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We recently reported an early hospital discharge (EHD) care strategy following intensive acute myeloid leukemia (AML)-like chemotherapy is safe. To evaluate its impact on infectious outcomes, we compared all adults treated from 8/1/2014 to 7/31/2018 discharging within 72 h of completing chemotherapy (EHD) with hospitalized patients (controls) across 354 induction and 259 post-remission cycles. While overall outcomes were similar, gram-positive bacteremias were more common in EHD patients than control (p

Several methodologies that rely on the detection of immunophenotypic or molecular abnormalities of the neoplastic cells are now available to quantify measurable (“minimal”) residual disease (MRD) in acute myeloid leukemia (AML). Although the perfect MRD test does not (yet) exist, the strong association between MRD and adverse patient outcomes has provided the impetus to use measures of MRD as biomarker in the routine care of AML patients and during clinical trials. MRD test results may inform the selection of postremission therapy in some patients but evidence supporting the use of MRD as predictive biomarker is still limited. Several retrospective studies have shown that conversion from undetectable to detectable MRD or increasing MRD over time is associated with overt disease recurrence, and MRD testing may therefore be valuable as a monitoring biomarker for early detection of relapse. Interpreting serial MRD data is complex, with open questions regarding the optimal timing and frequency of testing, as well as the identification of test-specific thresholds to define relapse. Importantly, it is unknown whether intervening at the time of MRD detection, rather than at overt disease recurrence, improves outcomes. Finally, using MRD as a surrogate efficacy-response biomarker to accelerate drug development/approval has already been accepted by regulatory authorities in other diseases and is of great interest as a potential strategy in AML. While the prognostic value of MRD in AML is well established, data from prospective clinical trials confirming that treatment effects on MRD directly relate to clinical outcomes are needed to further establish the role of MRD as a surrogate endpoint in AML.

Purpose High throughput panel sequencing to tailor therapy in precision oncology promises to improve outcome in patients with metastatic breast cancer. However, data that clearly show any benefit from such an approach is still pending. Materials and methods We performed a retrospective analysis of advanced breast cancer patients that underwent panel sequencing for suggestion of target related drugs. We aimed to (i) determine the frequency of actionable mutations per patient and to (ii) assess the clinical impact of results on treatment options. Results A total of 52 patients underwent panel sequencing of archived tumor tissue. Every sample showed at least one affected gene, accounting for actionable mutations in 45 of 52 patients (87%). New treatment options that would not have been used as indicated by standard predictive markers (such as hormonal receptor status or HER2-status) were found in 22 of 52 patients (42%). We detected therapeutic relevant pathogenic germline variants in 9,6% (5/52) of the patients. Conclusions Using a high throughput-panel sequencing approach to identify actionable mutations in patients with metastatic breast cancer, we identified potential target-related treatment options in a large proportion of our patients, some of which would not have been considered without this data. Prospective clinical trials with compounds targeting the identified actionable mutations are needed to determine which treatments can indeed improve survival or quality of life by limiting exposure to ineffective drugs in advanced breast cancer.

Few patients with cancer, including those with acute myeloid leukemia and high-grade myeloid neoplasms, participate in clinical trials. Broadening standard eligibility criteria may increase clinical trial participation. In this retrospective single-center analysis, we identified 442 consecutive newly diagnosed patients from 2014 to 2016. Patients were considered “eligible” if they had a performance status 0-2, normal renal and hepatic function, no recent solid tumor, left ventricular ejection fraction (EF) ≥50%, and no history of congestive heart failure (CHF) or myocardial infarction (MI); “ineligible” patients failed to meet one or more of these criteria. We included 372 patients who received chemotherapy. Ineligible patients represented 40% of the population and had a 1.79-fold greater risk of death (95% Confidence Interval [CI]: 1.37-2.33) than eligible patients. Very few patients had cardiac comorbidities, including 2% with low EF, 4% with prior CHF, and 5% with prior MI. In multivariable analysis, ineligibility was associated with decreased survival (Hazard ratio [HR] 1.44; 95% CI: 1.07-1.93). Allogeneic transplantation, performed in 150 patients (40%), was associated with improved survival (HR 0.66, 95% CI: 0.48-0.91). Therefore, standard eligibility characteristics identify a patient population with improved survival. Further treatment options are needed for patients considered ineligible for clinical trials.

Background Multigene assays are being used increasingly to aid in decision-making about chemotherapy in breast cancer. Here, we present the 21-gene recurrence score (RS) of patients tested in routine clinical practice in Germany. Patients and Methods In a retrospective analysis, 4695 patients with hormone receptor-positive and HER2-negative early breast cancer (pT1 – 3, pN0 – 1, M0) were included in whom RS testing was conducted in Germany between November 2015 and July 2018. RS groups as defined in the TAILORx trial (RS result 0 – 10; 11 – 25; 26 – 100) were used. Results Of these patients, 21% were assigned to the low RS group, 63% to the midrange RS group, and 15% to the high RS group. 1772 (81%) of 2175 node-negative patients over 50 years of age were grouped either into the low RS group or the midrange RS group. The portion of patients with a low or midrange RS was 90% among node-positive patients (1284 of 1432 patients), 79% among patients with Ki-67-high (≥ 20%) tumors (1829 of 2310 patients), 86% vs. 70% among patients with G2 and G3 tumors (3244 of 3762 patients and 368 of 522 patients), respectively, 88% among patients with a tumor size of > 5 cm (140 of 159 patients), and 82% among node-negative patients at high clinical risk (1110 of 1352). Conclusions The distribution of the 21-gene RS in German patients that were tested in routine clinical practice indicates that, according to the results of the TAILORx trial, chemotherapy may not be beneficial in most of these.

Background The increasing global prevalence of pulmonary nontuberculous mycobacteria (NTM) disease has called attention to challenges in NTM diagnosis and management. This study was conducted to understand management and outcomes of patients with pulmonary NTM disease at diverse centers across the United States. Methods We conducted a 10-year (2005–2015) retrospective study at 7 Vaccine and Treatment Evaluation Units to evaluate pulmonary NTM treatment outcomes in human immunodeficiency virus–negative adults. Demographic and clinical information was abstracted through medical record review. Microbiologic and clinical cure were evaluated using previously defined criteria. Results Of 297 patients diagnosed with pulmonary NTM, the most frequent NTM species were Mycobacterium avium-intracellulare complex (83.2%), M. kansasii (7.7%), and M. abscessus (3.4%). Two hundred forty-five (82.5%) patients received treatment, while 45 (15.2%) were followed without treatment. Eighty-six patients had available drug susceptibility results; of these, >40% exhibited resistance to rifampin, ethambutol, or amikacin. Of the 138 patients with adequate outcome data, 78 (56.5%) experienced clinical and/or microbiologic cure. Adherence to the American Thoracic Society/Infectious Diseases Society of America (ATS/IDSA) treatment guidelines was significantly more common in patients who were cured (odds ratio, 4.5, 95% confidence interval, 2.0–10.4; P Conclusions Despite ATS/IDSA Guidelines, management of pulmonary NTM disease was heterogeneous and cure rates were relatively low. Further work is required to understand which patients are suitable for monitoring without treatment and the impact of antimicrobial therapy on pulmonary NTM morbidity and mortality.

Background Despite the absence of adequate safety or efficacy data, clindamycin is widely prescribed in the neonatal intensive care unit. We evaluated the association between clindamycin exposure and adverse events, as well as antibiotic effectiveness in infants. Methods This was a retrospective cohort study of infants receiving clindamycin before postnatal day 121 who were discharged from a Pediatrix Medical Group neonatal intensive care unit (1997-2015). Using a previously developed pharmacokinetic model, we performed simulations to predict clindamycin exposure based on available dosing data. We used multivariable logistic regression to evaluate the association between clindamycin exposure and safety outcomes during and after clindamycin therapy. We reported the proportion of infants with methicillin-resistant Staphylococcus aureus (MRSA) bacteremia and clearance of MRSA bacteremia. Results A total of 4089 infants received clindamycin at a median (25th-75th percentile) dose of 15 mg/kg/d (12-16). Clearance increased with older gestational age. Infants with the highest total clindamycin exposure had marginally increased odds of necrotizing enterocolitis within 7 days (adjusted odds ratio = 1.95 [1.04-3.63]), but exposure was not associated with death, sepsis, seizures, intestinal perforation or intestinal strictures. Of 25 infants who had MRSA bacteremia, 19 (76%) cleared the infection by the end of the clindamycin course. Conclusions Higher clindamycin exposure was not associated with increased odds of death or nonlaboratory adverse events. The use of pharmacokinetic models combined with available electronic health record data offers a valuable, cost-effective approach to analyzing the safety and effectiveness of drugs in infants when large-scale trials are not feasible.

The quadrivalent HPV vaccine (HPV4) is recommended as a 3 dose schedule at 0, 2, 6 months for girls and boys. However, delays in dosing intervals frequently occur. We previously found that delayed intervals in girls resulted in similar or higher antibody (Ab) titers following series completion compared to the recommended schedule. We used archived specimens from that study to determine if delayed dosing intervals affected Ab avidity(a measure of how strongly Abs bind). The importance of avidity is unknown for HPV; however, avidity has been associated with clearance of other pathogens. We tested residual serum from 261 consenting healthy females, ages 9 through 18. Avidity index (AI) was determined just prior to and one month following dose 3 of HPV4 for each participant. Data were analyzed by dosing intervals, classified as:(1) on time dose 2 and 3, (2) delayed dose 2 and on time dose 3, (3) on time dose 2 and delayed dose 3, or (4) delayed dose 2 and 3. Avidity was measured using a modified multiplex ELISA, and AI was calculated as a ratio of IgG Ab bound in the treated and untreated sample. Overall, mean AI was highest for HPV16 and lowest for HPV6. As expected, AI did not differ between groups 1 & 3 or groups 2 & 4 after dose 2, however for most types mean AI was significantly higher for groups with delayed dose 2. Mean AI was higher post-dose 3 in all delayed dosing groups compared to the group 1 for all types. There was a weak to moderate correlation between overall AI and Ab titers for all types (HPV6r=0.27, HPV11 r=0.32, HPV16 r=0.25, HPV18 r=0.44; all p

Using the Vaccine Adverse Event Reporting System, the number and demographic characteristics of cases of thrombosis with thrombocytopenia syndrome occurring after receipt of COVID-19 vaccines in the United States were determined., Visual Abstract. Thrombosis With Thrombocytopenia Syndrome After COVID-19 Vaccination. Using the Vaccine Adverse Event Reporting System, the number and demographic characteristics of cases of thrombosis with thrombocytopenia syndrome occurring after receipt of COVID-19 vaccines in the United States were determined. Visual Abstract. Thrombosis With Thrombocytopenia Syndrome After COVID-19 Vaccination. Using the Vaccine Adverse Event Reporting System, the number and demographic characteristics of cases of thrombosis with thrombocytopenia syndrome occurring after receipt of COVID-19 vaccines in the United States were determined., Background: Thrombosis with thrombocytopenia syndrome (TTS) is a potentially life-threatening condition associated with adenoviral-vectored COVID-19 vaccination. It presents similarly to spontaneous heparin-induced thrombocytopenia. Twelve cases of cerebral venous sinus thrombosis after vaccination with the Ad26.COV2.S COVID-19 vaccine (Janssen/Johnson & Johnson) have previously been described. Objective: To describe surveillance data and reporting rates of all reported TTS cases after COVID-19 vaccination in the United States. Design: Case series. Setting: United States. Patients: Case patients receiving a COVID-19 vaccine from 14 December 2020 through 31 August 2021 with thrombocytopenia and thrombosis (excluding isolated ischemic stroke or myocardial infarction) reported to the Vaccine Adverse Event Reporting System. If thrombosis was only in an extremity vein or pulmonary embolism, a positive enzyme-linked immunosorbent assay for antiplatelet factor 4 antibodies or functional heparin-induced thrombocytopenia platelet test result was required. Measurements: Reporting rates (cases per million vaccine doses) and descriptive epidemiology. Results: A total of 57 TTS cases were confirmed after vaccination with Ad26.COV2.S (n = 54) or a messenger RNA (mRNA)–based COVID-19 vaccine (n = 3). Reporting rates for TTS were 3.83 per million vaccine doses (Ad26.COV2.S) and 0.00855 per million vaccine doses (mRNA-based COVID-19 vaccines). The median age of patients with TTS after Ad26.COV2.S vaccination was 44.5 years (range, 18 to 70 years), and 69% of patients were women. Of the TTS cases after mRNA-based COVID-19 vaccination, 2 occurred in men older than 50 years and 1 in a woman aged 50 to 59 years. All cases after Ad26.COV2.S vaccination involved hospitalization, including 36 (67%) with intensive care unit admission. Outcomes of hospitalizations after Ad26.COV2.S vaccination included death (15%), discharge to postacute care (17%), and discharge home (68%). Limitations: Underreporting and incomplete case follow-up. Conclusion: Thrombosis with thrombocytopenia syndrome is a rare but serious adverse event associated with Ad26.COV2.S vaccination. The different demographic characteristics of the 3 cases reported after mRNA-based COVID-19 vaccines and the much lower reporting rate suggest that these cases represent a background rate. Primary Funding Source: Centers for Disease Control and Prevention.

