Viswanatha, David S.

e19010 Background: Mutated DEAD-box helicase 41 (m DDX41), and mutated GATA2 are germline mutations associated with familial predisposition syndromes. In this study, we compare the clinical characteristics and survival outcomes (OS) of m DDX41 and m GATA2 MN patients (pts). Methods: We retrospectively screened pts who had next-generation sequencing (NGS) (OncoHeme panel) performed at Mayo Clinic. 4,524 consecutive pts (2018-2021) were screened for DDX41 mutations and 3,872 for GATA2 mutations (2015-2020) and included 36 MN pts with m DDX41 genetic alterations, and 55 m GATA2 MN pts. m GATA2 cases were included at NGS date while m DDX41 were included at diagnosis date. Germline workup was not done in all cases. JMP 16.2.0 Software was used for statistical analysis. Results: Patient characteristics: The most common diagnosis was MDS (N = 22, 61% in m DDX41 N = 17, 31% in m GATA2 group; p = .0044). MDS/MPN overlap was seen in m GATA2 group only; (29% vs. 0%; p = .0004). Majority of pts were males with median age of 68 and 67 years for m DDX41 and m GATA2 pts; respectively (p = .7). m DDX41 pts had higher hemoglobin, platelets, and MCV (< .0001, 0.005, < .0001; respectively) and significantly lower white blood cells (WBC) count compared to m GATA2 pts (< .0001). All m DDX41-AML pts were (ELN) intermediate-risk, and 64% of m DDX41 MDS were intermediate risk (IPSS-R). In contrast, of m GATA2 pts 62% of AML were adverse risk and 44% of MDS very high risk. Majority of m DDX41 pts had normal karyotype (N = 32; 91% vs. N = 19, 37%; p < .0001), had isolated mutations (N = 23; 64%) and the most common co-mutations were DNMT3A (38%), ASXL1 (30%), JAK2 (23%). The majority of m GATA2 pts were co-mutated (96%) with a different co-mutation pattern ASXL1 (60%), SRSF2 (34%), RUNX1 (19%). Germline data: One m GATA2 pts had proven germline mutation, and 10/11 (91%) m DDX41 pts were confirmed Survival and progression in MDS/AML: After median follow-up of 30 months in MDS/AML, 7 (21%) m DDX41 and 23 (77%) m GATA2 pts died with superior OS in m DDX41 compared to m GATA2 pts with median OS of (136.7 vs. 6.8 months, p < .0001). Seven (31%) of 22 m DDX41 and 6 (35%) m GATA2 MDS pts progressed into AML with a median time to progression of (11.2 vs. 5.2 months, p = .045). The leukemia free survival (LFS) for m DDX41 MDS pts was significantly longer than LFS of m GATA2 MDS pts (24.4 vs. 6 months, p < .0001). Conclusions: We compare the outcomes of two unique mutations associated with germline predisposition. We found m DDX41 pts had fewer cytogenetic aberrations, no MDS/MPN overlap, and lower WBC count. Majority of m DDX41 MDS/AML pts were intermediate risk category, compared to predominance of adverse risk disease in m GATA2 pts, translating into better OS and LFS. This study is limited by the small size, lack of germline workup in all cases, and retrospective nature. However, it supports the favorable prognosis and indolent course of m DDX41 pts recently described.

Abstract Leukemia stem cells (LSCs) are linked to relapse in acute myeloid leukemia (AML). The LSC17 gene expression score robustly captures LSC stemness properties in AML and can be used to predict survival outcomes and response to therapy, enabling risk-adapted, upfront treatment approaches. The LSC17 score was developed and validated in a research setting. To enable widespread use of the LSC17 score in clinical decision making, we established a laboratory-developed test (LDT) for the LSC17 score that can be deployed broadly in clinical molecular diagnostic laboratories. We extensively validated the LSC17 LDT in a College of American Pathologists/Clinical Laboratory Improvements Act (CAP/CLIA)-certified laboratory, determining specimen requirements, a synthetic control, and performance parameters for the assay. Importantly, we correlated values from the LSC17 LDT to clinical outcome in a reference cohort of patients with AML, establishing a median assay value that can be used for clinical risk stratification of individual patients with newly diagnosed AML. The assay was established in a second independent CAP/CLIA-certified laboratory, and its technical performance was validated using an independent cohort of patient samples, demonstrating that the LSC17 LDT can be readily implemented in other settings. This study enables the clinical use of the LSC17 score for upfront risk-adapted management of patients with AML.

