Finn, Laura

INTRODUCTION: Luxeptinib (CG-806; LUX) is an orally active noncovalent kinase inhibitor of Bruton's tyrosine kinase (BTK), wild type and mutant forms of Fms-like tyrosine kinase 3 (FLT3) (including the internal tandem duplicates (ITD), tyrosine kinase domain (TKD), and F691L mutant forms), and growth receptors like KIT, CSF1R, PDGFRα, and TRKs. In prior studies, LUX has been shown to suppress aberrant proliferative signaling in B cell malignancies and acute myeloid leukemia (AML) via regulation of BTK, LYN, SYK, AKT, ERK, and MAPK. LUX is cytotoxic to primary AML cells insensitive to other FLT3 inhibitors and to malignant B-cells insensitive to ibrutinib, at pM and nM concentrations, respectively. AIMS: The primary objectives of these studies are to assess the safety, tolerability, and pharmacokinetics (PK) of LUX and determine recommended phase 2 doses for relapsed or refractory (R/R) AML and B cell malignancy patients. METHODS: In two studies (NCT04477291; NCT03893682), LUX (original formulation, G1) was administered continuously as oral capsules BID in 28-day cycles of ascending cohorts (relapsed or refractory de novo, secondary, or therapy-related AML or higher risk myelodysplastic syndrome (MDS), and relapsed and refractory for B cell lymphoma and chronic lymphocytic/small lymphocytic leukemia). A novel generation 3 (G3) formulation of LUX designed to increase bioavailability was tested at a single-dose (sub-study) for relative bioavailability (RBA), followed by continuous dosing in subsequent R/R AML patients. RESULTS: In the B-cell study (as of 15 th May 2023), LUX has been administered to 36 patients at dose levels from 150 mg to 900 mg BID in patients with a median of 3 lines of prior treatment, with 47.2% having received a BTK-inhibitor. Only one (2.8%) patient had a DLT of hypertension and 14 (38.9%) experienced at least one drug related ≥Grade3 treatment emergent adverse event (TEAE). Two patients (900 mg) are currently on study with no DLT and no ≥Grade 3 related TEAEs. A Follicular lymphoma patient is at cycle 28, and achieved a best response as partial response (PR) with a decrease in lesion size of 76.2%; an SLL patient is at cycle 13, and achieved stable disease (SD) showing a decrease in lesion size of 43.1% (Figure A). The overall best response achieved among the 17 patients who have been on treatment for more than 12 weeks are stable disease (SD) (n=11), partial response (PR) (n=3), minor response (n=2) and complete response (CR) (n=1). As of 5 th June 2023, in the AML trial, a total of 40 patients (16 (40%) FLT3-ITD, 21 (52.5%) FLT3-WT, 2 (5.0%) FLT3-TKD, and 1 (2.5%) unknown mutations) with a median of 3 prior treatments (range, 1 - 10) have been treated with LUX G1 formulation at dose levels from 450 mg - 900 mg BID (n=34) or with 50 mg BID of G3 formulation (n=6). Four (10%) experienced drug related SAE and 7 (17.5%) had a drug related grade ≥3 TEAEs. The most common related TEAEs were lymphocyte count decrease, platelet count decrease, and anemia (n=2; 5% patients each). One (2.5%) patient at 450 mg dose, reported complete remission without minimum residual disease (CRmrd) and remained on study for 56 weeks. In the RBA sub-study, G3 (50 mg) produced comparable exposures to G1 (450-900 mg range) (Figure B) and was, therefore, selected as the starting dose for use in the R/R AML study. Six patients were treated with a continuous dosing of 50 mg BID G3; with plasma levels of 274 ng/mL and 195 ng/mL LUX observed by the end of C1D15 and C1D22 respectively. No drug related Grade ≥3 TEAEs or DLTs were observed in 50 mg BID G3 LUX treated patients; with no new safety signals observed for the G3 formulation. Based on these findings and expected exposures for higher dose levels, the cohort safety review committee has approved escalation of G3 dosing to 200 mg BID at which dosing is ongoing. CONCLUSIONS: LUX has a favorable safety profile in patients at all tested dose levels, for multiple cycles, for both studies. Antitumor activity was observed in a heavily pretreated relapsed AML patient and in multiple B-NHL subtypes and CLL/SLL patients including several with prior ibrutinib exposure. Continuous dosing of patients with R/R AML and Higher-Risk MDS with the G3 formulation is ongoing; with updated clinical data (200 mg dose level) to be presented at the meeting.

