1 in the redefined high-risk group.
RESULTS
Our study cohort comprised 463 patients with high-risk CM alterations and 72 patients with standard-risk (SR) CM results with positive MRD at end of induction I. In all, 33.9% and 45.8% of these groups underwent HSCT in CR1, respectively. HSCT was associated with decreased relapse and improved disease-free survival (DFS) in both groups. In the high-risk CM group, 5-year DFS was 26.0% (95% CI, 20.6 to 31.6) and 49.8% (95% CI, 41.7 to 57.4; P < .001) in patients receiving chemotherapy alone and HSCT, respectively. In the SR CM and MRD+ groups, DFS was 16.9% (95% CI, 4.3 to 36.7) compared with 50.9% (95% CI, 32.7 to 66.5; P = .032). HSCT was also associated with improvement in outcomes based on multivariable analysis and across subgroups defined by clinical trial and by high-risk CM subtype, with the exception of chromosome 7 or 5 loss.
CONCLUSION
HSCT was associated with improved outcomes in pediatric patients with contemporarily defined high-risk AML.
INTRODUCTION
The use of hematopoietic stem cell transplantation (HSCT) as consolidation therapy for AML diagnosed in children, adolescents, and young adults has been debated for decades. Before the mid-2000s, many pediatric cooperative groups used HSCT in first complete remission (CR1) for all patients with a human leukocyte antigen (HLA)-matched related donor available, regardless of disease risk. To assess the impact of disease risk on the potential benefits of HSCT, we previously performed a cross-study analysis encompassing four phase III trials that together enrolled patients from the late 1980s through the early 2000s. This study assessed the influence of disease risk on the benefit of HSCT in CR1, compared with consolidation chemotherapy alone. At that time, disease risk was defined primarily by a limited number of cytogenetic alterations identified by G-banding and fluorescence in situ hybridization. Patients with t(8;21) (or RUNX1::RUNX1T1) or inv(16) (or CBFB::MYH11) were defined as having low-risk disease, whereas patients with monosomy 7, monosomy 5, or deletion 5q were considered to have high-risk disease. Patients with other cytogenetic alterations or normal karyotypes comprised the standard-risk (SR) group, comprising well over half of the patients. Our cross-study analysis demonstrated that the benefit of HSCT was observed in patients with SR disease. A limitation of the study was the small number of patients transplanted for high-risk disease, which precluded firm conclusions being drawn regarding the effect of HSCT for this group.1 We performed a second study, where we expanded the number of patients transplanted for high-risk cytogenetics by incorporating additional patients from the Center for International Blood and Marrow Transplant Research registry. This study also demonstrated no benefit to HSCT.2
CONTEXT
Key Objective
To investigate whether hematopoietic stem cell transplantation (HSCT) in first complete remission (CR1) improves outcomes for pediatric AML.
Knowledge Generated
For pediatric patients diagnosed with high-risk AML based on cytogenetic or molecular features, HSCT in CR1 was associated with improved outcomes compared with chemotherapy alone in CR1. Similar results were observed based on multivariable analysis and across subgroups defined by clinical trial and molecular subtype, with the exception of chromosome 7 or 5 loss.
Relevance (C. Craddock)
Advances in transplant technology coupled with greater availability of alternative donors continue to increase the number of children in whom transplant can be delivered with relative safety. Data from this study demonstrate improved outcomes in pediatric patients with high risk AML confirming the importance of both detailed risk stratification and prioritizing donor identification at diagnosis in this sizable patient population.*
*Relevance section written by JCO Associate Editor Charles Craddock, MD.
Since that time, a myriad of new cytogenetic/molecular (CM) risk factors have been uncovered, largely, through the use of high-throughput sequencing. This research has identified both low-risk and high-risk factors, leading to the expansion of the low-risk and high-risk groups. A second innovation, multidimensional flow-based marrow measurable residual disease (MRD) testing performed at the end of the first cycle of induction, has been harnessed to further refine risk stratification. Using end of induction 1 (EOInd1) MRD testing, patients with SR CM alterations can be separated into the low-risk (MRD−) and high-risk (MRD+) groups.
Advances have also occurred in the approaches to unrelated adult donor, unrelated cord blood, and mismatched related donor transplants since the early 2000s, making it possible to safely expand access to HSCT in patients lacking a matched related donor.3
The Children's Oncology Group (COG) has leveraged the progress made in risk classification and HSCT to refine the use of HSCT in pediatric AML. Use of alternative donor transplants was introduced with the AAML0531 trial (ClinicalTrials.gov identifier: NCT00372593)4 and now comprise the majority of transplants. In the AAML1031 trial (ClinicalTrials.gov identifier: NCT01371981),5 COG introduced the binary risk classification system described above and limited the use of HSCT to patients in the high-risk group. With these changes, the original practice of assigning all patients with an HLA-matched related donor, regardless of disease risk, to HSCT has been replaced by one where all patients falling into the newly expanded high-risk group are assigned to HSCT with the best available donor. Importantly, with the adoption of an expanded list of new high-risk CM markers in the AAML1831 trial (ClinicalTrials.gov identifier: NCT04293562),6-17 the high-risk group is projected to encompass approximately 40% of patients. The efficacy of HSCT for this greatly expanded high-risk group remains uncertain.
