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Vlachonikola E, Pechlivanis N, Karakatsoulis G, Sofou E, Gkoliou G, Jeromin S, Stavroyianni N, Ranghetti P, Scarfo L, Österholm C, Mansouri L, Notopoulou S, Siorenta A, Anagnostopoulos A, Ghia P, Haferlach C, Rosenquist R, Psomopoulos F, Kouvatsi A, Baliakas P, Stamatopoulos K, Chatzidimitriou A. T cell receptor gene repertoire profiles in subgroups of patients with chronic lymphocytic leukemia bearing distinct genomic aberrations. Front Oncol 2023; 13:1097942. [PMID: 36816924 PMCID: PMC9929157 DOI: 10.3389/fonc.2023.1097942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023] Open
Abstract
Background Microenvironmental interactions of the malignant clone with T cells are critical throughout the natural history of chronic lymphocytic leukemia (CLL). Indeed, clonal expansions of T cells and shared clonotypes exist between different CLL patients, strongly implying clonal selection by antigens. Moreover, immunogenic neoepitopes have been isolated from the clonotypic B cell receptor immunoglobulin sequences, offering a rationale for immunotherapeutic approaches. Here, we interrogated the T cell receptor (TR) gene repertoire of CLL patients with different genomic aberration profiles aiming to identify unique signatures that would point towards an additional source of immunogenic neoepitopes for T cells. Experimental design TR gene repertoire profiling using next generation sequencing in groups of patients with CLL carrying one of the following copy-number aberrations (CNAs): del(11q), del(17p), del(13q), trisomy 12, or gene mutations in TP53 or NOTCH1. Results Oligoclonal expansions were found in all patients with distinct recurrent genomic aberrations; these were more pronounced in cases bearing CNAs, particularly trisomy 12, rather than gene mutations. Shared clonotypes were found both within and across groups, which appeared to be CLL-biased based on extensive comparisons against TR databases from various entities. Moreover, in silico analysis identified TR clonotypes with high binding affinity to neoepitopes predicted to arise from TP53 and NOTCH1 mutations. Conclusions Distinct TR repertoire profiles were identified in groups of patients with CLL bearing different genomic aberrations, alluding to distinct selection processes. Abnormal protein expression and gene dosage effects associated with recurrent genomic aberrations likely represent a relevant source of CLL-specific selecting antigens.
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Affiliation(s)
- Elisavet Vlachonikola
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle, University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Pechlivanis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle, University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Karakatsoulis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Mathematics, School of Sciences, University of Ioannina, Ioannina, Greece
| | - Electra Sofou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Laboratory of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Glykeria Gkoliou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | | | - Niki Stavroyianni
- Hematology Department and Hematopoietic Cell Transplantation (HCT) Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - Pamela Ranghetti
- Division of Experimental Oncology, Università Vita-Salute San Raffaele and Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Ospedale San Raffaele, Milan, Italy
| | - Lydia Scarfo
- Division of Experimental Oncology, Università Vita-Salute San Raffaele and Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Ospedale San Raffaele, Milan, Italy
| | - Cecilia Österholm
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Larry Mansouri
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sofia Notopoulou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Alexandra Siorenta
- Immunology Department and National Tissue Typing Center, General Hospital of Athens “G. Gennimatas”, Athens, Greece
| | - Achilles Anagnostopoulos
- Hematology Department and Hematopoietic Cell Transplantation (HCT) Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - Paolo Ghia
- Division of Experimental Oncology, Università Vita-Salute San Raffaele and Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Ospedale San Raffaele, Milan, Italy
| | | | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden,Clinical Genetics, Karolinska University Hospital, Solna, Sweden
| | - Fotis Psomopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Anastasia Kouvatsi
- Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle, University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Anastasia Chatzidimitriou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden,*Correspondence: Anastasia Chatzidimitriou,
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Vetro C, Haferlach T, Meggendorfer M, Stengel A, Jeromin S, Kern W, Haferlach C. Cytogenetic and molecular genetic characterization of KMT2A-PTD positive acute myeloid leukemia in comparison to KMT2A-Rearranged acute myeloid leukemia. Cancer Genet 2019; 240:15-22. [PMID: 31698332 DOI: 10.1016/j.cancergen.2019.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/23/2019] [Accepted: 10/28/2019] [Indexed: 12/19/2022]
Abstract
To define the biological differences in acute myeloid leukaemia (AML) with KMT2A gene involvements and their prognostic impact, we compared 190 de novo AML patients at diagnosis, 95 harbouring KMT2A-rearrangement (KMT2Ar) and 95 KMT2A-PTD by performing cytogenetic and molecular genetic analyses. Both AML subtypes had an unfavourable outcome, particularly in patients > 60 years. Patients with KMT2Ar were younger compared to patients with KMT2A-PTD (mean 52 vs 65 years, p < 0.001) and had a higher rate of additional cytogenetic abnormalities (ACA) (46% vs 25% of cases). In both groups, occurrence of ACA did not influence the overall survival (OS). Regarding molecular genetics, 66% of patients with KMT2Ar and 99% of patients with KMT2A-PTD had additional gene mutations. In multivariate analysis, KRAS mutations and 10p12 rearrangement resulted as adverse prognostic factors in KMT2Ar subgroup. In the KMT2A-PTD group, apart from age, only the occurrence of DNMT3A non-R882 mutations correlated with shorter OS.
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Meggendorfer M, Jeromin S, Haferlach C, Kern W, Haferlach T. The mutational landscape of 18 investigated genes clearly separates four subtypes of myelodysplastic/myeloproliferative neoplasms. Haematologica 2019; 103:e192-e195. [PMID: 29700173 DOI: 10.3324/haematol.2017.183160] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Jeromin S, Eder C, Haferlach C, Haferlach T, Kern W. Impact of assay procedures on detection of MR 4.5 status in chronic myeloid leukemia: Optimization of cDNA synthesis. Int J Lab Hematol 2019; 41:e109-e112. [PMID: 30860652 DOI: 10.1111/ijlh.13004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/28/2019] [Accepted: 02/18/2019] [Indexed: 11/30/2022]
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Baliakas P, Moysiadis T, Hadzidimitriou A, Xochelli A, Jeromin S, Agathangelidis A, Mattsson M, Sutton LA, Minga E, Scarfò L, Rossi D, Davis Z, Villamor N, Parker H, Kotaskova J, Stalika E, Plevova K, Mansouri L, Cortese D, Navarro A, Delgado J, Larrayoz M, Young E, Anagnostopoulos A, Smedby KE, Juliusson G, Sheehy O, Catherwood M, Strefford JC, Stavroyianni N, Belessi C, Pospisilova S, Oscier D, Gaidano G, Campo E, Haferlach C, Ghia P, Rosenquist R, Stamatopoulos K. Tailored approaches grounded on immunogenetic features for refined prognostication in chronic lymphocytic leukemia. Haematologica 2019; 104:360-369. [PMID: 30262567 PMCID: PMC6355487 DOI: 10.3324/haematol.2018.195032] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 09/25/2018] [Indexed: 12/21/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) patients with differential somatic hypermutation status of the immunoglobulin heavy variable genes, namely mutated or unmutated, display fundamental clinico-biological differences. Considering this, we assessed prognosis separately within mutated (M-CLL) and unmutated (U-CLL) CLL in 3015 patients, hypothesizing that the relative significance of relevant indicators may differ between these two categories. Within Binet A M-CLL patients, besides TP53 abnormalities, trisomy 12 and stereotyped subset #2 membership were equivalently associated with the shortest time-to-first-treatment and a treatment probability at five and ten years after diagnosis of 40% and 55%, respectively; the remaining cases exhibited 5-year and 10-year treatment probability of 12% and 25%, respectively. Within Binet A U-CLL patients, besides TP53 abnormalities, del(11q) and/or SF3B1 mutations were associated with the shortest time-to-first-treatment (5- and 10-year treatment probability: 78% and 98%, respectively); in the remaining cases, males had a significantly worse prognosis than females. In conclusion, the relative weight of indicators that can accurately risk stratify early-stage CLL patients differs depending on the somatic hypermutation status of the immunoglobulin heavy variable genes of each patient. This finding highlights the fact that compartmentalized approaches based on immunogenetic features are necessary to refine and tailor prognostication in CLL.
