Litzow, Mark R.

Introduction: Myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) overlap syndromes consist of 5 distinct WHO-defined entities; namely chronic myelomonocytic leukemia (CMML), atypical chronic myeloid leukemia, BCR/ABL1- (aCML), juvenile myelomonocytic leukemia (JMML), MDS/MPN with ring sideroblasts and thrombocytosis (MDS/MPN-RS-T), and MDS/MPN, unclassifiable (MDS/MPN-U) (Arber et al., Blood 2016). With the notable exception of JMML, a bona fide RASopathy, the other entities are characterized by clinical heterogeneity and molecular diversity. Loss of function TET2 mutations (TET2MT) are common in myeloid neoplasms, especially CMML (60%), and are known leukemogenic drivers. We carried out this study to assess the TET2 mutational landscape and phenotypic correlates in patients with MDS/MPN overlap syndromes. Methods: After approval by the institutional review board, adult patients with WHO defined MDS/MPN overlap syndromes were included; with the exception of JMML. The BM morphology, cytogenetics and 2016, WHO-diagnoses were retrospectively reviewed and all patients underwent targeted next generation sequencing for 29 myeloid-relevant genes, obtained on BM mononuclear cells, at diagnosis, or at first referral, by previously described methods (Patnaik et al., BCJ 2016). Results: Five hundred and four patients were included in the study; including 387 (77%) with CMML, 48 (10%) with MDS/MPN-RS-T, 17 (3%) with aCML and 52 (10%) with MDS/MPN-U. The median age at diagnosis was 71 (range, 18-99) years, and 333 (66%) were male. TET2MT were seen in 212 (42%) patients, with the frequency of other mutations being: ASXL1 45%, SRSF2 40%, NRAS 15%, SF3B1 13%, CBL, RUNX1 and SETBP1 12% each, and JAK2 V617F 11% (Figure B). Among the MDS/MPN overlap syndromes, TET2 was more frequently mutated in CMML (49%) and aCML (47%) compared to MDS/MPN-RS-T (10%) and MDS/MPN-U (15%). The prevalence of patients with TET2MT increased with age, a finding consistent across all MDS/MPN subtypes (Figure C). Overall, 341 TET2MT were identified in 212 patients (mean 1.6 variants/patient, range 0-5): 120 (24%) had >1 TET2MT, while 113 (22%), 5 (1%) and 2 (0.4%) had 2, 3 and 5 mutations, respectively. CMML and aCML patients were more likely to have an age-independent increase in multiple TET2MT (28% and 24%), in comparison to MDS/MPN-RS-T (4%) and MDS/MPN-U (8%). TET2 MT spanned the entire coding sequence and were mostly truncating (78%, Figure A): 59 (17%) were missense, 14 (4%) involved the splice-donor/acceptor sites, 2 (0.5%) were in-frame deletions, 129 (38%) were nonsense, and 137 (40%) were frameshift mutations. Overall, the distribution of TET2MT was superimposable across CMML, aCML, and MDS/MPN-U; the only exception being the absence of splice site mutations in the latter two. One hundred and eighty-seven (55%) TET2MT were secondary to pathogenic single nucleotide variants (SNV), while the remainders were secondary to deletions (25%) and insertions (15%). Transitions comprised the most frequent type of SNV (65%), with the C:G>T:A being the most common (56%). Patients with MDS/MPN overlap syndrome and TET2MT were more likely to have additional gene mutations compared to wild type patients (mean mutation number 3.1 vs 2.1, p<0.0001), with common co-mutations being SRSF2 (51%), ASXL1 (42%), and CBL (17%). The median overall survival (OS) of the entire cohort was 29 (range, 0-170) months; 29 months for CMML, 63 months for MDS/MPN-RS-T, 14 months for aCML, and 25 months for MDS/MPN-U. On univariate analysis, OS was superior in CMML patients with TET2MT (35 months) compared to wild type cases (21 months, p<0.0001, Figure D), and in CMML patients with >1 TET2MT (41 months) in comparison to wild type (21 months, p<0.0001) and single TET2MT (29 months, p=0.0476) cases (Figure E). These observations were not seen in patients with aCML, MDS/MPN-RS-T, and MDS/MPN-U. Conclusion: Our study demonstrates that TET2MT are among the most frequent mutations in patients with MDS/MPN overlap syndromes (42%), especially CMML (49%), with an age-dependent increase in the frequency and number of TET2MT. Mutations in TET2 were found to span the entire coding sequence, with truncating mutations being more common (78%). Importantly, in CMML, TET2MT, including number of TET2MT, were associated with favorable survival outcomes. Figure Disclosures Al-Kali: Astex Pharmaceuticals, Inc.: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Short telomere syndromes (STS) are accelerated aging syndromes affecting hematopoietic, pulmonary, hepatobiliary and/or immunological systems. Clinical assessment of age-appropriate telomere length (TL) is performed using flow cytometry & fluorescence in-situ hybridization (flowFISH). Screening for germline variants in STS-related genes is guided by flowFISH-determined centile categories of TL, with screening recommended for TL <1st centile or 1-10th centile in lymphocytes (L) or granulocytes (G). However, the utility of genetic testing for patients with TL >10th centile and integration of clinical phenotype with flowFISH data in predictive algorithms is currently unclear. Methods: FlowFISH testing was done at reference laboratories in Vancouver (Repeat Diagnostics; Canada) & Johns Hopkins University (JHU, USA). Salient clinical features were pre-determined as, personal history of premature hair greying (onset at age < 30 years), idiopathic pulmonary fibrosis (IPF) or IPF/emphysema overlap (in smokers), cryptogenic cirrhosis or NRH, unexplained cytopenias &/or immunodeficiency, & family history of the above (in >1 1st or 2nd degree relatives). Clinical likelihood score (CLS) was assigned as low (1), intermediate (int, 2) or high (>2), based on the number of aforementioned clinical features present prior to flowFISH testing. Genetic testing was performed using either an in-house or commercial bone marrow failure-specific next generation sequencing (NGS) panel or whole exome sequencing (WES), and data for known variants affecting telomerase or telomeric function (TERT, TERC, DKC1, TINF2, NHP2, NOP10, TCAB1, NAF1, & RTEL1) was recorded. Results: One hundred forty-nine patients at our institution underwent TL assessment at Repeat diagnostics (n=38) and JHU (n=111) laboratories, respectively. Median age was 56 (range: 7-79) years; 88 (59%) being males. Significant family history was present in 40 (27%) patients, while premature greying of hair was present in 13 (9%) patients. Organ-specific clinical features included unexplained cytopenias (n=89, 60%) IPF (n=71, 48%), cryptogenic cirrhosis or NRH (n=21, 14%), & unexplained immunodeficiency (n=14, 9%). CLS stratification