Citations

AbstractDisease overviewChronic neutrophilic leukemia (CNL) is a rare, often aggressive myeloproliferative neoplasm (MPN) defined by persistent mature neutrophilic leukocytosis, bone marrow granulocyte hyperplasia, and frequent hepatosplenomegaly. The seminal discovery of oncogenic driver mutations in colony‐stimulating factor 3 receptor (CSF3R) in the majority of patients with CNL in 2013 anchored a new scientific framework, deepening our understanding of its molecular pathogenesis, providing a diagnostic biomarker, and rationalizing the use of pharmacological targeting.Diagnostic criteriaIn 2016, the World Health Organization (WHO) included the presence of activating CSF3R mutations as a central diagnostic feature of CNL. Other criteria include leukocytosis of ≥25 × 109/L comprising >80% neutrophils with <10% circulating precursors and rare blasts, and absence of dysplasia or monocytosis, while not fulfilling criteria for other MPN.Disease updatesIncreasingly comprehensive genetic profiling of CNL has disclosed a complex genomic landscape and additional prognostically relevant mutational combinations. Though prognostic determination and therapeutic decision‐making remain challenging, emerging data on prognostic markers and the use of newer therapeutic agents, such as JAK inhibitors, are helping to define state‐of‐the‐art management in CNL.

AbstractDisease overviewChronic myelomonocytic leukemia (CMML) is a clonal hematopoietic stem cell disorder with overlapping features of myelodysplastic syndromes and myeloproliferative neoplasms, with an inherent risk for leukemic transformation (~15% over 3‐5 years).DiagnosisDiagnosis is based on the presence of sustained (>3 months) peripheral blood monocytosis (≥1 × 109/L; monocytes ≥10%), along with bone marrow dysplasia. Clonal cytogenetic abnormalities occur in ~ 30% of patients, while >90% have gene mutations. Mutations involving TET2 (~60%), SRSF2 (~50%), ASXL1 (~40%) and the oncogenic RAS pathway (~30%) are frequent; while the presence of ASXL1 and DNMT3A mutations and the absence of TET2 mutations negatively impact over‐all survival.Risk stratificationMolecularly integrated prognostic models include; the Groupe Français des Myélodysplasies (GFM), Mayo Molecular Model (MMM) and the CMML specific prognostic model (CPSS‐Mol). Risk factors incorporated into the MMM include presence of nonsense or frameshift ASXL1 mutations, absolute monocyte count>10 × 109/L, hemoglobin <10 g/dL, platelet count <100 × 109/L and the presence of circulating immature myeloid cells. The MMM stratifies CMML patients into four groups; high (≥3 risk factors), intermediate‐2 (2 risk factors), intermediate‐1 (1 risk factor) and low (no risk factors), with median survivals of 16, 31, 59 and 97 months, respectively.Risk‐adapted therapyHypomethylating agents such as 5‐azacitidine and decitabine are commonly used, with overall response rates of ~40%‐50% and complete remission rates of ~7%‐17%; with no impact on mutational allele burdens. Allogeneic stem cell transplant is the only potentially curative option, but is associated with significant morbidity and mortality.