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MESH Headings
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
- Chromosome Aberrations
- Disease Susceptibility
- Female
- Humans
- Immunogenetics
- Kaplan-Meier Estimate
- Leukemia, Lymphocytic, Chronic, B-Cell/etiology
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Male
- Mutation
- Neoplasm Staging
- Prognosis
- Time-to-Treatment
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Affiliation(s)
- Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Theodoros Moysiadis
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | - Anastasia Hadzidimitriou
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | - Aliki Xochelli
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | | | - Andreas Agathangelidis
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | - Mattias Mattsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Lesley-Ann Sutton
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Eva Minga
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
| | - Lydia Scarfò
- Division of Experimental Oncology, IRCCS Istituto Scientifico San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | - Davide Rossi
- Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Zadie Davis
- Department of Haematology, Royal Bournemouth Hospital, UK
| | - Neus Villamor
- Hemopathology Unit, Hospital Clinic, Barcelona, Spain
| | - Helen Parker
- Cancer Genomics, Academic Unit of Cancer Sciences, Cancer Research UK Centre and Experimental Cancer Medicine Centre, Faculty of Medicine, University of Southampton, UK
| | - Jana Kotaskova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Czech Republic
| | - Evangelia Stalika
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Czech Republic
| | - Larry Mansouri
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Diego Cortese
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | - Alba Navarro
- Hemopathology Unit, Hospital Clinic, Barcelona, Spain
| | - Julio Delgado
- Hematology Department, Hospital Clinic, Barcelona, Spain
| | - Marta Larrayoz
- Cancer Genomics, Academic Unit of Cancer Sciences, Cancer Research UK Centre and Experimental Cancer Medicine Centre, Faculty of Medicine, University of Southampton, UK
| | - Emma Young
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
| | | | - Karin E Smedby
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Gunnar Juliusson
- Lund University and Hospital Department of Hematology, Lund Stem Cell Center, Sweden
| | - Oonagh Sheehy
- Department of Hemato-Oncology, Belfast City Hospital, UK
| | | | - Jonathan C Strefford
- Cancer Genomics, Academic Unit of Cancer Sciences, Cancer Research UK Centre and Experimental Cancer Medicine Centre, Faculty of Medicine, University of Southampton, UK
| | - Niki Stavroyianni
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | | | - Sarka Pospisilova
- Central European Institute of Technology, Masaryk University and University Hospital Brno, Czech Republic
| | - David Oscier
- Department of Haematology, Royal Bournemouth Hospital, UK
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy
| | - Elias Campo
- Hemopathology Unit, Hospital Clinic, Barcelona, Spain
- Department of Pathology, University of Barcelona, Spain
| | | | - Paolo Ghia
- Division of Experimental Oncology, IRCCS Istituto Scientifico San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
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Stengel A, Jeromin S, Haferlach T, Meggendorfer M, Kern W, Haferlach C. Detection and characterization of homozygosity of mutated CALR by copy neutral loss of heterozygosity in myeloproliferative neoplasms among cases with high CALR mutation loads or with progressive disease. Haematologica 2018; 104:e187-e190. [PMID: 30409794 DOI: 10.3324/haematol.2018.202952] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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7
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Vetro C, Haferlach T, Jeromin S, Stengel A, Zenger M, Nadarajah N, Baer C, Weissmann S, Kern W, Meggendorfer M, Haferlach C. Identification of prognostic parameters in CLL with no abnormalities detected by chromosome banding and FISH analyses. Br J Haematol 2018; 183:47-59. [PMID: 30022491 DOI: 10.1111/bjh.15498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 06/07/2018] [Indexed: 01/09/2023]
Abstract
Chronic Lymphocytic Leukaemia (CLL) is a heterogeneous disease with a clinical course dependent on cytogenetic features. However, in 15-20% of cases both chromosome banding and fluorescence in situ hybridisation analyses do not show any kind of abnormality. With the aim to identify dependable molecular prognostic factors in this subgroup, we performed a comprehensive analysis on 171 patients including genomic arrays (comparative genomic hybridisation and single nucleotide polymorphism), immunoglobulin heavy chain variable region genes (IGHV) status, flow cytometry and targeted sequencing. Genomic arrays detected 73 aberrations in 39 patients (23%). Most frequently, patients had 1 aberration (25/171; 15%), while 14 patients (8%) had at least 2 aberrations. IGHV status was unmutated in 53/171 (31%) patients. SF3B1 was the most frequently mutated gene (26/171 patients; 15%), followed by NOTCH1 (15/171; 9%). At univariate analysis, an adverse impact on time to treatment (TTT) was evident for SF3B1 mutations, higher white blood cell count, higher CLL cells percentage by flow cytometry, CD38 positivity, IGHV unmutated status and at least 2 genomic array abnormalities. Of these, SF3B1 mutations, CLL cells percentage, IGHV unmutated status and number of genomic array aberrations maintained their impact in multivariate analysis. In conclusion, by integrating genomic and molecular data, we identified patients at higher risk for treatment need.
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Affiliation(s)
| | | | | | - Anna Stengel
- MLL Munich Leukaemia Laboratory, Munich, Germany
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Jeromin S, Vossel M, Rauchholz C, Billet S, Mueller CA, Lavallée S, Radermacher K, de la Fuente M. A new approach for safe planning transfer using semi-automatically adjustable instrument guides. Int J Med Robot 2018; 14:e1907. [PMID: 29603555 DOI: 10.1002/rcs.1907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 01/03/2018] [Accepted: 01/30/2018] [Indexed: 11/10/2022]
Abstract
Accurate planning transfer is a prerequisite for successful operative care. For different applications, diverse computer-assisted systems have been developed and clinically evaluated. This paper presents the implementation and evaluation of a new modular concept. The approach is based on passive application specific kinematics that are semi-automatically adjusted using a universal hand-held computer controlled Smart Screw Driver. The system was realized for pedicle screw instrumentation and evaluated according to IEC 60601-1-6 (usability engineering). The accuracies of the drill holes achieved were comparable with robotic approaches, while operation time and radiation were reduced compared with conventional operation techniques. The adjustment procedure has proven high learnability and user satisfaction. The next step will be optimization of the kinematic structure and fixation to the patient in order to increase accuracies of planning transfer as well as evaluation of the overall system by medical staff in preclinical and clinical studies.
