Citations

Abstract INTRODUCTION: Luxeptinib (CG-806) is a potent, non-covalent oral inhibitor of BTK and FLT3. It suppresses BCR signaling pathways (LYN, SYK, BTK, AKT, ERK) and other oncogenic pathways in cell lines and primary CLL cells, kills malignant B-cells insensitive to ibrutinib or venetoclax at low nM concentrations, and shows enhanced activity in combination with venetoclax. Luxeptinib is currently being evaluated in a Phase 1a/b trial in patients with relapsed or refractory B-cell malignancies (NCT03893682). AIMS: Primary objectives are to assess the safety and tolerability of luxeptinib and determine the recommended expansion dose for future clinical trials in patients with R/R CLL/SLL or B-NHL. Key secondary objectives include elucidation of the pharmacokinetic (PK) and pharmacodynamic (PD) characteristics, and evidence of antitumor activity. METHODS: Luxeptinib is administered continuously as oral capsules BID in 28-day cycles, in ascending cohorts of 3 patients. Treatment emergent adverse events (TEAEs) and tumor responses are evaluated per disease specific guidelines. RESULTS: As of June 7, 2021, a total of 23 patients (median age 64.0 years, 11 CLL/SLL, 4 follicular lymphoma (FL), 1 Richter's transformation lymphoma, 2 Waldenstrom's macroglobulinemia (WM), 2 mantle cell lymphoma, 3 diffuse large B cell lymphoma (DLBCL)) with a median of 3 prior systemic regimens (range of 1 - 12) have been treated with luxeptinib at doses of 150 mg (n=1), 300 mg (n=1), 450 mg (n=9), 600 mg (n=4) and 750 mg (n=8). Drug related grade ≥ 3 TEAEs included neutropenia (n=5, 21.7%), leukocytosis (n=2, 8.7%), decreased white blood cell count, decreased platelet count, anemia, increased alanine aminotransferase, diarrhea, hypertension, and headache (n=1, 4.3 % each). One patient, who experienced progressive hypertension before receiving luxeptinib, developed grade 1 hypertension during screening evolving to grade 2 prior to dosing on C1D1, experienced grade 4 hypertension after luxeptinib treatment at 750 mg BID for 5 days. While this was considered a DLT per protocol, luxeptinib plasma levels in this patient were lower than those observed in patients at this and lower dose levels, and no drug-related hypertension has been observed in any other patient treated to date. The average steady-state (C min) plasma levels of luxeptinib in patients treated with 750 mg BID were > 1µM and were sustained over multiple cycles. PD analysis demonstrated that C min of luxeptinib in the plasma of patients treated with doses of 300 mg or higher significantly reduced levels of phosphorylated BTK, SYK, ERK and FLT3 in EOL-1 reporter cells in a plasma inhibitor activity assay, demonstrating multi-target engagement. Response evaluations were available for 12 patients who had at least one imaging study or IgM measurements (WM patients) after starting treatment. Eight out of these 12 patients had various reductions of lesion size or IgM measurements compared to baseline (3 SLL, 2 FL, 1 CLL, 1 WM and 1 DLBCL), demonstrating anti-tumor activity. FDG PET-CT scans in one FL patient, who had 2 prior regimens, revealed lesion growth during treatment with luxeptinib at 450 mg BID for 7 cycles. After dose-escalation to 600 mg BID in Cycle 8, lesion measurements demonstrated continuous reduction. By C15D1, target lesions decreased by 42.5% and 11.3% when compared with peak tumor size and baseline measurements, respectively. One WM patient in Cohort 5 (750 mg BID), who had 2 prior regimens including ibrutinib, has had a 24.9% reduction in IgM level by C3D1 compared with baseline as her best response so far. CONCLUSIONS: Luxeptinib has a favorable safety profile in patients treated with 150 mg to 600 mg BID over multiple cycles. A single apparent DLT (grade 4 hypertension in one patient with pre-existing hypertension) led to expansion of the 750 mg dose level to 6 patients. Pharmacodynamic studies documented inhibition of SYK, BTK and ERK in the BCR signaling pathway. Anti-tumor activity was observed in multiple B-NHL subtypes and CLL/SLL patients. Enrollment of patients with R/R CLL/SLL and B-NHL at dose level 5 (750 mg) is ongoing and updated clinical data will be presented at the meeting. Disclosures Samaniego: Arog: Research Funding; Imbrium: Membership on an entity's Board of Directors or advisory committees. Burke: AstraZeneca: Consultancy; Verastem: Consultancy; Bristol Myers Squibb: Consultancy; Epizyme: Consultancy; Kura: Consultancy; Kymera: Consultancy; SeaGen: Consultancy, Speakers Bureau; X4 Pharmaceuticals: Consultancy; Adaptive Biotechnologies: Consultancy; Beigene: Consultancy, Speakers Bureau; AbbVie: Consultancy; MorphoSys: Consultancy; Roche/Genentech: Consultancy. Mahadevan: caris: Speakers Bureau; Guardanthealt: Speakers Bureau; PFIZER: Other: Clinical trial Adverse events committee; TG Therapeuticals: Other: Clinical trial Adverse events committee. Cherry: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Sadiq: Dava Oncology: Honoraria. Reid: ADC Therapeutics: Other: Serves as Principle Investigator, Research Funding; Aptose Biosciences: Other: Serves as Principle Investigator, Research Funding; Millennium Pharmaceuticals: Other: Serves as Principle Investigator, Research Funding; Xencor: Other: Serves as Principle Investigator, Research Funding. Roeker: TG Therapeutics: Consultancy; Pfizer: Consultancy, Research Funding; AbbVie, AstraZeneca, Janssen, LOXO, Pharmacyclics, TG Therapeutics, Vaniam Group, Verastem: Consultancy; Loxo Oncology: Consultancy; Abbot Laboratories: Current equity holder in publicly-traded company; Pharmacyclics: Consultancy. Melear: Astrazeneca: Speakers Bureau; TG Therapeutics: Speakers Bureau; Janssen: Speakers Bureau. Zhang: Aptose Biosciences, Inc.: Current Employment. Rastgoo: Aptose Biosciences, Inc.: Current Employment. Benbatoul: Aptose Biosciences, Inc.: Current Employment. Haney: Aptose Biosciences, Inc.: Current Employment. Jin: Aptose Biosciences, Inc.: Current Employment. Marango: Aptose Biosciences, Inc.: Current Employment, Current equity holder in publicly-traded company. Howell: Aptose Biosciences, Inc.: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Research Funding. Rice: Oncolytics Biotech Inc.: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Aptose Biosciences, Inc.: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties. Bejar: Astex: Consultancy; Silence Therapeutics: Consultancy; Aptose Biosciences, Inc.: Current Employment, Current equity holder in publicly-traded company; Epizyme: Consultancy, Honoraria; Takeda: Research Funding; Gilead: Consultancy, Honoraria; BMS: Consultancy, Research Funding.

