Abstract
Relapse is the main reason for treatment failure in childhood acute lymphoblastic leukemia. Despite improvements in the up-front therapy, survival after relapse is still relatively poor, especially for high-risk relapses. The aims of this study were to assess outcomes following acute lymphoblastic leukemia relapse after common initial Nordic Society of Paediatric Haematology and Oncology protocol treatment; to validate currently used risk stratifications, and identify additional prognostic factors for overall survival. Altogether, 516 of 2735 patients (18.9%) relapsed between 1992 and 2011 and were included in the study. There were no statistically significant differences in outcome between the up-front protocols or between the relapse protocols used, but an improvement over time was observed. The 5-year overall survival for patients relapsing in the period 2002–2011 was 57.5±3.4%, but 44.7±3.2% (P<0.001) if relapse occurred in the period 1992–2001. Factors independently predicting mortality after relapse included short duration of first remission, bone marrow involvement, age ten years or over, unfavorable cytogenetics, and Down syndrome. T-cell immunophenotype was not an independent prognostic factor unless in combination with hyperleukocytosis at diagnosis. The outcome for early combined pre-B relapses was unexpectedly poor (5-year overall survival 38.0±10.6%), which supports the notion that these patients need further risk adjustment. Although survival outcomes have improved over time, the development of novel approaches is urgently needed to increase survival in relapsed childhood acute lymphoblastic leukemia.Introduction
With advances in chemotherapy, hematopoietic stem cell transplantation (HSCT) and supportive care, long-term survival in childhood acute lymphoblastic leukemia (ALL) is now 85–90%.21 Despite increasing concerns regarding treatment-related mortality and second malignancies, the main reason for treatment failure is still relapse.3 In the Nordic countries, the relapse rate was close to 40% between 1981 and 1993 and only 30% remained in long-term second remission.4 Over the last two decades, the reported relapse rates have been 15–20%6531 in the developed countries and the overall survival after relapse approximately 40–70%, depending on the follow-up time and the risk groups involved.127
Since 1992, all children aged one year and over diagnosed with pre-B and T-cell ALL in the Nordic countries (Denmark, Finland, Iceland, Norway, Sweden) have been treated according to a common Nordic Society of Paediatric Haematology and Oncology (NOPHO) ALL protocol. Children with relapsed ALL, on the other hand, have been treated heterogeneously since there has not been a common NOPHO ALL relapse protocol. The most commonly used relapse protocols have been the high-risk (HR) arms of the NOPHO ALL-92 or ALL-2000 front-line protocols, the German Berlin Frankfurt Münster (BFM) ALL-REZ relapse protocols, and the Finnish Relapse in Acute Lymphoblastic Leukemia (RALLE) pilot protocol,13 which was used mainly in Finland between 2004 and 2010. After 2009, the British Children’s Cancer and Leukemia Group (CCLG) ALLR3 relapse protocol has also been used in the Nordic countries, but the International study for treatment of childhood Relapsed ALL (IntReALL) trial is expected to replace other relapse protocols in the near future.
Risk stratification at relapse is based on the time from initial diagnosis to relapse, the anatomic site of relapse, and immunophenotype.1410 In addition, the most recent relapse protocols have integrated therapy response with minimal residual disease (MRD) for further treatment adjustments.1615119 But unlike risk stratification at primary diagnosis, cytogenetic aberrations, including MLL rearrangements1817 and hypodiploidy,2019 currently do not directly modify relapse treatment intensity. Patients meeting high-risk criteria at relapse are recommended to undergo allogeneic HSCT in CR2, but the indication for HSCT in patients with lower risk is still under dispute, although in most centers patients with high MRD after conventional re-induction are candidates for allogeneic HSCT.218 Rigorous selection of patients for the most appropriate treatment intensity is important not only to minimize the risk of subsequent relapses but also to minimize treatment-related toxicity and mortality.2522
Relatively few studies of the long-term outcome after relapsed childhood ALL have been published. Our study cohort is population-based and includes over 500 patients treated according to common up-front protocols, making it, to our best knowledge, the largest of its kind. We hypothesize that thorough analysis of prognostic factors, validation of the current risk stratification and comparison of treatment modalities could be helpful in improving treatment for relapsed childhood ALL.
