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Button E, Carter H, Gavin NC, LeBlanc TW, McCaffrey N. A systematic review of health state utility values for older people with acute myeloid leukaemia. Qual Life Res 2024:10.1007/s11136-024-03734-9. [PMID: 39172308 DOI: 10.1007/s11136-024-03734-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2024] [Indexed: 08/23/2024]
Abstract
PURPOSE Older people with acute myeloid leukaemia (AML) have a poor prognosis, reduced health-related quality of life (HRQoL) and require substantial healthcare resources. The objectives of this systematic review were to determine what health state utility values (HSUVs) are reported in the literature that can be used in economic evaluations of interventions for older people with AML, identify research gaps, and discuss directions for future research. METHODS The following databases were searched for studies published from inception until Feb 2023: PubMed, EMBASE, CINAHL, PsycINFO, Cochrane, and EconLit. Studies were included if they reported on HSUVs of people with AML >60 years, or HRQoL data that could be mapped to HSUVs using currently published algorithms. RESULTS Of 532 studies identified, 7 met inclusion (4 full studies and 3 conference abstracts). Twenty-eight potentially eligible studies were excluded as they did not report HRQoL measures in sufficient detail to be mapped to utility values. Included studies reported on health states of newly diagnosed disease (n=4 studies), intensive therapy (n=1 study), controlled remission (n=3 studies), and relapsed or refractory disease (n=2 studies). No studies reported on low intensity therapy or supportive care health states. Utility values were largely reported via the EuroQol and ranged from 0.535 (intensive therapy) to 0.834 (controlled remission). CONCLUSION There are gaps in knowledge on HSUVs for older people with AML, particularly for certain treatment-related health states. Future articles should publish comprehensive HRQoL outcomes to enable use in economic evaluation.
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Affiliation(s)
- Elise Button
- Centre for Healthcare Transformation, Cancer and Palliative Care Outcomes, Queensland University of Technology, Level 7, Q Block, 66 Must Avenue, Kelvin Grove, Brisbane, QLD, Australia.
| | - Hannah Carter
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Nicole C Gavin
- Cancer Care Services, Metro North Hospital and Health Services, Queensland Health Brisbane, Brisbane, QLD, Australia
| | | | - Nikki McCaffrey
- Deakin Health Economics, School of Health and Social Development, Deakin University, Melbourne, VIC, Australia
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2
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Singh S, Lionel S, Jain H, Rajendra A, Nayak L, Selvarajan S, Samuel P, Ahmed R, Aggarwal N, Ds P, Byreddy P, John MJ, Mishra K, Kumar S, Paul M, Abraham LK, Kayal S, Ganesan P, Philip CC, Das D, Sreeraj V, Mehta P, Pk J, Raghavan V, Bala SC, Bharath RS, Majumdar S, Prakash O, Barath U, Bagal B, Abraham A, Kapoor R, Bhurani D, Sengar M, Mathews V. Treatment challenges and outcomes of older patients with acute myeloid leukemia from India. Ann Hematol 2024:10.1007/s00277-024-05873-y. [PMID: 38977463 DOI: 10.1007/s00277-024-05873-y] [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: 03/11/2024] [Accepted: 07/01/2024] [Indexed: 07/10/2024]
Abstract
Globally, overall survival (OS) of older patients with AML continues to be suboptimal with very little data from India. In a multicenter registry analysis, we evaluated 712 patients with AML older than 55 years. Only 323 (45.3%) underwent further treatment, of which 239 (74%) received HMAs, and 60 (18%) received intensive chemotherapy (IC). CR was documented in 39% of those receiving IC and 42% after HMAs. Overall, 100 (31%) patients died within 60 days of diagnosis, most commonly due to progressive disease (47%) or infections (30%). After a median follow-up of 176 days, 228 (76%) of patients had discontinued treatment. At one year from diagnosis, 211 (65%) patients had died, and the median OS was 186 days (IQR, 137-234). Only 12 (3.7%) patients underwent stem cell transplantation. Survival was significantly lower for those older than 60 years (p < 0.001). Patients who died had a higher median age (p = .027) and baseline WBC counts (p = .006). Our data highlights suboptimal outcomes in older AML patients, which are evident from 55 years of age onwards, making it necessary to evaluate HMA and targeted agent combinations along with novel consolidation strategies to improve survival in this high-risk population.
