Citations

7064 Background: Obesity is a growing medical challenge that has strong association with many comorbid diseases. Body mass index (BMI) is used as one indicator for obesity. A few papers have linked hematological cancers with a worse prognosis if obesity was present. Aim: to study the influence of obesity clinical outcome in patients (pts) with CMML. Methods: A retrospective chart review of pts with CMML at Mayo Clinic Rochester between 1994–2011 was done. BMI was calculated at diagnosis or first time visit. Overweight was defined as BMI ≥25, while obesity as BMI >30. IRB approval was obtained. Comparison between medians was done using Wilcoxon test, while survival estimates were calculated using Kaplan-Meier estimates via JMP software v.9. Results: We found227 pts with a median follow-up of 311 days, 68% of which weremales. Median age was 71 years, hemoglobin 11 gm/dL, white blood cells (WBC) 12x 109/L, and platelets 90x 109/L. Obese pts had a median age of 68 (p=0.0058), hemoglobin 11 gm/dL (p=0.0018), WBC 13.5 x 109/L, platelets 115x109/L (p=0.012), PB blasts 0, bone marrow (BM) blasts 3.5% compared to non-obese pts (73, 10, 11, 78, 0, 3%, respectively). Diploid cytogenetics were similar in both groups (68% vs 64%, respectively, p=0.54). Leukemic transformation into acute myeloid leukemia (LT) was found in 13% vs 10% (p=0.83). Overall response (OR) was 24% and 23%, respectively (p=0.2), when limited to hypomethylating agents OR was 33% vs 27%, respectively (p=0.62). Median OS was found to be similar (571 day vs 569 days, respectively, p=0.56). When compared, overweight pts had similar outcome to non-overweight. Median LT was 11% vs 15% respectively, OR was 21% vs 28% respectively (p=0.5), and OS was 571 days vs 549 days respectively (p=0.21). On a multivariate analysis age, hemoglobin, platelets, BM blasts%, gender, and obesity (p=0.048) were of a significant value for OS. Conclusions: When compared, both obesity and overweight did not affect demographic characteristics, overall response, or transformation into AML. When comparing median overall survival, obesity was not a significant factor, possibly due to short follow-up. However, on multivariate analysis obesity did have a negative impact on overall survival.

6614 Background: CDKN2A locus on chromosome 9p21 is implicated in altered molecular pathways leading to leukemogenesis as a tumor suppressor by inhibiting the proliferative kinases CDK4/CDK6 and blocking the cell-cycle division during G1/S phase. Deletion of CDKN2A locus is frequently seen in ALL, although prognostic significance remains unclear. Methods: Retrospective chart review at Mayo Clinic between 8/2005-11/2011 was performed on adult B-ALL patients (pts) who underwent fluorescent in situ hybridization (FISH) studies at diagnosis. Survival estimate was calculated using Kaplan-Meier statistics. Event-free survival (EFS) was defined as time between diagnosis and induction failure, relapse, or death, while overall survival (OS) as time between diagnosis and death Results: Out of 27 pts who had FISH studies for CDKN2A, 15 (56%) pts had CDKN2A deletions (8 homozygous/7 hemizygous), while 12 (44%) pts had diploid cytogenetics (none had abnormalities of MLL, bcr/abl fusion or CDKN2A deletion on FISH). There was no significant difference in median age, gender, WBC, hemoglobin, platelet count, LDH or complete remission (CR) rate (p=0.924) between the two groups. CDKN2A-deleted pts had higher circulating blasts (34% vs 16%, p=0.017). Of 13 CDKN2A-deleted pts, chromosome 9p was intact in 9 (69%) pts using routine cytogenetics. In the CDKN2A-deleted group, allogeneic stem cell transplant (ASCT) was performed in 7 (47%) pts at first CR and 1 at second CR. Four of 15 (27%) CDKN2A-deleted pts also had bcr/abl fusion. Five-year EFS was poorer in CDKN2A-deleted pts compared to normal FISH group (22% vs 60%, p=0.042), while 5-year OS was 72% vs 60% (p=0.308), respectively. Excluding the 4 bcr/abl fusion pts, 5-year EFS was still statistically significant (p=0.008). In the CDKN2A deleted group, both 5-yr EFS (80% vs 0%, p=0.006) and OS (100% vs 42%, p=0.016) were significantly superior in pts who received ASCT. Conclusions: CDKN2A deletions predict earlier relapse in pts with B-ALL. Majority of 9p abnormalities were only found by FISH testing and missed by conventional cytogenetics. In CDKN2A deleted pts, ASCT gave overall survival advantage. Further investigation through larger cohorts of pts is needed to validate these findings.

