"Proliferative" Versus "Dysplastic" Chronic Myelomonocytic Leukemia: Molecular and Prognostic Correlates

Abstract Background : The 2016 revision to the World Health Organization (WHO) classification of myeloid neoplasms has recommended distinction between "proliferative" (WBC ≥ 13 x 10(9)/L) and "dysplastic" (WBC < 13 X 10(9)/L) subtypes of chronic myelomonocytic leukemia (CMML). In the current study of 261 molecularly-annotated cases, we sought to clarify the prognostic relevance of distinguishing proliferative from dysplastic CMML and also describe differences in the distribution of disease-associated mutations. Methods : 261 patients with WHO-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for the following genes; TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, KRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP. The 2016 WHO criteria were used to sub-classify CMML into proliferative and dysplastic subtypes. Results :Among the 261 study patients, 65% were males and median age was 70 years. 154 (59%), 64 (25%) and 43 (16%) patients were classified as CMML-0, 1 and 2, respectively. At a median follow-up of 23 months, 174 (67%) deaths and 37 (14%) leukemic transformations were documented. Mutational frequencies were; TET2 45%, ASXL1 45%, SRSF2 40%, NRAS 14%, SETBP1 13%, CBL 10%, JAK2 7%, RUNX1 6%, U2AF1 6%, DNMT3A 6%, SF3B1 5%, ZRSR2 4%, Tp53 4%, IDH2 4%, KRAS 3%, PTPN11 2%, SH2B3 1%, CSF3R 1%, IDH1 1%, EZH2 1%, SUZ12 1%, KIT 1%, FLT3 1%, and CALR 1%. Risk stratification was based on the Mayo Molecular Model: 31% high, 30% intermediate-1, 28% intermediate-2 and 11 % low risk. i) Dysplastic versus proliferative CMML: phenotypic and molecular differences 139 (53%) patients had proliferative and 122 (47%) dysplastic subtypes. There was no difference between the CMML subtypes in terms of age and gender distribution, hemoglobin level, platelet count or BM blast content. Patients with proliferative CMML had higher absolute monocyte counts (AMC) (p<0.0001), circulating immature myeloid cells (IMC, p<0.001), circulating blasts (p<0.001) and serum LDH levels (p=0.01). The following gene mutations were more common in proliferative vs dysplastic CMML: ASXL1 (54% vs 37%, p=0.009), JAK2 (11% vs 3%, p=0.01) and CBL (11% vs 8%, p=0.047); SF3B1 mutations were more common in dysplastic CMML (8% vs 1%, p=0.02). There was no difference in the incidence of TET2, DNMT3A and SRSF2 mutations whereas there was a trend towards a higher prevalence of NRAS (p=0.06) and CSF3R (p=0.06) mutations in proliferative CMML. Cytogenetic abnormalities (p=0.03), including higher risk categories by the Spanish (p=0.03) and the Mayo-French (p=0.01) systems were more common in proliferative CMML. ii) Impact on overall and leukemia-free survival: Median survival for the entire cohort (n=261) was 24 months. In univariate analysis, survival was shorter in patients with proliferative (median 20 months) versus dysplastic (median 29 months) CMML (p=0.008; HR1.5, 95% CI 1.1-2.1; Figure 1A). Other variables of significance, in univariate analysis, included hemoglobin (p=0.001), leukocyte count (p=0.001), AMC (p=0.003), PB blast % (p=0.003), IMC (p=0.01), BM blast % (p=0.045), abnormal karyotype (p=0.02), ASXL1 (p=0.01) and DNMT3A (p=0.0003) mutations. In multivariable analysis, the difference in survival between proliferative and dysplastic subtypes remained significant with the addition of hemoglobin level (p=0.01), PB blast % (p=0.02), IMC (p=0.04), BM blast % (p=0.01) or DNMT3A mutations (p=0.01). This was, however, not the case with addition of leukocyte count (p=0.32), AMC (p=0.18) or ASXL1 mutational status (p=0.14); whereas the adverse impact on survival from the latter three parameters remained significant. The prognostic impact of ASXL1 mutations was most apparent in dysplastic CMML (Figure 1B). There was no difference in leukemic transformation rates (p=0.4). Conclusions: In the context of current prognostic models, sub-classification of CMML into proliferative and dysplastic subtypes might not provide additional prognostic value. The apparent difference in survival between the two subtypes of CMML is probably accounted for by the higher prevalence of leukocytosis/monocytosis and of ASXL1 mutations in proliferative CMML. Disclosures No relevant conflicts of interest to declare.

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DNTM3A Mutations and Prognosis in Chronic Myelomonocytic Leukemia

Blood ◽

10.1182/blood.v128.22.1988.1988 ◽

2016 ◽

Vol 128 (22) ◽

pp. 1988-1988

Author(s):

Mrinal M Patnaik ◽

Terra L. Lasho ◽

Christy Finke ◽

Matthew T Howard ◽

Curtis A. Hanson ◽

...