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Affiliation(s)
- Suvir Singh
- Department of Clinical Haematology, Dayanand Medical College, Ludhiana, 141001, India.
| | | | | | | | | | | | | | - Rayaz Ahmed
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | | | - Pavitra Ds
- Christian Medical College, Ludhiana, India
| | | | | | - Kundan Mishra
- Army Hospital Research and Referral, New Delhi, India
| | - Suman Kumar
- Army Hospital Research and Referral, New Delhi, India
| | | | | | - Smita Kayal
- Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India
| | - Prasanth Ganesan
- Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India
| | - Chepsy C Philip
- Believers Church Medical College Hospital, Thiruvalla, India
| | | | - V Sreeraj
- Amala Cancer Hospital and Research Centre, Thrissur, India
| | - Prashant Mehta
- Asian Institute of Medical Sciences (AIMS), Faridabad, Faridabad, India
| | | | | | | | | | | | - Om Prakash
- Department of Biostatistics, CMC, Vellore, India
| | - U Barath
- Department of Biostatistics, CMC, Vellore, India
| | | | | | - Rajan Kapoor
- Army Hospital Research and Referral, New Delhi, India
| | - Dinesh Bhurani
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
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3
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Shi Y, Chen X, Jin H, Zhu L, Hong M, Zhu Y, Wu Y, Qiu H, Wang Y, Sun Q, Jin H, Li J, Qian S, Qiao C. Clinical prognostic value of different NPM1 mutations in acute myeloid leukemia patients. Ann Hematol 2024; 103:2323-2335. [PMID: 38722387 DOI: 10.1007/s00277-024-05786-w] [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: 05/27/2023] [Accepted: 04/29/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND Acute myeloid leukemia (AML) patients with various nucleophosmin 1 (NPM1) mutations are controversial in the prognosis. This study aimed to investigate the prognosis of patients according to types of NPM1 mutations (NPM1mut). METHODS Bone marrow samples of 528 patients newly diagnosed with AML, were collected for morphology, immunology, cytogenetics, and molecular biology examinations. Gene mutations were detected by next-generation sequencing (NGS) technology. RESULTS About 25.2% of cases exhibited NPM1mut. 83.5% of cases were type A, while type B and D were respectively account for 2.3% and 3.0%. Furthermore, 15 cases of rare types were identified, of which 2 cases have not been reported. Clinical characteristics were similar between patients with A-type NPM1 mutations (NPM1A - type mut) and non-A-type NPM1 mutations (NPM1non - A-type mut). Event-free survival (EFS) was significantly different between patients with low NPM1non - A-type mut variant allele frequency (VAF) and low NPM1A - type mut VAF (median EFS = 3.9 vs. 8.5 months, P = 0.020). The median overall survival (OS) of the NPM1non - A-type mutFLT3-ITDmut group, the NPM1A - type mutFLT3-ITDmut group, the NPM1non - A-type mutFLT3-ITDwt group, and the NPM1A - type mutFLT3-ITDwt group were 3.9, 10.7, 17.3 and 18.8 months, while the median EFS of the corresponding groups was 1.4, 5.0, 7.6 and 9.2 months (P < 0.0001 and P = 0.004, respectively). CONCLUSIONS No significant difference was observed in OS and EFS between patients with NPM1A - type mut and NPM1non - A-type mut. However, types of NPM1 mutations and the status of FLT3-ITD mutations may jointly have an impact on the prognosis of AML patients.
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Affiliation(s)
- Yu Shi
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Xiao Chen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Huimin Jin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Liying Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Ming Hong
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yu Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yujie Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hairong Qiu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yan Wang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Qian Sun
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hui Jin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Sixuan Qian
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
| | - Chun Qiao
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.
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El-Jawahri A, Webb JA, Breffni H, Zimmermann C. Integrating Palliative Care and Hematologic Malignancies: Bridging the Gaps for Our Patients and Their Caregivers. Am Soc Clin Oncol Educ Book 2024; 44:e432196. [PMID: 38768404 DOI: 10.1200/edbk_432196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Patients with hematologic malignancies (HMs) struggle with immense physical and psychological symptom burden, which negatively affect their quality of life (QOL) throughout the continuum of illness. These patients are often faced with substantial prognostic uncertainty as they navigate their illness course, which further complicates their medical decision making, especially at the end of life (EOL). Consequently, patients with HM often endure intensive medical care at the EOL, including frequent hospitalization and intensive care unit admissions, and they often die in the hospital. Our EOL health care delivery models are not well suited to meet the unique needs of patients with HMs. Although studies have established the role of specialty palliative care for improving QOL and EOL outcomes in patients with solid tumors, numerous disease-, clinician-, and system-based barriers prevail, limiting the integration of palliative care for patients with HMs. Nonetheless, multiple studies have emerged over the past decade identifying the role of palliative care integration in patients with various HMs, resulting in improvements in patient-reported QOL, symptom burden, and psychological distress, as well as EOL care. Importantly, these studies have also identified active components of specialty palliative care interventions, including strategies to promote adaptive coping especially in the face of prognostic uncertainty. Future work can leverage the knowledge gained from specialty palliative care integration to develop and test primary palliative care interventions by training clinicians caring for patients with HMs to incorporate these strategies into their clinical practice.
