Abstract
In trial ALL-BFM 2000, high-risk (HR) acute lymphoblastic leukemia (ALL) is defined by inadequate initial response to induction treatment [poor prednisone response on treatment day eight (PPR), non remission on treatment day 33, and/or a high load of minimal residual disease (MRD, ≥10E-3) after 12 weeks of treatment (TP2) and/or by positive cytogenetics for a t(4;11) or t(9;22)]. Recently, we presented data on the prospective evaluation of MRD at additional time-points under HR-treatment and showed that patients with a persistently high MRD load after the application of three intensive HR blocks were neither curable by chemotherapy alone nor by the addition of stem cell transplantation (very highly resistant leukemia, VHRL,
early identification of VHRL patients and
their subsequent rational treatment based on the exploration of treatment targets.
In practice, we apply different genome-wide screening approaches for a comprehensive molecular characterization. Here, we present data on gene expression profiling of HR patients performed in parallel to the ongoing extensive MRD analysis. All HR-patients with sufficient spare initial diagnostic specimens and at least 80% of blasts in bone marrow or peripheral blood were included. In addition, non-HR patients were profiled for the purpose of comparison. Microarrays containing more than 39,000 distinct cDNA clones (SFGF, Stanford, CA) were used. Data were analyzed using the entire set of genes and separately focusing on genes involved in apoptosis. Several publicly available analysis tools were applied. At the time of analysis, gene expression data of 106 patients with B-precursor immunophenotype and negative for TEL-AML1, MLL-AF4 and BCR-ABL rearrangements were analyzed: 43 Non-HR patients; 28 HR patients with a PPR, but low or absent MRD at TP2 (isolated PPR); 17 patients with a high MRD load at TP2 but good MRD reduction under HR blocks (MRD-HR); and 18 patients with persistently high MRD levels after three HR blocks (VHRL). By unsupervised clustering two cases with an unfavorable E2A-HLF rearrangement were identified. Applying Significance Analysis of Microarrays (
Disclosures: No relevant conflicts of interest to declare.
Author notes
Corresponding author