included low (n=74, 50%), int (n=54, 36%), & high (n=21, 14%), with higher CLS significantly correlating with lower delta TL for L (p=0.0005) but not G (p=0.3). Genetic testing was performed in 51 (35%) patients (NGS-51, WES-1) among which 13 (26%) patients had a telomere-associated variant; 5 (10%) pathogenic (pv, all TERT). CLS alone was unable to predict likelihood of finding a telomere-associated variant (p=0.4). Based on age-appropriate centile categorization of L & G TL (information for both available in 134 patients), patients were stratified into six groups (table 1). TL <1st centile in L: This group was further divided into two groups; TL<1st centile in both L & G [A1, n=7, CLS low-3 (43%), int-2 (29%), & high-2 (29%)] and TL <1st centile in L and 1-50th centile in G (A2, n=2, CLS low & high) patients. Among the 4 (57%) patients who underwent genetic (NGS-3, WES-1) testing, 3 (75%) had TERTpv in A1 subgroup and 1 A2 subgroup patient had a VUS in TERT.TL <1st centile in G, 1-10th centile in L (n=18): This group included 9 (50%) low, 8 (44%) int and 1 (6) high CLS patients, of which only 1 of 8 NGS-tested patients had TERTpv.TL 1-10th centile in L or G: This group was divided into; 1-10th centile in both L & G [C1, n=28, CLS low-3 (11%), int-14 (50%), high-11(39%)] of whom 8 (22%) underwent NGS with no pathogenic variants but 3 VUS in RTEL1, NAF1 & PARN genes, and 1-10th centile in L, >1-90th centile in G [C2, n=36, CLS low-19 (53%), 16 (44%), 1 (3%)] of whom 8 (22%) underwent NGS with 1 TERTpv and 2 VUS in TINF2TL >10th centile in L & 1-90th centile in G (n=43, 32%): CLS stratification in this group included 27 (63%) low, 12 (28%) int, 4 (9%) high. NGS testing was done in 13 (30%) patients [CLS low-9(69%), int 2(15%), high 2 (15%)], of whom only 2 (15%) had VUS in TINF2 and TERT gene, but no pathogenic variants (figure 1). Conclusion: Our study demonstrates the importance of using a flowFISH assay based predictive algorithm to screen patients with suspected STS for telomere-related genetic alternations, in comparison to a clinical likelihood score. We also demonstrate a limited role for genetic testing in patients with lymphocyte TL >10th centile, regardless of the clinical likelihood score. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Whereas morphological assessment and cytogenetics have been the cornerstone for the diagnosis of myelodysplastic syndrome (MDS), flow cytometry and mutational analyses are novel, evolving techniques. These diagnostic procedures play a role in identifying pre-MDS cases including idiopathic cytopenia of undetermined significance (ICUS) and clonal cytopenia of undetermined significance (CCUS). Aim: To assess flow cytometric findings in ICUS and CCUS and their correlation with progression to MDS or myeloid neoplasm (MN), concurrent genetic aberrations, and underlying pathological evolution. Methods: Patients (Pts) who had undergone evaluation to rule out MDS and had retrospectively undergone flow cytometry, cytogenetic, mutational and morphological assessment were included. Flow cytometry results were classified as normal (no abnormality or 1 equivocal result), abnormal (2 abnormalities or at least 1 abnormality and 1 equivocal result), or atypical (1 abnormality or 2-3 equivocal results). Next generation sequencing included mutation analysis of: ASXL1, BCOR, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA1, GATA2, IDH1, IDH2, JAK2, KIT, KRAS, MPL, MYD88, NOTCH1, NPM1, NRAS, PHF6, PTPN11, RUNX1, SETBP1, SF3B1, TERT, TET2, TP53, U2AF1, WT1, ZRSR2. Results: A) Characteristics: 229 pts were assessed (median age 60 and 69% were males). Based on pathologist interpretation, 87 (38%) pts met diagnostic criteria of MDS, 106 (46%) pts had normal/reactive bone marrow (BM), and 36 (16%) pts had BM findings suspicious for MDS. Median time to follow-up was 24 months for MDS pts, and 32 months for pts with cytopenias. B) Morphology: Pts who had a BM biopsy that was suspicious for MDS by pathologist interpretation were more likely to develop MDS compared to pts with normal/reactive pathology report with an incidence rate (IR) of 16% versus 0.9% (p= .0005). Pts who were suspicious for MDS based on the BM biopsy were more likely to have underlying mutations compared to pts with normal/reactive BM (IR 83% versus 69%, p= .2). C) Flow cytometry: In the non-MDS cohort, 96 (67%) pts had normal flow results, 29 (20%) pts had atypical flow, and 17 (12%) pts had abnormal flow results compared to 16 (18%) pts, 18 (21%) pts, and 53 (61%) pts in the MDS cohort, respectively. Of the pts who had normal flow result (n=112), 16 were MDS, 16 were suspicious for MDS/MN, and 80 were normal/reactive. Pts who had biopsy interpretation suspicious for MDS/MN were more likely to have abnormal flow cytometry compared to normal/reactive BM biopsy (IR 55% versus 24%, p=.0003). IR of MDS was 4% in normal flow, 3% in atypical flow, and 12% in abnormal flow (p= .5). Likewise, IR of MN was 4% in normal flow, 20% in atypical flow, and 30% in abnormal flow (p= .1). D) Genetics (cytogenetics and mutation profiling): Cytogenetics was normal in 123 (86%) pts and abnormal in 19 (13%) pts. Pts who had abnormal cytogenetics were more likely to develop MN (IR 57% versus 5%, p= .002). Out of the 50 non-MDS pts tested for NGS, 38 (76%) were positive for mutations. 15 (39%) pts had 1 mutation, 8 (21%) pts had 2, 3 (8%) pts had 3, 6 (16%) pts had 4, 2 (5%) pts had 5, 1 (3%) pt had 7, and 1 (3%) pt had 8 mutations (61% had >1 mutation). Pts with positive mutations were more likely to develop MDS during follow-up compared to pts who did not have mutations (IR 16% versus 0%, p=.06). Additionally, flow cytometric aberrations significantly correlate with the number of mutations (p= .03). MN correlated significantly with BCOR mutation and RUNX1 (IR 60% (p= .008) and 50% (p=.02), respectively. E) Interaction between variables: In pts with positive mutations, flow cytometry did not correlate with progression to MDS with an IR of 17% of MDS in normal flow, 11% in atypical flow, and 17% in abnormal flow, (p= .9). There was no impact on overall survival neither in pts with abnormal flow results vs normal nor in pts with positive mutations vs wild type. Conclusion: Conventional diagnostic techniques remain the cornerstone of MDS diagnosis with flow cytometry and NGS arising as novel techniques that correlate significantly with progression of pre-MDS pts to MDS. Flow had an impact on pathology final interpretation but did not add value in pt with a positive mutation analysis. Larger studies are needed to confirm our findings. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding.