Abstract Background : Approximately 25% of patients with primary myelofibrosis (PMF) harbor calreticulin (CALR) mutations, which have been associated with longer survival (Klampf et al. NEJM 2013). More than 80% of CALR mutated patients harbor one of two mutation variants: type 1, a 52-bp deletion (p.L367fs*46) or type 2, a 5-bp TTGTC insertion (p.K385fs*47). Recent studies have suggested phenotypic and prognostic differences between these two variants (Tefferi et al. Blood 2014, Leukemia 2014 and AJH 2014). Furthermore, data are emerging that suggest functionally-relevant structural differences between type 1 and type 2 CALR variants, including a higher alpha-helix content of the mutant C-terminus in type 2, compared to type 1 (Eder-Azanza et al. Leukemia 2014). Objectives : We used statistical models to calculate helix propensity for thirty-one unique amino acid sequences that were altered by CALR mutations and used the results to subclassify non-type 1/2 CALR mutations into “type 1-like” and “type 2-like” variants. Subsequently, we examined the prognostic relevance of these subgroups. Methods : Calculation of helix propensity, which is the percentage of residues that are predicted to be involved in the formation of an alpha-helix, was performed using AGADIR, which is a statistical approximation algorithm (Munoz et al. Biopolymers 1997). The helix tendency calculations were performed using conditions of pH 7.0, 5 and 25 °C, an ionic strength of 0.1 M and no N- or C-terminal protection. Results : 532 PMF patients were screened for JAK2, CALR and MPL mutations; the respective mutational frequencies were 58%, 24.6% and 7.3%. Among the 131 CALR-mutated cases, 98 (74.8%) harbored type 1, 15 (11.5%) type 2 and 18 (13.7%) other variants. Based on predicted helix propensity scale, the “other” CALR mutations were subclassified as type 1-like (n=12) or type 2-like (n=6) and respectively grouped with type 1 and type 2 variants, for purposes of phenotypic and prognostic comparisons. The AGADIR-derived predicted helix propensity scale was 29.69 for wild-type CALR and 8.6 or 34.17 for type 1 and type 2 mutant CALR, respectively; accordingly, CALR variants with values that are close to or above the value for wild-type CALR were classified as “type 2-like” (range 26.47-36.12) and those with values close to or below the value for type 1 as “type 1-like” (range 2.11-17.3). Comparison of “type 1/type 1-like” (n=110) and “type 2/type 2-like” (n=21) CALR mutations showed the latter to be associated with higher DIPSS-plus score (p=0.01), EZH2 mutations (p<0.01), leukocyte count >25 x 10(9)/L (p<0.01), higher circulating blast percentage (p=0.02) and palpable spleen size >10 cm (p<0.01). Comparison of “type 1/type 1-like” CALR and JAK2 mutations (n=309) showed the former to be associated with younger age, higher platelet count, lower transfusion need, higher hemoglobin level, lower leukocyte count and lower DIPSS-plus score (p<0.01 for all comparisons). None of these associations was evident during comparison of “type 2/type 2-like” CALR with JAK2 mutations. Survival was similar between patients with type 1 and “type 1-like” (p=0.8) and between type 2 and “type 2-like” (p=0.63) CALR mutations. In contrast, survival was significantly shorter in patients with type 2 (HR 2.4, 95% CI 1.2-4.8) and “type 2-like” (HR 3.2, 95% CI 1.0-10.6), when compared to those with type 1 CALR mutations. Survival was also significantly shorter with “type 2/type 2-like” vs “type 1/type 1-like” CALR mutations (p=0.003; HR 2.5, 95% CI 1.4-4.5) and the difference remained significant when analysis was adjusted for age (p=0.047), ASXL1 (p=0.003) or EZH2 (p=0.001) mutations. Similarly, compared to JAK2-mutated cases (n=309), survival was longer in patients with “type 1/type 1-like” (HR 0.4, 95% CI 0.3-0.5) but not in those with “type 2/type 2-like” (HR 0.9, 95% CI 0.5-1.6) CALR mutations; the difference in survival between JAK2 and “type 1/type 1-like” CALR mutated cases remained significant (P<0.01) when analysis was adjusted for age, ASXL1 or EZH2 mutations or DIPSS-plus score. Conclusions : CALR mutations in PMF might be subclassified into type 1-like and type 2-like variants, based on predicted helical propensity of their mutant C-terminus. The favorable impact of CALR mutations in PMF might be restricted to type 1 or “type 1-like” variants. Disclosures No relevant conflicts of interest to declare.