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Affiliation(s)
- Areej El-Jawahri
- Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jason A Webb
- Knight Cancer Institute, Oregon Health and Sciences University, Portland, Oregon
| | - Hannon Breffni
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
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Jensen-Battaglia M, LoCastro M, Oh H, Sanapala C, Flannery M, Mendler JH, Liesveld J, Huselton E, Loh KP. Patient-oncologist discussion of treatment decisions: Exploring the role of a patient-centered communication tool for older adults with acute myeloid leukemia and their caregivers. J Geriatr Oncol 2024; 15:101716. [PMID: 38336521 DOI: 10.1016/j.jgo.2024.101716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/12/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024]
Affiliation(s)
- Marielle Jensen-Battaglia
- James P. Wilmot Cancer Institute and Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
| | - Marissa LoCastro
- University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
| | - Haejung Oh
- The Catholic University of Korea, School of Medicine, Seoul, South Korea
| | | | - Marie Flannery
- School of Nursing, University of Rochester Medical Center, Rochester, NY, USA.
| | - Jason H Mendler
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
| | - Jane Liesveld
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
| | - Eric Huselton
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
| | - Kah Poh Loh
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
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6
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Palmieri R, Billio A, Ferrara F, Galimberti S, Lemoli RM, Todisco E, Moretti F, Venditti A. Literature review and expert opinion on the treatment of high-risk acute myeloid leukemia in patients who are eligible for intensive chemotherapy. Front Oncol 2024; 14:1367393. [PMID: 38444680 PMCID: PMC10912626 DOI: 10.3389/fonc.2024.1367393] [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: 01/08/2024] [Accepted: 02/06/2024] [Indexed: 03/07/2024] Open
Abstract
In patients with Acute Myeloid Leukemia (AML), the assessment of disease risk plays a central role in the era of personalized medicine. Indeed, integrating baseline clinical and biological features on a case-by-case basis is not only essential to select which treatment would likely result in a higher probability of achieving complete remission, but also to dynamically customize any subsequent therapeutic intervention. For young high-risk patients with low comorbidities burden and in good general conditions (also called "fit" patients), intensive chemotherapy followed by allogeneic stem cell transplantation still represents the backbone of any therapeutic program. However, with the approval of novel promising agents in both the induction/consolidation and the maintenance setting, the algorithms for the management of AML patients considered eligible for intensive chemotherapy are in constant evolution. In this view, we selected burning issues regarding the identification and management of high-risk AML, aiming to provide practical advice to facilitate their daily clinical management in patients considered eligible for intensive chemotherapy.
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Affiliation(s)
- Raffaele Palmieri
- Hematology, Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy
| | - Atto Billio
- Division of Hematology and Bone Marrow Transplant (BMT), Hospital S. Maurizio, Bolzano, Italy
| | | | - Sara Galimberti
- Hematology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto M. Lemoli
- Cattedra di Ematologia, Dipartimento di Medicina Interna (DiMI), Università di Genova, Genova, Italy
- Clinica Ematologica, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Martino, Genova, Italy
| | - Elisabetta Todisco
- Struttura Complessa (SC) Ematologia, Ospedale Busto Arsizio, Azienda Socio Sanitaria Territoriale (ASST) Valle Olona, Varese, Italy
| | - Federico Moretti
- Hematology, Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy
| | - Adriano Venditti
- Hematology, Department of Biomedicine and Prevention, University Tor Vergata, Rome, Italy
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7
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Dharmani C, Wang E, Tu N, Fofah O, Cueto J, Salas M, Kamel YM. Elderly patients with acute myeloid leukemia who only receive supportive care in the Surveillance, Epidemiology and End Results-Medicare database: demographics, treatment patterns and outcomes. Future Oncol 2023; 19:1677-1693. [PMID: 37345543 DOI: 10.2217/fon-2022-0786] [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] [Indexed: 06/23/2023] Open
Abstract
Aim: Elderly acute myeloid leukemia (AML) patients are often not treated with antileukemic therapy due to their poor overall health condition, leaving supportive care as the sole treatment option. Objective: To evaluate patient characteristics, treatment patterns and outcomes of elderly patients with AML who are treated with supportive care only. Methods: A retrospective analysis of elderly AML patients included in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015. Results: Of elderly patients with AML (n = 7665), 3209 (41.9%) received supportive care only. Their mean age was 79 years, 50.5% were males; 48.2% died during the first 3 months and 67.3% died during the first 6 months. 82.2% died within the first year; only 13.2% survived >12 months. 77.9% patients died due to leukemia. Conclusion: In elderly AML patients treated with supportive care only, older age, concurrent hypertension, chronic obstructive pulmonary disease, chronic kidney disease and acute myocardial infarction were identified as prognostic factors associated with decreased likelihood of survival. Ideally, these patients should be treated with antileukemic therapy in addition to supportive care, as most of them die from disease progression.