Background: The use of midostaurin in combination with standard induction chemotherapy has been shown to improve the outcomes in patients with newly diagnosed FLT3 mutated (FLT3m) AML (Stone et al) and allogeneic transplant is often recommended in first remission. While likely to achieve remission with standard induction, the majority of these patients will relapse and die of their disease. Gilteritinib, a potent FLT3 inhibitor, has been approved for use in patients with relapsed or refractory FLT3 mutated AML. In Phase I/II studies, when used as part of induction therapy, gilteritinib has shown promising CR rates. We have designed a trial comparing the outcomes of induction therapy with gilteritinib to those with midostaurin. The hypothesis is that gilteritinib, when added to induction chemotherapy, will produce more FLT3m negative composite complete remission (CRc). The Ratify trial combined midostaurin with daunorubicin 60 mg/m2/d X 3 days and cytarabine X 7 days Daunorubicin 90 mg/m2/d has however been shown to be superior during induction in patients with newly diagnosed FLT3 ITD mutated AML (Luskin et al, Burnett et al) While improved survival is the ultimate goal of any leukemia regimen, it is known that AML patients who proceed to allogeneic transplant with measurable residual disease (MRD) positive disease fare worse than those with MRD negative disease. As such, our goal is to increase the likelihood of an MRD negative state after induction. Study Design This is a randomized, open-label, multicenter phase II study comparing gilteritinib to midostaurin in combination with cytarabine 100 mg/m2 and daunorubicin 90 mg/m2 in newly diagnosed FLT3 mutated AML patients ages 18-65. Central confirmation of FLT3 mutation and other pretreatment studies are required. In order to identify patients without delay, all patients with suspected AML will be able to be prescreened without enrollment to the randomized treatment trial. Patients will be stratified according to TKD vs. ITD FLT3 mutation. Patients with FLT3-ITD mutation will undergo further stratification with NPM1 mutation status (positive vs. negative) and FLT3 ITD to FLT3 wild type signal ratio (high [≥ 0.5] vs. low [<0.5]). Patients will be randomized to receive standard induction treatment (cytarabine and daunorubicin) with either gilteritinib or midostaurin. Mandatory bone marrow samples are required after Induction and Consolidation. Patients who achieve CR or complete remission with incomplete hematologic recovery (CRi) will be assessed for MRD and be eligible at count recovery to go on to receive standard consolidation treatment of high-dose cytarabine with the study drug received during induction (gilteritinib or midostaurin). Patients may proceed to allogeneic transplant after induction or after 0-4 cycles of chemotherapy consolidation and may participate in BMT CTN 1506. Key Eligibility: Newly diagnosed FLT3m AML Primary Objective To evaluate the FLT3m negative (evaluated by polymerase chain reaction [PCR] and capillary electrophoresis) composite complete response (CRc) (includes CR or CRi)rate of patients with FLT3 mutated AML who receive gilteritinib compared to those who receive midostaurin in addition to standard therapy with cytarabine and daunorubicin during induction. Sample Size and Statistical design The accrual goal of this study will be 179 patients. Patients who achieve remission will be followed for survival and relapse. With an allocation ratio of 1:1 to the two arms, the study will have 80% power to detect an improvement of 20% in the FLT3 mutation negative CRc rate in the gilteritinib arm (i.e. from 40% to 60%) at the one-sided significance level of 0.05 based on Fisher's exact test. This study is conducted through PrECOG and is funded by Astellas Pharma. The study is slated to open in the summer of 2019 at 30 US sites. References: Stone R.M., Mandrekar S.J., Sanford B.L., et al. N Engl J Med 2017; 377:454-464 Luskin MR, Lee JW, Fernandez HF et al. Blood 2016 :blood-2015-07-657403; doi: https://doi.org/10.1182/blood-2015-07-657403 Burnett AK, Russell NH, Hills RK et al. Blood 2016; Blood 2016 128:449-452; doi: https://doi.org/10.1182/blood-2016-04-712091 Figure Disclosures Luger: Genetech: Research Funding; Jazz: Honoraria; Celgene: Research Funding; Pfizer: Honoraria; Kura: Research Funding; Onconova: Research Funding; Agios: Honoraria; Ariad: Research Funding; Biosight: Research Funding; Seattle Genetics: Research Funding; Cyslacel: Research Funding; Daichi Sankyo: Honoraria. Loghavi:MDACC: Employment; GLG Consultants: Consultancy; AlphaSights: Consultancy. Lazarus:Genentech: Speakers Bureau; Pluristem Therapeutics, Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Adaptive Biotechnologies: Consultancy, Honoraria; CSL Behring: Consultancy; Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Honoraria, Speakers Bureau; Actinium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Biosight: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Speakers Bureau; Teva Pharmaceuticals: Speakers Bureau. Rowe:BioSight: Consultancy. Tallman:Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Rigel: Consultancy, Membership on an entity's Board of Directors or advisory committees; Biosight: Research Funding; ADC Therapeutics: Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; KAHR: 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; Oncolyze: Consultancy, Membership on an entity's Board of Directors or advisory committees; BioLineRx: 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; Delta Fly Pharma: 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; Cellerant: Research Funding; Tetraphase: Consultancy, Membership on an entity's Board of Directors or advisory committees; UpToDate: Patents & Royalties. Pratz:Astellas Pharma: Consultancy, Research Funding; AbbVie: Consultancy, Research Funding; Agios: Consultancy, Research Funding; Millenium/Takeda: Research Funding; Boston Biomedical: Consultancy. OffLabel Disclosure: In this study gilteritinib is being studies in newly diagnosed AML.

