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Increased gut permeability has been suggested in patients with celiac disease (CD). We aimed to compare gut permeability in children using the lactulose/rhamnose permeability test. We prospectively recruited 55 children into 3 groups; 27 in group 1 (children with newly diagnosed celiac disease, 12 in group 2 (siblings of children with celiac disease) and 16 in group 3 (control group). The median age of participants was 11 years 2 months in group 1, 9 years 5 months in group 2 and 10 years 3 months in group 3. Standardized median delta rhamnose was lower in CD group as compared to control group (147.5 vs 3153.1, P = 0.040). The low median rhamnose absorption in children with celiac disease as compared to other groups suggests that this test can differentiate between damaged and healthy mucosa, hence can it potentially can be used as a noninvasive test of mucosal healing in children with celiac disease.

Background: The rapid reduction in tumor burden by the oral B-cell lymphoma-2 inhibitor venetoclax (Ven) poses a risk of tumor lysis syndrome (TLS) for patients (pts) with chronic lymphocytic leukemia (CLL). The approved 5-week Ven dose ramp-up, along with prophylaxis and monitoring, effectively mitigate this risk of TLS but also introduce some logistical challenges to starting the drug. Moreover, the long ramp-up period may lead to clinical deterioration while pts are receiving lower doses, particularly for those with rapid disease progression after B-cell receptor pathway inhibitor (BCRi) therapy. Accelerated Ven dose ramp-up has been explored in a limited number of prior studies, including the prospective M14-032 trial (Jones et al. Lancet Oncol 2018) and a single-center retrospective study (Koenig et al. ASH 2019); these studies had conflicting results with regard to the risk of TLS. We conducted a multicenter study to systematically characterize the safety profile and feasibility of an accelerated Ven ramp-up schedule in pts with previously treated CLL. Methods: This is a retrospective chart review from 4 large academic US medical centers of 36 pts with relapsed/refractory CLL and a documented ramp-up period of <5 weeks (duration at treating physician's discretion). The study period was defined from 1 month before to 1 month after ramp-up. TLS risk before Ven initiation was assessed per the label. Safety endpoints included the proportion of pts who experienced Grade ≥3 adverse events (AEs), TLS per Howard criteria (laboratory, clinical, or any reported TLS), and/or metabolic abnormalities observed during ramp-up. Feasibility of accelerated ramp-up was measured by assessing the proportion of pts who reached the target 400-mg dose or an alternative stable dose, defined as continuous/stable Ven dosing for ≥1 month after ramp-up. Descriptive statistics were calculated. Results: The median age at Ven initiation was 67.5 years (range 53-84) and 58.3% of pts had deletion 17p or TP53 mutation (Table 1). Pts were heavily pretreated (median of 3 lines of prior therapy [range 1-7]) and 88.9% had prior BCRi therapy; 27 pts (75.0%) had BCRi as immediate prior line of therapy before Ven. Before Ven initiation, 7 pts (19.4%) were at high risk of TLS, 13 (36.1%) at medium risk of TLS, and 15 (41.7%) at low risk of TLS; 1 unknown. Last line of therapy was discontinued in 30 pts (83.3%). Twenty-one pts (58.3%) received Ven monotherapy, 11 (30.6%) received Ven plus rituximab, 1 (2.8%) received Ven plus obinutuzumab, and 3 (8.3%) received Ven plus other (including ibrutinib, duvelisib, or idelalisib). Thirty-three pts (91.7%) underwent accelerated ramp-up as an inpatient, with a median hospital stay of 11 days (range 3-28). A stable dose of Ven was reached by 34 pts (94.4%), with median time of 15 days (range 3-66) to stable dose. Twenty-eight of these 34 pts (82.4%) reached the full 400 mg as their stable dose, with median time of 19.5 days (range 11-66). Overall, 15 pts (41.7%) experienced Grade ≥3 AEs and 4 (11.1%) discontinued Ven during ramp-up (2 pts due to clinical TLS, and 1 patient each due to persistent cytopenias and enrollment in hospice care). Seven pts (19.4%) had TLS (5 [13.9%] laboratory, 2 [5.6%] clinical), and 9 pts (25.0%) developed a metabolic abnormality only that did not meet Howard criteria for TLS (Table 2). Both pts with clinical TLS received Ven ramp-up while hospitalized; 1 high risk and 1 medium risk at baseline. Life-threatening (Grade 4) acute kidney injury and hypovolemic shock were reported for both. Of those pts with TLS, 4 (57.1%) required supportive medications. All AEs of TLS (including clinical events) resolved. Conclusion: In this multicenter study exploring accelerated Ven ramp-up, 82% of pts reached a stable dose of Ven 400 mg. TLS was observed in 19% of pts, including 2 pts with clinical TLS, which in both cases was reversible. Our data suggest that although the risk of TLS with an accelerated ramp-up appears to be greater than with 5-week Ven ramp-up per label, an accelerated Ven ramp-up schedule appears feasible at experienced academic centers with close inpatient monitoring. This dosing regimen may be beneficial for relapsed CLL pts with aggressive disease, particularly those progressing immediately after BCRi therapy. While promising, the approach cannot be routinely recommended until results are validated in a prospective clinical trial. Disclosures Davids: BeiGene: Consultancy; AstraZeneca: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Ascentage Pharma: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Verastem: Consultancy, Research Funding; AbbVie: Consultancy; Eli Lilly: Consultancy; MEI Pharma: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Consultancy, Research Funding; Sunesis: Consultancy; Gilead Sciences: Consultancy; Zentalis: Consultancy; Syros Pharmaceuticals: Consultancy; Research to Practice: Honoraria; Merck: Consultancy; Surface Oncology: Research Funding. Shadman:TG therapeutics: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Atara Biotherapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cellectar: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mustang Bio: Research Funding; BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Sunesis: Research Funding; Gilead: Research Funding; MophoSys: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sound Biologics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Acerta Pharma: Ended employment in the past 24 months. Parikh:GlaxoSmithKline: Honoraria; AbbVie: Honoraria, Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria; Verastem Oncology: Honoraria; Janssen: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; TG Therapeutics: Research Funding; Merck: Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding. Ujjani:MorphoSys: Consultancy; Genentech: Consultancy, Honoraria; Atara: Consultancy, Honoraria; Gilead/Kite: Consultancy, Research Funding; Verastem Oncology: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding. Chen:AbbVie: Other: Institutional research grants, Research Funding. Johnson:AbbVie: Other: Institutional research grants, Research Funding. Jiang:AbbVie: Current Employment, Other: may hold stock or options. Llamas:AbbVie: Current Employment, Other: may hold stock or options. Feng:AbbVie: Current Employment, Other: may hold stock or options. Khan:ICON plc: Current Employment, Other: a company contracted by AbbVie for this study. Lamanna:MingSight: Other: Institutional research grants, Research Funding; Oncternal, Verastem, TG Therapeutics: Other: Institutional research grants, Research Funding; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Columbia University Medical Center: Current Employment; Juno: Other: Institutional research grants, Research Funding; Octapharma: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bei-Gene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Institutional research grants, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Loxo: Research Funding. OffLabel Disclosure: "Venetoclax is a BCL-2 inhibitor indicated: for treatment of adult patients with chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma (SLL); in combination with azacitidine, or decitabine, or low-dose cytarabine to treat adults with newly-diagnosed acute myeloid leukemia (AML) in adults who are age 75 years or older, or who have comorbidities that preclude use of intensive induction chemotherapy. CLL/SLL: Dosing with venetoclax begins with a 5-week ramp-up."