Abstract TMB is used to guide PD-1-directed immunotherapy in solid tumor Oncology. However, it has not been systematically studied in AML, where the focus has been on cytogenetic risk and individual driver gene mutations (GM's). TMB contribution to AML epidemiology is also uncertain. We therefore studied its association with epidemiologic risk factors; driver GM's and somatic mutations (SM's) in AML risk genes which we recently demonstrated (ABCB1; CYP1A1; CYP2B6; EPHX1; ERCC1,2,& 5; MEFV; MTRR; and TERT); clinical and cytogenetic features; and outcome after therapy in the MCAEC, a highly annotated clinical epidemiology cohort of consecutive AML pts [Finn, Cancer Epidemiol 39:1084, 2015]. Methods: We obtained somatic leukemia DNA from remnant diagnostic cytogenetic pellets in 98 MCAEC patients (pts), as previously described [Foran, Blood (2017) 130:570a]. Whole exome sequencing (WES) was performed at depth of ~100 million paired end 100bp reads using Agilent SureSelectXT Human All Exon V5 + UTRs target enrichment kit. Reads were mapped to human genome build hg19 using BWA-MEM. Single nucleotide variants (SNVs) and small INDELs were identified using Mayo Clinic (MC) analytic pipeline GenomeGPS 4.0.1 following Broad GATK variant discovery best practices of alignment, realignment and recalibration, and multi-sample joint genotyping; and filtered using both germline whole exome and genome sequencing of ~1200 MC Biobank samples and public germline variant databases of 1000 genome project, 6500 individuals in exome sequencing project, and HapMap phase 3. Remaining variants were annotated using ANNOVAR, and functional variants of non-synonymous, truncating, frame-shift, and splice-sites were used in the statistical association analyses. TMB was defined as the number of functional mutations per Mb of coding region, heterozygous or homozygous. TMB associations with epidemiologic risk, clinical characteristics, and SM's in AML risk genes (listed above) or driver GM's (occurring in 5 or more pts: ASXL1, BCOR, CEBPA, DNMT3A, FLT3, IDH2, KRAS, MLL2-5, NF1, NPM1, NRAS, PHF6, RUNX1, SF3B1, STAG2, TET2, TP53, U2AF1) were evaluated using linear regression models; a rank transformation of TMB was utilized due to its skewed distribution. Multivariable analysis (MVA) models were adjusted for variables with p-value <0.05 in unadjusted analysis. Regression coefficients ("β") were estimated, interpreted as change in mean TMB rank for specified variables or characteristic. Associations with outcomes were examined using logistic regression or Cox proportional hazards regression models. All statistical tests were two-sided (version 3.6.2; R Foundation for Statistical Computing, Vienna, Austria). Results Median age at AML diagnosis was 70 yrs (Range: 19-94 yrs), and 67 pts were male. Cytogenetic risk group was favorable (7%), intermediate-normal (46%) or abnormal (20%), and poor risk (27%). 40/61 pts (66%) achieved complete remission (CR). With a median follow-up of 8.0 months (Range: 0.1 - 186), 80 pts (82%) died and 20 (20%) underwent allogeneic transplantation (AlloBMT). Median TMB was 18.2 (Range: 15.0-70.1). In MVA, significant associations with increased TMB were observed in pts with history of prior immunosuppressive therapy or solid organ transplantation (β=19.48, P=0.015), and with FLT3 (β=21.12, P=0.015), MLL2 (β=20.91, P=0.001), and MLL3 (β=11.31, P=0.031) GM's. A borderline association was observed for U2AF1 (β=16.14, P=0.057). TMB was also associated with SM's in TERT (β=25.13, P=0.028); a borderline association with SM's in ABCB1 was not confirmed in MVA (β=-17.98, P=0.069). Additionally, cytogenetic risk group was associated with TMB in MVA (P=0.005), being highest in intermediate-normal and lowest in poor risk groups. Body Mass Index was inversely associated with TMB (unadjusted β=-16.99, P=0.005), but unconfirmed in MVA (β=-8.29, P=0.12). There was no association with CR (OR=0.93, P=0.46), use of (HR=0.96, P=0.64) or relapse risk (HR=1.00, P=0.98) following AlloBMT, or survival (HR=0.97, P=0.56) (Figure). Conclusions Measurement of TMB is feasible in this AML epidemiologic cohort, and we observed important associations with AML risk factors, risk gene SM's, cytogenetic risk group, and driver GM's. We acknowledge the relatively small sample size and possibility of type II error, and therefore these observations require validation in a large prospective cohort which is planned. Figure 1 Figure 1. Disclosures Foran: OncLive: Honoraria; certara: Honoraria; actinium: Research Funding; boehringer ingelheim: Research Funding; novartis: Honoraria; abbvie: Research Funding; servier: Honoraria; taiho: Honoraria; pfizer: Honoraria; revolution medicine: Honoraria; gamida: Honoraria; takeda: Research Funding; sanofi aventis: Honoraria; trillium: Research Funding; syros: Honoraria; aptose: Research Funding; bms: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Murthy: CRISPR Therapeutics: Research Funding. Finn: Jazz: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau; BeiGene: Consultancy, Speakers Bureau; ADC Therapeutics: Consultancy, Speakers Bureau. Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Cerhan: Celgene/BMS: Other: Connect Lymphoma Scientific Steering Committee, Research Funding; Genentech: Research Funding; NanoString: Research Funding; Regeneron Genetics Center: Other: Research Collaboration.

