Elliott, Michelle A.

Introduction: Chronic myelomonocytic leukemia (CMML), an aggressive myeloid malignancy, can be categorized into two subtypes, proliferative CMML (pCMML) and dysplastic (dCMML), based on a white blood cell (WBC) count of ≥ 13 x 109/L for the former (Arber et al. Blood 2016). While this WBC cut off is somewhat arbitrary, patients with pCMML have unique phenotypic features and a shorter survival. We carried out this study to assess the genomic, transcriptomic and epigenetic landscapes of these two CMML subtypes. Methods: Peripheral blood (PB) and bone marrow (BM) mononuclear cells (MNC) were obtained from WHO-defined CMML patients. Next generation sequencing (NGS) using a 36-gene panel was performed on 350 patients with Illumina HiSeq4000 platform with median read depth of 400X. RNA sequencing (RNA-seq) was performed on 25 patients by bulk whole transcriptome sequencing using Illumina TruSeq. DNA immunoprecipitation sequencing (DIP-seq) was performed on 18 patients using 5-methylcystocine (5mC), 5-hydroxymethylcytosine (5hmC) and bridging monoclonal antibodies with subsequent paired-end sequencing using HiSeq4000. Chromatin immunoprecipitation sequencing (ChIP-seq) was performed on 30 patients with Illumina HiSeq2500 to a depth of 25 million for histone 3 lysine 4 monomethylation (H3K4me1) and histone 3 lysine 4 trimethylation (H3K4me3) and 50 million reads for histone 3 lysine 27 trimethylation (H3K27me3) and Input per sample. Results: Five hundred and seventy-three patients with WHO defined CMML were included; median age 71 years (range 18-95 years), 67% males. 282 patients had pCMML (49%), while 291 (51%) had dCMML. As pre-defined, patients with pCMML were more likely to have higher absolute monocyte counts (p<0.0001), circulating immature myeloid cells (p<0.0001), PB blasts (p<0.0001), and higher lactate dehydrogenase levels (p=0.03). At last follow up 234 (41%) deaths and 70 (20%) leukemic transformations were documented. The median OS for pCMML vs dCMML in this cohort was 19 months vs 30 months (p<0.0001, Figure 1A) and validated in an independent Austrian cohort (p=0.02). Genomic profiling: NGS performed on 350 patients (BM MNC) revealed a higher frequency of NRAS (35 vs 17%, p=0.004), cumulative RAS pathway (NRAS, KRAS, CBL and PTPN11) (73 vs 47%, p=0.001), ASXL1 (p=0.003) and JAK2V617F (p=0.04) mutations in pCMML relative to dCMML (Figure 1B); while dCMML had a higher frequency of SF3B1 mutations (p=0.02). There were no differences in distribution of TET2 and SRSF2Transcriptomic analysis: RNA-seq was performed on PB MNC from RAS pathway mutant pCMML patients (n=12) and RAS pathway wildtype dCMML patients (n=13). Unsupervised clustering analysis resulted in appropriate segregation revealing distinct expression profiles between disease subtypes (Figure 1C). Compared to dCMML, 3729 genes were significantly differentially upregulated and 2658 genes were differentially downregulated in pCMML. Among genes most highly upregulated were mitotic checkpoint kinases including AURBK, PLK1, PLK2, PLK4 andEpigenetic profiling: ChIP-seq of PB and BM MNC from pCMML (n=18) and dCMML (n=12) patients and healthy, age-matched controls (n=10) revealed a global increase in H3K4me1, without significant differences in H3K4me3 or H3K27me3 occupancies (regardless of stratification by ASXL1 mutational status; 40% ASXL1mt in pCMML, 30% dCMML) in pCMML vs dCMML (Figure 1D). H3K4me1 occupancy was also increased in a sequence-specific manner at the transcription start sites of the aforementioned mitotic kinases (PLK1 and WEE1). DIP-seq was performed on PB MNC to assess global differences in 5-mC and 5-hmC levels, between pCMML (n=9) and dCMML (n=9), with no differences seen between the two subtypes (regardless of TET2 mutational status, 40% TET2mt in each subtype) (Figure 1E). Conclusions: Despite the somewhat arbitrary WBC distinction between pCMML and dCMML, clear phenotypic, genetic, transcriptomic, epigenetic and survival differences exist between the two subtypes, providing strong biological rationale for this distinction. pCMML patients have a higher frequency of oncogenic RAS pathway mutations, a unique transcriptomic profile enriched in mitotic check point kinases and a unique chromatin configuration with global and sequence specific enrichment in H3K4me1, with no significant global differences in 5mC, 5hmC, or H3K4me3 and H3K27me3 occupancy. Figure 1 Disclosures Geissler: AOP: Honoraria; Pfizer: Honoraria; AstraZeneca: Honoraria; Novartis: Honoraria; Celgene: Honoraria; Roche: Honoraria; Abbvie: Honoraria; Ratiopharm: Honoraria; Amgen: Honoraria. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Objective : Central nervous system (CNS) involvement is a known phenomenon of acute lymphoblastic leukemia. However little is known about the incidence of CNS involvement in acute myeloid leukemia (AML) as routine lumbar punctures are not done if patients are asymptomatic at diagnosis. Our practice has been to obtain lumbar puncture (LP) at or after complete remission (CR) for patients that present with any one of the following high risk features;hyperleukocytosis with WBC >10,000 or blastic crisis, extramedullary disease,monocytic differentiation. Methods: We reviewed our leukemia database at Mayo Clinic to determine the incidence of CNS involvement in patients with high risk features after due IRB approval. We also compared baseline demographic characteristics, blood counts, cytogenetic risk groups, presence of extramedullary disease, relapse rate ,transplant rate and overall survival (OS) among patients with and without CNS involvement. OS estimates were calculated by Kaplan-Meier curves and log-rank testing using JMP v.13. Results: 298 patients with AML were identified with presence of at least 1 risk factor for CNS involvement. The results of LP were only available for 126 (42%) patients. The overall incidence of CNS involvement was 12% (15/126, figure 1). Among the patients with positive disease 3 had CSF examination at diagnosis prior to CR due to the presence of CNS myeloid sarcoma (n=2) and ambiguous lineage myeloid leukemia and were excluded from further evaluation. The incidence of CSF involvement at CR1 was 9.7% (12/123). All patient with CNS positive disease received intrathecal chemotherapy with alternating cytarabine and methotrexate until they cleared their blast and additional 2-4 treatments as per treating physician's discretion .The CNS positive and negative patients were compared and did not show any statistical difference in age, gender, presence of extramedullary disease ,cytogenetic risk group, relapse rate and transplant rate as shown in table1. Molecular data was not available in most of the patients and hence was not included for analysis. The median OS was significantly lower among patients with CNS involvement compared to absence of CNS involvement but was not statistically significant likely due to small sample size (3.9 vs12.8 years (p=0.2), figure 2). The overall CNS relapse rate in patients who did not have a LP done at CR was 5.8%(10/172). Conclusions : CNS evaluation should be done in AML patients with high risk features before declaring CR. CNS disease portends overall a poor prognosis with impaired overall survival and high relapse rate. However the sample size was small and true incidence of CNS disease will need routine diagnostic LP in all high risk patients. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding.

Background MDS is a heterogeneous disease and the revised International Prognostic Scoring System (IPSS-R) is utilized in prognostication. The percentage (%) of blasts in the bone marrow is determined in the aspirate morphologically. Though the former is the standard of care the blast percentage is also reported by flow cytometry and biopsy which can many times be inconsistent. We previously presented the utilization of biopsy based blast percentage which showed meaningful prognostic groups compared to aspirate. In this study we compare the blasts as reported by the aspirate and flow cytometry in MDS-EB in calculating IPSS-R. Methods The MDS database was reviewed for cases of MDS-EB after due IRB approval at the Mayo clinic. We calculated IPSS-R scores based on the aspirate blast % (IPSS-RAsp) and flow blast% (IPSS-Rfl). The aspirate blast percentage was reported morphologically. Suboptimal aspirates were excluded from the study. The flow blast percentage was determined by immunophenotyping. The overall survival (OS) was determined by IPSS-RAsp and IPSS-RFl. OS estimates were calculated by Kaplan-Meier curves and log-rank testing using JMP v.13. Uno's concordance statistic was used to compare the 2 risk scoring systems. Results Of 1322 patients, 431 (33%) cases were identified with MDS-EB out of which 120 (29%) cases had blasts reported in the aspirate and flow. Based on aspirate MDS EB1: 54% (n=65), MDS EB2 46% (n=55). The hematological, cytogenetic and R-IPSS categories were compared between MDS-EB1 and MDS- EB 2. The blast percentage and hemoglobin levels was significantly different between MDS-EB1 and EB2 as seen in table 1, however the IPSS-R risk groups were not significantly different. The flow cytometry was concordant with aspirate in 66/120 (55%) cases. Out of the dis-concordant cases only 20% (11/54) was upstaged by flow cytometry with most of the patients being down staged as expected by the techniques used in processing the blood and hence not reliable when reported low (Figure 1). The OS outcomes based on the IPSS- R asp, IPSS-Rfl areshown in figure 2A,2B .The p value with aspirate based R-IPSS was more significant than flow cytometry based R-IPSS (p= 0.0007 vs 0.0174). We compared the two models for observed OS differences using the Uno model which was not statistically significant. (p= 0.6) Conclusions Both models did not show a difference which is likely due to the very small sample size. However flow cytometry did down stage more patients when disconcordant and may have less value in that setting. It would be ideal to compare all 3 models aspirate, biopsy and flow cytometry however we did not have enough number of patients to do the comparison. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding.