To address this matter, we combined clinical and laboratory data from the AAML0531 and AAML1031 trials. Research data (EOInd1 MRD testing for AAML0531 and high-throughput sequencing data for both studies) were incorporated to supplement protocol-mandated laboratory risk testing as needed to classify patients in the combined data set according to the AAML1831 risk schema. Outcomes of patients receiving HSCT and chemotherapy alone were compared in these high-risk patients.
METHODS
Study Design and Patients
Clinical data and biological samples were combined from patients enrolled on two consecutive COG phase III trials for de novo AML: AAML0531 (ClinicalTrials.gov identifier: NCT00372593)4 and AAML1031 (ClinicalTrials.gov identifier: NCT01371981).5 Each protocol was approved by the National Cancer Institute's central institutional review board (IRB) and the local IRB for each participating institution. Patients and/or families provided informed consent or assent as appropriate. Data for this analysis were frozen on December 30, 2019, for AAML0531 and on June 30, 2022, for AAML1031.
For AAML0531, patients (age 0-29 years) were enrolled from 2006 to 2010 and then randomly assigned to receive gemtuzumab ozogamicin in combination with conventional chemotherapy. Patients with monosomy 7, monosomy 5, deletion 5q, FLT3 with internal tandem duplication (ITD) and allelic ratio >0.4 (based on an interim amendment), or >15% blasts (based on morphologic evaluation after induction I) were assigned to the high-risk group. Patients with t(8;21) or inv(16) were assigned to the low-risk group. Those lacking high-risk or low-risk features were assigned to the SR group. Patients proceeded with HSCT in the setting of high-risk disease with an available donor (matched related, unrelated, or cord blood donor) or SR disease with an available matched related donor.
For AAML1031, patients (age 0-29 years) were enrolled from 2011 to 2017 and then randomly assigned to receive bortezomib in combination with conventional chemotherapy (comparable outcomes were observed between these two treatment arms) and nonrandomly assigned to receive sorafenib in the setting of FLT3-ITD AML (with allelic ratio >0.4). Patients with monosomy 7, monosomy 5, deletion 5q, and FLT3-ITD and allelic ratio >0.4 were assigned to the high-risk group. Patients with t(8;21), inv(16), or somatic mutations in either NPM1 or CEBPA were assigned to the low-risk group. EOInd1 MRD testing was used to assign patients with SR CM factors to the low-risk group (negative) and to the high-risk group (positive). Patients proceeded with HSCT in the setting of high-risk disease with an available donor.
An MRD threshold of ≥0.05% was used to categorize patients as MRD+ (≥0.05%) or MRD− (<0.05%).
Whole-genome sequencing and transcriptome sequencing (RNA-seq) were performed on diagnostic samples (Fig 1A; Data Supplement, Table S1, online only) as part of the National Cancer Institute (NIH) Therapeutically Applicable Research to Generate Effective Treatments Initiative, and variant/fusion calling was performed as previously described.18,19
FIG 1.

(A) Flow diagram of COG clinical trials, CM biomarker development, reclassification based on high-throughput sequencing, and methodology. (B) Alluvial diagram comparing historical risk stratification with contemporary CM risk stratification preceding further assignment by measurable residual disease status within the study cohort. aRetrospective. bMLLT1, MLLT2, MLLT4, MLLT10, ABI1. c≥90 days of age at diagnosis. BM, bone marrow; CCG, Children's Cancer Group; CM, cytogenetic/molecular; COG, Children's Oncology Group; CR1, first complete remission; HSCT, hematopoietic stem cell transplantation; MRC, Medical Research Council; MRD, measurable residual disease; PB, peripheral blood; POG, Pediatric Oncology Group.
Of the 2,024 eligible patients enrolled on AAML0531 and AAML1031, 1,770 had sufficient CM and MRD data to assess risk according to the contemporary AAML1831 risk stratification schema (Data Supplement, Table S1). Of the 1,770 patients with sufficient CM and MRD data, 1,445 achieved morphologic complete remission (CR) and received the three chemotherapy courses that preceded HSCT (if prescribed) on AAML0531 or AAML1031 (Fig 2).
FIG 2.

Flow diagram of study cohort. CM, cytogenetic/molecular; CR1, first complete remission; HSCT, hematopoietic stem cell transplantation; MRD, measurable residual disease; SR, standard-risk.
Statistical Analysis
Overall survival (OS) and disease-free survival (DFS) analyses were performed using Kaplan-Meier estimates. Relapse rate was reported as cumulative incidence of relapse (CIR). OS was defined as the time from end of intensification I to death or last follow-up. DFS was defined as the time from end of intensification I to first event (relapse or death) or last follow-up. CIR was defined as the time from end of intensification I to relapse or last follow-up. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) for univariable and multivariable analyses of OS, DFS, and CIR. Differences in OS and DFS between groups were determined using log-rank testing. Differences in CIR between groups were determined using Gray's test. All P values are two-sided and calculated without multiple-testing adjustments. The chi-square test was used to test the significance of differences in proportions, and Fisher's exact test was used when data were sparse. Differences in medians were compared by the Mann-Whitney test. A P < .05 was considered statistically significant.
