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Branford S, Apperley JF. Measurable residual disease in chronic myeloid leukemia. Haematologica 2022; 107:2794-2809. [PMID: 36453517 PMCID: PMC9713565 DOI: 10.3324/haematol.2022.281493] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
Chronic myeloid leukemia is characterized by a single genetic abnormality resulting in a fusion gene whose mRNA product is easily detected and quantified by reverse-transcriptase polymerase chain reaction analysis. Measuring residual disease was originally introduced to identify patients relapsing after allogeneic stem cell transplantation but rapidly adopted to quantify responses to tyrosine kinase inhibitors. Real-time quantitative polymerase chain reaction is now an essential tool for the management of patients and is used to influence treatment decisions. In this review we track this development including the international collaboration to standardize results, discuss the integration of molecular monitoring with other factors that affect patients' management, and describe emerging technology. Four case histories describe varying scenarios in which the accurate measurement of residual disease identified patients at risk of disease progression and allowed appropriate investigations and timely clinical intervention.
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Affiliation(s)
- Susan Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia,School of Medicine, University of Adelaide, Adelaide, Australia,Clinical and Health Sciences, University of South Australia, Adelaide, Australia,S. Branford
| | - Jane F. Apperley
- Department of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK,Centre for Haematology, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK
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2
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Yang K, Wang F, Zhang H, Wang X, Chen L, Su X, Wu X, Han Q, Chen Z, Chen ZS, Fu L. Target Inhibition of CBP Induced Cell Senescence in BCR-ABL- T315I Mutant Chronic Myeloid Leukemia. Front Oncol 2021; 10:588641. [PMID: 33585207 PMCID: PMC7873979 DOI: 10.3389/fonc.2020.588641] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 11/23/2020] [Indexed: 01/08/2023] Open
Abstract
The treatment of chronic myeloid leukemia (CML) with BCR-ABL tyrosine kinase inhibitors (TKIs), such as imatinib, has yielded clinical success. However, the direct targeting of BCR-ABL does not eradicate CML cells expressing mutant BCR-ABL, especially the T315I mutation in BCR-ABL. Moreover, increasing mutations were identified in BCR-ABL domain, resulting in TKIs resistance recently. It is necessary to find BCR-ABL-independent target for treating CML patients with various mutations, including T315I mutation in BCR-ABL. The dichotomous behavior of CREB binding protein (CBP) and E1A protein (p300), recruited by β-catenin associated with self-renewal and differentiation, have been identified in hematopoietic stem cells, respectively. In this study, CBP was aberrantly expressed in CML cells on the basis of Oncomine dataset. The β-catenin bound with much more CBP than p300 in CML cells. Down-regulation of CBP inhibited cell proliferation capacity and increased the binding of β-catenin to p300, thus promoting cell differentiation and p53-dependent cell senescence in CML cells with either wild type or T315I mutant BCR-ABL in vitro and in vivo models. These demonstrate CBP blockage can be developed for the treatment of CML independent of BCR-ABL mutation status including T315I.
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Affiliation(s)
- Ke Yang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Fang Wang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hong Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiaokun Wang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Likun Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiaodong Su
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xingping Wu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qianqian Han
- Department of Research and Development, Guangzhou Handy Biotechnological Co., Ltd., Guangzhou, China
| | - Zhen Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhe-Sheng Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
| | - Liwu Fu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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3
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Nanomedicines blocking adaptive signals in cancer cells overcome tumor TKI resistance. J Control Release 2020; 321:132-144. [DOI: 10.1016/j.jconrel.2020.02.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 01/20/2020] [Accepted: 02/03/2020] [Indexed: 02/06/2023]
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4
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Schneeweiss-Gleixner M, Byrgazov K, Stefanzl G, Berger D, Eisenwort G, Lucini CB, Herndlhofer S, Preuner S, Obrova K, Pusic P, Witzeneder N, Greiner G, Hoermann G, Sperr WR, Lion T, Deininger M, Valent P, Gleixner KV. CDK4/CDK6 inhibition as a novel strategy to suppress the growth and survival of BCR-ABL1 T315I+ clones in TKI-resistant CML. EBioMedicine 2019; 50:111-121. [PMID: 31761618 PMCID: PMC6921367 DOI: 10.1016/j.ebiom.2019.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 10/28/2019] [Accepted: 11/05/2019] [Indexed: 12/25/2022] Open
Abstract
Purpose Ponatinib is the only approved tyrosine kinase inhibitor (TKI) suppressing BCR-ABL1T315I-mutated cells in chronic myeloid leukemia (CML). However, due to side effects and resistance, BCR-ABL1T315I-mutated CML remains a clinical challenge. Hydroxyurea (HU) has been used for cytoreduction in CML for decades. We found that HU suppresses or even eliminates BCR-ABL1T315I+ sub-clones in heavily pretreated CML patients. Based on this observation, we investigated the effects of HU on TKI-resistant CML cells in vitro. Methods Viability, apoptosis and proliferation of drug-exposed primary CML cells and BCR-ABL1+ cell lines were examined by flow cytometry and 3H-thymidine-uptake. Expression of drug targets was analyzed by qPCR and Western blotting. Findings HU was more effective in inhibiting the proliferation of leukemic cells harboring BCR-ABL1T315I or T315I-including compound-mutations compared to cells expressing wildtype BCR-ABL1. Moreover, HU synergized with ponatinib and ABL001 in inducing growth inhibition in CML cells. Furthermore, HU blocked cell cycle progression in leukemic cells, which was accompanied by decreased expression of CDK4 and CDK6. Palbociclib, a more specific CDK4/CDK6-inhibitor, was also found to suppress proliferation in primary CML cells and to synergize with ponatinib in producing growth inhibition in BCR-ABL1T315I+ cells, suggesting that suppression of CDK4/CDK6 may be a promising concept to overcome BCR-ABL1T315I-associated TKI resistance. Interpretation HU and the CDK4/CDK6-blocker palbociclib inhibit growth of CML clones expressing BCR-ABL1T315I or complex T315I-including compound-mutations. Clinical studies are required to confirm single drug effects and the efficacy of `ponatinib+HU´ and ´ponatinib+palbociclib´ combinations in advanced CML. Funding This project was supported by the Austrian Science Funds (FWF) projects F4701-B20, F4704-B20 and P30625.
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Affiliation(s)
- Mathias Schneeweiss-Gleixner
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | | | - Gabriele Stefanzl
- Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | - Daniela Berger
- Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | - Gregor Eisenwort
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | | | - Susanne Herndlhofer
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | - Sandra Preuner
- Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Klara Obrova
- Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Petra Pusic
- Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Nadine Witzeneder
- Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria; Department of Laboratory Medicine, Medical University of Vienna, Austria
| | - Georg Greiner
- Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria; Department of Laboratory Medicine, Medical University of Vienna, Austria
| | - Gregor Hoermann
- Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria; Department of Laboratory Medicine, Medical University of Vienna, Austria; Central Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Innsbruck, Austria
| | - Wolfgang R Sperr
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria
| | - Thomas Lion
- Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Michael Deininger
- Division of Hematology and Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Peter Valent
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria.
| | - Karoline V Gleixner
- Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Hematology & Oncology, Medical University of Vienna, Austria.
