CREBBP is a Major Prognostic Biomarker for Relapse in Childhood B-cell Acute Lymphoblastic Leukemia: A National Study of Unselected Cohort
Categoria dell'articolo: ORIGINAL ARTICLE
Pubblicato online: 06 mar 2025
Pagine: 5 - 12
DOI: https://doi.org/10.2478/bjmg-2024-0020
Parole chiave
© 2024 Krstevska Bozhinovikj E et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Acute lymphoblastic leukemia (ALL) is the most prevalent form of cancer among children, comprising 25% of all childhood malignancies, with a consistently increasing incidence rate over the years [1, 2]. It arises following the clonal proliferation of immature B and/or T lymphoid cells, with around 80% of the cases being of B lineage origin [3, 4]. The most common initial genetic lesions are chromosomal loss (hypodiploidy), gain (hyperdip-loidy), or fusion genes, leading to a pre-leukemic clone. A subsequent second hit, either a copy number alteration (CNA) or single nucleotide variant (SNV), is believed to be the cause of lymphoid arrest and the development of symptomatic disease [4, 5].
Conventional (karyotyping, fluorescence in situ hybridization - FISH) and molecular (reverse transcription quantitative polymerase chain reaction - qRT-PCR, multiplex ligation-dependent probe amplification - MLPA) techniques are routinely used for the identification of numerical and structural chromosomal abnormalities, allowing for the detection of several disease subtypes with different prognostic and therapeutic associations [3, 5, 6]. Among these, high-hyperdiploidy is the most common subtype in childhood B-ALL (25-30%), which is associated with favorable prognosis [6–8]. The structural chromosomal abnormalities involve genes that regulate hematopoiesis and lymphoid development (
The risk classification at diagnosis of patients with ALL varies among different treatment protocols, but in general this includes the patient’s age, white blood cell (WBC) count, and presence of specific disease subtypes. In general, patients are classified as standard-risk if diagnosed at the age 1-5, presenting a WBC count of < 20 x 10^9/L and the absence of iAMP21,
In this prospective observational national study, we present the clinical variables, identify the most common molecular biomarkers and the individual therapy response (MRD) data, as well as their relation to the clinical status in a cohort of 55 children with B-ALL. Additionally, we conduct a more comprehensive analysis of the patients who experienced disease relapse using whole exome sequencing to detect other alterations that may prove useful in risk stratification and to potentially discover new altered pathways that could be targeted therapeutically.
All patients (a total of 55) included in the study were diagnosed with B-ALL at the University Clinic for Pediatric diseases in Skopje over a period of 6 years (2018-2023). For the molecular clonality analyses, nucleic acids were extracted from bone marrow mononuclear cells using an automated nucleic acid extractor (MagCore Super, RBC Bioscience, New Taipei City). The clonal immunoglobulin (Ig) gene rearrangements were identified using multiplex PCR according to the BIOMED-2 protocol [16]. The dominant rearrangements (from the diagnostic and relapse samples) were subsequently sequenced with the specific family primers using the Sanger sequencing method, and the sequences were analyzed using the IMGT/V-QUEST and IgBLAST tools. The initial clonal rearrangements were also detected using Next-Generation Sequencing (NGS) method with the LymphoTrack Dx IGH-FR3 assay (Invivoscribe Technologies, San Diego, CA, USA) according to the manufacturer’s protocol. These clones were tracked for MRD analysis at two time-points, on day 33 and day 78 from therapy onset, with a sensitivity threshold at 10^(-4) [17].