Background: Core binding factor acute myeloid leukemia (CBF-AML) is defined by the presence of either t(8;21)(q22;q22) or inv(16)(p13.1q22)/t(16;16)(p13.1;q22) and is associated with a favorable outcome, particularly if treated with repetitive cycles of high-dose cytarabine as post-remission therapy. Long-time 10-year overall survival (OS) rate was reported of 58% in FLT3-ITD negative patients (pts; Allen et al. Leukemia 2013). Nevertheless, 30-40% CBF-AML pts experience relapse. FLT3-ITD mutations occur in roughly 5-10% of adult CBF-AML. However, their prognostic relevance is still controversial. Aims: To characterize CBF-AML with FLT3-ITD and compare outcomes according to their genetic background. Methods: We retrospectively studied 65 AML pts with CBF-AML and FLT3-ITD (median age at diagnosis, 54 years; range, 22-81 years) diagnosed between 1996 and 2018 within seven study groups/institutions of the US and Europe. Results: Thirty-two (49%) of the 65 pts harbored t(8;21). Median white blood cell and platelet counts at diagnosis of patients with t(8;21) and inv(16) were 18.3/nl (range, 1.8-202/nl) and 31/nl (range, 7-372/nl), respectively. AML diagnoses were de novo in 61 (94%) and therapy-related in 4 (6%) of the pts. Thirty (46%) pts were female. Cytogenetic analysis revealed additional abnormalities (abn) in 38 (58%) pts, most frequently loss of X or Y (n=13; n=12 associated with t(8;21)), complex karyotype (≥3 abn; n=12; n=7 occurring in t(8;21)), trisomy 22 (n=7, all associated with inv(16)) or trisomy 8 (overall n=6, n=5 occurring in inv(16)). Four pts were positive for both mutations, FLT3-ITD as well as FLT3-TKD. Median ITD allelic ratio were 0.44 (range, 0.003-50) and median ITD size 60 bp (range, 3-120 bp). Three older pts (median age, 75.5 years) were treated with either azacitidine + sorafenib, azacitidine + venetoclax or with etoposide + tipifarnib. All three patients receiving non-intensive therapy died within one year and were excluded from further analysis. Complete remission (CR) after anthracycline-based induction therapy was achieved in 98% (n=61/62) of patients fit for intensive treatment including two pts treated with 7+3 ± midostaurin within the RATIFY trial. One patient died during induction. Fifteen (24%) pts underwent allogeneic hematopoietic cell transplantation. Of those, 10 pts were transplanted in 1st and 5 pts in 2nd CR. Median follow-up for the entire cohort was 4.43 years (95%-CI, 3.35-8.97 years). Median and 4-year relapse-free survival (RFS) rates were 3.41 years (95%-CI, 1.26 years - not reached) and 44.9% (95%-CI, 32.9-61.4%). Median and 4-year overall survival rates (OS) were 4.48 years (95%-CI, 2.26 years - not reached) and 51.8% (95%-CI, 39.6.2-67.9%). Neither type of CBF-AML (p=0.60), nor additional chromosomal abn (p=0.80), nor presence of a complex karyotype (p=0.50) had a prognostic impact on OS. Higher age (≥60 years) was an in trend negative prognostic factor on RFS and OS (p=0.07, each). High allelic ratio (≥0.5) had no impact on RFS (p=0.3), but in trend on OS (p=0.10). Conclusions: Despite a high remission rate pts with FLT3-ITD had an inferior outcome as compared to previously published data on CBF-AML without FLT3-ITD. Thus, CBF-AML with FLT3-ITD should not be classified within the low-risk category. CBF pts with FLT3-ITD warrants further study and should be included in FLT3-inhibitor trials. Disclosures Brunner: Astra Zeneca: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Forty Seven Inc: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding. Novak:Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel,Accommodations; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Other: Travel,Accommodations; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees. Stoelzel:Neovii: Other: Travel funding; Shire: Consultancy, Other: Travel funding; JAZZ Pharmaceuticals: Consultancy. Thiede:Daiichi Sankyo: Honoraria; AgenDix GmbH: Employment, Equity Ownership; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Diaceutics: Membership on an entity's Board of Directors or advisory committees. Platzbecker:Novartis: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria. Levis:Agios: Consultancy, Honoraria; Astellas: Consultancy, Research Funding; FUJIFILM: Consultancy, Research Funding; Menarini: Consultancy, Honoraria; Novartis: Consultancy, Research Funding; Daiichi Sankyo Inc: Consultancy, Honoraria; Amgen: Consultancy, Honoraria.