Keyword(s):

Conflicts Of Interest ◽

Univariate Analysis ◽

Multivariable Analysis ◽

Gene Mutations ◽

Chronic Myelomonocytic Leukemia ◽

World Health ◽

Prognostic Impact ◽

Wild Type ◽

The Impact ◽

Myelomonocytic Leukemia

Abstract Background : DNMT3A mutations result in epigenetic dysregulation and impart a negative prognostic impact in acute myeloid leukemia and myelodysplastic syndromes. In chronic myelomonocytic leukemia (CMML), DNMT3A mutations are seen in 2-5% of patients. In a large Groupe Français des Myélodysplasies (GFM) study (n=312), DNMT3A mutations were seen in 2% and were not included in further survival analyses (Itzykson JCO 2013). In a prior Mayo Clinic study (n=175), DNMT3A mutations were seen in 5% (n=9) and on univariate, but not multivariate analysis (Patnaik Blood C J 2016), were associated with shortened over-all survival (OS). We carried out this study on a larger CMML cohort (n=261), with more (n=15) informative cases to assess the impact of DNMT3A mutations. Methods : 261 patients with World Health Organization (WHO)-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for the following genes; TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, KRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1. The 2016 WHO diagnostic criteria were used. Results: Among the 261 study patients, 65% were males and median age was 70 years (range, 28-91). 154 (59%), 64 (25%) and 43 (16%) patients were classified as CMML-0, 1 and 2, respectively. At a median follow-up of 23 months, 174 (67%) deaths and 37 (14%) leukemic transformations (LT) were documented. Mutational frequencies ≥4% were encountered in; TET2 45%, ASXL1 45%, SRSF2 40%, NRAS 14%, SETBP1 13%, CBL 10%, JAK2 7%, RUNX1 6%, DNMT3A 6%, U2AF1 6%, SF3B1 5%, ZRSR2 4%, Tp53 4%, and IDH2 4%. i) DNTM3A mutated CMML: phenotypic and molecular correlates DNMT3A mutations were seen in 15 (6%) patients; 64% male with a median age of 64 years. DNMT3A amino acid substitutions included; R882H 50%, R882C 29%, R910P 7%, R598* 7% and R320* 7%. The median variant allele frequency burden was 45%. Concurrent gene mutations were detected in; TET2 43%, ASXL1 21%, SF3B1 21%, U2AF1 14%, RUNX1 14%, SETBP1 14%, NRAS 14%, SRSF2 7%, JAK2 7% and Tp53 7%. There was no difference between DNMT3A mutated and wild-type patients in terms of age and gender distribution, hemoglobin level, leukocyte, monocyte (AMC), and platelet counts, peripheral blood (PB) or BM blast content. Concurrent gene mutations were equally distributed with the exception for a higher prevalence of SF3B1 (p=0.003) and a lower prevalence of SRSF2 (p=0.004) mutations in DNMT3A mutated CMML. Four (29%) patients underwent leukemic transformation. ii) Impact on OS and leukemia-free survival (LFS): Median survival for the entire cohort (n=261) was 24 months. In univariate analysis, survival was shorter in DNMT3A mutated (median 8 months) versus wild-type (median 27 months) patients (p=0.0007; HR 2.9, 95% CI 1.5-5.7; Figure 1A). Other variables of significance, in univariate analysis, included lower hemoglobin (p=0.002), higher leukocyte count (p=0.0009), higher AMC (p=0.0012), PB blast % (p=0.001), circulating immature myeloid cells (IMC, p=0.01), BM blast % (p=0.045), abnormal karyotype (p=0.02), and ASXL1 (p=0.01) mutations. Survival was also adversely affected by the presence of either (n=133) or both (n=3) ASXL1/DNMT3A mutations (0=0.007, Figure 1B). In multivariable analysis (MVA) excluding ASXL1 and DNMT3A mutations, hemoglobin (p=0.03), IMC (p=0.013) and AMC (p=0.02) retained significance. When ASXL1 mutations were added to the MVA, ASXL1 (p=0.01) mutations, AMC (p=0.012) and IMC (p=0.03) retained significance. Similarly, when only DNMT3A mutations were added to the MVA, DNMT3A (p=0.003) mutations, IMC (p=0.01) and AMC (p=0.02) retained significance. When both DNMT3A and ASXL1 mutations were added to the MVA, only DNMT3A (p<0.0001) and ASXL1 (p=0.004) mutations remained significant. DNMT3A mutations predicted shortened OS, independent of the ASXL1 inclusive GFM model (p<0.0001) and Mayo Molecular Model (p=0.002). DNMT3A mutations (p=0.0018), along with low hemoglobin levels (p=0.003) independently predicted for a shorter LFS. Conclusions: DNMT3A mutations are seen in ~5% of patients with CMML and impart a negative prognostic impact on both OS and LFS. This finding warrants inclusion of DNMT3A mutations in molecularly integrated CMML prognostic models. Disclosures No relevant conflicts of interest to declare.