Methods
Study population and data collection
Information on all children aged 1.0–14.9 years at diagnosis (n=2735) treated according to the NOPHO ALL-92 (n=1644) and ALL-2000 (n=1091) protocols were extracted from the NOPHO ALL registry and patients that relapsed before January 1st 2012 were identified. In 516 (18.9%) patients, relapse occurred as a primary event, in 339 (20.6%) after ALL-92 treatment, and in 177 (16.2%) following ALL-2000 treatment. In total, 130 (4.8%) patients underwent allogeneic HSCT in CR1 of which 31 (23.8%) relapsed. Since patients that relapse after HSCT in CR1 differ substantially from patients treated with chemotherapy only, in baseline characteristics, treatment and outcome, they were excluded from all outcome analysis. Thus this report includes the 485 relapse patients who did not receive HCST in CR1. The database was frozen on the 31st of December 2013 and this dataset was used for outcome analysis. In 95 patients for whom the registration of relapse treatment, therapy response, outcome or follow-up status was incomplete, data were acquired from the treating hospitals to supplement the registration. Data concerning genetic aberrations were centrally reviewed by the NOPHO cytogenetic group. Cytogenetic findings were divided into four groups. Unfavorable: hypodiploidy (modal chromosomal number <45), MLL rearrangements, t(9;22) BCR/ABL and t(1;19); Favorable: high hyperdiploidy (modal chromosomal number >50) and t(12;21); Other: iAMP21, dic(9;20), unspecified chromosomal abnormalities; and Normal/missing: 46XX/XY or missing values. See Online Supplementary Appendix for the definition of relapse and second complete remission. This study was approved by the Ethical Review Board in Stockholm and was conducted in accordance with the Declaration of Helsinski.
Treatment
A detailed description of the risk groups and treatment used in the NOPHO ALL-92 and ALL-2000 protocols, as well as a comparison of the long-term results of these up-front ALL treatments have been published by Schmiegelow et al.1 We categorized the relapse treatment into four groups: ALL-REZ BFM protocols (90, 95/96 and 2002), NOPHO ALL-92 and ALL-2000 HR arms used as relapse therapy, RALLE pilot and “other treatment”. The “other treatment” group included patients treated with combinations of protocols, the CCLG ALLR3 relapse protocol, Children’s Cancer Group (CCG) relapse protocols and non-protocol chemotherapy. None of the 5 patients with t(9;22) were treated with tyrosine kinase inhibitors.
Statistical analysis
Base-line variables were compared between the two up-front protocols using Fisher’s exact tests for categorical variables and the Mann-Whitney U test for continuous variables. In all survival analyses, the time-scale was defined by the time of diagnosis of relapse. Ten patients were lost to follow up, all in CR2 at the time of last contact and with a median time of follow up of 8.2 years (range 1.1–12.2 years). The Kaplan-Meier method was applied for generating survival curves for event-free survival (EFS) and overall survival (OS). Log rank test was used for comparing survival across groups. Cox’s proportional hazards regression models were used for analysis of prognostic factors, estimating hazard ratios (HR) with 95% confidence intervals. OS was defined as the period from relapse diagnosis to death from any cause and censoring occurred at the date of last known follow up. In the analysis of EFS, patients were censored at the time of occurrence of the following second events: last known follow up for patients alive in CR2, second relapse, second malignancy (SMN), death caused by resistant disease or re-induction failure or death of undefined cause for patients in CR2. Cumulative incidence curves of second events were estimated by accounting for the competing nature of the second events.26 The methods used for analyzing HSCT patients are described in the Online Supplementary Appendix. All tests were two-sided. P<0.05 were considered statistically significant. SPSS Statistics software version 21.0 and STATA version 13 were used for all statistical analyses.
Results
Patients’ characteristics and second events
The characteristics and second events among patients with ALL relapse are listed in Online Supplementary Tables S1 and S2. Of the 103 patients with isolated extramedullary relapses, 72 had isolated CNS relapses, 17 isolated testicular, three combined CNS and testicular, and 11 included other extramedullary sites (Online Supplementary Tables S2). In total, 134 patients (28%) had CNS involvement at relapse of which 30 (22%) were T-cell lineage. Of the 104 patients with very early relapses, 89 (86%) were initially stratified as high or greater [68% if classified as high-risk according to the National Cancer Institute (NCI) risk groups]. The only statistically significant differences in the relapse pattern between the upfront protocols were the distribution of cytogenetic findings (which can largely be explained by improvements in the detection methods), and the distribution of second events (which can partly be explained by the shorter follow-up time for the ALL-2000 patients). Subsequent relapse was the most common second event, occurring in 38% of patients. Second malignancies occurred in 11 patients of which 7 had undergone HSCT in CR2.
To validate the commonly used risk classification systems, we retrospectively assigned relapse risk groups according to the criteria in the new IntReALL trial and compared the overall survival between the groups (Table 1). This risk-grouping is based on the CCLG and the BFM risk categories. Patients with early combined pre-B ALL relapses were stratified as standard-risk but the 5 year-OS was only 38.0±10.6% (standard eror, s.e.). Fifteen of these 21 patients underwent HSCT in CR2.
In total, 57 patient with Down syndrome were treated according to the NOPHO ALL-92 and ALL-2000 protocols of which 18 relapsed (32%): 17 after chemotherapy only and one after HSCT in CR1. Twelve were initially treated with the NOPHO ALL-92 protocol and 6 with the ALL-2000 protocol. Fifteen patients were categorized as standard-risk at relapse, but even though 14 of them reached CR2 and 3 subsequently underwent HSCT in CR2, only 3 survived long term. All deaths occured after second relapse.