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Hehlmann R, Lauseker M, Saußele S, Pfirrmann M, Krause S, Kolb HJ, Neubauer A, Hossfeld DK, Nerl C, Gratwohl A, Baerlocher GM, Heim D, Brümmendorf TH, Fabarius A, Haferlach C, Schlegelberger B, Müller MC, Jeromin S, Proetel U, Kohlbrenner K, Voskanyan A, Rinaldetti S, Seifarth W, Spieß B, Balleisen L, Goebeler MC, Hänel M, Ho A, Dengler J, Falge C, Kanz L, Kremers S, Burchert A, Kneba M, Stegelmann F, Köhne CA, Lindemann HW, Waller CF, Pfreundschuh M, Spiekermann K, Berdel WE, Müller L, Edinger M, Mayer J, Beelen DW, Bentz M, Link H, Hertenstein B, Fuchs R, Wernli M, Schlegel F, Schlag R, de Wit M, Trümper L, Hebart H, Hahn M, Thomalla J, Scheid C, Schafhausen P, Verbeek W, Eckart MJ, Gassmann W, Pezzutto A, Schenk M, Brossart P, Geer T, Bildat S, Schäfer E, Hochhaus A, Hasford J. Assessment of imatinib as first-line treatment of chronic myeloid leukemia: 10-year survival results of the randomized CML study IV and impact of non-CML determinants. Leukemia 2017; 31:2398-2406. [PMID: 28804124 PMCID: PMC5668495 DOI: 10.1038/leu.2017.253] [Citation(s) in RCA: 185] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 07/04/2017] [Indexed: 01/06/2023]
Abstract
Chronic myeloid leukemia (CML)-study IV was designed to explore whether treatment with imatinib (IM) at 400 mg/day (n=400) could be optimized by doubling the dose (n=420), adding interferon (IFN) (n=430) or cytarabine (n=158) or using IM after IFN-failure (n=128). From July 2002 to March 2012, 1551 newly diagnosed patients in chronic phase were randomized into a 5-arm study. The study was powered to detect a survival difference of 5% at 5 years. After a median observation time of 9.5 years, 10-year overall survival was 82%, 10-year progression-free survival was 80% and 10-year relative survival was 92%. Survival between IM400 mg and any experimental arm was not different. In a multivariate analysis, risk group, major-route chromosomal aberrations, comorbidities, smoking and treatment center (academic vs other) influenced survival significantly, but not any form of treatment optimization. Patients reaching the molecular response milestones at 3, 6 and 12 months had a significant survival advantage. For responders, monotherapy with IM400 mg provides a close to normal life expectancy independent of the time to response. Survival is more determined by patients' and disease factors than by initial treatment selection. Although improvements are also needed for refractory disease, more life-time can currently be gained by carefully addressing non-CML determinants of survival.
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Affiliation(s)
- R Hehlmann
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - M Lauseker
- IBE, Universität München, Munich, Germany
| | - S Saußele
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | | | - S Krause
- Medizinische Klinik 5, Universitätsklinikum, Erlangen, Germany
| | - H J Kolb
- Medizinische Klinik III, Universität München, Munich, Germany
| | - A Neubauer
- Klinik für innere Medizin, Universitätsklinikum, Marburg, Germany
| | - D K Hossfeld
- 2. Medizinische Klinik, Universitätsklinikum Eppendorf, Hamburg, Germany
| | - C Nerl
- Klinikum Schwabing, Munich, Germany
| | | | | | - D Heim
- Universitätsspital, Basel, Switzerland
| | | | - A Fabarius
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | | | | | - M C Müller
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | | | - U Proetel
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - K Kohlbrenner
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - A Voskanyan
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - S Rinaldetti
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - W Seifarth
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - B Spieß
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | | | - M C Goebeler
- Medizinische Klinik und Poliklinik, Universitätsklinikum, Würzburg, Germany
| | - M Hänel
- Klinik für innere Medizin 3, Chemnitz, Germany
| | - A Ho
- Medizinische Klinik V, Universität Heidelberg, Heidelberg, Germany
| | - J Dengler
- Onkologische Schwerpunktpraxis, Heilbronn, Germany
| | - C Falge
- Medizinische Klinik 5, Klinikum Nürnberg-Nord, Nürnberg, Germany
| | - L Kanz
- Medizinische Abteilung 2, Universitätsklinikum, Tübingen, Germany
| | - S Kremers
- Caritas Krankenhaus, Lebach, Germany
| | - A Burchert
- Klinik für innere Medizin, Universitätsklinikum, Marburg, Germany
| | - M Kneba
- 2. Medizinische Klinik und Poliklinik, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - F Stegelmann
- Klinik für Innere Medizin 3, Universitätsklinikum, Ulm, Germany
| | - C A Köhne
- Klinik für Onkologie und Hämatologie, Oldenburg, Germany
| | | | - C F Waller
- Innere Medizin 1, Universitätsklinikum, Freiburg, Germany
| | - M Pfreundschuh
- Klinik für Innere Medizin 1, Universität des Saarlandes, Homburg, Germany
| | - K Spiekermann
- Medizinische Klinik III, Universität München, Munich, Germany
| | - W E Berdel
- Medizinische Klinik A, Universitätsklinikum, Münster, Germany
| | - L Müller
- Onkologie Leer UnterEms, Leer, Germany
| | - M Edinger
- Klinik und Poliklinik für Innere Medizin 3, Universitätsklinikum, Regensburg, Germany
| | - J Mayer
- Masaryk University Hospital, Brno, Czech Republic
| | - D W Beelen
- Klinik für Knochenmarktransplantation, Essen, Germany
| | - M Bentz
- Medizinische Klinik 3, Städtisches Klinikum, Karlsruhe, Germany
| | - H Link
- Klinik für Innere Medizin 3, Westpfalz-Klinikum, Kaiserslautern, Germany
| | - B Hertenstein
- 1. Medizinische Klinik, Klinikum Bremen Mitte, Bremen, Germany
| | | | - M Wernli
- Kantonsspital, Aarau, Switzerland
| | - F Schlegel
- St Antonius-Hospital, Eschweiler, Germany
| | - R Schlag
- Hämatologische-Onkologische Schwerpunktpraxis, Würzburg, Germany
| | - M de Wit
- Vivantes Klinikum Neukölln, Berlin, Germany
| | - L Trümper
