Background: There are many known undesirable side effects during childhood acute lymphoblastic leukemia (ALL) therapy. However, the reasons why some patients suffer from toxicities and others do not remains to be elucidated.
We aimed to identify relapse predictors in children with a B-cell precursor acute lymphoblastic leukemia (ALL) and an intrachromosomal amplification of chromosome 21 (iAMP21), a novel genetic entity associated with poor outcome.We screened 1,625 patients who were enrolled onto the Austrian and German ALL-Berlin-Frankfurt-Münster (ALL-BFM) trials 86, 90, 95, and 2000 with ETV6/RUNX1-specific fluorescent in situ hybridization probes, and we identified 29 patient cases (2%) who had an iAMP21. Minimal residual disease (MRD) was quantified with clone-specific immunoglobulin and T-cell receptor gene rearrangements.Twenty-five patients were good responders to prednisone, and all achieved remission after induction therapy. Eleven patients experienced relapse, which included eight who experienced relapse after cessation of front-line therapy. Six-year event-free and overall survival rates were 37% +/- 14% and 66% +/- 11%, respectively. Results of MRD analysis were available in 24 (83%) of 29 patients: nine (37.5%) belonged to the low-risk, 14 (58.5%) to the intermediate-risk, and one (4%) to the high-risk group. MRD results were available in 8 of 11 patients who experienced a relapse. Seven occurred among the 14 intermediate-risk patients, and one occurred in the high-risk patient.The overall and early relapse rates in the BFM study were lower than that in a previous United Kingdom Medical Research Council/Childhood Leukemia Working Party study (38% v 61% and 27% v 47%, respectively), which might result from more intensive induction and early reintensification therapy in the ALL-BFM protocols. MRD values were the only reliable parameter to discriminate between a low and high risk of relapse (P = .02).
Approximately 10% of cases of childhood cancer arise in the context of a cancer predisposition syndrome (CPS) [1].Among the rare CPS, Li-Fraumeni syndrome (LFS, MIM#151623) is relatively common and estimated to account for >1% of cases of childhood cancer [2].LFS is a dominantly inherited condition caused by pathogenic germline variants in the TP53 tumor suppressor gene [3,4].Children with LFS are predisposed to a range of neoplasms such as osteosarcoma, adrenocortical carcinoma, medulloblastoma, choroid plexus carcinoma, anaplastic rhabdomyosarcoma, and (frequently hypodiploid) acute lymphoblastic leukemia (LFS-ALL) [5,6].Notably,
Purpose Applying current diagnostic methods, overt CNS involvement is a rare event in childhood acute lymphoblastic leukemia (ALL). In contrast, CNS-directed therapy is essential for all patients with ALL because without it, the majority of patients eventually will experience relapse. To approach this discrepancy and to explore potential distinct biologic properties of leukemic cells that migrate into the CNS, we compared gene expression profiles of childhood ALL patients with initial CNS involvement with the profiles of CNS-negative patients. Patients and Methods We evaluated leukemic gene expression profiles from the bone marrow of 17 CNS-positive patients and 26 CNS-negative patients who were frequency matched for risk factors associated with CNS involvement. Results were confirmed by real-time quantitative polymerase chain reaction analysis and validated using independent patient samples. Results Interleukin-15 (IL-15) expression was consistently upregulated in leukemic cells of CNS-positive patients compared with CNS-negative patients. In multivariate analysis, IL-15 expression levels greater than the median were associated with CNS involvement compared with expression equal to or less than the median (odds ratio [OR] = 10.70; 95% CI, 2.95 to 38.81). Diagnostic likelihood ratios for CNS positivity were 0.09 (95% CI, 0.01 to 0.65) for the first and 6.93 (95% CI, 2.55 to 18.83) for the fourth IL-15 expression quartiles. In patients who were CNS negative at diagnosis, IL-15 levels greater than the median were associated with subsequent CNS relapse compared with expression equal to or less than the median (OR = 13.80; 95% CI, 3.38 to 56.31). Conclusion Quantification of leukemic IL-15 expression at diagnosis predicts CNS status and could be a new tool to further tailor CNS-directed therapy in childhood ALL.
Background: In the international AIEOP-BFM ALL 2009 trial, asparaginase (ASE) activity was monitored after each dose of pegylated Escherichia coli ASE (PEG-ASE). Two methods were used: the aspartic acid β-hydroxamate (AHA) test and medac asparaginase activity test (MAAT). As the latter method overestimates PEG-ASE activity because it calibrates using E. coli ASE, method comparison was performed using samples from the AIEOP-BFM ALL 2009 trial. Methods: PEG-ASE activities were determined using MAAT and AHA test in 2 sets of samples (first set: 630 samples and second set: 91 samples). Bland–Altman analysis was performed on ratios between MAAT and AHA tests. The mean difference between both methods, limits of agreement, and 95% confidence intervals were calculated and compared for all samples and samples grouped according to the calibration ranges of the MAAT and the AHA test. Results: PEG-ASE activity determined using the MAAT was significantly higher than when determined using the AHA test ( P < 0.001; Wilcoxon signed-rank test). Within the calibration range of the MAAT (30–600 U/L), PEG-ASE activities determined using the MAAT were on average 23% higher than PEG-ASE activities determined using the AHA test. This complies with the mean difference reported in the MAAT manual. With PEG-ASE activities >600 U/L, the discrepancies between MAAT and AHA test increased. Above the calibration range of the MAAT (>600 U/L) and the AHA test (>1000 U/L), a mean difference of 42% was determined. Because more than 70% of samples had PEG-ASE activities >600 U/L and required additional sample dilution, an overall mean difference of 37% was calculated for all samples (37% for the first and 34% for the second set). Conclusions: Comparison of the MAAT and AHA test for PEG-ASE activity confirmed a mean difference of 23% between MAAT and AHA test for PEG-ASE activities between 30 and 600 U/L. The discrepancy increased in samples with >600 U/L PEG-ASE activity, which will be especially relevant when evaluating high PEG-ASE activities in relation to toxicity, efficacy, and population pharmacokinetics.
