Abstract: VEXAS is caused by somatic mutations in UBA1 (UBA1mut) and characterized by heterogenous systemic auto-inflammation and progressive hematologic manifestations, meeting criteria for myelodysplastic syndrome (MDS) and plasma cell dyscrasias. The landscape of myeloid-related gene mutations leading to typical clonal hematopoiesis (CH) in these patients is unknown. Retrospectively, we screened 80 VEXAS patients for CH in their peripheral blood (PB) and correlated findings with clinical outcomes in 77. UBA1mutwere most common at hotspot p.M41 (median variant allele frequency/VAF = 75%). Typical CH mutations co-occurred with UBA1mut in 60% of patients, mostly in DNMT3A and TET2, and were not associated with inflammatory or hematologic manifestations. In prospective single-cell proteogenomic sequencing (scDNA), UBA1mutwas the dominant clone, present mostly in branched clonal trajectories. Based on integrated bulk and scDNA analyses, clonality in VEXAS followed two major patterns: with either typical CH preceding UBA1mutselection in a clone (Pattern 1), or occurring as an UBA1mutsubclone or in independent clones (Pattern 2). VAF in PB differed markedly between DNMT3A and TET2 clones (median VAF of 25% vs 1%). DNMT3A and TET2 clones associated with hierarchies representing patterns 1 and 2, respectively. Overall survival for all patients was 60% at 10 years. Transfusion-dependent anemia, moderate thrombocytopenia, and typical CH mutations, each correlated with poor outcome. In VEXAS, UBA1mut cells are the primary cause of systemic inflammation and marrow failure, being a new molecularly defined somatic entity associated with MDS. VEXAS-associated MDS is distinct from classical MDS in its presentation and clinical course.

Abstract: Most patients with SBP progress to MM after definitive radiation therapy as their primary treatment. Whether the presence of high-risk (HR) cytogenetic abnormalities by FISH in the clonal plasma cells, obtained either directly from the diagnostic SBP tissue or the corresponding bone marrow examination at the time of diagnosis, is associated with a shorter time to progression (TTP) to MM is unknown. This study evaluated all patients diagnosed with SBP at the Mayo Clinic from January 2012 to July 2022. The presence of del(17p), t(14;16), t(4;14), or +1q (gain or amplification) by FISH in clonal plasma cells was defined as HR. A total of 114 patients were included in this cohort, and baseline FISH was available for 55 patients (48%), of which 22 were classified as HR (40%). The median TTP to MM for patients with SBP and HR FISH was 8 months (95%CI: 6.3-26) compared to 42 months (95%CI: 25-NR) in patients with SBP without HR FISH (p & lt;0.001). In a multivariate analysis, only HR FISH was a significant predictor for shorter TTP to MM, independent of minimal marrow involvement and an abnormal serum free light chain (sFLC) ratio at diagnosis. Deletion (17p) and +1q abnormalities were the most common FISH abnormalities responsible for the short TTP to MM. Thus, assessing for HR FISH abnormalities in clonal plasma cells derived from either the diagnostic SBP tissue or the staging bone marrow examination of patients with newly diagnosed SBP is feasible and prognostic for a shorter TTP to MM.