Abstract Background: DDX41 gene is located on chromosome 5q35 and is believed to be a tumor suppressor gene involved in splicing of mRNA. Mutated DDX41 have been identified as germline mutation (m) in families with cases of myeloid neoplasm and have shown to cause acquisition of other somatic mutations resulting in MDS/AML. At the same time, somatic pathogenic DDX41 mutations are known to occur. Variant of unknown significance (VUS) is an intermediate tier between benign and pathogenic (path) mutations (hence uncertain) and can be re-classified based on their clinical impact. In this report we analyzed the clinical impact and relevance of DDX41VUS in patients (pts) being evaluated for myeloid disorders. Methods: We reviewed 4,524 consecutive pts who underwent NGS (MC OncoHeme 42 genes panel) testing between 2018 and 2021 performed on cases of suspected or known myeloid disorders. We identified 58 (1%) consecutive pts with DDX41VUS, among them one pt had proven concurrent DDX41 germline VUS and 7 pts with DDX41VUS had concurrent DDX41path mutation. We analyze clinical characteristics of pts with DDX41VUS and compared it with cohort of 32 DDX41path mutated pts. Results: Baseline characteristics are summarized in Table 1, and Figure 1 illustrates DDX41VUS per case with variant allele frequency (VAF) and observed concurrent mutations. The median VAF for DDX41 VUS was 48 % (range, 14-91%). Co-mutations were found in 14 (28%) pts with VUS, and the reminder (n=44, 72 %) had isolated DDX41VUS. Among them AML (16 [32%]), MDS (14 [28%]), cytopenia (14 [28%]) MPN (3 [6%]), CNL (1 [2%]) and aplastic anemia (1 [2%]) were the commonly occurring myeloid disorder (Table 1, Figure 1). Eleven of 14 pts with isolated cytopenia had isolated DDX41VUS. Conversely, among 15 evaluable pts with isolated DDX41VUS, 13 (87%) pts had normal cytogenetics and 40% of pts had family history of solid or hematological malignancies. We observed a significant difference in hematologic diagnoses: DDX41VUS patients were significantly less often diagnosed with MDS or CCUS, and more often associated with cytopenias NOS. Recurrent, non-random DDX41VUS sequences were observed; most frequent occurring amino acid change among the 58 pts were Gly173Arg (n=6), Met155lle (n=5), Pro258Leu (n=3) Arg479Gln (n=3), Val303Met (n=2), Lys331del (n=2), Arg479His (n=2) and Tyr33His (n=2) (Figure 1). 5 of 6 pts with Gly173Arg had isolated DDX41VUS, and among them 4 were diagnosed with MDS suggesting this could be a clonal event, and possible driver mutation, notable in Figure 1. The median overall survival (OS) of pts with high risk MDS/AML harboring DDX41VUS was not reached (60% alive at 2 years). Between pts with DDX41path and DDX41VUS, proportion of pts with co-mutations (p &gt;0.99), cytogenetic abnormalities (p &gt;0.99), family history of malignancies (p 0.52), time to treatment (p &gt;0.99), MDS progression to AML (p 0.36) and OS (among high risk MDS/AML pts) (p 0.55) was not significantly different, suggesting that phenotypic features of DDX41VUS are similar to DDX41path , and that both carry a similar, more indolent prognosis (Table 1). Conclusion: Our reports demonstrated that DDX41VUS occurs in 1% of patients with myeloid disorders and shares distinct diagnostic features but comparable prognostic features vs. DDX41path, including family history of hematological malignancies. It is possible that many of the cases with 'cytopenias' and DDX41VUS would meet criteria for CCUS if the variant was isolated classified as pathogenic, confirming the importance of extending our understanding of DDX41 variants. Further analysis to characterize the biological impact of DDX41VUS is underway. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Al-Kali: Novartis: Research Funding; Astex: Other: Research support to institution. Patnaik: Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees. Litzow: Astellas: Research Funding; Omeros: Other: Advisory Board; Jazz: Other: Advisory Board; Pluristem: Research Funding; Amgen: Research Funding; Biosight: Other: Data monitoring committee; Actinium: Research Funding; AbbVie: Research Funding. Foran: boehringer ingelheim: Research Funding; abbvie: Research Funding; takeda: Research Funding; trillium: Research Funding; revolution medicine: Honoraria; bms: Honoraria; servier: Honoraria; novartis: Honoraria; pfizer: Honoraria; aptose: Research Funding; taiho: Honoraria; certara: Honoraria; sanofi aventis: Honoraria; syros: Honoraria; actinium: Research Funding; gamida: Honoraria; OncLive: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.

