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BackgroundHeavy alcohol consumption disrupts gut epithelial integrity, leading to increased permeability of the gastrointestinal tract and subsequent translocation of microbes. Regenerating islet‐derived protein 3α (REG3α) and Trefoil factor 3 (TFF3) are mainly secreted to the gut lumen by Paneth and Goblet cells, respectively, and are functionally linked to gut barrier integrity. Circulating levels of REG3α and TFF3 have been identified as biomarkers for gut damage in several human diseases. We examined whether plasma levels of REG3α and TFF3 were dysregulated and correlated with conventional markers of microbial translocation (MT) and pro‐inflammatory mediators in heavy drinkers with and without alcoholic hepatitis (AH).MethodsCross‐sectional and longitudinal studies were performed to monitor plasma levels of REG3α and TFF3 in 79 AH patients, 66 heavy drinkers without liver disease (HDC), and 46 healthy controls (HC) at enrollment and at 6‐ and 12‐month follow‐ups. Spearman correlation was used to measure the relationships of REG3α and TFF3 levels with MT, disease severity, inflammation, and effects of abstinence from alcohol.ResultsAt enrollment, AH patients had significantly higher levels of REG3α and TFF3 than HDC and HC. The elevated REG3α levels were positively correlated with the 30‐day fatality rate. Plasma levels of REG3α and TFF3 in AH patients differentially correlated with conventional MT markers (sCD14, sCD163, and LBP) and several highly up‐regulated inflammatory cytokines/chemokines/growth factors. At follow‐ups, although REG3α and TFF3 levels were decreased in AH patients with alcohol abstinence, they did not fully return to baseline levels.ConclusionsCirculating levels of REG3α and TFF3 were highly elevated in AH patients and differentially correlated with AH disease severity, MT, and inflammation, thereby serving as potential biomarkers of MT and gut epithelial damage in AH patients.

In the SPRINT (Systolic Blood Pressure Intervention Trial), the number of strokes did not differ significantly by treatment group. However, stroke subtypes have heterogeneous causes that could respond differently to intensive blood pressure control. SPRINT participants (N=9361) were randomized to target systolic blood pressures of <120 mm Hg (intensive treatment) compared with <140 mm Hg (standard treatment). We compared incident hemorrhage, cardiac embolism, large- and small-vessel infarctions across treatment arms. Participants randomized to the intensive arm had mean systolic blood pressures of 121.4 mm Hg in the intensive arm (N=4678) and 136.2 mm Hg in the standard arm (N=4683) at one year. Sixty-nine strokes occurred in the intensive arm and 78 in the standard arm when SPRINT was stopped. The breakdown of stroke subtypes across treatment arms included hemorrhagic (intensive treatment, n=6, standard treatment, n=7) and ischemic stroke subtypes (large artery atherosclerosis: intensive treatment n=11, standard treatment, n=13; cardiac embolism: intensive treatment n=11, standard treatment n=15; small artery occlusion: intensive treatment n=8, standard treatment n=8; other ischemic stroke: intensive treatment n=3, standard treatment n=1). Fewer strokes occurred among participants without prior cardiovascular disease in the intensive (n=43) than the standard arm (n=61), but the difference did not reach predefined statistical significance level of 0.05 ( P =0.09). The interaction between baseline cardiovascular risk factor status and treatment arm on stroke risk did not reach significance ( P =0.05). Similar numbers of stroke subtypes occurred in the intensive BP control and standard control arms of SPRINT.

Abstract Background To determine if proton radiotherapy (PT), compared to intensity-modulated radiotherapy (IMRT), delayed time to cognitive failure in patients with newly diagnosed glioblastoma (GBM). Methods Eligible patients were randomized unblinded to PT vs IMRT. The primary endpoint was time to cognitive failure. Secondary endpoints included overall survival (OS), intracranial progression-free survival (PFS), toxicity, and patient-reported outcomes (PROs). Results A total of 90 patients were enrolled and 67 were evaluable with median follow-up of 48.7 months (range 7.1-66.7). There was no significant difference in time to cognitive failure between treatment arms (HR, 0.88; 95% CI, 0.45-1.75; P = .74). PT was associated with a lower rate of fatigue (24% vs 58%, P = .05), but otherwise, there were no significant differences in PROs at 6 months. There was no difference in PFS (HR, 0.74; 95% CI, 0.44-1.23; P = .24) or OS (HR, 0.86; 95% CI, 0.49-1.50; P = .60). However, PT significantly reduced the radiation dose for nearly all structures analyzed. The average number of grade 2 or higher toxicities was significantly higher in patients who received IMRT (mean 1.15, range 0-6) compared to PT (mean 0.35, range 0-3; P = .02). Conclusions In this signal-seeking phase II trial, PT was not associated with a delay in time to cognitive failure but did reduce toxicity and patient-reported fatigue. Larger randomized trials are needed to determine the potential of PT such as dose escalation for GBM and cognitive preservation in patients with lower-grade gliomas with a longer survival time.

