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Vainer N, Rotbain Curovic V, Niemann CU, Slager SL, Rotbain EC. Understanding the interplay between chronic lymphocytic leukemia and type 2 diabetes. Expert Rev Hematol 2024; 17:617-629. [PMID: 39041465 DOI: 10.1080/17474086.2024.2383417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 07/18/2024] [Indexed: 07/24/2024]
Abstract
INTRODUCTION Comorbidities play an important role in the management of chronic lymphocytic leukemia (CLL) and may influence survival and treatment outcomes. Considering the aging general population and increasing incidence of type 2 diabetes (T2D), a comprehensive understanding of the interplay between CLL and T2D is essential for optimizing care and outcomes. AREAS COVERED We present current knowledge on co-existing CLL and T2D including prevalence, shared etiology and risk factors and how the conditions and treatment hereof may influence the outcome of one another. A literature search was performed using PubMed with the cutoff date on 1 February 2024. EXPERT OPINION The increased mortality observed in persons with CLL who have co-existing T2D is partially ascribed to infections, prompting physicians managing individuals with both conditions to consider closer monitoring during instances of infection and individualized prophylaxis. People with CLL and T2D should be managed for CLL in accordance with the international working group on CLL criteria, and we recommend that physicians exercise particular care not to delay treatment for these individuals. Multidisciplinary approaches with involvement of several specialties may be required for optimal supportive care of co-occurring T2D and CLL.
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Affiliation(s)
- Noomi Vainer
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Hematology Group, Danish Cancer Institute, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Carsten Utoft Niemann
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Susan L Slager
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Emelie Curovic Rotbain
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Hematology Group, Danish Cancer Institute, Copenhagen, Denmark
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Lee CH, Wu YY, Huang TC, Lin C, Zou YF, Cheng JC, Chen PH, Jhou HJ, Ho CL. Maintenance therapy for chronic lymphocytic leukaemia. Cochrane Database Syst Rev 2024; 1:CD013474. [PMID: 38174814 PMCID: PMC10765471 DOI: 10.1002/14651858.cd013474.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
BACKGROUND Chronic lymphocytic leukaemia (CLL) is the most common lymphoproliferative disease in adults and currently remains incurable. As the progression-free period shortens after each successive treatment, strategies such as maintenance therapy are needed to improve the degree and duration of response to previous therapies. Monoclonal antibodies, immunomodulatory agents, and targeted therapies are among the available options for maintenance therapy. People with CLL who achieve remission after previous therapy may choose to undergo medical observation or maintenance therapy to deepen the response. Even though there is widespread use of therapeutic maintenance agents, the benefits and harms of these treatments are still uncertain. OBJECTIVES To assess the effects and safety of maintenance therapy, including anti-CD20 monoclonal antibody, immunomodulatory drug therapy, anti-CD52 monoclonal antibody, Bruton tyrosine kinase inhibitor, and B-cell lymphoma-2 tyrosine kinase inhibitor, for individuals with CLL. SEARCH METHODS We conducted a comprehensive literature search for randomised controlled trials (RCTs) with no language or publication status restrictions. We searched CENTRAL, MEDLINE, Embase, and three trials registers in January 2022 together with reference checking, citation searching, and contact with study authors to identify additional studies. SELECTION CRITERIA We included RCTs with prospective identification of participants. We excluded cluster-randomised trials, cross-over trial designs, and non-randomised studies. We included studies comparing maintenance therapies with placebo/observation or head-to-head comparisons. DATA COLLECTION AND ANALYSIS We used standard Cochrane methodological procedures. We assessed risk of bias in the included studies using Cochrane's RoB 1 tool for RCTs. We rated the certainty of evidence for the following outcomes using the GRADE approach: overall survival (OS), health-related quality of life (HRQoL), grade 3 and 4 adverse events (AEs), progression-free survival (PFS), treatment-related mortality (TRM), treatment discontinuation (TD), and all adverse events (AEs). MAIN RESULTS We identified 