Introduction: Population studies have identified genes with germline polymorphisms associated with acute myeloid leukemia (AML) risk and outcome. However, somatic mutations in these genes have not been reported in an AML clinical population and whether they are associated with epidemiologic exposures, clinical AML phenotypes and outcome after therapy. Methods: We systemically interrogated PubMed database (1998-2018), to identify genes with germline polymorphisms associated with AML risk, response to chemotherapy or outcome. To determine the prevalence and relevance of somatic mutations in these genes in an unselected AML population, we performed an analysis using Whole-Exome Sequencing (WES) on remnant diagnostic cytogenetic pellets from 98 patients from the Mayo Clinic AML Epidemiology Cohort, a detailed and highly-annotated cohort of 295 consecutive AML patients treated at Mayo Clinic Florida & Arizona between October, 2000 and December, 2011. Patient characteristics are shown in Table 1. Samples were sequenced at a depth of ~100 million paired-end 100bp reads using Agilent SureSelectXT Human All Exon V5 + UTRs target enrichment kit. Sequencing reads were aligned to human reference genome, and somatic mutations including non-synonymous and truncating single nucleotide variants and small INDELs were identified and filtered using Exome Sequencing Project, 1000 genome, HapMap, & Mayo Clinic internal biobank genetic variants database. Copy number aberrations were identified & filtered using public copy number polymorphism databases. The association analyses were performed at the gene level, with a primary endpoint of whether a given patient harbored a somatic mutation in any genes linked to AML risk or outcome in literature, and to determine the associations of these mutations with epidemiologic exposures, AML phenotype and clinical outcomes. Results: From the literature search, we identified 77 unique genes with known germline polymorphisms associated with AML risk, response to chemotherapy or outcome. Fifty-eight of these were found to be somatically mutated in our WES dataset, with subsequent analysis focusing on the 11 genes (ABCB1, CYP1A1, CYP2B6, EPHX1, ERCC1, ERCC2, ERCC5, JAK2, MEFV, MTRR, and TERT) that had greater than 5 patients with nonsynonymous somatic mutations in the given gene. Significant associations with epidemiologic exposures and outcomes were noted in patients with somatic mutations in ERCC2, CYP1A1 and ERCC5 genes. Table 2 shows a comparison of patient characteristics and associations according to the presence of somatic mutations in these genes. Patients with mutations in CYP1A1 had a significantly younger age at AML diagnosis (Median: 51.7 vs. 71.0 years, P=.02) and significantly shorter OS in age-adjusted analysis (HR=4.45, P=.003). The former is a novel finding, whereas the latter is consistent with previous reports. Patients with mutations in ERCC2 more commonly used statins (66.7% vs. 21.7%, P=.03). Patients with ERCC5 mutations had a lower rate of tobacco use (20.0% vs. 54.5%, P=.049). In unadjusted analysis, there was a significant association between presence of somatic mutations in JAK2 and poorer survival after AML diagnosis (HR=2.83, P=.017), but this attenuated and did not retain significance when adjusting for age at AML diagnosis (HR=2.22, P=.067). Conclusion: Our exploratory study describes a novel association of CYP1A1 somatic nonsynonymous mutations with age of AML onset, as well as novel associations of ERCC2 and ERCC5 mutations with epidemiologic exposures in an unselect cohort of patients with AML. We confirm the association of CYP1A1 with inferior overall survival after AML diagnosis. These findings suggest that some genes associated with AML risk may also harbor somatic mutations that are clinically relevant. These results will guide a planned confirmatory prospective study to determine frequency and impact of both germline and somatic mutations of risk genes in AML patients, and may contribute to a better understanding leukemia risk assessment and potentially to prevention strategies. Disclosures Finn: Jazz Pharmaceuticals: Speakers Bureau; Celgene: Speakers Bureau; Seattle Genetics: Speakers Bureau. Cerhan:BMS/Celgene: Research Funding; NanoString: Research Funding. Foran:Revolution Medicine: Consultancy; Servier: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Research Funding; H3Biosciences: Research Funding; Xencor: Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Agios: Honoraria, Research Funding.

7021 Background: Case-control studies (CCS) have identified germline variants (GVs) & genes associated with AML risk and/or outcome. However, whether these genes also harbor somatic mutations (SMs) in AML and whether these SMs are associated with clinical phenotypes and outcome is unknown. We systemically interrogated PubMed (terms "AML genetic polymorphisms"), yielding 612 reports (1981-2018), from which we identified unique variants/single nucleotide polymorphisms (SNPs) in 100 genes associated with AML risk and/or outcome in CCS. To determine the prevalence and relevance of SMs in these genes in an unselected AML population, we performed an analysis using WES of cases in the highly-annotated MCAEC (Finn, Ca Epidemiol 2015). Methods: We performed WES using remnant cytogenetic pellets from AML diagnosis in 98 MCAEC patients with available samples, sequenced at a depth of ~100 million paired-end 100bp reads using Agilent SureSelectXT Human All Exon V5 + UTRs target enrichment kit. Sequencing reads were aligned to human reference genome, and SMs including non-synonymous (NS) and truncating single nucleotide variants (SNVs) and small INDELs were identified and filtered using Exome Sequencing Project, 1000 genome, HapMap, & Mayo Clinic (MC) internal Biobank GV database. Copy number aberrations (CNAs) were identified & filtered using public CN polymorphism databases. For this analysis we evaluated the prevalence of somatic SNVs, INDELs, & CNAs in the 100 nominated genetic risk genes in collaboration with MC Cancer Center to determine their association with clinical phenotype and outcome. Results: Of the 100 unique genes, there were 40 with SM in our dataset, with 126 total mutations. Most were mutated in a very small number of patients, allowing insufficient statistical power to perform association analyses. However, an NS mutation in CYP2B6 (c.785A > G, p.Lys262Arg) had a minor allele frequency of 12.0%; this variant has been reported in association with breast cancer risk, but not with AML. Conclusions: We studied SM’s in AML genetic risk genes using WES of tumor samples. While representing a smaller sample size, this suggests their contribution to AML development may be limited in a broader clinical population. These results & prevalence of the novel CYP2B6 rs2279343 variant in AML must be confirmed in larger cohorts.