Myelofibrosis (MF) is characterized by progressive bone marrow (BM) fibrosis resulting from aberrant megakaryopoeisis and expression of pro-inflammatory cytokines. These two processes, heavily influenced by bromodomain and extraterminal domain (BET)-mediated gene regulation, lead to myeloproliferation and cytopenias. CPI-0610 is a potent, selective and unique BET inhibitor under investigation in MF patients as monotherapy or in combination with ruxolitinib in the MANIFEST trial (NCT02158858). In ruxolitinib naïve and experienced MF patients, treatment with CPI-0610 monotherapy or in combination with ruxolitinib not only reduced spleen volume and symptoms, but also improved hemoglobin levels and overcame transfusion dependency in a subset of patients. To evaluate the effects of CPI-0610 on BM biology, correlative analyses were conducted using patient samples collected from the MANIFEST trial. Pre-treatment and post-treatment BM biopsy samples were available from 78 evaluable patients, with reticulin staining conducted and evaluated by local pathologists available for 34 pre-treatment and 24-week post-treatment pairs of BM biopsy samples. Improvement in reticulin staining of at least one grade was observed in 32% (11/34) of patients. Central pathology review of reticulin staining is ongoing and will be presented. Additional bone marrow biopsy pairs collected pre-treatment and 24-week post-treatment for exploratory histopathological assessments were available from a total of 23 unselected MANIFEST patients at the time of the abstract submission. To assess changes in erythroid and megakaryocytic lineages, H&E and immunohistochemistry (IHC) staining of CD71 and CD61 were conducted centrally. Semi-quantitative analysis revealed an overt increase in erythroid lineage formation in 61% (14/23) of patients. Patients with CD71 improvement in BM IHC generally showed a greater increase in median hemoglobin levels than those without improvement. Tight clusters of megakaryocytes (MK), characteristic in MF BM, were observed at baseline in all cases and were decreased/absent after treatment in 52% (12/23) patients. In addition, decreased MK number to &lt;5/high powered field was also observed in 39% (9/23) of patients. Overall improvement in MK histotopography was observed in 65% of patients (15/23). Central histopathology review with IHC staining, including reticulin staining, will be conducted on additional samples and will be available for presentation at the conference. To further dissect the underlying mechanism of these relative improvements in bone marrow composition and histotopography induced by CPI-0610, CD34+ hematopoietic stem cells were isolated from peripheral blood collected from multiple MF patients at baseline to evaluate the impact of CPI-0610 on MK and erythroid differentiation in vitro. When CD34+ cells from MF patients were treated with CPI-0610 in erythroid differentiation conditions in the presence of SCF, IL3 and EPO, a dose-dependent increase in more mature erythroid cell populations was observed. However, under the same conditions, ruxolitinib suppressed erythroid differentiation, which is consistent with ruxolitinib inhibition of EPO signaling and the anemia caused by ruxolitinib treatment in MF patients. Suppressive effects of ruxolitinib on erythroid differentiation were partially rescued by CPI-0610 in a dose-dependent manner. CPI-0610 treatment of CD34+ cells from MF patients in MK differentiating conditions in the presence of SCF, IL6, IL9 and TPO resulted in a dose-dependent decrease in proliferation of CD34+ cells and an increase in the ratio of late MK (CD34-/CD41a+/CD42b+) and early MK (CD34+/CD41a+/CD42b+). This CPI-0610-induced dose-dependent maturation of aberrant immature MK cells may play a role in reducing MF disease manifestations. Molecular studies to further our understanding of the underlying mechanisms of CPI-0610 treatment are ongoing. Taken together, these paired BM biopsy and in vitro myeloid maturation results demonstrated an effect of CPI-0610 in promoting erythroid and MK differentiation. These results may partially explain CPI-0610's clinical effects in MF patients, including rising hemoglobin, reduced transfusion dependency and reduction in spleen volume and symptoms. Disclosures