11 RCTs (2393 participants) that met the inclusion criteria, including seven trials comparing anti-CD20 monoclonal antibodies (mAbs) (rituximab or ofatumumab) with observation in 1679 participants; three trials comparing immunomodulatory drug (lenalidomide) with placebo/observation in 693 participants; and one trial comparing anti-CD 52 mAbs (alemtuzumab) with observation in 21 participants. No comparisons of novel small molecular inhibitors were found. The median age of participants was 54.1 to 71.7 years; 59.5% were males. The type of previous induction treatment, severity of disease, and baseline stage varied among the studies. Five trials included early-stage symptomatic patients, and three trials included advanced-stage patients (Rai stage III/IV or Binet stage B/C). Six trials reported a frequent occurrence of cytogenic aberrations at baseline (69.7% to 80.1%). The median follow-up duration was 12.4 to 73 months. The risk of selection bias in the included studies was unclear. We assessed overall risk of performance bias and detection bias as low risk for objective outcomes and high risk for subjective outcomes. Overall risk of attrition bias, reporting bias, and other bias was low. Anti-CD20 monoclonal antibodies (mAbs): rituximab or ofatumumab maintenance versus observation Anti-CD20 mAbs maintenance likely results in little to no difference in OS (hazard ratio (HR) 0.94, 95% confidence interval (CI) 0.73 to 1.20; 1152 participants; 3 studies; moderate-certainty evidence) and likely increases PFS significantly (HR 0.61, 95% CI 0.50 to 0.73; 1255 participants; 5 studies; moderate-certainty evidence) compared to observation alone. Anti-CD20 mAbs may result in: an increase in grade 3/4 AEs (rate ratio 1.34, 95% CI 1.06 to 1.71; 1284 participants; 5 studies; low-certainty evidence); little to no difference in TRM (risk ratio 0.82, 95% CI 0.39 to 1.71; 1189 participants; 4 studies; low-certainty evidence); a slight reduction to no difference in TD (risk ratio 0.93, 95% CI 0.72 to 1.20; 1321 participants; 6 studies; low-certainty evidence); and an increase in all AEs (rate ratio 1.23, 95% CI 1.03 to 1.47; 1321 participants; 6 studies; low-certainty evidence) compared to the observation group. One RCT reported that there may be no difference in HRQoL between the anti-CD20 mAbs (ofatumumab) maintenance and the observation group (mean difference -1.70, 95% CI -8.59 to 5.19; 480 participants; 1 study; low-certainty evidence). Immunomodulatory drug (IMiD): lenalidomide maintenance versus placebo/observation IMiD maintenance therapy likely results in little to no difference in OS (HR 0.91, 95% CI 0.61 to 1.35; 461 participants; 3 studies; moderate-certainty evidence) and likely results in a large increase in PFS (HR 0.37, 95% CI 0.19 to 0.73; 461 participants; 3 studies; moderate-certainty evidence) compared to placebo/observation. Regarding harms, IMiD maintenance therapy may result in an increase in grade 3/4 AEs (rate ratio 1.82, 95% CI 1.38 to 2.38; 400 participants; 2 studies; low-certainty evidence) and may result in a slight increase in TRM (risk ratio 1.22, 95% CI 0.35 to 4.29; 458 participants; 3 studies; low-certainty evidence) compared to placebo/observation. The evidence for the effect on TD compared to placebo is very uncertain (risk ratio 0.71, 95% CI 0.47 to 1.05; 400 participants; 2 studies; very low-certainty evidence). IMiD maintenance therapy probably increases all AEs slightly (rate ratio 1.41, 95% CI 1.28 to 1.54; 458 participants; 3 studies; moderate-certainty evidence) compared to placebo/observation. No studies assessed HRQoL. Anti-CD52 monoclonal antibodies (mAbs): alemtuzumab maintenance versus observation Maintenance with alemtuzumab may have little to no effect on PFS, but the evidence is very uncertain (HR 0.55, 95% CI 0.32 to 0.95; 21 participants; 1 study; very low-certainty evidence). We did not identify any study reporting the outcomes OS, HRQoL, grade 3/4 AEs, TRM, TD, or all AEs. AUTHORS' CONCLUSIONS There is currently moderate- to very low-certainty evidence available regarding the benefits and harms of maintenance therapy in people with CLL. Anti-CD20 mAbs maintenance improved PFS, but also increased grade 3/4 AEs and all AEs. IMiD maintenance had a large effect on PFS, but also increased grade 3/4 AEs. However, none of the above-mentioned maintenance interventions show differences in OS between the maintenance and control groups. The effects of alemtuzumab maintenance are uncertain, coupled with a warning for drug-related infectious toxicity. We found no studies evaluating other novel maintenance interventions, such as B-cell receptor inhibitors, B-cell leukaemia-2/lymphoma-2 inhibitors, or obinutuzumab.
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Affiliation(s)
- Cho-Hao Lee
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yi-Ying Wu
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Tzu-Chuan Huang
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chin Lin
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Yi-Fen Zou
- Department of Pharmacy, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ju-Chun Cheng
- Department of Pharmacy, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Po-Huang Chen
- Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Hong-Jie Jhou
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ching-Liang Ho
- Division of Hematology and Oncology Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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Williamson SF, Grayling MJ, Mander AP, Noor NM, Savage JS, Yap C, Wason JMS. Subgroup analyses in randomized controlled trials frequently categorized continuous subgroup information. J Clin Epidemiol 2022; 150:72-79. [PMID: 35788399 DOI: 10.1016/j.jclinepi.2022.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND AND OBJECTIVES To investigate how subgroup analyses of published Randomized Controlled Trials (RCTs) are performed when subgroups are created from continuous variables. METHODS We carried out a review of RCTs published in 2016-2021 that included subgroup analyses. Information was extracted on whether any of the subgroups were based on continuous variables and, if so, how they were analyzed. RESULTS Out of 428 reviewed papers, 258 (60.4%) reported RCTs with a subgroup analysis. Of these, 178/258 (69%) had at least one subgroup formed from a continuous variable and 14/258 (5.4%) were unclear. The vast majority (169/178, 94.9%) dichotomized the continuous variable and treated the subgroup as categorical. The most common way of dichotomizing was using a pre-specified cutpoint (129/169, 76.3%), followed by a data-driven cutpoint (26/169, 15.4%), such as the median. CONCLUSION It is common for subgroup analyses to use continuous variables to define subgroups. The vast majority dichotomize the continuous variable and, consequently, may lose substantial amounts of statistical information (equivalent to reducing the sample size by at least a third). More advanced methods that can improve efficiency, through optimally choosing cutpoints or directly using the continuous information, are rarely used.
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Affiliation(s)
- S Faye Williamson
- Biostatistics Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael J Grayling
- Biostatistics Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Nurulamin M Noor
- Medical Research Council Clinical Trials Unit at University College London (MRC CTU at UCL), London, UK
| | - Joshua S Savage
- Cancer Research UK Clinical Trials Unit (CRCTU), Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Christina Yap
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - James M S Wason
- Biostatistics Research Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
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Vanura K. Sex as decisive variable in lymphoid neoplasms-an update. ESMO Open 2020; 6:100001. [PMID: 33399069 PMCID: PMC7808098 DOI: 10.1016/j.esmoop.2020.100001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/09/2020] [Accepted: 10/31/2020] [Indexed: 01/26/2023] Open
Affiliation(s)
- K Vanura
- Department of Medicine I, Division of Haematology and Haemostaseology, Medical University of Vienna, Vienna, Austria.
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5
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Fürstenau M, Hopfinger G, Robrecht S, Fink AM, Al-Sawaf O, Langerbeins P, Cramer P, Tresckow JV, Maurer C, Kutsch N, Hoechstetter M, Dreyling M, Lange E, Kneba M, Stilgenbauer S, Döhner H, Hensel M, Kiehl MG, Jaeger U, Wendtner CM, Goede V, Fischer K, von Bergwelt-Baildon M, Eichhorst B, Hallek M, Theurich S. Influence of obesity and gender on treatment outcomes in patients with chronic lymphocytic leukemia (CLL) undergoing rituximab-based chemoimmunotherapy. Leukemia 2019; 34:1177-1181. [PMID: 31728057 DOI: 10.1038/s41375-019-0630-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 10/14/2019] [Accepted: 11/03/2019] [Indexed: 11/09/2022]
Affiliation(s)
- Moritz Fürstenau
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany.