- Klinik für Hämatologie und medizinische Onkologie, Universitätsmedizin, Göttingen, Germany
| | - H Hebart
- Stauferklinikum Schwäbisch Gmünd, Mutlangen, Germany
| | - M Hahn
- Onkologie Zentrum, Ansbach, Germany
| | - J Thomalla
- Praxisklinik für Hämatologie und Onkologie, Koblenz, Germany
| | - C Scheid
- Klinik 1 für Innere Medizin, Universitätsklinikum, Köln, Germany
| | - P Schafhausen
- 2. Medizinische Klinik, Universitätsklinikum Eppendorf, Hamburg, Germany
| | - W Verbeek
- Ambulante Hämatologie und Onkologie, Bonn, Germany
| | - M J Eckart
- Internistische Schwerpunktpraxis, Erlangen, Germany
| | | | | | - M Schenk
- Barmherzige Brüder, Regensburg, Germany
| | - P Brossart
- Medizinische Klinik 3, Universität, Bonn, Germany
| | - T Geer
- Diakonie, Schwäbisch Hall, Germany
| | - S Bildat
- Medizinische Klinik 2, Herford, Germany
| | - E Schäfer
- Onkologische Schwerpunktpraxis, Bielefeld, Germany
| | - A Hochhaus
- Klinik für Innere Medizin 2, Universitätsklinikum, Jena, Germany
| | - J Hasford
- IBE, Universität München, Munich, Germany
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10
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Martin-Cabrera P, Jeromin S, Perglerovà K, Haferlach C, Kern W, Haferlach T. Acute myeloid leukemias with ring sideroblasts show a unique molecular signature straddling secondary acute myeloid leukemia and de novo acute myeloid leukemia. Haematologica 2017; 102:e125-e128. [PMID: 28057736 DOI: 10.3324/haematol.2016.156844] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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11
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Haberl S, Haferlach T, Stengel A, Jeromin S, Kern W, Haferlach C. MYC rearranged B-cell neoplasms: Impact of genetics on classification. Cancer Genet 2016; 209:431-439. [PMID: 27810071 DOI: 10.1016/j.cancergen.2016.08.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/11/2016] [Accepted: 08/21/2016] [Indexed: 12/12/2022]
Abstract
A cohort comprising 156 patients with B-cell neoplasms harboring an MYC rearrangement was analyzed with respect to phenotypic presentation, molecular markers (TP53, MYC and ID3) and additional cytogenetic abnormalities (concomitantly occurring BCL2, BCL6 and/or CCND1 rearrangements; double, triple or quadruple hit lymphomas = multiple hit lymphomas). MYC translocations occurred as single hit (only MYC rearranged, 63%) or multiple hit lymphoma (37%) and presented as acute leukemia (AL) (14%), Burkitt lymphoma (30%), chronic lymphocytic leukemia (CLL) (21%) or other mature B-cell neoplasms (35%). Multiple hit lymphomas more frequently showed a complex karyotype compared to single hit lymphomas (62% vs. 28%, p < 0.001). Single hit Burkitt lymphomas presented with specific characteristics, by translocation of MYC to an immunoglobulin locus, predominantly a non-complex karyotype (23% vs. 67%, p = 0.012) and a significantly higher ID3 and TP53 mutation frequency (ID3mut: 49% vs. 0%, p = 0.002; TP53mut: 69% vs. 33%, p = 0.045). Additionally, MYC rearranged CLL presented as outstanding group by often showing a non-complex karyotype (85%), absence of ID3 mutations, a high frequency of SF3B1 mutations, and a frequent involvement of non-immunoglobulin loci as MYC-partner genes (61%). Consequently, genetic characteristics distinguish different subgroups of MYC rearranged B-cell neoplasms and therefore may contribute to a new classification system.
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12
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Cross NCP, White HE, Ernst T, Welden L, Dietz C, Saglio G, Mahon FX, Wong CC, Zheng D, Wong S, Wang SS, Akiki S, Albano F, Andrikovics H, Anwar J, Balatzenko G, Bendit I, Beveridge J, Boeckx N, Cerveira N, Cheng SM, Colomer D, Czurda S, Daraio F, Dulucq S, Eggen L, El Housni H, Gerrard G, Gniot M, Izzo B, Jacquin D, Janssen JJWM, Jeromin S, Jurcek T, Kim DW, Machova-Polakova K, Martinez-Lopez J, McBean M, Mesanovic S, Mitterbauer-Hohendanner G, Mobtaker H, Mozziconacci MJ, Pajič T, Pallisgaard N, Panagiotidis P, Press RD, Qin YZ, Radich J, Sacha T, Touloumenidou T, Waits P, Wilkinson E, Zadro R, Müller MC, Hochhaus A, Branford S. Development and evaluation of a secondary reference panel for BCR-ABL1 quantification on the International Scale. Leukemia 2016; 30:1844-52. [PMID: 27109508 PMCID: PMC5240017 DOI: 10.1038/leu.2016.90] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 04/11/2016] [Indexed: 12/24/2022]
Abstract
Molecular monitoring of chronic myeloid leukemia patients using robust BCR-ABL1 tests standardized to the International Scale (IS) is key to proper disease management, especially when treatment cessation is considered. Most laboratories currently use a time-consuming sample exchange process with reference laboratories for IS calibration. A World Health Organization (WHO) BCR-ABL1 reference panel was developed (MR1–MR4), but access to the material is limited. In this study, we describe the development of the first cell-based secondary reference panel that is traceable to and faithfully replicates the WHO panel, with an additional MR4.5 level. The secondary panel was calibrated to IS using digital PCR with ABL1, BCR and GUSB as reference genes and evaluated by 44 laboratories worldwide. Interestingly, we found that >40% of BCR-ABL1 assays showed signs of inadequate optimization such as poor linearity and suboptimal PCR efficiency. Nonetheless, when optimized sample inputs were used, >60% demonstrated satisfactory IS accuracy, precision and/or MR4.5 sensitivity, and 58% obtained IS conversion factors from the secondary reference concordant with their current values. Correlation analysis indicated no significant alterations in %BCR-ABL1 results caused by different assay configurations. More assays achieved good precision and/or sensitivity than IS accuracy, indicating the need for better IS calibration mechanisms.
