- Publication type
- Meeting Abstract MeSH
Several studies have reported that chronic myeloid leukaemia (CML) patients expressing e14a2 BCR::ABL1 have a faster molecular response to therapy compared to patients expressing e13a2. To explore the reason for this difference we undertook a detailed technical comparison of the commonly used Europe Against Cancer (EAC) BCR::ABL1 reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) assay in European Treatment and Outcome Study (EUTOS) reference laboratories (n = 10). We found the amplification ratio of the e13a2 amplicon was 38% greater than e14a2 (p = 0.015), and the amplification efficiency was 2% greater (P = 0.17). This subtle difference led to measurable transcript-type dependent variation in estimates of residual disease which could be corrected by (i) taking the qPCR amplification efficiency into account, (ii) using alternative RT-qPCR approaches or (iii) droplet digital PCR (ddPCR), a technique which is relatively insensitive to differences in amplification kinetics. In CML patients, higher levels of BCR::ABL1/GUSB were identified at diagnosis for patients expressing e13a2 (n = 67) compared to e14a2 (n = 78) when analysed by RT-qPCR (P = 0.0005) but not ddPCR (P = 0.5). These data indicate that widely used RT-qPCR assays result in subtly different estimates of disease depending on BCR::ABL1 transcript type; these differences are small but may need to be considered for optimal patient management.
- MeSH
- Fusion Proteins, bcr-abl * genetics MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive * diagnosis drug therapy genetics MeSH
- Imatinib Mesylate MeSH
- Real-Time Polymerase Chain Reaction MeSH
- Humans MeSH
- Neoplasm, Residual genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Somatic mutations are a common molecular mechanism through which chronic myeloid leukemia (CML) cells acquire resistance to tyrosine kinase inhibitors (TKIs) therapy. While most of the mutations in the kinase domain of BCR-ABL1 can be successfully managed, the recurrent somatic mutations in other genes may be therapeutically challenging. Despite the major clinical relevance of mutation-associated resistance in CML, the mechanisms underlying mutation acquisition in TKI-treated leukemic cells are not well understood. This work demonstrated de novo acquisition of mutations on isolated single-cell sorted CML clones growing in the presence of imatinib. The acquisition of mutations was associated with the significantly increased expression of the LIG1 and PARP1 genes involved in the error-prone alternative nonhomologous end-joining pathway, leading to genomic instability, and increased expression of the UNG, FEN and POLD3 genes involved in the base-excision repair (long patch) pathway, allowing point mutagenesis. This work showed in vitro and in vivo that de novo acquisition of resistance-associated mutations in oncogenes is the prevalent method of somatic mutation development in CML under TKIs treatment.
- Publication type
- Journal Article MeSH
- MeSH
- Alleles MeSH
- Fusion Proteins, bcr-abl genetics MeSH
- Drug Resistance, Neoplasm genetics MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive drug therapy genetics pathology MeSH
- Protein Kinase Inhibitors pharmacology MeSH
- Humans MeSH
- Mutation * MeSH
- DNA Mutational Analysis methods MeSH
- Polymerase Chain Reaction methods MeSH
- Prognosis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
This work investigated patient-specific genomic BCR-ABL1 fusions as markers of measurable residual disease (MRD) in chronic myeloid leukaemia, with a focus on relevance to treatment-free remission (TFR) after achievement of deep molecular response (DMR) on tyrosine kinase inhibitor (TKI) therapy. DNA and mRNA BCR-ABL1 measurements by qPCR were compared in 2189 samples (129 patients) and by digital PCR in 1279 sample (62 patients). A high correlation was found at levels of disease above MR4, but there was a poor correlation for samples during DMR. A combination of DNA and RNA MRD measurements resulted in a better prediction of molecular relapse-free survival (MRFS) after TKI stop (n = 17) or scheduled interruption (n = 25). At 18 months after treatment cessation, patients with stopped or interrupted TKI therapy who were DNA negative/RNA negative during DMR maintenance (green group) had an MRFS of 80% and 100%, respectively, compared with those who were DNA positive/RNA negative (MRFS = 57% and 67%, respectively; yellow group) or DNA positive/RNA positive (MRFS = 20% for both cohorts; red group). Thus, we propose a "traffic light" stratification as a TFR predictor based on DNA and mRNA BCR-ABL1 measurements during DMR maintenance before TKI cessation.