Mertz: Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Keller:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Meyer:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Zavidij:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Cui:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Verstovsek:Roche: Research Funding; Gilead: Research Funding; Promedior: Research Funding; Sierra Oncology: Consultancy, Research Funding; Protagonist Therapeutics: Research Funding; AstraZeneca: Research Funding; Genentech: Research Funding; Novartis: Consultancy, Research Funding; Blueprint Medicines Corp: Research Funding; Celgene: Consultancy, Research Funding; CTI Biopharma Corp: Research Funding; PharmaEssentia: Research Funding; Incyte Corporation: Consultancy, Research Funding; ItalPharma: Research Funding; NS Pharma: Research Funding. Gupta:Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol MyersSquibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Incyte: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Talpaz:IMAGO: Consultancy; Takeda: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding. Harrison:Promedior: Honoraria; AOP Orphan Pharmaceuticals: Honoraria; Roche: Honoraria; Incyte Corporation: Speakers Bureau; Gilead Sciences: Honoraria, Speakers Bureau; CTI Biopharma Corp: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau; Janssen: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau; Sierra Oncology: Honoraria. Mead:CTI: Consultancy; Gilead: Consultancy; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau; Celgene/BMS: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding; Abbvie: Consultancy. Mesa:Novartis: Consultancy; CTI BioPharma: Research Funding; Bristol Myers Squibb: Research Funding; Sierra Oncology: Consultancy; Genentech: Research Funding; Samus Therapeutics: Research Funding; LaJolla Pharmaceutical Company: Consultancy; Incyte: Research Funding; Promedior: Research Funding; AbbVie: Research Funding. Mascarenhas:Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution). Senderowicz:Constellation Pharmaceuticals: Consultancy, Current equity holder in publicly-traded company, Ended employment in the past 24 months; Puma Biotechnology: Membership on an entity's Board of Directors or advisory committees. Colak:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Shao:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Luptakova:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Humphrey:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Wang:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Trojer:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company.

Multiple myeloma (MM) is characterized by clonal expansion of malignant plasma cells (PCs) and aberrant production of monoclonal immunoglobulin detected as an M spike using serum protein electrophoresis. In the United States, MM represents ~15% of hematologic malignancies and is one of the few cancers increasing in incidence (e.g., 14,400 in 1996 to 32,270 in 2020, from SEER). Despite recent treatment advances, patients diagnosed with high risk/refractory MM (hrrMM) have an overall survival of only three years. Recently, our lab developed the first genetically engineered NrasQ61R; Myc-driven myeloma model (VQ mice). The VQ model recapitulates most biological and clinical features of hrrMM. VQ cells are serially transplantable into syngeneic recipients and can be propagated in vitro. As such, the VQ model could serve as a robust pre-clinical platform for drug screening and in vivo testing of new therapies to treat hrrMM. Whole exome sequencing (WES) of CD138+ cells from five primary VQ mice identified eight recurrently mutated genes. Of these eight genes, two have been previously identified as recurrently mutated in MM patients while the remainder appear to be unique to VQ myeloma. Meanwhile, RNA sequencing of CD138+ cells taken from both primary VQ mice and secondary VQ recipients show differential gene expression for five of these eight genes. Gene ontology analysis of recurrently mutated genes indicates that these genes play a role in interferon signaling, as well as receptor tyrosine kinase signaling. Here, we report the results of a high-throughput repurposing screen using the NCI's AOD IX library, which consists of 147 FDA-approved anti-cancer drugs. VQ cells were treated with 0.1 and 1µM of each compound in the presence or absence of 10nM of Trametinib (Tra), a potent MEK inhibitor. Screening results returned