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Winer ES, Stone RM. AML in the Elderly - When less may be more. Curr Oncol Rep 2024:10.1007/s11912-024-01604-8. [PMID: 39417945 DOI: 10.1007/s11912-024-01604-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2024] [Indexed: 10/19/2024]
Abstract
PURPOSE OF REVIEW We herein assess the distinct biological and clinical features of AML in older patients. We emphasize the importance of pre-treatment assessment to individualize care but note the changing treatment paradigm from intensive towards non-intensive therapy. RECENT FINDING Geriatric assessments and genetic data provide predictive information that guides treatment. During the past decade the FDA approved at least nine new targeted therapies, mostly small molecule inhibitors, in AML patients of all ages. These agents have created novel therapeutic options for this poorly chemo tolerant population whose AML tends to be intrinsically resistant to such therapy. Older AML patients may now be treated with less toxic therapy that provides similar, if not superior, efficacy compared with conventional chemotherapy. Although TP53 mutant AML remains a particular unmet need, additional novel agents on the horizon provide hope for improving outcomes for older adults with AML.
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Affiliation(s)
- Eric S Winer
- Dana-Farber Cancer Center, 450 Brookline Ave, Boston, MA, 02215, USA.
| | - Richard M Stone
- Dana-Farber Cancer Center, 450 Brookline Ave, Boston, MA, 02215, USA
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2
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Eckardt JN, Hahn W, Röllig C, Stasik S, Platzbecker U, Müller-Tidow C, Serve H, Baldus CD, Schliemann C, Schäfer-Eckart K, Hanoun M, Kaufmann M, Burchert A, Thiede C, Schetelig J, Sedlmayr M, Bornhäuser M, Wolfien M, Middeke JM. Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. NPJ Digit Med 2024; 7:76. [PMID: 38509224 PMCID: PMC10954666 DOI: 10.1038/s41746-024-01076-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 03/07/2024] [Indexed: 03/22/2024] Open
Abstract
Clinical research relies on high-quality patient data, however, obtaining big data sets is costly and access to existing data is often hindered by privacy and regulatory concerns. Synthetic data generation holds the promise of effectively bypassing these boundaries allowing for simplified data accessibility and the prospect of synthetic control cohorts. We employed two different methodologies of generative artificial intelligence - CTAB-GAN+ and normalizing flows (NFlow) - to synthesize patient data derived from 1606 patients with acute myeloid leukemia, a heterogeneous hematological malignancy, that were treated within four multicenter clinical trials. Both generative models accurately captured distributions of demographic, laboratory, molecular and cytogenetic variables, as well as patient outcomes yielding high performance scores regarding fidelity and usability of both synthetic cohorts (n = 1606 each). Survival analysis demonstrated close resemblance of survival curves between original and synthetic cohorts. Inter-variable relationships were preserved in univariable outcome analysis enabling explorative analysis in our synthetic data. Additionally, training sample privacy is safeguarded mitigating possible patient re-identification, which we quantified using Hamming distances. We provide not only a proof-of-concept for synthetic data generation in multimodal clinical data for rare diseases, but also full public access to synthetic data sets to foster further research.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
- Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.
| | - Waldemar Hahn
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig, Germany
- Institute for Medical Informatics and Biometry, Technical University Dresden, Dresden, Germany
| | - Christoph Röllig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Sebastian Stasik
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Uwe Platzbecker
- Medical Clinic and Policlinic I Hematology and Cell Therapy, University Hospital, Leipzig, Germany
| | | | - Hubert Serve
- Department of Medicine 2, Hematology and Oncology, Goethe University Frankfurt, Frankfurt, Germany
| | - Claudia D Baldus
- Department of Hematology and Oncology, University Hospital Schleswig Holstein, Kiel, Germany
| | | | - Kerstin Schäfer-Eckart
- Department of Internal Medicine V, Paracelsus Medizinische Privatuniversität and University Hospital Nürnberg, Nürnberg, Germany
| | - Maher Hanoun
- Department of Hematology, University Hospital Essen, Essen, Germany
| | - Martin Kaufmann
- Department of Hematology, Oncology and Palliative Care, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Andreas Burchert
- Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Christian Thiede
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Johannes Schetelig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Martin Sedlmayr
- Institute for Medical Informatics and Biometry, Technical University Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Dresden, Germany
| | - Markus Wolfien
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig, Germany
- Institute for Medical Informatics and Biometry, Technical University Dresden, Dresden, Germany
| | - Jan Moritz Middeke
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
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3
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Eckardt JN, Stasik S, Röllig C, Petzold A, Sauer T, Scholl S, Hochhaus A, Crysandt M, Brümmendorf TH, Naumann R, Steffen B, Kunzmann V, Einsele H, Schaich M, Burchert A, Neubauer A, Schäfer-Eckart K, Schliemann C, Krause SW, Herbst R, Hänel M, Hanoun M, Kaiser U, Kaufmann M, Rácil Z, Mayer J, Oelschlägel U, Berdel WE, Ehninger G, Serve H, Müller-Tidow C, Platzbecker U, Baldus CD, Dahl A, Schetelig J, Bornhäuser M, Middeke JM, Thiede C. Mutated IKZF1 is an independent marker of adverse risk in acute myeloid leukemia. Leukemia 2023; 37:2395-2403. [PMID: 37833543 PMCID: PMC10681898 DOI: 10.1038/s41375-023-02061-1] [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: 05/28/2023] [Revised: 09/24/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023]
Abstract
Genetic lesions of IKZF1 are frequent events and well-established markers of adverse risk in acute lymphoblastic leukemia. However, their function in the pathophysiology and impact on patient outcome in acute myeloid leukemia (AML) remains elusive. In a multicenter cohort of 1606 newly diagnosed and intensively treated adult AML patients, we found IKZF1 alterations in 45 cases with a mutational hotspot at N159S. AML with mutated IKZF1 was associated with alterations in RUNX1, GATA2, KRAS, KIT, SF3B1, and ETV6, while alterations of NPM1, TET2, FLT3-ITD, and normal karyotypes were less frequent. The clinical phenotype of IKZF1-mutated AML was dominated by anemia and thrombocytopenia. In both univariable and multivariable analyses adjusting for age, de novo and secondary AML, and ELN2022 risk categories, we found mutated IKZF1 to be an independent marker of adverse risk regarding complete remission rate, event-free, relapse-free, and overall survival. The deleterious effects of mutated IKZF1 also prevailed in patients who underwent allogeneic hematopoietic stem cell transplantation (n = 519) in both univariable and multivariable models. These dismal outcomes are only partially explained by the hotspot mutation N159S. Our findings suggest a role for IKZF1 mutation status in AML risk modeling.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
| | - Sebastian Stasik
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Christoph Röllig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Andreas Petzold
- Dresden-Concept Genome Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany
| | - Tim Sauer
- German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Sebastian Scholl
- Klinik für Innere Medizin II, Jena University Hospital, Jena, Germany
| | - Andreas Hochhaus
- Klinik für Innere Medizin II, Jena University Hospital, Jena, Germany
| | - Martina Crysandt
- Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Tim H Brümmendorf
- Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Ralph Naumann
- Medical Clinic III, St. Marien-Hospital Siegen, Siegen, Germany
| | - Björn Steffen
- Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Volker Kunzmann
- Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Hermann Einsele
- Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Markus Schaich
- Department of Hematology, Oncology and Palliative Care, Rems-Murr-Hospital Winnenden, Winnenden, Germany
| | - Andreas Burchert
- Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Andreas Neubauer
- Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Kerstin Schäfer-Eckart
- Department of Internal Medicine V, Paracelsus Medizinische Privatuniversität and University Hospital Nuremberg, Nuremberg, Germany
| | | | - Stefan W Krause
- Medical Clinic V, University Hospital Erlangen, Erlangen, Germany
| | - Regina Herbst
- Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Mathias Hänel
- Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Maher Hanoun
- Department of Hematology, University Hospital Essen, Essen, Germany
| | - Ulrich Kaiser
- Medical Clinic II, St. Bernward Hospital, Hildesheim, Germany
| | - Martin Kaufmann
- Department of Hematology, Oncology and Palliative Care, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Zdenek Rácil
- Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Jiri Mayer
- Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Uta Oelschlägel
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Wolfgang E Berdel
- Department of Medicine A, University Hospital Münster, Münster, Germany
| | - Gerhard Ehninger
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Hubert Serve
- Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Carsten Müller-Tidow
- German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Uwe Platzbecker
- Medical Clinic I Hematology and Celltherapy, University Hospital Leipzig, Leipzig, Germany
| | - Claudia D Baldus
- Department of Internal Medicine, University Hospital Kiel, Kiel, Germany
| | - Andreas Dahl
- Dresden-Concept Genome Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany
| | - Johannes Schetelig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
- DKMS Clinical Trials Unit, Dresden, Germany
| | - Martin Bornhäuser
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
- German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany
- National Center for Tumor Disease (NCT), Dresden, Germany
| | - Jan Moritz Middeke
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Christian Thiede
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
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4
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Choi JH, Shukla M, Abdul-Hay M. Acute Myeloid Leukemia Treatment in the Elderly: A Comprehensive Review of the Present and Future. Acta Haematol 2023; 146:431-457. [PMID: 37459852 DOI: 10.1159/000531628] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 06/17/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Acute myeloid leukemia (AML) is a disease of the hematopoietic system that remains a therapeutic challenge despite advances in our understanding of the underlying cancer biology in the past decade. It is also an affliction of the elderly that predominantly affects patients over 60 years of age. Standard therapy involves intensive chemotherapy that is often difficult to tolerate in older populations. Fortunately, recent developments in molecular targeting have shown promising results in treating leukemia, paving the way for novel treatment strategies that are easier to tolerate. SUMMARY Venetoclax, a BCL-2 inhibitor, when combined with a hypomethylating agent, has proven to be a highly effective and well-tolerated drug and established itself as a new standard for treating AML in patients who are unfit for standard intensive therapy. Other targeted therapies include clinically proven and FDA-approved agents, such as IDH1/2 inhibitors, FLT3 inhibitors, and Gemtuzumab, as well as newer and more experimental drugs such as magrolimab, PI-kinase inhibitors, and T-cell engaging therapy. Some of the novel agents such as magrolimab and menin inhibitors are particularly promising, providing therapeutic options to a wider population of patients than ever before. Determining who will benefit from intense or novel low-intense therapy remains a challenge, and it requires careful assessment of individual patient's fitness and disease characteristics. KEY MESSAGES This article reviews past and current treatment strategies that harness various mechanisms of leukemia-targeting agents and introduces novel therapies on the horizon aimed at exploring therapeutic options for the elderly and unfit patient population. It also provides a strategy to select the best available therapy for elderly patients with both newly diagnosed and relapsed/refractory AML.
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Affiliation(s)
- Jun H Choi
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
- Division of Hematology and Medical Oncology, New York University Perlmutter Cancer Center, New York, New York, USA
| | - Mihir Shukla
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
| | - Maher Abdul-Hay
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
- Division of Hematology and Medical Oncology, New York University Perlmutter Cancer Center, New York, New York, USA
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5
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Eckardt JN, Röllig C, Metzeler K, Heisig P, Stasik S, Georgi JA, Kroschinsky F, Stölzel F, Platzbecker U, Spiekermann K, Krug U, Braess J, Görlich D, Sauerland C, Woermann B, Herold T, Hiddemann W, Müller-Tidow C, Serve H, Baldus CD, Schäfer-Eckart K, Kaufmann M, Krause SW, Hänel M, Berdel WE, Schliemann C, Mayer J, Hanoun M, Schetelig J, Wendt K, Bornhäuser M, Thiede C, Middeke JM. Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles. COMMUNICATIONS MEDICINE 2023; 3:68. [PMID: 37198246 DOI: 10.1038/s43856-023-00298-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 05/03/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Increasingly large and complex biomedical data sets challenge conventional hypothesis-driven analytical approaches, however, data-driven unsupervised learning can detect inherent patterns in such data sets. METHODS While unsupervised analysis in the medical literature commonly only utilizes a single clustering algorithm for a given data set, we developed a large-scale model with 605 different combinations of target dimensionalities as well as transformation and clustering algorithms and subsequent meta-clustering of individual results. With this model, we investigated a large cohort of 1383 patients from 59 centers in Germany with newly diagnosed acute myeloid leukemia for whom 212 clinical, laboratory, cytogenetic and molecular genetic parameters were available. RESULTS Unsupervised learning identifies four distinct patient clusters, and statistical analysis shows significant differences in rate of complete remissions, event-free, relapse-free and overall survival between the four clusters. In comparison to the standard-of-care hypothesis-driven European Leukemia Net (ELN2017) risk stratification model, we find all three ELN2017 risk categories being represented in all four clusters in varying proportions indicating unappreciated complexity of AML biology in current established risk stratification models. Further, by using assigned clusters as labels we subsequently train a supervised model to validate cluster assignments on a large external multicenter cohort of 664 intensively treated AML patients. CONCLUSIONS Dynamic data-driven models are likely more suitable for risk stratification in the context of increasingly complex medical data than rigid hypothesis-driven models to allow for a more personalized treatment allocation and gain novel insights into disease biology.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany.
- Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.
| | - Christoph Röllig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Klaus Metzeler
- Medical Clinic and Policlinic I Hematology and Cell Therapy, University Hospital, Leipzig, Germany
| | - Peter Heisig
- Department of Software and Multimedia Technology, Technical University Dresden, Dresden, Germany
| | - Sebastian Stasik
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Julia-Annabell Georgi
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Frank Kroschinsky
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Friedrich Stölzel
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Uwe Platzbecker
- Medical Clinic and Policlinic I Hematology and Cell Therapy, University Hospital, Leipzig, Germany
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Utz Krug
- Department of Medicine III, Hospital Leverkusen, Leverkusen, Germany
| | - Jan Braess
- Hospital Barmherzige Brueder Regensburg, Regensburg, Germany
| | - Dennis Görlich
- Institute for Biostatistics and Clinical Research, University Muenster, Muenster, Germany
| | - Cristina Sauerland
- Institute for Biostatistics and Clinical Research, University Muenster, Muenster, Germany
| | - Bernhard Woermann
- Department of Hematology, Oncology and Tumor Immunology, Charité, Berlin, Germany
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Carsten Müller-Tidow
- Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany
| | - Hubert Serve
- Department of Medicine 2, Hematology and Oncology, Goethe University Frankfurt, Frankfurt, Germany
| | - Claudia D Baldus
- Department of Hematology and Oncology, University Hospital Schleswig Holstein, Kiel, Germany
| | | | - Martin Kaufmann
- Department of Hematology, Oncology and Palliative Care, Robert-Bosch Hospital, Stuttgart, Germany
| | - Stefan W Krause
- Department of Internal Medicine 5, University Hospital Erlangen, Erlangen, Germany
| | - Mathias Hänel
- Department of Internal Medicine 3, Klinikum Chemnitz GmbH, Chemnitz, Germany
| | - Wolfgang E Berdel
- Department of Internal Medicine A, University Hospital Muenster, Muenster, Germany
| | - Christoph Schliemann
- Department of Internal Medicine A, University Hospital Muenster, Muenster, Germany
| | - Jiri Mayer
- Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Maher Hanoun
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Johannes Schetelig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Karsten Wendt
- Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
- Department of Software and Multimedia Technology, Technical University Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
- German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Dresden, Germany
| | - Christian Thiede
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Jan Moritz Middeke
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
- Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
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6
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Babakhanlou R, Ravandi-Kashani F. Non-intensive acute myeloid leukemia therapies for older patients. Expert Rev Hematol 2023; 16:171-180. [PMID: 36864772 DOI: 10.1080/17474086.2023.2184342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
INTRODUCTION Acute myeloid leukemia (AML) is an aggressive disease predominantly affecting the elderly population. The elderly population represents a challenging group to treat and the prognosis is generally poor with significantly worse treatment outcomes compared to the younger population. While the goal of treatment for younger fit patients is cure and includes intensive chemotherapy and stem cell transplantation, these strategies are not always feasible for elderly unfit patients due to increased frailty, co-morbidities, and, subsequently, an increased risk of treatment-related toxicity and mortality. AREAS COVERED This review will discuss both patient- and disease-related factors, outline prognostication models and summarize current treatment options, including intensive and less intensive treatment strategies and novel agents. EXPERT OPINION Although recent years have seen major advances in the development of low-intensity therapies, there is still a lack of consensus on the optimal treatment for this patient group. Because of the heterogeneity of the disease, personalizing the treatment strategy is important and curative-oriented approaches should be selected wisely, rather than following a rigid hierarchical algorithm.