For many aggressive hematologic malignancies such as acute leukemias and myelodysplastic syndromes (MDS), allogeneic hematopoietic cell transplantation (HCT) may offer the best chance of cure. However, with conventional conditioning regimens, outcomes are suboptimal for many patients because of high rates of relapse. Therefore, especially for such high-risk patients, approaches that enhance the antitumor efficacy of conditioning regimens have been investigated to improve transplant outcomes. Exploiting the exquisite sensitivity of hematologic malignancies to radiation, one attractive strategy is built on antibodies labeled with radionuclides, or radioimmunotherapy (RIT), to deliver radiation to sites of disease while sparing normal organs to mitigate some of the nonspecific toxicities to normal organs seen with higher doses of total body irradiation (TBI). Here, we review some of these RIT efforts to improve outcomes of HCT for high-risk leukemias and MDS, the tumor-associated target antigens that have been used to deliver radiation to sites of disease, as well as the relative merits and limitations of individual radionuclides, including alpha- and beta-emitters. We also appraise recent efforts to further improve the tumor selectivity of RIT via pretargeting using bispecific antibodies.

Summary Background Functional impairment of interferon, a natural antiviral component of the immune system, is associated with the pathogenesis and severity of COVID-19. We aimed to compare the efficacy of interferon beta-1a in combination with remdesivir compared with remdesivir alone in hospitalised patients with COVID-19. Methods We did a double-blind, randomised, placebo-controlled trial at 63 hospitals across five countries (Japan, Mexico, Singapore, South Korea, and the USA). Eligible patients were hospitalised adults (aged ≥18 years) with SARS-CoV-2 infection, as confirmed by a positive RT-PCR test, and who met one of the following criteria suggestive of lower respiratory tract infection: the presence of radiographic infiltrates on imaging, a peripheral oxygen saturation on room air of 94% or less, or requiring supplemental oxygen. Patients were excluded if they had either an alanine aminotransferase or an aspartate aminotransferase concentration more than five times the upper limit of normal; had impaired renal function; were allergic to the study product; were pregnant or breast feeding; were already on mechanical ventilation; or were anticipating discharge from the hospital or transfer to another hospital within 72 h of enrolment. Patients were randomly assigned (1:1) to receive intravenous remdesivir as a 200 mg loading dose on day 1 followed by a 100 mg maintenance dose administered daily for up to 9 days and up to four doses of either 44 μg interferon beta-1a (interferon beta-1a group plus remdesivir group) or placebo (placebo plus remdesivir group) administered subcutaneously every other day. Randomisation was stratified by study site and disease severity at enrolment. Patients, investigators, and site staff were masked to interferon beta-1a and placebo treatment; remdesivir treatment was given to all patients without masking. The primary outcome was time to recovery, defined as the first day that a patient attained a category 1, 2, or 3 score on the eight-category ordinal scale within 28 days, assessed in the modified intention-to-treat population, defined as all randomised patients who were classified according to actual clinical severity. Safety was assessed in the as-treated population, defined as all patients who received at least one dose of the assigned treatment. This trial is registered with ClinicalTrials.gov , NCT04492475 . Findings Between Aug 5, 2020, and Nov 11, 2020, 969 patients were enrolled and randomly assigned to the interferon beta-1a plus remdesivir group (n=487) or to the placebo plus remdesivir group (n=482). The mean duration of symptoms before enrolment was 8·7 days (SD 4·4) in the interferon beta-1a plus remdesivir group and 8·5 days (SD 4·3) days in the placebo plus remdesivir group. Patients in both groups had a time to recovery of 5 days (95% CI not estimable) (rate ratio of interferon beta-1a plus remdesivir group vs placebo plus remdesivir 0·99 [95% CI 0·87–1·13]; p=0·88). The Kaplan-Meier estimate of mortality at 28 days was 5% (95% CI 3–7%) in the interferon beta-1a plus remdesivir group and 3% (2–6%) in the placebo plus remdesivir group (hazard ratio 1·33 [95% CI 0·69–2·55]; p=0·39). Patients who did not require high-flow oxygen at baseline were more likely to have at least one related adverse event in the interferon beta-1a plus remdesivir group (33 [7%] of 442 patients) than in the placebo plus remdesivir group (15 [3%] of 435). In patients who required high-flow oxygen at baseline, 24 (69%) of 35 had an adverse event and 21 (60%) had a serious adverse event in the interferon beta-1a plus remdesivir group compared with 13 (39%) of 33 who had an adverse event and eight (24%) who had a serious adverse event in the placebo plus remdesivir group. Interpretation Interferon beta-1a plus remdesivir was not superior to remdesivir alone in hospitalised patients with COVID-19 pneumonia. Patients who required high-flow oxygen at baseline had worse outcomes after treatment with interferon beta-1a compared with those given placebo. Funding The National Institute of Allergy and Infectious Diseases (USA).

Introduction Coccidioidomycosis is a fungal infection endemic in the southwestern United States (US). Primary pulmonary coccidioidomycosis (PPC) is a leading cause of community-acquired pneumonia (CAP) in this region, although its diagnosis is often delayed, leading to lag in antifungal treatment and subsequent morbidity. The impact of early empiric antifungal therapy as part of treatment for CAP in endemic areas on clinical outcomes is unknown. Methods Phase IV randomized, double-blind, placebo-controlled trial in individuals aged 18 years or older with CAP who met all eligibility criteria in Coccidioides endemic regions in the US. Eligible participants with CAP were randomized to receive either fluconazole (400 mg daily) or matching placebo for 42 days and were subsequently monitored for clinical resolution of their illness. Objectives The primary objective was to assess the clinical response of early empiric antifungal therapy with fluconazole through Day 22 in subjects with PPC who were adherent to the study intervention. Secondary objectives included: assessments of the impact of early empiric antifungal therapy with fluconazole through Day 22 and 43 in subjects with PPC regardless of adherence, comparisons of the clinical response and its individual components over time by treatment group in subjects with PPC, assessments of days lost from work or school, hospitalization, and all-cause mortality. Discussion This trial was halted early due to slow enrollment (72 participants in one year, 33 received fluconazole and 39 received placebo). Of those enrolled, eight (11%) met the study definition of PPC. The study design and challenges are discussed., Highlights • Clinical impact of early antifungal therapy for pneumonia in Coccidioides endemic regions is unknown. • We designed a phase IV trial in adults with community-acquired pneumonia in regions endemic for Coccidioides. • Trial was halted early due to slow enrollment and low prevalence of coccidioidomycosis in the enrollment population. • Lost to follow-up and treatment discontinuation were common in this trial.

OBJECTIVES:. We sought to validate prognostic scores in coronavirus disease 2019 including National Early Warning Score, Modified Early Warning Score, and age-based modifications, and define their performance characteristics. DESIGN:. We analyzed prospectively collected data from the Adaptive COVID-19 Treatment Trial. National Early Warning Score was collected daily during the trial, Modified Early Warning Score was calculated, and age applied to both scores. We assessed prognostic value for the end points of recovery, mechanical ventilation, and death for score at enrollment, average, and slope of score over the first 48 hours. SETTING:. A multisite international inpatient trial. PATIENTS:. A total of 1,062 adult nonpregnant inpatients with severe coronavirus disease 2019 pneumonia. INTERVENTIONS:. Adaptive COVID-19 Treatment Trial 1 randomized participants to receive remdesivir or placebo. The prognostic value of predictive scores was evaluated in both groups separately to assess for differential performance in the setting of remdesivir treatment. MEASUREMENTS AND MAIN RESULTS:. For mortality, baseline National Early Warning Score and Modified Early Warning Score were weakly to moderately prognostic (c-index, 0.60–0.68), and improved with addition of age (c-index, 0.66–0.74). For recovery, baseline National Early Warning Score and Modified Early Warning Score demonstrated somewhat better prognostic ability (c-index, 0.65–0.69); however, National Early Warning Score+age and Modified Early Warning Score+age further improved performance (c-index, 0.68–0.71). For deterioration, baseline National Early Warning Score and Modified Early Warning Score were weakly to moderately prognostic (c-index, 0.59–0.69) and improved with addition of age (c-index, 0.63–0.70). All prognostic performance improvements due to addition of age were significant (p < 0.05). CONCLUSIONS:. In the Adaptive COVID-19 Treatment Trial 1 cohort, National Early Warning Score and Modified Early Warning Score demonstrated moderate prognostic performance in patients with severe coronavirus disease 2019, with improvement in predictive ability for National Early Warning Score+age and Modified Early Warning Score+age. Area under receiver operating curve for National Early Warning Score and Modified Early Warning Score improved in patients receiving remdesivir versus placebo early in the pandemic for recovery and mortality. Although these scores are simple and readily obtainable in myriad settings, in our data set, they were insufficiently predictive to completely replace clinical judgment in coronavirus disease 2019 and may serve best as an adjunct to triage, disposition, and resourcing decisions.

Disorders of sexual development (DSD) may have their origin in alterations of the chromosomal, gonadal or phenotypic sex. Affected animals are usually presented because of ambiguous external genitalia, seldom because of reproductive disorders. Anti-Mullerian hormone (AMH) is secreted in the gonads with higher amounts in males than in females and can be used to identify gonadal tissue in sexually normally developed dogs. The aim of this study was to examine the diagnostic potential of serum AMH to identify testicular tissue in eleven dogs with DSD. The diagnostic procedures applied were: determination of the phenotypic sex (n=11), genital ultrasound (n=9), determination of the SRY gene (n=11), karyogram (n=6), gonadectomy (n=11), pathohistology of the gonads (n=10), serum AMH measurement (n=11). 39 female dogs described in a previous study and 19 male dogs with a normal spermiogram served as controls for the AMH serum concentrations in sexually intact dogs. The eleven dogs with DSD were classified as seven XY DSD and four XX DSD. Presumptive testes were obtained in ten dogs and one dog had an ovotestis combined with a testis. Mean serum AMH values of the dogs with DSD were significantly higher (P < 0.001) than in male and female controls. The upper limit of the AMH test (≥ 23ng/ml) was reached in six dogs. High AMH concentrations have been described previously in cryptorchid dogs. One dog with a male phenotype and two with a female phenotype had AMH values within the range of the male controls, although all of them had cryptorchid testes. A Poodle, in which epididymis were identified but no definitive gonads, had an AMH concentration of the lower limit of the test (≤ 0.01 ng/ml), comparable to previously described castrated dogs. This study indicates that serum AMH levels are a useful diagnostic tool to identify testicular tissue in dogs with DSD and suggests the possible use of AMH to diagnose testicular dysgenesis.