Abstract Introduction/Objective The first human case of SARS-CoV-2 infection was reported in December of 2019. By late February 2020 evidence of community transmission in the United States was documented and soon it developed into a global pandemic. On March 11, 2020, the Mayo Clinic Arizona’s Microbiology Laboratory introduced a PCR test for diagnosis of SARS-CoV-2 infection. Even as testing demands exponentially increased, the hospital relied on timely results to assist in directing patient care. In order to provide timely results in the face of continuously emerging supply chain threats, we needed to increase our capacity for SARS-CoV-2 PCR testing by reducing technologist time and reagent waste, without impacting turnaround time or other quality metrics such as repeat rate. Methods/Case Report Technologist time was measured in hands-on time per specimen. Reagent use was defined by the volume of lysis buffer (the primary rate limiting reagent due to supply chain constraints) used per sample. Turnaround time was measured from receipt in lab until result verification and the rerun rate is the percent of specimens with an internal control (IC) failure, an indicator of specimen or process quality. Unnecessary steps were determined using a process map, spaghetti diagram and waste walk. Improvements included simplifying steps, changes to protocols and lab design. Impacts of the improvements were measured for 5 months post-implementation. Results (if a Case Study enter NA) Process improvements reduced technologist time per sample by 30.8 seconds and decreased critical reagent needs by 23.6%. Improvements led to $104,000 in just reagent savings over 5 months. Turnaround time and rerun rates were not negatively impacted. Conclusion By creating the leanest possible workflow, we were able to meet the demands for accurate and timely SARS-CoV-2 results. In future workflows, we will continue to implement lean processes and ensure the most efficient use of limited resources.

Significance Repression of the large number of transposable elements in eukaryotic genomes is essential for genome stability. The Piwi-interacting RNA and short interfering RNA pathways are critical for repressing transposable elements in germlines, but the repression of transposable elements in somatic tissues involves other components. While the mammalian Hinfp has been shown to regulate Histone4 and cell-cycle progression, our manuscript provides evidence that a function of the Drosophila Hinfp is to maintain Histone1 expression to repress most transposable elements in somatic genomes. This Hinfp–Histone1 axis provides a venue to study maintenance of genome stability and progression of pathological outcomes.