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Affiliation(s)
- Rodrick Babakhanlou
- Department of Leukemia, the University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
| | - Farhad Ravandi-Kashani
- Department of Leukemia, the University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
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7
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Eckardt JN, Röllig C, Metzeler K, Kramer M, Stasik S, Georgi JA, Heisig P, Spiekermann K, Krug U, Braess J, Görlich D, Sauerland CM, Woermann B, Herold T, Berdel WE, Hiddemann W, Kroschinsky F, Schetelig J, Platzbecker U, Müller-Tidow C, Sauer T, Serve H, Baldus C, Schäfer-Eckart K, Kaufmann M, Krause S, Hänel M, Schliemann C, Hanoun M, Thiede C, Bornhäuser M, Wendt K, Middeke JM. Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning. Haematologica 2023; 108:690-704. [PMID: 35708137 PMCID: PMC9973482 DOI: 10.3324/haematol.2021.280027] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Indexed: 11/09/2022] Open
Abstract
Achievement of complete remission signifies a crucial milestone in the therapy of acute myeloid leukemia (AML) while refractory disease is associated with dismal outcomes. Hence, accurately identifying patients at risk is essential to tailor treatment concepts individually to disease biology. We used nine machine learning (ML) models to predict complete remission and 2-year overall survival in a large multicenter cohort of 1,383 AML patients who received intensive induction therapy. Clinical, laboratory, cytogenetic and molecular genetic data were incorporated and our results were validated on an external multicenter cohort. Our ML models autonomously selected predictive features including established markers of favorable or adverse risk as well as identifying markers of so-far controversial relevance. De novo AML, extramedullary AML, double-mutated CEBPA, mutations of CEBPA-bZIP, NPM1, FLT3-ITD, ASXL1, RUNX1, SF3B1, IKZF1, TP53, and U2AF1, t(8;21), inv(16)/t(16;16), del(5)/del(5q), del(17)/del(17p), normal or complex karyotypes, age and hemoglobin concentration at initial diagnosis were statistically significant markers predictive of complete remission, while t(8;21), del(5)/del(5q), inv(16)/t(16;16), del(17)/del(17p), double-mutated CEBPA, CEBPA-bZIP, NPM1, FLT3-ITD, DNMT3A, SF3B1, U2AF1, and TP53 mutations, age, white blood cell count, peripheral blast count, serum lactate dehydrogenase level and hemoglobin concentration at initial diagnosis as well as extramedullary manifestations were predictive for 2-year overall survival. For prediction of complete remission and 2-year overall survival areas under the receiver operating characteristic curves ranged between 0.77-0.86 and between 0.63-0.74, respectively in our test set, and between 0.71-0.80 and 0.65-0.75 in the external validation cohort. We demonstrated the feasibility of ML for risk stratification in AML as a model disease for hematologic neoplasms, using a scalable and reusable ML framework. Our study illustrates the clinical applicability of ML as a decision support system in hematology.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden.
| | - Christoph Röllig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
| | - Klaus Metzeler
- Medical Clinic and Policlinic I Hematology and Cell Therapy. University Hospital, Leipzig
| | - Michael Kramer
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
| | - Sebastian Stasik
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
| | | | - Peter Heisig
- Institute of Software and Multimedia Technology, Technical University Dresden, Dresden
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich
| | - Utz Krug
- Medical Clinic III, Hospital Leverkusen, Leverkusen
| | - Jan Braess
- Hospital Barmherzige Brueder Regensburg, Regensburg
| | - Dennis Görlich
- Institute for Biometrics and Clinical Research, University Muenster, Muenster
| | | | - Bernhard Woermann
- Department of Hematology, Oncology and Tumor Immunology, Charité, Berlin
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich
| | - Wolfgang E Berdel
- Department of Internal Medicine A, University Hospital Muenster, Muenster
| | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich
| | - Frank Kroschinsky
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
| | - Johannes Schetelig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
| | - Uwe Platzbecker
- Medical Clinic and Policlinic I Hematology and Cell Therapy. University Hospital, Leipzig
| | - Carsten Müller-Tidow
- Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany; German Consortium for Translational Cancer Research DKFZ, Heidelberg
| | - Tim Sauer
- Department of Medicine V, University Hospital Heidelberg, Heidelberg
| | - Hubert Serve
- Department of Medicine 2, Hematology and Oncology, Goethe University Frankfurt, Frankfurt
| | - Claudia Baldus
- Department of Hematology and Oncology, University Hospital Schleswig Holstein, Kiel
| | - Kerstin Schäfer-Eckart
- Department of Internal Medicine 5, Paracelsus Medical Private University Nuremberg, Nuremberg
| | - Martin Kaufmann
- Department of Hematology, Oncology and Palliative Care, Robert-Bosch Hospital, Stuttgart
| | - Stefan Krause
- Department of Internal Medicine 5, University Hospital Erlangen, Erlangen
| | - Mathias Hänel
- Department of Internal Medicine 3, Klinikum Chemnitz GmbH, Chemnitz, Germany; Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen
| | | | - Maher Hanoun
- Department of Internal Medicine 3, Klinikum Chemnitz GmbH, Chemnitz, Germany; Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen
| | - Christian Thiede
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany; German Consortium for Translational Cancer Research DKFZ, Heidelberg
| | - Martin Bornhäuser
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany; German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany; National Center for Tumor Diseases (NCT), Dresden
| | - Karsten Wendt
- Medical Clinic and Policlinic I Hematology and Cell Therapy. University Hospital, Leipzig
| | - Jan Moritz Middeke
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden
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8
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Eckardt JN, Stasik S, Röllig C, Sauer T, Scholl S, Hochhaus A, Crysandt M, Brümmendorf TH, Naumann R, Steffen B, Kunzmann V, Einsele H, Schaich M, Burchert A, Neubauer A, Schäfer-Eckart K, Schliemann C, Krause SW, Herbst R, Hänel M, Hanoun M, Kaiser U, Kaufmann M, Rácil Z, Mayer J, Cerqueira T, Kroschinsky F, Berdel WE, Serve H, Müller-Tidow C, Platzbecker U, Baldus CD, Schetelig J, Siepmann T, Bornhäuser M, Middeke JM, Thiede C. Alterations of cohesin complex genes in acute myeloid leukemia: differential co-mutations, clinical presentation and impact on outcome. Blood Cancer J 2023; 13:18. [PMID: 36693840 PMCID: PMC9873811 DOI: 10.1038/s41408-023-00790-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/25/2023] Open
Abstract
Functional perturbations of the cohesin complex with subsequent changes in chromatin structure and replication are reported in a multitude of cancers including acute myeloid leukemia (AML). Mutations of its STAG2 subunit may predict unfavorable risk as recognized by the 2022 European Leukemia Net recommendations, but the underlying evidence is limited by small sample sizes and conflicting observations regarding clinical outcomes, as well as scarce information on other cohesion complex subunits. We retrospectively analyzed data from a multi-center cohort of 1615 intensively treated AML patients and identified distinct co-mutational patters for mutations of STAG2, which were associated with normal karyotypes (NK) and concomitant mutations in IDH2, RUNX1, BCOR, ASXL1, and SRSF2. Mutated RAD21 was associated with NK, mutated EZH2, KRAS, CBL, and NPM1. Patients harboring mutated STAG2 were older and presented with decreased white blood cell, bone marrow and peripheral blood blast counts. Overall, neither mutated STAG2, RAD21, SMC1A nor SMC3 displayed any significant, independent effect on clinical outcomes defined as complete remission, event-free, relapse-free or overall survival. However, we found almost complete mutual exclusivity of genetic alterations of individual cohesin subunits. This mutual exclusivity may be the basis for therapeutic strategies via synthetic lethality in cohesin mutated AML.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany. .,Division of Health Care Sciences, Dresden International University, Dresden, Germany.
| | - Sebastian Stasik
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Christoph Röllig
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Tim Sauer
- grid.5253.10000 0001 0328 4908German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Sebastian Scholl
- grid.275559.90000 0000 8517 6224Department of Internal Medicine II, Jena University Hospital, Jena, Germany
| | - Andreas Hochhaus
- grid.275559.90000 0000 8517 6224Department of Internal Medicine II, Jena University Hospital, Jena, Germany
| | - Martina Crysandt
- grid.412301.50000 0000 8653 1507Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Tim H. Brümmendorf
- grid.412301.50000 0000 8653 1507Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Ralph Naumann
- Medical Clinic III, St. Marien-Hospital Siegen, Siegen, Germany
| | - Björn Steffen
- grid.411088.40000 0004 0578 8220Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Volker Kunzmann
- grid.411760.50000 0001 1378 7891Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Hermann Einsele
- grid.411760.50000 0001 1378 7891Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Markus Schaich
- grid.459932.0Department of Hematology, Oncology and Palliative Care, Rems-Murr-Hospital Winnenden, Winnenden, Germany
| | - Andreas Burchert
- grid.10253.350000 0004 1936 9756Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Andreas Neubauer
- grid.10253.350000 0004 1936 9756Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Kerstin Schäfer-Eckart
- grid.511981.5Department of Internal Medicine V, Paracelsus Medizinische Privatuniversität and University Hospital Nurnberg, Nurnberg, Germany
| | - Christoph Schliemann
- grid.16149.3b0000 0004 0551 4246Department of Medicine A, University Hospital Münster, Münster, Germany
| | - Stefan W. Krause
- grid.411668.c0000 0000 9935 6525Medical Clinic V, University Hospital Erlangen, Erlangen, Germany
| | - Regina Herbst
- grid.459629.50000 0004 0389 4214Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Mathias Hänel
- grid.459629.50000 0004 0389 4214Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Maher Hanoun
- grid.410718.b0000 0001 0262 7331Department of Hematology, University Hospital Essen, Essen, Germany
| | - Ulrich Kaiser
- grid.460019.aMedical Clinic II, St. Bernward Hospital, Hildesheim, Germany
| | - Martin Kaufmann
- grid.416008.b0000 0004 0603 4965Department of Hematology, Oncology and Palliative Care, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Zdenek Rácil
- grid.412554.30000 0004 0609 2751Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Jiri Mayer
- grid.412554.30000 0004 0609 2751Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Tiago Cerqueira
- grid.440925.e0000 0000 9874 1261Division of Health Care Sciences, Dresden International University, Dresden, Germany
| | - Frank Kroschinsky
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Wolfgang E. Berdel
- grid.16149.3b0000 0004 0551 4246Department of Medicine A, University Hospital Münster, Münster, Germany
| | - Hubert Serve
- grid.411088.40000 0004 0578 8220Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Carsten Müller-Tidow
- grid.5253.10000 0001 0328 4908German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Uwe Platzbecker
- grid.411339.d0000 0000 8517 9062Medical Clinic I Hematology and Celltherapy, University Hospital Leipzig, Leipzig, Germany
| | - Claudia D. Baldus
- grid.412468.d0000 0004 0646 2097Department of Internal Medicine, University Hospital Kiel, Kiel, Germany
| | - Johannes Schetelig
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany ,DKMS Clinical Trials Unit, Dresden, Germany
| | - Timo Siepmann
- grid.440925.e0000 0000 9874 1261Division of Health Care Sciences, Dresden International University, Dresden, Germany ,grid.4488.00000 0001 2111 7257Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Martin Bornhäuser
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany ,grid.7497.d0000 0004 0492 0584German Consortium for Translational Cancer Research DKTK, Heidelberg, Germany ,National Center for Tumor Disease (NCT), Dresden, Germany
| | - Jan Moritz Middeke
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Christian Thiede
- grid.412282.f0000 0001 1091 2917Department of Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
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9
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Wang S, Zhang P. Bioinformatics Analysis Identifies EPAS1 as a Novel Prognostic Marker Correlated with Immune Infiltration in Acute Myeloid Leukemia. DISEASE MARKERS 2023; 2023:6072782. [PMID: 37124944 PMCID: PMC10137199 DOI: 10.1155/2023/6072782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/26/2023] [Accepted: 03/04/2023] [Indexed: 05/02/2023]
Abstract
EPAS1 plays an important role in the development and progression of multiple tumor types by interacting with a series of other molecules. However, the prognostic and diagnostic values of EPAS1 in acute myeloid leukemia (AML) remain unknown. Here, we systematically explored and clarified the potential functions of EPAS1 in AML using data from Xena Browser and TCGA database. The expression of EPAS1 was significantly lower in AML patients than that in healthy people. The GO, KEGG, GSEA, and GSVA were performed to explore the potential functions and signaling pathways. The survival analysis was conducted using Cox regression analysis and the Kaplan-Meier method. Immune cell infiltration was evaluated via single-sample GSEA (ssGSEA). The results of enrichment analyses suggested that low-EPAS1 expression was related to the initiation, development, and prognosis of AML. The immune microenvironment landscape in AML was described by ssGSEA. ROC analysis of EPAS1 showed high discrimination ability between AML patients and healthy people. Kaplan-Meier method indicated that low-EPAS1 expression correlated significantly with a poor overall survival. Multivariate Cox regression analysis revealed that both age and EPAS1 expression were independent prognostic factors in AML patients. Furthermore, the nomogram based on these two variables performed well in discrimination and calibration. In summary, our study may provide new insights into the molecular mechanisms underlying AML and demonstrate the diagnostic and prognostic value of EPAS1 in AML for the first time.
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Affiliation(s)
- Shichun Wang
- Department of Blood Transfusion, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Pengyu Zhang
- Department of Blood Transfusion, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
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10
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Prognosis of older patients with newly diagnosed AML undergoing antileukemic therapy: A systematic review. PLoS One 2022; 17:e0278578. [PMID: 36469519 PMCID: PMC9721486 DOI: 10.1371/journal.pone.0278578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 11/20/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The prognostic value of age and other non-hematological factors in predicting outcomes in older patients with newly diagnosed acute myeloid leukemia (AML) undergoing antileukemic therapy is not well understood. We performed a systematic review to determine the association between these factors and mortality and health-related quality of life or fatigue among these patients. METHODS We searched Medline and Embase through October 2021 for studies in which researchers quantified the relationship between age, comorbidities, frailty, performance status, or functional status; and mortality and health-related quality of life or fatigue in older patients with AML receiving antileukemic therapy. We assessed the risk of bias of the included studies using the Quality in Prognostic Studies tool, conducted random-effects meta-analyses, and assessed the quality of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation approach. RESULTS We included 90 studies. Meta-analysis showed that age (per 5-year increase, HR 1.16 95% CI 1.11-1.21, high-quality evidence), comorbidities (Hematopoietic Cell Transplantation-specific Comorbidity Index: 3+ VS less than 3, HR 1.60 95% CI 1.31-1.95, high-quality evidence), and performance status (Eastern Cooperative Oncology Group/ World Health Organization (ECOG/WHO): 2+ VS less than 2, HR 1.63 95% CI 1.43-1.86, high-quality evidence; ECOG/WHO: 3+ VS less than 3, HR 2.00 95% CI 1.52-2.63, moderate-quality evidence) were associated with long-term mortality. These studies provided inconsistent and non-informative results on short-term mortality (within 90 days) and quality of life. CONCLUSION High-quality or moderate-quality evidence support that age, comorbidities, performance status predicts the long-term prognosis of older patients with AML undergoing antileukemic treatment.
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11
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Dennis M, Copland M, Kaur H, Kell J, Nikolousis E, Mehta P, Palanicawandar R, Potter V, Raj K, Thomas I, Wilson A. Management of older patients with frailty and acute myeloid leukaemia: A British Society for Haematology good practice paper. Br J Haematol 2022; 199:205-221. [PMID: 36000944 DOI: 10.1111/bjh.18369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Mike Dennis
- The Christie NHS Foundation Trust, Manchester, UK
| | - Mhairi Copland
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Harpreet Kaur
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | | | - Priyanka Mehta
- University Hospitals of Bristol and Weston NHS Trust, Bristol, UK
| | | | | | - Kavita Raj
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Andrew Wilson
- University College London Hospitals NHS Foundation Trust, London, UK
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12
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Kunadt D, Stasik S, Metzeler KH, Röllig C, Schliemann C, Greif PA, Spiekermann K, Rothenberg-Thurley M, Krug U, Braess J, Krämer A, Hochhaus A, Scholl S, Hilgendorf I, Brümmendorf TH, Jost E, Steffen B, Bug G, Einsele H, Görlich D, Sauerland C, Schäfer-Eckart K, Krause SW, Hänel M, Hanoun M, Kaufmann M, Wörmann B, Kramer M, Sockel K, Egger-Heidrich K, Herold T, Ehninger G, Burchert A, Platzbecker U, Berdel WE, Müller-Tidow C, Hiddemann W, Serve H, Stelljes M, Baldus CD, Neubauer A, Schetelig J, Thiede C, Bornhäuser M, Middeke JM, Stölzel F. Impact of IDH1 and IDH2 mutational subgroups in AML patients after allogeneic stem cell transplantation. J Hematol Oncol 2022; 15:126. [PMID: 36064577 PMCID: PMC9442956 DOI: 10.1186/s13045-022-01339-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 08/15/2022] [Indexed: 11/23/2022] Open
Abstract
Background The role of allogeneic hematopoietic cell transplantation (alloHCT) in acute myeloid leukemia (AML) with mutated IDH1/2 has not been defined. Therefore, we analyzed a large cohort of 3234 AML patients in first complete remission (CR1) undergoing alloHCT or conventional chemo-consolidation and investigated outcome in respect to IDH1/2 mutational subgroups (IDH1 R132C, R132H and IDH2 R140Q, R172K). Methods Genomic DNA was extracted from bone marrow or peripheral blood samples at diagnosis and analyzed for IDH mutations with denaturing high-performance liquid chromatography, Sanger sequencing and targeted myeloid panel next-generation sequencing, respectively. Statistical as-treated analyses were performed using R and standard statistical methods (Kruskal–Wallis test for continuous variables, Chi-square test for categorical variables, Cox regression for univariate and multivariable models), incorporating alloHCT as a time-dependent covariate. Results Among 3234 patients achieving CR1, 7.8% harbored IDH1 mutations (36% R132C and 47% R132H) and 10.9% carried IDH2 mutations (77% R140Q and 19% R172K). 852 patients underwent alloHCT in CR1. Within the alloHCT group, 6.2% had an IDH1 mutation (43.4% R132C and 41.4% R132H) and 10% were characterized by an IDH2 mutation (71.8% R140Q and 24.7% R172K). Variants IDH1 R132C and IDH2 R172K showed a significant benefit from alloHCT for OS (p = .017 and p = .049) and RFS (HR = 0.42, p = .048 and p = .009) compared with chemotherapy only. AlloHCT in IDH2 R140Q mutated AML resulted in longer RFS (HR = 0.4, p = .002). Conclusion In this large as-treated analysis, we showed that alloHCT is able to overcome the negative prognostic impact of certain IDH mutational subclasses in first-line consolidation treatment and could pending prognostic validation, provide prognostic value for AML risk stratification and therapeutic decision making. Supplementary Information The online version contains supplementary material available at 10.1186/s13045-022-01339-8.
