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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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Servais S, Beguin Y, Baron F. OUP accepted manuscript. Stem Cells Transl Med 2022; 11:461-477. [PMID: 35438781 PMCID: PMC9154332 DOI: 10.1093/stcltm/szac015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/25/2022] [Indexed: 11/12/2022] Open
Abstract
As in younger patients, allogeneic stem cell transplantation (alloHSCT) offers the best chance for durable remission in older patients (≥60 years) with acute myeloid leukemia (AML). However, defining the best treatment strategy (and in particular, whether or not to proceed to alloHSCT) for elderly patients with AML remains a difficult decision for the hematologist, since potential toxicity of conditioning regimens, risks of graft-versus-host disease, impaired immune reconstitution and the need for prolonged immunosuppression may be of major concern in these vulnerable patients with complex needs. Hopefully, significant progress has been made over the past decade in alloHSCT for elderly patients and current evidence suggests that chronological age per se (between 60 and 75) is not a reliable predictor of outcome after alloHSCT. Here, we review the current state of alloHSCT in elderly patients with AML and also discuss the different approaches currently being investigated to improve both accessibility to as well as success of alloHSCT in these patients.
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Affiliation(s)
- Sophie Servais
- Department of Clinical Hematology, CHU of Liège, Liège, Belgium
- Hematology Research Unit GIGA-I3, University of Liège, Liège, Belgium
| | - Yves Beguin
- Department of Clinical Hematology, CHU of Liège, Liège, Belgium
- Hematology Research Unit GIGA-I3, University of Liège, Liège, Belgium
| | - Frédéric Baron
- Corresponding author: Baron Frédéric, Clinical Hematology Department, University of Liège, CHU of Liège (Sart-Tilman), 4000 Liège, Belgium. Tel: +32 4 366 72 01;
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3
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Yu T, Chi J, Wang L. Clinical values of gene alterations as marker of minimal residual disease in non-M3 acute myeloid leukemia. Hematology 2021; 26:848-859. [PMID: 34674615 DOI: 10.1080/16078454.2021.1990503] [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: 10/20/2022] Open
Abstract
Acute myeloid leukemia (AML) is a malignant disease of the hematopoietic system. Residual leukemic cells after treatment are associated with relapse. Thus, detecting minimal residual disease (MRD) is significant. Major techniques for MRD assessment include multiparameter flow cytometry (MFC), polymerase chain reaction (PCR), and next-generation sequencing (NGS). At a molecular level, AML is the consequence of collaboration of several gene alterations. Some of these gene alterations can also be used as MRD markers to evaluate the level of residual leukemic cells by PCR and NGS. However, when as MRD markers, different gene alterations have different clinical values. This paper aims to summarize the characteristics of various MRD markers, so as to better predict the clinical outcome of AML patients and guide the treatment.
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Affiliation(s)
- Tingyu Yu
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Jianxiang Chi
- Center for the Study of Hematological Malignancies, Nicosia, Cyprus
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
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4
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Mims AS, Kohlschmidt J, Borate U, Blachly JS, Orwick S, Eisfeld AK, Papaioannou D, Nicolet D, Mrόzek K, Stein E, Bhatnagar B, Stone RM, Kolitz JE, Wang ES, Powell BL, Burd A, Levine RL, Druker BJ, Bloomfield CD, Byrd JC. A precision medicine classification for treatment of acute myeloid leukemia in older patients. J Hematol Oncol 2021; 14:96. [PMID: 34162404 PMCID: PMC8220739 DOI: 10.1186/s13045-021-01110-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/04/2021] [Indexed: 01/22/2023] Open
Abstract
Background Older patients (≥ 60 years) with acute myeloid leukemia (AML) often have multiple, sequentially acquired, somatic mutations that drive leukemogenesis and are associated with poor outcome. Beat AML is a Leukemia and Lymphoma Society-sponsored, multicenter umbrella study that algorithmically segregates AML patients based upon cytogenetic and dominant molecular abnormalities (variant allele frequencies (VAF) ≥ 0.2) into different cohorts to select for targeted therapies. During the conception of the Beat AML design, a historical dataset was needed to help in the design of the genomic algorithm for patient assignment and serve as the basis for the statistical design of individual genomic treatment substudies for the Beat AML study. Methods We classified 563 newly diagnosed older AML patients treated with standard intensive chemotherapy on trials conducted by Cancer and Leukemia Group B based on the same genomic algorithm and assessed clinical outcomes. Results Our classification identified core-binding factor and NPM1-mutated/FLT3-ITD-negative groups as having the best outcomes, with 30-day early death (ED) rates of 0 and 20%, respectively, and median overall survival (OS) of > 1 year and 3-year OS rates of ≥ 20%. All other genomic groups had ED rates of 17–42%, median OS ≤ 1 year and 3-year OS rates of ≤ 15%. Conclusions By classifying patients through this genomic algorithm, outcomes were poor and not unexpected from a non-algorithmic, non-dominant VAF approach. The exception is 30-day ED rate typically is not available for intensive induction for individual genomic groups and therefore difficult to compare outcomes with targeted therapeutics. This Alliance data supported the use of this algorithm for patient assignment at the initiation of the Beat AML study. This outcome data was also used for statistical design for Beat AML substudies for individual genomic groups to determine goals for improvement from intensive induction and hopefully lead to more rapid approval of new therapies. Trial registration ClinicalTrials.gov Identifiers: NCT00048958 (CALGB 8461), NCT00900224 (CALGB 20202), NCT00003190 (CALGB 9720), NCT00085124 (CALGB 10201), NCT00742625 (CALGB 10502), NCT01420926 (CALGB 11002), NCT00039377 (CALGB 10801), and NCT01253070 (CALGB 11001). Supplementary Information The online version contains supplementary material available at 10.1186/s13045-021-01110-5.