7047 Background: In addition to secondary AML (sAML), important lifestyle and environmental exposures associated with increased risk of AML development have been identified in recent case-control studies including obesity (BMI>30kg/m2), smoking, regular acetaminophen use, and rural/farm habitat. The association of these exposures with AML cytogenetic risk groups is unknown. We therefore evaluated relevant exposures in a cohort of 301 AML patients with confirmed central cytogenetics analysis diagnosed and treated at Mayo Clinic FL and AZ since 1995. Methods: Documented patient exposures were extracted from central electronic medical records, including: prior chemotherapy/radiation or hematologic malignancy, occupation, select medications, “toxins” (esp. benzene) and solid organ transplantation (SOT). Standard cytogenetic risk categories (including intermediate abnormal) were applied. The association of epidemiologic exposures with cytogenetic risk was evaluated on multivariable analysis using logistic regression models. Results: sAML was significantly associated with cytogenetic risk groups, as was prior SOT, healthcare occupation, farm habitat and toxin exposures [see Odds Ratios (OR), Table). In contrast, prior radiation for epithelial malignancies, smoking and BMI were not independently associated with specific cytogenetic risk categories. Conclusions: Specific epidemiologic exposures are significantly associated with AML cytogenetic risk categories suggesting a unique clinical phenotype. This supports a link to leukemogenesis and requires validation in a controlled prospective therapeutic study. [Table: see text]

Abstract Background: We previously demonstrated that putative clinical epidemiologic exposures associated with leukemia risk are prevalent among AML patients, and some are associated with unique cytogenetic risk group and with clinical phenotype (Finn, Cancer Epidemiol, 2015). Herein, we studied genome-wide DNA methylation in a cohort of AML patients to evaluate the association of individual hyper- and hypo-methylated CpG sites with epidemiologic exposures and overall survival. Methods: The Mayo Clinic AML Epidemiology Cohort is a highly annotated retrospective case series of 295 consecutive patients (pts) with AML diagnosed and treated at Mayo Clinic Florida and Arizona, with central cytogenetics performed in all cases. The prevalence of clinical epidemiologic exposures, past medical and family history as well as medication use and lifestyle was systematically obtained. After IRB approval, we interrogated the cytogenetic database and successfully obtained leukemia DNA from available remnant diagnostic cytogenetic cell pellets in a cohort of 148 AML patients in the Mayo epidemiology case series and performed an assessment of genome-wide DNA methylation using the Infinium HumanMethylation450K BeadChip. Samples were processed using the R Bioconductor package 'minfi' using Subset Within Array Quantile Normalization (PMID: 22703947). Individual CpGs that did not reach a detection p-value of <0.05 were filtered out. An internal control was included on each array to control for significant batch effects. To determine differential methylation status of 473,864 individual CpG sites (after exclusion of 11,648 that did not pass detection p-value QC), CpG sites with low interpatient variability, a standard deviation <0.05 of methylation values, and an interquartile range <0.05 of methylation values and X/Y chromosome probes were excluded from analysis. Epidemiologic and important clinical variables occurring in at least 10 pts or previously-identified as of unique interest but in fewer than 10 pts were evaluated, including sex, BMI, performance status and comorbidities, tobacco and alcohol use, family history of hematologic malignancy, medications of interest, history of toxin exposure, and history of immunosuppression and/or solid organ transplant or of secondary and therapy-related AML (t-AML). Associations of differential hypo or hypermethylation at 281,259 CpG sites with epidemiologic exposures/clinical variables were evaluated using Spearman's test of correlation (continuous or ordinal exposures), a Wilcoxon rank sum test (dichotomous exposures), or a Kruskal-Wallis rank sum test (multi-category exposures). A Bonferroni correction was applied for multiple testing, after which p <1.8 x 10-7 was considered as significant. To reduce the likelihood of false-negative findings, we additionally considered p <5 x 10-6 as indicating suggestive evidence of an association. CpG sites and associated gene and function was determined using Illumina manifest file & www.ncbi.nlm.nih.gov/gene. Results: Statistically significant associations (p <1.8 x 10-7) with individual epidemiologic and clinical exposures were identified for 109 unique CpG sites, corresponding to differential methylation in the genes listed in Table. Specifically, obesity (predominantly hypomethylation), specific cytogenetic lesions and risk group, and gender were highly significantly associated with unique CpG methylation status, but not smoking, toxin exposure, family history, comorbidity or performance status, secondary or t-AML, immunosuppression, medication use, of family history in the analysis. A further 353 unique CpG sites had defined suggestive associations (ongoing analysis). We also identified 8 additional CpG sites where differential methylation was associated with overall survival (p <5 x 10-6, Table). Conclusion: Obesity, cytogenetic lesions, and sex are associated with differential methylation of unique CpG sites at AML diagnosis, using stringent univariate statistical criteria. Significant CpG sites were identified in genes previously linked to AML biology and prognosis (DOCK6, HOXB3, MIR10A, FOXN3/CHES1, GPX1, MYST2/KAT7, PTPRD), but some represent novel findings in AML. These preliminary results suggest an association of some AML risk factors and clinical variables with unique gene methylation and will undergo validation in a prospective AML epidemiology dataset. Disclosures Cerhan: Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding; Celgene: Research Funding. Foran:Agios: Research Funding; Xencor, Inc.: Research Funding.