Abstract Background: The DEAD-box helicase 41 (DDX41), an RNA helicase, have been described as a component of the RNA spliceosome (Cheah et al. International Journal of Hematology 2017). Although DDX41 mutations predispose to late-onset higher grade myeloid neoplasms (MN), these patients may have a trend toward favorable prognosis and outcomes. In this work, we describe the clinical characteristics and survival outcomes of isolated and co-mutated DDX41 patients (pts). Methods: We retrospectively analyzed 4,524 consecutive pts who underwent next-generation sequencing (NGS) (OncoHeme 42 genes panel, Mayo Clinic) testing and included 32 pts harboring pathogenic DDX41 mutation and one pt with proven DDX41 germline variant of unknown significance (VUS). Chart review of DDX41-mutated (m) cases between 2009 and 2021 was conducted after IRB approval. We compared overall survival (OS) of unmatched 27 t(8;21)AML and 40 inv(16) AML pts with 10 m DDX41-AML pts. JMP® Pro 14.1.0 Software was used for statistical analysis. Results: DDX41 mutations characteristics: Our cohort included 19 (58%) myelodysplastic syndromes (MDS), 10 (30%) acute myelogenous leukemia (AML), 2 (6%) myeloproliferative neoplasms (MPN), one clonal cytopenia of undetermined significance (CCUS) (3%) and one (3%) germline carrier. Germline testing was carried out in 10 pts, 9 of whom (90%) were confirmed to be germline). The start-loss variant (p.M1I) was the most common mutation type (N=10, 31%). Other types were frameshift (N=9, 28%), missense mutation (N=8, 25%), nonsense (N=3, 9%), and splice site mutation (N=2, 2%). Twenty-one (65.6%) DDX41 mutations clustered in the N-terminus (NT), 7 (22%) in the helicase-C domain (HCD), and 4 (12.5%) in the DEAD-box domain. Compared to NT mutations, patients with HCD mutation had no family history of solid tumors and were more likely to have an accompanying additional DDX41-VUS (0% vs 70%; p=.001) and (N=6, 86% vs. N=2,10%; p=.0001); respectively. I solated vs. co-mutated DDX41: Twenty (60%) pts were isolated-DDX41 and 13 (40%) were co-mutated. The median DDX41-VAF was 48% vs. 45% (p= .2) in the isolated compared to the co-mutated cases, respectively. The median number of co-mutations in the 13 co-mutated cases was 1 (range,1-3) with DNMT3A (38%), ASXL1 (30%), JAK2 (N=3, 23%), and EZH2 (N=2, 15%) were the most common co-mutations detected. Isolated DDX41 had more males (85% vs. 54%, p=.05), the p.M1I variant (47% vs. 8%, p=.02), normal cytogenetics (100% vs. 91%, p= .02), and less family history of solid tumors (77% vs. 33%, p= .02) compared to their co-mutated counterparts. However, there was no difference in OS (p=.99). Comparison of clinical characteristics and hematological features of isolated and co-mutated DDX41 pts are reported in (Table 1). Treatment and survival outcomes in DDX41-MDS/AML : Twenty-three (80%) patients were treated, MDS pts received hypomethylating agents (HMA) (N=10, 71%), HMA plus Venetoclax (HMA+VEN) (N=1, 7%), erythropoiesis-stimulating agents (N=2, 14%) and lenalidomide (N=1 ,7%). AML pts were treated with induction chemotherapy (N=6, 67%) and HMA+VEN (N=3, 33%). Overall response rate of MDS/AML patients was 77% and 100% of AML pts achieved complete remission (CR) when treated with induction chemotherapy or HMA+VEN regimen. There was no significant difference in OS between responders vs. non-responders 2-yr-OS (90% vs. 50%; p=.38) and treated vs. untreated 2-yr-OS (83% vs. 100%; p=.52). Comparing