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Spliceosome Mutations Involving SRSF2, SF3B1 and U2AF35 in World Health Organization Defined Chronic Myelomonocytic Leukemia; Prevalence, Clinical Correlates and Prognosis

Blood ◽

10.1182/blood.v120.21.1711.1711 ◽

2012 ◽

Vol 120 (21) ◽

pp. 1711-1711

Author(s):

Mrinal M. Patnaik ◽

Terra L Lasho ◽

Christy Finke ◽

Curtis A Hanson ◽

Janice M Hodnefield ◽

...

Keyword(s):

High Risk ◽

Chronic Myelomonocytic Leukemia ◽

Low Risk ◽

World Health ◽

Prognostic Impact ◽

Intermediate Risk ◽

Free Survival ◽

Clinical Correlates ◽

Significant Difference ◽

Myelomonocytic Leukemia

Abstract Abstract 1711 Background: Mutations in genes of the splicing machinery, such as SF3B1, SRSF2 and U2AF35 are common in patients with myelodysplastic syndromes [MDS] (Nature 2011;478:64) and chronic myelomonocytic leukemia [CMML] (Haematologica 2012;Epub). In MDS, SRSF2 gene mutations are an independent risk factor for shortened over-all (OS) and leukemia-free survival (LFS) (Blood 2012;119:3578). In MDS with ring sideroblasts (RS), SF3B1 mutations have a high prevalence (∼50%), but do not influence either, the OS or the LFS (Blood 2012;119:569). We carried out this study to evaluate the prevalence, clinical correlates and prognosis of the aforementioned spliceosome mutations in CMML. Methods: The study included 227 patients with WHO defined CMML who were seen at the Mayo Clinic from 1997 through 2007. All patients underwent bone marrow (BM) examination and cytogenetic evaluation at diagnosis. DNA was interrogated in the three most frequent spliceosome genes with somatic mutations; SRSF2, SF3B1 and U2AF35. Results I: Prevalence and clinical correlates Among the 227 study patients, 153 (67%) were male, median age was 71 years (range, 17–90 years) and 192 (85%) met the WHO criteria for CMML-1. Ninety (40%) patients had SRSF2 mutations (86% CMML-1), 13 (6%) had SF3B1 mutations (75% CMML-1) and 20 (9%) had U2AF35 mutations (95% CMML-1). One-hundred and twenty three (54%) patients had at least one of three spliceosome mutations (86% CMML-1). Mutational hot spots were P95 for SRSF2 (P95L-n=36/H-n=32/R-n=13/A-n=1), K700E (n=7) and H662Q (n=2) for SF3B1, and Q157 (Q157R-n=5/P-n=5/G-n=1) and S34F (n=7) for U2AF35. Seven patients (54%) with SF3B1 mutations had ≥1% RS, with 5 (38%) showing ≥15% RS. Mutations involving all three spliceosome genes were mutually exclusive. The cytogenetic distribution based on the Spanish risk stratification system (Haematologica 2011;96:375) was; SRSF2 mutations: 69 (77%) low risk, 11 (12%) intermediate risk, and 10 (11%) high risk (+8-n=3, del/monosomy 7-n=2, monosomal karyotype-n=5); SF3B1 mutations: 8 (62%) low risk and 5 (38%) intermediate risk; U2AF35 mutations: 15 (75%) low risk, 3 (15%) intermediate risk and 2 (10%) high risk (p=0.89). The distribution of mutations according to the MD Anderson prognostic scoring system [MDAPS] (Blood 2002;99:840) was; SRSF2 - low-n=41, intermediate-1-n=26, intermediate-2-n=18, high-n=5, SF3B1- low-n=7, intermediate-1-n=3, intermediate-2-n=2, high-n=1, and U2AF35- low-n=11, intermediate-1-n=5, intermediate-2-n=3, high-n=1 (p=0.73). There was no statistically significant difference, among the three mutation groups, in prognostically relevant parameters, including gender distribution, median age, hemoglobin values, platelet counts, peripheral blood (PB) and BM blast counts, absolute neutrophil counts (ANC) and absolute monocyte counts (AMC). The only notable difference was that patients with the SF3B1 mutation had a lower median white blood cell count (p=0.04) and a lower absolute lymphocyte count (p=0.045). Results II: Prognostic impact of spliceosome mutations At a median follow-up of 15 months, 166 (73%) deaths and 33 (14.5%) leukemic transformations were documented. Median survivals for patients with mutations involving SRSF2, SF3B1 and U2AF35 were 24, 17 and 12 months, respectively. In univariate analysis, the presence of SRSF2 (p=0.67), SF3B1 (p=0.96) or U2AF35 (p=0.49) mutations had no prognostic impact on OS. Similarly, none of the three spliceosome mutations affected LFS; corresponding p values were 0.55 for SRSF2, 0.9 for SF3B1 and 0.38 for U2AF35 mutations respectively. We then examined possible prognostic value of having none of these mutations (n=104) vs otherwise (n=123) and the results were once again negative (p=0.87). Conclusions: SRSF2 is the most frequently mutated spliceosome gene in CMML, but neither it nor SF3B1 or U2AF35 mutations affect overall or leukemia-free survival in CMML. Furthermore, the current study suggests limited genotype-phenotype association, save for the already established association between SF3B1 mutations and RS. Disclosures: No relevant conflicts of interest to declare.

