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Genomic analyses have redefined the molecular subgrouping of pediatric acute lymphoblastic leukemia (ALL). Molecular subgroups guide risk-stratification and targeted therapies, but outcomes of recently identified subtypes are often unclear, owing to limited cases with comprehensive profiling and cross-protocol studies. We developed a machine learning tool (ALLIUM) for the molecular subclassification of ALL in retrospective cohorts as well as for up-front diagnostics. ALLIUM uses DNA methylation and gene expression data from 1131 Nordic ALL patients to predict 17 ALL subtypes with high accuracy. ALLIUM was used to revise and verify the molecular subtype of 281 B-cell precursor ALL (BCP-ALL) cases with previously undefined molecular phenotype, resulting in a single revised subtype for 81.5% of these cases. Our study shows the power of combining DNA methylation and gene expression data for resolving ALL subtypes and provides a comprehensive population-based retrospective cohort study of molecular subtype frequencies in the Nordic countries.

Background: Few biological markers are associated with survival after relapse of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). In pediatric T-cell ALL, we have identified promoter-associated methylation alterations that correlate with prognosis. Here, the prognostic relevance of CpG island methylation phenotype (CIMP) classification was investigated in pediatric BCP-ALL patients.

Methods: Six hundred and one BCP-ALL samples from Nordic pediatric patients (age 1-18) were CIMP classified at initial diagnosis and analyzed in relation to clinical data.

Results: Among the 137 patients that later relapsed, patients with a CIMP-profile (n = 42) at initial diagnosis had an inferior overall survival (pOS(5years) 33%) compared to CIMP+ patients (n = 95, pOS(5years) 65%) (p = 0.001), which remained significant in a Cox proportional hazards model including previously defined risk factors.

Conclusion: CIMP classification is a strong candidate for improved risk stratification of relapsed BCP-ALL.