The most common gene rearrangements, including t(12;21)(p13;q22) ETV6::RUNX1, t(1;19)(q23;p13) TCF3::PBX1, t(9;22)(q34;q11) BCR::ABL1, and t(4;11) (q21;q23) MLL::AFF1 were detected using qRT-PCR according to the BIOMED-1 protocol [18]. Aneuploidy was assessed using the SALSA MLPA P036 and P070 subtelomeric probe-mix kits (MRC-Holland, Amsterdam, the Netherlands) following the manufacturer’s recommended procedures. High-hyperdiploidy or hypodiploidy were defined if >50 or <44 chromosomes were present, respectively. Identification of copy number alterations in specific regions and genes with prognostic significance in B-ALL was performed using the P327, P329, P335, and P038 SALSA MLPA kits, which allowed for the detection of intrachromosomal amplification of chromosome 21 (iAMP21),
Targeted, massively parallel sequencing of exons in >99% of protein-coding genes (Whole Exome Sequencing, WES) was performed in all patients with relapse (samples obtained both at diagnosis and at relapse) and in five additional patients in remission. The reactions were conducted on an Illumina NovaSeq 6000 sequencer, using the Twist Human Core + RefSeq + Mitochondrial Panel kit (Twist Bioscience, San Francisco, CA, USA) with a mean read depth of targeted regions across samples of approximately 100X. Variant annotation, filtering, and classification of the detected variants were done according to ACMG guidelines, utilizing multiple databases and tools (ClinVar, HGMD, dbSNP, ExAC, gnomAD, OMIM, Varsome, Franklin Genoox).
The patients were treated according to the ALL-IC-BFM 2002 protocol, and the median follow-up was 46 months (range: 11-79). Since this was an observational study, the MLPA analyses and the NGS-MRD data were not used for patient stratification or clinical decisions. The study was approved by the Ethics Subcommittee of the Macedonian Academy of Sciences and Arts, and written informed consent was obtained from the patients’ guardians in accordance with the Declaration of Helsinki.
All clinical data of the patients included in the study are summarized in Figure 1. The median age at diagnosis was 4 years (range: 0-11). The white blood cell (WBC) count at diagnosis was higher than 20 x 10^9/L in 34% of the patients, while CNS infiltration was a less frequent event (10%). The percentage of patients with poor prednisolone response (PPR; absolute blast count >1000 in peripheral blood on day 8) was 13%. Following the ALL-IC-BFM 2002 classification [19], 15% of the patients (8/52) were stratified into the high-risk group. One patient (aged <1 year) was enrolled in the Interfant-06 trial, while two patients moved out of the country after diagnosis and were lost for follow-up. The remaining patients received treatment according to the intermediate-risk protocol. NGS-MRD data for two time-points from therapy onset (day 33 and day 78) were available for 43 patients. A positive MRD status (MRD ≥ 1 x 10^(-4)) was detected in 24/43 (56%) and 7/43 (16%) of the patients on days 33 and 78, respectively [17]. During a median follow-up of 46 months, five patients relapsed. All relapses occurred between 17 and 32 months after diagnosis.