Abstract Background: Chronic myelogenous leukemia (CML) is a BCR-ABL1 driven myeloid neoplasm, with excellent response rates to tyrosine kinase inhibitors (TKI). TKI such as imatinib (IM), dasatinib (DAS), nilotinib (NIL), bosutinib (BOS), and ponatinib (PON) currently US FDA approved, have dramatically changed survival outcomes. That being said, two main challenges exist; suboptimal responses and TKI intolerance. The reason why some patients tolerate/respond to TKI better than others is unknown, but is potentially explainable based on drug metabolism. The field of pharmacogenomics (PGX) is rapidly evolving, with commercial panel's rapidly assessing metabolic pathways such as cytochrome P450 (CYP), UGTA1A, p-glycoprotein/ABCB1. We carried out this study using a 22 gene-PGX panel to assess potential causes of TKI related intolerance and suboptimal responses in compliant patients. Methods: Twenty-nine Mayo Clinic patients with CML were prospectively recruited after informed consent. Buccal swabs were utilized for PGX testing to assess variations/polymorphisms involving CYP3A4/5, 1A2, 2C9, UGT1A1, amongst others (www.Oneome.com). Three groups of patients were recruited, those with i) TKI intolerance, ii) suboptimal responses by ELN criteria, iii) and newly diagnosed cases, to assess if PGX testing could explain TKI intolerance or resistance, or alter choice of therapy in newly diagnosed cases. A pharmacology review was obtained to interpret reports in all cases. Results: 29 patients with CML were prospectively enrolled, median age 64 years, 15 (52%) male. At last follow up (median 21 months), 3 (10%) deaths and no disease progressions were documented. 82% received first line IM, whereas 18% received first line DAS. Major metabolic pathways assessed for IM included, CYP3A4 and 5, while minor pathways included 2C19, 2C9 and 2D6. Majority (83%) of IM patients had normal major pathways with 17% being intermediate-normal. With regards to the minor pathways, 25% were rapid metabolizers for 2C19, whereas 29% were intermediate and 4% poor metabolizers for 2C9 and 50% and 16% were intermediate and poor metabolizers for 2D6. In all IM treated patients PGX testing did not completely explain intolerance or resistance and did not change clinical decision making. Front line DAS was used in 18% and the major pathway assessed was CYP 3A4, with 80% being normal and 20% being intermediate metabolizers. Once again PGX testing did not completely explain intolerance/resistance and no therapeutic changes were based on PGX analysis. Seventeen (59%) patients received second line TKI therapy (50% each for intolerance and resistance), with DAS (58%) and NIL (29%), being the two most common. Once again for DAS, 90% had normal 3A4 metabolism while 10% were intermediate and for NIL 80% were normal and 20% intermediate. Only one of 2 NIL treated patients with UGTA1A polymorphisms developed indirect hyperbilirubinemia (grade 1). In the second line setting, PGX testing did not completely explain or alter treatment decisions. BOS was used as a third line agent in 3 (>10%) patients, 2 who remained refractory and one with intolerance, and all three were normal CYP3A4 metabolizers. None of these patients developed diarrhea a common side effect of BOS. PON was used in one patient with intermediate CYP3A4 metabolism as a 5th line agent and the patient continues to have refractory disease with no thrombotic events. In all cases, no changes were made to concomitant medications based on PGX testing. Conclusion: In conclusion, while PGX testing has rapidly evolved and become commercially available, in the context of TKI therapy for CML, while it offers useful insights on minor metabolic derangements and side effects like NIL induced hyperbilirubinemia, in our study, currently limited by a small sample size, it did not completely explain TKI intolerance or resistance. Recruitment of additional patients (n=100) and correlations with plasma drug levels are currently ongoing. Table. Table. Disclosures Al-Kali: Novartis: Research Funding. Stewart:Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding; Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy.