Abstract Background: Older patients (pts) with AML unfit for intense induction chemotherapy have a poor prognosis with a 5 year survival of <10%. 225Ac-lintuzumab is composed of 225Ac linked to a humanized anti-CD33 monoclonal antibody. Data were previously presented on the initial 13 pts who received 2.0 µCi/kg/dose on Days 1 and 8 (ASH, 2017, Abstract 616). Although that dose resulted in a high response rate of 69%, there were 6 pts with Grade 4 thrombocytopenia lasting >6 weeks and 5 CRi patients did not reach an ANC of ≥ 500/µL. Therefore, the activity level was reduced to 1.5 µCi/kg/dose for further evaluation. Methods: This study enrolled older pts with untreated AML who were considered to be unfit for standard induction chemotherapy. Pts aged 60 to 74 years were required to have significant co-morbidities, while all pts ≥ 75 years were eligible. Other eligibility criteria included ECOG PS 0-2, CD33 expression on > 25% of blasts, and a peripheral blast count <200/µL within 10 days of the first dose to optimize targeting of bone marrow (BM) blasts. Hydroxyurea was used to lower peripheral blast counts. 1.5 µCi/kg of 225Ac-lin were administered IV on Days 1 and 8. G-CSF was given starting 10 days after the 2nd dose and spironolactone was given for up to 1 year to minimize the risk of radiation-induced nephrotoxicity. Pts were evaluated for the CD33 splicing polymorphism SNP rs12459419. Results: 18 pts were included in this prespecified Interim Analysis. An additional 9 pts were treated at this dose and will be included in an updated analysis at the ASH meeting. The median age of the 18 pts was 73.5 years (range 60-87) and median ECOG Performance Status was 1 (0 in 3 pts, 1 in 9 pts, & 6 in 2 pts). 11 pts had prior AHDs (6 MDS, 2 CMML, 2 NHL, 1 myelofibrosis), and 9 had prior treatment for AHDs. Of the pts with known cytogenetic and molecular genetic results, 1 had favorable-risk, 3 had intermediate-risk, and 5 had adverse-risk AML using NCCN guidelines. The median baseline BM blast % was 40.5% (range, 22-66%) with a median CD33 expression of 62% (range, 26-100%) of AML cells. Objective responses were seen in 4 pts (22%): 3 complete remissions with incomplete platelet count recovery (CRp) and 1 complete remission with incomplete hematologic recovery (CRi). Among the responders with known cytogenetics, 1 pt had adverse genetics and 1 had Intermediate-risk genetics.Of the pts with remission, 3 had CT genotype for the CD33 splicing polymorphism SNP rs12459419 (including 2 CRp) and 1 had CC genotype. 3 of the responders are in follow up at Days 59, 169 and 266 without further treatment. Myelosuppression was seen in all pts including Grade 4 thrombocytopenia with marrow aplasia for > 6 weeks after the first dose in 4 pts. 1 pt with prior MDS had pancytopenia for > 4 months. The 3 pts with CRp achieved an ANC ≥ 1000/µL at Days 28, 38, and 40 from the first dose of 225Ac-lin. The pt with CRi did not reach an ANC of 500/µL. Non hematologic Grade ≥3 Treatment-Emergent adverse events (AEs) that were at least possibly related were 4 patients with febrile neutropenia, as well as 1 patient each with fungal pneumonia, acute respiratory failure, pulmonary edema, chest pain, sepsis, gastric hemorrhage, generalized muscle weakness, atrial fibrillation with rapid ventricular response and typhilitis. No pts had an infusion-related reaction requiring dose interruption. Veno-occlusive disease did not occur. The 30-day mortality rate was 16.7% (1 cardiac arrest and 2 with multi organ failure). Conclusions: Preliminary data from this Interim Analysis of 225Ac-lin monotherapy in older AML pts unfit for intensive therapy indicate a lower rate of myelosuppression at 1.5 µCi/kg/dose but also a lower response rate than was seen at 2.0 µCi/kg/dose. Although the study met the prespecified response criteria for continuing enrollment, it will be closed to further accrual in recognition that targeted radiation, like other therapies, will likely have the best outcomes when used in combination with other therapies in pts with active AML. An extensive development program in AML, MDS, and multiple myeloma is planned. One study will utilize 225Ac-lin in combination with salvage chemotherapy and another with venetoclax. 225Ac-lin will be used as a single agent for AML postremission therapy. In addition, 225Ac-lin will be used as targeted conditioning prior to hematopoietic stem cell transplant in pts with MDS with a complex karyotype and as a conditioning agent prior to autologous transplant in MM. Table. Table. Disclosures Atallah: Jazz: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Abbvie: Consultancy; BMS: Consultancy. Orozco:Actinium Pharmaceuticals: Research Funding. Craig:Novartis: Research Funding; Actinium Pharmaceuticals: Research Funding; Celgene: Research Funding. Levy:Takeda (Millennium Pharmaceuticals, Inc.): Consultancy. Finn:Ochsner Clinic Foundation: Employment. Perl:NewLink Genetics: Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees; Arog: Consultancy; Astellas: Consultancy; Novartis: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy; Pfizer: Membership on an entity's Board of Directors or advisory committees. Park:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Juno Therapeutics: Consultancy, Research Funding; Shire: Consultancy; AstraZeneca: Consultancy; Adaptive Biotechnologies: Consultancy; Kite Pharma: Consultancy; Pfizer: Consultancy; Novartis: Consultancy. Roboz:Astex Pharmaceuticals: Consultancy; Bayer: Consultancy; Aphivena Therapeutics: Consultancy; Celltrion: Consultancy; Celgene Corporation: Consultancy; Novartis: Consultancy; Celgene Corporation: Consultancy; Pfizer: Consultancy; Argenx: Consultancy; Roche/Genentech: Consultancy; AbbVie: Consultancy; Cellectis: Research Funding; Aphivena Therapeutics: Consultancy; Roche/Genentech: Consultancy; Sandoz: Consultancy; Bayer: Consultancy; Sandoz: Consultancy; Jazz Pharmaceuticals: Consultancy; Otsuka: Consultancy; Astex Pharmaceuticals: Consultancy; Daiichi Sankyo: Consultancy; Orsenix: Consultancy; Janssen Pharmaceuticals: Consultancy; AbbVie: Consultancy; Jazz Pharmaceuticals: Consultancy; Argenx: Consultancy; Janssen Pharmaceuticals: Consultancy; Eisai: Consultancy; Otsuka: Consultancy; Pfizer: Consultancy; Eisai: Consultancy; Orsenix: Consultancy; Cellectis: Research Funding; Daiichi Sankyo: Consultancy; Novartis: Consultancy; Celltrion: Consultancy. Tse:Brown Cancer Center, University of Louisville School of Medicine: Employment; Jazz: Consultancy; Amgen: Consultancy; Amgen: Honoraria; Amgen: Honoraria. Mawad:Swedish Cancer Institute: Employment. Rizzieri:Novartis: Consultancy; 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; Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Teva: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Arog: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Berger:Actinium Pharmaceuticals: Employment, Equity Ownership. Jurcic:Astellas: Research Funding; Daiichi-Sankyo: Research Funding; Incyte: Consultancy; Celgene: Research Funding; AbbVie: Consultancy, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Forma Therapeutics: Research Funding; Syros Pharmaceuticals: Research Funding; Actinium Pharmaceuticals, Inc: Research Funding; Genetech: Research Funding; Kura Oncology: Research Funding.

Abstract Background: Large case-control studies have identified common epidemiologic exposures associated with risk of AML development, including obesity [BMI ≥30 kg/m2] associated with 2-fold increase risk. However it is not known whether individual risk factors are associated with unique AML genetic lesions. We have recently identified a significant association of some common exposures including obesity with unique disease cytogenetic subgroups in a cohort of n=295 consecutive AML patients diagnosed and treated at Mayo Clinic [Cancer Epidemiol 39:1084, 2015]. Aberrant DNA methylation is a hallmark of cancer and has been reported in AML, and we therefore performed an analysis of global DNA methylation in patients in this cohort to determine whether specific epidemiologic exposures are associated with a unique pattern of DNA methylation. Methods: Patients in the initial cohort were previously reported. An available baseline AML bone marrow cytogenetic pellet from diagnosis was identified for n=148 patients (50.2%). Following IRB approval and using previously reported techniques [Leukemia 24:1283, 2010], leukemia DNA was isolated from the remnant diagnostic cytogenetic samples and processed on the HumanMethylation450 BeadChip array (Illumina). Individual CpG dinucleotides were assigned a Beta value (i.e. methylation value) ranging from 0 (unmethylated) to 1 (methylated). We excluded those with minor methylation changes (<0.2 between any two samples), resulting in 383,524 CpG's. For the purposes of this first analysis we have focused only on CpG's with an inter-quartile range (IQR, i.e. difference between 75th and 25th percentiles) of greater than 0.25, comprising a total of 39,657 CpG's. An unsupervised cluster analysis of differential methylation was generated ("Heatmap", Figure). Univariate and multivariable analyses were performed adjusting for age as a continuous variable to determine the association of individual exposures with unique methylation clusters (primary endpoint), and we also evaluated the association of clinical characteristics and clinical outcomes after therapy (secondary endpoint). The median age of patients was 69 yrs (range 19-89), male 65%, and Caucasian 89%. The median BMI was 27.2 (range 16.9-59.9), and n=47 patients (32%) had BMI ≥30. Standard cytogenetic risk groups were applied [favorable (n=8), normal (n=61), intermediate abnormal (n=32) and poor (n=47)]. Results: We identified 4 distinct methylation clusters (Figure: Cluster #1, Black horizontal bar; Cluster #2, Green; Cluster #3, Blue; and Cluster #4, Red). Multivariate analysis of select variables is shown in Table. Patients in cluster #1 were significantly more likely to have a BMI ≥30 [Odds Ratio (OR) 2.49, p=0.017] and more likely to have favorable risk cytogenetics although this was not statistically significant [OR 6.71, p=0.088], while those in cluster #2 were significantly more likely to be have a history of regular NSAID use [OR 3.26, p=0.03] and less likely to have normal [OR 0.40, p=0.044] and possibly intermediate abnormal cytogenetics [OR 0.34, p=0.051]. Those in cluster #3 were significantly younger [median age 48 yrs, p<0.001] and were also more likely to have prior history MDS although this was not statistically significant [OR 3.7, p=0.082]. Cluster #4 was not correlated