Although some data (Scott, JCO 2017) suggest that myeloablative conditioning (MAC) is preferred for allogeneic hematopoietic cell transplantation (HCT) in acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS), these data were not informed by analysis of disease specific risk factors. We analyzed AML and MDS HCT outcomes stratified by the disease risk index (DRI) in order to identify the preferred transplant conditioning intensity (reduced-intensity conditioning [RIC] vs. MAC). In this large CIBMTR registry study we identified 4387 adult patients (age 40-65 years) who received HCT for AML (68%) or MDS (32%) between 2009 and 2015. DRI was stratified as low/ intermediate risk (1539 MAC and 999 RIC) and high/ very high risk (1121 MAC and 728 RIC). Examining the low/ intermediate risk DRI cohort (Table), RIC was associated with lower risk of TRM (HR=0.74, 95% CI 0.62-0.88; p<0.001) but significantly higher risk of relapse (HR=1.54, 95% CI 1.35-1.76; p<0.001). As a result, RFS in this cohort was significantly worse with RIC (HR=1.19, 95% CI 1.07-1.33; p=0.001). In the high/ very high risk DRI cohort, RIC resulted in similar TRM (HR=0.83, 95% CI 0.68-1.00; p=0.051) but again significantly higher risk of relapse (HR=1.23, 95% CI 1.08-1.41; p=0.002). RFS in high/ very high risk DRI cohort was similar between RIC and MAC. Adjusted outcome curves for the 3 endpoints are shown in the Figure. In this large study of HCT for AML or MDS stratified by DRI, RIC was independent predictor of lower TRM, but significantly higher risk of relapse. The MAC was an independent predictor of lower relapse in both low/ intermediate and high/very high DRI groups. However, MAC only resulted in RFS benefit in the low/ intermediate group where the magnitude of impact on relapse was not offset by the higher TRM. In adults with AML or MDS aged 40-65 years, these data support MAC as the preferred conditioning intensity for low/ intermediate risk DRI, whereas MAC does not provide significant benefit in those with high/ very high risk DRI. Safer, yet still potent MAC regimens could benefit this higher risk group. Disclosures Bejanyan: Kiadis Pharma: Other: advisory board. Brunstein:Gamida: Research Funding; Astex: Research Funding; Magenta: Research Funding. Kebriaei:Amgen: Research Funding; Jazz: Consultancy; Pfizer: Honoraria; Kite: Honoraria; Pfizer: Honoraria; Kite: Honoraria. Weisdorf:Fate Therapeutics: Consultancy; Pharmacyclics: Consultancy; Incyte: Research Funding.

Introduction: AML patients with intermediate or high-risk features often undergo allogeneic hematopoietic cell transplantation (alloHCT) during first complete remission (CR). The 2017 European LeukemiaNet guidelines for AML specify categories of CR: both with and without count recovery (CR vs. CRi) and with and without measurable residual disease (MRD). Previous smaller retrospective studies have suggested poorer survival outcomes after alloHCT for patients with responses less than CR. Methods: Eligible cases were determined using the CIBMTR registry. Each had AML in CR1, was ≥ 18 years, and underwent alloHCT between January 1, 2007 and December 31, 2015. MRD was defined based on the answers to qualitative questions on standard clinical reporting forms that ask if the patient is in either molecular or cytogenetic remission and if disease is detected in marrow by flow cytometry at time of HCT. The primary outcome was overall survival (OS), and secondary outcomes were non-relapse mortality (NRM), relapse and disease-free survival (DFS). The Kaplan-Meier method was used to estimate survival and cumulative incidence function was used to estimate relapse and NRM. Multivariable analysis (MVA) was performed using the Cox proportional hazards model to adjust for patient-, disease-, and transplant-related factors. Adjusted probabilities of DFS and OS, adjusted cumulative incidence curves of NRM and relapse were generated from final Cox regression models stratified on CR vs. CRi and weighted averages of covariate values using pooled sample proportion as weight function. Results: We identified 2492 cases (CR, n=1799; CRi, n=693). The main effect variable (CR vs. CRi) was missing in 262 additional patients; these patients were excluded when univariate analysis confirmed no significant associations, suggesting a random distribution of missing data. Patient characteristics are summarized in Table 1. Compared with patients with CR, patients with CRi were more likely to have a Karnofsky score <90 (38% vs. 31%) and an HCT-CI score 3+ (47% vs. 40%). Other variables were well matched between the groups. MVA demonstrated significantly increased likelihood of mortality in patients with CRi compared to those with CR with hazard ratio (HR) 1.27; 95% confidence interval (CI) (1.13-1.43) (Figure 1A). Other covariates significantly associated with shorter OS included older age, poor-risk cytogenetics, lower Karnofsky score, higher HCT-CI score, and higher white blood cell count at diagnosis. The adjusted OS probabilities at 5 year post-HCT accounted for factors from MVA model are 50% (95%CI 47-52) for patients with CR and 43% (95%CI 39-47) for patients with CRi. CRi was also associated with significantly increased NRM [HR 1.33, 95%CI(1.11-1.59)] with only a trend in increased relapse [HR 1.15, 95% CI(0.99-1.34), p=0.07] resulting in inferior DFS [HR 1.20, 95%CI(1.07-1.35)]. MRD status was available in a subset of 2297 patients, and pairwise comparison demonstrated that presence of MRD was associated with shorter OS, shorter DFS, higher NRM, and increased relapse compared to absence of MRD (Figure 1B). Pairwise interaction between the main effects (CR vs. CRi) and MRD status were tested with no significant findings at a level of 0.01, demonstrating that the effects of incomplete count recovery and MRD are independent of each other. Conclusions: Analysis of this large CIBMTR cohort demonstrates that survival outcomes differ among AML patients nominally in CR at the time of alloHCT. Patients with CRi and/or MRD have significantly shorter OS after alloHCT compared to those in CR, as well as shorter DFS and higher NRM. Further studies should focus on limiting NRM and reducing relapse to optimize post-alloHCT outcomes for patients with responses less than CR. Disclosures Percival: Pfizer Inc.: Research Funding; Nohla Therapeutics: Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees. Kebriaei:Jazz: Consultancy; Pfizer: Honoraria; Amgen: Research Funding; Kite: Honoraria. Weisdorf:Fate Therapeutics: Consultancy; Incyte: Research Funding; Pharmacyclics: Consultancy.