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Affiliation(s)
- N C P Cross
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK.,Faculty of Medicine, University of Southampton, Southampton, UK
| | - H E White
- Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK.,Faculty of Medicine, University of Southampton, Southampton, UK
| | - T Ernst
- Department of Hematology/Oncology, Universitätsklinikum Jena, Jena, Germany
| | - L Welden
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, SA, Australia
| | - C Dietz
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - G Saglio
- Department of Clinical and Biological Sciences, San Luigi Hospital, University of Turin, Orbassano, Italy
| | - F-X Mahon
- Bergonie Institute Cancer Center Bordeaux, INSERM U1218, University of Bordeaux, Bordeaux, France
| | - C C Wong
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - D Zheng
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - S Wong
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - S-S Wang
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - S Akiki
- West Midlands Regional Genetics Laboratory, Birmingham, UK
| | - F Albano
- Department of Hematology, University of Bari, Bari, Italy
| | - H Andrikovics
- Laboratory of Molecular Diagnostics, Hungarian National Blood Transfusion Service, Budapest, Hungary.,Department of Pathophysiology, Semmelweis University, Budapest, Hungary
| | - J Anwar
- King's College Hospital London, London, UK
| | - G Balatzenko
- National Specialized Hospital for Active Treatment of Hematological Diseases, Sofia, Bulgaria
| | - I Bendit
- Laboratorio de Biologia Tumoral, Disciplina de Hematologia do HC-FMUSP, São Paulo, Brazil
| | - J Beveridge
- PathWest Laboratory Medicine WA, Department of Haematology, Fiona Stanley Hospital, Perth, WA, Australia
| | - N Boeckx
- Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.,Department of Oncology, KUL, Leuven, Belgium
| | - N Cerveira
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
| | - S-M Cheng
- Department of Hematology and Oncology, Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - D Colomer
- Hematopathology Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - S Czurda
- Division of Molecular Microbiology, Children's Cancer Research Institute, Vienna, Austria
| | - F Daraio
- Department of Clinical and Biological Sciences, San Luigi Hospital, University of Turin, Orbassano, Italy
| | - S Dulucq
- Laboratoire Hematologie, Centre Hospitalier Universitaire de Bordeaux, Universite Bordeaux, Bordeaux, France
| | - L Eggen
- Laboratory of Molecular Pathology, Oslo University Hospital, Oslo, Norway
| | - H El Housni
- Clinique de Genetique Oncologique-Service de genetique, Hopital Erasme, Brussels, Belgium
| | - G Gerrard
- Imperial Molecular Pathology, Hammersmith Hospital, London, UK
| | - M Gniot
- Department of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland
| | - B Izzo
- Department of Clinical Medicine and Surgery, University 'Federico II' of Naples, Naples, Italy.,CEINGE - Biotecnologie Avanzate, Naples, Italy
| | | | - J J W M Janssen
- Department of Hematology and Molecular Diagnostics, VU University Medical Center, Amsterdam, The Netherlands
| | - S Jeromin
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Jurcek
- Center of Molecular Biology and Gene Therapy, Department of Internal Medicine-Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - D-W Kim
- Seoul St Mary's Hospital, Leukemia Research Institute, The Catholic University of Korea, Seoul, Korea
| | - K Machova-Polakova
- Department of Molecular Genetics, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - J Martinez-Lopez
- Department of Hematology, Hospital Universitario 12 de Octubre, Universidad Complutense, CNIO, Madrid, Spain
| | - M McBean
- Division of Cancer Medicine, Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - S Mesanovic
- Pathology Department, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina
| | - G Mitterbauer-Hohendanner
- Department of Laboratory Medicine, Division of Medical and Chemical Laboratory Diagnostics, Medical University of Vienna, Vienna, Austria
| | | | - M-J Mozziconacci
- Departement de Biopathologie, Institut Paoli-Calmettes, Marseille, France
| | - T Pajič
- Specialized Haematology Laboratory, Department of Haematology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - N Pallisgaard
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
| | - P Panagiotidis
- Hematology Unit, First Department of Internal Medicine, Laiko Hospital, University of Athens, Athens, Greece
| | - R D Press
- Department of Pathology and Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Y-Z Qin
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - J Radich
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - T Sacha
- Chair and Department of Hematology, Jagiellonian University, Kraków, Poland
| | - T Touloumenidou
- Laboratory of Molecular Biology, Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - P Waits
- Bristol Genetics Laboratory, Bristol, UK
| | | | - R Zadro
- Faculty of Pharmacy and Biochemistry and University Hospital Center Zagreb, University of Zagreb, Zagreb, Croatia
| | - M C Müller
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - A Hochhaus
- Department of Hematology/Oncology, Universitätsklinikum Jena, Jena, Germany
| | - S Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, SA, Australia.,School of Pharmacy and Medical Science, University of South Australia, Adelaide, SA, Australia.,School of Medicine, University of Adelaide, SA, Adelaide, Australia.,School of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA, Australia
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13
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Weber S, Haferlach C, Jeromin S, Nadarajah N, Dicker F, Noël L, Zenger M, Alpermann T, Kern W, Haferlach T, Schnittger S. Gain of chromosome 21 or amplification of chromosome arm 21q is one mechanism for increased ERG expression in acute myeloid leukemia. Genes Chromosomes Cancer 2015; 55:148-57. [PMID: 26542308 DOI: 10.1002/gcc.22321] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 09/22/2015] [Accepted: 09/23/2015] [Indexed: 01/19/2023] Open
Abstract
In acute myeloid leukemia (AML), acquired genomic gains and losses are common and lead to altered expression of genes located within or nearby the affected regions. Increased expression of the ETS-related transcription factor gene ERG has been described in myeloid malignancies with chromosomal rearrangements involving chromosome band 21q22, but also in cytogenetically normal AML, where it is associated with adverse prognosis. In this study, fluorescence in situ hybridization on interphase nuclei disclosed an amplification of the ERG gene (more than six copies) in 33 AML patients with structural rearrangements of 21q22. Array comparative genomic hybridization of these cases disclosed a minimal amplified region at the position 39.6-40.0 Mbp from pter that harbors ERG as the only gene. Analysis by quantitative real-time reverse transcription polymerase chain reaction revealed significantly higher ERG mRNA expression in these patients and in a group of 95 AML patients with complete or partial gain of chromosome 21 (three to six copies) compared with 351 AML patients without gain of chromosome 21. Quantification of ERG DNA copy numbers revealed a strong correlation with ERG mRNA expression. Furthermore, in patients with gain of chromosome 21, higher ERG expression was found to be associated with RUNX1 mutations. Our results suggest that acquired gain of chromosome 21 or amplification of chromosome arm 21q is one mechanism contributing to increased ERG expression in AML.