RESULTS
Patient Characteristics
We considered the two groups comprising our contemporarily defined high-risk stratum, patients with high-risk CM alterations and patients with SR CM results and EOInd1 MRD separately. Of the 1,445 patients aggregated from the two studies, application of the AAML1831 CM risk criteria resulted in the reclassification of 24% of patients (Fig 1B). In total, 636, 346, and 463 were classified as low-, standard-, and high-risk, respectively. EOInd1 MRD results were available on 326 patients with SR CM alterations, of which 72 and 254 were MRD+ and MRD−, respectively.
In all, 33.9% of the 463 patients with high-risk CM alterations underwent HSCT in CR1 and 45.8% of the patients with SR CM results with EOInd1 MRD underwent HSCT in CR1. Only 1.6% and 4.7% of patients who were assigned CM low-risk and SR without EOInd1 MRD underwent HSCT in CR1, respectively (Fig 2). A comparison of baseline characteristics for patients receiving HSCT in CR1 and those receiving chemotherapy alone in CR1 is shown for the patients who were assigned CM high-risk and SR/MRD+ status in Table 1, respectively. HSCT information is reported in the Data Supplement (Tables S2 and S3).
TABLE 1.
Patient Characteristics for CM High-Risk and SR MRD+ Group
| Characteristic | CM High-Risk | CM SR MRD+ | ||||
|---|---|---|---|---|---|---|
| Chemo in CR1 (n = 306), No. (%) | HSCT in CR1 (n = 157), No. (%) | P | Chemo in CR1 (n = 39), No. (%) | HSCT in CR1 (n = 33), No. (%) | P | |
| Gender | ||||||
| Female | 149 (48.7) | 71 (45.2) | .479 | 25 (64.1) | 12 (36.4) | .019 |
| Male | 157 (51.3) | 86 (54.8) | 14 (35.9) | 21 (63.6) | ||
| Race | ||||||
| American Indian or Alaska Native | 3 (1.1) | 0 | .554 | 0 | 0 | — |
| Asian | 11 (4.0) | 9 (6.4) | .275 | 2 (5.9) | 1 (3.4) | 1.000 |
| Black or African American | 40 (14.4) | 13 (9.2) | .129 | 6 (17.6) | 2 (6.9) | .270 |
| Multiple races | 1 (0.4) | 0 | 1.000 | 0 | 0 | — |
| Native Hawaiian or Pacific Islander | 3 (1.1) | 0 | .554 | 0 | 0 | — |
| White | 219 (79.1) | 119 (84.4) | .190 | 26 (76.5) | 26 (89.7) | .170 |
| Unknown | 29 | 16 | 5 | 4 | ||
| Ethnicity | ||||||
| Hispanic or Latino | 52 (17.8) | 21 (14.1) | .321 | 7 (20.0) | 6 (19.4) | .948 |
| Not Hispanic or Latino | 240 (82.2) | 128 (85.9) | 28 (80.0) | 25 (80.6) | ||
| Unknown | 14 | 8 | 4 | 2 | ||
| Age, years | ||||||
| 0-1 | 83 (27.1) | 20 (12.7) | <.001 | 7 (17.9) | 4 (12.1) | .494 |
| 2-10 | 104 (34.0) | 64 (40.8) | .151 | 12 (30.8) | 12 (36.4) | .616 |
| ≥11 | 119 (38.9) | 73 (46.5) | .116 | 20 (51.3) | 17 (51.5) | .984 |
| Study | ||||||
| AAML0531 | 126 (41.2) | 67 (42.7) | .757 | 14 (35.9) | 4 (12.1) | .020 |
| AAML1031 | 180 (58.8) | 90 (57.3) | 25 (64.1) | 29 (87.9) | ||
| Study arma | ||||||
| AAML0531 (arm A) | 55 (18.0) | 35 (22.3) | .266 | 7 (17.9) | 1 (3.0) | .045 |
| AAML0531 (arm B) | 71 (23.2) | 32 (20.4) | .490 | 7 (17.9) | 3 (9.1) | .326 |
| AAML1031 (arm A) | 82 (26.8) | 18 (11.5) | <.001 | 15 (38.5) | 15 (45.5) | .549 |
| AAML1031 (arm B) | 81 (26.5) | 26 (16.6) | .017 | 10 (25.6) | 14 (42.4) | .132 |
| AAML1031 (arm C) | 17 (5.6) | 46 (29.3) | <.001 | 0 | 0 | — |
| MRD at end of induction I | ||||||
| Negative | 205 (74.5) | 72 (49.7) | <.001 | 39 (100) | 33 (100) | 1.000 |
| Positive | 70 (25.5) | 73 (50.3) | 0 | 0 | ||
| Unknown | 31 | 12 | 0 | 0 | ||
Abbreviations: CM, cytogenetic/molecular; CR1, first complete remission; GO, gemtuzumab ozogamicin; HSCT, hematopoietic stem cell transplantation; ITD, internal tandem duplication; MRD, measurable residual disease; SR, standard-risk.
AAML0531 (A = no GO; B = GO); AAML1031 (A = no bortezomib; B = bortezomib; C = sorafenib for FLT3-ITD).