Introduction: Patients who develop therapy-related myeloid neoplasms (t-MN) have dismal outcomes. Previous studies reported the incidence and risk factors associated with t-MN development. Lenalidomide, in the setting of oral, but not intravenous, melphalan is associated with a higher risk of t-MN (Palumbo et. al, Lancet Oncology, 2014). We carried out this study to evaluate the clinical and pathologic features of t-MN, therapies employed, and factors that predict long-term survival after diagnosis. Patients and methods: We identified patients who received the first ASCT 1998-2016 at our institution. t-MN was defined per the WHO 2016 classification. Median overall survival (OS) was calculated from the time of t-MN diagnosis to last follow-up or death. Statistical analyses were performed using SAS (JMP v14.1) or GraphPad Prism (v7). Results: Out of 2115 patients that underwent at least one ASCT, 53 (2.5%) developed t-MN. Thirty-five of 53 (66%) patients who developed t-MN had received lenalidomide. Among 2062 patients that did not develop t-MN, 916 (44.4%) patients received lenalidomide. Lenalidomide exposure was associated with development of t-MN (χ2 with Yate's correction 8.9, p=0.003). Ten patients were excluded from further analyses due to lack of follow up. Clinical characteristics are shown in Table 1a (N=43). Median age at t-MN diagnosis was 70 years (range 44-79). Median time from ASCT to t-MN was 5 years (range 1-15). After a median follow-up of 70 months (95% CI, 38-134), the median OS was 12 months (95% CI, 9-17, Figure). Primary causes of death were t-MN (71%), MM (12%), both (6%), and other including infection, GVHD, and unknown (12%). Seven (16%) had t-AML and 36(84%) had t-MDS. Three (42%) of 7 patients with t-AML had pure erythroid phenotype. At the time of last follow-up, 9 (21%) were alive. Seven (17%) underwent two ASCT, 16 (36%) received more than 2 years cumulative dose of lenalidomide. Median number of cycles of alkylator therapy including high-dose melphalan (HDM) used for ASCT was 2 (range 1-6). On univariate analysis, factors predicting OS from t-MN diagnosis were ≥ 2 alkylator vs. < 2 cycles (11 vs. 27 months, p=0.02), ≥10% vs. <10% blast at the time of t-MN diagnosis (5.5 vs. 17 months, p=0.01), and the presence of complex karyotype (CK) vs. not (11 vs. 17 months, p=0.03). There was no difference in survival among t-MDS patients who transformed to t-AML vs. those who did not, those who received 1 vs. 2 ASCT, and those with lenalidomide duration ≥ 2 vs. <2 years. On multivariate analysis, the number of alkylator therapies and CK, but not % blasts predicted OS from t-MN diagnosis (Figure). Eight (19%) patients proceeded to receive an autologous (n=4) or allogeneic (n=4) transplant for t-MN (Table 1b). There was no survival advantage for patients who underwent SCT for t-MN, compared to those who did not (17 vs. 10 months, p=0.3). Similarly, there was no survival advantage for patients who received allo SCT compared to auto SCT (21 vs. 16 months, p=0.7). Survival for t-MDS and t-AML was also not different (15 vs. 6 months, p=0.2). There is only one long-term survivor in the transplant group (s/p allogeneic SCT). Four of seven (57%) patients died of progressive t-MN, 1 died of progressive MM, progressive MM and t-MN, and TRM each. Conclusions: Lenalidomide, in the setting of HDM, is associated with an increased risk of t-MN. Increased exposure to alkylators, a higher tumor burden, and the presence of CK predict poor survival in t-MN. As HDM/ASCT followed by lenalidomide maintenance remains the standard of care for eligible patients, minimizing exposure to other alkylator regimens may be prudent. While considered the standard, only a minority undergo transplant; and post-transplant outcomes remain poor. Studies to identify prognostic genetic and epigenetic risk factors are ongoing. Disclosures Al-Kali: Astex Pharmaceuticals, Inc.: Research Funding. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Background: NGS of myeloid mutations is an integral part of AML clinical decision-making. There is currently no information regarding concordance between NGS panels in AML using samples from the same patient across various platforms in different diagnostic laboratories. To study this important question, we analyzed NGS of myeloid mutations in diagnostic samples from The Beat AML Master Trial (BAMT) for newly diagnosed older AML patients, and compared variant calls made between institutional laboratories enrolling the study subject with those made by Foundation Medicine (FM), the central laboratory used for treatment assignment in this precision medicine trial. Methods: We identified newly diagnosed AML patient samples (peripheral blood (PB) and/or bone marrow (BM)) from 2 lead institutions in the BAMT(Ohio State, OSU and Oregon Health and Sciences University, OHSU) that were analyzed by both the institutional and by FM from Nov 15, 2016 to Apr 15, 2019. Samples sent to both laboratories >3 days apart were excluded. Samples were analyzed at the institutional laboratories using their respective NGS mutational panels and by FM using the FoundationOne®Heme(FMH) NGS panel which utilizes capture based sequencing. The OSU NGS assay utilizes sequencing on Illumina MiSeq. The OHSU NGS assay employs semiconductor-based sequencing (Ion Torrent PGM platform). The variant allele frequency (VAF) sensitivity for detection for all 3 laboratories range from 1-2%. We evaluated the ability to identify mutations in 8 genes : FLT3, IDH1/ 2, NPM1, TET2, DNMT3A, WT1 and TP53 used in treatment assignment in theBAMT. A detection cutoff of 2% was used to define the presence or absence of a mutation. Overall, agreement was defined as the number of times the local and central laboratories made the same call divided by the total number of patients. Sensitivity was defined as the number of present calls made locally divided by the number of present calls made centrally, and specificity as the number of absent calls made locally divided by the number of absent calls made centrally. The overall kappa statistic, controlling for institution, provided another measure of agreement between local and central calls, where a value of 1 indicates perfect agreement. Results: 194 patient samples were identified using methods above and analyzed locally at the screening institution (125 at OSU, 69 at OHSU) and centrally at FM. Type of tissue analyzed for variants between local site and FM were 59 PB, 129 BM, and 6 with BM/PB mismatch. Overall agreement in presence/absence calls between local and central results for each of the 8 genes was over 95% (Table 1). There was perfect agreement for NPM1. The sensitivity was above 94% for all genes except TP53 (88.6%) and WT1 (63.6%). Failure to detect a mutation locally was primarily due to reporting of all TP53 variants, including variants of unknown significance (VUS) (5) by FM as