Abstract Background: Anagrelide clinical trials in myeloproliferative neoplasms (MPN) were pioneered by the late Murray N. Silverstein M.D.(1928-1998) of the Mayo Clinic and the first publication involving 20 patients, including 17 with essential thrombocythemia (ET), appeared in 1988 (study launched in October 1985) (N Engl J Med 1988;318:1292). A larger study involving 577 patients, including 335 with ET, was subsequently published in 1992 and led to FDA approval in March 1997 (Am J Med 1992;92:69). Anagrelide has also been evaluated, in controlled studies, for its efficacy and safety as first-line therapy for ET; the results of these studies suggested that anagrelide was not inferior to hydroxyurea, in one study (Blood 2013;121:1720), but might have been harmful to patients in, the second study (N Engl J Med 2005;353:33); in the latter study, patients receiving anagrelide experienced higher incidences of arterial thrombosis, bleeding complications and fibrotic progression. These observations raised significant concern regarding an adverse survival impact of anagrelide in ET; unfortunately, the follow-up period of formal controlled studies were too short to accurately address the particular concern. Methods: The current study represents a retrospective examination of the potential impact of anagrelide therapy on survival and disease complication rates in ET. The study population was recruited from a consecutive cohort of adult patients (age ≥18 years) with MPN seen at the Mayo Clinic from 10/27/1967 through 12/29/2017. Diagnosis and determinations of fibrotic and/or leukemic transformations, were in strict accordance with the 2016 World Health Organization criteria (Blood 2016;127:2391). Statistical analyses were based on clinical and laboratory parameters obtained at the time of first referral to the Mayo Clinic which, in the majority of cases, coincided with initial diagnosis. All patients were followed from diagnosis until death or date of last follow-up or contact. Follow-up was until April 2018 and data collected via medical records or in certain cases, by directly contacting patients or their physicians. Survival and time-to-event curves were prepared using the Kaplan-Meier method and compared by the log-rank test. The JMP® Pro 13.0.0 software package was used for all analyses (SAS Institute, Cary, NC, USA). Results: 1,076 patients with ET were considered (median age 58 years; females 63%); international prognostic scoring system for ET (IPSET; Blood 2012;120:1197) risk distribution was 28% high, 42% intermediate and 30% low; driver mutational status was JAK2 61%, CALR 25%, triple-negative 11% and MPL 3%. Comparison of cases diagnosed before (n=433) and after (n=643) the FDA approval date of anagrelide (1997) revealed the former cohort to be younger (median 57 vs 60 years; p=0.003), although the difference in IPSET risk distribution was not significant (p=0.14). Figures 1a, 1b, 1c and 1d illustrate overall (OS), myelofibrosis-free (MFFS), leukemia-free (LFS) and thrombosis-free survival data comparing ET patients diagnosed before and after the 1997 FDA approval date for anagrelide; a significant difference was apparent for OS (p=0.006; HR 1.4, 95% CI 1.1-1.7) and MFFS (p<0.001; HR 4.2, 95% CI 2.7-6.5), in favor of patients diagnosed prior to 1997; during multivariable analysis that included IPSET and sex, the significant difference in both OS and MFFS were sustained; the difference in OS was most apparent after the first decade of diagnosis with 10- and 20-year survival rates of 75% and 50% for diagnosis prior to 1997 vs 72% and 21% for diagnosis between 1997 and 2017 (figure 1a); the 10- and 20-year risk of fibrotic progression was 3% and 15% for diagnosis prior to 1997 and 14% and 46% for diagnosis after 1997 (figure 1b); there was no impact on LFS (p=0.32; Figure 1c) or TFS (p=0.18; Figure 1d). Similarly stratified survival data in polycythemia vera (n=665) and primary myelofibrosis (n=1,282) showed no impact on survival (p=0.3 and 0.17, respectively). Conclusions: In a retrospective, but otherwise unbiased comparative analysis, we show significantly decreased OS and MFFS in ET patients diagnosed after the FDA approval date of anagrelide (1997); the increased risk of fibrotic progression noted is consistent with results of earlier prospective data (N Engl J Med 2005;353:33). Our observations regarding OS requires confirmation in a prospective controlled setting. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction: Chronic myelomonocytic leukemia (CMML) is a chronic myeloid malignancy associated with monocytosis, autoimmunity (~30%) & an inherent risk for leukemic transformation. Bone marrow (BM) dendritic cell (DC) populations occur in ~30% of patients, with a poorly defined biological & prognostic role. The malignant immune microenvironment is regulated by indoleamine 2,3-dioxygenase-1 (IDO-1) expressing DCs, which modulate regulatory T (Treg) cells & block their conversion into proinflammatory T helper (Th17)-like cells. IDO-1 is a known immune checkpoint & functions by catabolizing tryptophan, an amino acid essential for T cell function. We hypothesized that distinct IDO-1 expressing DC populations in CMML modulate Tregs & contribute towards immune tolerance & aggressive disease biology. Methods: Primary diagnostic CMML peripheral blood mononuclear cells (PBMC) & BM biopsy specimens were obtained after Mayo Clinic IRB approval. A DC population was defined on H&E stained biopsy sections as focal collections (>10) of cells with characteristic elongated nuclei & cytoplasmic extensions. Transcriptomic & protein expression studies assessing IDO-1 expression were done by previously described methods. In addition, IHC expression of PD-1, PD-L1 & CTLA-4 was also done. IDO-1 promoter methylation studies with DIP-seq were performed. The impact on immune tolerance was assessed using mass cytometry (CyTOF). Results: Cohort: Twenty eight patients with CMML were included in the study, median age 70 (range: 51-80) years; 71% males. Eleven (39%) patients had coexisting autoimmune conditions. Of these, 8 (73%) had detectable DC populations either at diagnosis, or during the course of their disease. At a median follow-up of 46 (95% CI 27, 