Prognostic factors
Since we were studying a large cohort, we were able to include a number of variables in the regression analysis. The results of the Cox’s proportional hazards regression analysis for overall survival are presented in Table 2. Primary risk groups were not included in the adjusted models since we adjusted for base-line characteristics at diagnosis. In the univariate analyses, age ten years or over at primary diagnosis, T-cell immunophenotype, short time in CR1, hyperleukocytosis at primary diagnosis, isolated bone marrow relapse, and unfavorable cytogenetics were adverse prognostic factors. In the first adjusted model, time to relapse (worse if earlier), site of relapse (worse if involving the bone marrow), age ten years or over at primary diagnosis, unfavorable cytogenetics and Down syndrome were all statistically significant independent prognostic factors. Adding up-front or relapse protocol to the adjusted model did not generate significant HRs or result in any notable change in the HRs of the other co-variates in the models. Immunophenotype is commonly used in the risk assessment at relapse, but although immunophenotype was a risk factor in the univariate analysis, it was not in the multivariate analysis. In the second adjusted model, we added an interaction variable combining immunophenotype and WBC at diagnosis and found that T-cell lineage disease with hyperleukocytosis at primary diagnosis (n=27; 24 high-risk, 3 standard risk) was a notable independent risk factor for survival after relapse, HR 2.38 (95%CI: 1.43–3.96; P=0.001). We analyzed separately the standard-risk group and adjusted for sex, age, Down syndrome and cytogenetics (data not shown). For the standard-risk group, age ten years or over HR 1.99 (1.24–3.21; P=0.004) and Down syndrome, HR 4.70 (2.46–8.94; P<0.001) were both independent prognostic factors for overall survival.
Survival analysis
In the whole study population, the 5-year EFS was 43.7±2.3% and the 5-year OS was 51.5±2.3%. At five years, the EFS for the ALL-92 patients was 42.1±2.7% and the OS was 49.8±2.8% but 46.8±4.2 and 52.7±4.4% for the ALL-2000 patients, respectively. To investigate if there was a generally improved prognosis over time, the patients were divided into two relapse periods, 1992–2001 (n=239) and 2002–2011 (n=246), approximately corresponding to the timing of the introduction of more general MRD measurements in the Nordic countries.
Both OS and EFS were markedly higher for patients who relapsed between the years 2002–2011 compared to 1992–2001 (Figure 1A and B). HR for death was 0.62 (0.48–0.80; P<0.001) for 2002–2011 but for second events the HR was 0.64 (0.51–0.82; P<0.001). We compared the cumulative incidence of second events between the two relapse periods and found a reduction of second relapses in the later period (Figure 1C). There were no statistically significant differences between the time periods for the other second events. Looking for a possible explanation for these differences, we compared the pattern of relapse between the two time periods and observed a difference in the time distribution of relapses (Online Supplementary S3). In 1992–2001, 26.8% of relapses occurred very early, 32.6% early, and 40.6% late, but between 2002 and 2011, 16.3% occurred very early, 28.9% early, and 54.9% late (P=0.002).
Relapse treatment
The ALL-REZ BFM protocols were the most commonly used treatment for ALL relapse (60%) (Table 3). The proportion of patients receiving BFM treatments was relatively stable over the whole study period but the proportion of patients receiving NOPHO treatment was much lower in the later part of the study period (no patient after 2005). In addition, 8 patients were treated with the CCLG’s ALLR3 protocol 2009–2011. The CR2 rate for the whole study period was 91%: 97% for standard-risk relapses and 82% for high-risk relapses. The CR2 rate for isolated extramedullary relapses was 95% and 90% for bone marrow relapses, but only 71% for very early bone marrow relapses, compared to 97% for late bone marrow relapses. There was no significante difference in CR2 rate between the two primary protocols, relapse periods or specific relapse protocols. We did not observe a statistically significant difference in overall survival between the relapse protocols used during the study period (Table 3).
Hematopoietic stem cell transplantation
Hematopoietic stem cell transplantation in CR2 was performed in 207 of the 485 patients (43%) included in the study: 137 of 324 ALL-92 patients (42%) and 70 of 161 ALL-2000 patients (44%). The allocation to HSCT was 43% (102 of 239) during 1992–2001 and 43% (105 of 246) during 2002–2011. The proportion of standard-risk patients allocated to HSCT was slightly higher in the period 1992–2001 (41% vs. 34%) but the proportion of high-risk patients allocated to HSCT increased from 45% during the period 1992–2001 to 61% during the period 2002–2011.