Abstract: Introduction Outcomes after allogeneic stem cell transplant (AHSCT) are influenced by both disease and patient related factors. We hypothesized that combining hematopoietic stem cell transplant comorbidity-age index (HCT-CI/Age) and the refined disease risk index (DRI-R) would better predict survival post-transplant and developed a hematopoietic cell Transplant-composite risk (HCT-CR) model, which we tested in a group of patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) treated at MD Anderson Cancer Center (MDACC). Methods The study included consecutively treated patients, 18 years of age or older, with AML and MDS who received first AHSCT at MDACC between 2005-2016. Donors were HLA-matched related (MRD), HLA-matched unrelated (MUD), 9/10 MUD (MMUD), haploidentical (HAPLO) and 9/10 MRD (MMRD). To develop this model, patients were assigned into 4 groups: 1. Patients with low/intermediate DRI-R and HCT-CI/Age 〈 /=3 (low-risk); 2. Patients with low/intermediate DRI-R and HCT-CI/Age 〉 3 (intermediate-risk); 3. Patients with high/very high DRI-R and HCT-CI/Age 〈 /=3 (high-risk); and 4. Patients with high/very high DRI-R and HCT-CI/Age 〉 3 (very high-risk). Primary endpoint was 5-year overall survival (OS); other outcomes assess were progression-free survival (PFS), non-relapse mortality (NRM) and relapse rate. The stability of the HCT-CR model was tested by bootstrap resampling. The discrimination power of the HCT-CR model on OS was compared with that of the DRI-R, HCT-CI/Age and cytogenetic risk model by the Harrell C-concordance index. Results The analysis included 942 patients (492 male and 450 female) with a median age of 53 years (range 18-65 years). Cytogenetic data at diagnosis was available in 928 (98.5%) patients and was favorable, intermediate and adverse cytogenetic risk in 63 (7%), 523 (56%) and 342 (37%), respectively. Fifty-five (6%), 399 (43%), 392 (42%) and 82 (9%) patients had low, intermediate, high and very high DRI-R, respectively. The HCT-CI/Age was available in 922 (98%) patients with the median score of 3 (range 0-18). Donor types included MRD (n=377), MUD (n=416), MMUD (n=68), HAPLO (n=73) and MMRD (N=8). Using the HCT-CR model, patients were stratified into 4 risk groups: low (N=272), intermediate (N=168), high (N=284) and very high-risk (N=184), with significantly different survival. The 5-year OS rates for patients in low, intermediate, high and very high-risk group were 57%, 48%, 34%, and 26%, respectively (P 〈 0.001) (Figure 1). The probability of 5-year PFS rates were 55%, 46%, 30% and 23% for these 4 risk groups, respectively (P 〈 0.001). Post-transplant outcomes of all 4 HCR-CR groups are summarized in Table 1. Compared with the low HCT-CR risk group, patients with intermediate, high and very high-risk group had a significantly increased risk of death with HR of 1.42 (95%CI 1.06-1.91; P=0.02), 2.11 (95%CI 1.65-2.70; P 〈 0.001), and 3.02 (95%CI 2.32-3.92; P 〈 0.001), respectively. The significant association between OS and the HCT-CR groups persisted after adjusting for potential confounders with adjusted HR of 1.37 (95%CI 1.02-1.85) for intermediate, 2.08 (95%CI 1.62-2.67) for high and 2.92 (95%CI 2.23-3.82) for very high-risk group when compared with low risk group. The stability of the hematopoietic cell transplant - composite risk model was confirmed in a bootstrap resampling procedure. Among 500 new datasets, on average, patients in intermediate, high and very high-risk group had significantly increased risk of death after transplant when compared with low risk group with HR of 1.39, 2.11 and 2.98, respectively. Results from the concordance test showed that the HCT-CR model provided better discriminative capacity for prediction of OS when compared with DRI-R, HCT-CI/Age and cytogenetic risk group models with C-index of 0.62 versus 0.60, 0.54 and 0.55, respectively. The goodness of fit test showed that the HCT-CR model fit the data significantly better than the other models (P 〈 0.001). Conclusion Combining disease and patient-related factors provides better survival stratification for patients with AML/MDS receiving AHSCT. This novel HCT-CR model will be validated in patients with all diseases undergoing allogeneic hematopoietic stem cell transplantation and results will be presented at the meeting. Disclosures Oran: ASTEX: Research Funding; Celgene: Consultancy, Research Funding; AROG pharmaceuticals: Research Funding. Champlin:Otsuka: Research Funding; Sanofi: Research Funding.