| | - Georg Hopfinger
- Department of Internal Medicine I, Bone Marrow Transplantation, Medical University of Vienna, Vienna, Austria
| | - Sandra Robrecht
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Anna-Maria Fink
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Othman Al-Sawaf
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Petra Langerbeins
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Paula Cramer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Julia Von Tresckow
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Christian Maurer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Nadine Kutsch
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Manuela Hoechstetter
- Department of Hematology, Oncology, Immunology, Palliative Care, Infectious Diseases and Tropical Medicine, München Klinik Schwabing, Munich, Germany
| | - Martin Dreyling
- Department of Medicine III, University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany
| | | | - Michael Kneba
- Department II of Internal Medicine, University of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Stephan Stilgenbauer
- Department of Internal Medicine III, University Hospital Ulm, Ulm, Germany.,Department of Hematology, Oncology and Rheumatology and José Carreras Center for Immuno and Gene Therapy, Saarland University Medical School, Homburg/Saar, Germany
| | - Hartmut Döhner
- Department of Internal Medicine III, University Hospital Ulm, Ulm, Germany
| | | | - Michael G Kiehl
- Department of Internal Medicine, Frankfurt (Oder) General Hospital, Frankfurt/Oder, Germany
| | - Ulrich Jaeger
- Department of Medicine I, Clinical Division of Hematology and Hemostaseology and Comprehensive Cancer Center (CCC), Medical University of Vienna, Vienna, Austria
| | - Clemens-Martin Wendtner
- Department of Hematology, Oncology, Immunology, Palliative Care, Infectious Diseases and Tropical Medicine, München Klinik Schwabing, Munich, Germany
| | - Valentin Goede
- Oncogeriatric Unit, Department of Geriatric Medicine, St. Marien Hospital, Cologne, Germany
| | - Kirsten Fischer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | | | - Barbara Eichhorst
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Michael Hallek
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany
| | - Sebastian Theurich
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, CECAD Cluster of Excellence, University of Cologne, Cologne, Germany. .,Department of Medicine III, University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany. .,Gene Center, Cancer- and Immunometabolism Research Group, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.
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Egle A, Melchardt T, Obrtlíková P, Smolej L, Kozák T, Steurer M, Andel J, Burgstaller S, Mikušková E, Gercheva L, Nösslinger T, Papajík T, Ladická M, Girschikofsky M, Hrubiško M, Jäger U, Voskova D, Pecherstorfer M, Králiková E, Burcoveanu C, Spasov E, Petzer A, Mihaylov G, Raynov J, Oexle H, Zabernigg A, Flochová E, Palášthy S, Stehlíková O, Doubek M, Altenhofer P, Weiss L, Magnes T, Pleyer L, Klingler A, Mayer J, Greil R. Rituximab maintenance overcomes the negative prognostic factor of obesity in CLL: Subgroup analysis of the international randomized AGMT CLL-8a mabtenance trial. Cancer Med 2019; 8:1401-1405. [PMID: 30888118 PMCID: PMC6488104 DOI: 10.1002/cam4.1980] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/18/2018] [Accepted: 12/27/2018] [Indexed: 11/29/2022] Open
Abstract
No data are available regarding obesity and outcome in Chronic Lymphocytic Leukemia (CLL). We analyzed 263 patients from the AGMT CLL‐8a Mabtenance trial for the impact of obesity. The trial included patients after rituximab‐containing induction treatment in first or second line that had achieved at least a PR. A randomization to rituximab maintenance treatment (375 mg/m2 q3 months for 2 years) vs observation was performed. In this cohort 22% of the patients (58/263) were classified as obese. The baseline response to induction treatment was inferior in obese patients with a lower CR rate (43.1% vs 60.5% in obese vs non‐obese, P = 0.018) and with a lower rate of patients achieving MRD negativity after chemoimmunotherapy induction treatment (19.6% vs 35.8%, P = 0.02). The PFS outcome of obese patients was significantly worse in the observation group of the trial (24 vs 39 months median PFS, P = 0.03). However, in the rituximab maintenance group the outcome for obese vs non‐obese was not different (P = 0.4). In summary, obesity was overall associated with a worse outcome of chemoimmunotherapy induction. However, rituximab maintenance treatment seems to be able to overcome this negative effect.