As expected, OS for high-risk patients was markedly higher if HSCT was performed in CR2, 46.7±5.1% compared to 25.0±6.0% (P<0.001). Interestingly, we observed the opposite association in the standard-risk group in which the overall survival was 61.1±4.8% for patients allocated to HSCT in CR2 compared to 74.5±3.6% (P=0.02) if continuation chemotherapy was used for consolidation. We investigated the effect of HSCT in CR2 on survival in the standard-risk group further in a time-dependent regression model and found a HR for the HSCT group of 2.94 (95%CI: 1.90–4.53) (Table 4). Adjusting for other non-stratifying base-line variables neither changed the HRs significantly (2.82; 95%CI: 1.80–4.41) nor yielded additional co-variates with a statistically significant and independent association with prognosis. Since there were only 3 patients with T-cell immunophenotype plus hyperleukocytosis in the standard-risk group, this variable was not included in the model as a single co-variate. Of the 27 patients with T-cell disease and hyperleukocytosis, 13 underwent HSCT in CR2 but only 4 survived (15%).
Discussion
Relapse of ALL is still one of the most common childhood cancer subgroups with an incidence similar to rhabdomyosarcoma and nephroblastoma (Wilms tumor).27 Despite the vast improvement in outcome after up-front ALL treatment, the increase in survival after relapse has not been as pronounced.28121074 In this study, an improvement in OS over time was observed and is now close to 60%. Table 5 summarizes the reported results in relapsed childhood ALL from multicenter trials and cohorts over the last three decades.
At present, patients with relapsed ALL are allocated to different risk groups based on the immunophenotype, the time from primary diagnosis to relapse and the anatomic site of relapse. But unlike the risk stratification at primary diagnosis, cytogenetics are not used to individualize the treatment intensity. We demonstrate that unfavorable cytogenetics, age ten years or over, T-cell immunophenotype with hyperleukocytosis and Down syndrome were all additional individual prognostic factors in relapsed ALL.
The time from diagnosis to relapse is the strongest known individual risk factor for overall survival.294 Nearly 90% of patients with very early relapses were stratified as high-risk or greater at initial diagnosis indicating that clinical and genetic features present at diagnosis affect survival after relapse.3130 In this study, two-thirds of the T-cell relapses occurred within 18 months, but contrary to previous findings, immunophenotype was not an individual prognostic factor for OS since it was over-ruled by other co-variates in the adjusted regression analysis. Interestingly, the interaction between WBC at diagnosis and T-cell immunophenotype created a strong prognostic variable. Only 4 out of 27 (15%) patients with T-cell immunophenotype and hyperleukocytosis survived long-term despite the use of HSCT in CR2 in 13 (48%) of them. However, this risk factor may be of limited additional value since with the current risk stratification, the majority of these patients are categorized as high-risk at relapse.
Children with Down syndrome have both an increased risk of developing ALL32 and an increased risk of treatment-related toxicity during primary ALL treatment.332523 Historically, Down syndrome ALL (DS-ALL) has been associated with inferior outcome, both with regard to OS and EFS.3534 In this study, DS-ALL was associated with very poor outcome, irrespective of the time period (early vs. late period) and the fact that most of these patients were stratified as standard-risk. Second relapses were the most common reason for treatment failure, indicating that patients with relapsed DS-ALL might have been treated with less intensive post-induction regimens to minimize the risk of treatment toxicity but subsequently failed to remain in long-term second remission.36 In a study by Meyr et al., children with DS had worse outcome after relapse mainly because of increased toxicity rather than subsequent relapse, but if the relapse occurred after the year 2000 this difference was not maintained.35
Adverse clinical factors, such as the time to relapse, age3837 and WBC39 and cytogenetic risk factors,201817 are most likely surrogate markers for underlying submicroscopic genetic abnormalities.4240 With increased understanding of the biology of ALL, genetic factors are expected to be included in the future risk stratification and serve as targets for novel therapies.4543
Despite the adjustments made to the NOPHO ALL-2000 protocol, OS did not differ significantly from the ALL-92 protocol: 5-year OS 89.1±1.1% and 87.6±0.8%, respectively.1 Although the relapse rate was lower after the ALL-2000 treatment, it is expected that some of the late relapses from the ALL-2000 era are yet to occur. Although the pattern of relapse and outcome after relapse was very similar between the two NOPHO protocols, we observed a significant improvement in outcome for relapses occurring between 2002 and 2011 compared to 1992–2001, as well as a lower proportion of relapses generally associated with worse outcome (very early and early relapses) in the later period. In addition, we did not find a statistically significant difference in the CR2 rate or survival between the relapse protocols used during the study period, which supports the view that factors other than the protocol used explain the survival improvement and the changes in the relapse pattern between the two time periods. Minimal residual disease was measured in 73% of patients during the NOPHO ALL-2000 trial. However, although it was not used for risk stratification, it was optional to proceed to HSCT if MRD was 10-3 % or over after three months of treatment.1 The retrospective study design and the lack of detailed MRD-data in our cohort constitute a drawback, but to estimate the effect of MRD on survival in general we compared outcomes before and after the year 2002, roughly coinciding with the general introduction of MRD analysis in most Nordic childhood cancer centers. The use of MRD in the assessment of treatment response after re-induction and preceding allogeneic HSCT in CR2 was obligatory in the ALL-REZ BFM 2002 and RALLE protocols. However, although not obligatory in the NOPHO ALL-2000 HR protocol, it was still available in many centers, since evidence at that time supported the stratification by MRD over morphology.4846 Therefore, after 2002 non-high-risk patients with high MRD levels after re-induction were recommended to undergo allogeneic HSCT in CR2 and a larger proportion of the high-risk patients was likely to be disease-free preceding HSCT.2116 The introduction of MRD could, therefore, be one of the explanations for the observed overall reduction of first and second relapses over time.