Introduction. Approximately 40% of patients (pts) with newly diagnosed AML either fail to achieve complete remission with intensive induction therapy or experience disease recurrence after a short remission (CR1 6 months), the probability of response for PIF/ER pts is particularly poor (~12%) with median expected overall survival of ~3.5 month and no approved therapy for this specific population. We have recently shown that increased immune infiltration of the tumor microenvironment (TME) is associated with induction failure and poor prognosis; conversely, an infiltrated TME predisposes for immunotherapy response1. We provide an update of the first-in-human study of flotetuzumab (FLZ), an investigational CD123 x CD3 bispecific DART® molecule currently in clinical development for PIF/ER AML pts. Methods. In this phase of the study, PIF is defined as being refractory to induction with: ≥1 high-intensity cytarabine-based chemotherapy (CTx) cycles, or ≥2 but ≤4 Bcl-2 inhibitor-based combinations, or gemtuzumab ozogamicin only. ER is defined as relapse following CR1 < 6 months. Pts who receive up to one prior salvage attempt are included. Pts whose AML recurred following HSCT are excluded. The recommended Phase 2 dose (RP2D) of FLZ is 500 ng/kg/day administered as a continuous infusion in 28-day cycles following a step-up ('priming') lead-in dose during Cycle 1 Week 1. Disease status is assessed by modified IWG criteria. Duration of response is measured from initial response to relapse or death. Results. As of July 1, 2020, 38 PIF/ER (as defined above) AML patients have been treated at the RP2D (median age 63yrs [range 28-81]; 31.6% [12] pts female). Most pts (63.2%, 24/38) were PIF and the large majority (94.7%, 36/38) had non-favorable risk by ELN 2017 criteria (25 pts adverse, 11 pts intermediate); 34.2% (13/38) had secondary AML. For ER pts, median duration of CR1 was 2.9 months (range: 0.7-4.0 months). Cytokine release syndrome (CRS) was the most frequently reported treatment related adverse event (TRAE), with all pts experiencing mild-to-moderate (grade ≤ 2) CRS. No grade ≥ 3 CRS events have been reported in this cohort. Most CRS events (51.5%) occurred in the first week of treatment during step-up dosing. The incidence of CRS progressively decreased during dosing at RP2D (34.8% in week 2, 4.5% in week 3, and 6.1% in week 4), allowing outpatient treatment in most cases. Neurologic AEs have been infrequent, with the most prominent event being grade 1 or grade 2 headache in 23.7% (9/38) treated at the RP2D. Two pts experienced grade 3 confusion of short duration (1-2 days) that was fully reversible. Over half (57.9%) of pts had evidence of antileukemic activity (reduction in blast count) with a median decrease of 92.7% in BM blasts (Fig. 1). The overall complete response rate (CRR, Conclusion: FLZ demonstrated encouraging activity in pts with PIF/ER AML, a population with poor prognosis and high unmet medical need, with 42.1% achieving CRR and over half of those receiving a stem cell transplant. Treatment is tolerable with a minimum 8 day inpatient treatment. The study is currently enrolling patients [NCT02152956] 1 Vadakekolathu J, Minden MD, Hood T, Church SE, Reeder S, Altmann H et al. Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia. Sci Trans Med 2020. Disclosures Aldoss: abbvie: Consultancy, Research Funding; agios: Honoraria; kite: Consultancy; autolus limited: Consultancy; JAZZ: Honoraria, Speakers Bureau; Amgen: Consultancy; Agios: Consultancy. Uy:Genentech: Consultancy; Agios: Consultancy; Pfizer: Consultancy; Jazz Pharmaceuticals: Consultancy; Daiichi Sankyo: Consultancy; Astellas Pharma: Honoraria. Emadi:Amgen: Membership on an entity's Board of Directors or advisory committees; NewLink Genetics: Research Funding; Jazz Pharmaceuticals: Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees; KinaRx: Other: co-founder and scientific advisor; Servier: Membership on an entity's Board of Directors or advisory committees. Walter:Aptevo Therapeutics: Research Funding. Foster:Daiichi Sankyo: Consultancy; Bellicum Pharmaceuticals: Research Funding; Macrogenics: Consultancy, Research Funding. Arellano:Hanmi: Research Funding; Gilead Sciences, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cephalon Oncology: Research Funding. Wieduwilt:Amgen: Research Funding; Macrogeneics: Research Funding; Leadiant: Research Funding; Merck: Research Funding; Shire: Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees. Michaelis:Jazz Pharmaceuticals: Research Funding. Stiff:Kite, a Gilead Company: Research Funding; Gamida Cell: Research Funding; Atara: Research Funding; Unum: Research Funding; Delta-Fly: Research Funding; Macrogenics: Research Funding; Amgen: Research Funding. Advani:Novartis: Consultancy, Other: advisory board; Pfizer: Honoraria, Research Funding; Takeda: Research Funding; OBI: Research Funding; Kite: Other: Advisory board/ honoraria; Amgen: Consultancy, Other: steering committee/ honoraria, Research Funding; Seattle Genetics: Other: Advisory board/ honoraria, Research Funding; Immunogen: Research Funding; Glycomimetics: Consultancy, Other: Steering committee/ honoraria, Research Funding; Macrogenics: Research Funding; Abbvie: Research Funding. Wermke:MacroGenics: Honoraria. Erba:AbbVie, Daiichi Sankyo, Forma, ImmunoGen, Jazz Pharmaceuticals, MacroGenics, Novartis, PTC: Research Funding; Glycomimetics: Other: member of Scientific Steering Committee; Celgene: Other: chair of the Scientific Steering Committee; Covance (AbbVie): Other: chair of the Independent Review Committee; AbbVie, Agios, Celgene, Incyte, Jazz Pharmaceuticals, and Novartis: Speakers Bureau; AbbVie, Agios, Amgen, Astellas, Celgene, Daiichi Sankyo, Glycomimetics, ImmunoGen, Incyte, Jazz Pharmaceuticals, MacroGenics, Novartis, and Pfizer: Consultancy. Topp:Amgen, Boehringer Ingelheim, KITE, Regeneron, Roche: Research Funding; Amgen, KITE, Novartis, Regeneron, Roche: Consultancy. Ravandi:Abbvie: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; Macrogenics: Research Funding; Celgene: Consultancy, Honoraria; AstraZeneca: Consultancy, Honoraria; Orsenix: Consultancy, Honoraria, Research Funding. Muth:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Collins:IQVIA: Other: I have worked as a contractor for IQVIA in the past, within the past 24 months.; MacroGenics: Current equity holder in publicly-traded company, Other: I currently work as a contractor for MacroGenics. Guo:Macrogenics: Current Employment. Tran:MacroGenics: Current Employment. Kaminker:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Patel:MacroGenics: Current Employment. Bakkacha:MacroGenics: Current Employment. Jacobs:MacroGenics: Current Employment. Seiler:MacroGenics: Current Employment. Rutella:Kura Oncology: Research Funding; MacroGenics Inc.: Research Funding; NanoString Technologies Inc.: Research Funding. Bonvini:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Davidson-Moncada:Macrogenics: Current Employment. DiPersio:Magenta Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Introduction: CRS is a potentially life-threatening toxicity observed following T cell-redirecting therapies. CRS is associated with elevated cytokines, including IL6, IFNγ, TNFα, IL2 and GM-CSF. Glucocorticosteroids (GC) and the IL6 receptor blocking antibody tocilizumab (TCZ) can reduce CRS severity; however, CRS may still occur and limit the therapeutic window of novel immunotherapeutic agents. Disruption of cytokine signaling via Janus kinase (JAK) pathway interference may represent a complementary approach to blocking CRS. Ruxolitinib (RUX), an oral JAK1/2 inhibitor approved for the treatment of myelofibrosis and polycythemia vera, interferes with signaling of several cytokines, including IFNγ and IL6, via blockade of the JAK/STAT pathway. We hypothesized that RUX may reduce the frequency and severity of CRS in R/R AML patients (pts) undergoing treatment with flotetuzumab (FLZ), an investigational CD123 x CD3 bispecific DART® molecule. Methods: Relapse/refractory (including primary induction failure, early relapse and late relapse) AML pts were included in this study. RUX pts were treated at a single site, Washington University, St. Louis, MO. RUX was dosed at 10 mg or 20mg BID days -1 through 14. Comparator (non-RUX) pts (n=23) were treated at other clinical sites. FLZ was administered at 500 ng/kg/day continuously in 28-day cycles following multi-step lead-in dosing in week 1 of cycle 1. CRS was graded per Lee criteria1. Results: As of July 1st, 2020, 10 R/R AML pts, median age 65 (range 40-82) years, have been enrolled and treated in the RUX cohort (6 at 10mg, 4 at 20 mg of RUX). All pts had non-favorable risk by ELN 2017 criteria (8 adverse and 2 intermediate); 1 (10.0%) pt had secondary AML; pt characteristics in the RUX and non-RUX cohorts were balanced, except for median baseline BM blasts which was higher in non-RUX pts: 15% (range 5-72) vs (40% (range 7-84), RUX and non-RUX pts respectively. Cytokine analysis showed statistically significant (p Conclusion: Prophylactic RUX produced a clear difference in cytokine profiles but no discernable improvement in clinical CRS or response rates in FLZ treated patients. A larger study may be required to determine the prophylactic role of RUX in CRS. References: 1. Lee DW, Gardner R, Porter DL, Louis CU, Ahmed N, Jensen M et al. Current concepts in the diagnosis and management of cytokine release syndrome. Blood 2014; 124(2): 188-195. doi: 10.1182/blood-2014-05-552729 Disclosures Uy: Pfizer: Consultancy; Agios: Consultancy; Genentech: Consultancy; Jazz Pharmaceuticals: Consultancy; Daiichi Sankyo: Consultancy; Astellas Pharma: Honoraria. Aldoss:abbvie: Consultancy, Research Funding; kite: Consultancy; agios: Honoraria; autolus limited: Consultancy; JAZZ: Honoraria, Speakers Bureau; Amgen: Consultancy; Agios: Consultancy. Arellano:Cephalon Oncology: Research Funding; Gilead Sciences, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees; Hanmi: Research Funding. Foster:Daiichi Sankyo: Consultancy; Bellicum Pharmaceuticals: Research Funding; Macrogenics: Consultancy, Research Funding. Ravandi:Celgene: Consultancy, Honoraria; Xencor: Consultancy, Honoraria, Research Funding; Macrogenics: Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Orsenix: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding. Advani:Takeda: Research Funding; Glycomimetics: Consultancy, Other: Steering committee/ honoraria, Research Funding; Macrogenics: Research Funding; Abbvie: Research Funding; Immunogen: Research Funding; Seattle Genetics: Other: Advisory board/ honoraria, Research Funding; Amgen: Consultancy, Other: steering committee/ honoraria, Research Funding; Kite: Other: Advisory board/ honoraria; Pfizer: Honoraria, Research Funding; Novartis: Consultancy, Other: advisory board; OBI: Research Funding. Wieduwilt:Macrogeneics: Research Funding; Amgen: Research Funding; Leadiant: Research Funding; Merck: Research Funding; Shire: Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees. Emadi:Genentech: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; NewLink Genetics: Research Funding; Jazz Pharmaceuticals: Research Funding; KinaRx: Other: co-founder and scientific advisor; Servier: Membership on an entity's Board of Directors or advisory committees. Michaelis:Jazz Pharmaceuticals: Research Funding. Stiff:Macrogenics: Research Funding; Kite, a Gilead Company: Research Funding; Delta-Fly: Research Funding; Unum: Research Funding; Atara: Research Funding; Gamida Cell: Research Funding; Amgen: Research Funding. Wermke:MacroGenics: Honoraria. Topp:Amgen, Boehringer Ingelheim, KITE, Regeneron, Roche: Research Funding; Amgen, KITE, Novartis, Regeneron, Roche: Consultancy. Muth:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Collins:MacroGenics: Current equity holder in publicly-traded company, Other: I currently work as a contractor for MacroGenics; IQVIA: Other: I have worked as a contractor for IQVIA in the past, within the past 24 months.. Guo:Macrogenics: Current Employment. Tran:MacroGenics: Current Employment. Kaminker:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Patel:MacroGenics: Current Employment. Bakkacha:MacroGenics: Current Employment. Jacobs:MacroGenics: Current Employment. Seiler:MacroGenics: Current Employment. Rutella:MacroGenics Inc.: Research Funding; Kura Oncology: Research Funding; NanoString Technologies Inc.: Research Funding. Walter:Aptevo Therapeutics: Research Funding. Bonvini:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Davidson-Moncada:Macrogenics: Current Employment. DiPersio:Magenta Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Respiratory symptoms and chest radiological abnormalities are common in adults with acute myeloid leukemia (AML) and other high-grade myeloid neoplasms [1]. For evaluation, flexible fiberoptic bron...

In acute myeloid leukaemia (AML) t(8;16)(p11;p13)/MYST3-CREBBP is a very rare abnormality. Previous small series suggested poor outcome. We report on 59 patients with t(8;16) within an international, collaborative study. Median age was 52 (range: 16-75) years. AML was de novo in 58%, therapy-related (t-AML) in 37% and secondary after myelodysplastic syndrome (s-AML) in 5%. Cytogenetics revealed a complex karyotype in 43%. Besides MYST3-CREBBP, whole-genome sequencing on a subset of 10 patients revealed recurrent mutations in ASXL1, BRD3, FLT3, MLH1, POLG, TP53, SAMD4B (n = 3, each), EYS, KRTAP9-1 SPTBN5 (n = 4, each), RUNX1 and TET2 (n = 2, each). Complete remission after intensive chemotherapy was achieved in 84%. Median follow-up was 5·48 years; five-year survival rate was 17%. Patients with s-/t-AML (P = 0·01) and those with complex karyotype (P = 0·04) had an inferior prognosis. Allogeneic haematopoietic cell transplantation (allo-HCT) was performed in 21 (36%) patients, including 15 in first complete remission (CR1). Allo-HCT in CR1 significantly improved survival (P = 0·04); multivariable analysis revealed that allo-HCT in CR1 was effective in de novo AML but not in patients with s-AML/t-AML and less in patients exhibiting a complex karyotype. In summary, outcomes of patients with t(8;16) are dismal with chemotherapy, and may be substantially improved with allo-HCT performed in CR1.

The presence of ‘measurable residual disease’ (MRD) is highly associated with relapse in patients achieving complete remission (CR) regardless of whether post-remission therapy includes allogeneic ...