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Affiliation(s)
- Desiree Kunadt
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany.
| | - Sebastian Stasik
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Klaus H Metzeler
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,Klinik und Poliklinik für Hämatologie, Zelltherapie und Hämostaseologie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Christoph Röllig
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | | | - Philipp A Greif
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Maja Rothenberg-Thurley
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Utz Krug
- Medizinische Klinik III, Klinikum Leverkusen, Leverkusen, Germany
| | - Jan Braess
- Krankenhaus Barmherzige Brüder Regensburg, Regensburg, Germany
| | - Alwin Krämer
- Medizinische Klinik Und Poliklinik, Abteilung Innere Medizin V, Universität Heidelberg, Heidelberg, Germany
| | - Andreas Hochhaus
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Sebastian Scholl
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Inken Hilgendorf
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | | | - Edgar Jost
- Medizinische Klinik IV, Uniklinik RWTH Aachen, Aachen, Germany
| | - Björn Steffen
- Medizinische Klinik 2, Hämatologie/Onkologie, Goethe-Universität, Frankfurt am Main, Germany
| | - Gesine Bug
- Medizinische Klinik 2, Hämatologie/Onkologie, Goethe-Universität, Frankfurt am Main, Germany
| | - Hermann Einsele
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Dennis Görlich
- Institut für Biometrie und Klinische Forschung, Universität Münster, Münster, Germany
| | - Cristina Sauerland
- Institut für Biometrie und Klinische Forschung, Universität Münster, Münster, Germany
| | - Kerstin Schäfer-Eckart
- Klinik für Innere Medizin 5, Klinikum Nürnberg, Paracelsus Medizinische Privatuniversität, Nuremberg, Germany
| | - Stefan W Krause
- Medizinische Klinik 5, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Mathias Hänel
- Medizinische Klinik III, Klinikum Chemnitz, Chemnitz, Germany
| | - Maher Hanoun
- Klinik für Hämatologie, Universitätsklinikum Essen, Essen, Germany
| | - Martin Kaufmann
- Abteilung für Hämatologie, Onkologie und Palliativmedizin, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - Bernhard Wörmann
- Abteilung für Hämatologie, Onkologie und Palliativmedizin, Robert-Bosch-Krankenhaus, Stuttgart, Germany
| | - Michael Kramer
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Katja Sockel
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | | | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Gerhard Ehninger
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Andreas Burchert
- Klinik für Innere Medizin, Schwerpunkt Hämatologie, Onkologie und Immunologie, Philipps Universität Marburg, Marburg, Germany
| | - Uwe Platzbecker
- Klinik und Poliklinik für Hämatologie, Zelltherapie und Hämostaseologie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Wolfgang E Berdel
- Medizinische Klinik A, Universitätsklinikum Münster, Münster, Germany
| | - Carsten Müller-Tidow
- Medizinische Klinik Und Poliklinik, Abteilung Innere Medizin V, Universität Heidelberg, Heidelberg, Germany
| | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Hubert Serve
- Medizinische Klinik 2, Hämatologie/Onkologie, Goethe-Universität, Frankfurt am Main, Germany
| | - Matthias Stelljes
- Medizinische Klinik A, Universitätsklinikum Münster, Münster, Germany
| | - Claudia D Baldus
- Klinik für Innere Medizin II, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - Andreas Neubauer
- Klinik für Innere Medizin, Schwerpunkt Hämatologie, Onkologie und Immunologie, Philipps Universität Marburg, Marburg, Germany
| | - Johannes Schetelig
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany.,DKMS Clinical Trials Unit, Dresden, Germany
| | - Christian Thiede
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Martin Bornhäuser
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany.,National Center for Tumor Diseases, Dresden (NCT/UCC), Dresden, Germany.,German Consortium for Translational Cancer Research (DKTK), DKFZ, Heidelberg, Germany
| | - Jan M Middeke
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Friedrich Stölzel
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
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13
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Bérard E, Röllig C, Bertoli S, Pigneux A, Tavitian S, Kramer M, Serve H, Bornhäuser M, Platzbecker U, Müller-Tidow C, Baldus CD, Martínez-Cuadrón D, Serrano J, Martínez-Sánchez P, Arbolí ER, Gil C, Bergua J, Bernal T, de la Fuente Burguera A, Delabesse E, Bidet A, Dumas PY, Montesinos P, Récher C. A scoring system for AML patients aged 70 years or older, eligible for intensive chemotherapy: a study based on a large European data set using the DATAML, SAL, and PETHEMA registries. Blood Cancer J 2022; 12:107. [PMID: 35821023 PMCID: PMC9276717 DOI: 10.1038/s41408-022-00700-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022] Open
Abstract
In a context of therapeutic revolution in older adults with AML, it is becoming increasingly important to select patients for the various treatment options by taking account of short-term efficacy and toxicity as well as long-term survival. Here, the data from three European registries for 1,199 AML patients aged 70 years or older treated with intensive chemotherapy were used to develop a prognostic scoring system. The median follow-up was 50.8 months. In the training set of 636 patients, age, performance status, secondary AML, leukocytosis, and cytogenetics, as well as NPM1 mutations (without FLT3-ITD), were all significantly associated with overall survival, albeit not to the same degree. These factors were used to develop a score that predicts long-term overall survival. Three risk-groups were identified: a lower, intermediate and higher-risk score with predicted 5-year overall survival (OS) probabilities of ≥12% (n = 283, 51%; median OS = 18 months), 3-12% (n = 226, 41%; median OS = 9 months) and <3% (n = 47, 8%; median OS = 3 months), respectively. This scoring system was also significantly associated with complete remission, early death and relapse-free survival; performed similarly in the external validation cohort (n = 563) and showed a lower false-positive rate than previously published scores. The European Scoring System ≥70, easy for routine calculation, predicts long-term survival in older AML patients considered for intensive chemotherapy.
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Affiliation(s)
- Emilie Bérard
- Centre Hospitalier Universitaire de Toulouse, Service d'Epidémiologie, CERPOP, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Christoph Röllig
- Medizinische Klinik und Poliklinik I, Universitätsklinikum TU Dresden, Dresden, Germany
| | - Sarah Bertoli
- Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Arnaud Pigneux
- CHU Bordeaux, Service d'Hématologie Clinique et de Thérapie Cellulaire, Université de Bordeaux, Institut National de la Santé et de la Recherche Médicale, U1035, 33000, Bordeaux, France
| | - Suzanne Tavitian
- Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Université Toulouse III Paul Sabatier, Toulouse, France
| | - Michael Kramer
- Medizinische Klinik und Poliklinik I, Universitätsklinikum TU Dresden, Dresden, Germany
| | - Hubert Serve
- Medizinische Klinik 2, Universitätsklinikum Frankfurt, Frankfurt/Main, Germany
| | - Martin Bornhäuser
- Medizinische Klinik und Poliklinik I, Universitätsklinikum TU Dresden, Dresden, Germany
| | - Uwe Platzbecker
- Klinik und Poliklinik für Hämatologie, Zelltherapie und Hämostaseologie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Carsten Müller-Tidow
- Klinik für Hämatologie, Onkologie und Rheumatologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Claudia D Baldus
- Klinik für Innere Medizin II, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - David Martínez-Cuadrón
- Hospital Universitari i Politècnic La Fe, Valencia, Spain; Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, Spain
| | | | | | | | - Cristina Gil
- Hospital General Universitario de Alicante, Alicante, Spain
| | - Juan Bergua
- Hospital San Pedro Alcántara, Cáceres, Spain
| | - Teresa Bernal
- Hospital Universitario Central de Asturias, Asturias, Spain
| | | | - Eric Delabesse
- Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Laboratoire d'Hématologie Biologique, Toulouse, France
| | - Audrey Bidet
- CHU Bordeaux, Laboratoire d'Hématologie Biologique, F-33000, Bordeaux, France
| | - Pierre-Yves Dumas
- CHU Bordeaux, Service d'Hématologie Clinique et de Thérapie Cellulaire, Université de Bordeaux, Institut National de la Santé et de la Recherche Médicale, U1035, 33000, Bordeaux, France
| | - Pau Montesinos
- Hospital Universitari i Politècnic La Fe, Valencia, Spain; Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, Spain
| | - Christian Récher
- Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Université Toulouse III Paul Sabatier, Toulouse, France.
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14
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Kayser S, Martínez-Cuadrón D, Hanoun M, Stölzel F, Gil C, Reinhardt HC, Aguiar E, Schäfer-Eckart K, Burgues JMB, Steffen B, Bernal T, Krause SW, Riaza R, Schliemann C, Cervera J, Kaufmann M, Torres-Miñana L, Hänel M, Acuña-Cruz E, Jost E, Algarra JL, Crysandt M, Fransecky L, Cornago-Navascues J, Kraus S, Martinez-Lopez J, Einsele H, Niemann D, Neubauer A, Seggewiss-Bernhardt R, Scholl S, Klein SA, Schmid C, Schaich M, Schmidt-Hieber M, Zukunft S, Ho AD, Platzbecker U, Baldus CD, Müller-Tidow C, Thiede C, Bornhäuser M, Serve H, Levis MJ, Montesinos P, Röllig C, Schlenk RF. Characteristics and outcome of patients with acute myeloid leukemia and trisomy 4. Haematologica 2022; 108:34-41. [PMID: 35678031 PMCID: PMC9827151 DOI: 10.3324/haematol.2022.281137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Indexed: 02/04/2023] Open
Abstract
We retrospectively studied 125 patients with acute myeloid leukemia and trisomy 4 (median age at diagnosis, 58 years; range, 16-77 years) treated between 2000 and 2019 within a multicenter study. Trisomy 4 was the sole abnormality in 28 (22%) patients and additional abnormalities were present in 97 (78%) patients. Twenty-two (22%) and 15 (15%) of 101 tested patients harbored NPM1 and FLT3-ITD mutations. Two (3%) of 72 tested patients had double CEBPA mutations. Data on response to intensive anthracycline-based induction therapy were available for 119 patients. Complete remission was achieved in 67% (n=80) and the early death rate was 5% (n=6). Notably, patients with trisomy 4 as sole abnormality had a complete remission rate of 89%. Allogeneic hematopoietic cell transplantation was performed in 40 (34%) patients, of whom 19 were transplanted in first complete remission. The median follow-up of the intensively treated cohort was 5.76 years (95% confidence interval [95% CI]: 2.99-7.61 years). The 5-year overall survival and relapse-free survival rates were 30% (95% CI: 22-41%) and 27% (95% CI: 18-41%), respectively. An Andersen-Gill regression model on overall survival revealed that favorable-risk according to the European LeukemiaNet classification (hazard ratio [HR]=0.34; P=0.006) and trisomy 4 as sole abnormality (HR=0.41; P=0.01) were favorable factors, whereas age with a difference of 10 years (HR=1.15; P=0.11), female gender (HR=0.74; P=0.20) and allogeneic hematopoietic cell transplantation (HR=0.64; P=0.14) did not have an significant impact. In our cohort, patients with trisomy 4 as their sole abnormality had a high complete remission rate and favorable clinical outcome. Allogeneic hematopoietic cell transplantation did not seem to improve overall survival.
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Affiliation(s)
- Sabine Kayser
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany,NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany,S. Kayser
| | - David Martínez-Cuadrón
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Maher Hanoun
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Friedrich Stölzel
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Dresden, Germany
| | | | - H. Christian Reinhardt
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Eliana Aguiar
- Clinical Haematology Department, Centro Hospitalar São João, Oporto, Portugal
| | - Kerstin Schäfer-Eckart
- Department of Internal Medicine 5, Paracelsus Medical Private University Nürnberg, Nürnberg, Germany
| | | | - Björn Steffen
- Department of Internal Medicine II, University Hospital of Frankfurt Main, Frankfurt Main, Germany
| | | | - Stefan W. Krause
- Department of Internal Medicine 5 – Hematology/Oncology, University Hospital of Erlangen, Erlangen, Germany
| | - Rosalía Riaza
- Hematology Department, Hospital Universitario Severo Ochoa, Madrid, Spain
| | | | - Jose Cervera
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | | | - Laura Torres-Miñana
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | | | - Evelyn Acuña-Cruz
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Edgar Jost
- Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | | | - Martina Crysandt
- Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Lars Fransecky
- Department of Internal Medicine II, University Hospital of Kiel, Kiel, Germany
| | | | | | | | | | - Dirk Niemann
- Gemeinschaftsklinikum Mittelrhein gGmbH, Koblenz, Germany
| | - Andreas Neubauer
- Philipps University Marburg, and University Hospital Giessen and Marburg, Marburg, Germany
| | | | - Sebastian Scholl
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Stefan A. Klein
- Department of Hematology and Oncology, University Hospital Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph Schmid
- Department of Hematology and Oncology, Augsburg University Hospital, Augsburg, Germany
| | - Markus Schaich
- Department of Hematology, Oncology and Palliative Care, Rems-Murr-Hospital Winnenden, Winnenden, Germany
| | | | - Sven Zukunft
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Dresden, Germany
| | - Anthony D. Ho
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Uwe Platzbecker
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany
| | - Claudia D. Baldus
- Department of Internal Medicine II, University Hospital of Kiel, Kiel, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Thiede
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Dresden, Germany
| | - Hubert Serve
- Department of Internal Medicine II, University Hospital of Frankfurt Main, Frankfurt Main, Germany
| | - Mark J. Levis
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Pau Montesinos
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Christoph Röllig
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Dresden, Germany
| | - Richard F. Schlenk
- NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany,Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany
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15
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Eckardt JN, Stölzel F, Kunadt D, Röllig C, Stasik S, Wagenführ L, Jöhrens K, Kuithan F, Krämer A, Scholl S, Hochhaus A, Crysandt M, Brümmendorf TH, Naumann R, Steffen B, Kunzmann V, Einsele H, Schaich M, Burchert A, Neubauer A, Schäfer-Eckart K, Schliemann C, Krause SW, Herbst R, Hänel M, Hanoun M, Kaiser U, Kaufmann M, Rácil Z, Mayer J, Kroschinsky F, Berdel WE, Ehninger G, Serve H, Müller-Tidow C, Platzbecker U, Baldus CD, Schetelig J, Bornhäuser M, Thiede C, Middeke JM. Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations. J Hematol Oncol 2022; 15:60. [PMID: 35562747 PMCID: PMC9107142 DOI: 10.1186/s13045-022-01267-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/17/2022] [Indexed: 12/05/2022] Open
Abstract
Background Extramedullary manifestations (EM) are rare in acute myeloid leukemia (AML) and their impact on clinical outcomes is controversially discussed. Methods We retrospectively analyzed a large multi-center cohort of 1583 newly diagnosed AML patients, of whom 225 (14.21%) had EM. Results AML patients with EM presented with significantly higher counts of white blood cells (p < 0.0001), peripheral blood blasts (p < 0.0001), bone marrow blasts (p = 0.019), and LDH (p < 0.0001). Regarding molecular genetics, EM AML was associated with mutations of NPM1 (OR: 1.66, p < 0.001), FLT3-ITD (OR: 1.72, p < 0.001) and PTPN11 (OR: 2.46, p < 0.001). With regard to clinical outcomes, EM AML patients were less likely to achieve complete remissions (OR: 0.62, p = 0.004), and had a higher early death rate (OR: 2.23, p = 0.003). Multivariable analysis revealed EM as an independent risk factor for reduced overall survival (hazard ratio [HR]: 1.43, p < 0.001), however, for patients who received allogeneic hematopoietic cell transplantation (HCT) survival did not differ. For patients bearing EM AML, multivariable analysis unveiled mutated TP53 and IKZF1 as independent risk factors for reduced event-free (HR: 4.45, p < 0.001, and HR: 2.05, p = 0.044, respectively) and overall survival (HR: 2.48, p = 0.026, and HR: 2.63, p = 0.008, respectively). Conclusion Our analysis represents one of the largest cohorts of EM AML and establishes key molecular markers linked to EM, providing new evidence that EM is associated with adverse risk in AML and may warrant allogeneic HCT in eligible patients with EM. Supplementary Information The online version contains supplementary material available at 10.1186/s13045-022-01267-7.
