Literature DB >> 31730680

Characteristics and survival of patients with atypical chronic myeloid leukemia.

Jee Hyun Kong1, Hohyung Nam1, Tae-Hwa Go2, Shin Young Hyun1, Kwang Yong Shim1.   

Abstract

Entities:  

Year:  2019        PMID: 31730680      PMCID: PMC6779938          DOI: 10.5045/br.2019.54.3.233

Source DB:  PubMed          Journal:  Blood Res        ISSN: 2287-979X


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TO THE EDITOR: BCR/ABL-negative or atypical chronic myeloid leukemia (CML; aCML) is a rare hematologic malignancy with an estimated incidence of 1–2% among all BCR/ABL-positive CML cases [12]. Due to its rarity, no prospective study has been conducted to optimize a treatment strategy for BCR/ABL-negative CML; consequently, BCR/ABL-negative CML is managed with palliative therapy. A population-based study on aCML outcome is rare. Thus, aCML characteristics and outcomes were analyzed using the National Health Information Database (NHID) [34]. Patients diagnosed with aCML (International Classification of Diseases, Tenth Revision, C922) between 2004 and 2015 were included. Patients 1) aged <20 years, 2) who received chemotherapy before the aCML diagnosis, and 3) for whom C922 was recorded just once during the follow-up period were excluded. Data on age, sex, insurance premiums imposed on patients proportionate to their income, location of the medical institution, transfusion history, prescription list, and date of death were collected. The cut-off date was December 31, 2017. Overall survival (OS) was calculated using the Kaplan–Meier method. The Cox proportional hazard regression model was utilized to determine OS predictors. Statistical analyses were conducted using the SAS version 9.2 (SAS Institute, Cary, NC, USA). The institutional review board of Wonju Severance Christian Hospital waived the need for informed consent because of the retrospective design of the study. Over 11 years, only 54 patients with aCML were identified (Table 1). The median age at diagnosis was 73 (26–90) years. The age distribution was as follows: ≤65 years, 15 (27.8%) patients, and >65 years, 39 (72.2%) patients. About 65% (N=35) of patients were men. Thirty-five patients (64.8%) were paying high insurance premiums, and 20 (37%) were treated at a medical institution located in Seoul (Capital). Most patients received transfusions (91%), 59% (N=32) needed both red blood cell (RBC) and platelet transfusion, and 31.5% (N=17) received RBC transfusion only. The median 2.6 (0.2–8.5) pack of RBCs were transfused every month. Hydroxyurea was administered to 93% of patients. Seven patients (13%) received decitabine, and 8 (14.8%) received cytarabine. No patients received azacitidine or underwent hematopoietic stem cell transplantation (HSCT). Five patients (9.3%) progressed to acute myeloid leukemia (AML) after a median of 5 (1–30) months after the diagnosis. Characteristics (age, sex, income, institution location, transfusion, and medication) of patients who progressed to AML were not different from those of patients who did not progress to AML (data not shown).
Table 1

Characteristics of atypical chronic myeloid leukemia patients.

Abbreviation: RBC, red blood cell.

Over a median of 10 (1–135) months of follow-up, 47 patients died. The median survival was 10 months with a 95% confidence interval of 6–14 months, and the estimated 1- and 2-year OS rates were 38.9% and 27.8%, respectively. The estimated 1-, 2-, and 3-year OS rates of patients who progressed to AML were 40%, 40%, and 20%, respectively. This was not significantly different from the OS of patients who did not progress to AML, who showed 1-, 2-, and 3-year OS rates of 38.8%, 26.5%, and 22.5%, respectively (P=0.68) (Fig 1A).
Fig. 1

Kaplan–Meier plot of 52 patients with atypical chronic myeloid leukemia. (A) The OS of 5 patients who progressed to AML (dotted line) was not different from that of those who did not progress to AML (solid line, N=49, P=0.6839). (B) Patients aged ≤65 years (dotted line) showed better OS than those aged >65 years (solid line, P=0.0053).

Abbreviations: AML, acute myeloid leukemia; OS, overall survival.

Prognostic factors of OS were analyzed using Cox proportional hazard ratios with the following variables: sex, age, income, and location of the medical institution. Only age was a significant predictor of OS in both univariate and multivariate analyses. Patients aged >65 years were at 2.68-times higher risk of death than those aged ≤65 years (P=0.0088) (Table 2, Fig 1B).
Table 2

Univariate and multivariate analyses of overall survival.

Abbreviations: CI, confidence interval; HR, hazard ratio; NR, not reached.