Introduction: Hypomethylating agents (HMAs) such as decitabine (DEC) or azacitidine (AZA) are FDA approved therapies for patients with different myeloid malignancies as single agent or in combination with venetoclax. Both DEC and AZA require IV infusion for 1 hour or subcutaneous (SC) injections daily for 5-7 days of every 28-day treatment cycle. They both have limited oral bioavailability due to rapid degradation by cytidine deaminase (CDA) in the gut and liver. An orally bioavailable HMA option could reduce clinic visit frequency and reduce infusions/injections related adverse events and burden. ASTX727 is an oral tablet comprised of a fixed-dose combination (FDC) of CDA inhibitor cedazuridine (C) at 100 mg with DEC at 35 mg. In a phase 2 study, C-DEC (ASTX727) demonstrated pharmacokinetic (PK) AUC exposure similar to IV-DEC at 20mg/m2 with comparable clinical activity and safety (Garcia-Manero, et al, 15th Int'l MDS Symposium, 2019). We describe here the results of a phase 3 study designed to demonstrate exposure bioequivalence of oral C-DEC and IV-DEC and generate clinical data using C-DEC in a larger population (ASCERTAIN study). Methods: The study used a randomized cross over design where patients were randomized 1:1 to either Sequence A: C-DEC (100 mg/35 mg respectively) in Cycle 1 followed by IV-DEC at 20 mg/m2 in Cycle 2, or Sequence B receiving IV-DEC in Cycle 1 followed by C-DEC on Cycle 2 to compare PK (primary endpoint AUC equivalence over 5 days of dosing) and pharmacodynamic (PD) of DNA demethylation using LINE-1 assay. All patients received C-DEC in all subsequent cycles from Cycle 3 onwards until treatment discontinuation to study clinical efficacy and safety of C-DEC. Patients were eligible as per the FDA-approved label (MDS IPSS Intermediate [Int]-1,-2 or high risk[HR] and CMML patients). Clinical responses were assessed by an independent expert panel according to International Working Group (IWG) 2006 response criteria. Adverse events (AEs) were graded by Common Terminology Criteria for Adverse Events (CTCAE) v 4.03. Results: 138 patients were randomized, of whom 133 were treated with median age of 71.0 years (range 44-88), median weight was 83.1 kg (range 45-158), and median BSA was 1.99 m2 (range 1.4-2.9 m2). The IPSS status of the patients were Int-1 in 44%, Int-2 in 20%, and HR in 16%, and 12% of pts had CMML. Patients in the two arms were well balanced regarding cytogenetic risk, baseline hemoglobin, neutrophils, platelets, or red blood cell or platelet transfusion dependence. For the primary end point, the decitabine AUC0-24 (h*ng/mL) 5-Day geometric mean estimate was 856 from the C-DEC and 865 from IV-DEC resulting in an oral/IV AUC ratio of 98.9% (90% CI of 92.7-105.6%). All sensitivity and secondary exposure analyses confirmed the primary results. Comparison of hypomethylating activity as measured by LINE-1 demethylation showed difference between oral C-DEC and IV-DEC demethylation of <1% and the 95% CI of the difference included zero. Safety findings were consistent with those anticipated for IV-DEC (related Grade ≥ 3 AEs in more than 5% were thrombocytopenia, neutropenia, anemia, febrile neutropenia, and leukopenia). As of the data cutoff, median follow up was 5.2 months ( IQR 3.5-8.0) with 101 patients evaluable for response . Preliminary response analysis of all evaluable patients showed best responses of complete response (CR) in 12 patients (11.9%), marrow (m)CR in 46 (45.5%) including 14 patients (13.9%) with mCR + hematological improvement (HI), hematologic improvement (HI) in 7 (6.9%) resulting in an objective response rate (CR+mCR+ HI) in 65 patients (64%). In addition, of all 133 treated patients, 16 patients (12%) underwent hematopoietic cell transplant. Updated response data will be presented at the meeting. Summary/Conclusions: This randomized phase 3 study demonstrates that C-DEC, the oral FDC of cedazuridine/decitabine (100 mg/35 mg) resulted in an equivalent DEC exposure to IV-DEC at 20 mg/m2 over 5 days. Safety findings are consistent with those anticipated with IV-DEC with no clinically significant GI toxicity. Preliminary clinical activity is also consistent with published data from IV-DEC. C-DEC is an oral HMA alternative to IV-DEC. Combination studies with other oral