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Benesova A, De Santis S, Polivkova V, Pecherkova P, Krizkova J, Suchankova P, Monaldi C, Klamova H, Srbova D, Zizkova H, Hochhaus A, Soverini S, Machova Polakova K. Unstable major molecular response as a trigger for next generation sequencing-based BCR::ABL1 mutation testing in chronic myeloid leukemia. Am J Hematol 2024; 99:759-762. [PMID: 38314531 DOI: 10.1002/ajh.27232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/02/2024] [Accepted: 01/08/2024] [Indexed: 02/06/2024]
Affiliation(s)
- Adela Benesova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Sara De Santis
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology/Oncology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
| | - Vaclava Polivkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Pavla Pecherkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Jitka Krizkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Pavla Suchankova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Cecilia Monaldi
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology/Oncology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
| | - Hana Klamova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Dana Srbova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Hana Zizkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Andreas Hochhaus
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, Jena University Hospital, Jena, Germany
| | - Simona Soverini
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology/Oncology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
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2
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Salmon M, White HE, Zizkova H, Gottschalk A, Motlova E, Cerveira N, Colomer D, Coriu D, Franke GN, Gottardi E, Izzo B, Jurcek T, Lion T, Schäfer V, Venturi C, Vigneri P, Zawada M, Zuna J, Hovorkova L, Koblihova J, Klamova H, Markova MS, Srbova D, Benesova A, Polivkova V, Zackova D, Mayer J, Roeder I, Glauche I, Ernst T, Hochhaus A, Polakova KM, Cross NCP. Impact of BCR::ABL1 transcript type on RT-qPCR amplification performance and molecular response to therapy. Leukemia 2022; 36:1879-1886. [PMID: 35676453 PMCID: PMC9252903 DOI: 10.1038/s41375-022-01612-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/16/2022] [Accepted: 05/20/2022] [Indexed: 12/03/2022]
Abstract
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.
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Affiliation(s)
- Matthew Salmon
- Faculty of Medicine, University of Southampton, Southampton, UK.,Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Helen E White
- Faculty of Medicine, University of Southampton, Southampton, UK.,Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK
| | - Hana Zizkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Andrea Gottschalk
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Eliska Motlova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Nuno Cerveira
- Portuguese Oncology Institute of Porto, Porto, Portugal
| | - Dolors Colomer
- Pathology Department, Hospital Clinic, Institut d' Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERONC, Barcelona, Spain
| | - Daniel Coriu
- Fundeni Clinical Institute, Hematology Department, Bucharest, Romania.,Hematology Department, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | - Georg N Franke
- University of Leipzig Medical Center, Department for Hematology, Cellular Therapies and Hemostaseology, Leipzig, Germany
| | - Enrico Gottardi
- Laboratory of Chemical and Clinical Analysis "Area 3" A.O.U San Luigi Gonzaga-Orbassano, Turin, Italy
| | - Barbara Izzo
- Department of Molecular Medicine and Medical Biotechnology University 'Federico II' and CEINGE - Advanced Biotechnologies, Naples, Italy
| | - Tomas Jurcek
- Center of Molecular Biology and Gene Therapy, Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Thomas Lion
- Labdia Labordiagnostik / St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
| | - Vivien Schäfer
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, University of Jena, Jena, Germany
| | - Claudia Venturi
- IRCSS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Paolo Vigneri
- University of Catania, Department of Clinical and Experimental Medicine, Center of Experimental Oncology and Hematology, Catania, Italy
| | | | - Jan Zuna
- CLIP, Dept. of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Lenka Hovorkova
- CLIP, Dept. of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Jitka Koblihova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Hana Klamova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | | | - Dana Srbova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Adela Benesova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Vaclava Polivkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Daniela Zackova
- Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jiri Mayer
- Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ingo Roeder
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany.,National Center for Tumor Diseases (NCT), Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany. Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| | - Ingmar Glauche
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Thomas Ernst
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, University of Jena, Jena, Germany
| | - Andreas Hochhaus
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, University of Jena, Jena, Germany
| | | | - Nicholas C P Cross
- Faculty of Medicine, University of Southampton, Southampton, UK. .,Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK.
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Machova Polakova K, Zizkova H, Zuna J, Motlova E, Hovorkova L, Gottschalk A, Glauche I, Koblihova J, Pecherkova P, Klamova H, Stastna Markova M, Srbova D, Benesova A, Polivkova V, Jurcek T, Zackova D, Mayer J, Ernst T, Mahon FX, Saussele S, Roeder I, Cross NCP, Hochhaus A. Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission. Leukemia 2020; 34:2113-2124. [PMID: 32472084 DOI: 10.1038/s41375-020-0882-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 12/12/2022]
Abstract
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.