Abstract: Some germline variants are predicted to disrupt protein function in HLH-associated genes. Such variants are neither enriched in adult-onset HLH nor associated with specific clinical or laboratory features of HLH.

Abstract: Improvements in antisense technology have now enabled clinically relevant therapeutic credentialing of the noncoding genome. MALAT1 is a long non-coding RNA that, among other functions, is thought to serve as a nuclear scaffold for splicing and transcription factors. MALAT1 expression is associated with inferior prognosis across solid tumors and its depletion impairs proliferation and metastasis in preclinical solid tumor models. We found that elevated MALAT1 levels are independently associated with inferior overall survival in patients with CMML. Further, RNA-sequencing of primary CMML monocytes identified MALAT1 as the fourth most over-expressed transcript compared to controls. Therefore, we explored the biologic relevance and therapeutic candidacy of MALAT1 across several human and murine models of CMML. First, we crossed NRASQ61R/+Mx1-cre driven mice, which display a CMML-like phenotype, to MALAT1KO/KOmice. Although MALAT1KO/KOmice did not have abnormalities in complete blood counts, immunophenotyping of the hematopoietic stem cell (HSC) compartment identified statistically significantly lower numbers of HSC compared to wild type (WT) controls and a non-significant decrease in NRASQ61R/+/MALAT1KO/KOcompared to NRASQ61R/+alone. This decrease in HSC was not a result of impaired self-renewal as no differences were observed in these models after in vivo competitive transplant experiments. Therefore, we reasoned that MALAT1 expression may be controlling HSC differentiation. To test this, we transformed bone marrow cells from these models with an estrogen-regulated (ER) Hoxb8 construct enabling cells to maintain an HSC state until ER is withdrawn and myeloid differentiation is induced. ER-Hoxb8NRASQ61R/+/MALAT1KO/KOcells had increased basal levels of Gr-1 compared to ER-Hoxb8 transformed NRASQ61R/+alone that was dramatically enhanced upon ER withdrawal suggesting that MALAT1 depletion regulates myeloid differentiation. These findings were validated by assessment of morphology, transcriptome, and in vivo immunophenotyping of bone marrow and spleen cells. Further, moribund NRASQ61R/+/MALAT1KO/KOmice displayed a reduction in organomegaly typically associated with leukemic burden. We validated this in human monocytic leukemia by generating MALAT1 depleted THP-1 isogeneic cell lines using the CRISPR/Cas9 system. MALAT1 depleted THP-1 cells (MKO) had greater terminal differentiation according to immunophenotypic markers and morphology that was greatly enhanced when treated with phorbol myristate acetate. Last, MKO orthotopic xenografts demonstrated inferior human leukemia engraftment and decreased spleen and liver weights, and heterotopic xenografts exhibited reduced tumor volume, collectively suggesting diminished leukemic burden. Because ATRA has been clinically tested in CMML with minimal effects, we next explored whether MALAT1 depletion could potentiate ATRA differentiation in CMML. First, we treated MKO cells with ATRA and observed a large induction of myeloid differentiation by marker expression and morphologic assessment compared to isogenic controls. This was validated by NRASQ61R/+/MALAT1KO/KOmice demonstrating that ATRA more robustly induced differentiation compared to vehicle which was not seen in NRASQ61R/+/MALAT1+/+mice. Next, we tested MALAT1 antisense oligonucleotides (ASOs) currently under clinical development in THP-1 cells +/- ATRA and demonstrated both an increase in myeloid differentiation and apoptosis compared to ATRA alone. To test this therapeutic strategy in primary CMML specimens, we generated CMML patient-derived xenografts (n=30 mice) and treated each with ASO, ATRA, the combination, or controls and identified a more robust reduction in human HSC engraftment with the combination. To explore the mechanistic basis for these findings, we performed RNA-sequencing of MALAT1-depleted or control cells and identified that CREB target genes were differentially expressed. Basal protein levels of p-CREB were also decreased in MKO cells and were further reduced in the nucleus of MKO by western and microscopy. Lastly, overexpression of WT or constitutively active CREB but not its dominant negative rescued the differentiation effect seen in ATRA treated MKO cells. Taken together, MALAT1 is a novel, CREB-dependent regulator of myeloid differentiation and its depletion potentiates ATRA therapy. Disclosures Cluzeau: Menarini: Consultancy; Jazz Pharma: Consultancy; Abbvie: Consultancy. Komrokji:celgene: Consultancy; pfizer: Consultancy; DSI: Consultancy; JAZZ: Speakers Bureau; Novartis: Speakers Bureau; JAZZ: Consultancy; Agios: Consultancy; Incyte: Consultancy. MacLeod:Ionis Pharmaceuticals: Employment. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Epling-Burnette:Forma Therapeutics: Research Funding; Celgene Corporation: Patents & Royalties, Research Funding; Incyte Corporation: Research Funding.

