Literature DB >> 29692658

Atypical chronic myeloid leukaemia - a rare subtype of myelodysplastic/myeloproliferative neoplasm.

Joanna E Drozd-Sokołowska1, Anna Waszczuk-Gajda1, Krzysztof Mądry1, Jadwiga Dwilewicz-Trojaczek1.   

Abstract

Atypical chronic myeloid leukaemia (aCML) belongs to the group of myelodysplastic/myeloproliferative neoplasms. Changing diagnostic criteria and the rarity of the disease, with incidence approximately 100-times lower than the incidence of BCR-ABL1-positive chronic myeloid leukaemia, result in limited knowledge on aCML. At present the diagnosis is made based on the presence of granulocytic lineage dysplasia and precisely defined quantitative peripheral blood criteria, after exclusion of other molecularly defined myeloid neoplasms. Distinctive cytogenetic and molecular changes for aCML are missing, although recently SETBP1 mutations were described in a significant proportion of patients. The majority of patients are male and elderly. The prognosis of aCML patients is very bad, with median overall survival ranging between 10.8 and 25 months, and acute myeloid leukaemia-free survival amounting to approximately 11 months. No treatment recommendations can be made based upon current evidence, although allogeneic haematopoietic stem cell transplantation seems to be able to induce long-term remission in eligible patients.

Entities:  

Keywords:  CSF3Rmutations; SETBP1mutations; atypical chronic myeloid leukaemia; myelodysplastic/myeloproliferative neoplasms

Year:  2018        PMID: 29692658      PMCID: PMC5909725          DOI: 10.5114/wo.2018.74388

Source DB:  PubMed          Journal:  Contemp Oncol (Pozn)        ISSN: 1428-2526


Present and previous diagnostic criteria. Differential diagnosis

Atypical chronic myeloid leukaemia (aCML) was initially described as a subtype of myeloid neoplasm closely resembling chronic myelogenous leukaemia but lacking the pathognomonic Philadelphia chromosome [1]. The diagnostic criteria evolved with more evidence from cytogenetic and molecular studies, which in fact did not allow a more detailed identification of aCML, but helped to distinguish other defined neoplasms, clinically resembling aCML, from aCML. The classification systems that have been used for decades are presented in Table 1. It is necessary to be aware of them to understand that not all data on aCML available in the literature really cover the group of patients with what we now define as aCML. At present the diagnosis of atypical chronic myeloid leukaemia is made according to the World Health Organisation Criteria from 2008, revised in 2016 [2, 3]. Although the criteria have become more and more precise, the criterion of dysgranulopoiesis remains only descriptive, i.e. dysgranulopoiesis should be “marked”. No detailed quantification has been supported so far.
Table 1

Subsequent classifications used in the diagnosis of aCML

Diagnostic criteria
FAB [10]absence of Ph chromosome, absence of BCR/ABL fusion gen basophils < 2%monocytes ≥ 3% and <10%dysgranulopoiesis (++)immature granulocytes 10–20%blasts > 2%
Onida et al. [11]absence of Ph chromosome on analysis of at least 20 metaphaseshypercellular bone marrow with granulocytic hyperplasia, leftward shift in myeloid maturation bone marrow blasts < 30% absence of significant dysplasia persistent, unexplained peripheral granulocytic leukocytosis (WBC count > 10 × 109/l)peripheral blast cells < 30% monocyte percentage < 10% in the peripheral blood cells and absolute monocyte count < 1 × 109/l in patients with WBC counts < 20 × 109/labsence of substantial bone marrow myelofibrosis
WHO 2001 [30]persistent leukocytosis absence of Ph chromosome and BCR/ABL fusion gene evidence of marked multilineage dysplasia monocytosis < 1 × 109/l basophils < 2% immature circulating precursors > 10% bone marrow blast count < 20%
WHO 2008 [5]persistent leukocytosis (≥ 13 × 109/l)presence of immature circulating myeloid precursors (≥ 10% leukocytes)marked dysgranulopoiesis*absent/minimal monocytosis (≤ 1 × 109/l and < 10% of leukocytes)absence of basophilia (< 2%)absence of BCR-ABL1 or rearrangements of PDGFRA, PDGFRB, or FGFR1
WHO 2016 [2, 3]emphasis on molecular changes (ETNK1, SETBP1)persistent leukocytosis (≥ 13 × 109/l)presence of immature circulating myeloid precursors (≥ 10% leukocytes)dysgranulopoiesisabsence of basophilia (< 2%)absent/minimal monocytosis (< 10% of leukocytes)hypercellular bone marrow with granulocytic proliferation and granulocytic dysplasia, with or without dysplasia in the erythroid and megakaryocytic lineages< 20% blasts in the blood and bone marrowno rearrangements of PDGFRA, PDGFRB, FGFR1 or PCM1-JAK2WHO criteria for BCR-ABL1 positive chronic myeloid leukaemia, primary myelofibrosis, polycythemia vera or essential thrombocytopenia not met