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5
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ABL1 tyrosine kinase domain mutations in chronic myeloid leukemia treatment resistance. Mol Biol Rep 2019; 46:3747-3754. [PMID: 31025148 DOI: 10.1007/s11033-019-04816-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 04/12/2019] [Indexed: 12/15/2022]
Abstract
The development of mutations in the BCR-ABL1 fusion gene transcript causes resistance to tyrosine kinase inhibitors (TKIs) based therapy in chronic myeloid leukemia (CML). Thereby, screening for BCR-ABL1 mutations is advised especially in patients undergoing poor response to treatment. In the current study the authors investigated 43 patients with CML that failed or had suboptimal response to TKIs treatment. Blood samples were collected from patients that were treated with TKIs. The analysis of genetic mutations was performed using a semi-nested PCR assay, followed by Sanger sequencing. The analysis revealed 15 mutations (32.55%): 14 point mutations and an exon 7 deletion. In roughly 30% of cases, mutations in the BCR-ABL1 fusion gene are common causes for treatment resistance.
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6
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Dermit M, Casado P, Rajeeve V, Wilkes EH, Foxler DE, Campbell H, Critchlow S, Sharp TV, Gribben JG, Unwin R, Cutillas PR. Oxidative stress downstream of mTORC1 but not AKT causes a proliferative defect in cancer cells resistant to PI3K inhibition. Oncogene 2016; 36:2762-2774. [PMID: 27991931 PMCID: PMC5362070 DOI: 10.1038/onc.2016.435] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 10/10/2016] [Accepted: 10/10/2016] [Indexed: 12/19/2022]
Abstract
Compounds targeting phosphatidylinositol-3-kinase/mammalian target of rapamycin (PI3K/mTOR) signaling are being investigated in multiple clinical settings, but drug resistance may reduce their benefit. Compound rechallenge after drug holidays can overcome such resistance, yet little is known about the impact of drug holidays on cell biochemistry. We found that PI3K inhibitor (PI3Ki)-resistant cells cultured in the absence of PI3Ki developed a proliferative defect, increased oxygen consumption and accumulated reactive oxygen species (ROS), leading to lactate production through hypoxia-inducible factor-1α. This metabolic imbalance was reversed by mammalian target of rapamycin complex 1 (mTORC1) inhibitors. Interestingly, neither AKT nor c-MYC was involved in mediating the metabolic phenotype, despite the latter contributing to resistant cells' proliferation. These data suggest that an AKT-independent PI3K/mTORC1 axis operates in these cells. The excessive ROS hampered cell division, and the metabolic phenotype made resistant cells more sensitive to hydrogen peroxide and nutrient starvation. Thus, the proliferative defect of PI3Ki-resistant cells during drug holidays is caused by defective metabolic adaptation to chronic PI3K/mTOR pathway inhibition. This metabolic imbalance may open the therapeutic window for challenge with metabolic drugs during drug holidays.
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Affiliation(s)
- M Dermit
- Cell Signalling & Proteomics, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - P Casado
- Cell Signalling & Proteomics, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - V Rajeeve
- Cell Signalling & Proteomics, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - E H Wilkes
- Cell Signalling & Proteomics, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - D E Foxler
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - H Campbell
- AstraZeneca, Oncology iMED, Cheshire, UK
| | | | - T V Sharp
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - J G Gribben
- Cancer Immunology Group, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - R Unwin
- UCL Centre for Nephrology, Royal Free Campus and Hospital, University College London, London, UK
| | - P R Cutillas
- Cell Signalling & Proteomics, Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK
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7
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Fu S, Hu Y, Fu Y, Chen F, Liu X, Zhang M, Wang X, Tu S, Zhang J. Novel BCR-ABL1 fusion and leukemic mutations of SETBP1, PAX5, and TP53 detected by next generation sequencing in chronic myeloid leukemia. Cancer Biol Ther 2016; 17:1003-1009. [PMID: 27611742 DOI: 10.1080/15384047.2016.1219821] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Patients with BCR-ABL1 fusion genes are potential candidates for targeted therapy with tyrosine kinase inhibitor (TKI) imatinib. However, novel BCR-ABL1 fusion variants can be undetected by qRT-PCR-based routine molecular screening, affecting immediate patient management and proper treatment selection. In this study, we describe a case of chronic myeloid leukemia (CML) harboring a novel BCR-ABL1 variant gene. Although Fluorescent In situ Hybridization (FISH) analysis suggested Philadelphia (Ph) translocation, qRT-PCR screening failed to detect the presence of a functional fusion transcript, which is critical for selecting targeted therapy against BCR-ABL1 fusion with aberrant kinase activity. Meanwhile, G-band cytogenetic analysis was performed twice without a solid conclusion. To overcome the uncertainty whether TKIs should be used to treat this patient effectively, we performed whole genome sequencing (WGS) in a next-generation sequencing (NGS) platform and discovered an unusual e13a2-like BCR-ABL1 fusion with 9 ABL1 intron 1 nucleotides incorporated into the broken BCR exon 13 to form a novel chimeric exon, which has never been described previously based on the best of our knowledge. Based on FISH and NGS results, the patient was treated with imatinib, showing significant improvement. Moreover, we also detected novel genetic mutations in the known leukemic genes SETBP1, PAX5, and TP53, while their role in the leukemogenesis remains to be determined. In summary, we have identified BCR-ABL1 fusion and other genetic mutations in a diagnostically difficult case of CML, demonstrating that NGS is a powerful diagnostic tool when routine procedures are challenged.
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Affiliation(s)
- Shuang Fu
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Yanping Hu
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Yu Fu
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Fang Chen
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Xuan Liu
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Minyu Zhang
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Xiaohui Wang
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
| | - Shichun Tu
- b Shanghai Yuanqi Bio-pharmaceutical Company Ltd , Shanghai , China
| | - Jihong Zhang
- a Hematology Laboratory , Shengjing Hospital of China Medical University , Shenyang, Liaoning , China
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8
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Soverini S, de Benedittis C, Mancini M, Martinelli G. Mutations in the BCR-ABL1 Kinase Domain and Elsewhere in Chronic Myeloid Leukemia. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2016; 15 Suppl:S120-8. [PMID: 26297264 DOI: 10.1016/j.clml.2015.02.035] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2014] [Revised: 01/14/2015] [Accepted: 02/26/2015] [Indexed: 12/21/2022]
Abstract
Chronic myeloid leukemia (CML) has been the first human malignancy to be associated, more than 50 years ago, with a consistent chromosomal abnormality--the t(9;22)(q34;q11) chromosomal translocation. The resulting BCR-ABL1 fusion gene, encoding a tyrosine kinase with deregulated activity, has a central role in the pathogenesis of CML. Ancestral or additional genetic events necessary for CML to develop have long been hypothesized but never really demonstrated. CML can successfully be treated with tyrosine kinase inhibitors (TKIs). Mutations in the BCR-ABL1 kinase domain might arise, however, that confer resistance to 1 or more of the currently available TKIs. Hence, the critical role of BCR-ABL1 mutation screening for optimal therapeutic management, with the current gold standard technique, conventional sequencing, likely to be replaced soon by ultra-deep sequencing. Mutations in genes other than BCR-ABL1 include ASXL1, TET2, RUNX1, DNMT3A, EZH2, and TP53 in chronic phase patients and RUNX1, ASXL1, IKZF1, WT1, TET2, NPM1, IDH1, IDH2, NRAS, KRAS, CBL, TP53, CDKN2A, RB1, and GATA-2 mutations in advanced phase patients. The latter also display additional cytogenetic abnormalities, including submicroscopic regions of gain or loss that only single nucleotide polymorphism arrays or array comparative genomic hybridization can detect. Whether whole genome/exome sequencing studies will uncover novel mutations relevant for pathogenesis, progression, and risk-adapted therapy is still unclear.