Although it was unknown whether all patients met the World Health Organization classification criteria, the following data were compatible with those in previous reports: the median age was 73 years [25678910], more men were affected than women [678910], and the median OS was 10 months [891011]. However, some other reports indicated better OS than these rates, showing that the median OS ranged from 2 to 3 years [571012]. Age >65 years, female sex, hemoglobin levels of <10 g/dL, and leukocyte count of >50×109/L have been described as negative predictive factors of OS [57]. As shown in Table 2, the median survival in women was worse than that in men (7 vs. 11 mo). However, this was not significant in both univariate and multivariate analyses in this study. Only old age (>65 yr) was consistently associated with poor OS in this analysis. The natural history of aCML is characterized by increases in leukemic cell burden, organomegaly, anemia, and bone marrow failure with AML transformation in 30–40% of cases [5789]. In this study, few patients progressed to AML (9.3%). Similarly, Patnaik et al. reported a leukemic transformation rate of 8% [10]. Although no long-term survivor was observed in patients who progressed to AML, AML progression did not affect OS. We could not find any predictive factor for AML progression, which may be due to the small number of patients. Because of poor prognosis, allogeneic HSCT is considered as the only curative treatment to improve OS. Koldehoff et al. described favorable outcomes, with a 5-year OS of >80%, in 24 patients who underwent allogeneic HSCT [13]. Conversely, Mittal et al. described worse outcomes because of high transplant-related mortality due to graft-versus-host disease, sepsis, and other causes [14]. In this study, no patients underwent allogeneic HSCT. Patients were mainly treated with hydroxyurea and blood product transfusion. Recent studies have suggested potential therapies to target different genetic alterations, such as ruxolitinib for JAK2 mutations and dasatinib (SRC kinase inhibitor) for CSFR truncation mutations, in which downstream signaling is predominantly operated through SRC kinase [15]. Thus, identification of new targets, development of novel therapies, improvement in transplant techniques, and selection of appropriate candidates for allogeneic HSCT will help in improving aCML outcomes. This study had limitations because blood counts, bone marrow aspiration findings, and cytogenetic or genetic alterations were not available. Therapeutic effects or differences in clinical feature at presentation were unknown. However, a relatively large number of patients with this rare disease could be included using the NHID. Our results may provide background information for clinical trials in the future.
  12 in total

1.  Characteristics and survival of BCR/ABL negative chronic myeloid leukemia: a retrospective analysis of the Surveillance, Epidemiology and End Results database.

Authors:  Smith Giri; Ranjan Pathak; Mike G Martin; Vijaya Raj Bhatt
Journal:  Ther Adv Hematol       Date:  2015-12

2.  Philadelphia-negative (Ph-) chronic myeloid leukemia (CML): comparison with Ph+ CML and chronic myelomonocytic leukemia. The Groupe Français de Cytogénétique Hématologique.

Authors:  P Martiat; J L Michaux; J Rodhain
Journal:  Blood       Date:  1991-07-01       Impact factor: 22.113

3.  Clinical course and molecular features in 21 patients with atypical chronic myeloid leukemia.

Authors:  M Koldehoff; N K Steckel; Y Hegerfeldt; M Ditschkowski; D W Beelen; A H Elmaagacli
Journal:  Int J Lab Hematol       Date:  2011-06-27       Impact factor: 2.877

4.  Targeted next generation sequencing and identification of risk factors in World Health Organization defined atypical chronic myeloid leukemia.

Authors:  Mrinal M Patnaik; Daniela Barraco; Terra L Lasho; Christy M Finke; Kaaren Reichard; Katherine P Hoversten; Rhett P Ketterling; Naseema Gangat; Ayalew Tefferi
Journal:  Am J Hematol       Date:  2017-04-29       Impact factor: 10.047

5.  Identification of risk factors in atypical chronic myeloid leukemia.

Authors:  Massimo Breccia; Francesca Biondo; Roberto Latagliata; Ida Carmosino; Franco Mandelli; Giuliana Alimena
Journal:  Haematologica       Date:  2006-10-17       Impact factor: 9.941

Review 6.  Atypical chronic myeloid leukemia: a rare entity with management challenges.

Authors:  Prajwal Dhakal; Krishna Gundabolu; Catalina Amador; Supratik Rayamajhi; Vijaya Raj Bhatt
Journal:  Future Oncol       Date:  2017-12-11       Impact factor: 3.404

7.  Clinical, hematological and cytogenetic characteristics of atypical chronic myeloid leukemia.

Authors:  J M Hernández; M C del Cañizo; A Cuneo; J L García; N C Gutiérrez; M González; G Castoldi; J F San Miguel
Journal:  Ann Oncol       Date:  2000-04       Impact factor: 32.976

Review 8.  Current and evolving understanding of atypical chronic myeloid leukemia.

Authors:  Lauren C Schwartz; John Mascarenhas
Journal:  Blood Rev       Date:  2018-07-29       Impact factor: 8.250

9.  Characteristics and outcome of patients with Philadelphia chromosome negative, bcr/abl negative chronic myelogenous leukemia.

Authors:  Francesco Onida; Greg Ball; Hagop M Kantarjian; Terry L Smith; Armand Glassman; Maher Albitar; Barbara Scappini; Mary Beth Rios; Michael J Keating; Miloslav Beran
Journal:  Cancer       Date:  2002-10-15       Impact factor: 6.860

10.  Allogeneic transplantation: a therapeutic option for myelofibrosis, chronic myelomonocytic leukemia and Philadelphia-negative/BCR-ABL-negative chronic myelogenous leukemia.

Authors:  P Mittal; R M Saliba; S A Giralt; M Shahjahan; A I Cohen; S Karandish; F Onida; M Beran; R E Champlin; M de Lima
Journal:  Bone Marrow Transplant       Date:  2004-05       Impact factor: 5.483

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