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Affiliation(s)
- Alice S Mims
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA.
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Uma Borate
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA.,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Dimitrios Papaioannou
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Krzysztof Mrόzek
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA.,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Eytan Stein
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bhavana Bhatnagar
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | | | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Eunice S Wang
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Amy Burd
- The Leukemia and Lymphoma Society, White Plains, NY, USA
| | - Ross L Levine
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Clara D Bloomfield
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA
| | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, 320 West 10th Avenue, Starling Loving Hall B302, Columbus, OH, 43210, USA. .,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA. .,The Ohio State University Comprehensive Cancer Center, 455 CCC Wiseman Hall, 400 West 12th Avenue, Columbus, OH, 43210-1228, USA.
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The Impact of DNMT3A Status on NPM1 MRD Predictive Value and Survival in Elderly AML Patients Treated Intensively. Cancers (Basel) 2021; 13:cancers13092156. [PMID: 33947035 PMCID: PMC8124973 DOI: 10.3390/cancers13092156] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 03/31/2021] [Accepted: 04/05/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary DNMT3A mutation has been associated with adverse outcomes. In this study, we aimed to investigate the impact of DNMT3A status on NPM1 MRD predictive value for survival in a retrospective cohort of acute myeloid leukemia (AML) patients aged over 60 years old treated intensively. A total of 138 patients treated for NPM1-mutated AML in two French institutions were analyzed retrospectively. A 4log reduction of NPM1 MRD was associated with a better outcome. DNMT3A negative patients who achieved a 4log reduction had a superior outcome to those who did not. However, postinduction NPM1 MRD1 reduction was not predictive of OS and LFS in DNMT3Amut patients. These results confirm that post-induction NPM1 MRD1 is a reliable tool to assess disease outcome in elderly AML patients. However, the presence of DNMT3A also identify a subgroup of patients at high risk of relapse. Abstract Minimal residual disease (MRD) is now a powerful surrogate marker to assess the response to chemotherapy in acute myeloid leukemia (AML). DNMT3A mutation has been associated with adverse outcomes. In this study, we aimed to investigate the impact of DNMT3A status on NPM1 MRD predictive value for survival in a retrospective cohort of AML patients aged over 60 years old treated intensively. A total of 138 patients treated for NPM1-mutated AML in two French institutions were analyzed retrospectively. DNMT3A status did not influence the probability of having a ≥ 4log MRD1 reduction after induction. Only 20.4% of FLT3-ITD patients reached ≥ 4log MRD1 reduction compared to 47.5% in FLT3wt cases. A 4log reduction of NPM1 MRD was associated with a better outcome, even in FLT3-ITD mutated patients, independent of the allelic ratio. DNMT3A negative patients who reached a 4log reduction had a superior outcome to those who did not (HR = 0.23; p < 0.001). However, postinduction NPM1 MRD1 reduction was not predictive of OS and LFS in DNMT3Amut patients. These results confirm that post-induction NPM1 MRD1 is a reliable tool to assess disease outcome in elderly AML patients. However, the presence of DNMT3A also identifies a subgroup of patients at high risk of relapse.