Abstract Background : Momelotinib is a JAK1 and JAK2 inhibitor that is currently being evaluated in phase-3 clinical trials for the treatment of myelofibrosis (MF) (NCT01969838, NCT02101268). In a phase-1/2 clinical trial of patients with MF, the drug was shown to improve anemia, reduce spleen size and alleviate symptoms (Leukemia 2013;27:1322). In the current study, we considered 100 consecutive patients from the Mayo Clinic who received momelotinib therapy, in order to identify molecular and cytogenetic predictors of treatment response and survival from the time of study entry. Methods : The study patients constituted part of a phase-1/2 clinical trial (NCT00935987) using momelotinib in MF. Details of the protocol, including inclusion and exclusion criteria were previously published (Leukemia 2013;27:1322). Response was determined by the 2006 response criteria published by the IWG-MRT. Data analysis and interpretation was carried out independent of any influence from the sponsor. Results : 100 patients with MF (median age 66 years; 58% males) were treated at the Mayo Clinic between 11/20/09 and 11/10/10. MF type was primary in 64% of the patients and post-polycythemia vera/essential thrombocythemia in 36%. DIPSS-plus risk distribution was 63% high, 36% intermediate-2 and 1% intermediate-1. Red cell transfusion dependency was documented in 49% and palpable spleen size of >5 cm (median 19 cm) in 92%. All patients were annotated for JAK2/CALR/MPL mutations with respective frequencies of 73%, 16% and 7%. Frequencies for other mutations included 42% for ASXL1 (84 evaluable) and 18% for SRSF2(78 evaluable). All patients were evaluable for karyotype, which was unfavorable in 17%. Previous treatment included other JAK inhibitors in 21 patients, thalidomide/lenalidomide/pomalidomide in 31 and hydroxyurea or other cytoreductive agents in 55. Momelotinib was initiated at 100 mg/day in 3 patients, 150 mg/day in 21, 150 mg twice-daily in 20, 200 mg/day in 3, 300 mg/day in 47 and 400 mg/day in 6. The maximum momelotinib dose was 150 mg/day in 6 patients, 150 mg twice-daily in 20, 300 mg/day in 68 and 400 mg/day in 6. Treatment duration was <6 months in 12 patients, 6-12 months in 22, 12-24 months in 19 and >24 months in 47. Genetic correlates of response to momelotinib : Overall response rate was 57% and included no complete remissions (0%), one (1%) partial remission and 57 (57%) clinical improvements (CI). Response rates for spleen/liver and anemia were 43% (91 evaluable) and 44% (68 evaluable), respectively. Transfusion independency was achieved in 25 (51%) of 49 evaluable cases. Spleen/liver response rate was significantly affected by JAK2/CALR/MPL mutational status (34% vs 73% vs 60%, respectively, and 50% in triple-negative; p=0.04), CALR mutated vs unmutated status (73% vs 37%; p=0.009), and unmutated vs mutated ASXL1 (53% vs 29%; p=0.035). Furthermore, all 8 (100%) patients who were CALR+/ASXL1- responded vs 6 (25%) of 24 CALR-/ASXL1+ vs 3 (50%) of 6 CALR+/ASXL1+ vs 16 (43%) of 37 CALR-/ASXL1- patients (p=0.003). Spleen/liver response rates were not affected by SRSF2 mutations (p=0.93) or karyotype (p=0.41). Anemia response rate was not affected by JAK2/CALR/MPL (p=0.81), ASXL1 (p=0.16), SRSF2 (p=0.12) or CALR/ASXL1 (p=0.42) mutational status or karyotype (p=0.65). The number of informative cases for EZH2, IDH, SF3B1 and U2AF1mutations were not adequate enough to warrant similar analysis. Genetic correlates of survival from time of protocol entry : Median follow-up after the institution of protocol drug therapy was 35 months (range 1-49). During this period, 57 (57%) deaths and 12 (12%) leukemic transformations were documented. On multivariable analysis, shortened survival was predicted by the presence of ASXL1 (p=0.01; HR 2.1, 95% CI 1.2-3.8) or SRSF2 (0.01; HR 2.4, 95% CI 1.2-4.8) mutations and the absence of CALR mutations (p=0.03; HR 3.2, 95% CI 1.1-8.9). Karyotype was significant on univariate (p=0.01) but not in multivariable (p=0.6) analysis that included the aforementioned mutations. The prognostic relevance of each specific mutation was DIPSS-plus independent. Conclusions : We demonstrate significant associations between CALR and ASXL1 mutational status and spleen response to momelotinib therapy in MF. We also show that momelotinib therapy did not overcome the inferior survival associated with the presence of ASXL1 or SRSF2 mutations or the absence of CALR mutations. Disclosures No relevant conflicts of interest to declare.