m DDX41-AML vs. core binding factor-AML: After a median follow-up of 33.3 months, all m DDX41-AML patients were alive. There was a significantly better OS in mDDX41-AML patients compared to pts with t(8;21) AML with 2-yr-OS (100% vs. 51%; p=.024) and a trend of better survival when compared to inv(16) AML 2-yr-OS (100% vs. 84%; p=.2). Conclusion We describe the characteristics and outcomes of m DDX41 patients. We demonstrated that isolated and co-mutated m DDX41 patients have different features. Isolated DDX41 patients had male predominance, more p.M1I variant, normal cytogenetics and less family history of solid tumors. In this study we found that m DDX41 AML has high response to treatment and has comparable (if not possibly better) OS compared to other "favorable risk" AML. This study, although limited by the small number of patients, supports the universal testing for DDX41 mutation in adults with MN diagnosis. Figure 1 Figure 1. Disclosures Al-Kali: Astex: Other: Research support to institution; Novartis: Research Funding. Foran: abbvie: Research Funding; OncLive: Honoraria; boehringer ingelheim: Research Funding; trillium: Research Funding; pfizer: Honoraria; takeda: Research Funding; revolution medicine: Honoraria; bms: Honoraria; gamida: Honoraria; actinium: Research Funding; aptose: Research Funding; novartis: Honoraria; servier: Honoraria; taiho: Honoraria; syros: Honoraria; sanofi aventis: Honoraria; certara: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Salama: Mayo Clinic: Current Employment, Other: Mayo Clinic had the contractual work for the central pathology review for this study and I was one of the reviewing pathologists; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Litzow: Astellas: Research Funding; Biosight: Other: Data monitoring committee; Amgen: Research Funding; AbbVie: Research Funding; Actinium: Research Funding; Pluristem: Research Funding; Jazz: Other: Advisory Board; Omeros: Other: Advisory Board. Patnaik: Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Abstract Background Clonal cytopenia of undetermined significance (CCUS) is a risk factor for development of myeloid neoplasms (MN) such as myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML). Therapy-related myeloid neoplasm (t-MN) is defined as the development of a MN in the context of prior DNA damaging therapies including chemotherapy, radiation, and immunosuppressive therapies. CCUS diagnosed in the setting of prior DNA damaging therapy (t-CCUS) and its outcomes are not known. The aim of this study was to study clinicopathological features and outcome of t-CCUS and compare it with t-MN. Methods Patients who had received DNA-damaging therapy and subsequently determined to have CCUS or t-MN were identified. The diagnosis of CCUS was made if the patient had non-diagnostic bone marrow biopsy evaluation combined with evidence of pathogenic myeloid somatic genetic alterations using conventional cytogenetics or next generation sequencing (NGS) panel. Pathogenic/likely pathogenic variants (PV) were stratified by DTA (DNMT3A, TET2, and ASXL1) genes vs. others. Event-free survival (EFS) was calculated using interval from t-CCUS to t-MN with death as a competing risk. Overall survival (OS) for t-CCUS and t-MN patients was calculated using interval from t-CCUS or t-MN diagnoses respectively to the last follow up. Statistical analysis was performed using JMP (v14.1, SAS Institute). Results We identified 30 patients with