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Tang H, Jia S, Bi L, Jia W, Gao G. Treatment options for older unfit patients with acute myeloid leukemia. Future Oncol 2021; 17:837-851. [PMID: 33522289 DOI: 10.2217/fon-2020-0615] [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: 11/21/2022] Open
Abstract
Older acute myeloid leukemia patients usually experience a bleak outcome, especially those in the unfit group. For this unfit category, intensive chemotherapy and allogeneic stem cell transplantation are usually accompanied by higher early mortality, which results from higher risk genetic profiles and worse psychological and physiological conditions. The significant improvement in genetic technology recently has driven the appearance of several mutation-targeted therapies, such as FLT3, Bcl-2, IDH and Hedgehog pathway inhibitors and an anti-CD33 antibody-drug conjugate, which have changed enormously the therapeutic landscape of acute myeloid leukemia. This review describes the treatment dilemma of the unfit group and discusses the objective clinical data of each targeted drug and mechanisms of resistance, with a focus on combination strategies with fewer toxicities and abrogation of drug resistance.
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Affiliation(s)
- Hailong Tang
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Shuangshuang Jia
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Lei Bi
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Weijing Jia
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Guangxun Gao
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
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7
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Liu H, Zhang X, Li M, Zhou W, Jiang G, Yin W, Song C. The incidence and prognostic effect of Fms-like tyrosine kinase 3 gene internal tandem and nucleolar phosphoprotein 1 genes in acute myeloid leukaemia: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e23707. [PMID: 33371116 PMCID: PMC7748362 DOI: 10.1097/md.0000000000023707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 11/17/2020] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Molecular genotyping is an important prognostic role in acute myeloid leukemia (AML) patients. We aimed to design this meta-analysis to discuss the incidence and prognostic effect of nucleolar phosphoprotein 1 (NPM1) and Fms-like tyrosine kinase 3 gene internal tandem (FLT3-ITD) gene in AML patients. METHODS PubMed, Embase, Medline, and Cochrane library were systematically searched due to May 15, 2020. Four combinations of genotypes (FLT3-ITDneg/NPM1mut, FLT3-ITDpos/NPM1mut, FLT3-ITDneg/NPM1wt, FLT3-ITDpos/NPM1wt) were compared in association with the overall survival (OS) and leukemia-free survival (LFS) outcome, which expressed as pooled hazard ratio (HR) and 95% confidence intervals (CIs). RESULTS Twenty-eight studies were included in our study. The incidence of FLT3-ITDneg/NPM1mut, FLT3-ITDpos/NPM1mut, FLT3-ITDneg/NPM1wt, and FLT3-ITDpos/NPM1wt was 16%, 13%, 50%, and 10%, respectively. The patients with FLT3-ITDneg/NPM1mut gene may have the best OS and LFS when comparing with FLT3-ITDpos/NPM1mut (HR = 1.94 and 1.70, P < .01), FLT3-ITDneg/NPM1wt (HR = 1.57 and 2.09, P < .01), and FLT3-ITDpos/NPM1wt (HR = 2.25 and 2.84, P < .001). CONCLUSION AML patients with FLT3-ITDneg/NPM1mut gene type have the best survival outcome than the other 3 gene types, which should be an independent genotyping in AML classification.
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Affiliation(s)
| | | | - Ming Li
- Department of Laboratory Medicine
| | | | | | - Weihua Yin
- Department of Oncology, Yichun City People's Hospital
| | - Chunping Song
- Department of Blood Supply, Blood Station, Yichun City, Jiangxi Province, China
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8
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Testa U, Castelli G, Pelosi E. Isocitrate Dehydrogenase Mutations in Myelodysplastic Syndromes and in Acute Myeloid Leukemias. Cancers (Basel) 2020; 12:E2427. [PMID: 32859092 PMCID: PMC7564409 DOI: 10.3390/cancers12092427] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/03/2020] [Accepted: 08/20/2020] [Indexed: 02/07/2023] Open
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disease generated by the acquisition of multiple genetic and epigenetic aberrations which impair the proliferation and differentiation of hematopoietic progenitors and precursors. In the last years, there has been a dramatic improvement in the understanding of the molecular alterations driving cellular signaling and biochemical changes determining the survival advantage, stimulation of proliferation, and impairment of cellular differentiation of leukemic cells. These molecular alterations influence clinical outcomes and provide potential targets for drug development. Among these alterations, an important role is played by two mutant enzymes of the citric acid cycle, isocitrate dehydrogenase (IDH), IDH1 and IDH2, occurring in about 20% of AMLs, which leads to the production of an oncogenic metabolite R-2-hydroxy-glutarate (R-2-HG); this causes a DNA hypermethylation and an inhibition of hematopoietic stem cell differentiation. IDH mutations differentially affect prognosis of AML patients following the location of the mutation and other co-occurring genomic abnormalities. Recently, the development of novel therapies based on the specific targeting of mutant IDH may contribute to new effective treatments of these patients. In this review, we will provide a detailed analysis of the biological, clinical, and therapeutic implications of IDH mutations.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy; (G.C.); (E.P.)