Impact of HSCT on Outcomes in the High-Risk Disease Groups
In the high-risk CM group, HSCT in CR1 was associated with improved outcomes. Five-year OS was 43.7% (95% CI, 37.9 to 49.3) compared with 58.8% (95% CI, 50.5 to 66.1; P = .006) in patients receiving chemotherapy alone in CR1 (n = 306) and HSCT in CR1 (n = 157), respectively. DFS was 26.0% (95% CI, 20.6 to 31.6) compared with 49.8% (95% CI, 41.7 to 57.4; P < .001), and the CIR was 69.3% (95% CI, 63.1 to 74.7) compared with 38.0% (95% CI, 30.4 to 45.6; P < .001; Fig 3; Table 2). In multivariable analysis, after adjustment for EOInd1 MRD status and clinical trial treatment arm, the HRs for the impact of HSCT on OS, DFS, and CIR were 0.711 (95% CI, 0.52 to 0.98; P = .036), 0.518 (95% CI, 0.38 to 0.71; P < .001), and 0.386 (95% CI, 0.27 to 0.54; P < .001; Table 3), respectively. We also performed multivariable analysis, incorporating interaction terms for HSCT in CR1 and EOInd1 MRD. Within the EOInd1 MRD− group, HSCT in CR1 was associated with improved DFS and CIR compared with chemotherapy alone in CR1. Within the EOInd1 MRD+ group, HSCT was associated with improved OS, DFS, and CIR (Data Supplement, Table S4).
FIG 3.

Kaplan-Meier estimates of OS, DFS, and CIR based on contemporary CM risk stratification (standard and high) and MRD status (positive for SR), comparing patients who received chemotherapy alone versus hematopoietic stem cell transplant in first complete remission. CIR, cumulative incidence of relapse; CM, cytogenetic/molecular; DFS, disease-free survival; HSCT, hematopoietic stem cell transplantation; MRD, measurable residual disease; OS, overall survival; SR, standard-risk.
TABLE 2.
Outcomes Based on Chemotherapy Versus HSCT in CR1 Stratified by CM Risk and MRD Status
| Risk and Intervention | No. | 5 Year Overall Survival From End of Intensification I | 5 Year Disease-Free Survival From End of Intensification I | 5 Year Cumulative Incidence of Relapse From End of Intensification I | |||
|---|---|---|---|---|---|---|---|
| % (95% CI) | P | % (95% CI) | P | % (95% CI) | P | ||
| CM standard-risk and MRD+ | |||||||
| Chemo in CR1 | 39 | 39.6 (24.3 to 54.5) | .191 | 16.9 (4.3 to 36.7) | .032 | 74.3 (47.2 to 88.9) | .025 |
| HSCT in CR1 | 33 | 53.7 (35.1 to 69.0) | 50.9 (32.7 to 66.5) | 37.0 (20.5 to 53.5) | |||
| CM high-risk | |||||||
| Chemo in CR1 | 306 | 43.7 (37.9 to 49.3) | .006 | 26.0 (20.6 to 31.6) | <.001 | 69.3 (63.1 to 74.7) | <.001 |
| HSCT in CR1 | 157 | 58.8 (50.5 to 66.1) | 49.8 (41.7 to 57.4) | 38.0 (30.4 to 45.6) | |||
Abbreviations: CM, cytogenetic/molecular; CR1, first complete remission; HSCT, hematopoietic stem cell transplantation; MRD, measurable residual disease.
TABLE 3.
Univariable and Multivariable Survival Analysis of CM High-Risk Group
| Univariable Survival Analysis CM High-Risk Group (n = 463) | No. | 5 Year Overall Survival From End of Intensification I | 5 Year Disease-Free Survival From End of Intensification I | 5 Year Cumulative Incidence of Relapse From End of Intensification I | |||
|---|---|---|---|---|---|---|---|
| HR (95% CI) | P | HR (95% CI) | P | HR (95% CI) | P | ||
| Age category | |||||||
| 0-1 years | 103 | 1.231 (0.87 to 1.74) | .242 | 1.342 (0.98 to 1.84) | .068 | 1.444 (1.03 to 2.03) | .034 |
| 2-10 years | 168 | 1 | 1 | 1 | |||
| ≥11 years | 192 | 1.287 (0.96 to 1.73) | .097 | 1.084 (0.82 to 1.43) | .564 | 0.877 (0.66 to 1.17) | .371 |
| WBC count | |||||||
| <100,000/µL | 365 | 1 | 1 | 1 | |||
| ≥100,000/µL | 98 | 1.091 (0.80 to 1.49) | .583 | 1.126 (0.85 to 1.50) | .419 | 1.006 (0.73 to 1.39) | .971 |
| Treatment | |||||||
| AAML0531 arm A | 90 | 1 | 1 | 1 | |||
| AAML0531 arm B | 103 | 0.758 (0.52 to 1.11) | .156 | 0.715 (0.51 to 1.01) | .056 | 0.655 (0.46 to 0.93) | .018 |
| AAML1031 arm A | 100 | 0.942 (0.65 to 1.37) | .757 | 0.835 (0.59 to 1.19) | .323 | 0.721 (0.49 to 1.06) | .095 |
| AAML1031 arm B | 107 | 0.760 (0.52 to 1.11) | .160 | 0.809 (0.57 to 1.15) | .234 | 0.852 (0.60 to 1.21) | .365 |
| AAML1031 arm C | 63 | 0.512 (0.31 to 0.85) | .009 | 0.481 (0.30 to 0.76) | .002 | 0.359 (0.21 to 0.61) | <.001 |