Abstract: Chronic obstructive pulmonary disease (COPD) is associated with age and smoking, but other determinants of the disease are incompletely understood. Clonal hematopoiesis of indeterminate potential (CHIP) is a common, age-related state in which somatic mutations in clonal blood populations induce aberrant inflammatory responses. Patients with CHIP have an elevated risk for cardiovascular disease, but the association of CHIP with COPD remains unclear. We analyzed whole-genome sequencing and whole-exome sequencing data to detect CHIP in 48 835 patients, of whom 8444 had moderate to very severe COPD, from four separate cohorts with COPD phenotyping and smoking history. We measured emphysema in murine models in which Tet2 was deleted in hematopoietic cells. In the COPDGene cohort, individuals with CHIP had risks of moderate-to-severe, severe, or very severe COPD that were 1.6 (adjusted 95% confidence interval [CI], 1.1-2.2) and 2.2 (adjusted 95% CI, 1.5-3.2) times greater than those for noncarriers. These findings were consistently observed in three additional cohorts and meta-analyses of all patients. CHIP was also associated with decreased FEV1% predicted in the COPDGene cohort (mean between-group differences, −5.7%; adjusted 95% CI, −8.8% to −2.6%), a finding replicated in additional cohorts. Smoke exposure was associated with a small but significant increased risk of having CHIP (odds ratio, 1.03 per 10 pack-years; 95% CI, 1.01-1.05 per 10 pack-years) in the meta-analysis of all patients. Inactivation of Tet2 in mouse hematopoietic cells exacerbated the development of emphysema and inflammation in models of cigarette smoke exposure. Somatic mutations in blood cells are associated with the development and severity of COPD, independent of age and cumulative smoke exposure.

Abstract: Background: Acute myeloid leukemia (AML) remains a therapeutic challenge in elderly or unfit patients (pts) and high-risk subgroups. DEC10-VEN has shown high efficacy in these pts. However, outcomes in specific mutational subgroups are unknown. Here we present the results in mutational subgroups and resistance patterns in pts treated with DEC10-VEN (NCT03404193). Methods: This single-institution phase II study enrolled pts with newly diagnosed (ND) AML ( & gt;60 years) ineligible for intensive chemotherapy, relapsed or refractory (R/R) AML, and secondary AML (sAML) with or without prior therapy. DEC was given 20 mg/m2 IV daily on day 1-10 until CR/CRi, followed by 5-day cycles. VEN was given for 21-28 days in cycle 1 and day 1-21 or shorter duration thereafter. BCR-ABL1 and FLT3 inhibitors (FLT3i) were allowed as appropriate. Amplicon-based next-generation sequencing targeting the entire coding regions of 81 myeloid genes was performed on screening bone marrow aspirate with a MiSeq platform. The analytical sensitivity was established at 5% mutant reads in a background of wild type reads. Previously described somatic mutations registered in COSMIC were considered as potential driver mutations. Results: High response rates were noted across mutational subgroups of both previously untreated and previously treated AML (Table 1 and 2). The median follow-up for the entire cohort was 8.1 months (mo). In previously untreated AML (ND AML and untreated sAML, n=49), the CR/CRi rate in NPM1mut pts was 100% (n=13), in RUNX1mut pts was 100% (n=8), in IDH1/2mut pts was 92% (n=12), in TP53mut pts was 85% (n=13), and in N/KRASmut pts was 77% (n=13, Table 1). The median overall survival (OS) among previously untreated NPM1mut pts was not reached (NR), for RUNX1mut pts was NR, for IDH1/2mut