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Affiliation(s)
- Jan-Niklas Eckardt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany.
| | - Friedrich Stölzel
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Desiree Kunadt
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Christoph Röllig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Sebastian Stasik
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Lisa Wagenführ
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Korinna Jöhrens
- Department of Pathology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Friederike Kuithan
- Medical Care Center, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Alwin Krämer
- German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Sebastian Scholl
- Department of Internal Medicine II, Jena University Hospital, Jena, Germany
| | - Andreas Hochhaus
- Department of Internal Medicine II, Jena University Hospital, Jena, Germany
| | - Martina Crysandt
- Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Tim H Brümmendorf
- Department of Hematology, Oncology, Hemostaseology, and Cell Therapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Ralph Naumann
- Medical Clinic III, St. Marien-Hospital Siegen, Siegen, Germany
| | - Björn Steffen
- Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Volker Kunzmann
- Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Hermann Einsele
- Medical Clinic and Policlinic II, University Hospital Würzburg, Würzburg, Germany
| | - Markus Schaich
- Department of Hematology, Oncology and Palliative Care, Rems-Murr-Hospital Winnenden, Winnenden, Germany
| | - Andreas Burchert
- Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Andreas Neubauer
- Department of Hematology, Oncology and Immunology, Philipps-University-Marburg, Marburg, Germany
| | - Kerstin Schäfer-Eckart
- Department of Internal Medicine V, Paracelsus Medizinische Privatuniversität and University Hospital Nuremberg, Nuremberg, Germany
| | | | - Stefan W Krause
- Medical Clinic V, University Hospital Erlangen, Erlangen, Germany
| | - Regina Herbst
- Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Mathias Hänel
- Medical Clinic III, Chemnitz Hospital AG, Chemnitz, Germany
| | - Maher Hanoun
- Department of Hematology, University Hospital Essen, Essen, Germany
| | - Ulrich Kaiser
- Medical Clinic II, St. Bernward Hospital, Hildesheim, Germany
| | - Martin Kaufmann
- Department of Hematology, Oncology and Palliative Care, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Zdenek Rácil
- Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Jiri Mayer
- Department of Internal Medicine, Hematology and Oncology, Masaryk University Hospital, Brno, Czech Republic
| | - Frank Kroschinsky
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Wolfgang E Berdel
- Department of Medicine A, University Hospital Münster, Münster, Germany
| | - Gerhard Ehninger
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Hubert Serve
- Medical Clinic II, University Hospital Frankfurt, Frankfurt (Main), Germany
| | - Carsten Müller-Tidow
- German Cancer Research Center (DKFZ) and Medical Clinic V, University Hospital Heidelberg, Heidelberg, Germany
| | - Uwe Platzbecker
- Medical Clinic I Hematology and Celltherapy, University Hospital Leipzig, Leipzig, Germany
| | - Claudia D Baldus
- Department of Internal Medicine, University Hospital Kiel, Kiel, Germany
| | - Johannes Schetelig
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany.,DKMS Clinical Trials Unit, Dresden, Germany
| | - Martin Bornhäuser
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany.,German Consortium for Translational Cancer Research DKFZ, Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Dresden, Germany
| | - Christian Thiede
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
| | - Jan Moritz Middeke
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstraße 74, 01307, Dresden, Saxony, Germany
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16
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Schmucker AM, Leiby BE, Wilde L. Validation of AML-score in Older Adults Receiving CPX-351 Intensive Induction Chemotherapy for Treatment of Secondary Acute Myeloid Leukemia. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2022; 22:e206-e212. [PMID: 34686446 DOI: 10.1016/j.clml.2021.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 09/13/2021] [Accepted: 09/20/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION/BACKGROUND The AML-Score has been validated in patients receiving traditional induction chemotherapies but not CPX-351. We conducted a retrospective analysis to evaluate, among patients with secondary acute myeloid leukemia who received intensive induction with CPX-351, if the AML-Score associates with (1) complete remission (CR) and (2) early mortality (EM) within 60 days of induction. MATERIALS AND METHODS We abstracted demographic and clinical data from consecutive patients receiving CPX-351 at Sidney Kimmel Cancer Center at Thomas Jefferson University Hospital between September 2017 and November 2020. We used descriptive statistics and receiver operating curves to evaluate the relationship between AML-Score and rates of CR and EM. RESULTS In total, 40 patients were included. 27 (67.5%) were male, 27 (67.5%) were white, 36 (90.0%) were not Hispanic or Latino, and 29 (72.5%) were aged ≥60 years. Twenty-seven patients (67.5%) had a CR, and 4 (10%) experienced EM. Observed rates of CR and EM generally increased with increasing predicted risk. The area under the curve was 0.75 (95% CI 0.60-0.90) for CR and 0.82 (95% CI 0.68-0.96) for EM. CONCLUSION The AML-Score tool trends in the correct direction for predicting CR and EM, and thus may facilitate oncologist prognostication and treatment planning for patients receiving CPX-351. However, its clinical utility is limited by its underestimation of the risk of CR and overestimation of the risk of EM. Further validation in a larger cohort is needed to calculate accurate point estimates of CR and EM risk in this population.
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Affiliation(s)
- Abigail M Schmucker
- Department of Internal Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Benjamin E Leiby
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - Lindsay Wilde
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA.
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17
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Adenosine Monophosphate Activated Protein Kinase (AMPK) enhances chemotherapy response in Acute Myeloid Leukemia (AML). Cancer Lett 2022; 535:215659. [DOI: 10.1016/j.canlet.2022.215659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 11/20/2022]
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18
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Differential impact of IDH1/2 mutational subclasses on outcome in adult AML: Results from a large multicenter study. Blood Adv 2021; 6:1394-1405. [PMID: 34794176 PMCID: PMC8905706 DOI: 10.1182/bloodadvances.2021004934] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 10/14/2021] [Indexed: 11/20/2022] Open
Abstract
Patients with IDH1-R132C have a lower complete remission rate and a trend toward reduced OS. Patients with IDH2-R172K in the European LeukemiaNet intermediate/adverse-risk group have significantly better relapse-free survival and OS.
Mutations of the isocitrate dehydrogenase-1 (IDH1) and IDH2 genes are among the most frequent alterations in acute myeloid leukemia (AML) and can be found in ∼20% of patients at diagnosis. Among 4930 patients (median age, 56 years; interquartile range, 45-66) with newly diagnosed, intensively treated AML, we identified IDH1 mutations in 423 (8.6%) and IDH2 mutations in 575 (11.7%). Overall, there were no differences in response rates or survival for patients with mutations in IDH1 or IDH2 compared with patients without mutated IDH1/2. However, distinct clinical and comutational phenotypes of the most common subtypes of IDH1/2 mutations could be associated with differences in outcome. IDH1-R132C was associated with increased age, lower white blood cell (WBC) count, less frequent comutation of NPM1 and FLT3 internal tandem mutation (ITD) as well as with lower rate of complete remission and a trend toward reduced overall survival (OS) compared with other IDH1 mutation variants and wild-type (WT) IDH1/2. In our analysis, IDH2-R172K was associated with significantly lower WBC count, more karyotype abnormalities, and less frequent comutations of NPM1 and/or FLT3-ITD. Among patients within the European LeukemiaNet 2017 intermediate- and adverse-risk groups, relapse-free survival and OS were significantly better for those with IDH2-R172K compared with WT IDH, providing evidence that AML with IDH2-R172K could be a distinct entity with a specific comutation pattern and favorable outcome. In summary, the presented data from a large cohort of patients with IDH1/2 mutated AML indicate novel and clinically relevant findings for the most common IDH mutation subtypes.
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19
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Long-term survival after intensive chemotherapy or hypomethylating agents in AML patients aged 70 years and older: a large patient data set study from European registries. Leukemia 2021; 36:913-922. [PMID: 34775483 PMCID: PMC8979811 DOI: 10.1038/s41375-021-01425-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/02/2021] [Accepted: 09/13/2021] [Indexed: 11/25/2022]
Abstract
The outcome of acute myeloid leukemia patients aged 70 years or older is poor. Defining the best treatment option remains controversial especially when choosing between intensive chemotherapy and hypomethylating agents. We set up a multicentric European database collecting data of 3 700 newly diagnosed acute myeloid leukemia patients ≥70 years. The primary objective was to compare overall survival in patients selected for intensive chemotherapy (n = 1199) or hypomethylating agents (n = 1073). With a median follow-up of 49.5 months, the median overall survival was 10.9 (95% CI: 9.7–11.6) and 9.2 months (95% CI: 8.3–10.2) with chemotherapy and hypomethylating agents, respectively. Complete remission or complete remission with incomplete hematologic recovery was 56.1% and 19.7% with chemotherapy and hypomethylating agents, respectively (P < 0.0001). Treatment effect on overall survival was time-dependent. The Royston and Parmar model showed that patients treated with hypomethylating agents had a significantly lower risk of death before 1.5 months of follow-up; no significant difference between 1.5 and 4.0 months, whereas patients treated with intensive chemotherapy had a significantly better overall survival from four months after start of therapy. This study shows that intensive chemotherapy remains a valuable option associated with a better long-term survival in older AML patients.
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20
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Expression Levels of Il-6 and Il-18 in Acute Myeloid Leukemia and Its Relation with Response to Therapy and Acute GvHD After Bone Marrow Transplantation. Indian J Surg Oncol 2021; 12:465-471. [PMID: 34658572 DOI: 10.1007/s13193-021-01358-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 05/26/2021] [Indexed: 12/17/2022] Open
Abstract
Cytokines seem to play a crucial role in physiological and pathological conditions of acute myeloid leukemia (AML). The aim of this study was to evaluate the expression levels of interleukins-6 (IL-6) and IL-18 in patients with AML and its correlation with response to therapy and graft versus host disease (GvHD) after bone marrow transplantation. The expression levels of IL-6 and IL-18 genes were done in all patients and compared with matched control. Complete remission (CR) was used for evaluation of the effects of these cytokines on response to treatment in patients group. The expression level of these cytokines was also evaluated in patients who underwent bone marrow transplantation and experienced acute GvHD in compare with patients without aGvHD. Il-6 gene expression level was significantly higher in these patients in comparison with control but Il-18 gene expression level was not statistically significant compared to control group. Il-6 and also Il-18 expression levels were significantly higher in patients without a response to treatment according to CR compared to patient's whit response to treatment as well as patients experienced aGvHD after bone marrow transplantation. IL-6 and Il-18 are important markers in the progression of the disease and could be considered as a prognostic marker in acute leukemia. It is recommended that more studies with larger study groups and more involved cytokines are needed for more evaluation of the cytokine roles in pathophysiology and progression of acute leukemia.
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21
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Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears. Leukemia 2021; 36:111-118. [PMID: 34497326 PMCID: PMC8727290 DOI: 10.1038/s41375-021-01408-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/12/2021] [Accepted: 08/27/2021] [Indexed: 12/02/2022]
Abstract
The evaluation of bone marrow morphology by experienced hematopathologists is essential in the diagnosis of acute myeloid leukemia (AML); however, it suffers from a lack of standardization and inter-observer variability. Deep learning (DL) can process medical image data and provides data-driven class predictions. Here, we apply a multi-step DL approach to automatically segment cells from bone marrow images, distinguish between AML samples and healthy controls with an area under the receiver operating characteristic (AUROC) of 0.9699, and predict the mutation status of Nucleophosmin 1 (NPM1)—one of the most common mutations in AML—with an AUROC of 0.92 using only image data from bone marrow smears. Utilizing occlusion sensitivity maps, we observed so far unreported morphologic cell features such as a pattern of condensed chromatin and perinuclear lightening zones in myeloblasts of NPM1-mutated AML and prominent nucleoli in wild-type NPM1 AML enabling the DL model to provide accurate class predictions.
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22
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Itzykson R, Fournier E, Berthon C, Röllig C, Braun T, Marceau-Renaut A, Pautas C, Nibourel O, Lemasle E, Micol JB, Adès L, Lebon D, Malfuson JV, Gastaud L, Goursaud L, Raffoux E, Wattebled KJ, Rousselot P, Thomas X, Chantepie S, Cluzeau T, Serve H, Boissel N, Terré C, Celli-Lebras K, Preudhomme C, Thiede C, Dombret H, Gardin C, Duployez N. Genetic identification of patients with AML older than 60 years achieving long-term survival with intensive chemotherapy. Blood 2021; 138:507-519. [PMID: 34410352 DOI: 10.1182/blood.2021011103] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/05/2021] [Indexed: 02/06/2023] Open
Abstract
To design a simple and reproducible classifier predicting the overall survival (OS) of patients with acute myeloid leukemia (AML) ≥60 years of age treated with 7 + 3, we sequenced 37 genes in 471 patients from the ALFA1200 (Acute Leukemia French Association) study (median age, 68 years). Mutation patterns and OS differed between the 84 patients with poor-risk cytogenetics and the 387 patients with good (n = 13), intermediate (n = 339), or unmeasured (n = 35) cytogenetic risk. TP53 (hazards ratio [HR], 2.49; P = .0003) and KRAS (HR, 3.60; P = .001) mutations independently worsened the OS of patients with poor-risk cytogenetics. In those without poor-risk cytogenetics, NPM1 (HR, 0.57; P = .0004), FLT3 internal tandem duplications with low (HR, 1.85; P = .0005) or high (HR, 3.51; P < 10-4) allelic ratio, DNMT3A (HR, 1.86; P < 10-4), NRAS (HR, 1.54; P = .019), and ASXL1 (HR, 1.89; P = .0003) mutations independently predicted OS. Combining cytogenetic risk and mutations in these 7 genes, 39.1% of patients could be assigned to a "go-go" tier with a 2-year OS of 66.1%, 7.6% to the "no-go" group (2-year OS 2.8%), and 3.3% of to the "slow-go" group (2-year OS of 39.1%; P < 10-5). Across 3 independent validation cohorts, 31.2% to 37.7% and 11.2% to 13.5% of patients were assigned to the go-go and the no-go tiers, respectively, with significant differences in OS between tiers in all 3 trial cohorts (HDF [Hauts-de-France], n = 141, P = .003; and SAL [Study Alliance Leukemia], n = 46; AMLSG [AML Study Group], n = 223, both P < 10-5). The ALFA decision tool is a simple, robust, and discriminant prognostic model for AML patients ≥60 years of age treated with intensive chemotherapy. This model can instruct the design of trials comparing the 7 + 3 standard of care with less intensive regimens.