84) months, there were 14 (50%) deaths & 9 (32%) leukemic transformations.IHC results: Nine (32%) patients were identified to have a DC population at CMML diagnosis. CD123 & TCL1 staining was performed in 5 (56%) patients, with 3 being positive for both, & 2 positive for CD123 only (additional IHC studies ongoing). IDO1 expression by IHC was documented in all 9 (100%) cases (Fig 1A & 1B), while rare populations of PD-1, PD-L1 & CTLA-4 lymphocytes were also seen in all cases. Due to the low DC burdens (median cellularity ≤ 5%) & uniform staining intensity, IHC-based grading was not done. Samples at serial time-points, post-HMA therapy & at the time of blast transformation, were available in 5 & 3 patients respectively. Among the patients who did not have DC populations at diagnosis, 5 (42%) developed them post-HMA therapy, while 3 (50%) developed them at the time of LT. The development of DC populations was associated with loss of response to HMA (50%) & disease progression (50%).Transcriptomic analysis: RNA expression data was available on 7 (25%) patients, of whom only 1 (14%) had DC populations at diagnosis. The IDO-1 RPKM value in the former was higher than the mean pooled value in the latter group (330 versus 74, p=0.05).Methylation studies: DIP-seq was performed on 12 (43%) cases from the primary IHC cohort. Qualitative analysis of IDO-1 promoter hypomethylation was conducted & confirmed in all 9 (100%) cases with 5-mC & 5-hmC marks compared to input as displayed in figure 1C.Immune profiling: CyTOF was performed on 4 CMML samples (3 with IDO-1 expressing DC populations at diagnosis) from the primary IHC cohort & compared to a normal PBMC control. Results confirmed an increase in DC populations (fig 1D& 1E), & reduced % of Th17-like T cells in CMML samples compared to control (1.1 versus 5.07, p=0.05, fig 1F).Clinical correlates & survival analysis: With the exception that CMML patients with DC populations had a higher frequency of NRAS (P=0.007) mutations, the two groups were comparable for cytogenetic & molecular abnormalities. The median OS for the cohort was 45 (95% CI 29, 84) months. CMML patients with IDO-1 expressing DC populations at diagnosis had a shorter median OS, in comparison to those without (median OS 30 vs 45, p=0.03, Kaplan-Meier analysis in fig 1G). Conclusions: In conclusion, we demonstrate that DC populations are seen in ~30% of patients with CMML with a uniform expression of IDO-1 & limited expression of PD-1, PD-L1 & CTLA-4. CMML patients with BM DC populations have a higher frequency of NRAS mutations & DC IDO-1 expression is associated with tumor induced immune tolerance. Additional IHC, genomic & preclinical studies with IDO-1 inhibitors are ongoing. Figure 1. Figure 1. Disclosures Al-Kali: Novartis: Research Funding.

Abstract Abstract 3555 Background: Although treatment-related acute myeloid leukemia (tr-AML) has been identified as an independent marker of poor prognosis, it is important to determine how characteristics of the patient, primary malignancy, or treatment regimen affect the development and outcome of tr-AML. Taxane therapy has become essential in the management of breast cancer in light of its favorable effect on survival in short term studies. However, clinical trials fail to capture acute leukemias related to recently introduced agents since development of tr-AML occurs years after chemotherapy. Aim: To examine the effect of taxane therapy on clinical outcome of patients who were treated for breast cancer and subsequently developed tr-AML. Methods: This retrospective chart review considers patients diagnosed with AML at Mayo Clinic between 1990 and 2011. Patients were included if they had previously received chemotherapy for breast cancer, or if they had never received any chemotherapy. Demographic data, previous diagnosis and treatment regimen, CBC at diagnosis, pathology and cytogenetic information, therapy used, and response were collected for each patient. IRB approval was obtained. Comparison between two groups was done using t-test; survival estimates using Kaplan-Meier curves were constructed with software JMP 9. Results: A total of 88 adult females with AML were identified. Median age at AML diagnosis was 58 years (range 19–86). Median hemoglobin was 8.9 g/dL (4–14.5), white blood cell count (WBC) 9.7 x109/L (0.6–237), platelets 67 x109/L (1–361), peripheral blood (PB) blasts 13%, bone marrow blasts (BM) 44%, and BM cellularity 90%. Of the 88 patients, 23 (26%) had previously received treatment for breast cancer (tr-AML), the remainder had de novo AML. Taxanes were included in the initial treatment for breast cancer in 14 (61%, median age 57, group 1), compared to 9 (39%) patients with no history of taxane exposure (median age 58, group 2). Median hemoglobin was 9.7 g/dL, WBC 4.5×109/L, platelets 72×109/L, PB blasts 2%, BM blasts 40% in group 1, compared to 8.3, 7.1, 50, 28%, 47%, respectively, in group 2. Cytogenetic analysis of group 1 showed diploidy in 8%, complex karyotypes in 8%, and chromosome 11 abnormalities in 38%, compared to 50%, 0%, 33%, respectively, in group 2. In group 1, 14% had good risk cytogenetics, 57% had intermediate risk, and 29% had poor risk, compared to 17%, 83%, and 0%, respectively, in group 2. Cytogenetic analysis of de novo AML showed diploidy in 71%, complex karyotypes in 14%, and chromosome 11 abnormalities in 0%. Complete remission (CR) was achieved in 79% of group 1 and 83% of group 2 (p 0.8). Differences in survival of group 1 (375 days) and group 2 (222 days) did not reach statistical significance (p 0.12). Median survival was 584 days for patients with de novo AML, 375 days in group 1 (p 0.47), and 222 days in group 2 (p<0.001). Conclusion: In agreement with previous reports, we found that tr-AML is a poor prognostic factor overall (p 0.04). However, patients with a history of breast cancer who had been treated with taxanes as a part of their initial chemotherapy regimen demonstrated similar survival as patients with de novo AML (p 0.47). Tr-AML patients only did significantly worse than patients with de novo AML if they had never received taxanes as part of their breast cancer therapy (p<0.001). Disclosures: No relevant conflicts of interest to declare.