The role of anti-Mullerian hormone (AMH) and insulin-like peptide 3 (INSL3) in male infertility is not fully understood. We used the downregulated testis as a model of gonadotropin-dependent infertility. Serum testosterone and AMH concentrations were studied in five adult male Beagles implanted (day 0) with 4.7 mg deslorelin (Suprelorin (R), Virbac) (DES group). Testicular expression of LH receptor (LHR) and androgen receptor (AR), AMH, type 2 AMH receptor (AMHR2), INSL3 and its receptor (RXFP2) was evaluated 112 days (16 weeks) after deslorelin treatment by qPCR and immunohistochemistry, and compared to untreated adult (CON, n = 6) and prepubertal (PRE, n = 8) dogs. Serum testosterone concentration decreased significantly by the onset of aspermia on study day 14 (four dogs) or day 21 (one dog), and was baseline on day 105 (week 15). In contrast, serum AMH started to increase only after the onset of aspermia and reached the maximum detectable concentration of the assay by day 49-105 in individual dogs. Testicular LHR gene expression in DES was lower than in CON and PRE (P < 0.0001), while AR gene expression in DES was similar to CON and significantly higher than PRE (P < 0.0001). Testicular AMH expression in DES was intermediate compared to the lowest mRNA levels found in CON and the highest in PRE (P < 0.006). AMHR2 gene expression was similar between groups. AMH protein was detected in Sertoli cells only, while AMHR2 immunoreactivity was principally detected in Leydig cells which appeared to be increased in DES. INSL3 and RXFP2 gene expression was significantly downregulated in the DES testis along with noticeably weak Leydig cell immunosignals compared to CON. In conclusion, deslorelin treatment caused testicular LH insensitivity without affecting androgen sensitivity, and de-differentiation of Sertoli and Leydig cells. In DES, upregulation of the AMH-AMHR2 feed-back loop and downregulation of the INSL3-RXFP2 feed-forward loop are paracrine-autocrine mechanisms that may additionally regulate testosterone production independent of gonadotropins. Our results support AMH and INSL3 as unique biomarkers and paracrine-autocrine regulators of testis function involved in the intimate interplay between Sertoli and Leydig cells. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PURPOSE With increasing therapeutic alternatives available, there is growing interest in tools that accurately identify patients most suitable for intensive acute myeloid leukemia (AML) chemotherapy. Nowadays, conceptual criteria proposed by an Italian panel of experts are widely used for this purpose. How accurately these Ferrara criteria predict fitness for intensive chemotherapy is unknown. PATIENTS AND METHODS We assessed the fitness of adults undergoing intensive AML therapy based on Ferrara criteria and determined the accuracy of this assessment for early mortality and survival prediction. RESULTS Among 655 adults who received curative-intent induction or reinduction chemotherapy with 7 days of standard-dose cytarabine and 3 days of an anthracycline (“7+3”) CLAG-M (cladribine, high-dose cytarabine, granulocyte colony-stimulating factor, and mitoxantrone), or reduced-dose CLAG-M, 197 (30%) met at least one of the criteria defining unfitness for intensive chemotherapy (F-unfit). Compared with F-fit patients, the overall survival of F-unfit patients was significantly shorter (median, 4.8 months; 95% CI, 3.6 to 6.5 months v 36.8 months; 95% CI, 27.4 to 73.0 months; P < .001). When used alone, the Ferrara unfitness assessment was more accurate in predicting day 28 and day 100 mortality than the treatment-related mortality score we developed previously (used binary, ≤ 13.1 v > 13.1), as indicated by area under the receiver operating characteristic curve (AUC) values of 0.76 and 0.79 versus 0.66 and 0.62. The predictive accuracy of the Ferrara unfitness assessment could be significantly improved by including additional covariates such as performance status and albumin, yielding AUCs as high as 0.84-0.85 for the prediction of day 28 or day 100 mortality. Prediction of overall survival was less accurate, yielding a c-statistic value as high as 0.75 in multivariable models. CONCLUSION Ferrara unfitness criteria provide a good prediction tool for shorter-term mortality after intensive AML chemotherapy. Our data may serve as a benchmark for expected outcomes with intensive chemotherapy in F-fit and F-unfit patients.

Importance Measurable residual disease (MRD) refers to neoplastic cells that cannot be detected by standard cytomorphologic analysis. In patients with acute myeloid leukemia (AML), determining the association of MRD with survival may improve prognostication and inform selection of efficient clinical trial end points. Objective To examine the association between MRD status and disease-free survival (DFS) and overall survival (OS) in patients with AML using scientific literature. Data Sources Clinical studies on AML published between January 1, 2000, and October 1, 2018, were identified via searches of PubMed, Embase, and MEDLINE. Study Selection Literature search and study screening were performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Studies that assessed DFS or OS by MRD status in patients with AML were included. Reviews, non–English-language articles, and studies reporting only outcomes after hematopoietic cell transplantation or those with insufficient description of MRD information were excluded. Data Extraction and Synthesis Study sample size, median patient age, median follow-up time, MRD detection method, MRD assessment time points, AML subtype, specimen source, and survival outcomes were extracted. Meta-analyses were performed separately for DFS and OS using bayesian hierarchical modeling. Main Outcomes and Measures Meta-analyses of survival probabilities and hazard ratios (HRs) were conducted for OS and DFS according to MRD status. Results Eighty-one publications reporting on 11 151 patients were included. The average HR for achieving MRD negativity was 0.36 (95% bayesian credible interval [CrI], 0.33-0.39) for OS and 0.37 (95% CrI, 0.34-0.40) for DFS. The estimated 5-year DFS was 64% for patients without MRD and 25% for those with MRD, and the estimated OS was 68% for patients without MRD and 34% for those with MRD. The association of MRD negativity with DFS and OS was significant for all subgroups, with the exception of MRD assessed by cytogenetics or fluorescent in situ hybridization. Conclusions and Relevance The findings of this meta-analysis suggest that achievement of MRD negativity is associated with superior DFS and OS in patients with AML. The value of MRD negativity appears to be consistent across age groups, AML subtypes, time of MRD assessment, specimen source, and MRD detection methods. These results support MRD status as an end point that may allow for accelerated evaluation of novel therapies in AML.

Because of transfusion needs and disease/treatment-related complications, intensive chemotherapy and subsequent care for adults with acute myeloid leukemia (AML) have historically been delivered in...

Patients with hematologic malignancy or bone marrow failure are typically required to achieve radiographic improvement or stabilization of invasive fungal infection (IFI) before hematopoietic cell transplantation (HCT) owing to a concern for progression before engraftment. Refractory IFI with a mixture of improvement and progression on serial imaging (ie, mixed response) poses a clinical dilemma, because a delay in HCT may allow for a hematologic relapse or other complications. Furthermore, HCT itself may yield the immune reconstitution necessary for clearance of infection. We sought to describe the characteristics and outcomes of patients who underwent HCT with mixed response IFI. We performed a chart review of all patients who underwent HCT between 2014 and 2020 in whom imaging within 6 weeks before HCT indicated a mixed response to treatment of a diagnosed IFI. Fourteen patients had evidence of a mixed response in low-to-moderate burden of diagnosed IFI by imaging before HCT, including 9 with pulmonary aspergillosis, 2 with hepatosplenic candidiasis (1 also with aspergillosis), and 4 with pulmonary nodules of presumed fungal etiology. Five had refractory severe neutropenia at evaluation for HCT (median, 95 days). All 14 patients showed radiographic stability or improvement in imaging following engraftment; no IFI-related surgeries were required, and no IFI-related deaths occurred. For patients without relapse who underwent HCT more than 1 year earlier, 7 of 8 (88%) were alive at 1 year. Our findings suggest that low-to-moderate burden IFI with mixed response is unlikely to progress on appropriate therapy before engraftment during allogeneic HCT.

How conditioning intensity is related to outcomes of AML patients undergoing allografting in morphologic remission is an area of great ongoing interest. We studied 743 patients in morphologic remission and known pre-transplant measurable residual disease (MRD) status determined by multiparameter flow cytometry (MFC) who received a first allograft after myeloablative, reduced intensity, or nonmyeloablative conditioning (MAC, RIC, and NMA). Overall, relapse-free survival (RFS) and overall survival (OS) were longer after MAC than RIC or NMA conditioning, whereas relapse risks were not different. Among MRDpos patients, 3-year estimates of relapse risks and survival were similar across conditioning intensities. In contrast, among MRDneg patients, 3-year RFS and OS were longer for MAC (69% and 71%) than RIC (47% and 55%) and NMA conditioning (47% and 52%). Three-year relapse risks were lowest after MAC (18%) and highest after NMA conditioning (30%). Our data indicate an interaction between conditioning intensity, MFC-based pre-transplant MRD status, and outcome, with benefit of intensive conditioning primarily for patients transplanted in MRDneg remission. Differing from recent findings from other studies that indicated MAC is primarily beneficial for some or all patients with MRDpos pre-HCT status, our data suggest MAC should still be considered for MRDneg AML patients if tolerated.

Allogeneic hematopoietic cell transplantation (HCT) is often unsuccessful for monosomal karyotype (MK) acute myeloid leukemia (AML). To what degree failures are associated with pretransplant measurable residual disease (MRD)—a dominant adverse-risk factor—is unknown. We therefore studied 606 adults with intermediate- or adverse-risk AML in morphologic remission who underwent allogeneic HCT between 4/2006 and 1/2019. Sixty-eight (11%) patients had MK AML, the majority of whom with complex cytogenetics. Before HCT, MK AML patients more often tested MRDpos by multiparameter flow cytometry (49 vs. 18%; P < 0.001) and more likely had persistent cytogenetic abnormalities (44 vs. 13%; P < 0.001) than non-MK AML patients. Three-year relapse/overall survival estimates were 46%/43% and 72%/15% for MRDneg and MRDpos MK AML patients, respectively, contrasted to 20%/64% and 64%/38% for MRDneg and MRDpos non-MK AML patients, respectively. After multivariable adjustment, MRDpos remission status but not MK remained statistically significantly associated with shorter survival and higher relapse risk. Similar results were obtained in several patient subsets. In summary, while our study confirms higher relapse rates and shorter survival for MK-AML compared with non-MK AML patients, these outcomes are largely accounted for by the presence of other adverse prognostic factors, in particular higher likelihood of pre-HCT MRD.

Despite the introduction of molecularly targeted therapeutics, multi-agent chemotherapy remains important for the treatment of newly diagnosed or relapsed/refractory acute myeloid leukemia (AML) [1...

Approximately 50% of acute myeloid leukemia (AML) patients do not respond to induction therapy (primary induction failure [PIF]) or relapse after

Patients with newly diagnosed (ND) and relapsed/refractory (RR) acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (MDS, ≥10% blasts) often receive intensive chemotherapy at diagnosis and relapse. We retrospectively identified 365 patients and categorized the reasons for receiving treatment off study (medical, logistical, or unclear). The pretreatment characteristics of the on and off study groups were similar. Rates of the complete remission (CR) without measurable residual disease were significantly higher for ND patients treated on versus off study (61% versus 35%), but CR rates and survival were low for all RR patients regardless of study assignment. The subset of ND patients treated off study for medical reasons had significantly decreased overall survival and relapse-free survival. Standard, stringent study eligibility criteria may delineate a population of ND, but not RR, patients with improved outcomes with intensive induction chemotherapy.

The need for new therapies for medically less fit adults with acute myeloid leukemia (AML) is unquestioned.[1][1] CPX-351, a liposomal formulation of cytarabine and daunorubicin,[2][2] may be an attractive option. In patients with relapsed/refractory leukemia, in whom CPX-351 was administered on