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Affiliation(s)
- Simona Soverini
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology "L. e A. Seràgnoli," University of Bologna, Bologna, Italy.
| | - Caterina de Benedittis
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology "L. e A. Seràgnoli," University of Bologna, Bologna, Italy
| | - Manuela Mancini
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology "L. e A. Seràgnoli," University of Bologna, Bologna, Italy
| | - Giovanni Martinelli
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology "L. e A. Seràgnoli," University of Bologna, Bologna, Italy
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9
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Ikonnikova AY, Yatsenko YE, Kremenetskaya OS, Vinogradova OV, Fesenko DO, Abramov IS, Ovsepyan VA, Nasedkina TV. Detection of BCR-ABL gene mutations in chronic myeloid leukemia using biochips. Mol Biol 2016. [DOI: 10.1134/s0026893316020084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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Preuner S, Barna A, Frommlet F, Czurda S, Konstantin B, Alikian M, Machova Polakova K, Sacha T, Richter J, Lion T, Gabriel C. Quantitative Analysis of Mutant Subclones in Chronic Myeloid Leukemia: Comparison of Different Methodological Approaches. Int J Mol Sci 2016; 17:ijms17050642. [PMID: 27136541 PMCID: PMC4881468 DOI: 10.3390/ijms17050642] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 04/20/2016] [Accepted: 04/25/2016] [Indexed: 12/17/2022] Open
Abstract
Identification and quantitative monitoring of mutant BCR-ABL1 subclones displaying resistance to tyrosine kinase inhibitors (TKIs) have become important tasks in patients with Ph-positive leukemias. Different technologies have been established for patient screening. Various next-generation sequencing (NGS) platforms facilitating sensitive detection and quantitative monitoring of mutations in the ABL1-kinase domain (KD) have been introduced recently, and are expected to become the preferred technology in the future. However, broad clinical implementation of NGS methods has been hampered by the limited accessibility at different centers and the current costs of analysis which may not be regarded as readily affordable for routine diagnostic monitoring. It is therefore of interest to determine whether NGS platforms can be adequately substituted by other methodological approaches. We have tested three different techniques including pyrosequencing, LD (ligation-dependent)-PCR and NGS in a series of peripheral blood specimens from chronic myeloid leukemia (CML) patients carrying single or multiple mutations in the BCR-ABL1 KD. The proliferation kinetics of mutant subclones in serial specimens obtained during the course of TKI-treatment revealed similar profiles via all technical approaches, but individual specimens showed statistically significant differences between NGS and the other methods tested. The observations indicate that different approaches to detection and quantification of mutant subclones may be applicable for the monitoring of clonal kinetics, but careful calibration of each method is required for accurate size assessment of mutant subclones at individual time points.
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Affiliation(s)
- Sandra Preuner
- Children's Cancer Research Institute (CCRI), Zimmermannplatz 10, A-1090 Vienna, Austria.
| | - Agnes Barna
- Red Cross Transfusion Service for Upper Austria, A-4017 Linz, Austria.
| | - Florian Frommlet
- Department for Medical Statistics, Medical University of Vienna, A-1090 Vienna, Austria.
| | - Stefan Czurda
- Children's Cancer Research Institute (CCRI), Zimmermannplatz 10, A-1090 Vienna, Austria.
| | - Byrgazov Konstantin
- Children's Cancer Research Institute (CCRI), Zimmermannplatz 10, A-1090 Vienna, Austria.
| | - Mary Alikian
- Imperial Molecular Pathology Laboratory, Hammersmith Hospital, Imperial College Healthcare National Health Service (NHS) Trust, London W12 0HS, UK.
| | | | - Tomasz Sacha
- Hematology Department, Jagiellonian University, 31-501 Krakow, Poland.
| | - Johan Richter
- Section for Hematology, Department of Medicine, University Hospital of Lund, 221 00 Lund, Sweden.
| | - Thomas Lion
- Children's Cancer Research Institute (CCRI), Zimmermannplatz 10, A-1090 Vienna, Austria.
- Department of Pediatrics, Medical University Vienna, A-1090 Vienna, Austria.
| | - Christian Gabriel
- Red Cross Transfusion Service for Upper Austria, A-4017 Linz, Austria.
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11
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The impact of multiple low-level BCR-ABL1 mutations on response to ponatinib. Blood 2016; 127:1870-80. [PMID: 26773037 DOI: 10.1182/blood-2015-09-666214] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 01/05/2016] [Indexed: 12/25/2022] Open
Abstract
The third-generation tyrosine kinase inhibitor (TKI) ponatinib shows activity against all common BCR-ABL1 single mutants, including the highly resistant BCR-ABL1-T315I mutant, improving outcome for patients with refractory chronic myeloid leukemia (CML). However, responses are variable, and causal baseline factors have not been well-studied. The type and number of low-level BCR-ABL1 mutations present after imatinib resistance has prognostic significance for subsequent treatment with nilotinib or dasatinib as second-line therapy. We therefore investigated the impact of low-level mutations detected by sensitive mass-spectrometry before ponatinib initiation (baseline) on treatment response in 363 TKI-resistant patients enrolled in the PONATINIB for Chronic Myeloid Leukemia Evaluation and Ph(+)Acute Lymphoblastic Leukemia trial, including 231 patients in chronic phase (CP-CML). Low-level mutations were detected in 53 patients (15%, including low-level T315I in 14 patients); most, however, did not undergo clonal expansion during ponatinib treatment and, moreover, no specific individual mutations were associated with inferior outcome. We demonstrate however, that the number of mutations detectable by mass spectrometry after TKI resistance is associated with response to ponatinib treatment and could be used to refine the therapeutic approach. Although CP-CML patients with T315I (63/231, 27%) had superior responses overall, those with multiple mutations detectable by mass spectrometry (20, 32%) had substantially inferior responses compared with those with T315I as the sole mutation detected (43, 68%). In contrast, for CP-CML patients without T315I, the inferior responses previously observed with nilotinib/dasatinib therapy for imatinib-resistant patients with multiple mutations were not seen with ponatinib treatment, suggesting that ponatinib may prove to be particularly advantageous for patients with multiple mutations detectable by mass spectrometry after TKI resistance.
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12
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Compound mutations in BCR-ABL1 are not major drivers of primary or secondary resistance to ponatinib in CP-CML patients. Blood 2015; 127:703-12. [PMID: 26603839 DOI: 10.1182/blood-2015-08-660977] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Accepted: 11/10/2015] [Indexed: 12/14/2022] Open
Abstract
BCR-ABL1 kinase domain mutations can confer resistance to first- and second-generation tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML). In preclinical studies, clinically achievable concentrations of the third-generation BCR-ABL1 TKI ponatinib inhibit T315I and all other single BCR-ABL1 mutants except T315M, which generates a single amino acid exchange, but requires 2 sequential nucleotide exchanges. In addition, certain compound mutants (containing ≥2 mutations in cis) confer resistance. Initial analyses based largely on conventional Sanger sequencing (SS) have suggested that the preclinical relationship between BCR-ABL1 mutation status and ponatinib efficacy is generally recapitulated in patients receiving therapy. Thus far, however, such analyses have been limited by the inability of SS to definitively identify compound mutations or mutations representing less than ~20% of total alleles (referred to as "low-level mutations"), as well as limited patient follow-up. Here we used next-generation sequencing (NGS) to define the baseline BCR-ABL1 mutation status of 267 heavily pretreated chronic phase (CP)-CML patients from the PACE trial, and used SS to identify clonally dominant mutants that may have developed on ponatinib therapy (30.1 months median follow-up). Durable cytogenetic and molecular responses were observed irrespective of baseline mutation status and included patients with compound mutations. No single or compound mutation was identified that consistently conferred primary and/or secondary resistance to ponatinib in CP-CML patients. Ponatinib is effective in CP-CML irrespective of baseline mutation status.