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Affiliation(s)
- Charles Dharmani
- Daiichi Sankyo, Inc., 211 Mt. Airy Rd., Basking Ridge, NJ, 07920 USA
| | - Eric Wang
- Daiichi Sankyo, Inc., 211 Mt. Airy Rd., Basking Ridge, NJ, 07920 USA
| | - Nora Tu
- Daiichi Sankyo, Inc., 211 Mt. Airy Rd., Basking Ridge, NJ, 07920 USA
| | - Oluwatosin Fofah
- Rutgers University, 160 Frelinghuysen Rd, Piscataway, NJ 08854 USA
| | - Jenilee Cueto
- Daiichi Sankyo, Inc., 211 Mt. Airy Rd., Basking Ridge, NJ, 07920 USA
| | - Maribel Salas
- Daiichi Sankyo, Inc., 211 Mt. Airy Rd., Basking Ridge, NJ, 07920 USA
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8
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Jamy OH, Dudley WN, Dudley LS, Scott JM, Wujcik D. Goals, preferences, and concerns of patients with acute myeloid leukemia at time of treatment decision. J Geriatr Oncol 2023; 14:101555. [PMID: 37327759 DOI: 10.1016/j.jgo.2023.101555] [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: 12/07/2022] [Revised: 05/16/2023] [Accepted: 06/02/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Current cancer value-based models require documentation of patient goals of care and an evidence-based treatment course commensurate with patient goals. This feasibility study assessed the utility of an electronic tablet-based questionnaire to elicit patient goals, preferences, and concerns at a treatment decision making time point in patients with acute myeloid leukemia. MATERIALS AND METHODS Seventy-seven patients were recruited from three institutions prior to seeing the physician for treatment decision-making visit. Questionnaires included demographics, patient beliefs, and decision-making preferences. Analyses included standard descriptive statistics appropriate for the level of measurement. RESULTS Median age was 71 (range = 61-88), 64.9% female, 87.0% white, and 48.6% college educated. On average, patients completed the surveys unassisted in 16.24 min and providers reviewed the dashboard in 3.5 min. All but one patient completed the survey prior to starting treatment (98.7%). Providers reviewed the survey results prior to seeing the patient 97.4% of the time. When asked their goals of care, 57 (74.0%) patients agreed with the statement "my cancer is curable" and 75 (97.4%) agreed that the treatment goal was to get rid of all cancer. Seventy-seven (100%) agreed the goal of care is to feel better and 76 (98.7%) agreed the goal of care is live longer. Forty-one (53.9%) indicated they wanted to make treatment decisions together with the provider. The top two concerns were understanding treatment options (n = 24; 31.2%) and making the right decision (n = 22; 28.6%). DISCUSSION This pilot demonstrated the feasibility of using technology for decision-making at the point of care. Eliciting patient goals of care, treatment outcomes expectations, decision-making preferences, and top concerns may provide clinicians with information to inform the treatment discussion. A simple electronic tool may provide valuable insight into patient understanding of disease to better tailor patient-provider discussion and treatment decision-making.
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Affiliation(s)
- Omer Hassan Jamy
- Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
| | - William N Dudley
- Piedmont Research Strategies, Inc, Greensboro, NC, United States of America.
| | - Leah S Dudley
- Piedmont Research Strategies, Inc, Greensboro, NC, United States of America
| | - Julie M Scott
- Carevive Systems, Inc, Miami, FL, United States of America.
| | - Debra Wujcik
- Carevive Systems, Inc, Miami, FL, United States of America.
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9
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Venditti A, Cairoli R, Caira M, Finsinger P, Finocchiaro F, Neri B, De Benedittis D, Rossi G, Ferrara F. Assessing eligibility for treatment in acute myeloid leukemia in 2023. Expert Rev Hematol 2023; 16:181-190. [PMID: 36876439 DOI: 10.1080/17474086.2023.2185603] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
INTRODUCTION Age has historically been considered the main criterion to determine eligibility for intensive chemotherapy in patients with acute myeloid leukemia (AML), but age alone can no longer be considered an absolute indicator in determining which patients should be defined as unfit. Assessment of fitness for a given treatment today serves an important role in tailoring therapeutic options. AREAS COVERED This review examines the main options used in real life to define eligibility for intensive and nonintensive chemotherapy in patients with AML, with a main focus on the Italian SIE/SIES/GITMO Consensus Criteria. Other published real-life experiences are also reviewed, analyzing the correlation between these criteria and short-term mortality, and thus expected outcomes. EXPERT OPINION Assessment of fitness is mandatory at diagnosis to tailor treatment to the greatest degree possible, evaluating the patient's individual profile. This is especially relevant when considering the availability of newer, less toxic therapeutic regimens, which have shown promising results in patients with AML who are older or considered unfit for intensive treatment. Fitness assessment is now a fundamental part of AML management and a critical step that can potentially influence outcomes and not just predict them.