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ASXL1 and SETBP1 Mutations and Their Prognostic Contribution In Chronic Myelomonocytic Leukemia: An International Study Of 431 Patients

Blood ◽

10.1182/blood.v122.21.1510.1510 ◽

2013 ◽

Vol 122 (21) ◽

pp. 1510-1510

Author(s):

Mrinal M Patnaik ◽

Raphael Itzykson ◽

Terra L Lasho ◽

Olivier Kosmider ◽

Christy Finke ◽

...

Keyword(s):

Platelet Count ◽

Risk Stratification ◽

Prognostic Model ◽

Univariate Analysis ◽

Multivariable Analysis ◽

International Study ◽

Chronic Myelomonocytic Leukemia ◽

Prognostic Impact ◽

Missense Mutations ◽

Myelomonocytic Leukemia

Abstract Background Chronic myelomonocytic leukemia (CMML) is a clonal stem cell disorder with overlapping features between myelodysplastic syndromes and myeloproliferative neoplasms. Numerous models exist for CMML prognostication, with more recent studies suggesting (JCO 201; 31:2428) or refuting (Leukemia 2013; 27:1504) the prognostic contribution of ASXL1 mutations. Furthermore, SETBP1 mutations were recently shown to be associated with shortened overall survival (OS) in CMML (Leukemia 2013; 10:1038). In the current international study, we examine these issues in a larger cohort of 431 patients. Methods 431 patients with WHO-defined CMML were included in the study. 235 (55%) were seen at the Mayo Clinic from 1997 through 2012. The remainders were from the French CMML registry (JCO 201; 31:2428). All patients underwent bone marrow (BM) examination and cytogenetic evaluation at diagnosis. DNA analysis for spliceosome component mutations (SRSF2, SF3B1 and U2AF1), ASXL1 and SETBP1 mutations were carried out on BM specimens obtained at diagnosis. In order to address the aforementioned discrepancy regarding the prognostic impact of ASXL1 mutations, relevant analyses in the Mayo cohort were first performed with and without inclusion of missense ASXL1 mutations. ASXL1 mutations from the French cohort did not include missense mutations. We evaluated the prognostic relevance of ASXL1 and SETBPI mutations, as well as several other clinical and laboratory parameters including those previously identified by the MDAPS (Blood 2002;99:840) the Spanish cytogenetic risk stratification (Haematologica 2011;96:375), and the Mayo prognostic model (Leukemia 2013;27;1504). Results Among the 431 study patients, 286 (66%) were males and median age was 73 years (range, 17-93 years). There were 368 (85%) patients with CMML-1 and the remainder had CMML-2. At a median follow-up of 23 months, 260 (60%) deaths and 70 (16%) leukemic transformations were documented. Median survivals were 38 months for CMML-1 and 24 months for CMML-2 (p=0.11). Mutational frequencies were 44% (173/390) for SRSF2, 6% (23/379) for SF3B1, 7% (27/387) for U2AF1, 38% (164/411) for ASXL1 (excluding missense mutations), and 5% (21/431) for SETBP1. Risk stratification was, based on i) Mayo prognostic model: 172 (40%) high, 151 (35%) intermediate and 94 (25 %) low risk, ii) MDAPS: 15 (3%) high, 73 (17%) intermediate-2, 125 (29%) intermediate-1 and 218 (50%) low risk and iii) Spanish cytogenetic stratification system: 316 (73%) low, 43 (10%) intermediate and 50 (12%) high risk. In the Mayo cohort, univariate analysis revealed that the exclusion of missense mutations changed the prognostic impact of ASXL1 mutations from non-significant (p=0.08) to significant (p=0.001). Accordingly, all subsequent analyses excluded missense ASXL1 mutations. In univariate analysis, lower hemoglobin (p<0.0001), lower platelet count (p=0.0027), higher absolute monocyte count (AMC) (p<0.0001), higher absolute lymphocyte count (ALC) (p=0.0002), circulating immature myeloid cells (IMC) (P<0.0001), cytogenetic risk stratification (p<0.0001) and ASXL1 mutations (p<0.0001) were significant for OS. In multivariable analysis, lower hemoglobin (p=0.0001; RR 2, 99% CI 1.6-2.6), lower platelet count (p=0.002; RR 1.5, 99% CI 1.2-1.9), higher AMC (p=0.0002; RR 2.2, 99% CI 1.6-3.1) and ASXL1mutations (p=0.0009; RR 1.9, 99% CI 1.5-2.4) retained their independent negative prognostic impact. Similarly, in univariate analysis, leukemia-free survival (LFS) was negatively affected by age (p=0.0015), lower hemoglobin (p=0.0002), lower platelet count (p=0.0002), higher AMC (p<0.0001), higher ALC (p=0.0001), circulating IMC (p<0.0001), BM blasts (p<0.0001), and cytogenetic risk stratification (p=.0002). ASXL1 (p=0.17) and SETBP1(p=0.87) mutations were not found to be significant. In multivariable analysis, lower platelet count (p=0.0005), higher AMC (P=0.0042), circulating IMC (P=0.008) and cytogenetic risk stratification (p=0.009) retained their independent negative prognostic impact. Conclusions In the current international study of a large cohort of patients with CMML, we confirm and clarify the independent prognostic relevance of ASXL1 mutations. The relatively high frequency of ASXL1 mutations in CMML warrants its inclusion in contemporary prognostic models. Disclosures: No relevant conflicts of interest to declare.