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Rejali L, Poopak B, Hasanzad M, Sheikhsofla F, Varnoosfaderani AS, Safari N, Rabieipoor S. Characterizing of Four Common BCR-ABL Kinase Domain Mutations (T315I, Y253H, M351T and E255K) in Iranian Chronic Myelogenous Leukemia Patients With Imatinib Resistance. IRANIAN JOURNAL OF CANCER PREVENTION 2015; 8:e2334. [PMID: 26413254 PMCID: PMC4581365 DOI: 10.17795/ijcp2334] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Revised: 02/01/2015] [Accepted: 03/10/2015] [Indexed: 11/25/2022]
Abstract
Background: Chronic myelogenous leukemia (CML) is a kind of hematopoietic stem-cell cancer. A significant number of CML patients who do not achieve an acceptable response to therapy, show acquired resistance against Imatinib. One of the most considerable causes of resistance against Imatinib as the first line of therapy, are BCR-ABL kinase domain mutations. Objectives: One of the most considerable causes of resistance against Imatinib as the first line of therapy, are BCR-ABL kinase domain mutations. Patients and Methods: The study was performed on 39 CML patients with Imatinib resistance. Basic hematologic parameters in blood samples were checked to identify hematologic response. To identify molecular response, BCR-ABL/ABL ratio was assessed by Real-time PCR. The ABL kinase domain amplification was performed by PCR. Restriction fragment length polymorphism (RFLP) was performed to detect four common mutations (T315I, Y253H, E255K and M351T). Finally the results were approved by direct sequencing. Results: In this study, the Y253H mutation, detected by RFLP method and confirmed by direct sequencing, was the prevalent ABL kinase domain mutation in these 39 CML patients. The G250E, V379I and L384M mutations were found in three different cases with failure molecular response. CML patients with these four ABL kinase domain mutations cannot achieve major molecular response (MMR). In addition, complete hematologic response (CHR) was observed only in the V379I mutated case and not in other mutated patients. Conclusions: Identification of ABL kinase domain mutations may be used as a proper and useful method for improving therapeutic strategies, avoiding delay in treatment and excessive expenditure in CML patients with Imatinib resistance.
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Affiliation(s)
- Leili Rejali
- MSc in Molecular Genetics, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, IR Iran
| | - Behzad Poopak
- DCLS, PhD in Hematology, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, IR Iran
| | - Mandana Hasanzad
- PhD in Molecular Genetics, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, IR Iran
| | - Fatemeh Sheikhsofla
- MSc in Cell and Molecular Biology, Payvand Clinical and Specialty Laboratory, Tehran, IR Iran
| | | | - Nazila Safari
- MSc in Molecular Oncology, Payvand Clinical and Specialty,Tehran, IR Iran
| | - Saghar Rabieipoor
- MSc in Biotechnology, Payvand Clinical and Specialty Laboratory,Tehran, IR Iran
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Balabanov S, Braig M, Brümmendorf TH. Current aspects in resistance against tyrosine kinase inhibitors in chronic myelogenous leukemia. DRUG DISCOVERY TODAY. TECHNOLOGIES 2015; 11:89-99. [PMID: 24847658 DOI: 10.1016/j.ddtec.2014.03.003] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Resistance against tyrosine kinase inhibitors (TKIs) represents a relevant clinical problem in treatment of chronic myelogenous leukemia (CML). On the basis of their activity against the spectrum of BCR-ABL mutations that have shown to be the most prominent mechanism of resistance to imatinib, new TKIs have been classified as second generation (such as nilotinib, dasatinib and bosutinib) or third generation (also cover- ing T315I such as ponatinib) TKIs. However, mutations in BCR-ABL only account for about half of the cases of treatment failure under TKI and other mechanisms either rendering the leukemic cells still dependent of BCR-ABL activity or supporting oncogenic properties of the leukemic cells independent of BCR-ABL signaling have been identified. A detailed understanding of the different underlying resistance mechanisms will be the prerequisite to eventually overcome clinical resistance and for the successful use of tailored combinations of targeted inhibitors in the future.
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15
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Yang K, Fu LW. Mechanisms of resistance to BCR-ABL TKIs and the therapeutic strategies: A review. Crit Rev Oncol Hematol 2014; 93:277-92. [PMID: 25500000 DOI: 10.1016/j.critrevonc.2014.11.001] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Revised: 08/30/2014] [Accepted: 11/03/2014] [Indexed: 12/12/2022] Open
Abstract
BCR-ABL caused by the translocation of t(9,22) with elevated tyrosine-kinase activity could induce leukemia in mice, which established BCR-ABL as the molecular pathogenic event in CML (Chronic myeloid leukemia). In recent years, a variety of tyrosine kinase inhibitors (TKIs) targeting at BCR-ABL specifically and effectively have been developed, which has fundamentally promoted the treatment of CML. However, the efficacy of TKIs was limited by its resistance induced by the development of kinase domain mutations and other mechanisms illustrated. In this review, we summarized BCR-ABL inhibitors approved by Food and Drug Administration (FAD), with the same concerns focus on the resistant mechanisms of BCR-ABL inhibitors and therapeutic resistant strategies.
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Affiliation(s)
- Ke Yang
- Sun Yat-sen University Cancer center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Li-wu Fu
- Sun Yat-sen University Cancer center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
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16
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Egan DN, Beppu L, Radich JP. Patients with Philadelphia-positive leukemia with BCR-ABL kinase mutations before allogeneic transplantation predominantly relapse with the same mutation. Biol Blood Marrow Transplant 2014; 21:184-9. [PMID: 25300870 DOI: 10.1016/j.bbmt.2014.09.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 09/10/2014] [Indexed: 10/24/2022]
Abstract
Despite the successes of tyrosine kinase inhibitors (TKIs) in improving outcomes in patients with chronic myeloid leukemia (CML) and Philadelphia-positive acute lymphoblastic leukemia (Ph + ALL), allogeneic hematopoietic stem cell transplantation (HSCT) continues to be an important and potentially curative option for selected patients with either disease. After HSCT, TKIs are increasingly being used to treat or prevent disease relapse, and practice patterns suggest that these TKIs are often chosen empirically without regard to pre-HSCT mutation status. We investigated whether ABL kinase domain mutations persist after transplantation and, thus, whether pre-HSCT mutation status should inform the selection of post-HSCT TKIs in these patients. We retrospectively analyzed adults who underwent allogeneic HSCT for CML and Ph + ALL at our institution between 2000 and 2010, and we identified subjects who had detectable BCR-ABL transcripts by polymerase chain reaction (PCR), as well as available RNA for Sanger sequencing of the ABL kinase domain, in both the pre- and post-HSCT settings. In total, 95 CML and 20 Ph + ALL patients with positive PCR transcripts were identified, of which 10 (10.5%) and 4 (20.0%), respectively, were found to have pre-HSCT ABL kinase mutations known to confer TKI resistance. In 9 (64.2%) of these 14 patients, the same kinase mutation was also detectable at an average time of 191 days after HSCT. Seven (50.0%) of the 14 harboring mutations had relapsed/refractory disease by last follow-up, of which, in retrospect, 6 had received a predictably ineffective TKI within the first 100 days after transplantation based on our mutation analysis. These data support the idea that pre-existing mutations in the ABL kinase domain, frequently associated with resistance to TKIs and prevalent in a transplantation population, are persistently detectable in the majority of patients after transplantation. We propose that such resistance patterns should be considered when selecting TKIs in the post-HSCT setting, including clinical trials of post-HSCT TKI prophylaxis.