pts was 12.4 mo, for TP53mut pts was 5.8 mo, and for N/KRASmut was 12.4 mo. The median DOR for NPM1mut pts was 8.5 mo, for RUNX1mut pts was NR, for IDH1/2mut pts was NR, for TP53mut pts was 5.7 mo, and for N/KRASmut pts was 6.7 mo (Table 1). The one pt with NPM1mut who relapsed had co-occurring ASXL1mut and NRASmut at screening. In previously treated AML (treated sAML and R/R AML, n=52), the CR/CRi rate in NPM1mut pts was 60% (n=10), in IDH1/2mut pts was 50% (n=8), and in TP53mut pts was 21% (n=14, Table 2). The median OS for NPM1mut pts was NR, for IDH1/2mut pts was 7.8 mo, and for TP53mut pts was 4.5 mo. The median DOR for NPM1mut pts was NR, for IDH1/2mut pts was NR, and for TP53mut pts was 3.2 mo (Table 2). The only grade 4 TLS event occurred in a pt with NPM1mut and IDH2mut and baseline WBC of 28x109/L. 2 other pts with high % of PB blasts and FLT3mut experienced grade 3 TLS. Among 15 pts with FLT3-ITD/TKD, 8 pts received sorafenib, 5 pts received midostaurin, and 2 pts did not receive FLT3i (1 insurance non-approval and 1 very low ITD ratio). Among ND FLT3mut AML pts (n=7), the CR/CRi rate was 100% (n=5) in pts receiving FLT3i with negative MRD by flow cytometry (FCM) in 80% pts, with median OS of 8.8 mo and median DOR not reached (Table 1). Of the 2 FLT3-ITD pts not receiving FLT3i, 1 pt with FLT3-ITD of 0.47 did not respond, and 1 pt with low FLT3-ITD of 0.02 achieved CR MRD-. Among previously treated FLT3mut pts (n=8), all received FLT3i with a CR/CRi rate of 38% (n=5) and negative MRD by FCM in 75% pts tested (3/4). The median OS was 6.4 mo and the median DOR was 6.6 mo (Table 2). 2 pts had received prior FLT3i, 1 pt achieved morphologic leukemia-free state (MLFS), and the other pt did not respond. 1 pt with new t(9;22) identified at 4th relapse achieved a MLFS after 1 cycle with addition of ponatinib and transitioned to allogeneic transplant. Overall, pts with durable CR/CRi/MLFS sustained without relapse till data cut-off, had significantly higher proportion of mutations in NPM1 and DNA methylation pathways (DNMT3A, TET2, IDH1/2) compared to pts refractory to, or relapsing after DEC10-VEN (Table 3, Fig. 1). Pts with relapsed or refractory disease to DEC10-VEN had significantly higher frequency of N/KRASmut, ASXL1mut, and TP53mut compared to pts with durable CR/CRi/MLFS (Table 3, Fig. 1). TP53mut associated with worse OS on multivariable analysis (HR 2.9, 95% CI 1.4-5.7, p=0.003). Conclusion: DEC10-VEN is an effective regimen for AML. Addition of FLT3i to DEC10-VEN was safe and may improve upon responses in FLT3mut pts. Mutations in NPM1 and DNA methylation pathways were associated with more durable responses while mutations in ASXL1, RAS and TP53 were associated with refractory disease or relapse. Disclosures Maiti: Celgene: Other: research funding. Cortes:BiolineRx: Consultancy; Forma Therapeutics: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Astellas Pharma: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Sun Pharma: Research Funding; Immunogen: Consultancy, Honoraria, Research Funding; Merus: Consultancy, Honoraria, Research Funding; Biopath Holdings: Consultancy, Honoraria. Pemmaraju:samus: Research Funding; celgene: Consultancy, Honoraria; abbvie: Consultancy, Honoraria, Research Funding; incyte: Consultancy, Research Funding; mustangbio: Consultancy, Research Funding; cellectis: Research Funding; Stemline Therapeutics: Consultancy, Honoraria, Research Funding; novartis: Consultancy, Research Funding; plexxikon: Research Funding; Daiichi-Sankyo: Research Funding; sagerstrong: Research Funding; affymetrix: Research Funding. Daver:Servier: Research Funding; Agios: Consultancy; Abbvie: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Agios: Consultancy; Celgene: Consultancy; Hanmi Pharm Co., Ltd.: Research Funding; Forty-Seven: Consultancy; Forty-Seven: Consultancy; Immunogen: Consultancy, Research Funding; Immunogen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Astellas: Consultancy; BMS: Consultancy, Research Funding; Astellas: Consultancy; Daiichi Sankyo: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Jazz: Consultancy; Jazz: Consultancy; NOHLA: Research Funding; Karyopharm: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Servier: Research Funding; Genentech: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; Glycomimetics: Research Funding; Sunesis: Consultancy, Research Funding; Otsuka: Consultancy; NOHLA: Research Funding; Celgene: Consultancy; Otsuka: Consultancy; Glycomimetics: Research Funding; Novartis: Consultancy, Research Funding; Sunesis: Consultancy, Research Funding; Hanmi Pharm Co., Ltd.: Research Funding; Pfizer: Consultancy, Research Funding. Ravandi:Cyclacel LTD: Research Funding; Macrogenix: Consultancy, Research Funding; Xencor: Consultancy, Research Funding; Menarini Ricerche: Research Funding; Selvita: Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Garcia-Manero:Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Borthakur:Cyclacel: Research Funding; AbbVie: Research Funding; Eli Lilly and Co.: Research Funding; Xbiotech USA: Research Funding; Merck: Research Funding; Bayer Healthcare AG: Research Funding; Agensys: Research Funding; Janssen: Research Funding; NKarta: Consultancy; BioTheryX: Membership on an entity's Board of Directors or advisory committees; Arvinas: Research Funding; Incyte: Research Funding; Tetralogic Pharmaceuticals: Research Funding; Strategia Therapeutics: Research Funding; Oncoceutics: Research Funding; BioLine Rx: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncoceutics, Inc.: Research Funding; GSK: Research Funding; BMS: Research Funding; Cantargia AB: Research Funding; FTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Argenx: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Consultancy; Novartis: Research Funding; Eisai: Research Funding; Polaris: Research Funding; AstraZeneca: Research Funding. Short:Takeda Oncology: Consultancy, Research Funding; AstraZeneca: Consultancy; Amgen: Honoraria. Alvarado:Jazz Pharmaceuticals: Research Funding; Abbott: Honoraria. Kadia:AbbVie: Consultancy, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Bioline RX: Research Funding; BMS: Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Takahashi:Symbio Pharmaceuticals: Consultancy. Jain:Janssen Pharmaceuticals, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics, an AbbVie company: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; ADC Therapeutics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Research Funding; AstraZeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Servier: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Cellectis: Research Funding; Verastem: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Precision Biosciences: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnologies: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sasaki:Otsuka: Honoraria; Pfizer: Consultancy. Andreeff:NIH/NCI: Research Funding; CPRIT: Research Funding; Breast Cancer Research Foundation: Research Funding; Oncolyze: Equity Ownership; Oncoceutics: Equity Ownership; Senti Bio: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Eutropics: Equity Ownership; Aptose: Equity Ownership; Reata: Equity Ownership; 