Objective: The aim of this study was to analyze outcomes of open lobectomy (OL), VATS, and robotic-assisted lobectomy (RL). Summary Background Data: Robotic-assisted lobectomy has seen increasing adoption for treatment of early-stage lung cancer. Comparative data regarding these approaches is largely from single-institution case series or administrative datasets. Methods: Retrospective data was collected from 21 institutions from 2013 to 2019. All consecutive cases performed for clinical stage IA-IIIA lung cancer were included. Neoadjuvant cases were excluded. Propensity-score matching (1:1) was based on age, sex, race, smoking-status, FEV1%, Zubrod score, American Society of Anesthesiologists score, tumor size, and clinical T and N stage. Results: A total of 2391 RL, 2174 VATS, and 1156 OL cases were included. After propensity-score matching there were 885 pairs of RL vs OL, 1,711 pairs of RL vs VATS, and 952 pairs of VATS vs OL. Operative time for RL was shorter than VATS (P < 0.0001) and OL (P = 0.0004). Compared to OL, RL and VATS had less overall postoperative complications, shorter hospital stay (LOS), and lower transfusion rates (all P<0.02). Compared to VATS, RL had lower conversion rate (P<0.0001), shorter hospital stay (P<0.0001) and a lower postoperative transfusion rate (P =0.01). RL and VATS cohorts had comparable postoperative complication rates. In-hospital mortality was comparable between all groups. Conclusions: RL and VATS approaches were associated with favorable perioperative outcomes compared to OL. Robotic-assisted lobectomy was also associated with a reduced length of stay and decreased conversion rate when compared to VATS.

Background We aimed to provide personalized risk estimates for cardiac events (CEs) and life‐threatening events in women with either type 1 or type 2 long QT. Methods and Results The prognostic model was derived from the Rochester Long QT Syndrome Registry, comprising 767 women with type 1 long QT (n=404) and type 2 long QT (n=363) from age 15 through 60 years. The risk prediction model included the following variables: genotype/mutation location, QTc‐specific thresholds, history of syncope, and β‐blocker therapy. A model was developed with the end point of CEs (syncope, aborted cardiac arrest, or long QT syndrome–related sudden cardiac death), and was applied with the end point of life‐threatening events (aborted cardiac arrest, sudden cardiac death, or appropriate defibrillator shocks). External validation was performed with data from the Mayo Clinic Genetic Heart Rhythm Clinic (N=467; type 1 long QT [n=286] and type 2 long QT [n=181]). The cumulative follow‐up duration among the 767 enrolled women was 22 243 patient‐years, during which 323 patients (42%) experienced ≥1 CE. Based on genotype‐phenotype data, we identified 3 risk groups with 10‐year projected rates of CEs ranging from 15%, 29%, to 51%. The corresponding 10‐year projected rates of life‐threatening events were 2%, 5%, and 14%. C statistics for the prediction model for the 2 respective end points were 0.68 (95% CI 0.65–0.71) and 0.71 (95% CI 0.66–0.76). Corresponding C statistics for the model in the external validation Mayo Clinic cohort were 0.65 (95% CI 0.60–0.70) and 0.77 (95% CI 0.70–0.84). Conclusions This is the first risk prediction model that provides absolute risk estimates for CEs and life‐threatening events in women with type 1 or type 2 long QT based on personalized genotype‐phenotype data. The projected risk estimates can be used to guide female‐specific management in long QT syndrome.

Introduction: Recent reports have linked visit-to-visit blood pressure (BP) variability to risk of mortality and stroke, independent of the effect of mean BP level. We sought to confirm these findings in the Cardiovascular Health Study (CHS), a cohort study of cardiovascular risk factors. Hypothesis: Variability in visit-to-visit SBP, defined as intraindividual SBP SD, is directly associated with risk of mortality, myocardial infarction (MI), and stroke, independent of intraindividual SBP mean and trend over time. Methods: Participants from CHS were eligible if they attended their first five annual clinic visits and did not have stroke, MI, or death by the 5th visit (N=3513). Follow-up started at the 5th visit and extended through June 2008. Analyses were further restricted to subjects who used no antihypertensive medications during the entire 5-year baseline period (non-users, n=1570) and subjects who used the same antihypertensive regimen during that time (users, n=978). Intraindividual SBP variables were defined using each subject’s 5-visit BPs. Cox proportional hazards models estimated adjusted hazard ratios (HR) per standard deviation (SD) increase in intraindividual SD (iSD) SBP or intraindividual mean (iMean) SBP. Results were stratified on medication use or non-use. Results: Participants’ mean age was 71 years, 42% were men, and 95% were white. Mean(SD) of iSD SBP was 9.8(4.6) mmHg for anti-hypertensive medications non-users and 12.0(6.0) mmHg for users. iMean SBP was significantly associated with all 3 outcomes among non-users and with stroke among users (table). iSD SBP was significantly associated with mortality in all participants and with MI among non-users; associations for stroke were not significant. Conclusion: Long-term visit-to-visit SBP variability may be an important determinant of MI and mortality risk in the elderly. Results for stroke are not consistent with other, previous reports. More research is needed to determine the clinical implications.