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Affiliation(s)
- Daniel N Egan
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, Washington.
| | - Lan Beppu
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, Washington
| | - Jerald P Radich
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, Washington
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17
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Hehlmann R, Müller MC, Lauseker M, Hanfstein B, Fabarius A, Schreiber A, Proetel U, Pletsch N, Pfirrmann M, Haferlach C, Schnittger S, Einsele H, Dengler J, Falge C, Kanz L, Neubauer A, Kneba M, Stegelmann F, Pfreundschuh M, Waller CF, Spiekermann K, Baerlocher GM, Ehninger G, Heim D, Heimpel H, Nerl C, Krause SW, Hossfeld DK, Kolb HJ, Hasford J, Saußele S, Hochhaus A. Deep Molecular Response Is Reached by the Majority of Patients Treated With Imatinib, Predicts Survival, and Is Achieved More Quickly by Optimized High-Dose Imatinib: Results From the Randomized CML-Study IV. J Clin Oncol 2014; 32:415-23. [DOI: 10.1200/jco.2013.49.9020] [Citation(s) in RCA: 246] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose Deep molecular response (MR4.5) defines a subgroup of patients with chronic myeloid leukemia (CML) who may stay in unmaintained remission after treatment discontinuation. It is unclear how many patients achieve MR4.5 under different treatment modalities and whether MR4.5 predicts survival. Patients and Methods Patients from the randomized CML-Study IV were analyzed for confirmed MR4.5 which was defined as ≥ 4.5 log reduction of BCR-ABL on the international scale (IS) and determined by reverse transcriptase polymerase chain reaction in two consecutive analyses. Landmark analyses were performed to assess the impact of MR4.5 on survival. Results Of 1,551 randomly assigned patients, 1,524 were assessable. After a median observation time of 67.5 months, 5-year overall survival (OS) was 90%, 5-year progression-free-survival was 87.5%, and 8-year OS was 86%. The cumulative incidence of MR4.5 after 9 years was 70% (median, 4.9 years); confirmed MR4.5 was 54%. MR4.5 was reached more quickly with optimized high-dose imatinib than with imatinib 400 mg/day (P = .016). Independent of treatment approach, confirmed MR4.5 at 4 years predicted significantly higher survival probabilities than 0.1% to 1% IS, which corresponds to complete cytogenetic remission (8-year OS, 92% v 83%; P = .047). High-dose imatinib and early major molecular remission predicted MR4.5. No patient with confirmed MR4.5 has experienced progression. Conclusion MR4.5 is a new molecular predictor of long-term outcome, is reached by a majority of patients treated with imatinib, and is achieved more quickly with optimized high-dose imatinib, which may provide an improved therapeutic basis for treatment discontinuation in CML.
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Affiliation(s)
- Rüdiger Hehlmann
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Martin C. Müller
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Michael Lauseker
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Benjamin Hanfstein
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Alice Fabarius
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Annette Schreiber
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Ulrike Proetel
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Nadine Pletsch
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Markus Pfirrmann
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Claudia Haferlach
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Susanne Schnittger
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Hermann Einsele
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Jolanta Dengler
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Christiane Falge
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Lothar Kanz
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Andreas Neubauer
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Michael Kneba
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Frank Stegelmann
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Michael Pfreundschuh
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Cornelius F. Waller
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Karsten Spiekermann
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Gabriela M. Baerlocher
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Gerhard Ehninger
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Dominik Heim
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Hermann Heimpel
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Christoph Nerl
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Stefan W. Krause
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Dieter K. Hossfeld
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Hans-Jochem Kolb
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Joerg Hasford
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Susanne Saußele
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
| | - Andreas Hochhaus
- Rüdiger Hehlmann, Martin C. Müller, Benjamin Hanfstein, Alice Fabarius, Annette Schreiber, Ulrike Proetel, Nadine Pletsch, Susanne Saußele, Universitätsmedizin Mannheim Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim; Jolanta Dengler Universitätsklinikum Heidelberg, Heidelberg; Michael Lauseker, Markus Pfirrmann, Joerg Hasford, Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Ludwig-Maximilians-Universität; Christoph Nerl, Städtisches Klinikum
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18
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Jurcek T, Razga F, Mazancova P, Musilova M, Dvorakova D, Borsky M, Zackova D, Dobesova B, Semerad L, Mayer J, Racil Z. Prospective analysis of low-level BCR-ABL1 T315I mutation in CD34 + cells of patients with de novo chronic myeloid leukemia. Leuk Lymphoma 2013; 55:1915-7. [PMID: 24304421 DOI: 10.3109/10428194.2013.842988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Tomas Jurcek
- Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University Brno , Czech Republic
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19
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Das Thakur M, Stuart DD. The evolution of melanoma resistance reveals therapeutic opportunities. Cancer Res 2013; 73:6106-10. [PMID: 24097822 DOI: 10.1158/0008-5472.can-13-1633] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The RAS-RAF-MEK-ERK pathway is a key driver of proliferation and survival signals in tumor cells and has been the focus of intense drug development efforts over the past 20 years. The recent regulatory approval of RAF inhibitors and a MAP-ERK kinase (MEK) inhibitor for metastatic melanoma provides clinical validation of tumor dependency on this pathway. Unfortunately, the therapeutic benefit of these agents is often short lived and resistance develops within a matter of months. Preclinical models of resistance to vemurafenib have provided critical insights into predicting, validating, and characterizing potential mechanisms. A key observation has been that vemurafenib-resistant tumor cells suffer a fitness deficit in the absence of drug treatment and this led to the predication that modulating the selective pressure of drug treatment through intermittent dosing could delay or prevent the emergence of resistant tumors. Most importantly, the preclinical data are supported by observations in vemurafenib-treated patients with melanoma providing a strong rationale for clinical testing of alternative dosing regimens.