Abstract Philadelphia-negative Myeloproliferative Neoplasms (MPN), including Polycythemia Vera (PV), Essential Thrombocythemia (ET), Myelofibrosis (Primary [PMF] and secondary to PV and ET [PPV-, PET-MF] and unclassified MPN (U-MPN), are associated with an increased risk of venous thrombosis in unusual sites, such as splanchnic vessels (SVT). SVT can lead to complications such as portal hypertension, esophageal and gastric varices, ascites,hepatic failure and biliopathy. According to a meta-analysis MPN is the underlying cause of portal vein thrombosis (PVT) in 31.5% and Budd Chiari syndrome (BCS) in 40.9% of cases (Smalberg, 2012); a more in-depth analysis of clinical characteristics and evolution of MPN-associated SVT has been hampered by heterogeneity of cohorts comprising small number of cases. We conducted a retrospective multicenter study in patients (pts) with SVT associated with WHO2008-diagnosed MPN, with the aim to describe patient characteristics, disease course and prognostic factors with potential implications for clinical practice. Data were collected from 16 international hematologic centers in the framework of the Italian AGIMM and the IWG-MRT groups. We collected 519 cases of pts with PVT, splenic or mesenteric vein thrombosis (75.1%) and BCS (24.9%) associated with MPN. We used as comparator a cohort of 1686 controls (Ctr) represented by MPN without (w/o) SVT: 741 ET (43.9%), 684 PV (39.7%), 261 PMF (15.5%). Frequency of MPN associated with SVT was 37.8% ET (n=196), 36.8% PV (n=191), 15.4% MF (n=80), 10% U-MPN (n=52). Median follow-up was 89.9 months (mo) (range 0.5-430). For SVT vs Ctr group females were 54.5% vs 44.4% in PV (P=0.001), 68.4 vs 63.5% (p=0.13) in ET, 63.7% vs 29.1% in PMF (p<0.0001); median age at MPN diagnosis (dg) was 43.5 yr (range 12-90) vs 60.6 yr (range 12-93) (p<0.0001). Age at SVT dg was 44 yr (range 15-85). In 240 cases (46.7%) MPN and SVT dg were coincident, in 121 (23.6%) SVT occurred before MPN dg (median 26 mo, range 4-307) and in 153 (29.8%) during MPN follow up (median 68 mo, range 4-362). JAK2V617F mutation was found in 94% PV vs 94% in Ctr, 84% vs 61% ET (p<0.0001), 88.1% vs 68% PMF (p=0.006) and in 93% U-MPN. Erythropoietin-independent colonies (EEC) were evaluated in 111 SVT pts and found in 80 (72%), accounting for 38/48 PV (79%), 31/44 ET (70.5%), 9/12 PMF (75%) and 2/7 U-MPN (28.6%). At dg, SVT PV pts had lower hemoglobin levels than Ctr: median was 17.4 g/dL vs 18.5 g/dL (p<0.0001) in male, 16.9 g/dL vs 17.7 g/dL (p=0.0006) in female. A co-existing thrombophilic status was found in 38.5% SVT vs 11.8% of Ctr (p<0.0001). Recurrent SVT occurred in 12.2% of pts with a rate of 1.6% person/year (CI 1.2-2.1); risk of venous thrombosis other than SVT was increased in SVT group vs Ctr (p=0.02), with no difference for arterial thrombosis. Hemorrhage was more frequent in SVT group (32%) vs Ctr (7.2%)(p<0.0001), mainly related to esophageal varices, which were present in 66.9% of SVT pts. There was no difference in evolution to MF and acute leukemia (AL) for PV and ET pts with and w/o SVT, while risk of AL was lower in MF with SVT (p<0.00001). Overall survival was shorter in ET pts with SVT vs Ctr (p<0.0001). In PMF survival was better in SVT group (p<0.00001) and was associated with a higher proportion of SVT pts in lowest risk categories: IPSS low 65%, intermediate-1 20%, intermediate-2 10% and high 5% compared with 15%, 34%, 25% and 26% in Ctr group. At last FU, 79/519 pts (15.2%) had died; causes of death were evolution to AL (15.4%), other cancers (13.8%), disease progression without AL (10.8%), SVT (10.8%), hepatic failure and venous thrombosis other than SVT (7.7% each), heart