with any distinct exposure apart from possible decreased alcohol use [OR 0.3, p=0.079]. History of past or current tobacco use, regular acetaminophen use, documented myelotoxin exposure, family history, and secondary AML did not correlate with a unique methylation cluster. There was no independent association of methylation cluster with overall survival (p=0.46), although among patients receiving intensive therapy cluster #2 was associated with lower complete remission rate [OR 0.28 (95% CI 0.09-0.86), p=0.026]. Conclusion: This first analysis of AML molecular epidemiology and clinical outcome suggests that specific disease risk factors (esp. obesity and age) are associated with unique leukemia DNA methylation clusters. In addition, aberrant methylation is associated with some clinical features and with outcome after therapy, suggesting that epidemiologic risk factors may have a prognostic impact. This provides novel insight into leukemogenesis, and will guide prospective studies of AML epidemiology and outcome. Figure. Figure. Disclosures Foran: medscape: Honoraria; pfizer: Honoraria; Millennium Pharmaceuticals, Inc.: Research Funding; novartis: Honoraria; karyopharm: Honoraria; boehringer ingelheim: Research Funding; agios: Research Funding; Cellerant: Research Funding.

Abstract Background Myeloid neoplasms (MN) occurring secondary to treatment of non-malignant disease, especially autoimmune diseases (AID), and the overlap between them, is an increasing clinically important observation. Confounding variables for myeloid transformation include the nature of autoimmune disease as an incessant, chronically activated inflammatory cascade that has been associated with an increased risk of myeloid malignancy, and disease modifying therapies, often with cytotoxic and immunosuppressive drugs. Thus, the addition of therapeutic agents for treatment of AID theoretically amplifies the opportunity for MN to develop in genetically susceptible individuals. To our knowledge, there is no large study evaluating a comprehensive primary AID population that developed MDS or AML with detailed assessment of therapeutic interventions for AID. The presented study queries the association of cytotoxic, anti-inflammatory, and immune-modulating agents to treat AID as risk factors for developing myelodysplastic syndromes (MDS) or acute myeloid leukemia (AML). Methods In a 10-year period from 2004-2014, a total of 40,011 patients with an ICD-9 coded diagnosis of AID were seen at Mayo Clinic Arizona and Florida campuses; 311 patients from this population had a concomitant coded diagnosis of MDS and/or AML. In an IRB approved, retrospective chart review, we confirmed 86 cases meeting strict inclusion criteria for AID and confirmed MDS or AML. We performed a case-control match from the same primary autoimmune population for age, gender, and autoimmune specific diagnosis at a 2:1 ratio querying for therapeutic interventions. Results Myeloid neoplasm specifics in our case cohort of 86 patients were 55 MDS, 21 de novo AML, and 10 AML with history of MDS. Average age was 72 years with a slight male predominance (57%). Rheumatoid arthritis (26.4%), psoriasis (20.7%), systemic lupus (13.8%), was the most common autoimmune profiles. Median onset of autoimmune disease to diagnosis of myeloid neoplasm was 6 years (range 1-54 years). Up to 26% controls documented no systemic agent for treatment of autoimmune disease and similarly 12.8% of the case cohort (p=0.142). Case and control populations treated with systemic therapies had similar exposures by category for immune-modulating agents (33.7% and 37.8% respectively) and cytotoxic therapies (47.7 and 44.8% respectively). A total of 57/86 cases (66.3%) received either a cytotoxic or immune-modulating agent. In comparison, 105/172 (61.1%) controls received either agent; p=0.495. Azathioprine was the only statistically significant agent exposure observed more frequently in the study cohort than controls with an OR of 7.05 (p= < 0.001). There was no increased incidence of MDS or AML in TNF-antagonist treated patients. No significant correlation for duration of agent exposure by drug category was observed. Discussion In a large primary AID population, azathioprine exposure was associated with a 7 fold risk of MDS or AML (p=< 0.001). Notable, but not statistically significant case cohort trends among cytotoxic agents was exposure to cyclophosphamide (OR 3.58) followed by mitoxantrone (OR 2.73). Methotrexate, mercaptopurine, and mycophenolate had favorable odd ratios, but these were not statistically significant. No association was found for TNF-inhibitory agents. Finally, there was no association of drug exposure time to the incidence in development of MDS or AML. Disclosures Dueck: Bayer: Honoraria. Mesa:Gilead: Research Funding; Novartis: Consultancy; Celgene: Research Funding; Incyte Corporation: Research Funding; Galena: Consultancy; Ariad: Consultancy; CTI: Research Funding; Promedior: Research Funding. Al-Kali:Onconova Therapeutics, Inc.: Research Funding; Celgene: Research Funding. Foran:Millennium Pharmaceuticals, Inc.: Research Funding; novartis: Honoraria; karyopharm: Honoraria; medscape: Honoraria; pfizer: Honoraria; boehringer ingelheim: Research Funding; agios: Research Funding; Cellerant: Research Funding.