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Affiliation(s)
- Raphael Itzykson
- Service Hématologie Adultes, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- Génomes, Biologie Cellulaire et Thérapeutique, Unité 944, Université de Paris, Centre National de la Recherche Scientifique (CNRS), INSERM, Paris, France
| | - Elise Fournier
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | - Céline Berthon
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | - Christoph Röllig
- Medizinische Klinik and
- Poliklinik 1, Universitätsklinikum Techniche Universität Dresden, Dresden, Germany
| | - Thorsten Braun
- Service d'Hématologie Clinique, Hôpital Avicenne, AP-HP, Bobigny, France
| | - Alice Marceau-Renaut
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | - Cécile Pautas
- Service d'Hématologie Clinique, Hôpital Henri Mondor, AP-HP, Créteil, France
| | - Olivier Nibourel
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | - Emilie Lemasle
- Service d'Hématologie, Centre Henri Becquerel, Rouen, France
| | - Jean-Baptiste Micol
- Département d'Hématologie, Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Lionel Adès
- Service Hématologie Seniors, Hôpital Saint-Louis, AP-HP, Paris, France
| | | | - Jean-Valère Malfuson
- Service d'Hématologie Clinique, Hôpital d'Instruction des Armées Percy, Clamart, France
| | - Lauris Gastaud
- Département d'Oncologie Médicale, Centre Antoine Lacassagne, Nice, France
| | - Laure Goursaud
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | - Emmanuel Raffoux
- Service Hématologie Adultes, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | | | - Philippe Rousselot
- Département d'Hématologie Clinique, Hôpital André Mignot, Centre Hospitalier de Versailles, Le Chesnay, France
- Unité Mixte de Recherche (UMR) 1184, Infectious Disease Models for Innovative Therapies (IDMIT) Department, Université Paris-Saclay, Commissariat à l'Énergie Atomique et Aux Énergies Alternatives (CEA), INSERM, Paris, France
| | - Xavier Thomas
- Service d'Hématologie Clinique, Hospices Civils de Lyon, Hôpital Lyon Sud, Pierre-Bénite, France
| | | | - Thomas Cluzeau
- Service d'Hématologie, Université Cote d'Azur, CHU de Nice, Nice, France
| | - Hubert Serve
- Department of Medicine 2, Hematology and Oncology, Goethe University Frankfurt, Frankfurt, Germany
| | - Nicolas Boissel
- Service Hématologie Adolescents Jeunes Adultes, Hôpital Saint-Louis, AP-HP, Paris, France
| | - Christine Terré
- Laboratoire de Cytogénétique, CH Versailles, Le Chesnay, France
| | | | - Claude Preudhomme
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
| | | | - Hervé Dombret
- Service Hématologie Adultes, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- Institut de Recherche Saint-Louis (IRSL), Equipe d'Accueil (EA) 3518, Université de Paris, Hôpital Saint-Louis, Paris, France
| | - Claude Gardin
- Service d'Hématologie Clinique, Hôpital Avicenne, AP-HP, Bobigny, France
- Institut de Recherche Saint-Louis (IRSL), Equipe d'Accueil (EA) 3518, Université de Paris, Hôpital Saint-Louis, Paris, France
| | - Nicolas Duployez
- Département d'Hématologie, Canther (Cancer Heterogeneity, Plasticity and Resistance to Therapies), Unité 1277, Centre Hospitalier Universitaire de Lille, Université de Lille, INSERM, Lille, France
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23
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Xu Q, He S, Yu L. Clinical Benefits and Safety of Gemtuzumab Ozogamicin in Treating Acute Myeloid Leukemia in Various Subgroups: An Updated Systematic Review, Meta-Analysis, and Network Meta-Analysis. Front Immunol 2021; 12:683595. [PMID: 34484181 PMCID: PMC8415423 DOI: 10.3389/fimmu.2021.683595] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/27/2021] [Indexed: 01/11/2023] Open
Abstract
Background Previous trials demonstrated evidence involving the total effects of gemtuzumab ozogamicin (GO), an anti-CD33 humanized antibody, on treating acute myeloid leukemia (AML). In this updated systematic review, meta-analysis, and network meta-analysis (NMA), we aimed to comprehensively explore the clinical benefits and safety of GO in various subtypes of AML. Methods PubMed, Embase, Cochrane, and Chinese databases were filtered to search randomized controlled trials (RCTs) and retrospective cohort studies that compared clinical efficiency and toxicity of GO with non-GO groups in AML. Random-effects models were used to calculate pooled effect sizes and 95% confidence intervals (CIs). Relative risk (RR) was used for estimating complete remission (CR), early death, and toxicity. Hazard risk (HR) was accomplished to evaluate survival. Results Fifteen RCTs and 15 retrospective cohort studies were identified (GO: 4,768; Control: 6,466). GO tended to improve CR (RR 0.95, p = 0.084), followed by significantly improved survival (overall survival: HR 0.86, p = 0.003; event-free survival: HR 0.86, p = 0.015; relapse-free survival: HR 0.83, p = 0.001; cumulative incidence of relapse: HR 0.82, p < 0.001). GO benefits of CR and survival were evident in favorable- and intermediate-risk karyotypes (p ≤ 0.023). GO advantages were also associated with nucleophosmin 1 mutations (p ≤ 0.04), wild-type FMS-like tyrosine kinase 3 internal tandem duplication gene (p ≤ 0.03), age of <70 years (p < 0.05), de novo AML (p ≤ 0.017), and CD33(+) (p ≤ 0.021). Both adding GO into induction therapy (p ≤ 0.011) and a lower (<6 mg/m2) dose of GO (p ≤ 0.03) enhanced survival. Prognosis of combined regimens with GO was heterogeneous in both meta-analysis and NMA, with several binding strategies showing improved prognosis. Additionally, GO was related to increased risk of early death at a higher dose (≥6 mg/m2) (RR 2.01, p = 0.005), hepatic-related adverse effects (RR 1.29, p = 0.02), and a tendency of higher risk for hepatic veno-occlusive disease or sinusoidal obstruction syndrome (RR 1.56, p = 0.072). Conclusions These data indicated therapeutic benefits and safety of GO in AML, especially in some subtypes, for which further head-to-head RCTs are warranted. Systematic Review Registration [PROSPERO: https://www.crd.york.ac.uk/prospero/], identifier [CRD42020158540].
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MESH Headings
- Antineoplastic Agents, Immunological/administration & dosage
- Antineoplastic Agents, Immunological/adverse effects
- Antineoplastic Agents, Immunological/therapeutic use
- Biomarkers, Tumor
- Gemtuzumab/administration & dosage
- Gemtuzumab/adverse effects
- Gemtuzumab/therapeutic use
- Humans
- Karyotype
- Leukemia, Myeloid, Acute/diagnosis
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/etiology
- Leukemia, Myeloid, Acute/mortality
- Molecular Targeted Therapy
- Mutation
- Prognosis
- Sialic Acid Binding Ig-like Lectin 3/antagonists & inhibitors
- Treatment Outcome
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Affiliation(s)
- Qingyu Xu
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
- Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Shujiao He
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
| | - Li Yu
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
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Kayser S, Kramer M, Martínez-Cuadrón D, Grenet J, Metzeler KH, Sustkova Z, Luskin MR, Brunner AM, Elliott MA, Gil C, Marini SC, Ráčil Z, Cetkovsky P, Novak J, Perl AE, Platzbecker U, Stölzel F, Ho AD, Thiede C, Stone RM, Röllig C, Montesinos P, Schlenk RF, Levis MJ. Characteristics and outcome of patients with core-binding factor acute myeloid leukemia and FLT3-ITD: results from an international collaborative study. Haematologica 2021; 107:836-843. [PMID: 34348451 PMCID: PMC8968900 DOI: 10.3324/haematol.2021.278645] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Indexed: 02/02/2023] Open
Abstract
The aim of this study was to evaluate the prognostic impact of FLT3-ITD in core-binding factor acute myeloid leukemia (CBFAML) in an international, multicenter survey of 97 patients of whom 52% had t(8;21)(q22;q22) and 48% had inv(16)(p13q22)/t(16;16)(p13;q22). The median age of the patients was 53 years (range, 19-81). Complete remission after anthracycline-based induction (n=86) and non-intensive therapy (n=11) was achieved in 97% and 36% of the patients, respectively. The median follow-up was 4.43 years (95% confidence interval [95% CI]: 3.35-7.39 years). The median survival after intensive and non-intensive treatment was not reached and 0.96 years, respectively. Among intensively treated patients, inv(16) with trisomy 22 (n=11) was associated with a favorable 4-year relapse-free survival rate of 80% (95% CI: 59-100%) as compared to 38% (95% CI: 27-54%; P=0.02) in all other patients with CBFAML/ FLT3-ITD (n=75). Overall, 24 patients underwent allogeneic hematopoietic cell transplantation (HCT), 12 in first complete remission and 12 after relapse. Allogeneic HCT in first complete remission was not beneficial (P=0.60); however, allogeneic HCT seemed to improve median survival in relapsed patients compared to that of patients treated with chemotherapy (not reached vs. 0.6 years, respectively; P=0.002). Excluding patients with inv(16) with trisomy 22, our data indicate that compathe outcome of CBF-AML patients with FLT3-ITD may be inferior to that of patients without FLT3-ITD (based on previously published data), suggesting that prognostically CBF-AML patients with FLT3-ITD should not be classified as favorable-risk. FLT3-inhibitors may improve the outcome of these patients.
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Affiliation(s)
- Sabine Kayser
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany,NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany,SABINE KAYSER
| | - Michael Kramer
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Germany
| | - David Martínez-Cuadrón
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Justin Grenet
- Division of Hematology & Oncology, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Klaus H. Metzeler
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany,Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Zuzana Sustkova
- Department of Internal Medicine, Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Marlise R. Luskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Michelle A. Elliott
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Sandra Casal Marini
- Department of Clinical Haematology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Zdeněk Ráčil
- Department of Internal Medicine, Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic,Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Petr Cetkovsky
- Department of Internal Medicine and Haematology, 3 Faculty of Medicine, Charles University and Faculty Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Jan Novak
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Alexander E. Perl
- Division of Hematology & Oncology, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Uwe Platzbecker
- Medical Clinic and Policlinic I, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany
| | - Friedrich Stölzel
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Germany
| | - Anthony D. Ho
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Thiede
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Germany
| | - Richard M. Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Christoph Röllig
- Department of Medicine I, University Hospital Carl-Gustav-Carus, Dresden, Germany
| | - Pau Montesinos
- Hematology Department, Hospital Universitari i Politècnic, La Fe, València, Spain,CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Richard F. Schlenk
- NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany,Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany,RFS and MJL contributed equally as co-senior authors
| | - Mark J. Levis
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA,RFS and MJL contributed equally as co-senior authors
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25
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Rosko AE, Cordoba R, Abel G, Artz A, Loh KP, Klepin HD. Advances in Management for Older Adults With Hematologic Malignancies. J Clin Oncol 2021; 39:2102-2114. [PMID: 34043442 PMCID: PMC8260925 DOI: 10.1200/jco.21.00242] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/23/2021] [Accepted: 03/10/2021] [Indexed: 12/11/2022] Open
Affiliation(s)
- Ashley E. Rosko
- Division of Hematology, The Ohio State University, Columbus, OH
| | - Raul Cordoba
- Lymphoma Unit, Department of Hematology, Fundacion Jimenez Diaz University Hospital, Health Research Institute IIS-FJD, Madrid, Spain
| | - Gregory Abel
- Leukemia Program, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Andrew Artz
- Department of Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, CA
| | - Kah Poh Loh
- James P. Wilmot Cancer Center, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | - Heidi D. Klepin
- Section on Hematology and Oncology, Wake Forest Baptist Health, Winston-Salem, NC
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26
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High lactate dehydrogenase at time of admission for allogeneic hematopoietic transplantation associates to poor survival in acute myeloid leukemia and non-Hodgkin lymphoma. Bone Marrow Transplant 2021; 56:2690-2696. [PMID: 34188181 DOI: 10.1038/s41409-021-01377-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 05/06/2021] [Accepted: 06/09/2021] [Indexed: 11/08/2022]
Abstract
Risk stratification is important for balancing potential risks and benefits of allogeneic hematopoietic stem cell transplantation (HSCT) for hematological malignancies. We retrospectively studied 1119 patients undergoing allogenic-HSCT in a single center for five hematological indications assessing the prognostic role of LDH at admission for survival (OS), progression-free survival (PFS), relapse incidence (RI), and nonrelapse mortality (NRM). In non-Hodgkin lymphoma (NHL) and acute myeloid leukemia (AML), higher than median LDH had an adverse effect on survival. The prognostic significance was strongest in AML, with higher LDH levels having lower 1-and 3-year survival 69.2% vs. 50.8%, P < 0.001 and 51.9% vs. 39.2%, P < 0.001, respectively, reduced 1-and 3-year PFS 62.4% vs. 42.1%, P < 0.001 48% vs. 35.2%, P < 0.001, respectively, higher cumulative incidence of 1-and 3-year NRM 11% vs. 17.3%, p = 0.01 and 15.7% vs. 19.6%, P = 0.04, and higher 1-and 3-year relapse incidence (RI) 26.7% vs. 40.7%, p < .0001 36.2% vs. 40.7%, respectively, P < 0.0001). In multivariate analysis LDH maintained significant prognostic capacity in OS, PFS and RI. These findings in AML, validated in an independent cohort, suggest that LDH is a readily available tool that could be integrated into transplant risk assessments to aid decision-making and identify high-risk patients who may benefit from post-transplant pharmacological or cellular strategies.
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27
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Xu Q, He S, Yu L. Clinical Benefits and Safety of FMS-Like Tyrosine Kinase 3 Inhibitors in Various Treatment Stages of Acute Myeloid Leukemia: A Systematic Review, Meta-Analysis, and Network Meta-Analysis. Front Oncol 2021; 11:686013. [PMID: 34150652 PMCID: PMC8209493 DOI: 10.3389/fonc.2021.686013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/11/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Given the controversial roles of FMS-like tyrosine kinase 3 inhibitors (FLT3i) in various treatment stages of acute myeloid leukemia (AML), this study was designed to assess this problem and further explored which FLT3i worked more effectively. METHODS A systematic review, meta-analysis and network meta-analysis (NMA) were conducted by filtering PubMed, Embase, Cochrane library, and Chinese databases. We included studies comparing therapeutic effects between FLT3i and non-FLT3i group in AML, particularly FLT3(+) patients, or demonstrating the efficiency of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in FLT3(+) AML. Relative risk (RR) with 95% confidence intervals (CI) was used for estimating complete remission (CR), early death and toxicity. Hazard ratio (HR) was used to assess overall survival (OS), event-free survival (EFS), relapse-free survival (RFS) and cumulative incidence of relapse (CIR). RESULTS After addressing all criteria, 39 studies were eventually analyzed. Better CR was accomplished by FLT3i in untreated AML (RR 0.88, p = 0.04) and refractory and relapsed FLT3(+) AML (rrAML) (RR 0.61, p < 0.01) compared to non-FLT3i arm, followed by improved survival (untreated AML: OS, HR 0.76; EFS, HR 0.67; RFS, HR 0.72; all p < 0.01; FLT3(+) rrAML: OS, HR 0.60, p < 0.01; RFS, HR 0.40, p = 0.01). In addition, allo-HSCT improved survival in FLT3(+) AML (OS, HR 0.53; EFS, HR 0.50; RFS, HR 0.57; CIR, HR 0.26; all p < 0.01), which was further prolonged by FLT3i administrated after allo-HSCT (OS, HR 0.45; RFS, HR 0.34; CIR, HR 0.32; all p < 0.01). Additionally, FLT3i consistently improved OS (p < 0.05) regardless of FLT3-ITD ratio, when compared to non-FLT3i group. Besides, FLT3i showed significantly increased risk of thrombocytopenia, neutropenia, anemia, skin- and cardiac-related adverse effects, increased alanine aminotransferase, and increased risk of cough and dyspnea (p < 0.05). In NMA, gilteritinib showed the highest probability for improved prognosis. CONCLUSIONS FLT3i safely improved prognosis in induction/reinduction stage of FLT3(+) AML and further boosted survival benefits from allo-HSCT as maintenance therapy, suggesting better prognosis if FLT3i is combined before and after allo-HSCT. In NMA, gilteritinib potentially achieved the best prognosis, which should be identified in direct trials.
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Affiliation(s)
- Qingyu Xu
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
- Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Shujiao He
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
| | - Li Yu
- Department of Hematology and Oncology, International Cancer Center, Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University Health Science Center, Shenzhen, China
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28
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Loss-of-Function Mutations of BCOR Are an Independent Marker of Adverse Outcomes in Intensively Treated Patients with Acute Myeloid Leukemia. Cancers (Basel) 2021; 13:cancers13092095. [PMID: 33926021 PMCID: PMC8123716 DOI: 10.3390/cancers13092095] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/15/2021] [Accepted: 04/22/2021] [Indexed: 12/19/2022] Open
Abstract
Acute myeloid leukemia (AML) is characterized by recurrent genetic events. The BCL6 corepressor (BCOR) and its homolog, the BCL6 corepressor-like 1 (BCORL1), have been reported to be rare but recurrent mutations in AML. Previously, smaller studies have reported conflicting results regarding impacts on outcomes. Here, we retrospectively analyzed a large cohort of 1529 patients with newly diagnosed and intensively treated AML. BCOR and BCORL1 mutations were found in 71 (4.6%) and 53 patients (3.5%), respectively. Frequently co-mutated genes were DNTM3A, TET2 and RUNX1. Mutated BCORL1 and loss-of-function mutations of BCOR were significantly more common in the ELN2017 intermediate-risk group. Patients harboring loss-of-function mutations of BCOR had a significantly reduced median event-free survival (HR = 1.464 (95%-Confidence Interval (CI): 1.005-2.134), p = 0.047), relapse-free survival (HR = 1.904 (95%-CI: 1.163-3.117), p = 0.01), and trend for reduced overall survival (HR = 1.495 (95%-CI: 0.990-2.258), p = 0.056) in multivariable analysis. Our study establishes a novel role for loss-of-function mutations of BCOR regarding risk stratification in AML, which may influence treatment allocation.