agents are being planned. Disclosures Garcia-Manero: Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Griffiths:New Link Genetics: Consultancy; Astex Phramaceuticals/Otsuka Pharmaceuticals: Consultancy, Research Funding; Persimmune: Consultancy; Boston Scientific: Consultancy; Genentech, Inc.: Research Funding; Genentech, Inc.: Research Funding; Novartis Inc.: Consultancy; Novartis Inc.: Consultancy; Partner Therapeutics: Consultancy; Astex Phramaceuticals/Otsuka Pharmaceuticals: Consultancy, Research Funding; Onconova Therapeutics: Other: PI on a clinical trial; Celgene, Inc: Consultancy, Research Funding; Abbvie, Inc.: Consultancy; Celgene, Inc: Consultancy, Research Funding; Persimmune: Consultancy; Partner Therapeutics: Consultancy; Boston Scientific: Consultancy; New Link Genetics: Consultancy; Onconova Therapeutics: Other: PI on a clinical trial; Abbvie, Inc.: Consultancy, PI on a clinical trial; Appelis Pharmaceuticals: Other: PI on a clinical trial; Appelis Pharmaceuticals: Other: PI on a clinical trial. Yee:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Zeidan:Ariad: Honoraria; Acceleron Pharma: Consultancy, Honoraria, Research Funding; Celgene Corporation: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; Otsuka: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Medimmune/AstraZeneca: Research Funding; Astellas: Honoraria; Seattle Genetics: Honoraria; Cardinal Health: Honoraria; Novartis: Honoraria; Agios: Honoraria; Daiichi Sankyo: Honoraria; BeyondSpring: Honoraria; Boehringer-Ingelheim: Consultancy, Honoraria, Research Funding; Trovagene: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; ADC Therapeutics: Research Funding; Jazz: Honoraria. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Dao:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Patel:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Dava Oncology: Honoraria; France Foundation: Honoraria. Sabloff:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTX: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi Canada: Research Funding; Actinium Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees; Pfizer Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas Pharma Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees. Keating:Sanofi: Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria. Fazal:Janssen: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Gilead: Consultancy, Honoraria, Speakers Bureau; Pfizer: Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Jazz: Consultancy, Honoraria, Speakers Bureau; Celgene: Speakers Bureau; Karyopharm: Honoraria, Speakers Bureau. Odenike:AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen Oncology: Research Funding; Astra Zeneca: Research Funding; Gilead Sciences: Research Funding; Agios: Research Funding; CTI/Baxalta: Research Funding; Astex Pharmaceuticals: Research Funding; Incyte: Research Funding; NS Pharma: Research Funding; Oncotherapy: Research Funding. DeZern:Astex Pharmaceuticals, Inc.: Consultancy; Celgene: Consultancy. O'Connell:Astex: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Shionogi: Membership on an entity's Board of Directors or advisory committees. Roboz:Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: 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; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees; Otsuka: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Trovagene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sandoz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Eisai: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celltrion: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Actinium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amphivena: Consultancy, Membership on an entity's Board of Directors or advisory committees; Argenx: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astex: Consultancy, Membership on an entity's Board of Directors or advisory committees. Oganesian:Astex Pharmaceuticals, Inc.: Employment. Hao:Astex Pharmaceuticals, Inc.: Employment. Keer:Astex Pharmaceuticals, Inc.: Employment. Azab:Astex Pharmaceuticals, Inc.: Employment. Savona:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Patents & Royalties; Sunesis: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees.