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Affiliation(s)
- Adriano Venditti
- Ematologia, Dipartimento di Biomedicina e Prevenzione, Università di Roma "Tor Vergata", Rome, Italy
| | - Roberto Cairoli
- Dipartimento Ematologia, Oncologia e Medicina Molecolare, ASST Grande Ospedale Metropolitano Niguarda-Milano, Milan, Italy
| | - Morena Caira
- Medical Department, AbbVie srl, Campoverde di Aprilia, Latina, Italy
| | - Paola Finsinger
- Medical Department, AbbVie srl, Campoverde di Aprilia, Latina, Italy
| | - Fabio Finocchiaro
- Medical Department, AbbVie srl, Campoverde di Aprilia, Latina, Italy
| | - Benedetta Neri
- Medical Department, AbbVie srl, Campoverde di Aprilia, Latina, Italy
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Teixeira A, Carreira L, Abalde-Cela S, Sampaio-Marques B, Areias AC, Ludovico P, Diéguez L. Current and Emerging Techniques for Diagnosis and MRD Detection in AML: A Comprehensive Narrative Review. Cancers (Basel) 2023; 15:cancers15051362. [PMID: 36900154 PMCID: PMC10000116 DOI: 10.3390/cancers15051362] [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: 12/12/2022] [Revised: 02/06/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Acute myeloid leukemia (AML) comprises a group of hematologic neoplasms characterized by abnormal differentiation and proliferation of myeloid progenitor cells. AML is associated with poor outcome due to the lack of efficient therapies and early diagnostic tools. The current gold standard diagnostic tools are based on bone marrow biopsy. These biopsies, apart from being very invasive, painful, and costly, have low sensitivity. Despite the progress uncovering the molecular pathogenesis of AML, the development of novel detection strategies is still poorly explored. This is particularly important for patients that check the criteria for complete remission after treatment, since they can relapse through the persistence of some leukemic stem cells. This condition, recently named as measurable residual disease (MRD), has severe consequences for disease progression. Hence, an early and accurate diagnosis of MRD would allow an appropriate therapy to be tailored, improving a patient's prognosis. Many novel techniques with high potential in disease prevention and early detection are being explored. Among them, microfluidics has flourished in recent years due to its ability at processing complex samples as well as its demonstrated capacity to isolate rare cells from biological fluids. In parallel, surface-enhanced Raman scattering (SERS) spectroscopy has shown outstanding sensitivity and capability for multiplex quantitative detection of disease biomarkers. Together, these technologies can allow early and cost-effective disease detection as well as contribute to monitoring the efficiency of treatments. In this review, we aim to provide a comprehensive overview of AML disease, the conventional techniques currently used for its diagnosis, classification (recently updated in September 2022), and treatment selection, and we also aim to present how novel technologies can be applied to improve the detection and monitoring of MRD.
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Affiliation(s)
- Alexandra Teixeira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Luís Carreira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Belém Sampaio-Marques
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Anabela C. Areias
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Paula Ludovico
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
| | - Lorena Diéguez
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
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11
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Abdallah M, Kadambi S, Parsi M, Rai M, Mendler JH, Wittink M, Duberstein PR, Tsang M, Klepin HD, Loh KP. Older patients' experiences following initial diagnosis of acute myeloid leukemia: A qualitative study. J Geriatr Oncol 2022; 13:1230-1235. [PMID: 36064536 PMCID: PMC9982634 DOI: 10.1016/j.jgo.2022.08.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/16/2022] [Accepted: 08/24/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION The onset of symptoms and the diagnosis of acute myeloid leukemia (AML) often occur suddenly and may lead to a range of emotional responses. Understanding patients' experiences and emotional states allows clinicians to tailor care to patients' needs. Previous studies have largely focused on patients' experiences at diagnosis and after remission has been achieved among those who received intensive chemotherapy. In this study, we evaluated experiences of older patients with AML who had received or were receiving treatments of varying intensity, in both outpatient and inpatient settings, and who were at different stages in their treatment course at the time of our interviews. MATERIALS AND METHODS We conducted a single center qualitative study which aimed to understand factors influencing older patients' treatment decision-making and the findings were previously reported. This analysis specifically explored older patients' experiences at various stages after AML diagnosis. We purposively sampled patients based on treatment intensity and stage of treatment (undergoing induction treatment, post-remission treatment, or post-allogeneic hematopoietic stem cell transplant). We recruited fifteen patients aged ≥60 years with AML. The sample size was determined based on reaching data saturation for the primary study aim. For this analysis, data saturation was reached by the fourteenth manuscript. In-depth semi-structured interviews that had been recorded and transcribed were re-analyzed using inductive thematic analysis to explore patients' experiences. Coding was performed using Atlas.ti. We identified themes with the aim of capturing the most commonly shared experiences. RESULTS Mean age of the fifteen patients was 72.1 years; all had received one or more treatments including intensive induction therapy (10/15), lower-intensity treatment (7/15), and/or hematopoietic stem cell transplant (3/15). Patients experienced strong negative emotional responses, including shock, that were barriers to processing information and meaningful communication. Patients also shared their perspectives on communication with healthcare professionals (including thoughts on adequacy of information provided) and coping strategies. DISCUSSION Understanding older patients' experiences, including emotional responses and barriers to communication and decision making, at AML diagnosis and throughout the illness trajectory allows clinicians to address patients' supportive care needs during this difficult period.