Abstract Background : Pre-treatment determinants of survival in adult acute myeloid leukemia (AML) include performance status, age, karyotype, the distinction between primary and non-primary AML and FLT3-ITD/NPM1 mutational status. Current literature on AML natural history and risk factors is often based on information derived from stringent protocol studies. In the current series of 1,123 adult patients seen at the Mayo Clinic between 2004 and 2017, we examined long-term survival specified by a number of primarily established risk factors. Methods: Diagnosis of AML and its sub-classification was according to World Health Organization criteria. Study subjects were recruited from the Mayo Clinic AML database. Conventional response criteria were used for CR and CRi assignment; the latter met all criteria for CR with the exception of platelet count <100 x 109/l or absolute neutrophil cunt <1 x 109/l. Standard statistical methods were used for analysis of overall survival, calculated from the initial diagnosis of AML to date of death or last follow-up; analyses were performed both in the absence and in the presence of censoring of survival at time of allogenic stem cell transplant (ASCT). The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,123 adult patients (median age 65 years, range 18-94; 61% males) with non-APL AML were considered; 61% were age >60 years. 351 (31%) patients were seen between 2004 and 2009 and 772 (69%) between 2010 and 2017. AML subcategories were primary (56%), post-myelodysplastic syndromes (post-MDS; 24%), therapy-related (10%), post-myeloproliferative neoplasm (post-MPN; 8%) and post-MDS/MPN (3%). Cytogenetic risk distribution, according to the European LeukemiaNet classification, was favorable in 47 (4%), intermediate in 650 (58%) and adverse risk in 426 (38%) patients. FLT3, NPM1 and CEBPA mutation information was available in 462 (24% mutated), 393 (27% mutated) and 228 (11% mutated) patients, respectively. Treatment included intensive chemotherapy (IC) in 766 (68%) patients, less aggressive chemotherapy, including the use of hypomethylating agents in 144 (13%) and supportive care alone in 213 (19%) patients. ASCT was utilized in 258 (23%) cases, almost all performed after achieving CR/CRi. Complete remission (CR) and CR with incomplete count recovery (CRi) were listed in 333 (30%) and 248 (22%) patients, respectively; the corresponding rates in IC-treated patients were 43% and 32%. Almost all cases of CR/CRi occurred in IC-treated patients; 2 (1.4%) CRs were listed for less aggressive chemotherapy. After a median follow-up of 11 months, 798 (71%) deaths were recorded. Median survival for all 1,123 patients was 14 months with 1-, 3- and 5-year survival rates of 54%, 29% and 23%, respectively; a slight but significant (p=0.01) improvement in survival was apparent in more recent years (Figure 1a). Figures 1b, 1c and 1d depict analysis stratified by AML subcategories, treatment received and response obtained, respectively. Similarly, figures 2a, 2b and 2c depict analysis stratified by karyotype, use of ASCT and age. Multivariable analysis of pre-treatment parameters evaluable in all 1,123 patients identified age >60 years (HR 2.2, 1.9-2.6), adverse karyotype (HR 2.9, 1.9-4.9), intermediate-risk karyotype (HR 1.6, 1.02-2.6), post-MPN AML (HR 1.9, 1.5-2.4) and other secondary AML (HR 1.3 (1.1-1.6), as risk factors for shortened survival; the inclusion in the model of FLT3/NPM1 mutational status in 392 informative cases confirmed the adverse prognostic effect of age >60 years (HR 1.8, 1.4-2.5), adverse karyotype (HR 3.7, 1.4-15.3), post-MPN AML (HR 2.8, 1.6-4.6), other secondary AML (HR 1.4, 1.0-1.9) and FLT3+NPM1- (HR 2.8, 1.6-4.9) and FLT3-NPM1- (HR 1.7, 1.2-2.7) profile. Results were unchanged when survival was censored at time of ASCT. Additional prognostic interaction with treatment strategy and ASCT is further elaborated in an accompanying abstract to be presented. Conclusions: The current study, the largest coming from a single institution, provides practically useful information that should assist with patient consultation on AML prognosis and treatment. The study confirms the primary prognostic importance of age, karyotype and FLT3/NPM1 mutational status, in real-life practice. Novel observations included comparable value of CRi vs CR and the particularly worse prognosis associated with post-MPN AML. Disclosures Al-Kali: Novartis: Research Funding.