failure and arterial thrombosis (6.2% each), hemorrhage (5.5%), renal failure and infection (4.6% each). Therapy after SVT included anticoagulation in 77%, antiaggregant in 21.2% and combination in 1.8%; 70% received cytotoxic drugs; 12.4% were treated with transjugular porto-systemic shunt. Beta blocker therapy was used in 48.5% of pts and correlated with improved survival (p=0.041) MPN associated with SVT correlated with younger age and female sex and might antedate the clinical phenotype in a quarter of the patients. MPN-associated SVT equally affected PV and ET, was more likely to occur in the presence of JAK2V617F or underlying thrombophilia and predicted recurrent venous but not arterial thrombosis. The apparent association of SVT with better or worse prognosis in PMF and ET, respectively, requires further investigation. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Over 10,000 new cases of myelodysplastic syndrome (MDS) are diagnosed in the US annually (MA X, Cancer 2007). Hypomethylating agents (azacitidine and decitabine), immunomodulating drugs (lenalidomide) and erythropoietin stimulating agents (epoetin α and darbepoetin) have been approved for more than a decade for the treatment of MDS. However, changes in overall outcome after the approval of these treatments are unknown. We used the National Cancer Data Base (NCDB), a nationwide oncology registry covering 70% of the US cancer population to answer these questions. Methods: We identified patients with MDS diagnosed from 2004-2013 using ICD-O-3 codes 9980-9983 and 9985-99912. Overall survival (OS) was estimated using the Kaplan-Meier method. We compared OS using the log-rank test according to demographic subgroups (sex, age [<40, 41-65, and ≥65 years], race [White, Black, Native American, Asian/Pacific Islander, and other], and ethnicity) across years of diagnosis (Period 1: 2004-2006, Period 2: 2007-2009, and Period 3: 2010-2013). Results: i) Characteristics: There were 54,953 MDS patients in our study. The median age at diagnosis was 76 years (78.7% older than 65) and 44% were females. White race (88.9%) was the most common, followed by black (7%). Four percent were Hispanics. A third (30.8%) of all patients were treated in academic centers. Three quarters (75.8%) had either Medicaid or Medicare insurance. ii) MDS Subtypes: 5q Syndrome was seen in 2008 cases (3.7%) while the most common subtype was MDS-Unclassifiable (U) (55.6%). Therapy related MDS (t-MDS) was seen in 1125 cases (2%), however coding for t-MDS was discontinued in 2009. Refractory anemia (RA), refractory anemia with ring sideroblasts (RARS), refractory cytopenia with multilineage dysplasia (RCMD), and refractory anemia with excess blasts were seen in 9%, 7.6%, 6%, and15.6%, respectively. iii) OS: Compared to their counterparts, patients who were male, older, had a diagnosis of RAEB, covered by Medicare insurance, and treated at non-academic centers had the worse OS (all P <0.001). Across Periods 1-3, we did not see improvement in OS among demographic subgroups except for those who were <40 years old (P=0.03). Conclusions: In the past decade, the overall outcome of MDS did not improve despite the advent of new therapies. More than half of the cases were classified as MDS-U reflecting the difficulty of subtyping MDS based on World Health Organization classification. We found disparity in outcomes by demographics and type of treatment facility. This is the largest study of MDS outcome to-date and should help in understanding the gaps and areas that need future research. Figure Figure. Disclosures Al-Kali: Onconova Therapeutics, Inc.: Research Funding; Celgene: Research Funding.