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Affiliation(s)
- Maya Abdallah
- Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA, United States of America.
| | - Sindhuja Kadambi
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, United States of America.
| | - Meghana Parsi
- MD Anderson Cancer Center at Cooper University Hospital, Camden, NJ, United States of America.
| | - Maitreyee Rai
- Division of Hematology and Medical Oncology, Allegheny Health Network, Pittsburgh, PA, United States of America
| | - Jason H Mendler
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, United States of America.
| | - Marsha Wittink
- Departments of Psychiatry and Family Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States of America.
| | - Paul R Duberstein
- Rutgers School of Public Health, Piscataway, NJ, United States of America.
| | - Mazie Tsang
- University of California, San Francisco, CA, United States of America.
| | - Heidi D Klepin
- Wake Forest Baptist Comprehensive Cancer Center, Medical Center Blvd, Winston-Salem, NC, United States of America.
| | - Kah Poh Loh
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, United States of America.
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12
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Dozzo A, Galvin A, Shin JW, Scalia S, O'Driscoll CM, Ryan KB. Modelling acute myeloid leukemia (AML): What's new? A transition from the classical to the modern. Drug Deliv Transl Res 2022:10.1007/s13346-022-01189-4. [PMID: 35930221 DOI: 10.1007/s13346-022-01189-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 11/24/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous malignancy affecting myeloid cells in the bone marrow (BM) but can spread giving rise to impaired hematopoiesis. AML incidence increases with age and is associated with poor prognostic outcomes. There has been a disconnect between the success of novel drug compounds observed in preclinical studies of hematological malignancy and less than exceptional therapeutic responses in clinical trials. This review aims to provide a state-of-the-art overview on the different preclinical models of AML available to expand insights into disease pathology and as preclinical screening tools. Deciphering the complex physiological and pathological processes and developing predictive preclinical models are key to understanding disease progression and fundamental in the development and testing of new effective drug treatments. Standard scaffold-free suspension models fail to recapitulate the complex environment where AML occurs. To this end, we review advances in scaffold/matrix-based 3D models and outline the most recent advances in on-chip technology. We also provide an overview of clinically relevant animal models and review the expanding use of patient-derived samples, which offer the prospect to create more "patient specific" screening tools either in the guise of 3D matrix models, microphysiological "organ-on-chip" tools or xenograft models and discuss representative examples.
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Affiliation(s)
| | - Aoife Galvin
- School of Pharmacy, University College Cork, Cork, Ireland
| | - Jae-Won Shin
- Department of Pharmacology and Regenerative Medicine, University of Illinois at Chicago College of Medicine, 909 S. Wolcott Ave, Chicago, IL, 5091 COMRB, USA
| | - Santo Scalia
- Università degli Studi di Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy
| | - Caitriona M O'Driscoll
- School of Pharmacy, University College Cork, Cork, Ireland.,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland
| | - Katie B Ryan
- School of Pharmacy, University College Cork, Cork, Ireland. .,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland.
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13
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Vaughn DM, Johnson PC, Jagielo AD, Topping CEW, Reynolds MJ, Kavanaugh AR, Webb JA, Fathi AT, Hobbs G, Brunner A, O'Connor N, Luger S, Bhatnagar B, LeBlanc TW, El-Jawahri A. Factors Associated with Health Care Utilization at the End of Life for Patients with Acute Myeloid Leukemia. J Palliat Med 2021; 25:749-756. [PMID: 34861118 DOI: 10.1089/jpm.2021.0249] [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: 11/13/2022] Open
Abstract
Background: Patients (≥60 years) with acute myeloid leukemia (AML) often receive intense health care utilization at the end of life (EOL). However, factors associated with their health care use at the EOL are unknown. Methods: We conducted a secondary analysis of 168 deceased patients with AML within the United States. We assessed quality of life (QOL) (Functional-Assessment-Cancer-Therapy-Leukemia), and psychological distress (Hospital-Anxiety-and-Depression Scale [HADS]; Patient-Health-Questionnaire-9 [PHQ-9]) at diagnosis. We used multivariable logistic regression models to examine the association between patient-reported factors and the following outcomes: (1) hospitalizations in the last 7 days of life, (2) receipt of chemotherapy in the last 30 days of life, and (3) hospice utilization. Results: About 66.7% (110/165) were hospitalized in the last 7 days of life, 51.8% (71/137) received chemotherapy in the last 30 days of life, and 40.7% (70/168) utilized hospice. In multivariable models, higher education (odds ratio [OR] = 1.54, p = 0.006) and elevated baseline depression symptoms (PHQ-9: OR = 1.09, p = 0.028) were associated with higher odds of hospitalization in the last seven days of life, while higher baseline QOL (OR = 0.98, p = 0.009) was associated with lower odds of hospitalization at the EOL. Higher baseline depression symptoms were associated with receipt of chemotherapy at the EOL (HADS-Depression: OR = 1.10, p = 0.042). Higher education was associated with lower hospice utilization (OR = 0.356, p = 0.024). Conclusions: Patients with AML who are more educated, with higher baseline depression symptoms and lower QOL, were more likely to experience high health care utilization at the EOL. These populations may benefit from interventions to optimize the quality of their EOL care.