Introduction: The interleukin-3 receptor alpha chain (CD123) is a cell-surface target aberrantly expressed on various myeloid neoplasms including blastic plasmacytoid dendritic cell neoplasm (BPDCN), acute myeloid leukemia (AML), chronic myelomonocytic leukemia (CMML), and myelofibrosis (MF). Tagraxofusp (TAG, SL-401), a first-in-class CD123-targeted therapy, is the only treatment approved by the FDA and EMA for patients (pts) with BPDCN. It has also been investigated in phase 1/2 clinical trials for AML (including pts with minimal residual disease [MRD]), CMML, and MF. We report the aggregated safety data of TAG monotherapy from trials in BPDCN, AML, CMML, and MF. Methods: An integrated safety analysis was performed for pts who received TAG monotherapy in three phase 1/2, multicenter clinical studies: Study 0114 (NCT02113982; BPDCN/AML), Study 0214 (NCT02270463; AML with/without MRD), and Study 0314 (NCT02268253; CMML/MF; Table 1). Pts received the recommended phase 2 dose of 12 mcg/kg/day (d) IV on d1-3 (MF and CMML) or d1-5 (BPDCN and AML) and were analyzed for incidence and timing of treatment-related adverse events (TRAEs), AEs of interest, and discontinuations. Safety data for TAG monotherapy, reported as individual case study reports (ICSRs) postapproval (US) and from an early access program (EAP; EU) are also presented. Results: In total, 201 pts receiving TAG (12 mcg/kg/d) in a clinical trial setting were included: BPDCN, n=86; AML, n=36; AML with/without MRD, n=10; CMML, n=33; MF, n=36. As of Jul 2021, 11 (6%) pts discontinued TAG due to any-grade (Gr) TRAE. Most common TRAEs (any-Gr) are shown in Table 2 and included hypoalbuminemia (41%), increased alanine aminotransferase (ALT; 40%), increased aspartate aminotransferase (AST; 39%), and thrombocytopenia (26%). The most common Gr ≥3 TRAEs were thrombocytopenia (n=41; 20%), increased AST (n=40; 20%), and increased ALT (n=35; 17%). Tumor lysis syndrome occurred in 5% of pts and 1.5% had infusion-related reactions. Any-Gr and Gr ≥3 hematologic TRAEs are presented in Table 3. Most common was thrombocytopenia. All TRAEs were transient in nature; prolonged bone marrow suppression was not observed. Overall, 23% (47/201) of pts experienced ≥1 treatment-related serious AE. Onset of most TRAEs, irrespective of Gr, commonly occurred in cycle 1 and resolved by cycle 2. Although the number of pts in cycles ≥2 was lower than in cycle 1, the incidence rates of common TRAEs also substantially decreased in subsequent cycles. Capillary leak syndrome (CLS) occurred in 17% of the overall 201 pts. The majority of all CLS events were nonsevere, Gr ≤2 (n=22; 63%); also reported were Gr 3, n=10 (29%); Gr 4, n=3 (9%), and 2 pts experienced a Gr 5 event. Onset of CLS was usually within the first week of cycle 1 (median time to onset [range], d: 5.5 [1-51]) and resolved quickly (median time to resolution [range], d: 5.0 [2-69]); no pts experienced the first onset after cycle 2. Of the 15 pts who resumed treatment after an initial CLS event, only 1 pt experienced a recurrence. The most common AEs reported as ICSRs postapproval and from an EAP (December 2018 to June 2021) were CLS, blood albumin decreased, thrombocytopenia, pyrexia, and hepatic enzyme increased. No new safety signals that would alter the safety profile were observed. Conclusions: This integrated analysis represents the largest collection of safety data (N=201) following treatment with TAG monotherapy. TAG has an established and manageable safety profile, with the vast majority of AEs reported as transient and decreasing in frequency/severity with increasing cycles. CLS was reported in 17% of pts; onset was usually within cycle 1, resolved quickly (median time to resolution: 5.0 d) by early intervention measures including holding treatment, and no pts experienced first onset after cycle 2. Risk-minimization guidelines for CLS were developed and implemented during clinical trials and incorporated into prescribing information. No myelosuppression or cumulative toxicity was observed over multiple treatment cycles. The safety profile observed postapproval and in the EAP was consistent with the clinical trial data reported, reflecting successful adoption of risk-management strategies in real-world practice. These data confirm the favorable benefit-risk profile of TAG monotherapy has been maintained in the 3 years following US approval. Figure 1 Figure 1. Disclosures Pemmaraju: ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; Sager Strong Foundation: Other; Blueprint Medicines: Consultancy; Incyte: Consultancy; Bristol-Myers Squibb Co.: Consultancy; Pacylex Pharmaceuticals: Consultancy; Cellectis S.A. ADR: Other, Research Funding; Aptitude Health: Consultancy; Celgene Corporation: Consultancy; CareDx, Inc.: Consultancy; Springer Science + Business Media: Other; Daiichi Sankyo, Inc.: Other, Research Funding; Samus: Other, Research Funding; Clearview Healthcare Partners: Consultancy; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; MustangBio: Consultancy, Other; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; LFB Biotechnologies: Consultancy; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; Protagonist Therapeutics, Inc.: Consultancy; Affymetrix: Consultancy, Research Funding; DAVA Oncology: Consultancy; Plexxicon: Other, Research Funding; Roche Diagnostics: Consultancy; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; ImmunoGen, Inc: Consultancy. Kantarjian: NOVA Research: Honoraria; Aptitude Health: Honoraria; Immunogen: Research Funding; BMS: Research Funding; Precision Biosciences: Honoraria; Novartis: Honoraria, Research Funding; Ascentage: Research Funding; Pfizer: Honoraria, Research Funding; Astra Zeneca: Honoraria; Astellas Health: Honoraria; Jazz: Research Funding; Ipsen Pharmaceuticals: Honoraria; Amgen: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; KAHR Medical Ltd: Honoraria; AbbVie: Honoraria, Research Funding; Taiho Pharmaceutical Canada: Honoraria. Sweet: Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AROG: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Bristol Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Wang: Kite Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; DAVA Oncology: Consultancy, Speakers Bureau; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Consultancy, Honoraria, Other: Advisory board, Speakers Bureau; Genentech: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy, Honoraria, Other: Advisory Board; Takeda: Consultancy, Honoraria, Other: Advisory board; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Other: Advisory Board, Speakers Bureau; Kura Oncology: Consultancy, Honoraria, Other: Advisory board, steering committee, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: Advisory Board; Mana Therapeutics: Consultancy, Honoraria; Rafael Pharmaceuticals: Other: Data safety monitoring committee; Gilead: Consultancy, Honoraria, Other: Advisory board; Daiichi Sankyo: Consultancy, Honoraria, Other: Advisory board; PTC Therapeutics: Consultancy, Honoraria, Other: Advisory board; Genentech: Consultancy; MacroGenics: Consultancy. Lane: N-of-One: Consultancy, Honoraria; Stemline Therapeutics: Research Funding; Qiagen: Consultancy, Honoraria; AbbVie: Research Funding. Ali: Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Speakers Bureau; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees. Stein: Amgen: Consultancy, Speakers Bureau; Celgene: Speakers Bureau; Stemline: Speakers Bureau. Yacoub: Agios: Membership on an entity's Board of Directors or advisory committees; Acceleron Pharma: Membership on an entity's Board of Directors or advisory committees; CTI Biopharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Incyte: Speakers Bureau. Rizzieri: Celltron/Teva: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: presentation to FDA for biosimilar review ; AROG: Other; Amgen: Other: personal fee; Bayer: Consultancy, Honoraria; Kite: Other: personal fee; Mustang: Consultancy, Honoraria; Stemline Therapeutics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Other: personal fee; Gilead: Other: personal fee; Jazz: Other: personal fee; Pharmacyclics: Other. Vasu: Seattle Genetics: Other: travel support; Boehringer Ingelheim: Other: Travel support; Kiadis, Inc.: Research Funding; Omeros, Inc.: Membership on an entity's Board of Directors or advisory committees. Gupta: AbbVie: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy; Constellation Pharma: Consultancy, Honoraria; Pfizer: Consultancy; BMS-Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sierra Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Research Funding. Lee: BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pin Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Innate: 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. Schiller: Sangamo: Research Funding; Actinium Pharmaceuticals, Inc: Research Funding; FujiFilm: Research Funding; Pfizer: Current equity holder in publicly-traded company, Research Funding; Abbvie: Research Funding; Karyopharm: Research Funding; Onconova: Research Funding; Celator: Research Funding; Actuate: Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Trovagene: Research Funding; Deciphera: Research Funding; Gamida Cell Ltd.: Research Funding; Forma: Research Funding; Ono-UK: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Arog: Research Funding; Takeda: Research Funding; Geron: Research Funding; Jazz: Consultancy, Honoraria, Research Funding, Speakers Bureau; PrECOG: Research Funding; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau; Mateon: Research Funding; Constellation Pharmaceuticals: Research Funding; Daiichi-Sankyo: Research Funding; Tolero: Research Funding; Stemline Therapeutics, Inc.: Honoraria, Research Funding, Speakers Bureau; Samus: Research Funding; Astellas: Honoraria, Research Funding, Speakers Bureau; Regimmune: Research Funding; BMS/Celgene: Consultancy, Current equity holder in publicly-traded company, Research Funding, Speakers Bureau; Agios: Consultancy, Research Funding, Speakers Bureau; Amgen: Consultancy, Current equity holder in publicly-traded company, Honoraria, Research Funding, Speakers Bureau; Bio: Research Funding; Elevate: Research Funding; Delta-Fly: Research Funding; Genentech-Roche: Research Funding; Ariad: Research Funding; Sanofi: Honoraria, Research Funding, Speakers Bureau; Pharma: Consultancy; Johnson & Johnson: Current equity holder in publicly-traded company; Biomed Valley Discoveries: Research Funding; Eli Lilly: Research Funding; ASH foundation: Other: Chair-unpaid; Sellas: Research Funding; Ono: Consultancy; Incyte: Consultancy; AstraZeneca: Consultancy; Kaiser Permanente: Consultancy; Cyclacel: Research Funding; MedImmune: Research Funding; Ambit: Research Funding; Leukemia & Lymphoma Society: Research Funding; Bluebird Bio: Research Funding; Boehringer-Ingleheim: Research Funding; Cellerant: Research Funding; CTI Biopharma: Research Funding; Janssen: Research Funding; Kura Oncology: Research Funding; Pharmacyclics: Honoraria, Speakers Bureau; Millennium: Research Funding; National Marrow Donor Program: Research Funding; NIH: Research Funding; Onyx: Research Funding; Pharmamar: Research Funding; UC Davis: Research Funding; UCSD: Research Funding; Evidera: Consultancy; NCI: Consultancy; Novartis: Speakers Bureau. Foran: trillium: Research Funding; actinium: Research Funding; aptose: Research Funding; novartis: Honoraria; OncLive: Honoraria; servier: Honoraria; gamida: Honoraria; takeda: Research Funding; boehringer ingelheim: Research Funding; abbvie: Research Funding; certara: Honoraria; bms: Honoraria; pfizer: Honoraria; sanofi aventis: Honoraria; revolution medicine: Honoraria; taiho: Honoraria; syros: Honoraria; kura: Research Funding; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Walter: Macrogenics: Consultancy, Research Funding; Jazz: Research Funding; Pfizer: Consultancy, Research Funding; Selvita: Research Funding; Amphivena: Consultancy, Other: ownership interests; Agios: Consultancy; Astellas: Consultancy; BMS: Consultancy; Genentech: Consultancy; Janssen: Consultancy; Kite: Consultancy; Immunogen: Research Funding; Celgene: Consultancy, Research Funding; Aptevo: Consultancy, Research Funding; Amgen: Research Funding. Sieminski: Stemline Therapeutics: Current Employment, Current holder of stock options in a privately-held company. 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. Mughal: Oxford University Press, Informa: Other: financial benefit and/or patents ; Stemline: Current Employment, Current holder of stock options in a privately-held company. Konopleva: Calithera: Other: grant support, Research Funding; Reata Pharmaceuticals: Current holder of stock options in a privately-held company, Patents & Royalties: intellectual property rights; Genentech: Consultancy, Honoraria, Other: grant support, Research Funding; Agios: Other: grant support, Research Funding; Ascentage: Other: grant support, Research Funding; AstraZeneca: Other: grant support, Research Funding; Rafael Pharmaceuticals: Other: grant support, Research Funding; Forty Seven: Other: grant support, Research Funding; Ablynx: Other: grant support, Research Funding; Eli Lilly: Patents & Royalties: intellectual property rights, Research Funding; Novartis: Other: research funding pending, Patents & Royalties: intellectual property rights; Stemline Therapeutics: Research Funding; KisoJi: Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria, Other: grant support; Cellectis: Other: grant support; Sanofi: Other: grant support, Research Funding; AbbVie: Consultancy, Honoraria, Other: Grant Support, Research Funding.

Background: Therapeutic resistance and treatment tolerance vary greatly in patients with AML, likely due to the advanced age and genetic diversity in pharmacokinetics of those affected. Undoubtedly, tools to accurately predict outcomes of individual therapies for patients could inform decision-making and improve response rates. To this end, several scoring systems have been developed aimed at identifying patients at high risk of poor outcome after intensive chemotherapy. Similar tools for use after non-intensive therapies are currently not available. As such therapies are increasingly effective and more widely utilized we sought to develop tools to predict early death and survival for patients treated with non-intensive therapies. Patients and Methods: We developed prediction models for all-cause death by day 28, 42, 56, and 100 from enrollment using data from 796 patients enrolled on MRC/NCRI trial LI-1, which we then validated in a cohort of 540 patients treated on SWOG trials S0432, S0703, and S1612. Treatments included: Low dose Ara-C (LDAC) alone, sapacitabine alone and LDAC in combination with vosaroxin, tosedostat or ganetespib (MRC/NCRI); Azacytidine (AZA) alone, tipifarnib alone, and AZA in combination with mylotarg, midostaurin, and nivolumab (SWOG). The following covariates were available in the MRC/NCRI and SWOG cohorts to build multivariable logistic regression models (quantitative unless specified otherwise): age, performance status (PS; 0-1 vs. 2-4), secondary AML (vs. de novo AML or high-risk myelodysplastic syndrome), white blood cell and platelet counts, and percentage of bone marrow blasts - all assessed at enrollment. The regression coefficients from the model fit in the MRC/NCRI cohort were used to derive a score and applied to each patient in the SWOG cohort. The models' prognostic accuracies were assessed using the area under the receiver operating characteristic curve (AUC). For the MRC/NCRI cohort, additional covariates were available: cytogenetic risk (per Grimwade 2011), FLT3-ITD, and NPM1 mutation and patient-reported outcomes using the QLQ-C30 instrument. Logistic regression models with these covariates were fit and optimism-corrected AUC estimated to assess prognostic performance for early death. Results: Both patient cohorts were largely composed of older individuals (median age of 75 [range: 60-91] for MRC/NCRI and 77 [60-94] for SWOG, respectively. A substantial subset in each had a PS of 2-4 (MRC/NCRI: 20%; SWOG: 37%) and/or secondary AML (MRC/NCRI: 26%; SWOG: 41%). Overall, the ability to predict early death either by day 28, 42, 56, or 100 was limited in the MRC/NCRI cohort. Subscales of the QLQ-C30 had univariate AUC=0.67, the highest among all covariates evaluated. Multivariable models with just clinical covariates had optimism-corrected AUCs ranging from 0.63-0.65; adding cytogenetic risk and FLT3-ITD and NPM1 mutation status led optimism-corrected AUCs ranging from 0.64-0.66; addition of two QLQ-C30 subscales (fatigue and appetite loss) led to optimism-corrected AUCs ranging from 0.66-0.69. The SWOG cohort did not collect QLQ-C30 or mutational data on all patients and only the clinical multivariable models could be evaluated. The models had a similar performance in the SWOG cohort with AUCs ranging from 0.65-0.68. Conclusion: Our ability to predict early death in older patients treated with lower intensity AML therapies is limited with routinely available clinical variables. Inclusion of cytogenetic risk, FLT3-ITD, and NPM1 mutation status minimally improved the prognostic accuracy as did some of the QLQ-C30 subscales. Our data highlight the difficulties in predicting outcomes with non-intensive AML therapy with routinely available baseline clinical information. Improving the clinical utility of these models may require more complete characterization of patient comorbidities (including frailty index, cognitive function, renal and hepatic function, comorbidity scores) or additional PRO measures since some QLQ-C30 subscales had the strongest univariate signals. Support: NIH/NCI grants CA180888 and CA180819; Blood Cancer UK grant 13041 and Cardiff University. Figure 1 Figure 1. Disclosures Assouline: Novartis: Honoraria, Research Funding; Amgen: Current equity holder in publicly-traded company, Research Funding; Gilead: Speakers Bureau; Johnson&Johnson: Current equity holder in publicly-traded company; Jewish General Hospital, Montreal, Quebec: Current Employment; Eli Lilly: Research Funding; Roche/Genentech: Research Funding; Takeda: Research Funding; BeiGene: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria. Erba: AbbVie Inc; Agios Pharmaceuticals Inc; Astellas; Bristol Myers Squibb; Celgene, a Bristol Myers Squibb company; Daiichi Sankyo Inc; Genentech, a member of the Roche Group; GlycoMimetics Inc; Incyte Corporation; Jazz Pharmaceuticals Inc; Kura Oncology; Nov: Other: Advisory Committee; AbbVie Inc: Other: Independent review committee; AbbVie Inc; Agios Pharmaceuticals Inc; Bristol Myers Squibb; Celgene, a Bristol Myers Squibb company; Incyte Corporation; Jazz Pharmaceuticals Inc; Novartis: Speakers Bureau; AbbVie Inc; Agios Pharmaceuticals Inc; ALX Oncology; Amgen Inc; Daiichi Sankyo Inc; FORMA Therapeutics; Forty Seven Inc; Gilead Sciences Inc; GlycoMimetics Inc; ImmunoGen Inc; Jazz Pharmaceuticals Inc; MacroGenics Inc; Novartis; PTC Therapeutics: Research Funding. Walter: Jazz: Research Funding; Pfizer: Consultancy, Research Funding; Selvita: Research Funding; Amphivena: Consultancy, Other: ownership interests; Agios: Consultancy; Astellas: Consultancy; BMS: Consultancy; Genentech: Consultancy; Janssen: Consultancy; Kite: Consultancy; Macrogenics: Consultancy, Research Funding; Immunogen: Research Funding; Celgene: Consultancy, Research Funding; Aptevo: Consultancy, Research Funding; Amgen: Research Funding. Othus: Daiichi Sankyo: Consultancy; Celgene: Other: Data safety monitoring board; Merck: Consultancy; Biosight: Consultancy; Glycomimetics: Other: Data safety monitoring board.