expected positive hits that were previously FDA approved for MM treatment (green dots, Panel 1B), such as proteasome inhibitors, histone deacetylase inhibitors, and chemotherapy drugs. Importantly, VQ cells were resistant to some compounds currently used to treat MM, including the BCL-2 inhibitor Venetoclax, the alkylating agent Melphalan, and the topoisomerase II inhibitor Etoposide (red dots, Panel 1B). De novo resistance to these therapies further indicates that the VQ cells model a multi-drug resistant MM. Two compounds were chosen for further testing: the protein translation inhibitor Omacetaxine (Oma) based on its single agent efficacy, and the multi-receptor tyrosine kinase inhibitor Ponatinib (Pot) based on its high synergy with Tra. Combination Index testing confirmed initial drug screening results but showed some antagonism between combination Oma and Pot treatment. We proceeded with in vivo testing of two novel combination therapies, in which 3-week treatment cycles were followed by a 1-week rest period between cycles: Three weeks of daily Tra and Pot treatment (TP), or two weeks of Tra and Pot treatment followed by one week of Oma (TPO) treatment. Vehicle (Veh) treated and Tra only treated mice were used as controls. Treatment efficacy was assessed against VQ-D1 MM, which grows primarily in the bone marrow (BM) and metastasizes to the spleen and liver of recipient mice. Four weeks post-treatment, myeloma growth in the BM was significantly reduced in both combo treatment groups, while MM burden in the spleen was also reduced. Overall, both TP and TPO treatment significantly extended survival compared to Veh or Tra treated mice, and significantly reduced liver extramedullary disease. To further test the range of Tra/Pot synergy in vivo, Tra dosage was reduced and treatment was administered daily. Interestingly, both low dose Tra monotherapy and TP combo therapy significantly extended survival compared to Veh control or Pot alone, and TP treated mice had increased survival compared to the Tra only treated mice. Taken together, our results show that low dose daily Trametinib treatment is superior to cycling dosage, and that Ponatinib treatment synergizes with both dosing schedules to extend survival in vivo. Our study demonstrates the utility of the VQ model for identifying new treatments for hrrMM and testing their efficacy in vivo. As part of our ongoing drug repurposing experiments, we have expanded our screening to a panel of 2,580 FDA-approved drugs, including but not limited to anti-cancer and anti-inflammatory drugs. Figure Disclosures Callander: Cellectar: Research Funding; University of Wisconsin: Current Employment.

AbstractPurposeSevere adverse events (AEs), such as Guillain‐Barré syndrome (GBS) occur rarely after influenza vaccination. We identify highly associated AEs with GBS and develop prediction models for GBS using the US Vaccine Adverse Event Reporting System (VAERS) reports following trivalent influenza vaccination (FLU3).MethodsThis study analyzed 80 059 reports from the US VAERS between 1990 and 2017. Several AEs were identified as highly associated with GBS and were used to develop the prediction model. Some common and mild AEs that were suspected to be underreported when GBS occurred simultaneously were removed from the final model. The analyses were validated using European influenza vaccine AEs data from EudraVigilance.ResultsOf the 80 059 reports, 1185 (1.5%) were annotated as GBS related. Twenty‐four AEs were identified as having strong association with GBS. The full prediction model, using age, sex, and all 24 AEs achieved an area under the receiver operating characteristic (ROC) curve (AUC) of 85.4% (90% CI: [83.8%, 86.9%]). After excluding the nine (e.g., pruritus, rash, injection site pain) likely underreported AEs, the final AUC became 77.5% (90% CI: [75.5%, 79.6%]). Two hundred and one (0.25%) reports were predicted as of high risk of GBS (predicted probability >25%) and 84 actually developed GBS.ConclusionThe prediction performance demonstrated the potential of developing risk‐prediction models utilizing the VAERS cohort. Excluding the likely underreported AEs sacrificed some prediction power but made the model more interpretable and feasible. The high absolute risk of even a small number of AE combinations suggests the promise of GBS prediction within the VAERS dataset.