* no detailed quantification supported

Subsequent classifications used in the diagnosis of aCML * no detailed quantification supported Differential diagnosis of atypical chronic myeloid leukaemia encompasses chronic myeloid leukaemia BCR-ABL1 positive and other myeloproliferative neoplasms, e.g. primary myelofibrosis, as well as myeloid/lymphoid neoplasms associated with rearrangements of PDGFRA, PDGFRB, FGFR1, or PCM1-JAK2. aCML needs also to be differentiated from other myelodysplastic/myeloproliferative neoplasms, with the biggest challenge being unclassifiable myelodysplastic/myeloproliferative neoplasm [2, 4].

Epidemiology. Patients’ clinical and laboratory characteristics

Atypical chronic myeloid leukaemia is an infrequent entity with unknown epidemiological indices, although its relative incidence is estimated at one to two cases for every 100 patients with BCR-ABL1-positive chronic myeloid leukaemia [5]. All patients reported so far are adults, with male predominance. The patients presented with organomegaly and usually extensive proliferation of the granulocytic lineage. Both platelet count and haemoglobin concentration were either low, normal, or high, although approximately two thirds of patients were transfusion dependant. Similarly to other myeloproliferative neoplasms and myelodysplastic syndromes, aCML can transform into acute myeloid leukaemia. In the study of Wang et al. 10 (8%) patients had a prior history of cytotoxic exposure, including both chemotherapy and radiation (3.2%), chemotherapy only (0.8%), and radiation only (4%). All patients received treatment because of solid tumours [4]. Detailed patients’ characteristics reported throughout the studies are presented in Table 2.
Table 2

Patients’ characteristics based on published reports. Continuous variables are summarised as median (range), nominal variables as percentage

ParameterWang et al. [4]Breccia et al. [6]Onida et al. [11]Hernandez et al. [8]Kurzrock et al. [9]Patnaik et al. [7]Drozd-Sokołowska et al. [31]
Classification used for diagnosisWHO 2008WHO 2001Described in detail in Table 1 FABDescribed in detail in Table 1 WHO 2008, WHO 2016WHO 2008
Number of cases65557610*82518
Age (years)72 (42–86)62 (46–81)66 (24–88)63.5 (16–84)60 (39–68)70 (49–91)65 (40–81)
Sex – male (%)69%43%55%50%88%84%72%
WBC (× 109/l)40.8 (13.8–227.1)23.7 (14–150)38 (11.1–296)39.5 (18–68)36 (22–300)32 (8.3–192.7)97 (23.8–342)
Blood immature myeloid precursors (%)17 (10–65)13 (10–20)13 (0–52)27.5 (12–72)
Haemoglobin (g/dl)9.4 (5.7–13.6)11 (4–18)10.6 (7.3–16.1)9.9 (5.1–14.2)11.7 (8.9-15)9.1 (6.3–14.9)8.6 (3.9–14.9)
PLT count (× 109/l)87 (7–974)319 (44–2675)160 (8–1105)115 (9–732)270 (50–1046)95 (12–647)66 (34–833)
Blast count – PB2 (0–17)11 (0–12)2 (0–19)
Blast count – BM (%)3 (0–17)2 (0–20)1 (0–29)1.5 (0–10)2 (0–15)3.6 (1–19)
Monocytes (%)2 (3–8)2 (0–10)2.5 (0–8)1.4 (0–7)
Basophils (%)1 (0–2)0 (0–10)0 (0–2)0 (0–1)
Increased LDH activity (U/l)Activity 1389 (210–6960)
Transfusion dependence65%64%67%
Significant bone marrow fibrosis30.8%22% (traces of reticular fibrosis)Exclusion criterion
Presence of dysplasia in:Erythroid lineMegakaryocytic lineGranulocytic line53%49%32% (severe)Exclusion criterion90%89%100%16%20%100%50%22%
Splenomegaly54%50%75%52%61%
Hepatomegaly49%39%