BACKGROUND: Despite improvements in the treatment of "unfit or older" AML patients with the combination of azacitidine (AZA) and venetoclax (VEN), long-term survival for these patients remains poor. Additions to this new regimen may further improve patient outcomes. Overexpression of CD123, the alpha subunit of the IL-3 receptor, is seen in AML blasts. IMGN632 is a CD123-targeting antibody-drug conjugate (ADC) comprised of a high-affinity anti-CD123 antibody coupled to a DNA-alkylating payload of the novel IGN (indolinobenzodiazepine pseudodimer) class. Preclinical data have demonstrated synergy between IMGN632 and AZA and/or VEN, including overcoming AZA/VEN resistance in murine AML models (Kuruvilla ASH 2020), supporting the clinical exploration of these combinations. Doublets of IMGN632 with both AZA and VEN were studied in AML patients and supported testing of the triplet of IMGN632, AZA, and VEN. Here we report the initial safety and anti-leukemia activity findings from this novel triplet. METHODS: This Phase 1b/2 study was designed to determine the safety, tolerability, and preliminary anti-leukemic activity of IMGN632 combined with AZA and VEN in patients with CD123-positive AML. To date, the triplet combination escalation consists of 5 cohorts of IMGN632 plus AZA and VEN, each agent designated by "C" for IMGN632 dose in mcg/kg, "A" for AZA dose in mg/m2 x7 days, or "V" for VEN # of days at 400mg QD. Four cohorts dosed IMGN632 on Day 7 of each cycle (C15A50V8, C15A50V14, C15A75V21, C45A50V8), and one cohort dosed IMGN632 on Day 1 of each cycle (Day 1 C15A50V14). Responses are determined using modified ELN criteria with a 14-day count recovery window. RESULTS: At the time of this analysis, preliminary safety data are available for 35 relapsed or refractory (R/R) AML patients. The median age was 69y, 23% had secondary AML, 86% received prior intensive therapies, 37% that were refractory to first line therapy, and 51% had received prior VEN. Twenty-three percent of patients had FLT3 mutations. The toxicity profile was manageable in this R/R AML population with multiple prior therapies. The most common treatment emergent adverse events (TEAE) all grades [grade 3+ events] seen in >20% of patients were infusion-related reactions (IRR, 37% [3%]), febrile neutropenia (26% [23%]), hypophosphatemia (26% [3%]), dyspnea (26% [6%]), pneumonia (20% [14%]), and fatigue (20% [0%]). One patient in the Day 1 C15A50V14 cohort discontinued IMGN632 due to a TEAE (DLT IRR, resolved). Cytopenias and infections were consistent with those observed with the AZA+VEN regimen in this R/R population. No TLS, VOD, capillary leak or cytokine release were observed. 30-day mortality was 0%. Efficacy was seen across all cohorts/doses and schedules (efficacy evaluable population, n=29). The objective response rate (ORR) was 55% with a composite complete remission (CCR) rate of 31% (1 CR, 4 CRh, 2 CRp, 2 CRi). Higher intensity cohorts (IMGN632 dose 45 mcg/kg or 14-21 days of VEN) on the Day 7 schedule (n=20) were associated with higher response rates: ORR 75%, CCR rate 40% (Figure 1). At these higher intensity cohorts, in the VEN naïve subset (n=10), ORR/CCR rates were 100%/60%, respectively. Significant activity was also seen in the FLT3 mutant subset (n=7), with ORR/CCR rates of 100%/71%. CONCLUSION: With a manageable safety profile in this R/R AML population, the novel IMGN632 triplet demonstrated compelling anti-leukemia activity. Ongoing escalation cohorts aim to optimize safety and efficacy of the triplet therapy. Expansion proof-of-concept cohorts are planned in both relapsed and frontline AML patients (NCT04086264). Updated safety, efficacy, and PK data will be presented. Figure 1 Figure 1. Disclosures Daver: Trillium: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Sevier: Consultancy, Research Funding; Glycomimetics: Research Funding; ImmunoGen: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Novimmune: Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; Hanmi: Research Funding; Amgen: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Trovagene: Consultancy, Research Funding; Novartis: Consultancy; Pfizer: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Other: Data Monitoring Committee member; Dava Oncology (Arog): Consultancy; Celgene: Consultancy; Syndax: Consultancy; Shattuck Labs: Consultancy; Agios: Consultancy; Kite Pharmaceuticals: Consultancy; SOBI: Consultancy; STAR Therapeutics: Consultancy; Karyopharm: Research Funding; Newave: Research Funding. Aribi: Seagen: Consultancy. Montesinos: Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Karyopharm: 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, Speakers Bureau; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Tolero Pharmaceutical: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Stemline/Menarini: Consultancy; Forma Therapeutics: Consultancy; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau. Roboz: Astex: Consultancy; Jazz: Consultancy; Glaxo SmithKline: Consultancy; Mesoblast: Consultancy; Blueprint Medicines: Consultancy; AstraZeneca: Consultancy; Bayer: Consultancy; Daiichi Sankyo: Consultancy; Amgen: Consultancy; MEI Pharma - IDMC Chair: Consultancy; Astellas: Consultancy; Agios: Consultancy; Actinium: Consultancy; AbbVie: Consultancy; Janssen: Research Funding; Jasper Therapeutics: Consultancy; Celgene: Consultancy; Helsinn: Consultancy; Janssen: Consultancy; Bristol Myers Squibb: Consultancy; Novartis: Consultancy; Otsuka: Consultancy; Pfizer: Consultancy; Roche/Genentech: Consultancy. Wang: Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Other: Advisory Board, Speakers Bureau; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Stemline Therapeutics: Consultancy, Honoraria, Other: Advisory board, Speakers Bureau; Kura Oncology: Consultancy, Honoraria, Other: Advisory board, steering committee, Speakers Bureau; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Mana Therapeutics: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria, Other: Advisory Board; Novartis: Consultancy, Honoraria, Other: Advisory Board; Kite Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Genentech: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Other: Advisory board; DAVA Oncology: Consultancy, Speakers Bureau; Rafael Pharmaceuticals: Other: Data safety monitoring committee; Gilead: Consultancy, Honoraria, Other: Advisory board; Daiichi Sankyo: Consultancy, Honoraria, Other: Advisory board; PTC Therapeutics: Consultancy, Honoraria, Other: Advisory board; Genentech: Consultancy; MacroGenics: Consultancy. Walter: Agios Pharmaceuticals, Inc.: Consultancy, Research Funding; Amgen, Inc.: Consultancy, Research Funding; Amphivena Therapeutics, Inc.: Current equity holder in publicly-traded company; Aptevo Therapeutics, Inc.: Consultancy, Research Funding; Arog Pharmaceuticals, Inc.: Research Funding; Astellas Pharma US, Inc.: Consultancy; BioLineRx, Ltd.: Consultancy, Research Funding; Boston Biomedical, Inc.: Consultancy; Bristol Myers Squibb, Inc.: Consultancy; Celgene, Inc.: Consultancy, Research Funding; Genentech, Inc.: Consultancy; GlaxoSmithKline, Inc.: Consultancy; ImmunoGen, Inc.: Research Funding; Janssen Global Services, LLC: Consultancy; Janssen Research & Development, Inc.: Research Funding; Jazz Pharmaceuticals, Inc.: Consultancy, Research Funding; Kite Pharma, Inc.: Consultancy; Kronos Bio, Inc.: Consultancy; Kura Oncology, Inc.: Research Funding; Macrogenics, Inc.: Research Funding; New Link Genetics: Consultancy; Pfizer, Inc.: Consultancy, Research Funding; Race Oncology Ltd.: Consultancy; Selvita: Research Funding; Stemline Therapeutics, Inc.: Research Funding. Jeyakumar: Jazz: Research Funding; Pfizer: Research Funding. DeAngelo: Abbvie: Research Funding; Blueprint Medicines Corporation: Consultancy; Incyte Corporation: Consultancy; Forty-Seven: Consultancy; Autolus: Consultancy; Agios: Consultancy; Amgen: Consultancy; GlycoMimetics: Research Funding; Shire: Consultancy; Takeda: Consultancy; Novartis: Consultancy, Research Funding; Pfizer: Consultancy; Jazz: Consultancy. Erba: Celgene: Membership on an entity's Board of Directors or advisory committees; AbbVie, Agios, Amgen, Astellas Pharma, Celgene, Daiichi Sankyo, Glycomimetics, ImmunoGen, Incyte, Jazz Pharmaceuticals, MacroGenics, Novartis, and Pfizer: Consultancy; Glycomimetics: Membership on an entity's Board of Directors or advisory committees; Covance (AbbVie): Other: Independent Review Committee ; AbbVie, Agios, Celgene, Incyte, Jazz Pharmaceuticals, and Novartis: Speakers Bureau; AbbVie, Daiichi Sankyo, Forma, ImmunoGen, Jazz Pharmaceuticals, MacroGenics, Novartis, and PTC: Research Funding. Advani: Abbvie: Research Funding; Immunogen: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding; OBI: Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Macrogenics: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding. Martinelli: Celgene /BMS: Consultancy, Speakers Bureau; Stemline Therapeutics: Consultancy; Roche: Consultancy; Jazz Pharmaceuticals: Consultancy; Pfizer: Consultancy, Speakers Bureau; Abbvie: Consultancy; Daichii Sankyo: Consultancy; Incyte: Consultancy; Astellas: Consultancy, Speakers Bureau. Gastaud: PFIZER: Consultancy; CELGENE/BMS: Consultancy; ABBVIE: Consultancy; GSK: Consultancy. Altman: Biosight: Membership on an entity's Board of Directors or advisory committees, Other: reimbursement for travel, Research Funding; ImmunoGen: Research Funding; Kartos Therapeutics: Research Funding; Kura Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Fujifilm: Research Funding; Glycomimetics: Other: data monitoring committee; Loxo: Research Funding; Celgene: Research Funding; Boehringer Ingelheim: Research Funding; Astellas: Honoraria, Research Funding; Aptos: Research Funding; Aprea: Research Funding; Amgen: Research Funding; Abbvie: Honoraria, Research Funding; ALX Oncology Inc.: Research Funding; Syros: Membership on an entity's Board of Directors or advisory committees. de la Fuente: Incyte: Consultancy, Speakers Bureau; Abbie: Consultancy, Speakers Bureau; Novartis: Research Funding; BMS: Consultancy, Speakers Bureau. Gaidano: Incyte: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Curti: Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees. Boissel: PFIZER: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; CELGENE: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding; SANOFI: Honoraria; Servier: Consultancy, Honoraria; Incyte: Honoraria; JAZZ Pharma: Honoraria, Research Funding. Recher: Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Macrogenics: Honoraria, Membership on an entity's Board of Directors or advisory committees; MaatPharma: Research Funding; Jazz: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria; Incyte: Honoraria; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Schliemann: Philogen S.p.A.: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Other: travel grants; Astellas: Consultancy; AstraZeneca: Consultancy; Boehringer-Ingelheim: Research Funding; BMS: Consultancy, Other: travel grants; Jazz Pharmaceuticals: Consultancy, Research Funding; Novartis: Consultancy; Roche: Consultancy; Pfizer: Consultancy. Konopleva: Cellectis: Other: grant support; Calithera: Other: grant support, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria, Other: grant support; Forty Seven: Other: grant support, Research Funding; Agios: Other: grant support, Research Funding; Ablynx: Other: grant support, Research Funding; Genentech: Consultancy, Honoraria, Other: grant support, Research Funding; KisoJi: Research Funding; Ascentage: Other: grant support, Research Funding; Eli Lilly: Patents & Royalties: intellectual property rights, Research Funding; Reata Pharmaceuticals: Current holder of stock options in a privately-held company, Patents & Royalties: intellectual property rights; Novartis: Other: research funding pending, Patents & Royalties: intellectual property rights; AstraZeneca: Other: grant support, Research Funding; Rafael Pharmaceuticals: Other: grant support, Research Funding; Sanofi: Other: grant support, Research Funding; Stemline Therapeutics: Research Funding; AbbVie: Consultancy, Honoraria, Other: Grant Support, Research Funding. Sallman: Takeda: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Aprea: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shattuck Labs: Membership on an entity's Board of Directors or advisory committees; Incyte: Speakers Bureau; Kite: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; Intellia: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Magenta: Consultancy. Marcucci: Novartis: Other: Speaker and advisory scientific board meetings; Agios: Other: Speaker and advisory scientific board meetings; Abbvie: Other: Speaker and advisory scientific board meetings. Kantarjian: KAHR Medical Ltd: Honoraria; Ipsen Pharmaceuticals: Honoraria; Immunogen: Research Funding; Jazz: Research Funding; Ascentage: Research Funding; Novartis: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; NOVA Research: Honoraria; Pfizer: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; BMS: Research Funding; Daiichi-Sankyo: Research Funding; Astra Zeneca: Honoraria; Aptitude Health: Honoraria; Astellas Health: Honoraria; Taiho Pharmaceutical Canada: Honoraria; Precision Biosciences: Honoraria. Malcolm: Immunogen: Current Employment. Zweidler-McKay: ImmunoGen: Current Employment. Sweet: Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; AROG: Membership on an entity's Board of Directors or advisory committees; Bristol Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees.