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Prognostic Impact of Who 2016 Classification of Chronic Myelomonocytic Leukemia

Leukemia Research ◽

10.1016/s0145-2126(17)30187-x ◽

2017 ◽

Vol 55 ◽

pp. S48-S49

Author(s):

K. Javier ◽

M.T. Orero ◽

S. Costa ◽

S. Ortiz ◽

C. Villegas ◽

...

Keyword(s):

Chronic Myelomonocytic Leukemia ◽

Prognostic Impact ◽

Myelomonocytic Leukemia

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Clinical Correlates, Prognostic Impact and Survival Outcomes in Chronic Myelomonocytic Leukemia Patients with Myeloproliferative Neoplasm Associated-Driver Mutations

Blood ◽

10.1182/blood-2018-99-117335 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3100-3100

Author(s):

Prateek Pophali ◽

Terra L. Lasho ◽

Christy Finke ◽

Pedro Horna ◽

Rhett P. Ketterling ◽

...

Keyword(s):

Chronic Myelomonocytic Leukemia ◽

World Health ◽

Driver Mutations ◽

White Blood Count ◽

Survival Outcomes ◽

Prognostic Impact ◽

Monocyte Count ◽

Thrombotic Risk ◽

Clinical Correlates ◽

Myelomonocytic Leukemia

Abstract Background : Chronic myelomonocytic leukemia (CMML), a myeloid neoplasm with overlapping features of myelodysplastic syndromes and myeloproliferative neoplasms (MPN), is characterized by peripheral blood (PB) monocytosis and a risk for leukemic transformation (LT). Gene mutations commonly seen in CMML include, TET2 (~60%), SRSF2 (~50%) and ASXL1 (~40%). MPN associated-driver mutations such as JAK2V617F (~10%), MPL (<1%) and CALR (<1%) are uncommon, and in fact, the 2016 World Health Organization (WHO) guidelines state that the presence of these mutations tends to support a diagnosis of MPN with monocytosis. We carried out this study to assess the i) clinical correlates and ii) survival outcomes of MPN associated-driver mutations in CMML. Methods : 323 molecularly annotated patients with WHO-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for 30 myeloid relevant genes, by previously described methods. Results: Among the 323 study patients, 67% were males and median age was 71 years (range, 18-95). Twenty five (8%) patients had CMML with MPN associated-driver mutations; 24 (96%) with JAK2V617F and 1(4%) with a MPLW515L mutation. There were no patients with CALR or JAK2 exon 12 mutations. Additional signal-pathway mutations included NRAS (15%), KRAS (4%), CBL (14%), PTPN11 (3%), CSF3R (1%), and SH2B3 (<1%). i) Phenotypic correlates: The median age of CMML patients with MPN-associated driver mutations was 71 years and 66% were male. The WHO morphological subtypes included CMML-0 60%, CMML-1 24% and CMML-2 16%; while 91% of patients had a normal karyotype. The distribution of mutations included TET2 75%, SRSF2 54%, ASXL1 48%, RUNX1 20%, NRAS and EZH2 12% each, SETBP1 8%, SF3B1, U2AF1, CBL, PTPN11, FLT3-TKD, & Tp53 4% each, respectively. Risk stratification by the Mayo Molecular Model included high 16%, intermediate-2 32%, intermediate-1 36% and low risk 16%, respectively. In comparison to CMML patients without MPN associated-driver mutations, those with, had a higher hemoglobin (HB, p=0.001) and hematocrit (p=0.001), were more likely to have leukocytosis (p=0.02) and elevated LDH levels (p=0.0002), less likely to have thrombocytopenia (p=0.003), more likely to have a "proliferative" CMML phenotype (p=0.01) with palpable splenomegaly (p=0.0007), and more likely to have mutations involving TET2 (p=0.02). Six (2%) thrombotic events were documented in the cohort; 2 (8%) in patients with MPN-driver mutations and 4 (1%) in those without (p=0.07). There were no differences between the two groups with regards to the degree of monocytosis, PB and BM blasts, BM cellularity, BM megakaryocytic atypia, and BM fibrosis. ii) Survival outcomes: At last follow up 219 (68%) deaths and 55 (17%) LT were documented, of which 14 (56%) deaths and 2 (8%) LT occurred in the MPN-driver mutation group. The median OS for the entire cohort was 28 months (22-32); 31 months for CMML patients with MPN associated-driver mutations and 24 months for those without (p=0.4). On a univariate analysis, survival was adversely impacted by low HB (p<0.0001), high white blood count (p=0.0009) and absolute monocyte count (p=0.0004), circulating immature myeloid cells (p=0.02) and blasts (p=0.005), BM blasts (p=0.02), palpable splenomegaly (p=0.03), abnormal karyotype (p=0.001), presence of DNMT3A (p=0.006), ASXL1 (p=0.009), EZH2 (p=0.03) and Tp53 (p=0.02) mutations and the absence of TET2 (p=0.0009) mutations. Survival was not affected by the presence of JAK2V617F (p=0.4) or MPL (p=0.46) mutations. On a multivariable analysis that included the aforementioned significant variables, only HB <10 gm/dl (p=0.0016), presence of PB blasts (p=0.01), presence of DNMT3A (p=0.003) and the absence of TET2 mutations (p=0.02) retained significance. The presence of MPN associated-driver mutations did not impact LFS (p=0.36). Conclusions: The occurrence of MPN associated-driver mutations in CMML is infrequent (~8%) and is largely restricted to JAK2V617F. CMML patients with MPN-associated driver mutations have a higher HB/hematocrit, are more likely to have proliferative features and palpable splenomegaly, and are less likely to be thrombocytopenic. There was a trend towards an increased thrombotic risk, with no impact of these mutations on overall and leukemia free survival. Disclosures No relevant conflicts of interest to declare.