BM – bone marrow; PB – peripheral blood; PLT – platelet; WBC – white blood cells

* the original report covers 11 cases; 1 case is however a transformation of MDS-RA

Patients’ characteristics based on published reports. Continuous variables are summarised as median (range), nominal variables as percentage BM – bone marrow; PB – peripheral blood; PLT – platelet; WBC – white blood cells * the original report covers 11 cases; 1 case is however a transformation of MDS-RA

Cytogenetic and molecular changes in aCML

The frequency of cytogenetic changes differed among studies and ranged between 20 and 87.5% [4, 6–10]. The most frequently encountered abnormality was trisomy 8 (4.5–27%) [4, 6, 7, 9–11] and chromosome 20q deletion [6, 11]. The other reported changes included i17(q), -7/-7q, deletions of 5q, 13q, 17p, 12 q, and 11q, translocation t(6;8)(p23;q22), +21, +14, +19, and finally complex karyotype [4, 7, 8, 11]. A summary of the reported molecular abnormalities frequencies is presented in Table 3. Although somatic CSF3R mutations were initially reported to be pathogenetically associated with aCML, with T618I being the most common [12], this relation was not confirmed by latter studies [4, 13–15]. At present it seems that the mutations of SET-binding protein 1 (SETBP1), which are encountered in 12–33% of aCML patients [7, 15–17], are the most important. SETBP1 localises on chromosome 18q21.1 and codes for protein with a predominantly nuclear localisation that is expressed in haematopoietic stem/progenitor cells and also in committed progenitors, with mainly unknown function. While germline mutations are associated with Schinzel-Giedion syndrome (skeletal malformations, mental retardation, developmental delay), somatic mutations are responsible for leukaemogenesis. They are probably responsible for the development of dysplasia in granulopoietic and megakaryopoietic lineage. According to Meggendorfer et al., mutations of SETBP1 are a later event in disease progression rather than an initial mutation. In their study mutations of SETBP1 were associated with mutations of ASXL1 in 65% of cases [17], similarly as in the study of Piazza et al., where ASXL1 mutations were present more frequently in cases with SETBP1 mutations (36% vs. 19%, respectively) [16]. Additionally, SETBP1 mutations were more often associated with SRSF2 mutations (p = 0.004) while, additionally, SRSF2 mutations also often co-occurred with mutated ASXL1 (p = 0.010) [15]. TET2 mutations were more prevalent in cases with wild-type SETBP1 (28% vs. 14%, respectively) [16]. In the study by Maxson SETBP1 mutations were accompanied by CSF3R mutations in 5% of aCML cases [12].
Table 3

Frequency of molecular changes

Molecular changeFrequency (%)Reference
SRSF212–40[7, 15]
RAS (KRAS/ NRAS)8–35[4, 7, 11, 14]
RUNX112[7]
JAK23–8[4, 7, 15]
CSF3R0–40[4, 7, 15, 29]
U2AF10–20[7, 14]
CALR0–4[4, 7, 15, 32]
MPL0–2[4, 7, 15]
CEBPA11.8[4, 7]
KIT0[4]
FLT37.1[4]
FLT3-TKD4[7]
IDH1/IDH20–4[4, 7]
EZH28–20[7, 14]
ASXL120–66[7, 14, 15]
NPM10[4, 7]
SETBP112–33[7, 14,–17]
CBL0–10[7, 15, 33]
ETNK18–8.8[7, 14]
TET216–41[7, 15]
SF3B18[7]
PTPN114[7]
ZRSR24[7]
IKZF0[7]
Frequency of molecular changes Interestingly, in aCML, SETBP1-mutated patients show-ed a higher haemoglobin concentration compared to SETBP1wt patients (12.0 vs. 9.9 g/dl; p = 0.016) [15]. Mutations of ETNK1 lead to loss of catalytic activity of ethanolamine kinase responsible for biosynthesis of phosphatidylethanolamine necessary for maintenance of cell-membrane architecture and topology of transmembrane proteins, synthesis of diacylglycerols, fatty acids and phosphatidic acid, cytokinesis, and many other processes [18]. The mutations are encountered in approximately 8% of aCML and 2.6–14% of chronic myelomonocytic leukaemia patients [7, 14, 18]. They can also be found in cases of systemic mastocystosis with eosinophilia [18], but they are not present in other tumours [14].