Our results indicate that patients stratified as standard-risk at relapse have worse OS after HSCT in CR2 compared to chemotherapy only. Although we adjusted for base-line variables such as age, WBC at diagnosis and cytogenetics, this survival difference remained clearly significant. However, this may reflect the fact that those patients selected for HSCT had a higher risk based on the MRD response after re-induction. This would result in a selection of patients with a higher risk of death to the HSCT group and MRD negative patients to the chemotherapy group. Previous studies have shown superior outcome after HSCT in CR2 for MRD positive standard-risk patients,98 but in this study we did not find other risk factors or subgroups that seem to benefit from HSCT in CR2. Furthermore, the overall outcome of the SCT-group improved in the second time-period, when MRD was presumably available speaking against this type of negative selection (data not shown).
From 2015, the new international trial, IntReALL, will be the treatment of choice for relapsed childhood ALL in the Nordic countries. Our results indicate that the risk classification used in IntReALL is a reasonable approach, but we question whether early combined pre-B relapses should be classified as standard-risk instead of high-risk, since the 5-year overall survival for this subgroup was only 38.0% (±10.6%), despite the fact that 14 of the 21 patients underwent HSCT in CR2. In the ALL-REZ BFM 2002 protocol, intermediate-risk patients with high MRD levels after re-induction have been recommended to undergo allogeneic HSCT in CR2 if a donor is available. With these adjustments, the outcome for both good and poor responders has been similar (approximately 70% long-term OS), but the outcome for patients with early combined pre-B relapses has remained poor.8
Conclusion
Over recent decades, improvements in the NOPHO ALL treatment have caused a reduction in the relapse rate. However, although improved survival over time was observed in this study, OS, especially for the high-risk patients, is still relatively poor. Most patients achieve second complete remission regardless of treatment protocol. But despite current treatment modalities, one-third of patients suffer second relapse. Therefore, better consolidation methods are needed without increasing the burden of treatment toxicities. Tailored risk-adapted treatment is the cornerstone of modern relapse therapy, but there is an urgent need for the development of new drugs and targeted therapies. There have been few reports on randomized controlled trials in patients with relapsed childhood ALL, and with the numbers of relapse patients decreasing, an international collaboration is very important to serve as a platform for progress to be made in the treatment of relapsed childhood ALL.
Footnotes
- Check the online version for the most updated information on this article, online supplements, and information on authorship & disclosures: www.haematologica.org/content/101/1/68
- FundingThis project was supported with a grant from the Swedish Childhood Cancer Foundation, Barncancerfonden.
- Received June 4, 2015.
- Accepted October 20, 2015.