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Correlation Of Outcomes Of Allogeneic Stem Cell Transplants For Chronic Myelomonocytic Leukemia With The Mayo Prognostic Model

Blood ◽

10.1182/blood.v122.21.5226.5226 ◽

2013 ◽

Vol 122 (21) ◽

pp. 5226-5226

Author(s):

Michelle T Patzelt ◽

Mark R. Litzow ◽

William Hogan ◽

Shahrukh K Hashmi ◽

Michelle Elliott ◽

...

Keyword(s):

Bone Marrow ◽

Stem Cell ◽

High Risk ◽

Univariate Analysis ◽

Disease Status ◽

Chronic Myelomonocytic Leukemia ◽

Prognostic Impact ◽

Cell Transplant ◽

Comorbidity Index ◽

Myelomonocytic Leukemia

Abstract Abstract 5226 Background Chronic myelomonocytic leukemia (CMML) is a clonal stem cell disorder with overlapping features between myelodysplastic syndromes and myeloproliferative neoplasms. Allogeneic stem-cell transplant (SCT) is considered to be a potentially curative option (Eur J Haematol. 2013; 90:355); with karyotype and comorbidity index (CI) being independent prognostic factors. The role of newer CMML prognostic models remains to be elucidated. We carried out this study to analyze the predictive value of the Mayo model (Leukemia 2013; 27:1504) in assessing transplant outcomes for patients with CMML. Methods After due IRB approval, 25 patients with WHO-defined CMML that underwent allo-SCT at Mayo Clinic from 1992 through 2013 were identified. All patients underwent bone marrow examination and cytogenetic evaluation at diagnosis. Clinical features including status at transplant, graft-versus-host disease (GVHD) prophylaxis, donor-recipient HLA-matching, donor-recipient blood types and CMV status were documented. Patients were evaluated for development of GVHD, disease relapse, remission status, and death from all causes. We evaluated the prognostic relevance of clinical and laboratory parameters including those previously identified by the MDAPS (Blood 2002;99:840), Spanish cytogenetic stratification (Haematologica 2011;96:375), and the recently described Mayo model Results Among 25 study patients, 14 (56%) were males and 15 (60%) had WHO defined CMML-1 (6-symptomatic/transfusion dependent, 3-monosomy 7). The median age at transplant was 51 years (range, 18-66 years). Graft sources included: 19 (76%) peripheral blood, 5 (20%) bone marrow, and 1 (4%) double umbilical cord blood. Ten (40%) patients received a reduced intensity conditioning. At last follow up, 15 (60%) deaths were documented while the remainders are alive and disease free. There were six (25%) post-transplant relapses all resulting in mortality. The 5-year OS was 42% and the 5-year non relapse mortality was 35%. Based on the Mayo model, 15 (60%) patients received a high-risk prognostication, 6 (24%) were intermediate and 3 (12%) were low. In an univariate analysis that included: demographics, blood counts at diagnosis and transplant, WHO classification (p=0.19), Spanish karyotypic stratification (p=0.67), prognostication according to the MDAPS (p=0.35) and Mayo model, disease status at transplant, SCT comorbidity index (p=0.06), graft sources, transplant conditioning regimens (p=0.08), development of acute (p=0.64) and chronic GVHD (p=0.06); thrombocytopenia at diagnosis (p=0.04), disease status at transplant (p=0.02), and a high risk prognostication using the Mayo model (p=0.01) were statistically significant. On a multivariable analysis only high risk prognostication by the Mayo model (p=0.02) retained its negative prognostic impact. In an univariate analysis for relapse-free survival, risk stratification by the Spanish cytogenetic system (p=0.04) and the Mayo model were prognostic (p=0.01), with the high risk prognostication by the Mayo model retaining its negative prognostic impact (p=0.01). Conclusions Allogeneic SCT remains a viable treatment option for patients with CMML. The Mayo model serves as a valuable tool, helping with the identification of high risk CMML patients. These patients seem to benefit from allo-SCT in comparison to non-transplant therapeutic options. Given the smaller sample size, validation in a larger patient cohort is needed. Disclosures: No relevant conflicts of interest to declare.