| Gemtuzumab ozogamicin | |||||||
| No | 360 | 1 | 1 | 1 | |||
| Yes | 103 | 0.924 (0.68 to 1.26) | .617 | 0.895 (0.68 to 1.19) | .439 | 0.870 (0.65 to 1.17) | .357 |
| MRD at end of induction I | |||||||
| Negative | 277 | 1 | 1 | 1 | |||
| Positive | 143 | 1.356 (1.03 to 1.79) | .032 | 1.308 (1.01 to 1.70) | .045 | 1.361 (1.03 to 1.80) | .030 |
| Unknown | 43 | ||||||
| Treatment following intensification I | |||||||
| Chemo in CR1 | 306 | 1 | 1 | 1 | |||
| HSCT in CR1 | 157 | 0.670 (0.50 to 0.89) | .006 | 0.519 (0.40 to 0.68) | <.001 | 0.406 (0.31 to 0.54) | <.001 |
| Multivariable Survival Analysis CM High-Risk Group (n = 420)a | No. | HR (95% CI) | P | HR (95% CI) | P | HR (95% CI) | P |
|---|---|---|---|---|---|---|---|
| Treatment | |||||||
| AAML0531 arm A | 79 | 1 | 1 | 1 | |||
| AAML0531 arm B | 80 | 0.860 (0.57 to 1.31) | .480 | 0.776 (0.53 to 1.13) | .190 | 0.771 (0.52 to 1.15) | .206 |
| AAML1031 arm A | 98 | 1.002 (0.67 to 1.50) | .994 | 0.829 (0.57 to 1.21) | .332 | 0.722 (0.47 to 1.10) | .130 |
| AAML1031 arm B | 106 | 0.801 (0.54 to 1.19) | .275 | 0.848 (0.59 to 1.22) | .375 | 0.913 (0.62 to 1.34) | .641 |
| AAML1031 arm C | 57 | 0.581 (0.34 to 1.00) | .051 | 0.659 (0.40 to 1.10) | .110 | 0.559 (0.30 to 1.04) | .064 |
| MRD at end of induction I | |||||||
| Negative | 277 | 1 | 1 | 1 | |||
| Positive | 143 | 1.549 (1.16 to 2.08) | .003 | 1.648 (1.24 to 2.19) | .001 | 1.869 (1.36 to 2.57) | <.001 |
| Treatment following intensification I | |||||||
| Chemo in CR1 | 275 | 1 | 1 | 1 | |||
| HSCT in CR1 | 145 | 0.711 (0.52 to 0.98) | .036 | 0.518 (0.38 to 0.71) | <.001 | 0.386 (0.27 to 0.54) | <.001 |
Abbreviations: CM, cytogenetic/molecular; CR1, first complete remission; HR, hazard ratio; HSCT, hematopoietic stem cell transplantation; MRD, measurable residual disease.
Sample size based on number of patients with known MRD at end of induction I.
In the SR CM and EOInd1 MRD+ groups, 5-year OS was 39.6% (95% CI, 24.3 to 54.5) compared with 53.7% (95% CI, 35.1 to 69.0; P = .191) in patients receiving chemotherapy alone in CR1 (n = 39) and HSCT in CR1 (n = 33), respectively. DFS was 16.9% (95% CI, 4.3 to 36.7) compared with 50.9% (95% CI, 32.7 to 66.5; P = .032), and CIR was 74.3% (95% CI, 47.2 to 88.9) compared with 37.0 (95% CI, 20.5 to 53.5; P = .025; Fig 3; Table 2). Multivariable analysis was not performed because chemotherapy versus HSCT was the only variable associated with significant differences in outcome in univariable analysis (Data Supplement, Table S5).
In Horan et al,1 we observed no differences between chemotherapy alone versus HSCT in CR1 on the basis of the previous historical definition of high-risk group (monosomy 7, monosomy 5, and deletion 5q). We performed the same analysis within our current study cohort. For patients with monosomy 7, monosomy 5, or deletion 5q, 5-year OS, DFS, and CIR were not significantly different in patients receiving chemotherapy alone versus HSCT in CR1 (Data Supplement, Table S6).
Subgroup Analyses
We performed several subgroup analyses. We examined the relative effect of HSCT in CR1 separately in patients with FLT3-ITD and in patients with all other forms of high-risk CM alterations (Data Supplement, Table S7). OS in patients with FLT3-ITD receiving chemotherapy alone in CR1 (n = 78) was 50.4% (95% CI, 38.5 to 61.1) and in patients receiving HSCT in CR1 (n = 92) was 65.4% (95% CI, 54.5 to 74.3; P = .056). DFS was 30.9% (95% CI, 18.8 to 43.8) and 53.7% (95% CI, 42.9 to 63.4), respectively (P = .001). CIR was 59.5% (95% CI, 44.5 to 71.6) and 35.4% (95% CI, 25.6 to 45.3), respectively (P = .001). OS in patients receiving chemotherapy alone in CR1 for non–FLT3-ITD high-risk CM alterations (n = 227) was 41.6% (95% CI, 35.0 to 48.1) and in patients receiving HSCT in CR1 (n = 64) was 48.3% (95% CI, 35.4 to 60.1; P = .454). DFS was 24.9% (95% CI, 19.0 to 31.2) and 43.3% (95% CI, 30.9 to 55.0), respectively (P = .017). CIR was 71.8% (95% CI, 64.8 to 77.6) and 42.5% (95% CI, 30.1 to 54.4), respectively (P < .001).