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Affiliation(s)
- Meghna Das Thakur
- Authors' Affiliation: Novartis Institutes for Biomedical Research, Emeryville, California
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20
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21
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Bitencourt R, Zalcberg I, Louro ID. Imatinib resistance: a review of alternative inhibitors in chronic myeloid leukemia. Rev Bras Hematol Hemoter 2013; 33:470-5. [PMID: 23049365 PMCID: PMC3459369 DOI: 10.5581/1516-8484.20110124] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2011] [Accepted: 10/21/2011] [Indexed: 12/15/2022] Open
Abstract
The development of point mutations in the BCR-ABL kinase domain is the main reason for imatinib resistance in chronic myeloid leukemia. Different detection methods are used in chronic myeloid leukemia monitoring, such as direct sequencing, denaturing high performance liquid chromatography and allele specific polymerase chain reaction. Mutation analysis has become mandatory during patient workup of chronic myeloid leukemia in order for the physician to choose the most suitable tyrosine kinase inhibitor. This article, a review of possible therapies used to overcome imatinib resistance, investigates the current position by searching the PubMed electronic database using the following keywords: imatinib, dasatinib, nilotinib, aurora kinase, SRC kinase, mutation, treatment, drugs and resistance. New tyrosine kinase inhibitors include BCR-ABL kinase selective inhibitors, dual ABL/SRC kinase inhibitors and aurora kinase inhibitors. Awareness of the spectrum of new drugs against mutations, in particular the T315I mutation, makes it possible to properly select the best therapy for each patient.
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Affiliation(s)
- Roberta Bitencourt
- Master Program in Biotechnology, Universidade Federal do Espírito Santo - UFES, Vitória, ES, Brazil
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22
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Parker WT, Yeoman AL, Jamison BA, Yeung DT, Scott HS, Hughes TP, Branford S. BCR-ABL1 kinase domain mutations may persist at very low levels for many years and lead to subsequent TKI resistance. Br J Cancer 2013; 109:1593-8. [PMID: 23799845 PMCID: PMC3776970 DOI: 10.1038/bjc.2013.318] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2013] [Revised: 05/31/2013] [Accepted: 06/04/2013] [Indexed: 12/14/2022] Open
Abstract
Background: BCR-ABL1 mutation analysis is recommended for chronic myeloid leukaemia patients. However, mutations may become undetectable after changing therapy, and it is unknown whether they have been eradicated. Methods: We examined longitudinal data of patients with imatinib-resistant mutations, which became undetectable by Sanger sequencing to determine whether mutations could reappear, and the related circumstances. Results: Identical imatinib- and nilotinib-resistant mutations reappeared following further therapy changes in five patients, and was associated with subsequent nilotinib resistance in four. Conclusion: The data suggest that some BCR-ABL1 mutations may persist at undetectable levels for many years after changing therapy, and can be reselected and confer resistance to subsequent inhibitors.
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Affiliation(s)
- W T Parker
- Department of Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
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23
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Nicolini FE, Ibrahim AR, Soverini S, Martinelli G, Müller MC, Hochhaus A, Dufva IH, Kim DW, Cortes J, Mauro MJ, Chuah C, Labussière H, Morisset S, Roche-Lestienne C, Lippert E, Hayette S, Peter S, Zhou W, Maguer-Satta V, Michallet M, Goldman J, Apperley JF, Mahon FX, Marin D, Etienne G. The BCR-ABLT315I mutation compromises survival in chronic phase chronic myelogenous leukemia patients resistant to tyrosine kinase inhibitors, in a matched pair analysis. Haematologica 2013; 98:1510-6. [PMID: 23716543 DOI: 10.3324/haematol.2012.080234] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
The BCR-ABL T315I mutation confers resistance to currently licensed tyrosine kinase inhibitors in chronic myelogenous leukemia. However, the impact of this mutation on survival in early stages of disease, in chronic phase, has never been detailed. Using matched pair analysis, a cohort of 64 patients with chronic phase chronic myelogenous leukemia harboring a T315I mutation and resistant to imatinib mesylate was compared to a similar cohort of 53 chronic phase patients resistant to imatinib, but with no detectable T315I mutation, in the pre-ponatinib era. These patients were matched according to age at diagnosis, interval between disease diagnosis and start of imatinib treatment, and duration of imatinib therapy. Kaplan-Meier survival analyses demonstrated the significant negative impact of the presence of the T315I mutation on overall survival (since imatinib-resistance: 48.4 months for T315I(+) patients versus not reached for T315I(-) ones; P=0.006) and failure-free survival (since imatinib-resistance: 34.7 months for T315I(+) patients versus not reached for T315I(-) patients; P=0.003). In addition, Cox proportional hazard models adjusted on overall survival demonstrated the negative influence of the T315I mutation (P=0.02, HR=2.54). These results confirm early assumptions concerning the poor prognosis of chronic phase chronic myelogenous leukemia patients with the T315I mutation who are not eligible for allogeneic transplantation, and demonstrate the need for more therapeutic options.
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24
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Eyal E, Tohami T, Amir A, Cesarkas K, Jacob-Hirsch J, Volchek Y, Nagler A, Rechavi G, Amariglio N. Detection ofBCR-ABL1mutations in chronic myeloid leukaemia by massive parallel sequencing. Br J Haematol 2012; 160:477-86. [DOI: 10.1111/bjh.12171] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2012] [Accepted: 10/29/2012] [Indexed: 11/29/2022]
Affiliation(s)
- Eran Eyal
- Cancer Research Centre; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
| | - Tali Tohami
- Division of Haematology; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
| | - Amnon Amir
- Cancer Research Centre; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
| | - Karen Cesarkas
- Cancer Research Centre; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
| | | | - Yuliya Volchek
- Division of Haematology; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
| | | | | | - Ninette Amariglio
- Division of Haematology; Chaim Sheba Medical Centre; Tel-Hashomer; Israel
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Abstract
Abstract
Monitoring response to therapy for patients with chronic myeloid leukemia using an effective strategy is fundamental for achieving optimal patient outcomes. It will allow the initiation of timely therapeutic intervention for patients with a suboptimal response or kinase inhibitor therapy failure. Evidence is mounting that reaching molecular targets early in therapy is as important as the initial hematologic and cytogenetic response for the identification of patients who may have a poorer outcome. When the molecular target of a major molecular response is achieved at 18 months, patients reach a safe haven where loss of response is rare. However, this benefit is dependent on continuous drug adherence in most patients. As some patients reach their second decade of successful imatinib therapy, how long will frequent response monitoring be necessary? Assuming that very late relapse will be extremely rare for responding patients remaining on kinase inhibitor therapy, there are reasons for maintaining a regular molecular monitoring frequency, including monitoring adherence assessment and confirming sustained undetectable BCR-ABL1 for those considering a discontinuation trial and for late molecular recurrence in patients who maintain response after treatment discontinuation.
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26
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Ferri C, Bianchini M, Icardi G, Belli C, Bengió R, Larripa I. Early detection and quantification of mutations in the tyrosine kinase domain of chimerical BCR-ABL1 gene combining high-resolution melting analysis and mutant-allele specific quantitative polymerase chain reaction. Leuk Lymphoma 2012; 54:598-606. [PMID: 22870928 DOI: 10.3109/10428194.2012.718767] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BCR-ABL1 point mutations are the most common cause of resistance in patients with chronic myeloid leukemia (CML) who fail or lose response to tyrosine kinase inhibitors. We have developed a rapid method to screen BCR-ABL1 mutations by high resolution melting (HRM). We designed a strategy based on amplification refractory mutational system-quantitative polymerase chain reaction (ARMS-qPCR) to identify and quantify several clinically relevant mutations. From 856 patients with CML studied during 2 years in our laboratory, we selected 32 who showed persistent levels of BCR-ABL1 transcripts (>0.1%) in at least two consecutive studies. Using our strategy, we identified mutations in 11/32 cases (34.4%), while only two of them (6.2%) were detectable by sequencing. Furthermore, we were able to estimate the timing and dynamics of mutated clones, evaluating retrospective samples from the same patient. In cases with lack or loss of molecular response this analysis might be useful for designing early therapeutic strategies.