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Cortes JE, Mehta P. Determination of fitness and therapeutic options in older patients with acute myeloid leukemia. Am J Hematol 2021; 96:493-507. [PMID: 33368536 PMCID: PMC7986910 DOI: 10.1002/ajh.26079] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/15/2020] [Accepted: 12/20/2020] [Indexed: 12/11/2022]
Abstract
Treatment of older patients with AML remains challenging. Although age, performance status, and comorbidities are commonly employed to determine fitness for intensive treatment, several studies have demonstrated improved outcomes with treatment in older and classically unfit patients, highlighting the importance of other disease-related and patient-related factors that have prognostic value for treatment outcome in AML. However, consistent and objective assessments for fitness are lacking. Multi-parameter geriatric assessment tools offer more comprehensive evaluation, but are limited by the required resources and lack of standardization and consensus regarding prognostic value. These assessments are particularly important considering the emerging new AML therapies that represent a spectrum of intensities. Patients should therefore be evaluated holistically for fitness to receive a specific treatment, with the aim of providing individualized care, and such definitions of fitness should also consistently be applied to clinical trials. This review will examine evolving criteria for the determination of fitness among AML patients and discuss treatment options for older and/or unfit patients with AML.
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Affiliation(s)
- Jorge E. Cortes
- Georgia Cancer Center Augusta University Augusta Georgia USA
| | - Priyanka Mehta
- Department of Haematology University Hospitals Bristol, NHS Foundation Trust Bristol UK
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Lin TL, Pagano L. The important role of intensive induction chemotherapy in the treatment of acute myeloid leukemia. Expert Rev Hematol 2021; 14:303-314. [PMID: 33593202 DOI: 10.1080/17474086.2021.1886920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Introduction: Intensive induction chemotherapy followed by post-remission consolidation and/or allogeneic hematopoietic transplantation has been a standard-of-care therapy for acute myeloid leukemia (AML) for decades. In recent years, a plethora of new agents have been approved for AML treatment, dramatically changing the AML treatment landscape.Areas covered: This review provides an overview of the current role of intensive chemotherapy in the changing AML treatment landscape. PubMed-indexed publications (through 2020) and abstracts presented at major national and international conferences were reviewed for inclusion.Expert opinion: While intensive chemotherapy is standard-of-care therapy for younger patients with AML, older patients were historically viewed as universally ineligible for intensive chemotherapy; however, several studies suggest many older patients benefit from intensive chemotherapy with a curative intent, and a more holistic approach to determining eligibility for intensive treatment is recommended. Intensive strategies have also been expanded to include novel chemotherapy designs and chemotherapy in combination with targeted agents for patients with certain disease characteristics, which may permit more personalized treatment decisions. Intensive chemotherapy continues to play a pivotal role for the management of many AML patients and can offer the best chance of long-term remission, especially when followed by transplantation.
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Affiliation(s)
- Tara L Lin
- Medicine, Division of Hematologic Malignancies and Cellular Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Livio Pagano
- Hematology, Fondazione Policlinico Universitario Agostino Gemelli - IRCCS, Rome, Italy.,Hematology, Università Cattolica del Sacro Cuore, Rome, Italy
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Ma TT, Lin XJ, Cheng WY, Xue Q, Wang SY, Liu FJ, Yan H, Zhu YM, Shen Y. Development and validation of a prognostic model for adult patients with acute myeloid leukaemia. EBioMedicine 2020; 62:103126. [PMID: 33232873 PMCID: PMC7689519 DOI: 10.1016/j.ebiom.2020.103126] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/28/2020] [Accepted: 10/28/2020] [Indexed: 12/22/2022] Open
Abstract
Background The high heterogeneity of acute myeloid leukaemia (AML) reflected in the patient- and disease-related factors accounts for the unsatisfactory prognosis despite the introduction of novel therapeutic approaches and drugs in recent years. Methods In the development set (n = 412), parameters including age, hematopoietic cell transplantation-comorbidity index, white blood cell count, hemoglobin, biallelic CEBPA mutations, DNMT3A mutations, FLT3-ITD/NPM1 status, and ELN cytogenetic risk status were identified as independent prognostic factors for overall survival (OS) in the multivariable Cox regression analysis. A nomogram combining these predictors for individual risk estimation was established thereby. Findings The prognostic model demonstrated promising performance in the development cohort. The calibration plot, C-index (0.74), along with the 1-, 2- and 3-year area under the receiver operating characteristic curve (AUC, 0.76, 0.79, and 0.74, respectively) in the validation set (n = 238) substantiated the robustness of the model. In addition to stratifying young (age ≤ 60 years) and elderly patients (age > 60 years) into three and two risk groups with significant distinct outcomes, the prognostic model succeeded in distinguishing eligible candidates for hematopoietic stem cell transplantation. Interpretation The prognostic model is capable of survival prediction, risk stratification and helping with therapeutic decision-making with the use of easily acquired variables in daily clinical routine. Funding This work was supported in part by grants from the National Natural Science Foundation of China (81770141), the National Key R&D Program of China (2016YFE0202800), and Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support (20161406).
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Affiliation(s)
- Ting-Ting Ma
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Xiao-Jing Lin
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Wen-Yan Cheng
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Qing Xue
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Shi-Yang Wang
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Fu-Jia Liu
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Han Yan
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Yong-Mei Zhu
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China
| | - Yang Shen
- Shanghai Institute of Haematology, Department of Haematology, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
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32
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Sustkova Z, Semerad L, Weinbergerova B, Mayer J. How to select older patients with acute myeloid leukemia fit for intensive treatment? Hematol Oncol 2020; 39:151-161. [PMID: 32893381 DOI: 10.1002/hon.2798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/25/2020] [Accepted: 08/27/2020] [Indexed: 11/08/2022]
Abstract
Outcomes of the treatment of older patients with acute myeloid leukemia (AML) are unsatisfactory due to a higher incidence of negative patient- and disease-related risk factors connected with aging. Prediction of poor tolerance to aggressive treatment and low response to standard intensive chemotherapy are the main root causes why the treatment decision is challenging. For a long time, negative prognostic factors for treatment outcomes, overall survival, and early death such as the age itself, low-performance status, high-comorbidity burden, adverse cytogenetics, and secondary AML have been known, and they are routinely taken into account during therapeutic balance. In consideration of the risk factors and specific laboratory results, prognostic models have been created. Despite the abovementioned facts, the survival of older patients with AML remains very poor, that holds true even for the intensive therapy. For that reason, there is an increased effort to find a better approach how to select patients who would benefit from intensive treatment without decreasing their quality of life through severe complications with risk of high treatment-related mortality. Based on the results of clinical studies, the geriatric assessment could be the missing step which would help select older patients who are really fit for intensive treatment and who will benefit from it the most. This review focuses on the risk factors that should be taken under advisement when the decision about the treatment is made. With reference to the published information, we propose an algorithm how to identify fit, vulnerable, and frail patients.
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Affiliation(s)
- Zuzana Sustkova
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Lukas Semerad
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Barbora Weinbergerova
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic
| | - Jiri Mayer
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
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33
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Zhang JY, Li L, Liu W, Jin Y, Zhao M, Zhou Y, Fan Z. Comparison of efficacy of HCAG and CAG re-induction chemotherapy in elderly low- and intermediate-risk group patients diagnosed with acute myeloid leukemia. Clin Transl Oncol 2020; 23:48-57. [PMID: 32458310 DOI: 10.1007/s12094-020-02383-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 05/10/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE The present study aimed to investigate the efficacy and severity of adverse effects of HCAG and CAG re-induction chemotherapy in elderly low- and intermediate-risk group patients diagnosed with acute myeloid leukemia (AML) following induction failure. METHODS A total of 94 AML patients were enrolled in the study, of whom 46 were treated with HCAG chemotherapy, while 48 were treated with CAG chemotherapy. RESULT The complete remission (CR) was 39.6% in the patients with HCAG, while the CR was 33.3% in the CAG group. The overall remission (ORR) was 63.0% and 43.5% in patients of the HCAG and CAG groups, respectively (P = 0.038). The median survival time of progression free survival (PFS) was 8.0 (95% CI 3.843-10.157) months in the HCAG group and 7.0 (95% CI 2.682-13.318) months in the CAG group (P = 0.032). A total of 31 patients in the HCAG group suffered from grade 4 hematological toxicity, whereas 29 patients were treated with CAG (P = 0.622). A total of 27 (58.7%) cases indicated apparent pulmonary infection in the HCAG group, while 25 (52.1%) were noted with this complication in the CAG group (P = 0.519). Oral cavity toxicity was evident for 13 (28.3%) and 11 (23.0%) cases in the HCAG and CAG groups, respectively (P = 0.216). CONCLUSION The HCAG regimen was more effective than the CAG regimen in elderly low- and intermediate-risk group patients diagnosed with acute myeloid leukemia although the HCAG regimen exhibited similar toxicity with that of the CAG group.
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Affiliation(s)
- J Y Zhang
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - L Li
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China.
| | - W Liu
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - Y Jin
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - M Zhao
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - Y Zhou
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
| | - Z Fan
- Lishui Municipal Central Hospital, Lishui, Zhejiang, China
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Rodríguez-Medina C, Martínez-Cuadrón D, Cano I, Gil C, Tormo M, Del Pilar Martínez-Sánchez M, Del Castillo TB, Serrano-López J, Benavente C, Herrera-Puente P, García-Boyero R, Lavilla-Rubira E, Amigo ML, Sayas-Lloris M, Bergua-Burgues JM, Pérez-Simón JA, Rodríguez G, Espadana A, Vidriales-Vicente B, Fernández R, López-Lorenzo JL, López M, García-Fortes M, Labrador Gómez J, Colorado-Araujo M, Sossa-Melo CL, Aguilar E, Montesinos Fernández P. Performance of prognostic scoring systems in elderly patients with acute myeloid leukaemia on intensive chemotherapy: A PETHEMA registry study. Leuk Res 2020; 92:106352. [PMID: 32240863 DOI: 10.1016/j.leukres.2020.106352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 03/16/2020] [Accepted: 03/18/2020] [Indexed: 11/30/2022]
Abstract
Selection of elderly patients (aged ≥60 years) for intensive chemotherapy treatment of acute myeloblastic leukaemia (AML) remains challenging. Several cooperative groups such as Acute Leukaemia French Association (ALFA), Haematological Oncology Clinical Studies Group (HOCSG) and MD Anderson Cancer Center (MDACC) have developed predictive models to select those patients who can benefit from intensive chemotherapy. Our purpose is to validate and compare these three models in a cohort of patients treated in real-life setting. For this, a total of 1724 elderly AML patients and treated with intensive chemotherapy regimens were identified in the PETHEMA registry. Median age was 67.2 years (range, 60-84,9) and median overall survival [OS] 9 months (95 % confidence interval [CI], 8.2-9.7). Taking into account the ALFA group's model, patients likely to benefit from intensive chemotherapy had longer OS (14 months, 95 % CI 12.3-15.7) than those unlikely to benefit (5 months, 95 % CI 4.1-5.9; p < 0.001). Significant differences in OS were observed between patients with favourable risk (17 months, 95 % CI 13.2-20.7), intermediate risk (11 months, 95 % CI 9.3-12.6) and adverse risk (6 months, 95 % CI 5.1-6.4; p < 0.001) according to the HOCSG model. No significant differences in OS were observed between patients with 0, 1, 2 or ≥3 points according to the MDACC model. However, when patients with ≥1 point were compared with those with 0 points, median OS was significantly longer in the latter [15 months (95 % CI 12.1-17.8) vs 7 (95 % CI 5.7-8.5)]. This retrospective study validates predictive models proposed by the ALFA, HOCSG and MDACC groups in this real-life cohort.
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Affiliation(s)
- Carlos Rodríguez-Medina
- Hospital Universitario de Gran Canaria Doctor Negrín, Calle Barranco de la Ballena, s/n, CP 35010 Las Palmas de Gran Canaria, Spain.
| | - David Martínez-Cuadrón
- Hospital Universitari i Politècnic La Fe, Avinguda de Fernando Abril Martorell, 106, 46026 Valencia, Spain; CIBERONC, Instituto Carlos III, Madrid, Spain
| | - Isabel Cano
- Hospital Universitari i Politècnic La Fe, Avinguda de Fernando Abril Martorell, 106, 46026 Valencia, Spain
| | - Cristina Gil
- Hospital General Universitario de Alicante, Pintor Baeza, 11, 03010 Alicante, Spain
| | - Mar Tormo
- Hospital Clínico Universitario, INCLIVA Biomedical Research Institute, Av. de Blasco Ibáñez, 17, 46010 Valencia, Spain
| | | | - Teresa Bernal Del Castillo
- Hospital Universitario Central de Asturias, Calle de la aldea de Cerdeño esquina con, Av. del Hospital Universitario, 33011 Oviedo, Spain
| | | | - Celina Benavente
- Hospital Clínico San Carlos, C/ Profesor Martín Lagos, s/n, Madrid, Spain
| | | | - Raimundo García-Boyero
- Hospital General Universitari de Castelló, Avinguda de Benicàssim, 128, 12004 Castelló de la Plana, Spain
| | | | - Mª Luz Amigo
- Hospital General Universitario Morales Meseguer, Av Marqués de los Vélez, s/n, 30008 Murcia, Spain
| | - MªJose Sayas-Lloris
- Hospital Universitari Doctor Peset, Av. de Gaspar Aguilar, 90, 46017 Valencia, Spain
| | | | | | - Gabriela Rodríguez
- Hospital Gregorio Marañón, Calle del Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Ana Espadana
- Centro Hospitalar e Universitário de Coimbra, Quinta dos Vales, São Martinho do Bispo 108, 3041-801 Coimbra, Portugal
| | - Belén Vidriales-Vicente
- Complejo Asistencial Universitario de Salamanca, Paseo de San Vicente, 182, 37007 Salamanca, Spain
| | - Rosa Fernández
- Hospital Universitario Insular de Gran Canaria, Calle Francisco Hernández González, 1, 35016 Las Palmas de Gran Canaria, Spain
| | - Jose Luis López-Lorenzo
- Hospital Universitario Fundación Jiménez Díaz, Av. de los Reyes Católicos, 2, 28040 Madrid, Spain
| | - María López
- Hospital General de Valencia, Av. de les Tres Creus, 2, 46014 Valencia, Spain
| | - María García-Fortes
- Hospital Universitario Virgen de la Victoria, Campus de Teatinos, S/N, 29010 Málaga, Spain
| | | | | | - Claudia Lucia Sossa-Melo
- Clínica FOSCAL, Production Unity of Advanced Therapy, Fundación Ofalmológica de Santander, Clínica Carlos Ardila Lulle (FOSCAL Internacional), Bucaramanga, Colombia
| | - Eliana Aguilar
- Centro Hospitalar São João, Alameda Professor Hernâni Monteir, 4200-319 Porto, Portugal
| | - Pau Montesinos Fernández
- Hospital Universitari i Politècnic La Fe, Avinguda de Fernando Abril Martorell, 106, 46026 Valencia, Spain; CIBERONC, Instituto Carlos III, Madrid, Spain
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Delivering intensive therapies to older adults with hematologic malignancies: strategies to personalize care. Blood 2020; 134:2013-2021. [PMID: 31805199 DOI: 10.1182/blood.2019001300] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 07/30/2019] [Indexed: 12/23/2022] Open
Abstract
Intensive therapies are often medically indicated for older adults with hematologic malignancies. These may include induction chemotherapy for acute myeloid leukemia (AML), as well as autologous hematopoietic cell transplant (autoHCT) and allogeneic hematopoietic cell transplant (alloHCT). However, it is not always clear how to best deliver these therapies, in terms of determining treatment eligibility, as well as adjusting or adding supportive measures to the treatment plan to maximize successful outcomes. Beyond performance status and presence of comorbidities, comprehensive geriatric assessment and individual geriatric metrics have increasingly been used to prognosticate in these settings and may offer the best approach to personalizing therapy. In the setting of AML induction, evidence supports the use of measures of physical function as independent predictors of survival. For patients undergoing alloHCT, functional status, as measured by instrumental activities of daily living (IADL) and gait speed, may be an important pretransplant assessment. IADL has also been associated with post-autoHCT morbidity and mortality. Current best practice includes assessment of relevant geriatric metrics prior to intensive therapy, and work is ongoing to develop complementary interventions.