We assessed the impact of HSCT for patients with high-risk CM alterations in the AAML0531 and AAML1031 trials separately (Data Supplement, Table S8). OS in patients enrolled on AAML0531 receiving chemotherapy alone in CR1 (N = 126) was 41.7% (95% CI, 32.8 to 50.3) and in patients receiving HSCT in CR1 (n = 67) was 51.2% (95% CI, 38.5 to 62.5; P = .138). DFS was 23.7% (95% CI, 16.4 to 31.7) and 43.1% (95% CI, 31.1 to 54.5), respectively (P = .002). CIR was 71.3% (95% CI, 62.1 to 78.7) and 44.9% (95% CI, 32.6 to 56.4), respectively (P < .001). OS in patients enrolled on AAML1031 receiving chemotherapy alone in CR1 (N = 180) was 45.1% (95% CI, 37.5 to 52.5) and in patients receiving HSCT in CR1 (n = 90) was 64.9% (95% CI, 54.0 to 73.9; P = .015). DFS was 28.3% (95% CI, 20.7 to 36.3) and 55.0% (95% CI, 44.0 to 64.7), respectively (P < .001). CIR was 67.3% (95% CI, 58.3 to 74.8) and 32.8% (95% CI, 23.2 to 42.7), respectively (P < .001). We also performed multivariable analysis for AAML0531 and AAML1031 trials separately. For both AAML0531 and AAML1031, HSCT in CR1 was associated with improved DFS and CIR compared with chemotherapy alone in CR1 (Data Supplement, Tables S9 and S10).
Finally, we assessed the influence of EOInd1 MRD status on transplant outcomes in the high-risk CM group (Data Supplement, Table S11). Five-year OS in the MRD– (n = 72) and MRD+ (n = 73) groups was 63.1% (95% CI, 50.6 to 73.2) and 50.1% (95% CI, 37.8 to 61.2), respectively (P = .139). DFS was 56.6% (95% CI, 44.3 to 67.1) and 37.3% (95% CI, 26.2 to 48.5), respectively (P = .018), and CIR was 28.1% (95% CI, 18.2 to 38.9) and 52.9% (95% CI, 40.5 to 63.8), respectively (P = .001).
DISCUSSION
The results of our analysis indicate that pediatric patients with high-risk AML defined by contemporary criteria benefit from HSCT in CR1. This runs counter to the results of our previous studies, which examined the impact of HSCT in a much smaller high-risk group comprised primarily of patients with monosomy 7, monosomy 5, or deletion 5q, demonstrating no benefit. That research indicated instead that it was the patients with SR disease who derived benefit from HSCT.1,2 A plausible explanation for these divergent results is that with the changes made to the risk classification schema since the early 2000s, approximately half the original SR group has been reallocated to the high-risk group.
Recent studies have investigated the impact of MRD on HSCT outcomes in pediatric AML.20-22 However, our study is the first to incorporate the recent expansion of high-risk alterations uncovered by high-throughput sequencing6-14 to investigate the impact of HSCT versus chemotherapy alone in CR1.
To perform direct comparisons between chemotherapy and HSCT following the prescribed three courses of chemotherapy that preceded HSCT, we restricted our analysis to patients who achieved morphologic CR and received three courses of pretransplant chemotherapy. Our exclusion of patients who do not achieve a CR omits patients who are unlikely to benefit from HSCT, since achieving an adequate antileukemia response before HSCT is a key determinant of outcome.16 Nevertheless, our results should be interpreted within this context and cannot be generalized to cases of refractory disease, where additional courses of chemotherapy or rationale targeted therapies (rather than HSCT without CR) should be considered.
Despite limitations associated with cross-study reports, separate analyses of the two trials revealed similar results, with the notable exception of no significant difference in OS for patients enrolled on AAML0531. There are a few potential reasons for this observation. AAML0531 is the older of the two trials, enrolling patients from 2006 to 2010. Therefore, less advanced HSCT-related supportive care measures may have affected OS. Similarly, more toxic conditioning regimens used for AAML0531 patients may have contributed to increased transplant-related mortality.
The trials included in our original cross-study analysis prospectively allocated patients to HSCT on the basis of the availability of an HLA-matched related donor. The use of donor availability to direct assignment is often referred to as biologic assignment or biologic randomization. Although this approach is not as scientifically rigorous as a true randomization, it continues to be used in trials comparing HSCT with nontransplant therapies, where randomization may deter participation or pose ethical challenges. A strength of this approach is that it allows intention to treat analysis on the basis of donor availability, often referred to as donor versus no donor analyses. A limitation of our current analysis is that it was not feasible to do an intention to treat analysis. The allocation of patients with high-risk disease on both trials to HSCT using the best donor available and the retrospective reclassification of risk precluded this.
Despite this significant limitation, we believe that the consistent association of HSCT with improved outcomes across multiple analyses in our study strongly suggests that pediatric patients with contemporarily defined high-risk AML benefit from HSCT in CR1. Consolidative transplantation was associated with improvement in outcomes in patients in the high-risk CM group, SR CM with EOInd1 MRD+ group, the subset of patients enrolled on the AAML0531 trial as well as the AAML1031 trial, the subset of patients with FLT3-ITD, and the subset of patients with other high-risk CM alterations, with the exception of chromosome 7 or 5 loss. Only 12 of 254 patients within the SR CM with EOInd1 MRD− group underwent HSCT in CR1, precluding our ability to draw conclusions for this group. Finally, in multivariable analysis for the high-risk CM group (the one group large enough for multivariable analysis), HSCT remained strongly associated with improved outcomes.