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Affiliation(s)
- Dagny M Vaughn
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - P Connor Johnson
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Annemarie D Jagielo
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Carlisle E W Topping
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Matthew J Reynolds
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alison R Kavanaugh
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Jason A Webb
- Department of Medicine, Division of Hematology/Medical Oncology, Oregon Health and Science University, Portland, Oregon, USA
| | - Amir T Fathi
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Gabriela Hobbs
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Brunner
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Nina O'Connor
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Selina Luger
- Department of Medicine, Division of Hematology and Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Bhavana Bhatnagar
- Department of Medicine, Section of Hematology/Oncology, West Virginia University Cancer Institute, Wheeling Hospital, Wheeling, West Virginia, USA
| | - Thomas W LeBlanc
- Department of Medicine, Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, Durham, North Carolina, USA
| | - Areej El-Jawahri
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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14
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Liu F, Zhao Q, Su Y, Lv J, Gai Y, Liu S, Lin H, Wang Y, Wang G. Cotargeting of Bcl-2 and Mcl-1 shows promising antileukemic activity against AML cells including those with acquired cytarabine resistance. Exp Hematol 2021; 105:39-49. [PMID: 34767916 DOI: 10.1016/j.exphem.2021.10.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 11/19/2022]
Abstract
Acute myeloid leukemia (AML) remains a clinical challenge. Venetoclax is an effective Bcl-2 selective inhibitor approved by the U.S. Food and Drug Administration (FDA) for treatment of AML in patients who are 75 years and older or who have comorbidities. However, resistance to venetoclax limits its clinical efficacy. Mcl-1 has been identified as one determinant of resistance to venetoclax treatment. In this study, we investigate the Mcl-1 inhibitor S63845 in combination with venetoclax in AML cells. We found that S63845 synergizes with venetoclax in AML cell lines and primary patient samples. Bak/Bax double knockdown and treatment with the pan-caspase inhibitor Z-VAD-FMK revealed that the combination induces intrinsic apoptosis in AML cells. Inhibition of Mcl-1 using another Mcl-1 selective inhibitor, AZD5991, also synergistically enhanced apoptosis induced by venetoclax in a caspase-dependent manner. Importantly, S63845 in combination with venetoclax can effectively combat AML cells with acquired resistance to the standard chemotherapy drug cytarabine. In light of these facts, the combined inhibition of Mcl-1 and Bcl-2 shows promise against AML cells, including relapse/refractory AML.
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Affiliation(s)
- Fangbing Liu
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Qiushi Zhao
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Yongwei Su
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Jing Lv
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Yuqing Gai
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Shuang Liu
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China
| | - Hai Lin
- Department of Hematology and Oncology, First Hospital of Jilin University, Changchun, China
| | - Yue Wang
- Department of Pediatric Hematology and Oncology, First Hospital of Jilin University, Changchun, China.
| | - Guan Wang
- National Engineering Laboratory for AIDS Vaccine, Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences, Jilin University, Changchun, China;.