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Prognostic Interaction Between ASXL1 and TET2 Mutations in Chronic Myelomonocytic Leukemia

Blood ◽

10.1182/blood.v126.23.2864.2864 ◽

2015 ◽

Vol 126 (23) ◽

pp. 2864-2864

Author(s):

Mrinal M Patnaik ◽

Terra L. Lasho ◽

Pooja Vijayvargiya ◽

Christy Finke ◽

Curtis A. Hanson ◽

...

Keyword(s):

Survival Data ◽

Prognostic Model ◽

Conflicts Of Interest ◽

Univariate Analysis ◽

Multivariable Analysis ◽

Chronic Myelomonocytic Leukemia ◽

Signal Pathways ◽

Prognostic Impact ◽

Significant Difference ◽

Myelomonocytic Leukemia

Abstract Background : Gene mutations are common (~90%) in patients with chronic myelomonocytic leukemia (CMML) and involve epigenetic regulators (TET2 ~ 60%, ASXL1 ~40%), spliceosome components (SRSF2 ~40%) and signal pathways (RAS ~30%). Of these, thus far, only ASXL1 mutations have been shown to adversely impact overall survival (OS). In the current study, we used a 27-gene panel assay to identify additional prognostically-relevant mutations in CMML and to also determine if number of mutations carries prognostic relevance. Methods : 175 patients with WHO-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for the following genes; TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1. Paired-end indexed libraries were prepared from individual patient DNA using the NEBNext Ultra Library prep protocol on the Agilent Bravo liquid handler. Capture libraries were assembled according to Nimblegen standard library protocol. Base-calling was performed using Illumina's RTA version 1.17.21.3. Genesifter software was utilized to analyze targeted sequence data. Specific variants were deemed as mutations if they were associated with a hematological malignancy (as identified by COSMIC database), or if they were not associated with a dbSNP Results: Among the 175 study patients, 66% were males and median age was 70 years. 146 (83%) patients were subclassified as CMML-1. At a median follow-up of 23 months, 146 (83%) deaths and 25 (14%) leukemic transformations were documented. Median survivals were 24 months for CMML-1 and 16 months for CMML-2 (p=0.38). Mutational frequencies were; TET2 46%, ASXL1 45%, SRSF2 45%, SETBP1 19%, CBL 14%, RUNX1 14%, NRAS 12%, U2AF1 8%, SF3B1 6%, ZRSR2 6%, Tp53 5%, DNMT3A 5%, IDH2 5%, PTPN11 5%, SH2B3 5%, JAK2 4%, NPM1 3%, CSF3R 2%, IDH1 2%, EZH2 1%, SUZ12 1%, KIT 1%, FLT3 1%, CALR 1%. 172 patients (98%) had at least one mutation, 21 (12%) had 2, 24 (14%) had 3, 20 (11%) had 4, 9 (5%) had 5, while one (1%) patient had 6 concurrent mutations. Risk stratification was based on Mayo prognostic model: 25% high, 32% intermediate and 43 % low risk. In univariate analysis, presence of ASXL1 mutations (p=0.01), absence of TET2 mutations (p=0.005) and presence of DNMT3A mutations (p=0.02) were associated with inferior survival; in multivariable analysis, ASXL1 (p=0.01) and TET2 (p=0.03) mutations remained significant. In order to determine prognostic interaction between these two mutations, patients were stratified into four mutational categories: ASXL1wt/TET2wt (n =56), ASXL1mut/TET2wt (n =31), ASXL1mut/TET2mut (n =50) and ASXL1wt/TET2mut (n =38). Survival data in these four groups showed significant difference in favor of ASXL1wt/TET2mut (median survival 38 months; p=0.016), compared to those with ASXL1wt/TET2wt (19 months), ASXL1mut/TET2wt (31 months)and ASXL1mut/TET2mut (16 months); there was no significant difference in survival among the latter three groups (p=0.3) (Figure). The number of mutations per patient did not affect outcome (p=0.3). In multivariable analysis, presence of ASXL1 mutations (P=0.01) and absence of TET2 mutations (p=0.003) remained significant when risk factors used in the Mayo prognostic model (HB <10 gm/dl, AMC >10 x 10(9)/L, platelets <100 x 10(9)/L, circulating IMC) were added to the model; the same was true for ASXL1wt/TET2mut (p=0.036). In a separate multivariable analysis that included the Mayo prognostic model as a single variable along with presence of ASXL1 and absence of TET2 mutations; or absence of ASXL1wt/TET2mut mutational status, the respective hazard ratios were 1.4 (95% CI 1.07-2.1; p=0.012), 1.5 (95% CI 1.07-2.1; p=0.03) and 1.8 (95% CI 1.2-2.7; p=0.001). Leukemia-free survival was worse in ZRSR2 -mutated cases (p=0.03). Conclusions: Almost 100% of patients with CMML express one or more myeloid neoplasm-relevant mutations. The current study suggests a favorable prognostic impact from TET2 mutations, unless accompanied by ASXL1 mutations. Disclosures No relevant conflicts of interest to declare.