t-CCUS and 259 patients with t-MN. Eleven (37%) t-CCUS patients developed t-MN and were included in both cohorts (Fig. A). Clinical characteristics of t-CCUS patients are shown in Table 1. Briefly, age (median, interquartile range or IQR) at the diagnosis of primary malignancy and t-CCUS was not different between those who developed t-MN and those did not (P=0.09 and 0.378 respectively). There was no difference in hemoglobin, white blood cells, or ANC between the two groups. Patients who developed t-MN had a significantly lower platelet count (68 vs. 130, P&lt;0.01) and higher bone marrow blast percent (2 vs. 0, P=0.04) compared to those who did not. At t-CCUS diagnosis, cytogenetics was abnormal in 11 (37%) patients and none had complex karyotype (CK). Paired cytogenetic analysis at t-CCUS and t-MN was available for 10 patients: 4 had unchanged karyotype at t-MN, whereas 6 had cytogenetic evolution. In contrast, 213 (83%) of 256 t-MN patients with available cytogenetics had abnormalities and 126/256 (49%) had CK. Thus, a significantly higher proportion of patients had CK t-MN compared to t-CCUS (χ 2 26.4, P&lt;0.01). A 42-gene NGS panel identified 36 PV in 21 patients (median 1, range 1-4) at t-CCUS. The most common PV were in TET2 (37.1%), TP53 (11.4%), DNMT3A (8.6%), and ZRSR2 (8.6%) genes. Two patients had paired NGS available at t-CCUS and t-MN: one had BCOR and U2AF1 PV at t-CCUS and acquired an additional NRAS PV at t-MN. The second patient had 2 PV in TP53 at t-CCUS diagnosis, that remained the only PV identified at t-MN. In the t-MN cohort, median number of PV was 2 (range 1-9). The most common PV identified were TP53 (21.5%), TET2 (6.7%), DNMT3A (6.4%), and ASXL1 (6.4%), whereas 4.8% patients had no PV. Three of 22 patients in the t-CCUS cohort had TP53mut, compared to 55 of 157 in the t-MN cohort (χ 2 4, P=0.05). Management strategies for t-CCUS included observation (20), growth factors (4), treatment of primary malignancy (2), immunosuppressives (1), hypomethylating agent followed by allogeneic SCT (1), and others (2). Following t-CCUS, 9 patients progressed to MDS and 2 to AML with a median of 3.5 months (IQR 1.7-43.4). EFS was 43.4 months (IQR 6.8-80.9). The presence of abnormal cytogenetics (Fig. B) and the absence of DTA-mutations (Fig. C) predicted shorter EFS. At last follow up, 12 (40%) deaths were noted. Four (33%) patients died without developing t-MN. Causes of death in the t-CCUS cohort were: t-MN (3), primary malignancy (1), progressive cytopenia without MN (1), infection (1), graft-vs.-host-disease (1), and undetermined (5). t-MN patients had a significantly shorter survival compared to t-CCUS (Fig. D). Conclusion More than 10% of t-MN patients had a precursor t-CCUS. On the other hand, t-CCUS patients are at a high risk of progression to MN. t-MN is characterized by the acquisition of TP53mut, genomic instability, and a significantly shorter survival compared to t-CCUS. The presence of abnormal cytogenetics and the absence of DTA mutations at t-CCUS predict shorter EFS. Figure 1 Figure 1. Disclosures Litzow: Omeros: Other: Advisory Board; AbbVie: Research Funding; Jazz: Other: Advisory Board; Amgen: Research Funding; Astellas: Research Funding; Pluristem: Research Funding; Actinium: Research Funding; Biosight: Other: Data monitoring committee. Patnaik: Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees. Al-Kali: Novartis: Research Funding; Astex: Other: Research support to institution.