BACKGROUND: Novel agents added to front-line treatments for adult ALL yield high rates of measurable residual disease (MRD) negativity and survival. However, these approaches are infeasible outside large centers and in lower-resource settings. HyperCVAD is commonly used regardless of Philadelphia chromosome (Ph) status but has limitations, particularly in older patients (pts). Because of its efficacy for high-grade lymphomas (NEJM 2013, p. 1915), we hypothesized that DA-EPOCH would be active and safe in adult ALL. METHODS: Details of this study have been reported (ASH 2018, #1519; NCT03023046). Adults with newly-diagnosed ALL were eligible if not candidates for pediatric-inspired therapy (ie, Ph+, age ≥ 40). DA-EPOCH was given with G-CSF (Blood 2002, p. 2685). After treatment of the 1 st 5 pts, the dose-adjustment paradigm was employed once cytopenias were not due to ALL, typically after cycle 2. If Ph+, imatinib (IM) 600 mg or dasatinib (DAS) 100 mg daily on Days 1-14 of each cycle was added. If CD20+, rituximab 375 mg/m 2 was given once per cycle regardless of Ph status. Up to 8 cycles could be given followed by maintenance (POMP ± TKI) or allogeneic transplant (HCT). Pts with WBC > 30K/µL or LDH > 3x upper limit of normal at diagnosis received 10 doses of intrathecal methotrexate as CNS prophylaxis, and others received 8. Response was determined by bone marrow aspirate morphology (morph), multiparameter flow cytometry (MFC) and (for Ph+) BCR-ABL RT-PCR, with complete molecular response (CMR) assigned when the latter was undetectable. When MRD- by MFC (MFC-) per EuroFlow criteria (Leukemia 2010, p. 521), high-throughput sequencing-based MRD testing (HTS; ClonoSEQ) was performed. IKZF1plus was identified by chromosomal microarray as defined previously (JCO 2018, p. 1240). The primary endpoint was rate of MFC- remission within 4 cycles of therapy. Based on an institutional historical rate of MFC- after ≤ 4 cycles of 50% with hyperCVAD + TKI for Ph+ ALL (Am J Hematol 2018, p. 546), we defined success if we observed such remissions in ≥ 70%. A Simon 2-stage design with α = 0.09 and 80% power led to a sample size of 28 pts and success if ≥ 18 were MFC- after ≤ 4 cycles. For Ph-, we enrolled in cohorts (up to 25 total pts) if the upper bound of a 90% confidence interval (CI) stayed ≥ 59%, our historical rate with hyperCVAD. Follow-up provided to 7/1/21. RESULTS: 53/54 enrolled pts were evaluable. Baseline characteristics are in Table 1 and response rates in Table 2. For Ph+ ALL, 20 of 28 pts (71%; 90% CI = 54-85%) reached MFC- after ≤ 4 cycles; TKI used was DAS for 23 pts and IM for 5 pts. In Ph- ALL, 16 of 25 pts (64%; 90% CI = 46-80%) were MFC- after ≤ 4 cycles. Median follow-up of survivors was 22 months (mo; range: 4-50 mo). Median and 2-yr EFS were 15 mo and 32% (respectively); median OS was not reached, and 2-yr OS was 70% (Figure). In those age > 60 yrs, 2-yr EFS was 49% and OS was 71%. In univariate Cox models, neither WBC, age, adverse-risk cytogenetics, IKZF1plus, nor MFC- after ≤ 4 cycles were significantly associated with EFS or OS; the strongest was high-risk WBC with EFS (hazard ratio 2.1, p = 0.068). In sum, 36 pts reached MFC-: relapse occurred in 12 of 23 pts (52%) given maintenance therapy vs 4 of 12 pts (33%) who received HCT (p = 0.48 by Fisher exact test). Of 18 pts without MRD by HTS, 9 (50%) relapsed. None of the 6 pts given blinatumomab for MRD after DA-EPOCH have relapsed. Four pts (8%) had isolated CNS relapse. 44 pts (83%) developed ≥ 1 Grade (Gr) 3+ non-hematologic (heme) AE related to DA-EPOCH, with a mean of 2 per pt. Those seen in ≥ 10% of pts were febrile neutropenia/infection (23 Gr 3, 2 Gr 4); mucositis (7 Gr 3); and ALT increase (6 Gr 3). There was only 1 treatment-related death (2%; gastric hemorrhage). Twelve pts (23%) discontinued due to acute or cumulative toxicity. As for heme AEs in pts treated after cycle 1 (ie, when ALL was not the cause), only 15 pts (34%) had a Gr 4 platelet count at any time. CONCLUSIONS: DA-EPOCH yields comparable response and survival rates (with manageable toxicity) as more logistically-complex therapies in primarily high-risk ALL. When TKI was added for Ph+ disease, rates of MFC- exceeded the predefined threshold for success. Its efficacy and safety profile make it an appealing backbone to which novel agents may be added. Pending results of ongoing multivariable analyses comparing DA-EPOCH to historical treatments, DA-EPOCH could be considered a standard option, particularly in older adults and/or lower-resource settings. Figure 1 Figure 1. Disclosures Cassaday: Pfizer: Consultancy, Research Funding; Kite/Gilead: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Research Funding; Pepromene Bio: Membership on an entity's Board of Directors or advisory committees; Servier: Research Funding; Merck: Research Funding; Vanda Pharmaceuticals: Research Funding. Percival: Abbvie: Research Funding; Nohla Therapeutics: Research Funding; Cardiff Oncology: Research Funding; Glycomimetics: Research Funding; Biosight: Research Funding; BMS/Celgene: Research Funding; Pfizer: Research Funding; Oscotec: Research Funding; Trillium: Research Funding. Halpern: Gilead: Research Funding; Abbvie: Consultancy; Agios Pharmaceuticals: Research Funding; Tolero Pharmaceuticals: Research Funding; Novartis: Research Funding; Bayer: Research Funding; Imago Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; Agios: Consultancy; Nohla Therapeutics: Research Funding; Pfizer: Research Funding. Becker: Glycomimetics: Research Funding; CVS Caremark: Consultancy; Abbie: Research Funding; BMS: Research Funding; Pfizer: Research Funding; Cardiff Oncology: Research Funding; SecuraBio: Research Funding. Oehler: BMS: Consultancy; OncLive: Honoraria; Takeda: Consultancy; Pfizer: Research Funding. Shustov: Seagen Inc.: Research Funding. Orozco: Actinium Pharmaceuticals, Inc.: Other: site PI for clinical trial(s) sponsored by Actinium, Research Funding. Walter: BMS: Consultancy; Astellas: Consultancy; Agios: Consultancy; Amphivena: Consultancy, Other: ownership interests; Selvita: Research Funding; Pfizer: Consultancy, Research Funding; Jazz: Research Funding; Macrogenics: Consultancy, Research Funding; Immunogen: Research Funding; Celgene: Consultancy, Research Funding; Genentech: Consultancy; Janssen: Consultancy; Kite: Consultancy; Aptevo: Consultancy, Research Funding; Amgen: Research Funding. Radich: Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: Rituximab is not FDA approved for the treatment of acute lymphoblastic leukemia.

Introduction Infections cause substantial morbidity and mortality in patients with acute myeloid leukemia (AML) and other high-grade myeloid neoplasms. The contemporary regimen of CLAG-M (cladribine, high-dose cytarabine, G-CSF, mitoxantrone) has favorable hematologic outcomes compared to '7+3' (standard-dose cytarabine, anthracycline) in some studies but may be more myelosuppressive. The aim of this investigation was to determine and compare the incidence and spectrum of infections after CLAG-M and 7+3. Methods For this retrospective cohort study, we identified microbiologically documented moderate to severe infections (grade ≥2 infections; Blood and Marrow Transplant Clinical Trials Network Technical Manual of Procedures (BMT CTN MOP) guideline) after the first cycle of CLAG-M for newly-diagnosed (ND) or relapsed/refractory (R/R) AML or other high-grade myeloid neoplasms (≥10% blasts in marrow or peripheral blood) and compared these findings to adults receiving 7+3 for ND disease. We recorded infections for up to 90 days from the start of chemotherapy or until the start of a second cycle or death, whichever occurred first. We compared the cumulative incidence probability of time-to-first infection between cohorts using Gray's test with start of additional therapy and death as competing risk events. Infection rates, defined as average number of infections per 1000 patient days-at-risk, were compared between cohorts using Poisson regression. Results The study included 442 individuals consisting of 196 with ND disease and 131 with R/R disease receiving CLAG-M, and 115 with ND disease receiving 7+3 (Table 1). Fifty-four (28%), 65 (50%), and 19 (17%) individuals per cohort had one or more moderate to severe microbiologically documented infection, respectively. The absolute neutrophil count was Conclusions Moderate to severe microbiologically documented infections are common after the first cycle of chemotherapy for ND or R/R AML or other high-grade myeloid neoplasms. CLAG-M may be associated with more moderate to severe microbiologically documented infections than 7+3 for ND disease. Individuals with R/R disease are at the highest risk. Invasive fungal infections were relatively frequent but may be significantly reduced by mold-active azole prophylaxis. New approaches to improve neutrophil recovery and function may reduce infection risk. Figure 1 Figure 1. Disclosures Halpern: Abbvie: Consultancy; Tolero Pharmaceuticals: Research Funding; Agios: Consultancy; Gilead: Research Funding; Agios Pharmaceuticals: Research Funding; Bayer: Research Funding; Novartis: Research Funding; Imago Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; Nohla Therapeutics: Research Funding; Pfizer: Research Funding. Delaney: Deverra Therapeutics: Current Employment, Other: Founder, CSO. Pergam: Chimerix, Inc: Research Funding; Global Life Technologies, Inc: Research Funding; Merck & Co.: Research Funding; Sanofi Aventis: Research Funding. Boeckh: Merck: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; AlloVir: Consultancy; SymBio Pharmaceuticals: Consultancy; Helocyte: Consultancy; Evrys Bio: Consultancy; Moderna: Consultancy; GSK: Consultancy. Walter: BMS: Consultancy; Astellas: Consultancy; Agios: Consultancy; Amphivena: Consultancy, Other: ownership interests; Selvita: Research Funding; Pfizer: Consultancy, Research Funding; Jazz: Research Funding; Macrogenics: Consultancy, Research Funding; Immunogen: Research Funding; Celgene: Consultancy, Research Funding; Genentech: Consultancy; Janssen: Consultancy; Kite: Consultancy; Aptevo: Consultancy, Research Funding; Amgen: Research Funding. Hill: Gilead: Consultancy, Research Funding; Karius: Research Funding; Octapharma: Consultancy; Allovir: Consultancy, Research Funding; Amplyx: Consultancy; Takeda: Consultancy, Research Funding; Allogene therapeutics: Consultancy; CRISPR therapeutics: Consultancy; CLS Behring: Consultancy; OptumHealth: Consultancy.