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Affiliation(s)
| | | | | | | | | | - Louisa Noël
- MLL Munich Leukemia Laboratory, Munich, Germany
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14
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Jeromin S, Kohlmann A, Meggendorfer M, Schindela S, Perglerová K, Nadarajah N, Kern W, Haferlach C, Haferlach T, Schnittger S. Next-generation deep-sequencing detects multiple clones of CALR mutations in patients with BCR-ABL1 negative MPN. Leukemia 2015. [PMID: 26220041 DOI: 10.1038/leu.2015.207] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- S Jeromin
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Kohlmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | | | - S Schindela
- MLL Munich Leukemia Laboratory, Munich, Germany
| | | | - N Nadarajah
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - W Kern
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - C Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
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15
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Sellei RM, Hingmann SJ, Kobbe P, Weber C, Grice JE, Zimmerman F, Jeromin S, Hildebrand F, Pape HC. Compartment elasticity measured by pressure-related ultrasound to determine patients "at risk" for compartment syndrome: an experimental in vitro study. Patient Saf Surg 2015; 9:4. [PMID: 25621009 PMCID: PMC4305259 DOI: 10.1186/s13037-014-0051-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 12/17/2014] [Indexed: 11/18/2022] Open
Abstract
Background Decision-making in treatment of an acute compartment syndrome is based on clinical assessment, supported by invasive monitoring. Thus, evolving compartment syndrome may require repeated pressure measurements. In suspected cases of potential compartment syndromes clinical assessment alone seems to be unreliable. The objective of this study was to investigate the feasibility of a non-invasive application estimating whole compartmental elasticity by ultrasound, which may improve accuracy of diagnostics. Methods In an in vitro model, using an artificial container simulating dimensions of the human anterior tibial compartment, intra-compartmental pressures (p) were raised subsequently up to 80 mmHg by infusion of saline solution. The compartmental depth (mm) in the cross-section view was measured before and after manual probe compression (100 mmHg) upon the surface resulting in a linear compartmental displacement (∆d). This was repeated at rising compartmental pressures. The resulting displacements were related to the corresponding intra-compartmental pressures simulated in our model. A hypothesized relationship between pressures related compartmental displacement and the elasticity at elevated compartment pressures was investigated. Results With rising compartmental pressures, a non-linear, reciprocal proportional relation between the displacement (mm) and the intra-compartmental pressure (mmHg) occurred. The Pearson coefficient showed a high correlation (r2 = −0.960). The intra-observer reliability value kappa resulted in a statistically high reliability (κ = 0.840). The inter-observer value indicated a fair reliability (κ = 0.640). Conclusions Our model reveals that a strong correlation between compartmental strain displacements assessed by ultrasound and the intra-compartmental pressure changes occurs. Further studies are required to prove whether this assessment is transferable to human muscle tissue. Determining the complete compartmental elasticity by ultrasound enhancement, this application may improve detection of early signs of potential compartment syndrome. Electronic supplementary material The online version of this article (doi:10.1186/s13037-014-0051-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Richard Martin Sellei
- Department of Orthopaedic Trauma, Aachen University Medical Center, Aachen, Germany ; Department of Orthopaedic Trauma, Sana Klinikum Offenbach am Main, Offenbach am Main, Germany
| | | | - Philipp Kobbe
- Department of Orthopaedic Trauma, Aachen University Medical Center, Aachen, Germany
| | - Christian Weber
- Department of Orthopaedic Trauma, Aachen University Medical Center, Aachen, Germany
| | - John Edward Grice
- Department of Orthopaedics and Trauma, Queen Alexandra Hospital, Portsmouth, UK
| | - Frauke Zimmerman
- Helmholtz-Institute for biomedical engineering, Chair of medical engineering, RWTH Aachen University, Aachen, Germany
| | - Sabine Jeromin
- Helmholtz-Institute for biomedical engineering, Chair of medical engineering, RWTH Aachen University, Aachen, Germany
| | - Frank Hildebrand
- Department of Orthopaedic Trauma, Aachen University Medical Center, Aachen, Germany
| | - Hans-Christoph Pape
- Department of Orthopaedic Trauma, Aachen University Medical Center, Aachen, Germany
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16
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Sellei RM, Hingmann SJ, Kobbe P, Weber C, Grice JE, Zimmerman F, Jeromin S, Gansslen A, Hildebrand F, Pape HC. Measurement of compartment elasticity using pressure related ultrasound: a method to identify patients with potential compartment syndrome. Acta Chir Orthop Traumatol Cech 2015; 82:198-202. [PMID: 26317290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
PURPOSE OF THE STUDY Decision-making in treatment of an acute compartment syndrome is based on clinical assessment, supported by invasive monitoring. Thus, evolving compartment syndrome may require repeated pressure measurements. In suspected cases of potential compartment syndromes clinical assessment alone seems to be unreliable. The objective of this study was to investigate the feasibility of a non-invasive application estimating whole compartmental elasticity by ultrasound, which may improve accuracy of diagnostics. MATERIAL AND METHODS In an in-vitro model, using an artificial container simulating dimensions of the human anterior tibial compartment, intracompartmental pressures (p) were raised subsequently up to 80 mm Hg by infusion of saline solution. The compartmental depth (mm) in the cross-section view was measured before and after manual probe compression (100 mm Hg) upon the surface resulting in a linear compartmental displacement (Δd). This was repeated at rising compartmental pressures. The resulting displacements were related to the corresponding intra-compartmental pressures simulated in our model. A hypothesized relationship between pressures related compartmental displacement and the elasticity at elevated compartment pressures was investigated. RESULTS With rising compartmental pressures, a non-linear, reciprocal proportional relation between the displacement (mm) and the intra-compartmental pressure (mm Hg) occurred. The Pearson's coefficient showed a high correlation (r2 = -0.960). The intraobserver reliability value kappa resulted in a statistically high reliability (κ = 0.840). The inter-observer value indicated a fair reliability (κ = 0.640). CONCLUSIONS Our model reveals that a strong correlation between compartmental strain displacements assessed by ultrasound and the intra-compartmental pressure changes occurs. Further studies are required to prove whether this assessment is transferable to human muscle tissue. Determining the complete compartmental elasticity by ultrasound enhancement, this application may improve detection of early signs of potential compartment syndrome. Key words: compartment syndrome, intra-compartmental pressure, non-invasive diagnostic, elasticity measurement, elastography.