6 Dimensions Capital: Consultancy; Center for Drug Research & Development: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy; AstaZeneca: Consultancy; Daiichi Sankyo, Inc.: Consultancy, Patents & Royalties: Patents licensed, royalty bearing, Research Funding; Jazz Pharmaceuticals: Consultancy; Celgene: Consultancy; Cancer UK: Membership on an entity's Board of Directors or advisory committees; NCI-CTEP: Membership on an entity's Board of Directors or advisory committees; German Research Council: Membership on an entity's Board of Directors or advisory committees; Leukemia Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; NCI-RDCRN (Rare Disease Cliln Network): Membership on an entity's Board of Directors or advisory committees; CLL Foundation: Membership on an entity's Board of Directors or advisory committees; BiolineRx: Membership on an entity's Board of Directors or advisory committees. Bose:CTI BioPharma: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; Incyte Corporation: Consultancy, Research Funding, Speakers Bureau; Celgene Corporation: Consultancy, Research Funding; Blueprint Medicine Corporation: Consultancy, Research Funding; Kartos: Consultancy, Research Funding; Constellation: Research Funding; Pfizer: Research Funding; Astellas: Research Funding. Jabbour:Pfizer: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; AbbVie: Consultancy, Research Funding; Adaptive: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Cyclacel LTD: Research Funding; BMS: Consultancy, Research Funding. Thompson:AbbVie: Research Funding; Amgen: Consultancy, Research Funding; Pfizer: Research Funding; Pharmacyclics: Research Funding; Genentech: Consultancy, Honoraria; Gilead: Consultancy, Honoraria. Zhang:The University of Texas M.D.Anderson Cancer Center: Employment. Kantarjian:Daiichi-Sankyo: Research Funding; BMS: Research Funding; Cyclacel: Research Funding; Ariad: Research Funding; AbbVie: Honoraria, Research Funding; Takeda: Honoraria; Novartis: Research Funding; Pfizer: Honoraria, Research Funding; Jazz Pharma: Research Funding; Immunogen: Research Funding; Amgen: Honoraria, Research Funding; Astex: Research Funding; Agios: Honoraria, Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees. Konopleva:Genentech: Honoraria, Research Funding; Ascentage: Research Funding; Kisoji: Consultancy, Honoraria; Reata Pharmaceuticals: Equity Ownership, Patents & Royalties; Ablynx: Research Funding; Astra Zeneca: Research Funding; Eli Lilly: Research Funding; Cellectis: Research Funding; Amgen: Consultancy, Honoraria; F. Hoffman La-Roche: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Forty-Seven: Consultancy, Honoraria; Stemline Therapeutics: Consultancy, Honoraria, Research Funding; Calithera: Research Funding; Agios: Research Funding. DiNardo:agios: Consultancy, Honoraria; medimmune: Honoraria; notable labs: Membership on an entity's Board of Directors or advisory committees; syros: Honoraria; jazz: Honoraria; abbvie: Consultancy, Honoraria; celgene: Consultancy, Honoraria; daiichi sankyo: Honoraria. OffLabel Disclosure: FLT3 inhibitors, used in combination with decitabine and venetoclax