CD33 is variably expressed on leukemia blasts in almost all patients with acute myeloid leukemia (AML) and possibly leukemia stem cells in some. Efforts to target CD33 therapeutically have focused on gemtuzumab ozogamicin (GO; Mylotarg), an antibody-drug conjugate delivering a DNA-damaging calicheamicin derivative. GO is most effective in acute promyelocytic leukemia but induces remissions in other AML types and received accelerated approval in the US in 2000. However, because a large follow-up study showed no survival improvement and increased early deaths the drug manufacturer voluntarily withdrew the US New Drug Application in 2010. More recently, a meta-analysis of data from several trials reported better survival in adults with favorable- and intermediate-risk cytogenetics but not adverse-risk AML randomized to receive GO along with intensive induction chemotherapy. As a result, GO is being re-evaluated by regulatory agencies. Responses to GO are diverse and predictive biological response markers are needed. Besides cytogenetic risk, ATP-binding cassette transporter activity and possibly CD33 display on AML blasts may predict response, but established clinical assays and prospective validation are lacking. Single-nucleotide polymorphisms in CD33 may also be predictive, most notably rs12459419 where the minor T-allele leads to decreased display of full-length CD33 and preferential translation of a splice variant not recognized by GO. Data from retrospective analyses suggest only patients with the rs12459419 CC genotype may benefit from GO therapy but confirmation is needed. Most important may be markers for AML cell sensitivity to calicheamicin, which varies over 100 000-fold, but useful assays are unavailable. Novel CD33-targeted drugs may overcome some of GO's limitations but it is currently unknown whether such drugs will be more effective in patients benefitting from GO and/or improve outcomes in patients not benefitting from GO, and what the supportive care requirements will be to enable their safe use.

DNA methyltransferase inhibitors sensitize leukemia cells to chemotherapeutics. We therefore conducted a phase 1/2 study of mitoxantrone, etoposide and cytarabine following 'priming' with 5-10 days of decitabine (dec/MEC) in 52 adults (median age 55 (range: 19-72) years) with relapsed/refractory acute myeloid leukemia (AML) or other high-grade myeloid neoplasms. During dose escalation in cohorts of 6-12 patients, all dose levels were well tolerated. As response rates appeared similar with 7 and 10 days of decitabine, a 7-day course was defined as the recommended phase 2 dose (RP2D). Among 46 patients treated at/above the RP2D, 10 (22%) achieved a complete remission (CR), 8 without measurable residual disease; five additional patients achieved CR with incomplete platelet recovery, for an overall response rate of 33%. Seven patients (15%) died within 28 days of treatment initiation. Infection/neutropenic fever, nausea and mucositis were the most common adverse events. While the CR rate compared favorably to a matched historic control population (observed/expected CR ratio=1.77), CR rate and survival were similar to two contemporary salvage regimens used at our institution (G-CLAC (granulocyte colony-stimulating factor (G-CSF); clofarabine; cytarabine) and G-CLAM (G-CSF; cladribine; cytarabine; mitoxantrone)). Thus, while meeting the prespecified efficacy goal, we found no evidence that dec/MEC is substantially better than other cytarabine-based regimens currently used for relapsed/refractory AML.

Minimal residual disease prior to allogeneic hematopoietic cell transplantation has been associated with increased risk of relapse and death in patients with acute myeloid leukemia, but detection methodologies and results vary widely. We performed a systematic review and meta-analysis evaluating the prognostic role of minimal residual disease detected by polymerase chain reaction or multiparametric flow cytometry before transplant. We identified 19 articles published between January 2005 and June 2016 and extracted hazard ratios for leukemia-free survival, overall survival, and cumulative incidences of relapse and non-relapse mortality. Pre-transplant minimal residual disease was associated with worse leukemia-free survival (hazard ratio=2.76 [1.90-4.00]), overall survival (hazard ratio=2.36 [1.73-3.22]), and cumulative incidence of relapse (hazard ratio=3.65 [2.53-5.27]), but not non-relapse mortality (hazard ratio=1.12 [0.81-1.55]). These associations held regardless of detection method, conditioning intensity, and patient age. Adverse cytogenetics was not an independent risk factor for death or relapse. There was more heterogeneity among studies using flow cytometry-based than WT1 polymerase chain reaction-based detection (I2=75.1% vs.

Introduction: Somatic TP53 mutations and deletions of 17p, to which TP53 is mapped, (TP53mut) occur in 8-10% of de novo Acute myeloid leukemia (AML) and in up to 37-46% of patients (pts) with adverse-risk cytogenetics and treatment-related myeloid neoplasms and confer a poor prognosis. In addition to its well-characterized function as a tumor suppressor, emerging evidence implicates mutant TP53 in activating genes involved in immune response and inflammation such as chemokines, cytokines and extracellular matrix modulators. An analysis of The Cancer Genome Atlas (TCGA) transcriptomic data showed that TP53 mutations, in 30 diverse cancer types, correlated with increased leukocyte infiltration into tumors with higher proportions of PD-L1-expressing CD8+ T cells and increased expression of T-cell effector genes and interferon (IFN)-γ-related genes. We recently characterized tumor microenvironmental (TME) immune gene sets that capture elements of both type I- and IFN-γ-driven biology and stratify AML into immune-infiltrated and immune-depleted subtypes. Our immune classifier predicted survival in patients receiving cytarabine-based induction and immunotherapy with flotetuzumab (FLZ), an investigational CD123×CD3 bispecific DART® molecule. We hypothesized that TP53-mutated AML represents immune-infiltrated AML that would be particularly responsive to FLZ. Methods: Fifteen TP53mut AML pts have been treated with FLZ on clinical trial CP-MGD006-01 (NCT#02152956). Disease status was assessed by modified International Working Group (IWG) criteria. Specifically, overall response rate (ORR), collectively complete response, defined as 50% decrease or decrease to 5-25% BM blasts. Microenvironmental RNAs were profiled using the PanCancer IO 360™ gene expression panel on the nCounter® platform. Baseline formalin-fixed paraffin embedded BM samples were evaluated for PD-L1, FoxP3, CD8 and CD3 expression by immunohistochemistry (IHC). Slides were stained using a Leica BondRx autostainer. Fluorescence was imaged using a Polaris Vectra 3 and analyzed using inForm software. A density-based clustering algorithm developed and run in QuPath was used to quantify T-cell 'hotspots". Results: Baseline (BL) BM samples for immune gene expression profiling were available in 13 pts with TP53mut (median age 61yrs [range 27-81]; 46.7% [7] pts female); among these, 77% (10/13) had high or intermediate immune infiltration in the TME compared with pts with 33% (10/30) TP53-WT AML (pt characteristics in the TP53-WT AML cohort were balanced) (Fig. 1A). IHC analysis confirmed high CD8+ T-cell, regulatory T cell (Treg) and PD-L1+ cell infiltration in TP53mut BL BM samples (Fig. 1B). ORR was 60% (9/15), with 47% (7/15) achieving complete response. In the TP53mut subgroup, the reduction of BM blasts relative to baseline averaged 51.2% (Fig. 1C). Time on treatment and time to death and/or censoring are summarized in Fig. 1D, including three pts who proceeded to receive allogeneic hematopoietic stem cell transplantation (HSCT). In pts who achieved a complete remission (CR, CRi), median OS was 10.3 months. Furthermore, the tumor inflammation signature (TIS), inflammatory chemokine, Treg and IFN-γ gene expression scores were significantly higher at baseline in pts with complete remission compared with non-responders (Fig. 1E), highlighting the association between response to T-cell engagers and a T cell-infiltrated TME. Conclusion: TP53 mutated AML is associated with immune infiltration in the TME and FLZ immunotherapy demonstrated activity in pts with TP53 alterations. This suggests that FLZ immunotherapy may alleviate the negative prognostic immunological impact of TP53 mutation. Figure 1 Disclosures Lai: Abbvie: Consultancy; Agios: Consultancy; Macrogenics: Consultancy; Astellas: Speakers Bureau; Jazz: Speakers Bureau. Church:NanoString Technologies, Inc.: Current Employment. Advani:Novartis: Consultancy, Other: advisory board; Abbvie: Research Funding; Pfizer: Honoraria, Research Funding; Kite: Other: Advisory board/ honoraria; Amgen: Consultancy, Other: steering committee/ honoraria, Research Funding; Seattle Genetics: Other: Advisory board/ honoraria, Research Funding; Immunogen: Research Funding; Glycomimetics: Consultancy, Other: Steering committee/ honoraria, Research Funding; Macrogenics: Research Funding; OBI: Research Funding; Takeda: Research Funding. Wieduwilt:Macrogeneics: Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Shire: Research Funding; Merck: Research Funding; Leadiant: Research Funding; Amgen: Research Funding. Arellano:Hanmi: Research Funding; Cephalon Oncology: Research Funding; Gilead Sciences, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees. Uy:Pfizer: Consultancy; Agios: Consultancy; Genentech: Consultancy; Jazz Pharmaceuticals: Consultancy; Daiichi Sankyo: Consultancy; Astellas Pharma: Honoraria. Ravandi:Macrogenics: Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Orsenix: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria. Foster:Bellicum Pharmaceuticals: Research Funding; Daiichi Sankyo: Consultancy; Macrogenics: Consultancy, Research Funding. Stiff:Atara: Research Funding; Delta-Fly: Research Funding; Kite, a Gilead Company: Research Funding; Amgen: Research Funding; Unum: Research Funding; Gamida Cell: Research Funding; Macrogenics: Research Funding. Emadi:NewLink Genetics: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; KinaRx: Other: co-founder and scientific advisor; Jazz Pharmaceuticals: Research Funding. Walter:Aptevo Therapeutics: Research Funding. Tran:MacroGenics: Current Employment. Kaminker:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Muth:MacroGenics, Inc.: Current Employment, Current equity holder in publicly-traded company. Guo:Macrogenics: Current Employment. Gojo:Genentech: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Amphivena: Research Funding; Amgen: Research Funding; Merck: Research Funding. DiPersio:Magenta Therapeutics: Membership on an entity's Board of Directors or advisory committees. Davidson-Moncada:Macrogenics: Current Employment. Rutella:MacroGenics, Inc.: Research Funding; NanoString Technologies, Inc.: Research Funding; Kura Oncology: Research Funding.

Context Prolonged hospitalizations for AML patients impair quality of life and drive leukemia care costs. Febrile neutropenia (FN) is the most common reason for re-hospitalization in AML as current algorithms call for rapid administration of IV antimicrobials and close monitoring. Whether this approach is justified in all situations is unclear given availability of novel oral broad-spectrum antimicrobials and home drug infusion services. While FN risk models have been developed focusing on solid tumors, factors predicting uncomplicated courses of FN in AML patients, which might allow the identification of patients suitable for outpatient management, have not been studied. Objective To identify factors to that define a low-risk population of AML patients admitted for FN. Methods We retrospectively reviewed medical records for adults admitted for FN (temperature ≥38.3°C and absolute neutrophil count 1 admission) assessed covariate associations with discharge. Results We identified 250 FN admissions in 129 AML patients from 7/29/14–6/26/19. Thirty-three (13%) admissions were Conclusions Only 13% of AML admissions for FN were short and uncomplicated. Factors that predicted more severe outcomes in solid malignancies did not individually predict such outcomes for AML patients; however, a model of combined risk factors resulted in a moderate-high predictive ability for a “low-risk” admission. Funding This work was made possible by generous support from the James Chung Yam Lee Pilot Award.

Aim: Acute myeloid leukemia (AML) is an aggressive hematopoietic clonal disorder characterized by the increased blasts and poor survival outcome, which is mainly driven by cytogenetic and molecular abnormalities. Here, we investigated the prognostic impact of other demographic parameters on the survival outcomes in AML patients. Method: We reviewed the Surveillance, Epidemiology, and End Result (SEER) database to collect demographic information, including age, diagnosis, gender, race, and geographic region in patients with non-acute promyelocytic leukemia AML, between 2004–2008. The primary end-point of our study was 3-year overall survival (OS), which was estimated by the Kaplan–Meier method and Cox regression model. Results: A total of 13,282 patients were included in our analyses. Increasing age (HR 1.2, p

Introduction/Background The ovarian cancer represents the seventh most common cancer in women worldwide. An elevated serum CA 125 level in association with a pelvic mass, pleural effusion, and massive ascites usually signifies a dismal prognosis in a postmenopausal woman. Meigs’ syndrome consists of a benign ovarian tumor accompanied by ascites and pleural effusion. Methodology Surgery and histopathological examination are required for the correct diagnosis and treatment. The patient underwent a laparotomy with bilateral salpingo-oophorectomy. All cases of Meigs’ syndrome with elevated CA 125 that have been reported were included at this review. Results Meigs’ syndrome with marked elevated CA 125 is a rare clinical entity and only 47 cases have been reported. An elevated CA 125 level can be falsely positive for ovarian malignancy because the quantity of ascites might be correlated with a rise in the level of CA 125. Conclusion Postmenopausal women with a pelvic mass, pleural effusion, ascites and elevated serum CA 125 levels probably suffer from malignant ovarian tumors. However, it is important to remember that these findings does not always predict a lethal condition, but a benign adnexal lesion as part of Meigs’ syndrome, should be also considered as an unusual but existing diagnostic possibility. Disclosure Nothing to disclose.