Abstract Objective : We describe the Mayo Clinic experience in 797 newly-diagnosed patients with acute myeloid leukemia (AML) serially treated with 7+3 induction chemotherapy that included 3 days of daunorubicin at a daily dose of 60 mg/m2 (dauno-60; n=239) or 90 mg/m2 (dauno-90; n=52), or idarubicin 12 mg/m2 (IDA-12; n=506). Our objective was to compare overall (OS) and relapse-free (RFS) survival outcome. Methods : Newly-diagnosed AML patients seen at our institution and received intensive induction chemotherapy were identified from the Mayo Clinic AML database. Treatment period spanned from January 2004 through May 2021. Follow-up information was updated as of June 2021. Conventional criteria were used to diagnose AML, assign cytogenetic risk category, and classify treatment response. Results : The study group included 797 patients (median age 60 years, range 18-88; 58% males): 506 (63%) patients received IDA-12, 239 (30%) dauno-60, and 52 (7%) dauno-90. The respective median (range) ages were 60 (18-88), 61 (19-82), and 53 (22-72) years (p=0.01) (Table). Primary, secondary, and therapy-related AML accounted for 65%, 25% and 10% of patients treated with IDA-12, 69%, 22%, and 9% of those treated with dauno-60, and 75%, 23% and 2% of patients treated with dauno-90, respectively (p=0.1). The corresponding frequencies of adverse karyotype were 34%, 25% and 25% (p=0.05). CR/CRi was documented in 78% (620/793) of all evaluable patients: IDA-12 80% (400/503), dauno-60 75% (175/238), and dauno-90 87% (45/52) (p=0.1). 210 (34%) patients underwent allogenic hematopoietic stem cell transplant (AHSCT), including 125 (25%), 59 (25%) and 26 (50%) patients, in the three treatment groups, respectively (p=0.0004). After a median (range) follow up 19 (0.2-203) months, 348 (54%) relapses and 518 (65%) deaths were documented. Median (range) survivals for IDA-12, dauno-60 and dauno-90 groups were 21 (0.3-243), 14.5 (0.45-198), and 27.7 (0.2-180) months (p=0.07; figure 1). The respective 1-, 3-, and 5-year OS rates were 67%, 42%, and 34% (IDA-12); 66%, 37%, and 30% (dauno-60); and 78%, 51%, and 49% (dauno-90), respectively; the trend favoring dauno-90 was no longer apparent during age-adjusted analysis (p=0.33). Multivariable analysis that accounted for age, cytogenetic risk category, FLT3-ITD/NPM1 status and AML subtype confirmed the lack of additional contribution from IDA-12 vs dauno-60 vs dauno-90 (p=0.2) while affirming the independent prognostic value of the other four variables; AHSCT carried an additional predictive value for superior survival without altering these results. A total of 348 (54%) relapses were documented: 228 (57%) in the IDA-12; 99 (57%) in the dauno-60; and 21 (47%) in the dauno-90 cohorts (p=0.7); RFS was similar in the three treatment groups (p=0.1; figure 2). Conclusion :In the current large single-institution study of consecutive adult patients with AML, neither the choice of anthracycline (idarubicin vs daunorubicin) or the dose of daunorubicin (60 vs 90 mg/m2) appeared to effect outcome in terms of remission rates or overall or relapse-free survival. The study otherwise confirms the independent favorable effect of younger age, non-adverse karyotype, FLT3-ITD-/NPM1+ status, and AHSCT. Figure 1 Figure 1. Disclosures Patnaik: Kura Oncology: Research Funding; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Membership on an entity's Board of Directors or advisory committees. Al-Kali: Astex: Other: Research support to institution; Novartis: Research Funding. Litzow: Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Jazz: Other: Advisory Board; Biosight: Other: Data monitoring committee; Omeros: Other: Advisory Board; AbbVie: Research Funding; Astellas: Research Funding.

Abstract Clinical significance of somatic gene variants needs to be comprehensively characterized for their diagnostic, prognostic and/or therapeutic actionability in patient management. However, challenges remain due to discrepancies in interpretation and reporting of these somatic variants among different testing labs. Therefore, standardized curation, clinical interpretation and reporting of somatic variants in hematologic cancers is critical. To address this issue, the Hematologic Cancer Taskforce (HCT), composed of 52 multi-disciplinary experts including oncologists, molecular pathologists, lab directors, genomic scientists and biocurators, was formed in January 2020 within the ClinGen Somatic Cancer Clinical Domain Working Group (CDWG) with a goal to undertake systematic curation and evidence-based clinical interpretation of genes/somatic variants associated with hematologic malignancies. In collaboration with the Clinical Interpretation of Variants in Cancer (CIViC) (civicdb.org) knowledgebase, HCT members curate, edit, and verify Evidence Items for each variant extracted from peer-reviewed publications. Monthly discussions based on these Evidence Items lead to the preparation of variant Assertions, which summarize the state of the field consensus variant interpretation and include tiering based on the AMP/ASCO/CAP guidelines (PMID: 27993330). FMS-like tyrosine kinase 3 (FLT3) encodes a class III receptor tyrosine kinase expressed in hematopoietic cells. FLT3 mutations, including both internal tandem duplication (ITD) and mutations in the tyrosine kinase domain (TKD), are the most common mutations in acute myeloid leukemia (AML), occurring in approximately 30% of all AML cases. Implementing FLT3 tyrosine kinase inhibitors (TKIs) in different treatment regimens for FLT3 mutated AML patients has led to significantly improved overall survival. Type I FLT3 inhibitors, including midostaurin, gilteritinib, sunitinib, lestaurtinib, and crenolanib, bind to the ATP-binding site when the receptor is in active conformation. Type II FLT3 inhibitors, including sorafenib, ponatinib, and quizartinib, interact with a hydrophobic region directly adjacent to the ATP-binding domain that is only accessible when the receptor is inactive, which prevents receptor activation. Generally in AML cells, type I FLT3 inhibitors prevent activity for both ITD and TKD mutations, while Type II inhibitors target ITD but lack efficiency against TKD mutations. The development of TKD mutations in AML cells with ITD have proved to be a mechanism of acquired, or secondary resistance to Type II FLT3 inhibitors. The HCT is piloting curation assessments of FLT3 alterations, including ITD, TKD and non-TKD variants, in AML. So far, the HCT has curated 75 evidence items for FLT3 somatic variants. FLT3-ITD, as well as D835 and I836 were asserted as tier 1 level A variants based on the prediction of response to gilteritinib in relapsed/refractory AML (PMIDs: 27993330, 31665578, 28645776, 28516360, 27908881). Recent curation activities are focused on FLT3 D839G and N676K, as clinical trials using large AML patient cohorts are lacking in their ability to validate drug response/resistance associations of these two TKD variants due to their low frequency. Functional studies showed both variants result in increased proliferation and protection from apoptosis, supporting the oncogenic potential of these two variants (PMIDs: 26891877, 2468088). FLT3 D839G combined with ITD confers resistance to pexidartinib and ponatinib, both Type II FLT3 inhibitors (PMIDs: 25847190, 23430109). FLT3 N676K predicts response to the Type I FLT3 inhibitor, gilteritinib, when N676K is present alone or in combination with ITD. Interestingly, FLT3 N676K in the absence of ITD predicts response to sorafenib, a Type II FLT3 inhibitor (PMIDs: 32040554, 32984009). However, these results are mostly derived from in vitro studies. Two separate Tier II, Level D Assertions have been submitted for FLT3-ITD&D839G for its response to pexidartinib and ponatinib, and more evidence is being collected to form an Assertion for FLT3 N676K. The complexity of the prediction of response/resistance associated with FLT3 D839G and N676K supports the importance of evidence-based curation and collection for these variants in the context of the overall mutation profile, disease context and specific FLT3 TKIs to clearly define their clinical impact. Disclosures Pullarkat: Stemline Therapeutics: Honoraria.

Abstract Introduction/Objective Myeloid neoplasms associated with DDX41 germline genetic alterations are becoming increasingly recognized as a unique subset of hematologic cancer predisposition syndromes. As such, we sought to review their clinicopathologic characteristics. Methods/Case Report We searched our next-generation sequencing database for cases with two DDX41 variants; one variant at heterozygous variant allele fraction (VAF) indicating known or putative germline status, and second variant at low VAF consistent with an acquired subclone. We reviewed the clinicopathologic features. Results (if a Case Study enter NA) We identified 18 cases - male:female ratio 2.6:1, average age at presentation, 69 years (range 57-89). The diagnoses included no diagnostic abnormality (3), MDS-MLD (1), MDS-EB1 (1), increased blasts only(5-19%) (7), and AML (6). All had anemia [average hemoglobin (10.2) (range 6.5-12.9 g/dL)], 17/18 with thrombocytopenia [average 87 (range 22-222 K)], 17/18 with neutropenia [average absolute neutrophil count (ANC) (819) (range 90-1800)] and 13/18 with macrocytosis [average (101.5) (range 83.7-114 fL)]. Bone marrow cellularity (corrected for increased blasts &gt;20%) was predominantly hypocellular (11/19) followed by normocellular (5/19). 3/19 cases showed erythroid dysplasia; no cases demonstrated granulocytic dysplasia; 7/19 cases showed megakaryocytic dysplasia. Of non-AML cases, 8/12 cases showed increased blasts [average 10% (range 5-19%)]. Of 4 cases without an increase in blasts, 1 showed MDS, 2 no dysplasia [1 -ANC of 666 and preserved platelets (222); 2- thrombocytopenia with preserved ANC (1800)] and 1 had slight megakaryocytic atypia. 16/17 cases were karyotypically normal. 14/18 of the patients are alive (median follow-up, 48) (8-125 months). Conclusion This cohort finds that myeloid neoplasms arising from DDX41 germline predisposition syndrome tend to present in older individuals, have infrequent dysplasia and are associated with a prolonged clinical course despite elevated blast counts at diagnosis. Recognition of these disorders is challenging and DDX41 testing should be included as part of genetic profiling. The presence of a suspected DDX41 germline variant may prompt confirmatory and familial testing, particularly in the event a hematopoietic transplant is a treatment option.