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MESH Headings
- Adult
- Aged
- Female
- Fusion Proteins, bcr-abl/genetics
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality
- Male
- Middle Aged
- Neoplasm, Residual
- Polymerase Chain Reaction/methods
- Protein Kinase Inhibitors/therapeutic use
- Protein-Tyrosine Kinases/antagonists & inhibitors
- RNA, Messenger/analysis
- Remission Induction
- Withholding Treatment
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Affiliation(s)
- Katerina Machova Polakova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Hana Zizkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Jan Zuna
- CLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Eliska Motlova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Lenka Hovorkova
- CLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Andrea Gottschalk
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Ingmar Glauche
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Jitka Koblihova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Pavla Pecherkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Hana Klamova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
- Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marketa Stastna Markova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
- Institute of Clinical and Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Dana Srbova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Adela Benesova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Vaclava Polivkova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Tomas Jurcek
- Center of Molecular Biology and Gene Therapy, Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Daniela Zackova
- Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jiri Mayer
- Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Thomas Ernst
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, University of Jena, Jena, Germany
| | - Francois X Mahon
- BERGONIE Institute BORDEAUX, INSERM U1218 University of Bordeaux, Bordeaux, France
| | - Susanne Saussele
- Department of Haematology and Oncology, University Hospital Mannheim, Heidelberg University, Mannheim, Germany
| | - Ingo Roeder
- Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
| | - Nicholas C P Cross
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury and Faculty of Medicine, University of Southampton, Southampton, UK
| | - Andreas Hochhaus
- Abteilung Hämatologie/Onkologie, Klinik für Innere Medizin II, University of Jena, Jena, Germany
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Tibenska V, Benesova A, Vebr P, Liptakova A, Hejnová L, Elsnicová B, Drahota Z, Hornikova D, Galatík F, Kolar D, Vybiral S, Alánová P, Novotný J, Kolar F, Novakova O, Zurmanova JM. Gradual cold acclimation induces cardioprotection without affecting β-adrenergic receptor-mediated adenylyl cyclase signaling. J Appl Physiol (1985) 2020; 128:1023-1032. [DOI: 10.1152/japplphysiol.00511.2019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Novel strategies are needed that can stimulate endogenous signaling pathways to protect the heart from myocardial infarction. The present study tested the hypothesis that appropriate regimen of cold acclimation (CA) may provide a promising approach for improving myocardial resistance to ischemia/reperfusion (I/R) injury without negative side effects. We evaluated myocardial I/R injury, mitochondrial swelling, and β-adrenergic receptor (β-AR)-adenylyl cyclase-mediated signaling. Male Wistar rats were exposed to CA (8°C, 8 h/day for a week, followed by 4 wk at 8°C for 24 h/day), while the recovery group (CAR) was kept at 24°C for an additional 2 wk. The myocardial infarction induced by coronary occlusion for 20 min followed by 3-h reperfusion was reduced from 56% in controls to 30% and 23% after CA and CAR, respectively. In line, the rate of mitochondrial swelling at 200 μM Ca2+ was decreased in both groups. Acute administration of metoprolol decreased infarction in control group and did not affect the CA-elicited cardiprotection. Accordingly, neither β1-AR-Gsα-adenylyl cyclase signaling, stimulated with specific ligands, nor p-PKA/PKA ratios were affected after CA or CAR. Importantly, Western blot and immunofluorescence analyses revealed β2- and β3-AR protein enrichment in membranes in both experimental groups. We conclude that gradual cold acclimation results in a persisting increase of myocardial resistance to I/R injury without hypertension and hypertrophy. The cardioprotective phenotype is associated with unaltered adenylyl cyclase signaling and increased mitochondrial resistance to Ca2+-overload. The potential role of upregulated β2/β3-AR pathways remains to be elucidated. NEW & NOTEWORTHY We present a new model of mild gradual cold acclimation increasing tolerance to myocardial ischemia/reperfusion injury without hypertension and hypertrophy. Cardioprotective phenotype is accompanied by unaltered adenylyl cyclase signaling and increased mitochondrial resistance to Ca2+-overload. The potential role of upregulated β2/β3-adrenoreceptor activation is considered. These findings may stimulate the development of novel preventive and therapeutic strategies against myocardial ischemia/reperfusion injury.