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Talati C, Dhulipala VC, Extermann MT, Ali NA, Kim J, Komrokji R, Sweet K, Kuykendall A, Sehovic M, Reljic T, Djulbegovic B, Lancet JE. Comparisons of commonly used front-line regimens on survival outcomes in patients aged 70 years and older with acute myeloid leukemia. Haematologica 2020; 105:398-406. [PMID: 31073071 PMCID: PMC7012500 DOI: 10.3324/haematol.2018.208637] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 05/07/2019] [Indexed: 12/03/2022] Open
Abstract
In older patients with acute myeloid leukemia, the more frequent presence of biologically inherent therapy-resistant disease and increased comorbidities translate to poor overall survival and therapeutic challenges. Optimal front-line therapies for older patients with acute myeloid leukemia remain controversial. We retrospectively evaluated survival outcomes in 980 elderly (≥70 years) acute myeloid leukemia patients from a single institution between 1995 and 2016. Four treatment categories were compared: high-intensity (daunorubicin/cytarabine or equivalent), hypomethylating agent, low-intensity (low-dose cytarabine or similar without hypomethylating agents), and supportive care therapy (including hydroxyurea). At a median follow up of 20.5 months, the median overall survival for the entire cohort was 7.1 months. Multivariate analysis identified secondary acute myeloid leukemia, poor-risk cytogenetics, performance status, front-line therapy, age, white blood cell count, platelet count, and hemoglobin level at diagnosis as having an impact on survival. High-intensity therapy was used in 360 patients (36.7%), hypomethylating agent in 255 (26.0%), low-intensity therapy in 91 (9.3%), and supportive care in 274 (28.0%). Pairwise comparisons between hypomethylating agent therapy and the three other treatment groups demonstrated statistically significant superior median overall survival with hypomethylating agent [14.4 months) vs. high-intensity therapy 10.8 months, hazard ratio 1.35, 95% confidence interval (CI): 1.10-1.65; P =0.004], low-intensity therapy (5.9 months, hazard ratio 2.01, 95%CI: 1.53-2.62; P<0.0001), and supportive care (2.1 months, hazard ratio 2.94, 95%CI: 2.39-3.61; P<0.0001). Our results indicate a significant survival benefit with hypomethylating agents compared to high-intensity, low-intensity, or supportive care. Additionally, high-intensity chemotherapy resulted in superior overall outcomes compared to low-intensity therapy and supportive care. Results from this study highlight the need for novel therapeutic approaches besides utilization of intensive chemotherapy in this specific aged population.
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Affiliation(s)
- Chetasi Talati
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | - Mar Tine Extermann
- Senior Adult Oncology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Department of Oncology Sciences, University of South Florida, Tampa, FL
| | - Najla Al Ali
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Jongphil Kim
- Maur y Regional Cancer Center, Columbia, TN.,Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL
| | - Rami Komrokji
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Malignant Hematology Department, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Kendra Sweet
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Malignant Hematology Department, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Andrew Kuykendall
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Maur y Regional Cancer Center, Columbia, TN
| | - Marina Sehovic
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Tea Reljic
- Maur y Regional Cancer Center, Columbia, TN
| | - Benjamin Djulbegovic
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Maur y Regional Cancer Center, Columbia, TN
| | - Jeffrey E Lancet
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.,Malignant Hematology Department, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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Schlenk RF, Paschka P, Krzykalla J, Weber D, Kapp-Schwoerer S, Gaidzik VI, Leis C, Fiedler W, Kindler T, Schroeder T, Mayer K, Lübbert M, Wattad M, Götze K, Horst HA, Koller E, Wulf G, Schleicher J, Bentz M, Greil R, Hertenstein B, Krauter J, Martens U, Nachbaur D, Abu Samra M, Girschikofsky M, Basara N, Benner A, Thol F, Heuser M, Ganser A, Döhner K, Döhner H. Gemtuzumab Ozogamicin in NPM1-Mutated Acute Myeloid Leukemia: Early Results From the Prospective Randomized AMLSG 09-09 Phase III Study. J Clin Oncol 2019; 38:623-632. [PMID: 31851556 PMCID: PMC7030890 DOI: 10.1200/jco.19.01406] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
PURPOSE High CD33 expression in acute myeloid leukemia (AML) with mutated NPM1 provides a rationale for the evaluation of gemtuzumab ozogamicin (GO) in this AML entity. We conducted a randomized trial to evaluate GO in combination with intensive induction and consolidation therapy in NPM1-mutated AML. PATIENTS AND METHODS Between May 2010 and September 2017, patients ≥ 18 years old and considered eligible for intensive therapy were randomly assigned up front for induction therapy with idarubicin, cytarabine, etoposide, and all-trans-retinoic acid with or without GO. The early (P = .02) primary end point of event-free survival (EFS) was evaluated 6 months after completion of patient recruitment. RESULTS Five hundred eighty-eight patients were randomly assigned (standard arm, n = 296; GO arm, n = 292). EFS in the GO arm was not significantly different compared with that in the standard arm (hazard ratio, 0.83; 95% CI, 0.65 to 1.04; P = .10). The early death rate during induction therapy was 10.3% in the GO arm and 5.7% in the standard arm (P = .05). Causes of death in both arms were mainly infections. The cumulative incidence of relapse (CIR) in patients achieving a complete remission (CR) or CR with incomplete hematologic recovery (CRi) was significantly reduced in the GO arm compared with the standard arm (P = .005), with no difference in the cumulative incidence of death (P = .80). Subgroup analysis revealed a significant beneficial effect of GO in female, younger (≤ 70 years), and FLT3 internal tandem duplication-negative patients with respect to EFS and CIR. CONCLUSION The trial did not meet its early primary end point of EFS, mainly as a result of a higher early death rate in the GO arm. However, in patients achieving CR/CRi after induction therapy, significantly fewer relapses occurred in the GO compared with the standard arm.
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Affiliation(s)
- Richard F Schlenk
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany.,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Peter Paschka
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Julia Krzykalla
- Division of Biostatistics, German Cancer Research Center Heidelberg, Heidelberg, Germany
| | - Daniela Weber
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | | | - Verena I Gaidzik
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Claudia Leis
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Walter Fiedler
- Department of Internal Medicine II, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Kindler
- Department of Hematology, Medical Oncology and Pneumology, University Medical Center Mainz, Mainz, Germany
| | - Thomas Schroeder
- Department of Hematology, Oncology, and Clinical Immunology, University of Duesseldorf, Medical Faculty, Duesseldorf, Germany
| | - Karin Mayer
- Internal Medicine III, University Hospital of Bonn, Bonn, Germany
| | - Michael Lübbert
- Klinik für Innere Medizin I, Universitätsklinikum Freiburg, Freiburg, Germany
| | - Mohammed Wattad
- Department of Hematology and Oncology, Hospital Essen-Werden, Essen, Germany
| | - Katharina Götze
- Department of Internal Medicine III, University Hospital Klinikum Rechts der Isar, Munich, Germany
| | - Heinz A Horst
- Department of Internal Medicine II, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Elisabeth Koller
- Department of Internal Medicine III, Hanuschkrankenhaus Wien, Wien, Austria
| | - Gerald Wulf
- Department of Hematology and Oncology, University Hospital of Göttingen, Göttingen, Germany
| | - Jan Schleicher
- Klinikum der Landeshauptstadt Stuttgart, Stuttgart, Germany
| | - Martin Bentz
- Department of Hematology and Oncology, Städtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | - Richard Greil
- IIIrd Medical Department, Paracelsus Medical University Salzburg; Salzburg Cancer Research Institute; and Cancer Cluster Salzburg, Salzburg, Austria
| | - Bernd Hertenstein
- Department of Hematology and Oncology, Klinikum Bremen Mitte, Bremen, Germany
| | - Jürgen Krauter
- Department Hematology and Oncology, Braunschweig Municipal Hospital, Braunschweig, Germany
| | - Uwe Martens
- Department of Hematology and Oncology, Klinikum am Gesundbrunnen, Heilbronn, Germany
| | - David Nachbaur
- Department of Internal Medicine V, University Hospital of Innsbruck, Innsbruck, Austria
| | - Maisun Abu Samra
- Department of Internal Medicine IV, University Hospital of Gießen, Gießen, Germany
| | | | - Nadezda Basara
- Department of Hematology and Oncology, Malteser Krankenhaus St Franziskus-Hospital, Flensburg, Germany
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center Heidelberg, Heidelberg, Germany
| | - Felicitas Thol
- Department of Hematology, Hemostaseology, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Michael Heuser
- Department of Hematology, Hemostaseology, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Arnold Ganser
- Department of Hematology, Hemostaseology, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Konstanze Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
| | - Hartmut Döhner
- Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
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Olin RL. Delivering intensive therapies to older adults with hematologic malignancies: strategies to personalize care. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2019; 2019:63-70. [PMID: 31808886 PMCID: PMC6913447 DOI: 10.1182/hematology.2019001300] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Intensive therapies are often medically indicated for older adults with hematologic malignancies. These may include induction chemotherapy for acute myeloid leukemia (AML), as well as autologous hematopoietic cell transplant (autoHCT) and allogeneic hematopoietic cell transplant (alloHCT). However, it is not always clear how to best deliver these therapies, in terms of determining treatment eligibility, as well as adjusting or adding supportive measures to the treatment plan to maximize successful outcomes. Beyond performance status and presence of comorbidities, comprehensive geriatric assessment and individual geriatric metrics have increasingly been used to prognosticate in these settings and may offer the best approach to personalizing therapy. In the setting of AML induction, evidence supports the use of measures of physical function as independent predictors of survival. For patients undergoing alloHCT, functional status, as measured by instrumental activities of daily living (IADL) and gait speed, may be an important pretransplant assessment. IADL has also been associated with post-autoHCT morbidity and mortality. Current best practice includes assessment of relevant geriatric metrics prior to intensive therapy, and work is ongoing to develop complementary interventions.
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Affiliation(s)
- Rebecca L Olin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
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Xu ZJ, Gu Y, Wang CZ, Jin Y, Wen XM, Ma JC, Tang LJ, Mao ZW, Qian J, Lin J. The M2 macrophage marker CD206: a novel prognostic indicator for acute myeloid leukemia. Oncoimmunology 2019; 9:1683347. [PMID: 32002295 PMCID: PMC6959428 DOI: 10.1080/2162402x.2019.1683347] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 10/15/2019] [Accepted: 10/16/2019] [Indexed: 01/13/2023] Open
Abstract
Hematological malignancies possess a distinctive immunologic microenvironment compared with solid tumors. Here, using an established computational algorithm (CIBERSORT), we systematically analyzed the overall distribution of 22 tumor-infiltrating leukocyte (TIL) populations in more than 2000 bone marrow (BM) samples from 5 major hematological malignancies and healthy controls. Focusing on significantly altered TILs in acute myeloid leukemia (AML), we found that patients with AML exhibited increased frequencies of M2 macrophages, compared to either healthy controls or the other four malignancies. High infiltration of M2 macrophages was associated with poor outcome in AML. Further analysis revealed that CD206, a M2 marker gene, could faithfully reflect variation in M2 fractions and was more highly expressed in AML than normal controls. High CD206 expression predicted inferior overall survival (OS) and event-free survival (EFS) in two independent AML cohorts. Among 175 patients with intermediate-risk cytogenetics, the survival still differed greatly between low and high CD206 expressers (OS; P < .0001; 3-year rates, 56% v 32%; EFS; P < .001; 3-year rates, 47% v 25%). When analyzed in a meta-analysis, CD206 as a continuous variable showed superior predictive performance than classical prognosticators in AML (BAALC, ERG, EVI1, MN1, and WT1). In summary, M2 macrophages are preferentially enriched in AML. The M2 marker CD206 may serve as a new prognostic marker in AML.
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Affiliation(s)
- Zi-Jun Xu
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China.,Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
| | - Yu Gu
- Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,Department of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Cui-Zhu Wang
- Department of Oncology, Affiliated Haian Hospital of Nantong University, Nantong, Jiangsu, P.R. China
| | - Ye Jin
- Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,Department of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Xiang-Mei Wen
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China.,Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
| | - Ji-Chun Ma
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China.,Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
| | - Li-Juan Tang
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China.,Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
| | - Zhen-Wei Mao
- The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
| | - Jun Qian
- Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,Department of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Jiang Lin
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, P.R. China.,Zhenjiang Clinical Research Center of Hematology, Zhenjiang, Jiangsu, P.R. China.,The Key Lab of Precision Diagnosis and Treatment in Hematologic Malignancies of Zhenjiang City, Zhenjiang, Jiangsu, P.R. China
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Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients. Int J Hematol 2019; 110:575-583. [PMID: 31440963 DOI: 10.1007/s12185-019-02721-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 08/06/2019] [Accepted: 08/06/2019] [Indexed: 12/17/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous malignancy characterized by a dismal outcome. To enable better outcomes, it is necessary to develop individual therapies based on risk stratification. In the present study, we established two new comprehensive prognostic scoring systems (CPSS) for overall survival (OS) and relapse-free survival (RFS) using the Cox proportional hazards regression, CPSS integrated and weighted age, AML type, lactic dehydrogenase (LDH), ECOG score, cytogenetics, and gene mutations. We divided patients into three risk groups-low-, intermediate-, and high-risk-with 1-year OS rates of 100.0%, 82.9%, and 38.2%, respectively (p < 0.0001), and patients undergoing complete remission (CR) were also separated into low-risk, intermediate-risk, and high-risk groups, with 1-year RFS rates of 87.7%, 58.4%, and 30.2%, respectively (p < 0.0001). We conclude that CPSS that integrate clinical characteristics, cytogenetic abnormalities, and gene mutations may improve the stratification of AML patients.
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Nagy Á, Ősz Á, Budczies J, Krizsán S, Szombath G, Demeter J, Bödör C, Győrffy B. Elevated HOX gene expression in acute myeloid leukemia is associated with NPM1 mutations and poor survival. J Adv Res 2019; 20:105-116. [PMID: 31333881 PMCID: PMC6614546 DOI: 10.1016/j.jare.2019.05.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/27/2019] [Accepted: 05/28/2019] [Indexed: 12/20/2022] Open
Abstract
Acute myeloid leukemia (AML) is a clonal disorder of hematopoietic progenitor cells and the most common malignant myeloid disorder in adults. Several gene mutations such as in NPM1 (nucleophosmin 1) are involved in the pathogenesis and progression of AML. The aim of this study was to identify genes whose expression is associated with driver mutations and survival outcome. Genotype data (somatic mutations) and gene expression data including RNA-seq, microarray, and qPCR data were used for the analysis. Multiple datasets were utilized as training sets (GSE6891, TCGA, and GSE1159). A new clinical sample cohort (Semmelweis set) was established for in vitro validation. Wilcoxon analysis was used to identify genes with expression alterations between the mutant and wild type samples. Cox regression analysis was performed to examine the association between gene expression and survival outcome. Data analysis was performed in the R statistical environment. Eighty-five genes were identified with significantly altered expression when comparing NPM1 mutant and wild type patient groups in the GSE6891 set. Additional training sets were used as a filter to condense the six most significant genes associated with NPM1 mutations. Then, the expression changes of these six genes were confirmed in the Semmelweis set: HOXA5 (P = 3.06E-12, FC = 8.3), HOXA10 (P = 2.44E-09, FC = 3.3), HOXB5 (P = 1.86E-13, FC = 37), MEIS1 (P = 9.82E-10, FC = 4.4), PBX3 (P = 1.03E-13, FC = 5.4) and ITM2A (P = 0.004, FC = 0.4). Cox regression analysis showed that higher expression of these genes - with the exception of ITM2A - was associated with worse overall survival. Higher expression of the HOX genes was identified in tumors harboring NPM1 gene mutations by computationally linking genotype and gene expression. In vitro validation of these genes supports their potential therapeutic application in AML.
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Key Words
- AML, acute myeloid leukemia
- Acute myeloid leukemia
- Clinical samples
- FAB classification, French–American–British classification
- FC, fold change
- Gene expression
- HOX genes
- HOX, homeobox
- HR, hazard ratio
- ITD, internal tandem duplication
- MEIS, myeloid ecotropic viral integration site
- Mutation
- NCBI GEO, National Center for Biotechnology Gene expression Omnibus
- OS, overall survival
- PBX, pre-B-cell leukemia homeobox
- Survival
- TCGA, The Cancer Genome Atlas
- WHO, World Health Organization
- qPCR, quantitative polymerase chain reaction
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Affiliation(s)
- Ádám Nagy
- MTA TTK Lendület Cancer Biomarker Research Group, Hungarian Academy of Sciences Research Centre for Natural Sciences, Institute of Enzymology, Magyar Tudósok körútja 2, 1117 Budapest, Hungary.,Semmelweis University 2nd Dept. of Pediatrics, Tűzoltó utca 7-9, 1094 Budapest, Hungary
| | - Ágnes Ősz
- MTA TTK Lendület Cancer Biomarker Research Group, Hungarian Academy of Sciences Research Centre for Natural Sciences, Institute of Enzymology, Magyar Tudósok körútja 2, 1117 Budapest, Hungary.,Semmelweis University 2nd Dept. of Pediatrics, Tűzoltó utca 7-9, 1094 Budapest, Hungary
| | - Jan Budczies
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Szilvia Krizsán
- MTA-SE Lendület Molecular Oncohematology Research Group, 1st Department of Pathology, and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Gergely Szombath
- 3rd Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Judit Demeter
- 1st Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Csaba Bödör
- MTA-SE Lendület Molecular Oncohematology Research Group, 1st Department of Pathology, and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
| | - Balázs Győrffy
- MTA TTK Lendület Cancer Biomarker Research Group, Hungarian Academy of Sciences Research Centre for Natural Sciences, Institute of Enzymology, Magyar Tudósok körútja 2, 1117 Budapest, Hungary.,Semmelweis University 2nd Dept. of Pediatrics, Tűzoltó utca 7-9, 1094 Budapest, Hungary
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42
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[Diagnosis and treatment of acute myeloid leukemia : The updated 2018 Onkopedia Guideline]. Internist (Berl) 2019; 60:257-272. [PMID: 30767029 DOI: 10.1007/s00108-019-0562-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
In April 2018, an updated version of the previously published guidelines on acute myeloid leukemia (AML) from 2010 and 2017 was released. A revision was necessary because of two positive aspects: First, new data and insights on risk stratification and monitoring, and second, the clinical development and approval of new agents. The modified genetic risk classification allows a more precise distinction of different diagnostic groups and consequently a better matched post-remission treatment. The availability of new targeted drugs such as inhibitors turns genetic analyses from a mere prognostic tool into an instrument for treatment decisions. Several recently approved agents expand the treatment options for AML and raise hope for an improved prognosis and cure in the future.
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Role of physical function in predicting short-term treatment outcome in Egyptian acute myeloid leukemia patients: a single center experience. Hematol Transfus Cell Ther 2019; 41:17-24. [PMID: 30793100 PMCID: PMC6371199 DOI: 10.1016/j.htct.2018.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 05/08/2018] [Indexed: 01/06/2023] Open
Abstract
Background Acute myeloid leukemia (AML) is a potentially fatal hematological disease. Along with disease-related factors, patient-related factors, in particular age, are a strong predictor of outcome that influence treatment decisions. Many acute myeloid leukemia risk stratification models have been developed to predict the outcome of intensive chemotherapy. However, these models did not include physical function assessments. Methods This study investigated the impact of several factors, namely the performance status, physical function and age on the short-term outcomes of intensive chemotherapy in a cohort of 50 Egyptian patients with de novo acute myeloid leukemia. Results Complete remission after intensive chemotherapy in these myeloid leukemia patients at Day 28 was 56% and the mortality rate was 12% and 34% at Day 28 and Day 60, respectively. The pretreatment Eastern Cooperative Oncology Group score was significantly correlated with outcomes on Day 28 and Day 60 (p-value = 0.041 and p-value = 0.032, respectively). There were significant correlations between the two-minute walk test and outcomes of therapy on Day 28 and 60 (p-value = 0.032 and p-value = 0.047, respectively) and between grip strength test and outcomes of therapy on Day 28 and 60 (p-value = 0.046 and p-value = 0.047 respectively). Furthermore, there was a significant correlation between chair stand test and outcome of therapy on Day 28 (p-value = 0.023). Conclusion Performance status and physical function assessments were strong predictors of outcome of intensive chemotherapy in acute myeloid leukemia and we recommend the incorporation of these variables in risk stratification models for the personalization of therapy before treating acute myeloid leukemia patients with intensive chemotherapy.
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Megías-Vericat JE, Martínez-Cuadrón D, Sanz MÁ, Poveda JL, Montesinos P. Daunorubicin and cytarabine for certain types of poor-prognosis acute myeloid leukemia: a systematic literature review. Expert Rev Clin Pharmacol 2019; 12:197-218. [PMID: 30672340 DOI: 10.1080/17512433.2019.1573668] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Induction chemotherapy based on anthracyclines and cytarabine (Ara-C) combination remains the standard of care for acute myeloid leukemia (AML) patients who are considered candidate for intensive and curative approaches. However, the toxicity of this regimen is high, with disappointing clinical outcomes among the so-called poor-prognosis AML subsets, which generally refer to patients with adverse cytogenetic risk, secondary AML including therapy-related AML, poor-prognosis mutations, especially FLT3-ITD, and relapse/refractory AML. Areas covered: To the best of our knowledge, the role and efficacy of 7 + 3 schedules containing daunorubicin (DNR) and Ara-C for certain types of poor-prognosis AML has not been systematically assessed. A critical approach to the role of DNR and Ara-C induction could be relevant to establish which patients should be enrolled in clinical trials using novel therapies. Expert commentary: In this regard, a recent randomized clinical trial (RCT) showed improved results in older patients with sAML or high-risk cytogenetics who received CPX-351 compared with standard 7 + 3 combination. We perform a systematic literature review to analyze the clinical outcomes reported with DNR plus Ara-C regimens in adult patients with poor-prognosis AML, the use of liposomal formulations of DNR and Ara-C and the RCTs which compared standard 7 + 3 with the addition of a third drug.
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Affiliation(s)
| | - David Martínez-Cuadrón
- b Servicio de Hematología y Hemoterapia , Hospital Universitari i Politècnic La Fe , Valencia , Spain.,c CIBERONC , Instituto Carlos III , Madrid , Spain
| | - Miguel Ángel Sanz
- b Servicio de Hematología y Hemoterapia , Hospital Universitari i Politècnic La Fe , Valencia , Spain.,c CIBERONC , Instituto Carlos III , Madrid , Spain
| | - José Luis Poveda
- a Servicio de Farmacia, Área del Medicamento , Hospital Universitari i Politècnic La Fe , Valencia , Spain
| | - Pau Montesinos
- b Servicio de Hematología y Hemoterapia , Hospital Universitari i Politècnic La Fe , Valencia , Spain.,c CIBERONC , Instituto Carlos III , Madrid , Spain
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von Bonin M, Moll K, Kramer M, Oelschlägel U, Wermke M, Röllig C, Thiede C, Ehninger G, Krämer A, Müller-Tidow C, Mitroulis I, Bornhäuser M. JAM-C Expression as a Biomarker to Predict Outcome of Patients with Acute Myeloid Leukemia-Letter. Cancer Res 2018; 78:6339-6341. [PMID: 30333115 DOI: 10.1158/0008-5472.can-18-0642] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 05/07/2018] [Accepted: 08/22/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Malte von Bonin
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany. .,German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katharina Moll
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Michael Kramer
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Uta Oelschlägel
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Martin Wermke
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany.,Early Clinical Trial Unit (ECTU), University Cancer Centre, Dresden, Germany
| | - Christoph Röllig
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Christian Thiede
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Gerhard Ehninger
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Alwin Krämer
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Ioannis Mitroulis
- Institute of Clinical Chemistry and Laboratory Medicine, Technische Universität Dresden, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Medical Clinic I, University Hospital Carl Gustav Carus, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany
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Veltri L, Rezvani K, Oran B, Mehta R, Rondon G, Kebriaei P, Popat U, Nieto Y, Hosing C, Qazilbash M, Khouri I, Shpall E, Champlin R, Marin D. Allotransplants for Patients 65 Years or Older with High-Risk Acute Myeloid Leukemia. Biol Blood Marrow Transplant 2018; 25:505-514. [PMID: 30308325 DOI: 10.1016/j.bbmt.2018.09.032] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 09/27/2018] [Indexed: 01/09/2023]
Abstract
The outcome of persons > 65 years with acute myeloid leukemia (AML) is poor. A transplant from an HLA-identical sibling or an HLA-matched unrelated donor can cure some of these patients but is associated with a substantial transplant-related mortality and a high relapse risk. We analyzed 185 subjects > 65 years with high-risk AML receiving conventional (n = 42) or reduced-intensity (n = 143) pretransplant conditioning and a transplant from an HLA-identical sibling (n = 66) or a 10/10 loci HLA-matched unrelated donor (n = 119). Two-year survival was 37%. Subjects with serious adverse events during before chemotherapy for their leukemia had a poor outcome after stem cell transplantation. Patients who had active leukemia or measurable residual disease (MRD) before transplantation had a worse outcome. Delayed hematologic recovery after induction or consolidation chemotherapy, high-risk AML genetics, donor-recipient HLA-DRβ3/4/5-DP mismatches, and history of cardiovascular disease were also correlated with survival in multivariate analyses. The 57 MRD-negative patients with few other adverse prognostic factors had an excellent outcome (2-year overall survival, 76%), whereas the 58 patients with detectable leukemia and more than 1 other additional factor fared poorly (2-year overall survival, 8%). These data indicate it is possible to identify persons > 65 years with high-risk AML likely to benefit from an allotransplant. Validation of this prediction is needed.
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Affiliation(s)
- Lauren Veltri
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Katayoun Rezvani
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Betul Oran
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Rohtesh Mehta
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Gabriela Rondon
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Partow Kebriaei
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Uday Popat
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Yago Nieto
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Chitra Hosing
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Muzaffar Qazilbash
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Issa Khouri
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Elizabeth Shpall
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - Richard Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas
| | - David Marin
- Department of Stem Cell Transplantation and Cellular Therapy, MD Anderson Cancer Center, University of Texas, Houston, Texas.
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Hecker J, Miller I, Götze KS, Verbeek M. Bridging Strategies to Allogeneic Transplant for Older AML Patients. Cancers (Basel) 2018; 10:cancers10070232. [PMID: 29997333 PMCID: PMC6071045 DOI: 10.3390/cancers10070232] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 06/27/2018] [Accepted: 07/06/2018] [Indexed: 11/28/2022] Open
Abstract
Treatment options for older patients with intermediate or high-risk acute myeloid leukemia (AML) remain unsatisfactory. Allogeneic stem cell transplantation, the treatment of choice for the majority of younger AML patients, has been hampered in elderly patients by higher treatment related mortality, comorbidities and lack of a suitable donor. With the higher availability of suitable donors as well as of reduced intensity conditioning regimens, novel low intensity treatments prior to transplantation and optimized supportive care, the number of older AML patients being successfully transplanted is steadily increasing. Against this background, we review current treatment strategies for older AML patients planned for allogeneic stem cell transplantation based on clinical trial data, discussing differences between approaches with advantages and pitfalls of each. We summarize pre-treatment considerations that need to be taken into account in this highly heterogeneous older population. Finally, we offer an outlook on areas of ongoing clinical research, including novel immunotherapeutic approaches that may improve access to curative therapies for a larger number of older AML patients.
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Affiliation(s)
- Judith Hecker
- Department of Medicine III, Hematology and Oncology, Technische Universität München, 80333 Munich, Germany.
| | - Isabella Miller
- Department of Medicine III, Hematology and Oncology, Technische Universität München, 80333 Munich, Germany.
| | - Katharina S Götze
- Department of Medicine III, Hematology and Oncology, Technische Universität München, 80333 Munich, Germany.
| | - Mareike Verbeek
- Department of Medicine III, Hematology and Oncology, Technische Universität München, 80333 Munich, Germany.
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Michaelis LC, Klepin HD, Walter RB. Advancements in the management of medically less-fit and older adults with newly diagnosed acute myeloid leukemia. Expert Opin Pharmacother 2018; 19:865-882. [PMID: 29697000 DOI: 10.1080/14656566.2018.1465562] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Treating acute myeloid leukemia (AML) in older adults remains daunting. The unique biology often renders conventional chemotherapies less effective. Accurately predicting the toxicities of treatment is another unresolved challenge. Treatment planning thus requires a good knowledge of the current trial data and familiarity with clinical tools, including formal fitness and geriatric assessments. Both obstacles - disease biology and patient fitness - might be easier overcome with specific, AML cell-targeted agents rather than traditional cytotoxic chemotherapy. This may be the future of AML therapy, but it is not our current state. AREAS COVERED Herein, the authors appraise the data supporting a standard induction approach, including an outline of how to predict treatment-related mortality and a review of the most up-to-date methods of geriatric assessment. They also discuss treatment expectations with less-intense therapies and highlight novel agents in development. Finally, they provide a basic approach to choosing treatment intensity. EXPERT OPINION In an older and/or medically less-fit patient, treatment choice should begin with a thorough disease assessment, a formal evaluation of patient fitness and frailty. There should also be a clear communication with the patient and patient's family about the risks and anticipated benefits of either an intense or nonintense treatment approach.
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Affiliation(s)
- Laura C Michaelis
- a Associate Professor of Medicine, Department of Hematology and Oncology , Medical College of Wisconsin , Milwaukee , WI , USA
| | - Heidi D Klepin
- b Associate Professor of Internal Medicine, Section on Hematology and Oncology , Wake Forest School of Medicine , Winston-Salem , NC , USA
| | - Roland B Walter
- c Associate Member, Clinical Research Division , Fred Hutchinson Cancer Research Center , Seattle , WA , USA.,d Associate Professor of Medicine, Department of Medicine, Division of Hematology , University of Washington , Seattle , WA , USA.,e Adjunct Associate Professor, Department of Epidemiology , University of Washington , Seattle , WA , USA
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49
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Castejón N, Cappelleri JC, Cuervo J, Lang K, Mehta P, Mokgokong R, Mamolo C. Social preferences for health states associated with acute myeloid leukemia for patients undergoing treatment in the United Kingdom. Health Qual Life Outcomes 2018; 16:66. [PMID: 29669568 PMCID: PMC5907377 DOI: 10.1186/s12955-018-0897-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 04/12/2018] [Indexed: 11/27/2022] Open
Abstract
Background Health state (HS) utility values for patients with acute myeloid leukemia (AML), a hematological malignancy, are not available in the United Kingdom (UK). This study aims to develop clinically sound HSs for previously untreated patients with AML and to assign utility values based on preferences of the general UK population. Methods This study was conducted in the UK and comprised 2 stages. During the first stage, AML HSs were drafted based on evidence from a literature review of AML clinical and health-related quality-of-life studies (published January 2000–June 2016) and patient-reported outcome measures previously used in this population. A panel of UK hematologists with AML experience validated the clinical relevance and accuracy of the HSs. During the second stage, validated HSs were valued in an elicitation survey with a representative UK population sample using the time trade-off (TTO) method. Descriptive statistics and bivariate tests were obtained and performed. Results A total of eight HSs were developed and clinically validated, including treatment with chemotherapy, consolidation therapy, transplant, graft-vs-host disease (GvHD), remission, relapse, refractory, and functionally cured. In total, 125 adults participated (mean age, 49.6 years [range, 18–87 years], 52.8% female). Mean (95% confidence interval [CI]) TTO preference values (n = 120), ranked from lowest (worst HS) to highest (best HS) were as follows: refractory − 0.11 (− 0.21 to − 0.01), relapse 0.10 (0.00–0.20), transplant 0.28 (0.20–0.37), treatment with chemotherapy 0.36 (0.28–0.43), GvHD 0.43 (0.36–0.50), consolidation 0.46 (0.40–0.53), remission 0.62 (0.57–0.67), and functionally cured 0.76 (0.72–0.79). Mean (95% CI) visual analog scale preference values followed the same rank order, ranging from 0.15 (0.13–0.17) for refractory to 0.71 (0.68–0.73) for functionally cured. Conclusions To our knowledge, this is the first study to report utility values for AML from the UK societal perspective. Participants were able to distinguish differences in severity among AML HSs, and preference values were consistent with clinical perception of HS severity. HS preference values observed in this study may be useful in future evaluations of treatment benefit, including cost-effectiveness analyses and improved patient well-being.
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Affiliation(s)
- Nacho Castejón
- HEOR Senior Consultant, Barrio de Abajo, "Las Barcas", 33595, Celorio, Spain.
| | | | - Jesús Cuervo
- LA-SER Research España, C/Condado de Treviño 2, Portal 1-Bajo 3, 28033, Madrid, Spain
| | - Kathryn Lang
- Pfizer Ltd, Walton Oaks, Dorking Road, Tadworth, Surrey, KT20 7NS, UK
| | - Priyanka Mehta
- Bristol Haematology Oncology Centre, University Hospitals Bristol NHS Trust, Horfield Road, Bristol, BS2 8ED, UK
| | - Ruth Mokgokong
- Pfizer Ltd, Walton Oaks, Dorking Road, Tadworth, Surrey, KT20 7NS, UK
| | - Carla Mamolo
- Pfizer Inc, 445 Eastern Point Road, MS 8260-2502, Groton, CT, 06340, USA
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Abstract
Acute myeloid leukemia (AML) therapies are rapidly evolving with novel targeted therapies showing high-level responses in a notoriously difficult to treat group of patients - the elderly and unfit. This review will examine the outcomes of older AML patients (>60 years old) with conventional induction strategies, and published literature on risks of pursuit of induction. Low-intensity combination therapy response rates appear to be approaching that of induction regimens, and with lower toxicity, low-intensity therapy likely represents the future standard approach in this age group. Lastly, allogeneic transplant appears to have a role in increasing durable remissions regardless of age and should be considered in patients with limited comorbidities.
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Affiliation(s)
- Jonathan A Webster
- a Department of Oncology , Johns Hopkins University , Baltimore , MD , USA
| | - Keith W Pratz
- a Department of Oncology , Johns Hopkins University , Baltimore , MD , USA
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