Background: Relapse remains the most common cause of treatment failure after intensive induction and consolidation (CONS) therapy in older adults with AML. We therefore performed a prospective randomized phase II study to determine the safety and impact on DFS (relapse or death) and OS of DAC maintenance using an abbreviated 3-day schedule administered every 4 weeks for 1 year (per Lubbert et al, Haematologica 97:393, 2012) vs. Observation (OBS) after intensive AML therapy, conducted in the large multi-center E-A E2906 Phase III trial in patients (pts) age ≥60 yrs. Methods: The design and primary clinical results for E2906 (n=727) have been reported previously (Foran et al, ASH #217a, 2015), demonstrating superior OS following 'Standard' 7&3 (Daunorubicin 60mg/m2) induction and intermediate dose Ara-C consolidation (CONS) vs. single agent Clofarabine (CLO, provided by SANOFI), despite similar CR/CRi (CR with incomplete CBC recovery) and induction mortality rates. All CR/CRi pts after induction (n=311) were assigned to 2 cycles CONS with either Ara-C (1.5g/m2 x 12 doses; 6 doses if age >/=70 yrs), or single agent CLO, based on induction randomization. Ongoing CR/CRi after recovery from CONS was confirmed with restaging BM biopsy, and eligible pts offered participation in the 'Step 3' maintenance study, a 1:1 randomization (stratified by induction therapy, cytogenetic risk group, age <70 yrs) to either OBS vs. DAC (20mg/m2IV Days 1-3, q4 wks) for 1 year. DAC could be held for up to 4 weeks for delayed hematologic recovery, but dose reductions were not permitted per protocol, and DAC was not continued beyond 12 months. Patients in both arms were evaluated with CBC q4 weeks for 1 year, and surveillance BM biopsy every 3 months (or at the time of suspected clinical relapse) for 2 years. 'Step 3' was designed as a phase II pilot randomized study, with target accrual n=172, allowing 90% power to detect 36% reduction in DFS Hazard Ratio (HR) with DAC maintenance for 1 year (using protocol-specified 1-sided log-rank test significance level of 0.1), assuming 140 events & 2 years of follow-up from randomization. However, further accrual to E2906 was suspended in 2/2015 by independent DSMC due to superior OS observed with standard Arm, so that 'Step 3' completed only 70% of target accrual. P-values reported are two-sided by convention unless specified otherwise. Results: 'Step 3' total accrual was n=120 (of 172 planned) (DAC 61, OBS 59), with median age 69 yrs (range 60-85), and groups were very well balanced for baseline clinical characteristics; most pts had Intermediate risk cytogenetics (74.2%) and ECOG performance status (PS)=0/1 (96%). The median number of DAC cycles received was 6 (range 0-13), and analysis was 'intention-to-treat'. The median follow-up is 49.8 months. There were 90 DFS events (47 OBS, 43 DAC), with 82 deaths (46 OBS, 36 DAC). Univariate DFS and OS are shown in Figure, with associated two-sided p-values; using protocol-prespecified one-sided significance level of 0.1, OS was significant (one-sided p=0.06) for DAC v. OBS, and there was a statistical trend favoring DFS (one-sided p=0.11), particularly for CLO pts (Table). We also performed multivariate Cox model (after adjustment for ECOG PS, sex, secondary AML, and baseline hematologic parameters) which confirmed superior HR for DFS (one-sided p=0.10) & OS (one-sided p=0.07), per statistical design. FLT3-ITD status is available for n=96 pts, and 84 were FLT3-ITD-negative (46 OBS, 38 DAC). Importantly, we observed a significant association of DAC maintenance with superior OS in the large FLT3-ITD-neg subgroup (p=0.039) (Figure). DAC was generally well tolerated apart from grade 3 febrile neutropenia (9%) and reversible grade 4 cytopenias, with no grade 5 events. Conclusions: In this randomized phase II study, DAC maintenance for 1 year after intensive AML therapy was associated with improved HR for OS and a trend for DFS, using protocol-specified statistical design. Furthermore there was a significant impact on OS for the FLT3-ITD-negative population. We acknowledge limitations based on incomplete accrual due to early termination of the parent E2906 study, and inherent to the phase 2 design of this E2906 endpoint, but results suggest an important impact of DAC maintenance on survival. These data strongly support a definitive phase III randomized study of DAC maintenance, particularly focused on the large intermediate risk FLT3-ITD-negative subgroup. Disclosures Foran: Agios: Honoraria, Research Funding. Claxton:Daiichi Sankyo Co. and Ambit Biosciences Corp, Astellas Pharma, Novartis Pharmaceuticals, Incyte Corporation, Cyclacel Pharmaceuticals, Inc, Celegene Corporation, Medimmune, Inc, Merck