Abstract Introduction: The utility of patient reported symptoms and serum tryptase levels in distinguishing those with systemic mastocytosis (SM) versus mast cell activation syndrome (MCAS) versus those not meeting formal diagnostic criteria for SM or MCAS has not been systematically examined. Methods: This study was approved by our institutional review board. Patients were referred for suspected SM based on symptoms of mast cell activation, osteopenia, skin rash, etc., or had an established diagnosis of SM. All patients were given a Mastocytosis Symptom Assessment Form (MastSAF) to complete at their initial evaluation. The MastSAF is comprised of 36 symptom questions to be graded on a scale of 0 (absent) to 10 (worst imaginable), and is organized around 9 symptom clusters: gastrointestinal (8 questions), constitutional (3 questions), musculoskeletal (5 questions), cutaneous (4 questions), neuropsychological (6 questions), genitourinary (3 questions), respiratory (4 questions), angioedema (1 question), and cardiovascular (2 questions). All patients underwent bone marrow biopsy and serum tryptase level assessment. SM was diagnosed by 2008 WHO criteria. In the presence of characteristic symptoms, if clonal or abnormal mast cells were not identified, and if serum/urine mast cell mediator levels were increased, then non-SM associated, non-monoclonal MCAS was diagnosed. Results: A total 53 patients were studied. 1) SM: Of 28 patients, 13 had indolent SM (ISM), 9 aggressive SM (ASM) and 6 SM with associated hematological disease (SM-AHD) The median total symptom score was 47 (range 8-159). The median (range) for SM subgroups was: ISM 51 (9-159), ASM 55 (19-157) and SM-AHD 27 (8-131) (p=0.2). The normalized median score for individual symptom categories (total median score/no. of symptoms per category) in order of severity was cutaneous 1.9, gastrointestinal 1.8, constitutional 1.7, neuropsychological 1.3, respiratory 1.3, musculoskeletal 0.9, cardiovascular 0.3, genitourinary 0.3, and angioedema 0. Symptom severity was not significantly different among the 3 SM subgroups, except for constitutional symptoms (median score ASM 9, ISM 4, SM-AHD 2.5, p=0.02). The median (range) tryptase level was 48.4 ng/mL (8.8-282); four patients (14%) had a baseline level <20 ng/mL. The median (range) tryptase level among SM subgroups was: ISM 46.9 (8.8-225), ASM 103 (29.4-282), and SM-AHD 43.5 (28.5-233) (p=0.1). When considering patients with tryptase level ≥50 versus <50 ng/mL, symptom scores were not significantly higher in the former group with the exception of constitutional (p=0.02) and genitourinary symptoms (p=0.04). 2) MCAS: 15 patients The median total symptom score was 127 (range 2-248). The normalized median score for individual symptom categories in order of severity was neuropsychological 4.5, musculoskeletal 4.2, cutaneous 4.0, constitutional 3.3, gastrointestinal 2.1, respiratory and cardiovascular 2.0 each, genitourinary 1.7, and angioedema 1.0. The median (range) serum tryptase level at referral was 12.7 ng/mL (1.7-25.8); five patients (33%) had a baseline level >20 ng/mL. 3) Neither SM/MCAS: 10 patients The median total symptom score was 119 (range 45-177). The normalized median score for individual symptom categories in order of severity was musculoskeletal 4.2, gastrointestinal 3.6, constitutional 3.3, neuropsychological 3.3, cutaneous 3.0, cardiovascular and genitourinary 2.0 each, respiratory 1.3, and angioedema 0. The median (range) serum tryptase level at referral (n=9) was 4.8 ng/mL (2.9-6.6). 4) Comparison: MCAS vs. SM: Symptom scores were significantly higher in MCAS as compared to SM (p<0.05), except for genitourinary and respiratory symptoms, which were not significantly different. ‘Neither SM/MCAS’ vs. SM: Symptom scores (total, gastrointestinal, constitutional, musculoskeletal, cutaneous, and neuropsychological) were significantly higher in the former group (p<0.05). Other symptom scores were not significantly different. Conclusions: The spectrum and severity of patient reported symptoms was broadly similar among WHO subcategories of SM, and serum tryptase level had limited if any correlation with symptom scores. Despite the significantly higher overall symptom burden in MCAS versus SM, tryptase levels in the former group were significantly lower with values >30 ng/mL unusual. Despite overlap, the top ranked symptoms in the 3 groups were different. Disclosures No relevant conflicts of interest to declare.