Prognostic factors. Prognostic score

The first score, proposed by Onida et al. [11], enabled stratification of patients into two risk groups, i.e. a low-risk group (0-1 points) and a high-risk group (2-3 points). Three simple parameters were taken into consideration while counting the score: 1) age over 65 years, 2) anaemia with haemoglobin concentration below 10 g/dl, and 3) severe leukocytosis with white blood cell count over 50 × 109/l, which were each assigned one point. Additionally, absolute monocytosis (monocytes >1.0 × 109/l), the presence of > 10% peripheral blood immature myeloid cells (including blasts), and LDH > 2000 U/ml adversely affected survival. In the study by Wang et al. both a higher white blood cell count, either as a continuous variable or a cutoff of 50 × 109/l, and a higher percentage of peripheral blood myeloid precursors as a continuous variable were adverse prognostic factors for overall survival (OS) and acute myeloid leukaemia-free survival (AMLFS) in univariate analysis [4]. In this analysis, also a higher number of bone marrow blasts was a significant hazard for AMLFS but not for OS [4]. Increased activity of lactate dehydrogenase or platelet count, cytogenetic categories, and peripheral blood blasts were not significant for survival. The authors did not perform multivariate Cox regression analysis because too few factors were significant in the univariate analysis. Breccia et al. identified older age (> 65 years, HR = 0.869, 95% CI: 0.698–1.260, p = 0.04), female sex (HR = 0.715, 95% CI: 1.063–1.991, p = 0.0001), leukocyte count > 50 × 109/l (HR = 0.737, 95% CI: 1.073–2.014, p = 0.001), and the presence of immature circulating precursors (HR = 0.634, 95% CI: 1.069–1.986, p = 0.05) as prognostic factors of survival in multivariate analysis. In their study neither haemoglobin concentration nor dyserythropoiesis influenced survival. Factors predictive for acute myeloid leukaemia (AML) transformation were: palpable hepato- or splenomegaly (HR = 0.6, 95% CI: 1.158–1.992, p = 0.03), monocytosis (> 3 and <8% with monocytes < 1 G/L, HR = 0.87, 95% CI: 1.18–2.081, p = 0.03), increased bone marrow blasts > 5% (HR = 0.631, 95% CI: 1.145–1.97, p = 0.007), marked dyserythropoiesis (HR = 0.45, 95% CI: 1.419–1.796, p = 0.004), and transfusion dependency (HR = 0.65, 95% CI 0.085–0.638, p = 0.01) [6]. Patients with normal platelet count and haemoglobin concentration higher than 10 g/dl had superior survival in the analysis by Hernandez et al. [8] In the most recent study by Patnaik et al. [7] advanced age (p = 0.02), low haemoglobin concentration (p = 0.01), red blood cell transfusion dependency (p = 0.03), high white blood cell count (p = 0.02), mutations of TET2 (p = 0.03), NRAS (p = 0.04) and PTPN11 (p = 0.02), as well as the presence of at least three gene mutations (p = 0.006) were adversely associated with overall survival in univariate analysis; ASXL1, SETBP1, and ETNK1 mutations did not impact OS. In multivariate analysis, advanced age (> 67 years; HR = 10.1, 95% CI: 1.3–119, p = 0.003), low haemoglobin concentration (< 10 g/dl, HR = 8.2, 95% CI: 1.6–23.2, p = 0.008), and TET2 mutations (HR = 8.8, 95% CI: 1.6–47.7, p = 0.01) retained prognostic significance. Based on the parameters significant in multivariate analysis, i.e. age > 67 years, haemoglobin < 10 gm/dl, and the presence of TET2 mutations (each counted as one risk factor), the authors proposed a hazard ratio-weighted prognostic model allowing effective stratification of patients into two risk categories, low (0–1 risk factor) and high (≥ 2 risk factors), with a median OS of 18 and seven months, respectively. To conclude, despite two prognostic scores having been proposed for the stratification of aCML patients, none seems to be useful in everyday practice. The Onida score was calculated for patients diagnosed with aCML using unique diagnostic criteria (Table 1), not fully compatible with current criteria, while the score proposed by Patnaik et al. requires molecular studies that are not always available in everyday practice.