- MeSH
- Fusion Proteins, bcr-abl genetics MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive drug therapy genetics mortality MeSH
- Adult MeSH
- Remission Induction MeSH
- Protein Kinase Inhibitors therapeutic use MeSH
- Middle Aged MeSH
- Humans MeSH
- RNA, Messenger analysis MeSH
- Withholding Treatment MeSH
- Polymerase Chain Reaction methods MeSH
- Neoplasm, Residual MeSH
- Aged MeSH
- Protein-Tyrosine Kinases antagonists & inhibitors MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- MeSH
- Precursor Cell Lymphoblastic Leukemia-Lymphoma * diagnosis therapy MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive * diagnosis therapy MeSH
- Molecular Diagnostic Techniques MeSH
- Congresses as Topic MeSH
- Humans MeSH
- High-Throughput Nucleotide Sequencing MeSH
- Check Tag
- Humans MeSH
- Publication type
- News MeSH
- Publication type
- Meeting Abstract MeSH
- Publication type
- Meeting Abstract MeSH
The increasing interest in exploring the human genome and identifying genetic risk factors contributing to the susceptibility to and outcome of diseases has supported the rapid development of genome-wide techniques. However, the large amount of obtained data requires extensive bioinformatics analysis. In this work, we established an approach combining amplified fragment length polymorphism (AFLP), AFLP in silico and next generation sequencing (NGS) methods to map the malignant genome of patients with chronic myeloid leukemia. We compared the unique DNA fingerprints of patients generated by the AFLP technique approach with those of healthy donors to identify AFLP markers associated with the disease and/or the response to treatment with imatinib, a tyrosine kinase inhibitor. Among the statistically significant AFLP markers selected for NGS analysis and virtual fingerprinting, we identified the sequences of three fragments in the region of DNA repeat element OldhAT1, LINE L1M7, LTR MER90, and satellite ALR/Alpha among repetitive elements, which may indicate a role of these non-coding repetitive sequences in hematological malignancy. SNPs leading to the presence/absence of these fragments were confirmed by Sanger sequencing. When evaluating the results of AFLP analysis for some fragments, we faced the frequently discussed size homoplasy, resulting in co-migration of non-identical AFLP fragments that may originate from an insertion/deletion, SNP, somatic mutation anywhere in the genome, or combination thereof. The AFLP-AFLP in silico-NGS procedure represents a smart alternative to microarrays and relatively expensive and bioinformatically challenging whole-genome sequencing to detect the association of variable regions of the human genome with diseases.
- MeSH
- Amplified Fragment Length Polymorphism Analysis methods MeSH
- Antineoplastic Agents therapeutic use MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive drug therapy genetics MeSH
- DNA Fingerprinting methods MeSH
- DNA, Neoplasm genetics MeSH
- Adult MeSH
- Genome, Human MeSH
- Imatinib Mesylate therapeutic use MeSH
- Protein Kinase Inhibitors therapeutic use MeSH
- Cohort Studies MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Computer Simulation MeSH
- Repetitive Sequences, Nucleic Acid * MeSH
- Base Sequence MeSH
- Sequence Analysis, DNA methods MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Case-Control Studies MeSH
- Computational Biology methods MeSH
- High-Throughput Nucleotide Sequencing methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The fusion oncoprotein BCR-ABL1 exhibits aberrant tyrosine kinase activity and it has been proposed that it deregulates signaling networks involving both transcription factors and non-coding microRNAs that result in chronic myeloid leukemia (CML). Previously, microRNA expression profiling showed deregulated expression of miR-150 and miR-155 in CML. In this study, we placed these findings into the broader context of the MYC/miR-150/MYB/miR-155/PU.1 oncogenic network. We propose that up-regulated MYC and miR-155 in CD34+ leukemic stem and progenitor cells, in concert with BCR-ABL1, impair the molecular mechanisms of myeloid differentiation associated with low miR-150 and PU.1 levels. We revealed that MYC directly occupied the -11.7 kb and -0.35 kb regulatory regions in the MIR150 gene. MYC occupancy was markedly increased through BCR-ABL1 activity, causing inhibition of MIR150 gene expression in CML CD34+ and CD34- cells. Furthermore, we found an association between reduced miR-150 levels in CML blast cells and their resistance to tyrosine kinase inhibitors (TKIs). Although TKIs successfully disrupted BCR-ABL1 kinase activity in proliferating CML cells, this treatment did not efficiently target quiescent leukemic stem cells. The study presents new evidence regarding the MYC/miR-150/MYB/miR-155/PU.1 leukemic network established by aberrant BCR-ABL1 activity. The key connecting nodes of this network may serve as potential druggable targets to overcome resistance of CML stem and progenitor cells.
- MeSH
- Fusion Proteins, bcr-abl genetics MeSH
- Cell Differentiation drug effects genetics MeSH
- K562 Cells MeSH
- Drug Resistance, Neoplasm drug effects genetics MeSH
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive drug therapy genetics pathology MeSH
- Adult MeSH
- Down-Regulation drug effects MeSH
- Genes, myc genetics MeSH
- HL-60 Cells MeSH
- Protein Kinase Inhibitors pharmacology MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs genetics MeSH
- Cell Line, Tumor MeSH
- Neoplastic Stem Cells drug effects metabolism MeSH
- Cell Proliferation drug effects genetics MeSH
- Gene Expression Regulation, Leukemic drug effects MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH