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Rozental A, Halperin E, Leibovitch C, Barzili M, Michowitz MK, Duek A, Rozovski U, Extermann M, Raanani P, Shacham-Abulafia A. CML in the very elderly: the impact of comorbidities and TKI selection in a real-life multicenter study. Ann Hematol 2024; 103:3585-3594. [PMID: 38862792 PMCID: PMC11358301 DOI: 10.1007/s00277-024-05828-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/31/2024] [Indexed: 06/13/2024]
Abstract
Tyrosine kinase inhibitors (TKIs) have greatly improved chronic myeloid leukemia (CML) treatments, with survival rates close to the general population. Yet, for the very elderly, robust data remains limited. This study focused on assessing comorbidities, treatment approaches, responses, and survival for elderly CML patients. Our study was conducted on 123 elderly (≥ 75 years) CML patients across four centers in Israel and Moffitt Cancer Center, USA. The median age at diagnosis was 79.1 years, with 44.7% being octogenarians. Comorbidities were very common; cardiovascular risk factors (60%), cardiovascular diseases (42%), with a median age-adjusted Charlson Comorbidity Index (aaCCI) of 5. Imatinib was the leading first-line therapy (69%), while the use of second-generation TKIs increased post-2010. Most patients achieved a major molecular response (MMR, 66.7%), and half achieved a deep molecular response (DMR, 50.4%). Over half (52.8%) of patients moved to second-line, and nearly a quarter (23.5%) to third-line treatments, primarily due to intolerance. Overall survival (OS) was notably longer in patients with an aaCCI score below 5, and in patients who attained DMR. Contrary to expectations, the Israeli cohort showed a shorter actual life expectancy than projected, suggesting a larger impact of CML on elderly survival. In summary, imatinib remains the main initial treatment, but second-generation TKIs are on the rise among elderly CML patients. Outcomes in elderly CML patients depend on comorbidities, TKI type, response, and age, underscoring the need for personalized therapy and additional research on TKI effectiveness and safety.
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MESH Headings
- Humans
- Aged
- Protein Kinase Inhibitors/therapeutic use
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/epidemiology
- Male
- Aged, 80 and over
- Female
- Comorbidity
- Israel/epidemiology
- Imatinib Mesylate/therapeutic use
- Survival Rate
- Retrospective Studies
- Treatment Outcome
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Affiliation(s)
- Alon Rozental
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah-Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Senior Adult Oncology Program, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Erez Halperin
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah-Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Chiya Leibovitch
- Internal Medicine B, Ashdod Hospital, Samson Assuta, Ashdod, Israel
| | - Meirav Barzili
- Hematology and Hemato-Oncology Division, Tel Aviv Medical Center, Tel Aviv, Israel
| | - Maya Koren- Michowitz
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Shamir Medical Center, Department of Hematology, Zerifin, Israel
| | - Adrian Duek
- Hematology Department, Assuta Medical Center, Ashdod, Israel
| | - Uri Rozovski
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah-Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Martine Extermann
- Senior Adult Oncology Program, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Pia Raanani
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah-Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Adi Shacham-Abulafia
- Institute of Hematology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Campus, Petah-Tikva, Israel.
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
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Shahrin NH, Wadham C, Branford S. Defining Higher-Risk Chronic Myeloid Leukemia: Risk Scores, Genomic Landscape, and Prognostication. Curr Hematol Malig Rep 2022; 17:171-180. [PMID: 35932396 PMCID: PMC9712352 DOI: 10.1007/s11899-022-00668-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW The chronic myeloid leukemia (CML) treatment success story is incomplete as some patients still fail therapy, leading to end-stage disease and death. Here we discuss recent research into CML incidence, the role of comorbidities on survival and detecting patients at risk of failing therapy. RECENT FINDINGS The incidence of CML has fallen markedly in high social-demographic index (SDI) regions of the world but there is disturbing evidence that this is not the case in low and low-middle SDI countries. Now that CML patients more frequently die from their co-morbid conditions than from CML the Adult Comorbidity Evaluation-27 score can assist in risk assessment at diagnosis. Non-adherence to therapy contributes greatly to treatment failure. A good doctor-patient relationship and social support promote good adherence, but patient age, gender, and financial burden have negative effects, suggesting avenues for intervention. Mutations in cancer-associated genes adversely affect outcome and their detection at diagnosis may guide therapeutic choice and offer non-BCR::ABL1 targeted therapies. A differential gene expression signature to assist risk detection is a highly sought-after diagnostic tool being actively researched on several fronts. Detecting patients at risk of failing therapy is being assisted by recent technological advances enabling highly sensitive genomic and expression analysis of insensitive cells. However, patient lifestyle, adherence to therapy, and comorbidities are critical risk factors that need to be addressed by interventions such as social and financial support.