References
- Schmiegelow K, Forestier E, Hellebostad M. Long-term results of NOPHO ALL-92 and ALL-2000 studies of childhood acute lymphoblastic leukemia. Leukemia. 2010; 24(2):345-354. PubMedhttps://doi.org/10.1038/leu.2009.251Google Scholar
- Hunger SP, Lu X, Devidas M. Improved survival for children and adolescents with acute lymphoblastic leukemia between 1990 and 2005: a report from the children’s oncology group. J Clin Oncol. 2012; 30(14):1663-1669. PubMedhttps://doi.org/10.1200/JCO.2011.37.8018Google Scholar
- Stary J, Zimmermann M, Campbell M. Intensive Chemotherapy for Childhood Acute Lymphoblastic Leukemia: Results of the Randomized Intercontinental Trial ALL IC-BFM 2002. J Clin Oncol. 2014; 32(3):174-184. PubMedhttps://doi.org/10.1200/JCO.2013.48.6522Google Scholar
- Schroeder H, Garwicz S, Kristinsson J, Siimes MA, Wesenberg F, Gustafsson G. Outcome after first relapse in children with acute lymphoblastic leukemia: a population-based study of 315 patients from the Nordic Society of Pediatric Hematology and Oncology (NOPHO). Med Pediatr Oncol. 1995; 25(5):372-378. PubMedhttps://doi.org/10.1002/mpo.2950250503Google Scholar
- Moricke A, Zimmermann M, Reiter A. Long-term results of five consecutive trials in childhood acute lymphoblastic leukemia performed by the ALL-BFM study group from 1981 to 2000. Leukemia. 2010; 24(2):265-284. PubMedhttps://doi.org/10.1038/leu.2009.257Google Scholar
- Escherich G, Horstmann MA, Zimmermann M, Janka-Schaub GE. Cooperative study group for childhood acute lymphoblastic leukaemia (COALL): long-term results of trials 82,85,89,92 and 97. Leukemia. 2009; 24(2):298-308. PubMedGoogle Scholar
- Roy A, Cargill A, Love S. Outcome after first relapse in childhood acute lymphoblastic leukaemia - lessons from the United Kingdom R2 trial. Br J Haematol. 2005; 130(1):67-75. PubMedhttps://doi.org/10.1111/j.1365-2141.2005.05572.xGoogle Scholar
- Eckert C, Henze G, Seeger K. Use of allogeneic hematopoietic stem-cell transplantation based on minimal residual disease response improves outcomes for children with relapsed acute lymphoblastic leukemia in the intermediate-risk group. J Clin Oncol. 2013; 31(21):2736-2742. PubMedhttps://doi.org/10.1200/JCO.2012.48.5680Google Scholar
- Eckert C, von Stackelberg A, Seeger K. Minimal residual disease after induction is the strongest predictor of prognosis in intermediate risk relapsed acute lymphoblastic leukaemia - long-term results of trial ALL-REZ BFM P95/96. Eur J Cancer. 2013; 49(6):1346-1355. PubMedhttps://doi.org/10.1016/j.ejca.2012.11.010Google Scholar
- Einsiedel HG, von Stackelberg A, Hartmann R. Long-term outcome in children with relapsed ALL by risk-stratified salvage therapy: results of trial acute lymphoblastic leukemia-relapse study of the Berlin-Frankfurt-Munster Group 87. J Clin Oncol. 2005; 23(31):7942-7950. PubMedhttps://doi.org/10.1200/JCO.2005.01.1031Google Scholar
- Parker C, Waters R, Leighton C. Effect of mitoxantrone on outcome of children with first relapse of acute lymphoblastic leukaemia (ALL R3): an open-label randomised trial. Lancet. 2010; 376(9757):2009-2017. PubMedhttps://doi.org/10.1016/S0140-6736(10)62002-8Google Scholar
- Tallen G, Ratei R, Mann G. Long-term outcome in children with relapsed acute lymphoblastic leukemia after time-point and site-of-relapse stratification and intensified short-course multidrug chemotherapy: results of trial ALL-REZ BFM 90. J Clin Oncol. 2010; 28(14):2339-2347. PubMedhttps://doi.org/10.1200/JCO.2009.25.1983Google Scholar
- Saarinen-Pihkala UM, Parto K, Riikonen P. RALLE pilot: response-guided therapy for marrow relapse in acute lymphoblastic leukemia in children. J Pediatr Hematol Oncol. 2012; 34(4):263-270. PubMedhttps://doi.org/10.1097/MPH.0b013e3182352da9Google Scholar
- Raetz EA, Borowitz MJ, Devidas M. Reinduction platform for children with first marrow relapse of acute lymphoblastic Leukemia: A Children’s Oncology Group Study[corrected]. J Clin Oncol. 2008; 26(24):3971-3978. PubMedhttps://doi.org/10.1200/JCO.2008.16.1414Google Scholar
- Paganin M, Zecca M, Fabbri G. Minimal residual disease is an important predictive factor of outcome in children with relapsed ‘high-risk’ acute lymphoblastic leukemia. Leukemia. 2008; 22(12):2193-2200. PubMedhttps://doi.org/10.1038/leu.2008.227Google Scholar
- Coustan-Smith E, Gajjar A, Hijiya N. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia after first relapse. Leukemia. 2004; 18(3):499-504. PubMedhttps://doi.org/10.1038/sj.leu.2403283Google Scholar