Prognosis

The prognosis of patients diagnosed with aCML is very poor. Overall survival ranges between 10.8 months and 25 months [4, 6, 8] or even 29 months for smaller series [9], while AML-free survival amounts to 11.2 months [4]. Twenty-four out of 65 patients (37%) in the study of Wang et al. [4], 20 out of 55 (40%) in the study by Breccia et al. [6], one among eight in the study of Kurzrock et al. [9], and two (8%) in the study of Patnaik et al. [7] transformed into AML. In the study by Onida et al. blastic transformation preceded death in eight out of 26 patients (31%), with a median time from referral to blast crisis of 11.5 months (range, 1–34 months) [11]. It is, however, worth noting that in none of these studies was cumulative incidence of AML-transformation rate calculated with use of competing risk analysis. Additionally, in the study by Onida et al., transformation to AML was considered only for increase of blast cells count to more than 30%, and not to 20% [11].

Treatment

No guidelines exist on the treatment of aCML patients. Published results, due to small patient groups, are inconclusive in respect to best treatment choice. Onida et al. were unable to show any advantage from the treatment; however, there are major concerns about the diagnostic criteria used for this study, and these results should be interpreted with caution [11]. So far, different therapeutic modalities were used, including hydroxyurea [4, 6–9, 11], busulfan [11], hypomethylating agents [4, 7, 11, 19], histone deacetylase inhibitors [4], low-intensity chemotherapy, including low-dose cytarabine [4, 6], induction chemotherapy [4, 8], combination chemotherapy [11], tyrosine kinase inhibitors [4], JAK2 tyrosine kinase inhibitors (i.e. ruxolitinib) [4, 20, 21], or RAS [4], FLT3 [4], MAPK [4], MYC [4], or AKT inhibitors [4]; immunomodulatory agents i.e. thalidomide [4, 7], lenalidomide [4, 7], or interferon [4, 6, 7, 9, 11]; and supportive care only [4, 7, 11]. Reports on allogeneic haematopoietic stem cell transplantation (alloHSCT) are scarce, frequently coming from either case reports or small case series [8, 22–26]. Recently a study from the Chronic Malignancies Working Party of the European Society for Blood and Marrow Transplantation on the results of alloHSCT in aCML was published, covering 42 patients, being the largest group reported so far [27]. In alloHSCT the majority of patients were in first chronic phase (69%); EBMT risk-score by Gratwohl [28] was as follows: low-risk (score = 0–2) in 45%, intermediate-risk (score = 3) in 31%, and high-risk (score = 4–7) in 24% of patients. AlloHCT was performed from matched unrelated donor in 15 cases (36%), and from HLA-identical siblings in 27 cases (64%). Twenty-four per cent of patients received reduced intensity conditioning (RIC) (median age 58 years), while 76% of patients received myeloablative conditioning (MAC) (median age 46 years). Total body irradiation was incorporated in 56% of MAC. Following alloHSCT two patients (5%) suffered from primary graft failure and two patients (6.5%) were non-responders, while overall response rate amounted to 93.5% – 26 (87%) complete remissions and two (6.5%) partial remissions. Five-year overall survival was assessed at 51%, relapse-free survival at 36%, non-relapse mortality at 24%, and relapse incidence at 40%. Acute graft-versus-host disease (aGvHD) grade II–IV occurred in 12 patients, while chronic graft-versus-host disease was seen in 21 patients, with nine patients developing extensive form. The factors predictive for overall survival were age and Gratwohl score, while solely the donor type was significantly associated with relapse incidence and relapse-free survival, favouring patients transplanted from an unrelated donor. The type of conditioning did not impact either overall survival or relapse-free survival, as well as relapse incidence or non-relapse mortality. There are no indications concerning the timing of alloHSCT in the available literature. Taking into consideration the bad prognosis of aCML patients, it seems reasonable to qualify patients for this procedure early. Assuming that at least some patients with aCML may harbour mutated CSF3R, known to signal downstream through both Janus kinase (JAK) and SRC tyrosine kinase pathways [29], it is amenable that these patients may respond to JAK2 or SRC kinase inhibitors, e.g. ruxolitinib and dasatinib. CSF3R mutations are classified into two classes: nonsense or frame-shift mutations leading to premature truncation of the cytoplasmic tail of the receptor (truncation mutations) and point mutations in the extracellular domain of CSF3R (membrane proximal mutations). Depending on the type of mutation, different downstream signalling pathways are involved (CSF3R truncation mutations – SRC-TNK2; CSF3R membrane proximal mutations – JAK-STAT). In conclusions, aCML is a very rare disease, with changing diagnostic criteria throughout the last decades, with some of the exclusion criteria used for older studies being inclusion criteria for the newer ones. Therefore, the information obtained from older epidemiological studies should be interpreted with caution. Although aCML is frequently associated with SETBP1 mutations, driver mutations for this entity remain unknown. The prognosis of aCML patients is still very poor. No treatment guidelines exist, and there is urgent need for the development of new effective therapeutic strategies. At present only allogeneic haematopoietic stem cell transplantation can induce long-term remission.
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1.  Atypical chronic myeloid leukemia with concomitant CSF3R T618I and SETBP1 mutations unresponsive to the JAK inhibitor ruxolitinib.