ACKNOWLEDGMENT
Dedicated to the memory of W.G.W., a dear friend and mentor.
DISCLAIMER
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
PRIOR PRESENTATION
Presented at the American Society of Hematology Annual Meeting, San Diego, CA, December 10, 2023.
SUPPORT
Supported by the Children's Oncology Group; the National Cancer Institute of the National Institutes of Health (K08CA256489 [B.J.H.], COG Chair's Grant U10CA098543, NCTN Statistics & Data Center U10CA180899, NCTN Operations Center Grant U10CA180886); and the St Baldrick's Foundation Consortium Grant.
CLINICAL TRIAL INFORMATION
NCT00372593 (AAML0531) and NCT01371981 (AAML1031)
B.J.H. and L.K.M. contributed equally.
DATA SHARING STATEMENT
A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/JCO-24-01841. The data generated for this study have been deposited in dbGaP under phs000465.v21.p8 (https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000465.v21.p8) and is available through controlled-access, as part of the NIH Genomic Data Sharing Policy to ensure that all approved investigators and institutions abide by the NIH Genomic Data User Code of Conduct, the terms of the Data Use Certification, and the Security Best Practices for Controlled Access Data (for more details, https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html).
AUTHOR CONTRIBUTIONS
Conception and design: Benjamin J. Huang, Todd A. Alonzo, E. Anders Kolb, Soheil Meshinchi, Joseph H. Chewning, William G. Woods, John T. Horan
Provision of study materials or patients: Betsy Hirsch, Richard Aplenc, Alan S. Gamis, Gordana Raca
Collection and assembly of data: Todd A. Alonzo, Adam J. Lamble, Rhonda E. Ries, Weijie Wang, Betsy Hirsch, Gordana Raca, Richard Aplenc, E. Anders Kolb, Michael R. Loken
Data analysis and interpretation: Benjamin J. Huang, Lauren K. Meyer, Todd A. Alonzo, Yi-Cheng Wang, Adam J. Lamble, Weijie Wang, Xiaotu Ma, Alan S. Gamis, Richard Aplenc, E. Anders Kolb, Todd M. Cooper, Katherine Tarlock, Soheil Meshinchi, Joseph H. Chewning, John T. Horan
Manuscript writing: All authors
Final approval of manuscript: All authors
Accountable for all aspects of the work: All authors
AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
Hematopoietic Stem Cell Transplantation Outcomes for High-Risk AML: A Report From the Children's Oncology Group
The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/jco/authors/author-center.
Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).
E. Anders Kolb
This author is a member of the Journal of Clinical Oncology Editorial Board. Journal policy recused the author from having any role in the peer review of this manuscript.
Travel, Accommodations, Expenses: Roche/Genentech
Todd M. Cooper
Employment: Day One Biopharmaceuticals (I)
Michael R. Loken
Employment: Hematologics Inc, Hematologics (I)
Leadership: Hematologics, Inc, Hematologics (I)
Stock and Other Ownership Interests: Hematologics, Inc, Hematologics (I)
Consulting or Advisory Role: Newlink Genetics
Joseph H. Chewning
Employment: None
Leadership: None
No other potential conflicts of interest were reported.
E. Anders Kolb
This author is a member of the Journal of Clinical Oncology Editorial Board. Journal policy recused the author from having any role in the peer review of this manuscript.
Travel, Accommodations, Expenses: Roche/Genentech
Todd M. Cooper
Employment: Day One Biopharmaceuticals (I)
Michael R. Loken
Employment: Hematologics Inc, Hematologics (I)
Leadership: Hematologics, Inc, Hematologics (I)
Stock and Other Ownership Interests: Hematologics, Inc, Hematologics (I)
Consulting or Advisory Role: Newlink Genetics
Joseph H. Chewning
Employment: None
Leadership: None
No other potential conflicts of interest were reported.