Abstract Background Cytotoxic agents are a well-established risk factor for therapy related myeloid neoplasms (t-MN). The incidence of t-MN in patients (pts) with autoimmune diseases (AID) treated with cytotoxic and immuno-modulatory agents are not well described in the literature. Most case series assess an MDS/AML population and co-occurrence with an AID. To our knowledge, there exists no large case-control studies evaluating a primary AID population that developed therapy-related MDS or AML, and the relationship to detailed therapeutic intervention for AID. Our study queries the association of cytotoxic and immune-modulating agents to treat AID as risk factor for developing MDS or AML. Methods Between 2004-2014, 23,671 pts with an ICD-9 coded AID were seen at Mayo Clinic Arizona; 148 pts from this population had a concomitant coded diagnosis of MDS/AML. In an IRB approved, retrospective chart review we confirmed 61 cases meeting strict inclusion criteria. We performed a case-control match from the same primary AID population for age, gender, and autoimmune specific diagnosis at a 2:1 ratio. AML/MDS cases were compared to controls by use of chi-square test for frequency data. Odds ratios with 95% confidence interval were constructed using conditional logistic regression. Case incidence was compared to SEER data for the general population Results Of 61 cases 33 were MDS, 20 de-novo AML, and 8 MDS transformed to AML. Psoriasis 16 (26.2%) and rheumatoid arthritis 14 (23.0%) were the most common autoimmune diagnoses, followed by systemic lupus 11 (18%), Crohn's disease 7 (11.5%), and ulcerative colitis 5 (8.2%). 39 out of 61 cases (63.9%) received either a cytotoxic or immune modulating agent for AID, compared to 64/122 (52.5%) in the control group; p=0.140. 7/61 cases (11.5%) received both a cytotoxic and immune modulating agent as compared to 16/122 (13.1%) in controls; p=0.753. Overall, the case population received more agents than controls. No cytotoxic or immune-modulating treatment was documented in 16% of cases and 36% controls. Exposures to cytotoxic and immune-modulating agents were similar in both case and control cohorts. Exposure time was not statistically significant. Azathioprine was the only statistically significant agent exposure observed more often in the case cohort than control. Per SEER data, over a 10-year period in a general age-matched population that is comparable to our AID population cohort, we would expect 54 MDS and 35 AML cases. Table 1. Exposures and Timeline Cases (n=61) Controls (n=122) P value * Number of Systemic Agents, Total None 1 2 3 4+ - 10 (16.4%) 26 (42.6%) 12 (19.7%) 7 (11.5%) 6 (9.8%) - 44 (36.1%) 32 (26.2%) 31 (25.4%) 9 (7.4%) 6 (4.9%) 0.020 Exposure to Cytotoxic agent < 1 year 2-5 years 6-10 years 11 years or more Unknown (n=26) 7 (26.9%) 6 (23.1%) 5 (19.2%) 3 (11.5%) 5 (19.2%) (n=43) 5 (11.6%) 8 (18.6%) 6 (13.9%) 12 (27.9%) 12 (27.9%) 0.276 Exposure to Immune modulating agent < 1 year 2-5 years 6-10 years 11 years or more Unknown (n=20) 6 (30%) 6 (30%) 3 (15%) 1 (5%) 4 (20%) (n=37) 6 (16.2%) 10 (27.0%) 5 (13.5%) 3 (8.1%) 13 (35.1%) 0.661 Table 2. Treatments and Odds Ratio Odds Ratio 95% CI for OR P value * Cytotoxic OVERALLAzathioprine Cyclophosphamide Methotrexate Mitoxantrone 6-MP Mycophenolate 1.39 4.16 1.28 0.74 2.73 1.00 1.21 0.72, 2.67 1.29, 13.44 0.24, 6.89 0.29, 1.88 0.23, 33.0 0.23, 4.35 0.28, 5.21 0.322 0.017 0.773 0.528 0.429 0.999 0.803 Immune modulating agent OVERALLAnti-TNF Leflunomide Plaquenil 1.19 0.73 2.00 2.73 0.52, 2.73 0.24, 2.24 0.40, 9.91 0.80, 8.33 0.672 0.585 0.396 0.077 Discussion Treatment of AID does not seem to increase the incidence of MDS or AML. Furthermore, the incidence of myeloid neoplasm occurring in association with treatment of AID is not higher than expected in the general SEER population. However, the case cohort was exposed to more agents overall and more likely to have exposure to azathioprine than controls. Limitations of our study are associated with its retrospective nature, possible associated underrepresentation of t-MN, and autoimmune population profile. Nevertheless, this is the largest case study with detailed drug exposures with timelines for pts with AID, contributing to a better understanding regarding possible risk of developing MDS/AML in pts treated for AID. Confirmation of the same study at Mayo Clinic Rochester and Florida are ongoing. Disclosures Al-Kali: Novartis: Research Funding.