agreed upon in the study protocol, detection at low levels below local site sensitivity cutoff (1), detection of variants in a portion of gene not covered at the local site(1)and possible artifact (1). For the WT1 gene, discordance in 5 samples included VUS (3) reported by FM ,a variant detected in a portion of the gene not covered at the local site(1).and difference in leukemic tissue analyzed with mutation not detected by the central laboratory on a PB sample, and present at the institutional lab on a BM sample; affecting the overall agreement and specificity but not sensitivity. Specificity was at least 98% for each of the 8 genes. Finally, most discrepancies in reported mutations in FLT3 (n=2), IDH1 (n=1), IDH2 (n=2), DNMT3A (n=4) and TET2 (n=5) were due to reporting of VUS in one laboratory and not by another. Conclusion: Detection of pathogenic myeloid mutations using orthogonal assays showed a high degree of concordance for genes used in therapeutic assignment on the BAMT.The small number of discordant results, in TP53 and WT1, were attributed to the reporting of VUS. This study illustrates the importance of quality control and standardization as NGS continues to be widely utilized in AML for clinical decision making, with a variety of platforms across multiple laboratories. Our next steps involve evaluating the differences in VAFs reported between local and central laboratories when a given mutation is identified, as well as the potential reasons for observed differences and clinical implications of known pathogenic mutations vs putative VUS. Disclosures Borate: Daiichi Sankyo: Consultancy; AbbVie: Consultancy; Novartis: Consultancy; Takeda: Consultancy; Pfizer: Consultancy. Vergilio:Foundation Medicine: Employment; Roche Holding AG: Equity Ownership. Stein:Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo, Inc.: Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas Pharma US, Inc: Membership on an entity's Board of Directors or advisory committees; Bioline: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees. Patel:France Foundation: Honoraria; Dava Oncology: Honoraria; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Baer:Astellas: Research Funding; Abbvie: Research Funding; AI Therapeutics: Research Funding; Forma: Research Funding; Incyte: Research Funding; Kite: Research Funding; Takeda: Research Funding. Stock:Daiichi: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Research to Practice: Honoraria; UpToDate: Honoraria; Kite, a Gilead Company: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees. Schiller:Amgen: Other, Research Funding; Astellas: Research Funding; Biomed Valley Discoveries: Research Funding; Bristol Myer Squibb: Research Funding; Celgene: Research Funding, Speakers Bureau; Constellation Pharmaceutical: Research Funding; Daiichi Sankyo: Research Funding; Eli Lilly and Company: Research Funding; FujiFilm: Research Funding; Genzyme: Research Funding; Gilead: Research Funding; Incyte: Research Funding; J&J: Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Karyopharm: Research Funding; Novartis: Research Funding; Onconova: Research Funding; Pfizer Pharmaceuticals: Equity Ownership, Research Funding; Sangamo Therapeutics: Research Funding; Agios: Research Funding, Speakers Bureau. Blum:AmerisourceBergen: Consultancy; Boehringer Ingelheim: Research Funding; Celgene: Research Funding; Astellas,: Research Funding; Xencor: Research Funding; Forma: Research Funding. Kovacsovics:Pfizer: Research Funding; Jazz: Consultancy; Novartis: Research Funding; Abbvie: Research Funding; Amgen: Consultancy, Research Funding. Foran:Agios: Honoraria, Research Funding. Druker:Pfizer: Research Funding; OHSU (licensing fees): Patents & Royalties: #2573, Constructs and cell lines harboring various mutations in TNK2 and PTPN11, licensing fees ; Cepheid: Consultancy, Honoraria; Aileron Therapeutics: #2573, Constructs and cell lines harboring various mutations in TNK2 and PTPN11, licensing fees , Membership on an entity's Board of Directors or advisory committees; ALLCRON: Membership on an entity's Board of Directors or advisory committees; Amgen: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Aptose Biosciences: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Beta Cat: Membership on an entity's Board of Directors or advisory committees, Other: Stock options; GRAIL: Equity Ownership, Other: former member of Scientific Advisory Board; Patient True Talk: Consultancy; The RUNX1 Research Program: Membership on an entity's Board of Directors or advisory committees; Vivid Biosciences: Membership on an entity's Board of Directors or advisory committees, Other: Stock options; Beat AML LLC: Other: Service on joint steering committee; CureOne: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Gilead Sciences: Other: former member of Scientific Advisory Board; ICON: Other: Scientific Founder of Molecular MD, which was acquired by ICON in Feb. 2019; Monojul: Other: former consultant; Novartis: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Patents & Royalties: Patent 6958335, Treatment of Gastrointestinal Stromal Tumors, exclusively licensed to Novartis, Research Funding; Bristol-Myers Squibb: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Research Funding; Pfizer: Other: PI or co-investigator on clinical trial(s) funded via contract with OHSU., Research Funding; Merck & Co: Patents & Royalties: Dana-Farber Cancer Institute license #2063, Monoclonal antiphosphotyrosine antibody 4G10, exclusive commercial license to Merck & Co; Dana-Farber Cancer Institute (antibody royalty): Patents & Royalties: #2524, antibody royalty; Burroughs Wellcome Fund: Membership on an entity's Board of Directors or advisory committees; Blueprint Medicines: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Patents & Royalties, Research Funding. Byrd:Gilead: Other: Travel Expenses, Research Funding, Speakers Bureau; Genentech: Research Funding; Acerta: Research Funding; TG Therapeutics: Other: Travel Expenses, Research Funding, Speakers Bureau; Novartis: Other: Travel Expenses, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Other: Travel Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Other: Travel Expenses, Research Funding, Speakers Bureau; BeiGene: Research Funding; Ohio State University: Patents & Royalties: OSU-2S. Levine:C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Isoplexis: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Loxo: Membership on an entity's Board of Directors or advisory committees; Qiagen: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Prelude Therapeutics: Research Funding; Novartis: Consultancy; Gilead: Consultancy; Lilly: Honoraria; Imago Biosciences: Membership on an entity's Board of Directors or advisory committees. Mims:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Astellas Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees.