Sharp & Dohme Corp., Gilead Sciences, Inc.: Research Funding. Lazarus:Pluristem Therapeutics, Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Speakers Bureau; Genentech: Speakers Bureau; Biosight: Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Adaptive Biotechnologies: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Honoraria, Speakers Bureau; Teva Pharmaceuticals: Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CSL Behring: Consultancy. Rowe:BioSight: Consultancy. Altman:Cancer Expert Now: Consultancy; Glycomimetics: Consultancy, Honoraria, Other: Data Safety and Monitoring Committee; prIME Oncology: Speakers Bureau; PeerView: Speakers Bureau; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Theradex: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; France Foundation: Speakers Bureau; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Biosight: Other: US Lead. Luger:Ariad: Research Funding; Agios: Honoraria; Biosight: Research Funding; Seattle Genetics: Research Funding; Pfizer: Honoraria; Onconova: Research Funding; Kura: Research Funding; Jazz: Honoraria; Genetech: Research Funding; Daichi Sankyo: Honoraria; Cyslacel: Research Funding; Celgene: Research Funding. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Zheng:Pfizer: Research Funding. Pratz:AbbVie: Consultancy, Research Funding; Agios: Consultancy, Research Funding; Millenium/Takeda: Research Funding; Boston Biomedical: Consultancy; Astellas Pharma: Consultancy, Research Funding. Powell:Jazz Pharmaceuticals: Consultancy, Research Funding, Speakers Bureau; Pfizer: Consultancy, Research Funding; Janssen: Research Funding; Novartis: Consultancy, Speakers Bureau; Rafael Pharmaceuticals: Consultancy, Research Funding. Tallman:Tetraphase: Consultancy, Membership on an entity's Board of Directors or advisory committees; Nohla: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Rigel: Consultancy, Membership on an entity's Board of Directors or advisory committees; Delta Fly Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Biosight: Research Funding; KAHR: Consultancy, Membership on an entity's Board of Directors or advisory committees; Orsenix: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioLineRx: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; UpToDate: Patents & Royalties; Cellerant: Research Funding; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncolyze: Consultancy, Membership on an entity's Board of Directors or advisory committees. Off Label Disclosure: Use of maintenance Decitabine in AML

Background: Heterozygous somatic mutations in the genes encoding RNA splicing factors SF3B1, U2AF1, SRSF2 or ZRSR2 induce aberrant splicing in cancer cells and are among the most common mutations in patients with MDS, AML or CMML. H3B-8800 is an orally available small molecule that binds to the SF3b complex and induces alternative splicing changes in cells. Because splicing factor mutant cells depend on residual wild-type function of splicing factors for survival, we hypothesized that H3B-8800 would induce preferential cell killing of mutant cells by further perturbing splicing to synthetic lethality. In pre-clinical models, H3B-8800 preferentially kills spliceosome mutant cells and induces antitumor activity in xenograft leukemia models with core spliceosome mutations (Seiler M et al Nature Medicine 2018). Therefore, we conducted a phase I clinical trial (NCT02841540) of H3B-8800 in patients with MDS, AML or CMML. Here we describe the safety profile and clinical outcomes of the dose escalation cohorts in this phase I trial. Methods: This phase I trial explored the safety, pharmacokinetics (PK), and pharmacodynamics (PD) of H3B-8800 in patients with myeloid cancers. Dose escalation cohorts, employing a standard 3+3 design, examined 2 different once daily dosing regimens (schedule I: 5 days on/9 days off; schedule II: 21 days on/7 days off) in a 28-day cycle, with stratification based on lower-risk (LR) versus higher-risk (HR) myeloid neoplasms. Results: As of June 16th, 2019, 84 patients were enrolled at 24 centers in the US and Europe. Dose ranged from 1-40 mg among 65 patients on schedule I, while 19 patients were enrolled with dose ranging from 7-20 mg on schedule II. The patient population included AML (n=38), CMML (n=4), HR-MDS (n=20), LR-MDS (n=21) and 1 MDS with unknown risk level. Most patients (88%) had spliceosome mutations of interest. The most common mutations were in SRSF2 (p.P95H in 17, p.P95L in 9, p.P95_R102Del in 4), SF3B1 (p.K700E in 11, p.R625C in 4), and U2AF1 (p.Q157P in 6, p.S34F in 4). Patients remained on treatment from 7 to 819 days; 25 patients (30%) had time on treatment greater than 180 days, 20% more than 