The prognosis of children with acute myeloid leukemia (AML) is improving but still unsatisfactory. We and others have shown that measurable residual disease (MRD) as measured with multiparameter flow cytometry (MFC) is a very strong prognostic factor, however this technique cannot reliably identify low-risk cases. An alternative approach for MRD analysis is quantification of leukemia-specific transcripts using reverse transcription followed by quantitative polymerase chain reaction (RT-qPCR). This approach has shown strong prognostic value in adult AML but its significance in childhood AML is less studied. In this retrospective study, we evaluated early treatment response with RT-qPCR and MFC in parallel to determine treatment kinetics and the relationship between results of the two methods. The study included 15 children (7 females, 8 males, median age 6 years (range 1-16)), diagnosed 2004-2011 with de novo AML with a quantifiable fusion transcript (8 with RUNX1-RUNX1T1, one with CBFB-MYH11 and 6 with KMT2A-MLLT3), all treated in the NOPHO AML-2004 trial. MRD analyses were performed on samples from day 15 from start of the first induction course and just before the first consolidation course. MRD analysis with MFC was performed in bone marrow samples by identifying leukemia-associated immunophenotypes (LAIP), and reported as percent of viable cells. Fusion transcripts were analyzed with RT-qPCR in bone marrow and blood according to the Europe against cancer program, and reported as percentage of diagnostic level in bone marrow. Results of all MRD analyses were reported to clinicians but not used for treatment decisions. All patients achieved complete remission. 9 patients relapsed (median time from diagnosis 12 months, range 8-16); 5 with RUNX1-RUNX1T1 and 4 with KMT2A-MLLT3. When we compared results of RT-qPCR in blood and bone marrow day 15 and before consolidation, there was a high correlation; 0.93, p<0.01. When 0.1% was used as cut-off for positivity, 20/22 samples were concordant (Cohens kappa test K value 0.818, P<0.001) with the two disconcordant samples positive in bone marrow but negative in blood before consolidation. Of the concordant samples, 9 were ≥0.1% and 11 were <0.1% in both bone marrow and blood. There was no significant correlation between results obtained with MFC and RT-qPCR, neither in bone marrow nor in blood. When comparing MFC and RT-qPCR results in bone marrow using the 0.1% cut-off, only 12 of 22 samples were concordant (4/10 at day 15, 8/12 before consolidation, in total 55% agreement; K value 0.141, P=0.36). Most discordant results (9/10) were ≥0.1% with RT-qPCR but negative (<0.1%) with MFC. There was a pattern of slower treatment kinetics with higher MRD results obtained with RT-qPCR than MFC. In cases with RUNX1-RUNX1T1 fusion transcript levels were 22% (median, range 12-63%) of diagnostic value day 15 and 0.03% (0-1.4%) before consolidation. In cases with KMT2A/MLLT3, the corresponding levels were 15% (0 - 40%) and 0 (0-0.038%). There was no difference in relapse frequency between children with fusion transcripts ≥0.1% or <0.1% day 15. On the other hand, two patients with RUNX1-RUNX1T1 fusion transcript level ≥0.1% but negative with MFC before consolidation both relapsed. In order to find the reason for remaining high levels of fusion transcripts day 15 when the bone marrow is usually hypoplastic, we reanalyzed flow cytometry files from four cases with remaining fusion transcript >0.1%. These analyses confirmed the absence of immature cells with LAIP and detected either more mature myeloid cells or immature cells without LAIP. We hypothesize that fusion transcripts can be present in mature cells not detected as MRD using MFC. This was supported by analyzing sorted immature and mature cells from bone marrow samples at diagnosis of AML (n=4, adults). In CD34-CD117+ cells, leukemic transcripts (RUNX1-RUNX1T1/CBFB-MYH11/mutated NPM1) were 67±10% (mean±SEM) of the level in the most immature cells, CD34+CD117+, from the same patients and in mature granulocytes (CD34-CD117-, high SSC) 88±9%. In conclusion, RT-qPCR and MFC provide different information during induction treatment. RT-qPCR has a stronger ability to detect remaining leukemic burden, but whether this burden is clinically relevant remains to be shown. The impact of fusion transcript levels on relapse risk is currently investigated in the NOPHO-DBH AML-2012 trial in which MFC is used for risk stratification.

Background: Treatment of relapsed childhood acute lymphoblastic leukemia (ALL) is particularly challenging due to the high treatment intensity needed to induce and sustain a second remission. To improve results, it is important to understand how treatment-related toxicity impacts survival.

Procedure: In this retrospective population-based study, we described the causes of death and estimated the risk for treatment-related mortality in patients with first relapse of childhood ALL in the Nordic Society of Paediatric Haematology and Oncology ALL-92 and ALL-2000 trials.

Results: Among the 483 patients who received relapse treatment with curative intent, we identified 52 patients (10.8%) who died of treatment-related causes. Twelve of these died before achieving second remission and 40 died in second remission. Infections were the cause of death in 38 patients (73.1%), predominantly bacterial infections during the chemotherapy phases of the relapse treatment. Viral infections were more common following hematopoietic stem cell transplantation (HSCT) in second remission. Independent risk factors for treatment-related mortality were as follows: high-risk stratification at relapse (hazard ratio [HR] 2.2; 95% confidence interval [CI] 1.3-3.9; P < 0.01), unfavorable cytogenetic aberrations (HR 3.4; 95% CI 1.3-9.2; P = 0.01), and HSCT (HR 4.64; 95% CI 2.17-9.92; P < 0.001). In contrast to previous findings, we did not observe any statistically significant sex or age differences. Interestingly, none of the 17 patients with Down syndrome died of treatment-related causes.

Conclusions: Fatal treatment complications contribute significantly to the poor overall survival after relapse. Implementation of novel therapies with reduced toxicity and aggressive supportive care management are important to improve survival in relapsed childhood ALL.