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15
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Štefík P, Annušová A, Lakatoš B, Elefantová K, Čepcová L, Hofbauerová M, Kálosi A, Jergel M, Majková E, Šiffalovič P. Targeting acute myeloid leukemia cells by CD33 receptor-specific MoS 2-based nanoconjugates. Biomed Mater 2021; 16. [PMID: 34280914 DOI: 10.1088/1748-605x/ac15b1] [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: 03/25/2021] [Accepted: 07/19/2021] [Indexed: 11/12/2022]
Abstract
Acute myeloid leukemia (AML) is a highly aggressive type of cancer caused by the uncontrolled proliferation of undifferentiated myeloblasts, affecting the bone marrow and blood. Systemic chemotherapy is considered the primary treatment strategy; unfortunately, healthy cells are also affected to a large extent, leading to severe side effects of this treatment. Targeted drug therapies are becoming increasingly popular in modern medicine, as they bypass normal tissues and cells. Two-dimensional MoS2-based nanomaterials have attracted attention in the biomedical field as promising agents for cancer diagnosis and therapy. Cancer cells typically (over)express distinctive cytoplasmic membrane-anchored or -spanning protein-based structures (e.g., receptors, enzymes) that distinguish them from healthy, non-cancerous cells. Targeting cancer cells via tumor-specific markers using MoS2-based nanocarriers loaded with labels or drugs can significantly improve specificity and reduce side effects of such treatment. SKM-1 is an established AML cell line that has been employed in various bio-research applications. However, to date, it has not been used as the subject of studies on selective cancer targeting by inorganic nanomaterials. Here, we demonstrate an efficient targeting of AML cells using MoS2nanoflakes prepared by a facile exfoliation route and functionalized with anti-CD33 antibody that binds to CD33 receptors expressed by SKM-1 cells. Microscopic analyses by confocal laser scanning microscopy supplemented by label-free confocal Raman microscopy proved that (anti-CD33)-MoS2conjugates were present on the cell surface and within SKM-1 cells, presumably having been internalized via CD33-mediated endocytosis. Furthermore, the cellular uptake of SKM-1 specific (anti-CD33)-MoS2conjugates assessed by flow cytometry analysis was significantly higher compared with the cellular uptake of SKM-1 nonspecific (anti-GPC3)-MoS2conjugates. Our results indicate the importance of appropriate functionalization of MoS2nanomaterials by tumor-recognizing elements that significantly increase their specificity and hence suggest the utilization of MoS2-based nanomaterials in the diagnosis and therapy of AML.
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Affiliation(s)
- Pavol Štefík
- Institute of Biochemistry and Microbiology, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakia
| | - Adriana Annušová
- Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia.,Centre for Advanced Materials Application, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
| | - Boris Lakatoš
- Institute of Biochemistry and Microbiology, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakia
| | - Katarína Elefantová
- Institute of Biochemistry and Microbiology, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakia
| | - Lucia Čepcová
- Institute of Biochemistry and Microbiology, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakia
| | - Monika Hofbauerová
- Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
| | - Anna Kálosi
- Centre for Advanced Materials Application, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
| | - Matej Jergel
- Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia.,Centre for Advanced Materials Application, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
| | - Eva Majková
- Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia.,Centre for Advanced Materials Application, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
| | - Peter Šiffalovič
- Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia.,Centre for Advanced Materials Application, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia
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16
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Loh KP, Abdallah M, Kadambi S, Wells M, Kumar AJ, Mendler J, Liesveld J, Wittink M, O’Dwyer K, Becker MW, McHugh C, Stock W, Majhail NS, Wildes TM, Duberstein P, Mohile SG, Klepin HD. Treatment decision-making in acute myeloid leukemia: a qualitative study of older adults and community oncologists. Leuk Lymphoma 2021; 62:387-398. [PMID: 33040623 PMCID: PMC7878016 DOI: 10.1080/10428194.2020.1832662] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 09/13/2020] [Accepted: 09/29/2020] [Indexed: 01/19/2023]
Abstract
Little is known about the characteristics of patients, physicians, and organizations that influence treatment decisions in older patients with AML. We conducted qualitative interviews with community oncologists and older patients with AML to elicit factors that influence their treatment decision-making. Recruitment was done via purposive sampling and continued until theoretical saturation was reached, resulting in the inclusion of 15 patients and 15 oncologists. Participants' responses were analyzed using directed content analysis. Oncologists and patients considered comorbidities, functional status, emotional health, cognition, and social factors when deciding treatment; most oncologists evaluated these using clinical gestalt. Sixty-seven percent of patients perceived that treatment was their only option and that they had not been offered a choice. In conclusion, treatment decision-making is complex and influenced by patient-related factors. These factors can be assessed as part of a geriatric assessment which can help oncologists better determine fitness and guide treatment decision-making.
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Affiliation(s)
- Kah Poh Loh
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Maya Abdallah
- Department of Medicine, Sections of Geriatrics and Hematology/Oncology, Boston University School of Medicine, Boston, , Massachusetts
| | - Sindhuja Kadambi
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Megan Wells
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | | | - Jason Mendler
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Jane Liesveld
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Marsha Wittink
- Department of Psychiatry, University of Rochester Medical Center
| | - Kristen O’Dwyer
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Michael W. Becker
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Colin McHugh
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Wendy Stock
- The University of Chicago Medicine Comprehensive Cancer Center, Chicago, Illinois
| | - Navneet S. Majhail
- Blood and Marrow Transplant Program, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio
| | - Tanya M. Wildes
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | | | - Supriya Gupta Mohile
- James P. Wilmot Cancer Institute, Division of Hematology/Oncology, Department of Medicine, University of Rochester Medical Center
| | - Heidi D. Klepin
- Wake Forest Baptist Comprehensive Cancer Center, Medical Center Blvd, Winston-Salem, NC
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