1 year and 2% over 2 years. The median therapy duration for LR-CMML/MDS, HR-CMML/MDS, and AML patients were 216, 62, and 47 days respectively. Most observed treatment related treatment-emergent adverse events (TEAEs) were Grade 1 or 2. The most common treatment-related (as judged by the investigator, >10% frequency) TEAEs in the patients treated on schedule I were diarrhea (75%), nausea (37%), fatigue (28%) and vomiting (27%). The most common treatment-related TEAEs in the patients treated on schedule II were diarrhea (68%), vomiting (42%), QTc prolongation (21%), nausea (16%), and fatigue (16%). The most common dose limiting toxicity was prolongation of the QTcF interval >500 msec (n=2, 40 mg on schedule I and n=1, 20 mg on schedule II, all ≥Grade 3) and bradycardia without other arrhythmias (n=1, 14 mg on schedule II, ≥Grade 3). No ophthalmic AEs were observed; 1 patient (LR-MDS) experienced durable marrow aplasia. The maximum tolerated dose (MTD) has not been confirmed for either Schedule I or Schedule II. PK analysis indicates that H3B-8800 is rapidly absorbed and exhibits dose-proportional increase in plasma exposure. Consistent dose-dependent target engagement (i.e., alteration in mature mRNA transcripts) was observed in blood mononuclear cells from patients enrolled in the 2 mg up to 40 mg dose cohorts on both schedules. Despite this splicing modulation, no objective complete responses (CR) or partial responses (PR) meeting International Working Group criteria were observed. One patient with CMML had a durable platelet response that began in Cycle 1 and persisted through Cycle 13. Nine red blood cell (RBC) transfusion-dependent patients with MDS or CMML and 2 patients with AML did not require RBC transfusions for ≥8 weeks (up to 28 weeks) while on study. One platelet transfusion-dependent patient with LR-MDS did not require platelet transfusions for ≥8 weeks. Conclusion: Results from this first-in-human multicenter prospective clinical trial of a splicing modulator in myeloid neoplasms demonstrate dose-dependent target engagement and predictable PK profile of H3B-8800, and safety even with prolonged dosing. Although no objective CR or PR were achieved, decreased RBC or platelet transfusion requirements were observed in 12 (14%) of enrolled patients. Disclosures Steensma: H3 Biosciences: Other: Research funding to institution, not investigator.; Pfizer: Consultancy; Aprea: Research Funding; Stemline: Consultancy; Arrowhead: Equity Ownership; Summer Road: Consultancy; Astex: Consultancy; Onconova: Consultancy. Wermke:Novartis: Honoraria, Research Funding. Greenberg:Notable Labs: Research Funding; Celgene: Research Funding; Genentech: Research Funding; H3 Biotech: Research Funding; Aprea: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees. Font:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Komrokji:Agios: Consultancy; JAZZ: Speakers Bureau; DSI: Consultancy; JAZZ: Consultancy; Incyte: Consultancy; Novartis: Speakers Bureau; celgene: Consultancy; pfizer: Consultancy. Yang:Agios: Consultancy; AstraZeneca: Research Funding. 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. Ades:Agios: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Silence Therapeutics: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Helsinn Healthcare: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Coombs:H3 Biomedicine: Research Funding. Foran:Agios: Honoraria, Research Funding. Garcia-Manero:Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Amphivena: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Micol:AbbVie: Consultancy; Jazz Pharmaceuticals: Consultancy. Perez De Oteyza:Celgene: Speakers Bureau. Wang:Abbvie: Other: Advisory role; Kite: Other: Advisory role; Jazz: Other: Advisory role; Astellas: Other: Advisory role, Speakers Bureau; celyad: Other: Advisory role; Pfizer: Other: Advisory role, Speakers Bureau; Stemline: Other: Advisory role, Speakers Bureau; Daiichi: Other: Advisory role; Amgen: Other: Advisory role; Agios: Other: Advisory role. Watts:Pfizer: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees. Buonamici:H3 Biomedicine: Employment. Kim:H3 Biomedicine: Employment. Gourineni:H3 Biomedicine: Employment. Marino:H3 Biomedicine: Employment. Rioux:H3 Biomedicine: Employment. Schindler:H3 Biomedicine: Employment. Smith:H3 Biomedicine: Employment. Yao:H3 Biomedicine: Employment. Yuan:Eisai: Employment. Yu:H3 Biomedicine: Employment. Platzbecker:Abbvie: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. OffLabel Disclosure: H3B-8800 (experimental, unapproved)

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 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 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.