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AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report. Biomark Res 2020; 8:29. [PMID: 32817791 PMCID: PMC7425159 DOI: 10.1186/s40364-020-00208-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 07/27/2020] [Indexed: 01/01/2023] Open
Abstract
Background The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have made their way into clinical practice. Methods In order to assess and improve the performance of the European LeukemiaNet guidelines, we developed novel prognostic models using the biomarkers from the guidelines, age, performance status and select transcript biomarkers. The models were developed separately for mononuclear cells and viable leukemic blasts from previously untreated acute myeloid leukemia patients (discovery cohort, N = 185) who received intensive chemotherapy. Models were validated in an independent set of similarly treated patients (validation cohort, N = 166). Results Models using European LeukemiaNet guidelines were significantly associated with clinical outcomes and, therefore, utilized as a baseline for comparisons. Models incorporating age and expression of select transcripts with biomarkers from European LeukemiaNet guidelines demonstrated higher area under the curve and C-statistics but did not show a substantial improvement in performance in the validation cohort. Subset analyses demonstrated that models using only the European LeukemiaNet guidelines were a better fit for younger patients (age < 55) than for older patients. Models integrating age and European LeukemiaNet guidelines visually showed more separation between risk groups in older patients. Models excluding results for ASXL1, CEBPA, RUNX1 and TP53, demonstrated that these mutations provide a limited overall contribution to risk stratification across the entire population, given the low frequency of mutations and confounding risk factors. Conclusions While European LeukemiaNet guidelines remain a critical tool for triaging patients with acute myeloid leukemia, the findings illustrate the need for additional prognostic factors, including age, to improve risk stratification.
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Sharplin K, Wee LYA, Singhal D, Edwards S, Danner S, Lewis I, Thomas D, Wei A, Yong ASM, Hiwase DK. Outcomes and health care utilization of older patients with acute myeloid leukemia. J Geriatr Oncol 2020; 12:243-249. [PMID: 32713804 DOI: 10.1016/j.jgo.2020.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 04/27/2020] [Accepted: 07/06/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The incidence of acute myeloid leukemia (AML) in older patients is increasing, but practice guidelines balancing quality-of-life, time outside of hospital and overall survival (OS) are not established. METHODS We conducted a retrospective analysis comparing time outside hospital, OS and end-of-life care in AML patients ≥60 years treated with intensive chemotherapy (IC), hypomethylating agents (HMA) and best supportive care (BSC) in a tertiary hospital. RESULTS Of 201 patients diagnosed between 2005 and 2015, 54% received IC while 14% and 32% were treated with HMA and BSC respectively. Median OS was significantly higher in patients treated with IC and HMA compared with BSC (11.5 versus 16.2 versus 1.3 months; p < .0001). Median number of hospital admissions for the entire cohort was 3 (1-17) and patients spent <50% of their life after the diagnosis in the hospital setting. Compared to BSC, IC (HR 0.27, p < .0001) and HMA therapy (HR 0.16, p < .0001) were associated with the lower likelihood of spending at least 25% of survival time in hospital. Although 66% patients were referred to palliative care, the interval between referral to death was 24 (1-971) days and 46% patients died in the hospital. CONCLUSION Older patients with AML, irrespective of treatment, require intensive health care resources, are more likely to die in hospital and less likely to use hospice services. Older AML patients treated with disease modifying therapy survive longer than those receiving BSC, and spend >50% of survival time outside the hospital. These data are informative for counselling older patients with AML.
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Affiliation(s)
- Kirsty Sharplin
- Haematology, Royal Adelaide Hospital, Port Road, Adelaide, Australia
| | - Li Yan A Wee
- Haematology, Royal Adelaide Hospital, Port Road, Adelaide, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Deepak Singhal
- Haematology, Royal Adelaide Hospital, Port Road, Adelaide, Australia; School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia
| | - Suzanne Edwards
- School of Public Health, University of Adelaide, Adelaide, Australia
| | - Silke Danner
- Haematology, Royal Adelaide Hospital, Port Road, Adelaide, Australia
| | - Ian Lewis
- School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia
| | - Daniel Thomas
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Andrew Wei
- Department of Clinical Hematology, Alfred Hospital and Monash University, Melbourne, Australia
| | - Agnes S M Yong
- Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia; School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia
| | - Devendra K Hiwase
- Haematology, Royal Adelaide Hospital, Port Road, Adelaide, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia; School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia.