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Affiliation(s)
- Alexander Egle
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Thomas Melchardt
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Petra Obrtlíková
- First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, Prague, Czech Republic
| | - Lukáš Smolej
- Fourth Department of Internal Medicine - Hematology, Faculty of Medicine in Hradec Králové, University Hospital and Charles University in Prague, Hradec Králové, Czech Republic
| | - Tomáš Kozák
- Department of Internal Medicine - Hematology, University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Michael Steurer
- Department of Internal Medicine V, Medical University Innsbruck, Innsbruck, Austria
| | | | - Sonja Burgstaller
- Department of Internal Medicine IV, Klinikum Wels-Grieskirchen GmbH, Wels, Austria
| | - Eva Mikušková
- Department of Hemato-oncology 2, National Cancer Institute Bratislava, Bratislava, Slovakia
| | - Liana Gercheva
- Clinic of Hematology, University Hospital St Marina Varna, Varna, Bulgaria
| | - Thomas Nösslinger
- Third Medical Department for Hematology and Oncology, Hanusch Krankenhaus der Wiener Gebietskrankenkasse, Vienna, Austria
| | - Tomáš Papajík
- Department of Hemato-oncology, University Hospital Olomouc, Olomouc, Czech Republic
| | - Miriam Ladická
- Department of Clinical Oncology 1, National Cancer Institute Bratislava, Bratislava, Slovakia
| | | | - Mikuláš Hrubiško
- Clinic of Hematology and Transfusiology, Slovak Medical University, University Hospital Bratislava, Bratislava, Slovakia
| | - Ulrich Jäger
- Department of Medicine I, Division of Hematology and Hemostaeology, Medical University Vienna, Vienna, Austria
| | - Daniela Voskova
- Department of Internal Medicine 3, Kepler Universitätsklinikum GmbH, Med Campus III., Linz, Austria
| | - Martin Pecherstorfer
- Department of Internal Medicine 2, University Hospital Krems, Karl Landsteiner Private University of Health Sciences, Krems, Austria
| | - Eva Králiková
- Department of Hematology, FNsP F D Roosevelta Banská Bystrica, Banska Bystrica, Slovakia
| | | | - Emil Spasov
- Clinic of Hematology, UMHAT St George and Medical University Plovdiv, Plovdiv, Bulgaria
| | - Andreas Petzer
- Innere Medizin I, Ordensklinikum Linz GmbH, Linz, Austria
| | - Georgi Mihaylov
- Hematological Clinic NSHATHD Sofia, Queen Joanna University Hospital, Sofia, Bulgaria
| | - Julian Raynov
- Clinic of Medical Hematology, Military Medical Academy Sofia, Sofia, Bulgaria
| | - Horst Oexle
- Innere Medizin, Landeskrankenhaus Hall, Hall in Tirol, Austria
| | - August Zabernigg
- Innere Medizin II, Bezirkskrankenhaus Kufstein, Kufstein, Austria
| | - Emília Flochová
- Department of Hematology and Transfusion, University Hospital Martin, Martin, Slovakia
| | - Stanislav Palášthy
- Department of Clinical Hematology, FNsP, J A Reimana Prešov, Prešov, Slovakia
| | - Olga Stehlíková
- Faculty of Medicine and CEITEC, University Hospital Brno, Brno, Czech Republic
| | - Michael Doubek
- Faculty of Medicine and CEITEC, University Hospital Brno, Brno, Czech Republic
| | - Petra Altenhofer
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Lukas Weiss
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Teresa Magnes
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Lisa Pleyer
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
| | - Anton Klingler
- Assign Data Management and Biostatistics GmbH, Innsbruck, Austria
| | - Jiří Mayer
- Faculty of Medicine and CEITEC, University Hospital Brno, Brno, Czech Republic
| | - Richard Greil
- Third Medical Department, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute (SCRI), Salzburg, Austria.,Cancer Cluster Salzburg (CCS), Salzburg, Austria
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