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Affiliation(s)
- R M Sellei
- Department of Orthopaedic Trauma, RWTH Aachen University Hospital, Aachen, Germany
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17
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Jeromin S, Haferlach T, Weissmann S, Meggendorfer M, Eder C, Nadarajah N, Alpermann T, Kohlmann A, Kern W, Haferlach C, Schnittger S. Refractory anemia with ring sideroblasts and marked thrombocytosis cases harbor mutations in SF3B1 or other spliceosome genes accompanied by JAK2V617F and ASXL1 mutations. Haematologica 2014; 100:e125-7. [PMID: 25527566 DOI: 10.3324/haematol.2014.119032] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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18
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Meggendorfer M, Haferlach T, Alpermann T, Jeromin S, Haferlach C, Kern W, Schnittger S. Specific molecular mutation patterns delineate chronic neutrophilic leukemia, atypical chronic myeloid leukemia, and chronic myelomonocytic leukemia. Haematologica 2014; 99:e244-6. [PMID: 25239264 DOI: 10.3324/haematol.2014.113159] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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19
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Sellei RM, Waehling A, Weber CD, Jeromin S, Zimmermann F, McCann PA, Hildebrand F, Pape HC. Contrast enhanced ultrasound (CEUS) reliably detects critical perfusion changes in compartmental muscle: a model in healthy volunteers. Eur J Trauma Emerg Surg 2014; 40:535-9. [DOI: 10.1007/s00068-014-0443-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 08/05/2014] [Indexed: 10/24/2022]
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20
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Truger MS, Jeromin S, Weissmann S, Dicker F, Kern W, Schnittger S, Haferlach T, Haferlach C. Accumulation of adverse prognostic markers worsens prognosis in chronic lymphocytic leukaemia. Br J Haematol 2014; 168:153-6. [DOI: 10.1111/bjh.13077] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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21
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Weber S, Alpermann T, Dicker F, Jeromin S, Nadarajah N, Eder C, Fasan A, Kohlmann A, Meggendorfer M, Haferlach C, Kern W, Haferlach T, Schnittger S. BAALC expression: a suitable marker for prognostic risk stratification and detection of residual disease in cytogenetically normal acute myeloid leukemia. Blood Cancer J 2014; 4:e173. [PMID: 24413067 PMCID: PMC3913940 DOI: 10.1038/bcj.2013.71] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Accepted: 11/25/2013] [Indexed: 12/14/2022] Open
Abstract
High brain and acute leukemia, cytoplasmic (BAALC) expression defines an important risk factor in cytogenetically normal acute myeloid leukemia (CN-AML). The prognostic value of BAALC expression in relation to other molecular prognosticators was analyzed in 326 CN-AML patients (<65 years). At diagnosis, high BAALC expression was associated with prognostically adverse mutations: FLT3 internal tandem duplication (FLT3-ITD) with an FLT3-ITD/FLT3 wild-type (wt) ratio of ⩾0.5 (P=0.001), partial tandem duplications within the MLL gene (MLL-PTD) (P=0.002), RUNX1 mutations (mut) (P<0.001) and WT1mut (P=0.001), while it was negatively associated with NPM1mut (P<0.001). However, high BAALC expression was also associated with prognostically favorable biallelic CEBPA (P=0.001). Survival analysis revealed an independent adverse prognostic impact of high BAALC expression on overall survival (OS) and event-free survival (EFS), and also on OS when eliminating the effect of allogeneic stem cell transplantation (SCT) (OSTXcens). Furthermore, we analyzed BAALC expression in 416 diagnostic and follow-up samples of 66 patients. During follow-up, BAALC expression correlated with mutational load or expression levels, respectively, of other minimal residual disease markers: FLT3-ITD (r=0.650, P<0.001), MLL-PTD (r=0.728, P<0.001), NPM1mut (r=0.599, P<0.001) and RUNX1mut (r=0.889, P<0.001). Moreover, a reduction in BAALC expression after the second cycle of induction chemotherapy was associated with improved EFS. Thus, our data underline the utility of BAALC expression as a marker for prognostic risk stratification and detection of residual disease in CN-AML.
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Affiliation(s)
- S Weber
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Alpermann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - F Dicker
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - S Jeromin
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - N Nadarajah
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - C Eder
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Fasan
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Kohlmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | | | - C Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - W Kern
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
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Jeromin S, Weissmann S, Haferlach C, Dicker F, Bayer K, Grossmann V, Alpermann T, Roller A, Kohlmann A, Haferlach T, Kern W, Schnittger S. SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients. Leukemia 2014; 28:108-17. [PMID: 24113472 DOI: 10.1038/leu.2013.263] [Citation(s) in RCA: 181] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 09/06/2013] [Indexed: 02/06/2023]
Abstract
We analyzed a large cohort of 1160 untreated CLL patients for novel genetic markers (SF3B1, NOTCH1, FBXW7, MYD88, XPO1) in the context of molecular, immunophenotypic and cytogenetic data. NOTCH1 mutations (mut) (12.3%), SF3B1mut (9.0%) and TP53mut (7.1%) were more frequent than XPO1mut (3.4%), FBXW7mut (2.5%) and MYD88mut (1.5%). SF3B1mut, NOTCH1mut, TP53mut and XPO1mut were highly correlated to unmutated, whereas MYD88mut were associated with mutated IGHV status. Associations of diverse cytogenetic aberrations and mutations emerged: (1) SF3B1mut with del(11q), (2) NOTCH1mut and FBXW7mut with trisomy 12 and nearly exclusiveness of SF3B1mut, (3) MYD88mut with del(13q) sole and low frequencies of SF3B1mut, NOTCH1mut and FBXW7mut. In patients with normal karyotype only SF3B1mut were frequent, whereas NOTCH1mut rarely occurred. An adverse prognostic impact on time to treatment (TTT) and overall survival (OS) was observed for SF3B1mut, NOTCH1mut and TP53 disruption. In multivariate analyses SF3B1mut, IGHV mutational status and del(11q) were the only independent genetic markers for TTT, whereas for OS SF3B1mut, IGHV mutational status and TP53 disruption presented with significant impact. Finally, our data suggest that analysis of gene mutations refines the risk stratification of cytogenetic prognostic subgroups and confirms data of a recently proposed model integrating molecular and cytogenetic data.
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MESH Headings
- Adult
- Aged
- Cell Cycle Proteins/genetics
- F-Box Proteins/genetics
- F-Box-WD Repeat-Containing Protein 7
- Female
- Genes, p53
- Genetic Predisposition to Disease
- Humans
- Immunophenotyping
- Karyopherins/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Male
- Middle Aged
- Mutation
- Myeloid Differentiation Factor 88/genetics
- Phosphoproteins/genetics
- Prognosis
- RNA Splicing Factors
- Receptor, Notch1/genetics
- Receptors, Cytoplasmic and Nuclear/genetics
- Ribonucleoprotein, U2 Small Nuclear/genetics
- Ubiquitin-Protein Ligases/genetics
- Exportin 1 Protein
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Affiliation(s)
- S Jeromin
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - S Weissmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - C Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - F Dicker
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - K Bayer
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - V Grossmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Alpermann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Roller
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Kohlmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - W Kern
- MLL Munich Leukemia Laboratory, Munich, Germany
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Bacher U, Haferlach T, Schnittger S, Zenger M, Meggendorfer M, Jeromin S, Roller A, Grossmann V, Krauth MT, Alpermann T, Kern W, Haferlach C. Investigation of 305 patients with myelodysplastic syndromes and 20q deletion for associated cytogenetic and molecular genetic lesions and their prognostic impact. Br J Haematol 2013; 164:822-33. [PMID: 24372512 DOI: 10.1111/bjh.12710] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Accepted: 11/25/2013] [Indexed: 11/28/2022]
Abstract
In patients with myelodysplastic syndromes (MDS), sole 20q deletion [del(20q)] is a recurrent favourable abnormality. We studied additional molecular and cytogenetic lesions and their prognostic impact in 305 MDS patients with del(20q) (229 males/76 females; 29-90 years). All patients were investigated by cytomorphology and chromosome banding analysis (CBA), subsets by fluorescence in situ hybridization, molecular mutation screening, and array comparative genomic hybridization (aCGH). By aCGH (n = 30), the minimal common deleted region (CDR) was flanked by PTPRT (20q13·11) and EYA2 (20q13·12). 210 (68·9%) patients had 'early MDS' without blast increase, 95 (31·1%) 'advanced' MDS with blast increase (5-19%). Additional chromosomal abnormalities (ACAs) were detected in 88/305 (28·9%) patients. Patients with advanced MDS more frequently had ACAs (P = 0·003) and had a higher mean number of ACAs (P = 0·020) and of molecular mutations (P = 0·060). Spliceosome mutations were frequent (U2AF1: n = 31/155; 20·0%; SRSF2: n = 31/159; 19·5%; SF3B1mut: n = 8/159; 5·0%). ASXL1mut (25/153; 16·3%) were associated with advanced MDS (P = 0·001). Presence of ≥3 ACAs (P = 0·003) and ASXL1mut (P = 0·002) were associated with worse 2-year survival. In conclusion, the cytogenetic subgroup of MDS with del(20q) has a good prognosis but may be further subclassified by additional cytogenetic and molecular lesions. U2AF1mut is overrepresented in MDS with del(20q), and ASXL1mut is prognostically adverse.