Background: Patients ≥55 years of age with rel/ref AML who have failed to achieve complete remission (CR) after standard induction & salvage therapies do not routinely undergo allogeneic hematopoietic cell transplantation (HCT) due to inability to receive myeloablative conditioning and lack of efficacy. With the advent of recently approved targeted therapies (e.g. venetoclax, IDH inhibitors) more patients achieve CR, however durable responses in heavily pre-treated patient populations remain unsatisfactory with very few patients being transplanted. The SIERRA (Study of Iomab-B in Elderly Relapsed or Refractory AML) trial is a prospective, randomized, phase 3 trial designed to address this unmet need. We present the preliminary analysis of the first 50% of patients and analyze the proportion of patients who fail standard chemo and targeted therapies that can then successfully undergo HCT with Iomab-B-based conditioning. Study continues to enroll (N=150), primary end-point durable CR of ≥180 days. Methods: Eligible patients are ≥ 55 years with rel/ref AML (≥5% blasts), adequate organ function, and related/unrelated 8/8 HLA-matched donors. Patients are randomized (1:1) to receive Iomab-B followed 12-14 days later by reduced intensity conditioning (fludarabine(FLU)/TBI) and HCT, or to conventional care (CC). CC patients may receive investigator's choice of salvage therapy, including newly approved targeted agents such as venetoclax, IDH Inhibitors and may proceed to standard HCT if they achieve CR. If patients do not achieve CR, the study allows cross-over (CO) to Iomab-B with HCT. Results: Preliminary data are available from the first 75 patients enrolled on the SIERRA trial. Median age of 64 years (range: 55-77). All patients had active measurable disease (Table 1). Patients in this trial were heavily pretreated with 85% failing ≥2 induction therapies and 33% failing targeted therapies. Molecular and cytogenetics was 68% adverse risk. (NCCN, v1.2018) Following therapeutic dose of Iomab-B as a single agent, there was significant reduction of circulating blasts by day 3 (99%, p<0.0001), and peripheral blasts became undetectable by day 8 prior to FLU. All patients transplanted on the Iomab-B arm with data available showed median days to engraftment of ANC at 14 (range: 9-22) and platelets at 16 (range: 4-30) (Table 1). After randomization, 82% (31/38) patients in the CC arm failed salvage therapy and did not proceed to standard HCT. Significantly, 32% (12/38) of these patients received targeted therapy. 73% (8/11) of the patients receiving venetoclax with HMA or cytarabine did not adequately respond and did not proceed to standard HCT, 45% (5/11) crossed over to Iomab-B and received HCT. Following standard chemotherapies, 85% (22/26) were evaluated for CO. In total, 63% (19/30) received Iomab-B and HCT. The most common reason preventing crossover was disease progression. All crossover (Iomab-B) patients showed similar engraftment (Table 1). CC patients showed increased incidence of febrile neutropenia with grade 3 prior to CO evaluation or HCT, compared to Iomab-B patients prior to HCT (CC: 34%, Iomab-B: 8%). Iomab-B administration was generally well-tolerated with no grade 4 and 1 grade 3 infusion reaction. There were no Iomab-B-related deaths or 100 day non-relapse transplant related mortality deaths in patients on the Iomab-B arm (Table 1). Conclusion: 100% of the patients receiving HCT on the Iomab-B arm engrafted, despite a median of 29% BM blasts pre-Iomab-B. 82% of the patients on the CC arm failed to be eligible for standard of care transplant, including a high percentage of those receiving targeted therapies. On the CC arm, 63% of eligible patients crossed over to Iomab-B/HCT with robust engraftment despite a median of 35% BM blasts pre-Iomab-B. The incidence of grade 3 febrile neutropenia was higher in patients treated on the conventional care arm with salvage therapy vs. those treated on the Iomab-B arm prior to HCT. In conclusion, despite advanced age, active disease and heavily pre-treated patients, 68% (50/74) of all patients enrolled in the SIERRA trial were able to undergo HCT after reinduction and targeted conditioning with Iomab-B. These results show significant improvements in the current rates of transplantation in this patient population. This SIERRA trial is currently enrolling. For full study details see www.sierratrial.com or clinicaltrials.gov (NCT02665065). Disclosures Gyurkocza: Actinium Pharmaceuticals: Research Funding. Nath:Astellas: Consultancy; Actinium: Consultancy; Daiichi Sankyo: Consultancy. Stiff:Amgen: Research Funding; Gamida-Cell: Research Funding; Incyte: Research Funding; Unum: Research Funding; Cellectar: Research Funding; Gilead/Kite Pharma: Consultancy, Honoraria, Research Funding. Tomlinson:Actinium Pharmaceuticals, Inc: Other: Travel Support. Abhyankar:Incyte: Speakers Bureau; Therakos: Other: Consulting, Speakers Bureau. Hari:AbbVie: Consultancy, Honoraria; Cell Vault: Equity Ownership; Sanofi: Honoraria, Research Funding; Spectrum: Consultancy, Research Funding; Amgen: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Research Funding; Janssen: Consultancy, Honoraria; Kite: Consultancy, Honoraria. Al-Kadhimi:Seattle Genetics: Other: Stocks; Celldex Biotech: Other: Stocks. Foran:Agios: Honoraria, Research Funding. Orozco:Actinium Pharmaceuticals: Research Funding. Van Besien:Miltenyi Biotec: Research Funding. Sabloff:Celgene: 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; ASTX: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals, Inc: 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; Pfizer Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi Canada: Research Funding. Kebriaei:Pfizer: Honoraria; Kite: Honoraria; Jazz: Consultancy; Amgen: Research Funding; Pfizer: Honoraria; Kite: Honoraria; Jazz: Consultancy; Amgen: Research Funding. Levy:Takeda (Millennium Pharmaceuticals): Consultancy. Lazarus:Adaptive Biotechnologies: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Actinium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Teva Pharmaceuticals: Speakers Bureau; Biosight: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; AstraZeneca: Honoraria, Speakers Bureau; Bristol Myers Squibb: Honoraria, Speakers Bureau; Pluristem Therapeutics, Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; CSL Behring: Consultancy; Genentech: Speakers Bureau. Giralt:Novartis: Consultancy; Actinium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Amgen: Consultancy, Research Funding; Kite: Consultancy; Miltenyi: Research Funding; Takeda: Consultancy, Research Funding; Johnson & Johnson: Consultancy, Research Funding; Spectrum Pharmaceuticals: Consultancy. Berger:Actinium Pharmaceuticals, Inc: Employment, Equity Ownership. Reddy:Actinium Pharmaceuticals: Employment. Pagel:Pharmacyclics: Consultancy; AstraZeneca: Consultancy; Gilead Sciences: Consultancy.