- Forestier E, Johansson B, Gustafsson G. Prognostic impact of karyotypic findings in childhood acute lymphoblastic leukaemia: a Nordic series comparing two treatment periods. For the Nordic Society of Paediatric Haematology and Oncology (NOPHO) Leukaemia Cytogenetic Study Group. Br J Haematol. 2000; 110(1):147-153. PubMedhttps://doi.org/10.1046/j.1365-2141.2000.02153.xGoogle Scholar
- Pui CH, Chessells JM, Camitta B. Clinical heterogeneity in childhood acute lymphoblastic leukemia with 11q23 rearrangements. Leukemia. 2003; 17(4):700-706. PubMedhttps://doi.org/10.1038/sj.leu.2402883Google Scholar
- Raimondi SC, Zhou Y, Mathew S. Reassessment of the prognostic significance of hypodiploidy in pediatric patients with acute lymphoblastic leukemia. Cancer. 2003; 98(12):2715-2722. PubMedhttps://doi.org/10.1002/cncr.11841Google Scholar
- Nachman JB, Heerema NA, Sather H. Outcome of treatment in children with hypodiploid acute lymphoblastic leukemia. Blood. 2007; 110(4):1112-1115. PubMedhttps://doi.org/10.1182/blood-2006-07-038299Google Scholar
- Bader P, Kreyenberg H, Henze GH. Prognostic value of minimal residual disease quantification before allogeneic stem-cell transplantation in relapsed childhood acute lymphoblastic leukemia: the ALL-REZ BFM Study Group. J Clin Oncol. 2009; 27(3):377-384. PubMedhttps://doi.org/10.1200/JCO.2008.17.6065Google Scholar
- Saarinen-Pihkala UM, Heilmann C, Winiarski J. Pathways through relapses and deaths of children with acute lymphoblastic leukemia: role of allogeneic stem-cell transplantation in Nordic data. J Clin Oncol. 2006; 24(36):5750-5762. PubMedhttps://doi.org/10.1200/JCO.2006.07.1225Google Scholar
- Christensen MS, Heyman M, Mottonen M, Zeller B, Jonmundsson G, Hasle H. Treatment-related death in childhood acute lymphoblastic leukaemia in the Nordic countries: 1992–2001. Br J Haematol. 2005; 131(1):50-58. PubMedhttps://doi.org/10.1111/j.1365-2141.2005.05736.xGoogle Scholar
- O’Connor D, Bate J, Wade R. Infection-related mortality in children with acute lymphoblastic leukemia: an analysis of infectious deaths on UKALL2003. Blood. 2014; 124(7):1056-1061. PubMedhttps://doi.org/10.1182/blood-2014-03-560847Google Scholar
- Lund B, Asberg A, Heyman M. Risk factors for treatment related mortality in childhood acute lymphoblastic leukaemia. Pediatr Blood Cancer. 2011; 56(4):551-559. PubMedhttps://doi.org/10.1002/pbc.22719Google Scholar
- Gray RJ. A Class of K-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk. The Annals of Statistics. 1988; 16(3):1141-1154. https://doi.org/10.1214/aos/1176350951Google Scholar
- Ward E, DeSantis C, Robbins A, Kohler B, Jemal A. Childhood and adolescent cancer statistics, 2014. CA: A Cancer Journal for Clinicians. 2014; 64(2):83-103. PubMedhttps://doi.org/10.3322/caac.21219Google Scholar
- Malempati S, Gaynon PS, Sather H, La MK, Stork LC. Outcome after relapse among children with standard-risk acute lymphoblastic leukemia: Children’s Oncology Group study CCG-1952. J Clin Oncol. 2007; 25(36):5800-5807. PubMedhttps://doi.org/10.1200/JCO.2007.10.7508Google Scholar
- Nguyen K, Devidas M, Cheng SC. Factors influencing survival after relapse from acute lymphoblastic leukemia: a Children’s Oncology Group study. Leukemia. 2008; 22(12):2142-2150. PubMedhttps://doi.org/10.1038/leu.2008.251Google Scholar
- Eckert C, Flohr T, Koehler R. Very early/early relapses of acute lymphoblastic leukemia show unexpected changes of clonal markers and high heterogeneity in response to initial and relapse treatment. Leukemia. 2011; 25(8):1305-1313. PubMedhttps://doi.org/10.1038/leu.2011.89Google Scholar
- Choi S, Henderson MJ, Kwan E. Relapse in children with acute lymphoblastic leukemia involving selection of a preexisting drug-resistant subclone. Blood. 2007; 110(2):632-639. PubMedhttps://doi.org/10.1182/blood-2007-01-067785Google Scholar
- Hasle H, Clemmensen IH, Mikkelsen M. Risks of leukaemia and solid tumours in individuals with Down’s syndrome. Lancet. 2000; 355(9199):165-169. PubMedhttps://doi.org/10.1016/S0140-6736(99)05264-2Google Scholar
- Shah N, Al-Ahmari A, Al-Yamani A, Dupuis L, Stephens D, Hitzler J. Outcome and toxicity of chemotherapy for acute lymphoblastic leukemia in children with Down syndrome. Pediatr Blood Cancer. 2009; 52(1):14-19. PubMedhttps://doi.org/10.1002/pbc.21737Google Scholar