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Affiliation(s)
- Cristian Ferri
- Instituto de Medicina Experimental (IMEX, CONICET-ANM), Academia Nacional de Medicina, Pacheco de Melo 3081, 1425 Buenos Aires, Argentina.
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27
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Soverini S, Martinelli G, Rosti G, Iacobucci I, Baccarani M. Advances in treatment of chronic myeloid leukemia with tyrosine kinase inhibitors: the evolving role of Bcr–Abl mutations and mutational analysis. Pharmacogenomics 2012; 13:1271-84. [DOI: 10.2217/pgs.12.103] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Over the last decade, the treatment of chronic myeloid leukemia has progressed tremendously. The first-generation tyrosine kinase inhibitor imatinib is now flanked by two second-generation molecules, dasatinib and nilotinib – and others are in advanced clinical development. One of the reasons for such intensive research on novel compounds is the problem of resistance, that is thought to be caused, in a proportion of cases, by point mutations in Bcr–Abl. In this article, the authors review how the biological and clinical relevance of Bcr–Abl mutations has evolved in parallel with the availability of more and more therapeutic options. The authors also discuss the practical relevance of Bcr–Abl mutation analysis and how this tool should best be integrated in the optimal clinical management of chronic myeloid leukemia patients.
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Affiliation(s)
- Simona Soverini
- Department of Hematology/Oncology “L. e A. Seragnoli”, S. Orsola-Malpighi Hospital, Via Massarenti 9, 40138, University of Bologna, Bologna, Italy
| | - Giovanni Martinelli
- Department of Hematology/Oncology “L. e A. Seragnoli”, S. Orsola-Malpighi Hospital, Via Massarenti 9, 40138, University of Bologna, Bologna, Italy
| | - Gianantonio Rosti
- Department of Hematology/Oncology “L. e A. Seragnoli”, S. Orsola-Malpighi Hospital, Via Massarenti 9, 40138, University of Bologna, Bologna, Italy
| | - Ilaria Iacobucci
- Department of Hematology/Oncology “L. e A. Seragnoli”, S. Orsola-Malpighi Hospital, Via Massarenti 9, 40138, University of Bologna, Bologna, Italy
| | - Michele Baccarani
- Department of Hematology/Oncology “L. e A. Seragnoli”, S. Orsola-Malpighi Hospital, Via Massarenti 9, 40138, University of Bologna, Bologna, Italy
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28
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Tibes R, Mesa RA. Evolution of clinical trial endpoints in chronic myeloid leukemia: Efficacious therapies require sensitive monitoring techniques. Leuk Res 2012; 36:664-71. [DOI: 10.1016/j.leukres.2012.02.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2011] [Revised: 02/06/2012] [Accepted: 02/27/2012] [Indexed: 10/28/2022]
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Khorashad JS, Deininger MWN. Selection of therapy: rational decisions based on molecular events. Hematol Oncol Clin North Am 2012; 25:1009-23, vi. [PMID: 22054732 DOI: 10.1016/j.hoc.2011.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article reviews to what extent molecular data can be used to rationalize therapeutic choices in the treatment of chronic myeloid leukemia. Two categories of data are discussed: markers that globally measure risk but do not provide a molecular rationale for therapy selection; and biomarkers with a causal link to a clinical phenotype, such as certain mutations of the BCR-ABL kinase domain. As therapy selection is still mainly based on clinical criteria, molecular biomarkers are discussed in the context of available clinical prognostication tools, focusing on biomarkers that do not reflect disease burden as a surrogate of responsiveness to treatment.
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Affiliation(s)
- Jamshid S Khorashad
- Deininger Lab, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope, Room 4270, Salt Lake City, UT 84112-5550, USA
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Ernst T, Hochhaus A. Chronic Myeloid Leukemia: Clinical Impact of BCR-ABL1 Mutations and Other Lesions Associated With Disease Progression. Semin Oncol 2012; 39:58-66. [DOI: 10.1053/j.seminoncol.2011.11.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Hochhaus A, Reiter A, Ernst T, La Rosée P. Imatinib and beyond--targeting activated tyrosine kinases in myeloproliferative disorders. ONKOLOGIE 2012; 35 Suppl 1:34-41. [PMID: 22286586 DOI: 10.1159/000334824] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Tyrosine kinases (TKs) play a major role in cellular signal transduction. Deregulated TK activity has been observed in solid cancers and hematologic malignancies. Advances in the understanding of the oncogenic activation of TKs led to the identification of new kinase inhibitors with improved potency, specificity, and efficacy. With the advent of imatinib mesylate, a new era in the management of patients with BCR-ABL+ chronic myelogenous leukemia (CML), gastrointestinal stromal tumors, and myeloproliferative neoplasms including chronic myelomonocytic leukemia with PDGFRB gene rearrangements and hypereosinophilic syndrome has begun. CML represents a model for the rational design of TK inhibitors based on the insights into signal transduction pathways. In CML, treatment with imatinib led to an outstanding clinical efficacy with limited toxicity. In BCR-ABL-negative myeloproliferation, the finding of activating point mutations in JAK2 prompted the development of JAK inhibitors to target this activated pathway. Aberrations of epigenetically active genes are the latest finding in the pathogenesis of myeloproliferative disorders and will serve as another target for innovative therapies.
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Affiliation(s)
- Andreas Hochhaus
- Klinik für Innere Medizin II, Abteilung Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Germany.
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Werner B, Lutz D, Brümmendorf TH, Traulsen A, Balabanov S. Dynamics of resistance development to imatinib under increasing selection pressure: a combination of mathematical models and in vitro data. PLoS One 2011; 6:e28955. [PMID: 22216147 PMCID: PMC3245228 DOI: 10.1371/journal.pone.0028955] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2011] [Accepted: 11/17/2011] [Indexed: 12/20/2022] Open
Abstract
In the last decade, cancer research has been a highly active and rapidly evolving scientific area. The ultimate goal of all efforts is a better understanding of the mechanisms that discriminate malignant from normal cell biology in order to allow the design of molecular targeted treatment strategies. In individual cases of malignant model diseases addicted to a specific, ideally single oncogene, e.g. Chronic myeloid leukemia (CML), specific tyrosine kinase inhibitors (TKI) have indeed been able to convert the disease from a ultimately life-threatening into a chronic disease with individual patients staying in remission even without treatment suggestive of operational cure. These developments have been raising hopes to transfer this concept to other cancer types. Unfortunately, cancer cells tend to develop both primary and secondary resistance to targeted drugs in a substantially higher frequency often leading to a failure of treatment clinically. Therefore, a detailed understanding of how cells can bypass targeted inhibition of signaling cascades crucial for malignant growths is necessary. Here, we have performed an in vitro experiment that investigates kinetics and mechanisms underlying resistance development in former drug sensitive cancer cells over time in vitro. We show that the dynamics observed in these experiments can be described by a simple mathematical model. By comparing these experimental data with the mathematical model, important parameters such as mutation rates, cellular fitness and the impact of individual drugs on these processes can be assessed. Excitingly, the experiment and the model suggest two fundamentally different ways of resistance evolution, i.e. acquisition of mutations and phenotype switching, each subject to different parameters. Most importantly, this complementary approach allows to assess the risk of resistance development in the different phases of treatment and thus helps to identify the critical periods where resistance development is most likely to occur.