Abstract DDX41 mutations (germline and somatic) are associated with late onset myelodysplastic syndromes/acute myeloid leukemia (MDS/AML). Myeloid neoplasms (MN) with germline predisposition was identified as a distinct category in the 2016 WHO classification revision, including MN with germline DDX41 mutation. We retrospectively analyzed the molecular findings and clinical characteristics of thirty-three DDX41-mutated (mDDX41) patients at our institution. We identified 14 distinct pathogenic DDX41 variants in 32 patients and 8 DDX41 variants of unknown significance (VUS) in 9 patients. Five (16%) patients had a second DDX41 somatic mutation p.R525H and 13 (40%) had at least one additional oncogenic co-mutation in other genes. The median age at the time of diagnosis was 66 years, with male predominance (72%) and the majority of patients had normal cytogenetics (91%). Two-year overall survival (OS) was 86% and 6 (21%) MDS/AML patients with relatively preserved hematopoietic function were observed without further intervention. In comparison to AML patients with prognostically more favorable subtypes [t(8;21), n=27 and inv(16), n=40], mDDX41 patients in our cohort showed similarly favorable OS. Our study highlights that mDDX41-MN patients often have an indolent course and mDDX41-AML has comparable OS to favorable-risk AML.

AbstractGermline predisposition syndromes (GPS) result from constitutional aberrations in tumor suppressive and homeostatic genes, increasing risk for neoplasia in affected kindred. In this study, we present clinical and genomic data on 144 Mayo Clinic patients with GPS; 59 evaluated prospectively using an algorithm‐based diagnostic approach in the setting of a dedicated GPS/ inherited bone marrow failure syndrome (IBMFS) clinic. Seventy‐two (50%) patients had IBMFS (telomere biology disorders‐32,Fanconi anemia‐18, Diamond Blackfan Anemia – 11, congenital neutropenia–5, Schwachman‐Diamond Syndrome‐5 and Bloom Syndrome‐1), 27 (19%) had GPS with antecedent thrombocytopenia (RUNX1‐FPD‐15, ANKRD26‐6, ETV6‐2, GATA1‐1, MPL‐3), 28 (19%) had GPS without antecedent thrombocytopenia (GATA2 haploinsufficiency‐16, DDX41‐10, CBL‐1 and CEBPA‐1) and 17 (12%) had general cancer predisposition syndromes (ataxia telangiectasia‐7, heterozygous ATM variants‐3, CHEK2‐2, TP53‐2, CDK2NA‐1, NF1‐1 and Nijmegen Breakage Syndrome‐1). Homozygous and heterozygous ATM pathogenic variants were exclusively associated with lymphoproliferative disorders (LPD), while DDX41 GPS was associated with LPD and myeloid neoplasms. The use of somatic NGS‐testing identified clonal evolution in GPS patients, with ASXL1, RAS pathway genes, SRSF2 and TET2 being most frequently mutated. Fifty‐two (91%) of 59 prospectively identified GPS patients had a change in their management approach, including additional GPS‐related screening in 42 (71%), referral for allogenic HSCT workup and screening of related donors in 16 (27%), medication initiation and selection of specific conditioning regimens in 14 (24%), and genetic counseling with specific intent of fertility preservation and preconceptual counseling in 10 (17%) patients; highlighting the importance of dedicated GPS screening, detection and management programs for patients with hematological neoplasms.