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Ferrara F, Picardi A. Is outcome of older people with acute myeloid leukemia improving with new therapeutic approaches and stem cell transplantation? Expert Rev Hematol 2020; 13:99-108. [PMID: 31922453 DOI: 10.1080/17474086.2020.1715207] [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: 10/25/2022]
Abstract
Introduction: The clinical outcome of older patients with acute myeloid leukemia (AML) is still poor, especially for those who are unfit to treatments aimed at altering the natural course of the disease. Hypomethylating agents (HMA) offer an important therapeutic opportunity to a consistent number of patients, but long-term results are largely unsatisfactory.Area covered: Recently, a number of new agents have been registered for AML, some of which selectively available for older patient population, with promising results in terms of response rate and survival. Furthermore, the upper age limit for allogeneic stem cell transplantation is constantly increasing, so that this procedure is offered and actually given to an increasing number of older patients with AML. A literature review was conducted of the PubMed database for articles published in English as well as for abstracts from most important and recent hematology meetings on AML in older patients.Expert opinion: Appropriate selection among different options on the basis of clinical fitness and molecular findings at diagnosis as well as at relapse would result in improvement of therapeutic results, sparing unnecessary toxicity and optimizing health systems resources.
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Affiliation(s)
- Felicetto Ferrara
- Division of Hematology and Stem Cell Transplantation Program, AORN Cardarelli Hospital, Naples, Italy
| | - Alessandra Picardi
- Division of Hematology and Stem Cell Transplantation Program, AORN Cardarelli Hospital, Naples, Italy.,Department of Biomedicine and Prevention, University of Tor Vergata, Rome, Italy
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Feng S, Zhou L, Zhang X, Tang B, Zhu X, Liu H, Sun Z, Zheng C. Impact Of ELN Risk Stratification, Induction Chemotherapy Regimens And Hematopoietic Stem Cell Transplantation On Outcomes In Hyperleukocytic Acute Myeloid Leukemia With Initial White Blood Cell Count More Than 100 × 10 9/L. Cancer Manag Res 2019; 11:9495-9503. [PMID: 31807075 PMCID: PMC6850690 DOI: 10.2147/cmar.s225123] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 10/25/2019] [Indexed: 01/09/2023] Open
Abstract
Background Hyperleukocytic acute myeloid leukemia (AML) (initial white blood cell count≥100 × 109/L) is a clinical emergency often accompanied by leukostasis syndrome, tumor lysis syndrome (TLS), and disseminated intravascular coagulation (DIC), with a poor clinical prognosis. The aim of this study retrospectively analyzed the clinical features of hyperleukocytic AML, focusing on high-risk factors affecting prognosis, the selection of initial induction therapy, and the impact of hematopoietic stem cell transplantation (HSCT) on prognosis. Patients and methods A total of 558 AML patients at our center from January 2013 to December 2017 were diagnosed, and 52 (9.32%) patients presented with hyperleukocytosis were retrospectively reviewed. Results The 3-year overall survival (OS) rate in the 15–39 years old and 40–60 years old group was 58.8% and 25.4%, respectively; the longest survival time in patients aged >60 years was only 8 months, and the 8-month OS rate was 8.3% (p=0.002). The 3-year OS rate of the patients in the favorable risk group, intermediate risk group and high risk group, according to the 2017 ELN risk stratification, was 50%, 28.0%, and 29.5%, respectively (p=0.374). The 3-year OS rate of patients carrying CEBPA or NPM1 mutation and those with FLT3-ITD or MLL mutation was 37.5% and 30.0%, respectively (p=0.63). The 3-year OS rate of patients employing an induction regimen of a standard IA regimen was 58.4%, and of those employing a non-standard IA regimen was 22.2% (p=0.065). The 3-year OS rate of the transplantation patients reached 73.8%, while the 9-month OS rate of patients without transplantation was 11.4% (p<0.001). Conclusion This study suggest that hyperleukocytosis is an independent risk factor for AML patients, regardless of the risk stratification based on cytogenetic or molecular abnormalities. Age is the main factor influencing the prognosis of hyperleukocytic AML. The use of a standard IA regimen and HSCT can significantly improve the patient’s prognosis.
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Affiliation(s)
- Shanglong Feng
- Department of Hematology, Anhui Provincial Hospital, Anhui Medical University, Hefei, People's Republic of China
| | - Li Zhou
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xinhui Zhang
- Department of Hematology, Anhui Provincial Hospital, Anhui Medical University, Hefei, People's Republic of China
| | - Baolin Tang
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xiaoyu Zhu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Huilan Liu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Zimin Sun
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Changcheng Zheng
- Department of Hematology, Anhui Provincial Hospital, Anhui Medical University, Hefei, People's Republic of China.,Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
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