Heatmap of the clinical, molecular and treatment response data in a cohort of 55 pediatric patients with B-ALL a white blood cell count; b copy number alterations; c prednisolone good response; d prednisolone poor response; e induction failure
The most common genetics subtype in the study population was high-hyperdiploidy, present in 33% (18/55) of the patients, followed by the ETV6::RUNX1 subtype in 15% (8/55). Four other patients (7%) were identified with the TCF3::PBX1 subtype, and one patient each (1,8%) with the MLL::AFF1, BCR::ABL1 and iAMP21 subtypes. At diagnosis, at least one copy number alteration in the selected genes was detected in 88% (44/50) of the patients, with 75% of them showing more than two alterations (Figure 1). The most common alteration was the duplication of the PAR1 region (
Clinically relevant alterations in the five patients with relapse (No. 4, 10, 32, 35 and 36 from Figure 1), including the findings from the WES analysis, are summarized in Table 1. Among them, two patients were identified with high-hyperdiploidy, one of which had an additional
Clinically relevant alterations in the patients with relapse
Copy number alterations | Single nucleotide variants | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
No.a | Sample type | Aneuploidy/Hybrid transcript | |||||||||
4 | Dg | high-hyperdiploidy | -/- | -/- | -/- | -/- | -/- | - | - | - | + |
Relapse | high-hyperdiploidy | -/- | -/- | -/- | -/- | -/- | + | + | - | - | |
10 | Dg | high-hyperdiploidy | -/- | -/dup | -/- | -/- | -/- | + | - | - | - |
Relapse | high-hyperdiploidy | -/del | -/dup | -/- | -/- | -/- | + | - | - | - | |
32 | Dg | BCR::ABL1 | -/- | -/- | -/delb | -/delb | -/- | - | - | - | - |
Relapse | BCR::ABL1 | -/- | -/- | -/- | -/- | -/- | + | - | + | - | |
35 | Dg | -/- | -/- | -/- | -/- | -/- | +c | + | - | - | |
Relapse | -/- | -/- | -/del | -/- | -/- | +c | - | - | - | ||
36 | Dg | -/del | -/del | -/- | -/- | -/del | - | - | - | - | |
Relapse | -/del | -/del | -/- | -/- | -/del | - | - | - | - |
Patient identification number from Figure 1
Partial deletion
Different amino acid change detected at Dg and relapse
Fragment analysis and Sanger sequencing of the immunoglobulin heavy chain genes in the matched diagnosis and relapse samples revealed the presence of the same clonally rearranged sequences at relapse as those observed at diagnosis in four patients (No. 4, 10, 35 and 36) (Table S2). In two of these patients (No. 10 and 36), one of the clonal rearrangements was lost at relapse. Nevertheless, in these two patients, we observed the same genetic alterations in both the diagnosis and relapse samples, with additional gain of
This study presents data from all pediatric patients diagnosed with B-ALL in our country over a period of six years. All patients were treated according to the ALL-IC-BFM 2002 protocol, which was escalated to high-risk protocol in eight patients. After a median follow-up of 46 months, five patients (9%) experienced disease relapse. In general, the patients with relapse were diagnosed before the age of 6; none presented with CNS infiltration at diagnosis, and the WBC count was slightly higher than 20 x 10^9/L in only one patient. Initial high-risk features (poor prednisolone response and BCR::ABL1 hybrid transcript) were detected in only two of the five patients with relapse. These findings support the need for inclusion of new molecular biomarkers to help identify the high-risk clones at diagnosis and redefine the stratification [6,21].
We identified the presence of alterations in the
We also detected alterations in several other genes with potential prognostic value. These include deletions in
Concerning the evolutionary mechanisms of the clones from diagnosis to relapse, we found that none of the patients with relapse in our cohort experienced expansion of a novel clonal population completely distinct from the population present at diagnosis. Rather, in most of them (4 out of 5), in addition to the same clonal rearrangement and initiating genetic event (CNA, hybrid transcript), we observed novel alterations at relapse that were not detected in the primary clone/s. This either indicates that they were present in minor sub-clones, not detectable with the applied method, survived chemotherapy, and arose as dominant clone/s due to the presence of chemotherapy resistance mutations, or that they were acquired during chemotherapy (treatment-induced) [13, 22]. However, the absence of other alterations in three of these patients suggests that the clonal evolution from an ancestral sub-clone was probably the mechanism for relapse, which has also been described as the most frequent event by others [13, 24, 35]. Only one patient retained all the alterations within the diagnostic and relapse clones, suggesting a linear evolution [35].
The strengths of this study are that it includes an unselected cohort of pediatric patients with B-ALL who were uniformly treated, and that it provides comprehensive data for all patients along with detailed molecular characterization for those with relapse. The limitations of the study include the lack of complete knowledge of the frequency of SNVs at diagnosis in patients without relapse, the insufficient depth of the WES analysis to detect mutations present in minor sub-clones (<10%), and the relatively small patient cohort.
In conclusion, we identified that alterations in the epigenetic regulator