Authors:  Emanuele Ammatuna; Matthias Eefting; Kirsten van Lom; François G Kavelaars; François F Kavelaars; Peter J M Valk; Ivo P Touw
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2.  The CSF3R T618I mutation as a disease-specific marker of atypical CML post allo-SCT.

Authors:  S E Langabeer; S L McCarron; K Haslam; M T O'Donovan; E Conneally
Journal:  Bone Marrow Transplant       Date:  2014-03-10       Impact factor: 5.483

3.  Specific molecular mutation patterns delineate chronic neutrophilic leukemia, atypical chronic myeloid leukemia, and chronic myelomonocytic leukemia.

Authors:  Manja Meggendorfer; Torsten Haferlach; Tamara Alpermann; Sabine Jeromin; Claudia Haferlach; Wolfgang Kern; Susanne Schnittger
Journal:  Haematologica       Date:  2014-09-19       Impact factor: 9.941

4.  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

5.  BCR rearrangement-negative chronic myelogenous leukemia revisited.

Authors:  R Kurzrock; C E Bueso-Ramos; H Kantarjian; E Freireich; S L Tucker; M Siciliano; S Pilat; M Talpaz
Journal:  J Clin Oncol       Date:  2001-06-01       Impact factor: 44.544

6.  Risk assessment for patients with chronic myeloid leukaemia before allogeneic blood or marrow transplantation. Chronic Leukemia Working Party of the European Group for Blood and Marrow Transplantation.

Authors:  A Gratwohl; J Hermans; J M Goldman; W Arcese; E Carreras; A Devergie; F Frassoni; G Gahrton; H J Kolb; D Niederwieser; T Ruutu; J P Vernant; T de Witte; J Apperley
Journal:  Lancet       Date:  1998-10-03       Impact factor: 79.321

7.  Frequent CBL mutations associated with 11q acquired uniparental disomy in myeloproliferative neoplasms.

Authors:  Francis H Grand; Claire E Hidalgo-Curtis; Thomas Ernst; Katerina Zoi; Christine Zoi; Carolann McGuire; Sebastian Kreil; Amy Jones; Joannah Score; Georgia Metzgeroth; David Oscier; Andrew Hall; Christian Brandts; Hubert Serve; Andreas Reiter; Andrew J Chase; Nicholas C P Cross
Journal:  Blood       Date:  2009-04-22       Impact factor: 22.113

Review 8.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

9.  Atypical chronic myeloid leukemia is clinically distinct from unclassifiable myelodysplastic/myeloproliferative neoplasms.

Authors:  Sa A Wang; Robert P Hasserjian; Patricia S Fox; Heesun J Rogers; Julia T Geyer; Devon Chabot-Richards; Elizabeth Weinzierl; Joseph Hatem; Jesse Jaso; Rashmi Kanagal-Shamanna; Francesco C Stingo; Keyur P Patel; Meenakshi Mehrotra; Carlos Bueso-Ramos; Ken H Young; Courtney D Dinardo; Srdan Verstovsek; Ramon V Tiu; Adam Bagg; Eric D Hsi; Daniel A Arber; Kathryn Foucar; Raja Luthra; Attilio Orazi
Journal:  Blood       Date:  2014-03-13       Impact factor: 22.113

10.  Novel recurrent mutations in ethanolamine kinase 1 (ETNK1) gene in systemic mastocytosis with eosinophilia and chronic myelomonocytic leukemia.

Authors:  T L Lasho; C M Finke; D Zblewski; M Patnaik; R P Ketterling; D Chen; C A Hanson; A Tefferi; A Pardanani
Journal:  Blood Cancer J       Date:  2015-01-23       Impact factor: 11.037

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