Background: PCL is a rare and aggressive form of multiple myeloma (MM). It is associated with high risk cytogenetics, aggressive disease biology and a dismal prognosis. Dara has revolutionized the treatment of MM leading to deep and durable responses as a single agent and in combination with other agents. We evaluated the efficacy of Dara-based regimens in the treatment of PCL. Methods: Clinical charts of primary and secondary PCL patients treated at the Mayo Clinic Cancer Center between 2012-2019 were reviewed. Survival was analyzed with the Kaplan-Meier method. Plasma cell leukemia was defined by ≥5% peripheral blood plasma cells and/or absolute plasma cell count ≥0.5 x109/L (based on IMWG consensus statement).1 Results: Thirty-one patients were identified (55% female) with a median age at PCL diagnosis of 66 y (range 38-83). Fifteen (48%) had primary (p) PCL, while 14 (52%) had secondary (s) PCL. Nineteen (61%) had high risk cytogenetics with 11 (45%) del 17p, 4 (13%) t(14;16), 14 (45%) 1q amplification/duplication and 3(10%) t(4;14). Twelve (39%) had t(11;14). Eighteen (58%) patients had undergone autologous hematopoietic cell transplant (AHCT) with 12 (39%) having undergone AHCT following their diagnosis of PCL. Patients received a median of 2 prior lines of therapy (range 1-9) prior to receiving Dara-based regimens; 15 (42%) were refractory to an immunomodulatory agent (IMiD), 18 (58%) were refractory to a proteasome inhibitor (PI) and 10 (32%) were refractory to both. Twenty-eight (90%) were IMiD exposed, 31 (100%) were PI exposed. Eighteen (58%) were lenalidomide (R) refractory, 5(16%) were pomalidomide (P) refractory, 8 (26%) were carfilzomib (K) refractory and 13(42%) were bortezomib (V) refractory prior to receiving Dara. Four (13%) received Dara + chemotherapy, 8 (26%) received Dara + PI, 11 (35%) received Dara + IMiD, 5 (16%) received Dara + PI + IMiD and 4 (13%) received single agent Dara. Median follow up time was 26 months (m) (95% CI; 13-61) from diagnosis of PCL and 17m (95% CI; 10-23) from initiation of Dara. Overall response rate (ORR) to Dara-based regimens was 65% (20/31 ≥partial response). The median duration of response was 5.5m (95% CI; 5.6-12.7). The median time to first response was 1m (95% CI; 0.57-1.72) and the median time to best response was 1m (95% CI; 0.7-2.5). Since the start of Dara-based treatment, median progression free survival (PFS) was 4m (95% CI; 2-11, Figure 1A) and median overall survival (OS) was 9 m (95% CI; 5-21, Figure 1B). Patients with pPCL had superior PFS (19 m vs. 3m, p=0.0096) and OS (21 vs. 5m, p=0.0068, Figure 1C) following Dara-based treatment compared to those with sPCL, respectively. Being refractory to an IMiD, PI or both when receiving Dara did not affect PFS or OS. Patients with high risk cytogenetics had similar OS as compared to those with standard risk cytogenetics (8m vs.13m, p=0.89) following Dara-based treatment. After performing a landmark survival analysis at 3m, achieving ≥PR to a Dara-based regimen resulted in a trend towards superior OS (13m vs. 9 m, p=0.07, Figure 1D). Patients who underwent AHCT following the diagnosis of PCL had a superior OS (41m vs. 6m, p=0.020) however there were no PFS or OS differences whether Dara-based regimens were given before or after AHCT. Conclusions: Dara-based regimens induce a high ORR in patients with PCL with a rapid time to first response. However, the OS of patients with PCL, particularly sPCL remains dismal. Prospective trials for PCL patients using novel therapeutic strategies are warranted. 1Fernandez de Larrea, et al. Plasma Cell Leukemia: consensus statement on diagnostic requirements, response criteria, and treatment recommendations by the International Myeloma Working Group (IMWG). Leukemia. 2013; 27(4): 780-791. Disclosures Alhaj Moustafa: Acrotech: Consultancy. Kapoor:Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Cellectar: Consultancy; Celgene: Honoraria; Amgen: Research Funding; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding. Dingli:Millenium: Consultancy; Sanofi-Genzyme: Consultancy; Rigel: Consultancy; Bristol Myers Squibb: Research Funding; Karyopharm Therapeutics: Research Funding; Janssen: Consultancy; Alexion: Consultancy; Apellis: Consultancy. Ailawadhi:Phosplatin: Research Funding; Medimmune: Research Funding; BMS: Research Funding; Cellectar: Research Funding; Pharmacyclics: Research Funding; Janssen: Research Funding; Takeda: Honoraria; Amgen: Research Funding; Celgene: Honoraria.