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Affiliation(s)
- Benjamin Werner
- Evolutionary Theory Group, Max-Planck-Institute for Evolutionary Biology, Plön, Germany.
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33
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34
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Härtel N, Klag T, Hanfstein B, Mueller MC, Schenk T, Erben P, Hochhaus A, La Rosée P. Enhanced ABL-inhibitor-induced MAPK-activation in T315I-BCR-ABL-expressing cells: a potential mechanism of altered leukemogenicity. J Cancer Res Clin Oncol 2011; 138:203-12. [DOI: 10.1007/s00432-011-1086-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2011] [Accepted: 11/01/2011] [Indexed: 10/15/2022]
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35
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Parker WT, Lawrence RM, Ho M, Irwin DL, Scott HS, Hughes TP, Branford S. Sensitive detection of BCR-ABL1 mutations in patients with chronic myeloid leukemia after imatinib resistance is predictive of outcome during subsequent therapy. J Clin Oncol 2011; 29:4250-9. [PMID: 21990409 DOI: 10.1200/jco.2011.35.0934] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
PURPOSE BCR-ABL1 mutation analysis is recommended to facilitate selection of appropriate therapy for patients with chronic myeloid leukemia after treatment with imatinib has failed, since some frequently occurring mutations confer clinical resistance to nilotinib and/or dasatinib. However, mutations could be present below the detection limit of conventional direct sequencing. We developed a sensitive, multiplexed mass spectrometry assay (detection limit, 0.05% to 0.5%) to determine the impact of low-level mutations after imatinib treatment has failed. PATIENTS AND METHODS Mutation status was assessed in 220 patients treated with nilotinib or dasatinib after they experienced resistance to imatinib. RESULTS Mutations were detected by sequencing in 128 patients before commencing nilotinib or dasatinib therapy (switchover). In 64 patients, 132 additional low-level mutations were detected by mass spectrometry alone (50 of 132 mutations were resistant to nilotinib and/or dasatinib). When patients received the inhibitor for which the mutation confers resistance, 84% of the low-level resistant mutations rapidly became dominant clones detectable by sequencing, including 11 of 12 T315I mutations. Subsequent complete cytogenetic response rates were lower for patients with resistant mutations at switchover detected by sequencing (0%) or mass spectrometry alone (16%) compared with patients with other mutations or no mutations (41% and 49%, respectively; P < .001). Failure-free survival among the 100 patients with chronic phase chronic myeloid leukemia when resistant mutations were detected at switchover by sequencing or mass spectrometry alone was 0% and 0% compared with 51% and 45% for patients with other mutations or no mutations (P = .003). CONCLUSION Detection of low-level mutations after imatinib resistance offers critical information to guide subsequent therapy selection. If an inappropriate kinase inhibitor is selected, there is a high risk of treatment failure with clonal expansion of the resistant mutant.
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Affiliation(s)
- Wendy T Parker
- SA Pathology, IMVS, e Rd, PO Box 14 Rundle Mall, Adelaide, SA, 5000, Australia.
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36
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37
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Gruber FX, Ernst T, Porkka K, Engh RA, Mikkola I, Maier J, Lange T, Hochhaus A. Dynamics of the emergence of dasatinib and nilotinib resistance in imatinib-resistant CML patients. Leukemia 2011; 26:172-7. [PMID: 21818112 DOI: 10.1038/leu.2011.187] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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38
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Mathisen MS, Kantarjian HM, Cortes J, Jabbour E. Mutant BCR-ABL clones in chronic myeloid leukemia. Haematologica 2011; 96:347-9. [PMID: 21357713 DOI: 10.3324/haematol.2010.039560] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
MESH Headings
- Antineoplastic Protocols
- Clinical Trials, Phase III as Topic
- Clone Cells/pathology
- Drug Resistance, Neoplasm/drug effects
- Drug Resistance, Neoplasm/genetics
- Fusion Proteins, bcr-abl/genetics
- Fusion Proteins, bcr-abl/metabolism
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/physiopathology
- Mutation
- Protein Kinase Inhibitors/administration & dosage
- Protein Kinase Inhibitors/therapeutic use
- Protein-Tyrosine Kinases/genetics
- Protein-Tyrosine Kinases/metabolism
- Treatment Failure
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Chmielecki J, Foo J, Oxnard GR, Hutchinson K, Ohashi K, Somwar R, Wang L, Amato KR, Arcila M, Sos ML, Socci ND, Viale A, de Stanchina E, Ginsberg MS, Thomas RK, Kris MG, Inoue A, Ladanyi M, Miller VA, Michor F, Pao W. Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling. Sci Transl Med 2011; 3:90ra59. [PMID: 21734175 PMCID: PMC3500629 DOI: 10.1126/scitranslmed.3002356] [Citation(s) in RCA: 405] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Non-small cell lung cancers (NSCLCs) that harbor mutations within the epidermal growth factor receptor (EGFR) gene are sensitive to the tyrosine kinase inhibitors (TKIs) gefitinib and erlotinib. Unfortunately, all patients treated with these drugs will acquire resistance, most commonly as a result of a secondary mutation within EGFR (T790M). Because both drugs were developed to target wild-type EGFR, we hypothesized that current dosing schedules were not optimized for mutant EGFR or to prevent resistance. To investigate this further, we developed isogenic TKI-sensitive and TKI-resistant pairs of cell lines that mimic the behavior of human tumors. We determined that the drug-sensitive and drug-resistant EGFR-mutant cells exhibited differential growth kinetics, with the drug-resistant cells showing slower growth. We incorporated these data into evolutionary mathematical cancer models with constraints derived from clinical data sets. This modeling predicted alternative therapeutic strategies that could prolong the clinical benefit of TKIs against EGFR-mutant NSCLCs by delaying the development of resistance.
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Affiliation(s)
- Juliann Chmielecki
- Weill Cornell Graduate School of Medical Sciences, New York, NY 10021, USA
| | - Jasmine Foo
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - Geoffrey R. Oxnard
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Katherine Hutchinson
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Kadoaki Ohashi
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Romel Somwar
- Cancer Biology and Genetics Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Lu Wang
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Katherine R. Amato
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Maria Arcila
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Martin L. Sos
- Max Planck Institute for Neurological Research with Klaus Joachim Zülch Laboratories of the Max Planck Society and the Medical Faculty, 50931 Cologne, Germany
| | - Nicholas D. Socci
- Bioinformatics Core, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Agnes Viale
- Genomics Core Laboratory, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Elisa de Stanchina
- Anti-Tumor Assessment Core Laboratory, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Michelle S. Ginsberg
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Roman K. Thomas
- Max Planck Institute for Neurological Research with Klaus Joachim Zülch Laboratories of the Max Planck Society and the Medical Faculty, 50931 Cologne, Germany
- Department I of Internal Medicine and Center of Integrated Oncology Köln-Bonn, University of Cologne, 50924 Cologne, Germany
- Chemical Genomics Center of the Max Planck Society, 44227 Dortmund, Germany
| | - Mark G. Kris
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Akira Inoue
- Department of Respiratory Medicine, Tohoku University Hospital, 1-1 Seiryomachi, Aobaku, Sendai 3831, Japan
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Vincent A. Miller
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Franziska Michor
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
| | - William Pao
- Department of Medicine, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
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