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Affiliation(s)
- V. Tibenska
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - A. Benesova
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - P. Vebr
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - A. Liptakova
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - L. Hejnová
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - B. Elsnicová
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Z. Drahota
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - D. Hornikova
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - F. Galatík
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - D. Kolar
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - S. Vybiral
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - P. Alánová
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - J. Novotný
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - F. Kolar
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - O. Novakova
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
- Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - J. M. Zurmanova
- Department of Physiology, Faculty of Science, Charles University, Prague, Czech Republic
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5
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Linhartova J, Hovorkova L, Soverini S, Benesova A, Jaruskova M, Klamova H, Zuna J, Machova Polakova K. Characterization of 46 patient-specific BCR-ABL1 fusions and detection of SNPs upstream and downstream the breakpoints in chronic myeloid leukemia using next generation sequencing. Mol Cancer 2015; 14:89. [PMID: 25928096 PMCID: PMC4409993 DOI: 10.1186/s12943-015-0363-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 04/08/2015] [Indexed: 11/22/2022] Open
Abstract
In chronic myeloid leukemia, the identification of individual BCR-ABL1 fusions is required for the development of personalized medicine approach for minimal residual disease monitoring at the DNA level. Next generation sequencing (NGS) of amplicons larger than 1000 bp simplified and accelerated a process of characterization of patient-specific BCR-ABL1 genomic fusions. NGS of large regions upstream and downstream the individual breakpoints in BCR and ABL1 genes, respectively, also provided information about the sequence variants such are single nucleotide polymorphisms.
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Affiliation(s)
- Jana Linhartova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
| | - Lenka Hovorkova
- CLIP, Department of Paediatric Haematology and Oncology, 2nd Faculty of Medicine, Charles University Prague and University Hospital Motol, Prague, Czech Republic.
| | - Simona Soverini
- Department of Experimental, Diagnostic and Specialty Medicine, Institute of Hematology "L. e A. Seragnoli", University of Bologna, Bologna, Italy.
| | - Adela Benesova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
| | - Monika Jaruskova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic. .,Institute of Clinical and Experimental Hematology of First Faculty of Medicine and Institute of Hematology and Blood Transfusion, Charles University, Prague, Czech Republic.
| | - Hana Klamova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic. .,Institute of Clinical and Experimental Hematology of First Faculty of Medicine and Institute of Hematology and Blood Transfusion, Charles University, Prague, Czech Republic.
| | - Jan Zuna
- CLIP, Department of Paediatric Haematology and Oncology, 2nd Faculty of Medicine, Charles University Prague and University Hospital Motol, Prague, Czech Republic.
| | - Katerina Machova Polakova
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic. .,Institute of Clinical and Experimental Hematology of First Faculty of Medicine and Institute of Hematology and Blood Transfusion, Charles University, Prague, Czech Republic.
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6
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Machova Polakova K, Kulvait V, Benesova A, Linhartova J, Klamova H, Jaruskova M, de Benedittis C, Haferlach T, Baccarani M, Martinelli G, Stopka T, Ernst T, Hochhaus A, Kohlmann A, Soverini S. Next-generation deep sequencing improves detection of BCR-ABL1 kinase domain mutations emerging under tyrosine kinase inhibitor treatment of chronic myeloid leukemia patients in chronic phase. J Cancer Res Clin Oncol 2014; 141:887-99. [PMID: 25367136 DOI: 10.1007/s00432-014-1845-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 09/26/2014] [Indexed: 01/01/2023]
Abstract
PURPOSE Here, we studied whether amplicon next-generation deep sequencing (NGS) could improve the detection of emerging BCR-ABL1 kinase domain mutations in chronic phase chronic myeloid leukemia (CML) patients under tyrosine kinase inhibitor (TKI) treatment and discussed the clinical relevance of such sensitive mutational detection. METHODS For NGS data evaluation including extraction of biologically relevant low-level variants from background error noise, we established and applied a robust and versatile bioinformatics approach. RESULTS Results from a retrospective longitudinal analysis of 135 samples of 15 CML patients showed that NGS could have revealed emerging resistant mutants 2-11 months earlier than conventional sequencing. Interestingly, in cases who later failed first-line imatinib treatment, NGS revealed that TKI-resistant mutations were already detectable at the time of major or deeper molecular response. Identification of emerging mutations by NGS was mirrored by BCR-ABL1 transcript level expressed either fluctuations around 0.1 %(IS) or by slight transcript level increase. NGS also allowed tracing mutations that emerged during second-line TKI therapy back to the time of switchover. Compound mutants could be detected in three cases, but were not found to outcompete single mutants. CONCLUSIONS This work points out, that next-generation deep sequencing, coupled with a robust bioinformatics approach for mutation calling, may be just in place to ensure reliable detection of emerging BCR-ABL1 mutations, allowing early therapy switch and selection of the most appropriate therapy. Further, prospective assessment of how to best integrate NGS in the molecular monitoring and clinical decision algorithms is warranted.
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