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Fasan A, Haferlach C, Alpermann T, Jeromin S, Grossmann V, Eder C, Weissmann S, Dicker F, Kohlmann A, Schindela S, Kern W, Haferlach T, Schnittger S. The role of different genetic subtypes of CEBPA mutated AML. Leukemia 2013; 28:794-803. [PMID: 24056881 DOI: 10.1038/leu.2013.273] [Citation(s) in RCA: 111] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 09/06/2013] [Indexed: 11/09/2022]
Abstract
The prognostic impact of mutations in the CCAAT/enhancer binding protein α (CEBPA) gene was evaluated in the context of concomitant molecular mutations and cytogenetic aberrations in acute myeloid leukemia (AML). CEBPA was screened in a cohort of 2296 adult AML cases. Of 244 patients (10.6%) with CEBPA mutations, 140 cases (6.1%) were single-mutated (CEBPAsm) and 104 cases (4.5%) were double-mutated (CEBPAdm). Cytogenetic analysis revealed normal karyotype in 172/244 (70.5%) of CEBPAmut cases, whereas in 72/244 cases (29.5%) at least one cytogenetic aberration was detected. Concurrent molecular mutations were seen less frequently in CEBPAdm than in CEBPAsm AML cases (69.2% vs 88.6% P<0.001). In detail, the spectrum of concurrent mutations was different in both groups with the frequent occurrence of GATA1 and WT1 mutations in CEBPAdm patients. In contrast, FLT3-ITD, NPM1, ASXL1 and RUNX1 mutations were detected more frequently in CEBPAsm cases. Favorable outcome was restricted to CEBPAdm cases and remained an independent prognostic factor for a favorable outcome in multivariate analysis (hazard ratio: 0.438, P=0.020). Outcome in CEBPAsm cases strongly depended on concurrent FLT3-ITD. In conclusion, we propose that only CEBPAdm should be considered as an entity in the WHO classification of AML and should be clearly distinguished from CEBPAsm AML.
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Affiliation(s)
- A Fasan
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - C Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Alpermann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - S Jeromin
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - V Grossmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - C Eder
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - S Weissmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - F Dicker
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - A Kohlmann
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - S Schindela
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - W Kern
- MLL Munich Leukemia Laboratory, Munich, Germany
| | - T Haferlach
- MLL Munich Leukemia Laboratory, Munich, Germany
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Weissmann S, Roller A, Jeromin S, Hernández M, Abáigar M, Hernández-Rivas JM, Grossmann V, Haferlach C, Kern W, Haferlach T, Schnittger S, Kohlmann A. Prognostic impact and landscape of NOTCH1 mutations in chronic lymphocytic leukemia (CLL): a study on 852 patients. Leukemia 2013; 27:2393-6. [PMID: 23860447 DOI: 10.1038/leu.2013.218] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- S Weissmann
- MLL Munich Leukemia Laboratory, Munich, Germany
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26
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Jeromin S, Dicker F, Meggendorfer M, Eder C, Grossmann V, Kohlmann A, Kern W, Haferlach C, Haferlach T, Schnittger S. O-006 SF3B1 mutations in MDS subgroups and s-AML and their association with cytogenetics and other molecular markers. Leuk Res 2013. [DOI: 10.1016/s0145-2126(13)70028-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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27
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Bacher U, Haferlach T, Grossmann V, Zenger M, Alpermann T, Meggendorfer M, Jeromin S, Kern W, Schnittger S, Haferlach C. P-053 Characterization of 305 patients with myelodysplastic syndromes and 20q-deletion: Cytomorphological features, and concomitant cytogenetic and molecular genetic alterations. Leuk Res 2013. [DOI: 10.1016/s0145-2126(13)70102-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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28
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Broséus J, Alpermann T, Wulfert M, Florensa Brichs L, Jeromin S, Lippert E, Rozman M, Lifermann F, Grossmann V, Haferlach T, Germing U, Luño E, Girodon F, Schnittger S. Age, JAK2V617F and SF3B1 mutations are the main predicting factors for survival in refractory anaemia with ring sideroblasts and marked thrombocytosis. Leukemia 2013; 27:1826-31. [DOI: 10.1038/leu.2013.120] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Accepted: 04/10/2013] [Indexed: 01/05/2023]
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Jeromin S, Haferlach T, Grossmann V, Alpermann T, Kowarsch A, Haferlach C, Kern W, Schnittger S. High frequencies of SF3B1 and JAK2 mutations in refractory anemia with ring sideroblasts associated with marked thrombocytosis strengthen the assignment to the category of myelodysplastic/myeloproliferative neoplasms. Haematologica 2012; 98:e15-7. [PMID: 22929973 DOI: 10.3324/haematol.2012.072538] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
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30
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Grossmann V, Kern W, Harbich S, Alpermann T, Jeromin S, Schnittger S, Haferlach C, Haferlach T, Kohlmann A. Prognostic relevance of RUNX1 mutations in T-cell acute lymphoblastic leukemia. Haematologica 2011; 96:1874-7. [PMID: 21828118 DOI: 10.3324/haematol.2011.043919] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The runt-related transcription factor 1, RUNX1, is crucial in the development of myeloid and lymphoid cell lineages and has been reported to be mutated in myeloid malignancies in approximately 30% of cases. In this study, the mutational status of RUNX1 was investigated in 128 acute lymphoblastic leukemia patients. We detected a mutation rate of 18.3% (13 of 71) in patients with T-cell acute lymphoblastic leukemia, 3.8% (2 of 52) in patients with B-cell acute lymphoblastic leukemia and no mutation (0 of 5) in patients with natural killer cell leukemia, respectively. In T-cell acute lymphoblastic leukemia patients, RUNX1 mutations were significantly associated with higher age (P=0.017) and lower white blood cell count (P=0.038). Moreover, an inferior outcome was observed in the subgroup of early T-cell acute lymphoblastic leukemia patients carrying RUNX1 mutations for overall survival (P=0.043). In conclusion, RUNX1 mutations are an important novel biomarker for a comprehensive characterization of T-cell acute lymphoblastic leukemia with poor prognostic impact and have implications for use also in monitoring disease.
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Affiliation(s)
- Vera Grossmann
- MLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377 Munich, Germany.
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