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.

Abstract In response to the coronavirus disease 2019 (COVID-19) pandemic, the Cardio-Oncology and Imaging Councils of the American College of Cardiology offers recommendations to clinicians regarding the cardiovascular care of cardio-oncology patients in this expert consensus statement. Cardio-oncology patients—individuals with an active or prior cancer history and with or at risk of cardiovascular disease—are a rapidly growing population who are at increased risk of infection, and experiencing severe and/or lethal complications by COVID-19. Recommendations for optimizing screening and monitoring visits to detect cardiac dysfunction are discussed. In addition, judicious use of multimodality imaging and biomarkers are proposed to identify myocardial, valvular, vascular, and pericardial involvement in cancer patients. The difficulties of diagnosing the etiology of cardiovascular complications in patients with cancer and COVID-19 are outlined, along with weighing the advantages against risks of exposure, with the modification of existing cardiovascular treatments and cardiotoxicity surveillance in patients with cancer during the COVID-19 pandemic.

Background: Assessment of heterogeneity in meta-analyses is critical to ensure the consistency of pooled results. Therefore, we sought to assess the evaluation and reporting of heterogeneity in heart failure (HF) meta-analyses. Methods: Study level meta-analyses pertaining to HF were selected from January 2009 to July 2019, published in 11 high impact factor journals. We tabulated the overall proportion of the meta-analyses reporting statistical heterogeneity and specific metrics and methods employed to quantify and explore heterogeneity. Results: Of 126 HF meta-analyses (612 outcomes), heterogeneity was reported for 422 outcomes (68.9 %) in 108 meta-analyses. Out of the 422 outcomes reporting statistical heterogeneity, 137 outcomes (32.5%) had no observable heterogeneity: ( I 2 =0%), 40 outcomes (9.5%) had low heterogeneity ( I 2 <25%), 76 outcomes (18%) had moderate heterogeneity ( I 2 =25%–50%), and 169 outcomes (40%) had high heterogeneity ( I 2 >50%). Reporting of statistical heterogeneity was not significantly associated with year of publication, funding source, disclosure information, or the type of studies pooled. Sensitivity analysis (n=68) was the most common statistical technique employed to evaluate the source of heterogeneity followed by subgroup analyses (n=59) and meta-regression (n=40). Conclusions: Despite being an essential component of meta-analyses, heterogeneity was not reported for nearly 30% of outcomes and variably handled in contemporary HF meta-analyses. As meta-analyses increase across HF science, interpreting and handling of heterogeneity should be standardized.