Abstract: Introduction Germline predisposition syndromes (GPS) are inherited disorders associated with germinal aberrations that increase the risk of malignancies. While aberrations in certain genes increase the risk for all types of malignancies (Tp53, ATM, CDKN2A, CHEK2), there is a growing list of genes associated specifically with hematological malignancies (GATA2, RUNX1, DDX41, ETV6, ANKRD26). At our institution, we have established a hematology GPS clinic to diagnose and manage GPS and with this report, detail our experience with 130 patients. Methods GPS were investigated in pediatric and adult patients with one or more first degree relatives with hematological/visceral malignancies or in those with antecedent thrombocytopenia (ANKRD26, RUNX1, ETV6), or with specific syndromic features (short telomere syndromes/STS, GATA2 haploinsufficiency, Fanconi anemia/FA, Shwachman-Diamond syndrome/SDS). Depending on the phenotype, specific functional assays such as flow-FISH for telomere length assessment and chromosomal breakage assays were ordered. After informed consent and genetic counselling, germline testing was carried out on peripheral blood mononuclear cell, skin fibroblast, or hair follicle-derived DNA. A custom-designed marrow failure NGS panel (200 genes) was used in most cases and interrogation of variants, in silico studies, and functional assays were carried out as previously described (Mangaonkar et al MC Proc 2019). Copy number variations were identified by aCGH. At the time of progression/worsening cytopenias, bone marrow/lymph node biopsies and NGS (next generation sequencing) were carried out where indicated. Results 130 patients with germline predisposition have been identified to date. The spectrum of disorders seen include STS 29 (22%), FA 17 (13%), GATA2 16 (12%), Diamond Blackfan anemia/DBA 13 (10%), RUNX1-FPD 12 (9%), ATM deletions/mutations 11 (8%), ANKRD26 6 (5%), SDS 5 (4%), DDX41 4 (3%), MPL 3 (2%), CHEK2, MECOM, Tp53 mutations 2 (2%) each, and CBL, CEPBA, ELANE, NF1, CDKN2A, CSF3R, ETV6, and GATA1 mutations, 1 (1%) each. Evidence for clonal evolution (CCUS) and hematological malignancies were seen in 51 (39%) patients, involving all the aforementioned genes/syndromes with the exception of DBA, CBL, ETV6, MPL, CSF3R, and GATA1. Seven (64%) of 11 patients with germline ATM deletions/mutations developed lymphoid malignancies; homozygous ATM (Follicular NHL-1, Burkitt lymphoma-1, T-ALL-1, T-LPD-1) and heterozygous ATM (T-PLL-1, DLBCL-1, CLL-1). Clonal evolution occurred in 11 (69%) of 16 GATA2 haploinsufficient patients (CCUS-2, MDS-3, CMML-1, AML-5) and in 7 (58%) of 12 RUNX1-FPD patients (CCUS-1, MDS-1, MDS/MPN-3, AML-2). Five of 29 (17%) STS patients had clonal progression (CCUS-2, MDS-2, AML-1), and 5 (29%) of 17 FA patients progressed to MDS-2 or AML-3. JMML was seen in one patient with a germline NF1 mutation, while 1 (20%) of 5 SDS patients progressed to AML. NGS data at progression was available in 24 (55%) of 44 myeloid/CCUS progressions, with somatic truncating ASXL1 mutations being most frequent (29%), followed by RAS pathway mutations (15%). AML/MDS progressions in STS, FA, and SDS were universally associated with complex/monosomal karyotypes, translating to refractory disease. Seventeen (39%) of 44 patients with myeloid predisposition underwent allogenic HCT (GATA2-7, FA-3, RUNX1-FPD-3, STS-2, NF1-1, Tp53-1), with 10 (59%) being alive at last follow up (Table 1). Conclusion We demonstrate the spectrum of germline aberrations associated with predisposition to hematological malignancies and outline the phenotypic heterogeneity of clonal transformation. The advent of NGS allows identification of clonal progression earlier than morphological changes, with mutations in ASXL1 and RAS pathway genes being commonly implicated. This study supports the universal development of dedicated germline predisposition clinics. Disclosures Pruthi: CSL Behring: Honoraria; Genentech Inc.: Honoraria; Bayer Healthcare: Honoraria; HEMA Biologics: Honoraria; Instrumentation Laboratory: Honoraria; Merck: Honoraria.