Abstract Background: While several population-based studies have reported on adverse outcomes and life expectancy in myeloproliferative neoplasms (MPN) (JCO. 2015;33:2288; AJH. 1999;61:10; Leukemia. 2013;27:1874; JCO. 2012;30:2995), large-scale studies reporting mature data have been rare and important questions remain unanswered. The current study documents the Mayo Clinic (MC) decades-long experience with over 3,000 consecutive MPN patients including polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF) with the majority of patients followed until death. Herein, we provide mature, and importantly, risk-stratified survival data and disease complication estimates. Methods: Study patients were recruited from MC, Rochester, MN, USA between 10/27/1967 and 12/29/2017. All MPN diagnoses and documentation of fibrotic/leukemic transformations were in accordance with the 2016 World Health Organization criteria (Blood. 2016;127:2391). Clinical and laboratory data were abstracted from medical records. Risk-stratification used conventional risk models considering age, leukocytes, and venous thrombosis for PV (Leukemia. 2013;27:1874), international prognostic score for ET (Blood. 2012;120:1197), and dynamic international prognostic scoring system for PMF (Blood. 2010;115:1703). Statistical analyses were based on parameters obtained at the time of referral to MC which, in the majority of cases, coincided with or was within 1 year of diagnosis. All patients were followed from diagnosis until death or date of last follow-up/contact. Recipients of allogeneic stem cell transplants were censored at the time of transplant. Standard statistical methods and time-to-event curves prepared using the Kaplan-Meier method were used to compare MPN subgroups. Survival data for low-risk ET/PV were compared with age- and sex-matched controls from Olmstead County, MN, USA. JMP® Pro 13.0.0 software (SAS Institute, Cary, NC, USA) was used for all analyses. Results: 3,023 consecutive patients (median age 62 years, range 18-96; 51% males) were considered, including 89% diagnosed within the year: 665 PV, 1076 ET and 1282 PMF. Conventional risk stratification in 2925 evaluable patients revealed low, intermediate, and high-risk status in 26%, 29%, and 45% of PV and 30%, 42%, and 28% of ET patients, respectively, while PMF cases were attributed low (14%), intermediate-1 (38%) -2 (40%) and high (8%) risk (Table 1). After a median follow-up of 8.2 years for PV (range 0-39), 9.9 for ET (range 0-47), and 3.2 for PMF (range 0-31), 1631 (54%) deaths, 183 (6%) leukemic transformations, 244 (14%) fibrotic progressions, and 516 (17%) thrombotic events were recorded (Table 1). Median overall survival (OS) was 18 years for ET, 15 for PV and 4.4 for PMF (p<0.05 for all inter-group comparisons) (Figure 1A). Leukemia-free survival was similar for ET and PV (p=0.22) and significantly worse for PMF (p<0.001) (Figure 1B). PV, compared to ET, was associated with higher risk of fibrotic progression (p<0.001) (Figure 1C). Thrombosis risk after diagnosis was highest in PV and lowest in PMF (p=0.002 for PV vs ET; 0.56 for ET vs PMF; and 0.001 for PV vs PMF) (Figure 1D). Following risk stratification, median OS in low-risk ET (28 years) and low-risk PV (27 years) were superimposed (p=0.89) (Figure 2). Similarly, intermediate or high-risk PV and ET patients had comparable OS within each risk strata (p=0.23 and 0.11, respectively). Low-risk PMF survival was analogous to that of intermediate-risk PV (p=0.06). All other risk-stratified categories disclosed significantly different inter- and intra-group survival patterns (p<0.001) (Figure 2). Despite their categorization as favorable-risk disease, both low-risk ET and low-risk PV displayed excess mortality relative to age- and sex-matched controls with median survival of 26.7 and 28.1 years respectively, compared to the expected 37.5 and 39.2 years (p<0.001) (Figure 3). Conclusions: The current study provides large-scale and uniquely mature survival and outcomes data in MPN and highlights MPN subgroup risk categorization as cardinal in appraising disease natural history. Interestingly, OS was only marginally better in ET, compared to PV, while the latter clearly displayed a higher risk of thrombosis and fibrotic progression. Moreover, data disclosed shortened life expectancy relative to matched controls even in MPN with favorable risk attribution. Disclosures Busque: BMS: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Paladin: Consultancy.