Background: The improved survival rates for childhood acute lymphoblastic leukemia (ALL) may be jeopardized by the development of a second cancer, which has been associated with thiopurine therapy. Procedure: We retrospectively analyzed three sequential Nordic Society of Paediatric Haematology and Oncology's protocols characterized by increasing intensity of thiopurine-based maintenance therapy. We explored the risk of second cancer in relation to protocols, risk group, thiopurine methyltransferase (TPMT) activity, ALL high hyperdiploidy (HeH), and t(12;21)[ETV6/RUNX1]. Results: After median 9.5 years (interquartile range, 5.4-15.3 yrs) of follow-up, 40 of 3,591 patients had developed a second cancer, of whom 38 had non-high-risk B-cell precursor ALL. Patients with standard-risk ALL, who received the longest maintenance therapy, had the highest adjusted hazard of second cancer (hazard ratio [HR], intermediate vs. standard risk: 0.16, 95% CI: 0.06-0.43, P < 0.001; HR, high vs. standard risk: 0.09, 95% CI: 0.02-0.49, P = 0.006); no significant effects of protocol, age, or white blood cell count at diagnosis, ALL HeH, or t(12;21)[ETV6/RUNX1] were observed. A subset analysis on the patients with standard-risk ALL did not show an increased hazard of second cancer from either HeH or t(12;21) (adjusted HR 2.02, 95% CI: 0.69-5.96, P = 0.20). The effect of low TPMT low activity was explored in patients reaching maintenance therapy in clinical remission (n = 3,368); no association with second cancer was observed (adjusted HR 1.43, 95% CI: 0.54-3.76, P = 0.47). Conclusions: The rate of second cancer was generally highest in patients with low-risk ALL, but we could not identify a subset at higher risk than others.

Hyperleucocytosis in paediatric acute myeloid leukaemia (AML) is associated with increased morbidity and mortality. We studied hyperleucocytosis in 890 patients with AML aged 0-18 years registered in the Nordic Society of Paediatric Haematology and Oncology (NOPHO) registry, with special focus on very high white blood cell counts (WBC > 200 x 10/l). Eighty-six patients (10%) had WBC 100-199 x 10(9)/l and 57 (6%) had WBC >= 200 x 10(9)/l. Patients with WBC >= 200 x 10(9)/l had a high frequency of t(9;11) and a paucity of trisomy 8. Due to the high frequency of deaths within the first 2 weeks (30% vs. 1% for all others), overall survival in this group was inferior to patients with WBC <200 x 10(9)/l (39% vs. 61%). Main cause of early death was intracranial haemorrhage and leucostasis. Twenty-six per cent of these patients never started antileukaemic protocol therapy. Leukapheresis or exchange transfusion was used in 24% of patients with hyperleucocytosis without impact on survival. Patients with hyperleucocytosis surviving the first week had identical survival as patients with lower WBC. We conclude that death within the first days after diagnosis is the major challenge in patients with high WBC and advocate rapid initiation of intensive chemotherapy.

Given that 30-40% of children with acute myeloid leukaemia (AML) relapse after primary therapy it is important to define prognostic factors and identify optimal therapy. From 1993 to 2012, 543 children from the Nordic countries were treated according to two consecutive protocols: 208 children relapsed. The influence of disease characteristics, first line treatment, relapse therapy and duration of first remission on outcome was analysed. Second complete remission (CR2) was achieved in 146 (70%) patients. Estimated 5-year overall survival (OS5y) was 39 +/- 4% for the whole group and 43 +/- 4% for the 190 patients given re-induction therapy, of whom 76% received regimens that included fludarabine, cytarabine (FLA) +/- anthracyclines, 18% received Nordic Society for Paediatric Haematology and Oncology (NOPHO) upfront blocks and 5% received other regimens. Late relapse >= 1 year from diagnosis, no allogeneic stem cell transplantation (SCT) in first remission and core binding factor AML were independent favourable prognostic factors for survival. For the 128 children (124 in CR2) that received SCT as consolidation therapy after relapse, OS5y was 61 +/- 5%. Four of 19 children (21%) survived without receiving SCT as part of relapse therapy. Our data show that intensive re-induction followed by SCT can give cure rates of 40% in children with relapsed AML.