Abstract Background : The 2016 revision to the World Health Organization 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 addition, CMML is characterized by a spectrum of cytogenetic and molecular abnormalities (Patnaik Leukemia 2014). In the current study, we looked for correlations between gene expression profiles (GEP) and morphologic or molecular categories of previously untreated patients with CMML. Methods : 35 patients with CMML were included in the study. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for 28 myeloid-relevant genes (Patnaik Blood C. J.). RNA sequencing (Stranded Total RNA- Illumina, San Diego, CA), was performed on 9 normal BM controls, and 35 CMML samples (25 peripheral blood (PB) and 10 BM). The RNA-Seq data was analyzed using MAPRSeq v.2.0. Normalization and differential expression analysis was performed using edgeR 2.6.2. We selected genes that were differentially expressed with a False Discovery Rate (FDR) <0.1 and a fold change bigger than 2. Pathway enrichment analysis was performed using Ingenuity Pathway Analysis (IPA). Results: Among the 35 study patients, 75% were males and median age was 71 years (range, 55-87). 21 (60%), 9 (25%) and 5 (15%) patients were classified as CMML-0, 1 and 2, respectively. 16 (45%) had a dysplastic while 19 (55%) had a proliferative phenotype. At a median follow-up of 16 months, 5 (14%) deaths and 4 (14%) leukemic transformations were documented. Mutational frequencies included; 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%. Abnormal cytogenetics (n=9, 35%) included; -Y 8%, trisomy 8 6%, monosomy 7 3%, del(13q) 3% and monosomal karyotype 3%. i) Differential GEP in PB samples: 25 PB CMML samples were analyzed. Unsupervised GEP demonstrated two unique clusters (figure one); cluster one was enriched with dysplastic CMML (90%) and cluster two with proliferative CMML (64%). Consistent with the difference in the distribution of morphologic categories, in comparison to cluster one, patients in cluster two had a higher white blood count (p=0.003), higher monocyte count (p=0.02) and higher risk prognostication by the Mayo Model (p=0.016); there was no significant difference between the two clusters in terms of age and gender distribution, hemoglobin level, neutrophil and platelet counts, PB or BM blast content, cytogenetic risk stratification, ASXL1, TET2, RAS, CBL and SETBP1 mutational status. Genes significantly upregulated (FDR<1e-5 and fold change ≥ 16x); in cluster two (proliferative CMML) in comparison to cluster one included; PRG2, CTSG, BEX1, CD34, CRISP2, while those significantly down-regulated included (FDR<1e-15 and fold change ≥ 5x); IL2RB, PRF1, GNLY, PDGFRB. IPA analysis identified the following pathways preferentially expressed in cluster two (proliferative CMML) 1) mitotic roles of polo-like kinase (KIF23, WEE-1, PLK1, PLK4), 2) Cell cycle: G2/M checkpoint regulation (CDC25C, WEE-1, AURKA, CDK1), 3) Cell cycle: chromosomal replication (CDC45, RPA3, MCM2, CDC7), and 4) BRCA1 in DNA damage response (BARD1, RBBP8, PLK1, RAD51). Whereas in the cluster one (dysplastic CMML), preferentially expressed pathways included; 1) T-cell receptor signalling (CD247 PRKCQ, CD4, PLCG1, CD28) and 2) STAT3 signalling (SOCS3, MAP3K9). ii) Differential GEP in BM samples: 10 BM CMML samples were analyzed along with 10 normal controls. Samples and controls clustered separately and within the CMML samples two clusters were identified (figure two). These clusters had equal representations of dysplastic (n=5) and proliferative (n=5) CMML sub-types. Additional samples are being processed. Conclusions: Differential gene expression profiling in patients with CMML identifies two unique clusters, clinically demarcated, at least in PB samples, by "proliferative" and "dysplastic" CMML subtypes. The proliferative cluster is enriched in genes involved in cell cycle regulation and DNA damage response; whereas the dysplastic cluster is enriched in T-cell receptor and STAT3 signalling. The prognostic and therapeutic impact of these gene clusters remains to be assessed in a larger group of informative patients. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Al-Kali: Novartis: Research Funding; Celgene: Research Funding.