Background: Patients with chronic kidney disease are at increased risk for cardiovascular morbidity and mortality. We assessed the association between albuminuria and death or cardiovascular events among patients with stable coronary disease. Methods: We studied patients enrolled in the Prevention of Events with an ACE Inhibitor (PEACE) trial, in which patients with chronic stable coronary disease and preserved systolic function were randomized to trandolapril or placebo and followed for a median of 4.8 years. The urinary albumin to creatinine ratio (ACR) assessed in a core laboratory in 2977 patients at baseline and in 1339 patients at follow-up (mean 34 months) was related to estimated glomerular filtration rate (eGFR) and outcomes. Results: The majority of patients (73%) had a baseline albumin/creatinine ratio within the normal range. Independent of the eGFR and other baseline covariates, a higher albumin/creatinine ratio even within the normal range was associated with increased risks for all-cause mortality (p < 0.001) and cardiovascular death (p = 0.01). The effect of trandolapril therapy on outcomes was not significantly modified by the level of albuminuria. Nevertheless, trandolapril therapy was associated with a significantly lower mean follow-up ACR (12.5 ug/mg vs 14.6 ug/mg, p = 0.0002), after adjusting for baseline ACR, time between collections and other covariates. An increase in ACR over time was associated with increased risk of cardiovascular death (HR per log ACR 1.74, 95% confidence intervals 1.08–2.82). Conclusions: Albuminuria, even in low levels within the normal range, is an independent predictor of cardiovascular and all-cause mortality.

Background: The Trans-Omics for Precision Medicine (TOPMed) program is performing whole-genome sequencing across multiple studies, including longitudinal cohorts, case-control, and case-only sample sets. Detecting the effects of low frequency variants requires large sample sizes, which can only be achieved by combining data across diverse study designs, including matching of case-only sample sets with controls from other studies. Here we present a strategy for combined analysis of venous thromboembolism (VTE) case status in 3 longitudinal cohorts and 3 case-only sample sets, in the context of whole-genome association studies. Methods: For each cohort study, we sampled ‘pure’ controls (without replacement) from the risk set of each incident case, within strata defined by sex, ancestry and birth-cohort. Pure controls had no event throughout their period of observation. A case’s risk set was defined as controls with no prior VTE history and under observation through an age at least as old as the case. For case-only sample sets, controls for each case were sampled from a cohort study, using the same risk set definition. Because of limited overlap in birth years between the cohort studies and the case-only sample sets, this matching was done within strata defined only by sex and ancestry group. Mixed model logistic regression will be used to account for relatedness as a random effect. Although conditional logistic regression is not practical for whole-genome association studies, case-control matching is implicitly recognized by a fixed effect for age-at-event for each matched set (1 case and >=1 matched controls). Additional fixed effects will include sample set and sex. We will also adjust for variations in case-control ratio among the matched sets. Results: In two cohort studies, we matched 1,231 cases to 4,820 controls (overall ratio = 1:3.9); only 500 controls and 5 cases could not be matched. For the case-only sample sets we matched 2,141 cases to 2,780 controls from one cohort study (overall ratio = 1:1.3); zero controls and only 14 cases could not be matched. Conclusions: We were successfully able to match nearly all cases to controls, and more than 90% of controls were also matched. By matching controls to cases based on age at event, we can account for the different risk of VTE by age clusters. Although this strategy does not provide an asymptotically unbiased estimated of the hazard ratio, compared to classical risk set sampling, it uses a large portion of the available data, it provides odds ratio estimates yielding the correct sign of association, and it reduces the potential influence of resampling subjects with rare variants. This strategy also enables combined analysis of multiple studies with different designs.