Introduction: Germline RUNX1 mutations/deletions result in a Familial Platelet Disorder with propensity to Myeloid Malignancy (FPDMM); an autosomal dominant condition characterized by thrombocytopenia, qualitative platelet defects, and myeloid clonal evolution (MDS and AML). The advent of next generation sequencing (NGS) has allowed detection of clonal cytopenias of unclear significance (CCUS) prior to bone marrow (BM) morphological changes. Somatic RUNX1 mutations (RUNX1MT) can be seen in myeloid malignances, including MDS/MPN overlap syndromes, with an indeterminate prognostic impact. We carried out this study to define the landscape of clonal evolution in FPDMM patients and to compare germline RUNX1MT with somatic mutations. Methods After IRB approval, families with RUNX1MT FPDMM (detected by germline sequencing and deletion/duplication assays) and patients with 2016, WHO-defined MDS/MPN overlap syndromes (except JMML) were included in the study. Index patients with FPDMM underwent BM biopsies and in select cases NGS at diagnosis and then as indicated for follow up, or at disease progression. All MDS/MPN overlap syndrome patients underwent a 29-gene panel NGS assay on BM samples obtained at diagnosis by previously described methods (Patnaik et al., BCJ 2016). Results Eight index patients with FPDMM were included; median age at diagnosis 58 (range, 0-71) years, 3 (38%) males (Figure A). Four (50%) had intragenic deletions involving multiple exons in 3 cases and 2 nucleotides in 1 case, 1 (13%) each had missense, frameshift and splice site mutations, while 1 (13%) patient had a whole gene deletion (Figure C). Notably, in 4 (100%) of 4 patients with large deletions, NGS testing was negative for RUNX1 abnormalities. Four (50%) index patients presented with a myeloid neoplasm; JAK2, SRSF2, ASXL1 mutant CMML, MDS/MPN-U with trisomy 8, AML with del7q and normal karyotype AML (negative NGS). Three (38%) index patients had CCUS at diagnosis with TET2 (67%) being the most common acquired mutation, and others including SRSF2, EZH2, and SF3B1. Cumulatively, myeloid clonal evolution was seen in 7 (88%) patients. Three (38%) index patients (AML-2, CMML-1) underwent allogeneic HCT, and at last follow up were in remission. Median age at myeloid clonal evolution was 61 (range, 4-71) years; median overall survival (OS) from date of myeloid clonal evolution was 12 (range, 7-53) months. For the comparative analysis, 499 patients with MDS/MPN overlap syndromes were included; 382 (77%) with CMML, 48 (10%) with MDS/MPN-RS-T (MDS/MPN with ring sideroblasts and thrombocytosis), 17 (3%) with aCML (atypical CML), and 52 (10%) with MDS-MPN-U (unclassifiable). Median age at diagnosis was 71 (range, 18-99) years, and 329 (66%) were male. RUNX1MT were detected in 57 (11%) patients; 43 (11%) with CMML, 5 (30%) with aCML, and 9 (17%) with MDS-MPN-U. No RUNX1MT were found in MDS-MPN-RS-T. Overall, 62 RUNX1MT were identified in 57 patients, with 52 (39 CMML, 4 aCML, 9 MDS-MPN-U) and 5 (4 CMML, 1 aCML) patients harboring 1 and 2 RUNX1MT, respectively. RUNX1MT spanned the entire coding sequence without specific hotspots (Figure B): 27 (44%) were missense, 2 (3%) involved the splicing sites, 5 (8%) were nonsense and 28 (45%) were frameshift. There was only one RUNX1MT (R273K), seen in both germline and somatic patients (Figures B and C). Compared to wild type patients, RUNX1MT patients with MDS/MPN overlap syndromes had significantly lower platelet counts (median 72 vs 117 x109/L, p<0.0001), without any other phenotypic differences. In the somatic RUNX1MT cohort, co-occurring mutations included ASXL1 (54%), SRSF2 (54%), TET2 (49%), and NRAS (28%), with NRAS (28% vs 13%, p=0.0028), and SRSF2 (54% vs 39%, p=0.0218) mutations clustering with RUNX1MT. Median OS of the entire cohort was 29 (range, 0-170) months. On univariate analysis, while there was a trend for an inferior OS in RUNX1MTvs wild type patients (20 vs 29 months, p=0.0523), the leukemia-free survival was clearly inferior (p=0.0175, Figure D). Conclusion RUNX1 MT FPDMM is a germline predisposition syndrome with a high rate of myeloid clonal evolution (88%), including clonal cytopenias (38%). Germline RUNX1MT have minimal overlap with somatic mutations seen in myeloid malignancies, with NGS testing often missing RUNX1 deletions. Somatic RUNX1MT in myeloid malignancies are significantly associated with thrombocytopenia and an inferior leukemia-free survival. Figure Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.