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Affiliation(s)
- Nur Hezrin Shahrin
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia ,School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | - Carol Wadham
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia ,School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | - Susan Branford
- Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia 5000 Australia ,School of Pharmacy and Medical Science, Division of Health Sciences, University of South Australia, Adelaide, Australia ,School of Medicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
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Breccia M, Efficace F, Scalzulli E, Ciotti G, Maestrini G, Colafigli G, Martelli M. Measuring prognosis in chronic myeloid leukemia: what's new? Expert Rev Hematol 2021; 14:577-585. [PMID: 34075852 DOI: 10.1080/17474086.2021.1938534] [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: 10/21/2022]
Abstract
Introduction: The outcome of chronic myeloid leukemia (CML) patients in chronic phase has changed after the introduction of tyrosine kinase inhibitors (TKIs). The life expectancy is actually similar to that of the general population. Prognostic stratification at baseline is part of a patient-centered approach to decide the best therapeutic approach.Areas covered: In this review, the current prognostic factors examined at baseline are detailed and the meaning is explained. A broad research on Medline, Embase and archives from EHA and ASH congresses, was performed. Prognostic factors have been divided into patient-related (age, gender, comorbidities, etc.) and disease-related (additional cytogenetic abnormalities, type of transcript, etc). New information about genomic data and the potential role of patient-reported outcomes is also discussed.Expert Opinion: Prognostic factors at baseline should be considered to evaluate the long-term probability of disease-related death, the possible toxicity, and the projected long-term overall survival. The genomic assessment would provide the basis for a genomic-based risk and help in oriented decision-making process.
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Affiliation(s)
- Massimo Breccia
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Fabio Efficace
- Italian Group for Adult Hematologic Diseases (GIMEMA), Data Center and Health Outcomes Research Unit, Rome, Italy
| | - Emilia Scalzulli
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Giulia Ciotti
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Giacomo Maestrini
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Gioia Colafigli
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Maurizio Martelli
- Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
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Cortes J. How to manage CML patients with comorbidities. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2020; 2020:237-242. [PMID: 33275749 PMCID: PMC7727590 DOI: 10.1182/hematology.2020006911] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Patients with chronic myeloid leukemia (CML) often have comorbidities, at an incidence that might be higher than in the general population. Because of the favorable outcome of most patients with CML treated with tyrosine kinase inhibitors (TKIs), a greater number of comorbidities might be the most significant adverse feature for long-term survival. The presence of comorbidities may also affect the risk of developing adverse events with TKIs. This effect is perhaps best exemplified by the risk of developing arterio-occlusive events, which is greatest for patients who have other risk factors for such events, with the risk increasing with higher numbers of comorbidities. The coexistence of comorbidities in patients with CML not only may affect TKI selection but also demands close monitoring of the overall health condition of the patient to optimize safety and provide the opportunity for an optimal outcome to such patients. With optimal, holistic management of leukemia and all other conditions afflicting them, patients with CML and comorbidities may aim for a near-normal life expectancy, just as the more select patients enrolled in clinical trials now enjoy.
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Cortes J. How to manage CML patients with comorbidities. Blood 2020; 136:2507-2512. [PMID: 33236757 DOI: 10.1182/blood.2020006911] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/19/2020] [Indexed: 11/20/2022] Open
Abstract
Patients with chronic myeloid leukemia (CML) often have comorbidities, at an incidence that might be higher than in the general population. Because of the favorable outcome of most patients with CML treated with tyrosine kinase inhibitors (TKIs), a greater number of comorbidities might be the most significant adverse feature for long-term survival. The presence of comorbidities may also affect the risk of developing adverse events with TKIs. This effect is perhaps best exemplified by the risk of developing arterio-occlusive events, which is greatest for patients who have other risk factors for such events, with the risk increasing with higher numbers of comorbidities. The coexistence of comorbidities in patients with CML not only may affect TKI selection but also demands close monitoring of the overall health condition of the patient to optimize safety and provide the opportunity for an optimal outcome to such patients. With optimal, holistic management of leukemia and all other conditions afflicting them, patients with CML and comorbidities may aim for a near-normal life expectancy, just as the more select patients enrolled in clinical trials now enjoy.
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