- Buitenkamp TD, Izraeli S, Zimmermann M. Acute lymphoblastic leukemia in children with Down syndrome: a retrospective analysis from the Ponte di Legno study group. Blood. 2014; 123(1):70-77. PubMedhttps://doi.org/10.1182/blood-2013-06-509463Google Scholar
- Meyr F, Escherich G, Mann G. Outcomes of treatment for relapsed acute lymphoblastic leukaemia in children with Down syndrome. Br J Haematol. 2013; 162(1):98-106. PubMedhttps://doi.org/10.1111/bjh.12348Google Scholar
- Bohnstedt C, Levinsen M, Rosthoj S. Physicians compliance during maintenance therapy in children with Down syndrome and acute lymphoblastic leukemia. Leukemia. 2013; 27(4):866-870. PubMedhttps://doi.org/10.1038/leu.2012.325Google Scholar
- Möricke A, Zimmermann M, Reiter A. Prognostic Impact of Age in Children and Adolescents with Acute Lymphoblastic Leukemia: Data from the Trials ALL-BFM 86, 90, and 95. Klin Padiatr. 2005; 217(06):310-320. PubMedhttps://doi.org/10.1055/s-2005-872515Google Scholar
- Forestier E, Schmiegelow K, The Incidence Peaks of the Childhood Acute Leukemias Reflect Specific Cytogenetic Aberrations. J Pediat Hematol Oncol. 2006; 28(8):486-495. PubMedhttps://doi.org/10.1097/01.mph.0000212972.90877.28Google Scholar
- Vaitkeviciene G, Forestier E, Hellebostad M. High white blood cell count at diagnosis of childhood acute lymphoblastic leukaemia: biological background and prognostic impact. Results from the NOPHO ALL-92 and ALL-2000 studies. Eur J Haematol. 2011; 86(1):38-46. PubMedhttps://doi.org/10.1111/j.1600-0609.2010.01522.xGoogle Scholar
- Yang JJ, Bhojwani D, Yang W. Genome-wide copy number profiling reveals molecular evolution from diagnosis to relapse in childhood acute lymphoblastic leukemia. Blood. 2008; 112(10):4178-4183. PubMedhttps://doi.org/10.1182/blood-2008-06-165027Google Scholar
- Staal FJ, de Ridder D, Szczepanski T. Genome-wide expression analysis of paired diagnosis-relapse samples in ALL indicates involvement of pathways related to DNA replication, cell cycle and DNA repair, independent of immune phenotype. Leukemia. 2010; 24(3):491-499. PubMedhttps://doi.org/10.1038/leu.2009.286Google Scholar
- Bhojwani D, Kang H, Moskowitz NP. Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children’s Oncology Group study. Blood. 2006; 108(2):711-717. PubMedhttps://doi.org/10.1182/blood-2006-02-002824Google Scholar
- Hogan LE, Meyer JA, Yang J. Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies. Blood. 2011; 118(19):5218-5226. PubMedhttps://doi.org/10.1182/blood-2011-04-345595Google Scholar
- Kuiper RP, Waanders E, van der Velden VH. IKZF1 deletions predict relapse in uniformly treated pediatric precursor B-ALL. Leukemia. 2010; 24(7):1258-1264. PubMedhttps://doi.org/10.1038/leu.2010.87Google Scholar
- Chen IM, Harvey RC, Mullighan CG. Outcome modeling with CRLF2, IKZF1, JAK, and minimal residual disease in pediatric acute lymphoblastic leukemia: a Children’s Oncology Group study. Blood. 2012; 119(15):3512-3522. PubMedhttps://doi.org/10.1182/blood-2011-11-394221Google Scholar
- Panzer-Grumayer ER, Schneider M, Panzer S, Fasching K, Gadner H. Rapid molecular response during early induction chemotherapy predicts a good outcome in childhood acute lymphoblastic leukemia. Blood. 2000; 95(3):790-794. PubMedGoogle Scholar
- Biondi A, Valsecchi MG, Seriu T. Molecular detection of minimal residual disease is a strong predictive factor of relapse in childhood B-lineage acute lymphoblastic leukemia with medium risk features. A case control study of the International BFM study group. Leukemia. 2000; 14(11):1939-1943. PubMedhttps://doi.org/10.1038/sj.leu.2401922Google Scholar
- Donadieu J, Hill C. Early response to chemotherapy as a prognostic factor in childhood acute lymphoblastic leukaemia: a methodological review. Br J Haematol. 2001; 115(1):34-45. PubMedhttps://doi.org/10.1046/j.1365-2141.2001.03064.xGoogle Scholar
- Lawson SE, Harrison G, Richards S. The UK experience in treating relapsed childhood acute lymphoblastic leukaemia: a report on the medical research council UKALLR1 study. Br J Haematol. 2000; 108(3):531-543. PubMedhttps://doi.org/10.1046/j.1365-2141.2000.01891.xGoogle Scholar
- Domenech C, Mercier M, Plouvier E. First isolated extramedullary relapse in children with B-cell precursor acute lymphoblastic leukaemia: results of the Cooprall-97 study. Eur J Cancer. 2008; 44(16):2461-2469. PubMedhttps://doi.org/10.1016/j.ejca.2008.08.007Google Scholar