REFERENCES
- 1. Horan JT, Alonzo TA, Lyman GH, et al. Impact of disease risk on efficacy of matched related bone marrow transplantation for pediatric acute myeloid leukemia: The Children's Oncology Group. J Clin Oncol. 2008;26:5797–5801. doi: 10.1200/JCO.2007.13.5244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Kelly MJ, Horan JT, Alonzo TA, et al. Comparable survival for pediatric acute myeloid leukemia with poor-risk cytogenetics following chemotherapy, matched related donor, or unrelated donor transplantation. Pediatr Blood Cancer. 2014;61:269–275. doi: 10.1002/pbc.24739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Cusatis R, Litovich C, Feng Z, et al. Current trends and outcomes in cellular therapy activity in the United States, including prospective patient reported outcomes data collection within the CIBMTR registry. Transplant Cell Ther. 2024;30:917.e1–917.e12. doi: 10.1016/j.jtct.2024.06.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Gamis AS, Alonzo TA, Meshinchi S, et al. Gemtuzumab ozogamicin in children and adolescents with de novo acute myeloid leukemia improves event-free survival by reducing relapse risk: results from the randomized phase III Children's Oncology Group trial AAML0531. J Clin Oncol. 2014;32:3021–3032. doi: 10.1200/JCO.2014.55.3628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Aplenc R, Meshinchi S, Sung L, et al. Bortezomib with standard chemotherapy for children with acute myeloid leukemia does not improve treatment outcomes: A report from the Children's Oncology Group. Haematologica. 2020;105:1879–1886. doi: 10.3324/haematol.2019.220962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Gruber TA, Larson Gedman A, Zhang J, et al. An Inv(16)(p13.3q24.3)-encoded CBFA2T3-GLIS2 fusion protein defines an aggressive subtype of pediatric acute megakaryoblastic leukemia. Cancer Cell. 2012;22:683–697. doi: 10.1016/j.ccr.2012.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. de Rooij JD, Branstetter C, Ma J, et al. Pediatric non-Down syndrome acute megakaryoblastic leukemia is characterized by distinct genomic subsets with varying outcomes. Nat Genet. 2017;49:451–456. doi: 10.1038/ng.3772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Faber ZJ, Chen X, Gedman AL, et al. The genomic landscape of core-binding factor acute myeloid leukemias. Nat Genet. 2016;48:1551–1556. doi: 10.1038/ng.3709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Tarlock K, Alonzo TA, Wang YC, et al. Functional properties of KIT mutations are associated with differential clinical outcomes and response to targeted therapeutics in CBF acute myeloid leukemia. Clin Cancer Res. 2019;25:5038–5048. doi: 10.1158/1078-0432.CCR-18-1897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Tarlock K, Lamble AJ, Wang YC, et al. CEBPA-bZip mutations are associated with favorable prognosis in de novo AML: A report from the Children's Oncology Group. Blood. 2021;138:1137–1147. doi: 10.1182/blood.2020009652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Pollard JA, Alonzo TA, Gerbing R, et al. Sorafenib in combination with standard chemotherapy for children with high allelic ratio FLT3/ITD+ acute myeloid leukemia: A report from the Children's Oncology Group protocol AAML1031. J Clin Oncol. 2022;40:2023–2035. doi: 10.1200/JCO.21.01612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Pollard JA, Alonzo TA, Gerbing RB, et al. Prevalence and prognostic significance of KIT mutations in pediatric patients with core binding factor AML enrolled on serial pediatric cooperative trials for de novo AML. Blood. 2010;115:2372–2379. doi: 10.1182/blood-2009-09-241075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Huang BJ, Smith J, Wang YC, et al. CBFB-MYH11 fusion transcripts distinguish acute myeloid leukemias with distinct molecular landscapes and outcomes. Blood Adv. 2021;5:4963–4968. doi: 10.1182/bloodadvances.2021004965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Bolouri H, Farrar JE, Triche T, Jr, et al. The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions. Nat Med. 2018;24:103–112. doi: 10.1038/nm.4439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Loken MR, Alonzo TA, Pardo L, et al. Residual disease detected by multidimensional flow cytometry signifies high relapse risk in patients with de novo acute myeloid leukemia: A report from Children's Oncology Group. Blood. 2012;120:1581–1588. doi: 10.1182/blood-2012-02-408336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Jacobsohn DA, Loken MR, Fei M, et al. Outcomes of measurable residual disease in pediatric acute myeloid leukemia before and after hematopoietic stem cell transplant: Validation of difference from normal flow cytometry with chimerism studies and Wilms tumor 1 gene expression. Biol Blood Marrow Transplant. 2018;24:2040–2046. doi: 10.1016/j.bbmt.2018.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Brodersen LE, Gerbing RB, Pardo ML, et al. Morphologic remission status is limited compared to ΔN flow cytometry: A Children's Oncology Group AAML0531 report. Blood Adv. 2020;4:5050–5061. doi: 10.1182/bloodadvances.2020002070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Ma X, Liu Y, Liu Y, et al. Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours. Nature. 2018;555:371–376. doi: 10.1038/nature25795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Huang BJ, Smith JL, Farrar JE, et al. Integrated stem cell signature and cytomolecular risk determination in pediatric acute myeloid leukemia. Nat Commun. 2022;13:5487. doi: 10.1038/s41467-022-33244-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Zheng Y, Pan L, Li J, et al. Prognostic significance of multiparametric flow cytometry minimal residual disease at two time points after induction in pediatric acute myeloid leukemia. BMC Cancer. 2024;24:46. doi: 10.1186/s12885-023-11784-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. van Weelderen RE, Klein K, Harrison CJ, et al. Measurable residual disease and fusion partner independently predict survival and relapse risk in childhood KMT2A-rearranged acute myeloid leukemia: A study by the International Berlin-Frankfurt-Münster Study Group. J Clin Oncol. 2023;41:2963–2974. doi: 10.1200/JCO.22.02120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hu GH, Cheng YF, Lu AD, et al. Allogeneic hematopoietic stem cell transplantation can improve the prognosis of high-risk pediatric t(8;21) acute myeloid leukemia in first remission based on MRD-guided treatment. BMC Cancer. 2020;20:553. doi: 10.1186/s12885-020-07043-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/JCO-24-01841. The data generated for this study have been deposited in dbGaP under phs000465.v21.p8 (https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000465.v21.p8) and is available through controlled-access, as part of the NIH Genomic Data Sharing Policy to ensure that all approved investigators and institutions abide by the NIH Genomic Data User Code of Conduct, the terms of the Data Use Certification, and the Security Best Practices for Controlled Access Data (for more details, https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html).