ABSTRACT Background: Damage-associated molecular patterns (DAMPs) stimulate endothelial syndecan-1 shedding and neutrophil extracellular traps (NET) formation. The role of NETs in trauma and trauma-induced hypercoagulability is unknown. We hypothesized that trauma patients with accelerated thrombin generation would have increased NETosis and syndecan-1 levels. Methods: In this pilot study, we analyzed 50 citrated plasma samples from 30 trauma patients at 0 h (n = 22) and 6 h (n = 28) from time of injury (TOI) and 21 samples from healthy volunteers, for a total of 71 samples included in analysis. Thrombin generation was quantified using calibrated automated thrombogram (CAT) and reported as lag time (LT), peak height (PH), and time to peak (ttPeak). Nucleosome calibrated (H3NUC) and free histone standardized (H3Free) ELISAs were used to quantify NETs. Syndecan-1 levels were quantified by ELISA. Results are presented as median [interquartile range] and Spearman rank correlations. Results: Plasma levels of H3NUC were increased in trauma patients as compared with healthy volunteers both at 0 h (89.8 ng/mL [35.4, 180.3]; 18.1 ng/mL [7.8, 37.4], P = 0.002) and at 6 h (86.5 ng/mL [19.2, 612.6]; 18.1 ng/mL [7.8, 37.4], P = 0.003) from TOI. H3Free levels were increased in trauma patients at 0 h (5.74 ng/mL [3.19, 8.76]; 1.61 ng/mL [0.66, 3.50], P = 0.002) and 6 h (5.52 ng/mL [1.46, 11.37]; 1.61 ng/mL [0.66, 3.50], P = 0.006). Syndecan-1 levels were greater in trauma patients (4.53 ng/mL [3.28, 6.28]; 2.40 ng/mL [1.66, 3.20], P < 0.001) only at 6 h from TOI. H3Free and syndecan-1 levels positively correlated both at 0 h (0.376, P = 0.013) and 6 h (0.583, P < 0.001) from TOI. H3NUC levels and syndecan-1 levels were positively correlated at 6 h from TOI (0.293, P = 0.041). TtPeak correlated inversely to H3 NUC (−0.358, P = 0.012) and syndecan-1 levels (−0.298, P = 0.038) at 6 h from TOI. Conclusions: Our pilot study demonstrates that trauma patients have increased NETosis, measured by H3NUC and H3Free levels, increased syndecan-1 shedding, and accelerated thrombin generation kinetics early after injury.

468 Background: The burden of gastrointestinal (GI) disease is high, costing over $97 billion annually in the United States (U.S.) alone. Yet the methodological rigor and characteristics of trials leading to guideline development are rarely explored. In 2007, the U.S. mandated that all interventional studies (Phase II-IV) register with ClinicalTrials.gov, the largest international clinical trial database. We characterized registered GI trials to identify features associated with early discontinuation, results reporting and increased methodological rigor. Methods: We employed a cross-sectional study design with descriptive, logistic regression, cox regression, time series and survival analyses. We downloaded data for 327 075 studies registered on the Aggregate Analysis of the ClinicalTrials.gov database from October 1, 2007 to December 31, 2019. Trials were excluded if registered prior to 2007 (n=38 111) or for non-interventional study design (n=69 233). After applying GI specific Medical Subject Heading terms to the remaining 219 731 trials, 22 339 trials were identified for manual review. 20 548 trials were found to contain true GI content, representing over seven million patients. Primary exposure variables were trial focus (disease process, anatomical location) and funding (industry, U.S. government, academic). Results: Of the 20 548 GI trials, 6.1% were funded by the U.S. government, 35.6% by industry, and 58.3% by academic institutions. The most studied disease process was neoplasia (42.6% of trials), followed by viral hepatitis (10.8%). The majority of neoplasia trials were funded by academic institutions (60.3%) and studied colorectal neoplasms (31.5%), followed by hepatic (17.9%), pancreatic (15.5%), gastric (12.8%), esophageal (10.6%) and biliary tract (4.9%) neoplasms. U.S. government funded trials had the lowest risk of early discontinuation (adjusted Hazard Ratio 0.63, 95% CI: 0.48-0.83, p<0.001) and the highest rates of results reporting (25%, X2 p<0.001). Among all trials, the majority did not report Data Monitoring Committee (DMC) oversight (58.6%). Only 12% of phase III trials employed a rigorous methodology, which we defined as being randomized, double blinded, multi-site, overseen by a DMC, and having enrolled ≥50 patients. Government sponsored trials had the highest proportion of trials meeting this definition (19%). Academic sponsored trials, constituting the majority of trials overall, had the lowest proportion (5.3%), in part due to not meeting the multi-site criteria. Conclusions: Despite constituting the minority of trials overall, U.S. government funded trials displayed the highest methodological rigor. Stakeholders can look to U.S. government funded trials as a model of improvement, but nevertheless must commit to increasing methodological rigor and results dissemination to strengthen trial findings that guide GI clinical recommendations.