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Phenotypic and Prognostic Correlates of Spliceosome Mutations (SRSF2, SF3B1, U2AF35) in Chronic Myelomonocytic Leukemia with ≥ 1% Ring Sideroblasts.

Blood ◽

10.1182/blood.v120.21.2803.2803 ◽

2012 ◽

Vol 120 (21) ◽

pp. 2803-2803

Author(s):

Mrinal M. Patnaik ◽

Terra L Lasho ◽

Curtis A Hanson ◽

Janice M Hodnefield ◽

Ryan A Knudson ◽

...

Keyword(s):

Conflicts Of Interest ◽

Myeloproliferative Neoplasms ◽

Univariate Analysis ◽

Significant Risk ◽

Chronic Myelomonocytic Leukemia ◽

Prognostic Impact ◽

Hematopoietic Stem ◽

Mutational Hotspots ◽

Ring Sideroblasts ◽

Myelomonocytic Leukemia

Abstract Abstract 2803 Background: Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic stem cell disorder with overlapping features between myelodysplastic syndromes (MDS) and myeloproliferative neoplasms. Ring sideroblasts (RS) represent abnormal mitochondrial iron accumulation in MDS; with ≥15% RS necessary for the conventional diagnosis of MDS-RS. Somatic spliceosome mutations are recurrent in MDS, with SF3B1 mutations being the most frequent in MDS-RS (∼75%) and SRSF2 in CMML (∼28%). The distribution of these mutations in the presence of both RS and monocytosis is unknown and their prognostic relevance, in the particular setting, undetermined. Methods: Using the Mayo Clinic database for myeloid malignancies (1997–2007), we identified patients who met the 2008 WHO criteria for CMML, and who also displayed at least 1% RS in their bone marrow (BM). All patients underwent BM examination and cytogenetic evaluation at diagnosis and the pathology slides, including iron stains, were centrally re-reviewed to accurately quantify BM RS. DNA was interrogated in the three most frequent spliceosome genes with somatic mutations; SF3B1, SRSF2 and U2AF35. Results: Sixty four patients met the above stipulated criteria for CMML with ≥1% RS; 46 (72%) were males and median age was 71 years (range, 17–90 years). Fifty three (83%) had CMML-1 and the remainder CMML-2. The percentage of patients with ≥15% RS was 41%: 30% had 15–49% RS and 11% had >50% RS. Thirty patients (47%) displayed SRSF2 mutations (mutational frequencies were 58% in the presence of <15% RS, 42% with 15–49% RS and 0% with >50% RS), 9 (14%) SF3B1 mutations (3% with <15% RS, 26% with 15–49% RS and 43% with >50% RS), and 5 (8%) U2AF35 mutations (8% with <15% RS, 11% with 15–49% RS and 0% with >50% RS). Mutational hotspots were P95 for SRSF2 (93%), K700 for SF3B1 (67%) and Q157 for U2AF35 (60%). The three spliceosome mutations were mutually exclusive. At a median follow-up of 26 months, 49 (77%) deaths and 11 (17%) leukemic transformations were documented. In univariate analysis, significant risk factors for survival included increased levels of white blood cell (WBC), absolute neutrophil (ANC), absolute monocyte (AMC), absolute lymphocyte (ALC) counts, the Spanish cytogenetics risk stratification system (Haematologica 2011;96:375), and the presence of circulating blasts. Neither the presence of spliceosome mutations (SF3B1/SRSF2/U2AF35) nor the percentage of RS (considered both as a continuous and a categorical variable), had an impact on either overall or leukemia-free survival. Conclusions: Among spliceosome mutations in CMML, those involving SRSF2 are by far the most frequent, even in the presence of ring sideroblasts. However, in patients with >50% RS, only SF3B1 mutations were seen whereas in those with 15–49% RS, SRSF2 mutations were more common. These observations suggest that SF3B1 mutations play a dominant but not exclusive role in the pathogenesis of RS. Regardless, the current study did not suggest prognostic impact from either the presence of the spliceosome mutations studied or the percentage of RS. Disclosures: No relevant conflicts of interest to declare.

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