Background: Structural chromosomal rearrangements that lead to expressed fusion genes are a hallmark of acute lymphoblastic leukemia (ALL). In this study, we performed transcriptome sequencing of 134 primary ALL patient samples to comprehensively detect fusion transcripts.

Methods: We combined fusion gene detection with genome-wide DNA methylation analysis, gene expression profiling, and targeted sequencing to determine molecular signatures of emerging ALL subtypes.

Results: We identified 64 unique fusion events distributed among 80 individual patients, of which over 50% have not previously been reported in ALL. Although the majority of the fusion genes were found only in a single patient, we identified several recurrent fusion gene families defined by promiscuous fusion gene partners, such as ETV6, RUNX1, PAX5, and ZNF384, or recurrent fusion genes, such as DUX4-IGH. Our data show that patients harboring these fusion genes displayed characteristic genome-wide DNA methylation and gene expression signatures in addition to distinct patterns in single nucleotide variants and recurrent copy number alterations.

Conclusion: Our study delineates the fusion gene landscape in pediatric ALL, including both known and novel fusion genes, and highlights fusion gene families with shared molecular etiologies, which may provide additional information for prognosis and therapeutic options in the future.

Background: Studies on adolescents and young adults with acute lymphoblastic leukemia suggest better results when using pediatric protocols for adult patients, while corresponding data for acute myeloid leukemia (AML) are limited. Procedure: We investigated disease characteristics and outcome for de novo AML patients 10-30 years old treated in pediatric or adult departments. We included 166 patients 10-18 years of age with AML treated according to the pediatric NOPHO-protocols (1993-2009) compared with 253 patients aged 15-30 years treated in hematology departments (1996-2009) in the Nordic countries. Results: The incidence of AML was 4.9/million/year for the age group 10-14 years, 6.5 for 15-18 years, and 6.9 for 19-30 years. Acute promyelocytic leukemia (APL) was more frequent in adults and in females of all ages. Pediatric patients with APL had similar overall survival as pediatric patients without APL. Overall survival at 5 years was 60% (52-68%) for pediatric patients compared to 65% (58-70%) for adult patients. Cytogenetics and presenting white blood cell count were the only independent prognostic factors for overall survival. Age was not an independent prognostic factor. Conclusions: No difference was found in outcome for AML patients age 10-30 years treated according to pediatric as compared to adult protocols.

To characterize the mutational patterns of acute lymphoblastic leukemia (ALL) we performed deep next generation sequencing of 872 cancer genes in 172 diagnostic and 24 relapse samples from 172 pediatric ALL patients. We found an overall greater mutational burden and more driver mutations in T-cell ALL (T-ALL) patients compared to B-cell precursor ALL (BCP-ALL) patients. In addition, the majority of the mutations in T-ALL had occurred in the original leukemic clone, while most of the mutations in BCP-ALL were subclonal. BCP-ALL patients carrying any of the recurrent translocations ETV6-RUNX1, BCR-ABL or TCF3-PBX1 harbored few mutations in driver genes compared to other BCP-ALL patients. Specifically in BCP-ALL, we identified ATRX as a novel putative driver gene and uncovered an association between somatic mutations in the Notch signaling pathway at ALL diagnosis and increased risk of relapse. Furthermore, we identified EP300, ARID1A and SH2B3 as relapse-associated genes. The genes highlighted in our study were frequently involved in epigenetic regulation, associated with germline susceptibility to ALL, and present in minor subclones at diagnosis that became dominant at relapse. We observed a high degree of clonal heterogeneity and evolution between diagnosis and relapse in both BCP-ALL and T-ALL, which could have implications for the treatment efficiency.