Citations

11002 Background: Pazopanib is a multi-targeted tyrosine kinase inhibitor with activity in advanced soft tissue sarcoma. ARST1321 is a phase II study designed to compare the near complete pathologic response rate (≥ 90% necrosis) of preoperative chemoradiation +/- pazopanib in children and adults with intermediate/high risk chemotherapy-sensitive NRSTS. Methods: ARST1321 is a jointly designed COG and NRG Oncology study opened to enrollment in July 2014. Eligible adult (≥18 years) and pediatric ( < 18 years) patients with unresected, newly diagnosed truncal/extremity NRSTS were enrolled into the Chemotherapy Cohort ( > 5 cm, grade 2/3, protocol-designated chemotherapy-sensitive histology). Following a dose-finding phase, patients were randomized to receive (Regimen A) or not receive (Regimen B) pazopanib ( < 18 years: 350 mg/m2/day; ≥ 18 years: 600 mg/day) in combination with ifosfamide (7.5 gm/m2/cycle) and doxorubicin (75 mg/m2/cycle) + 45 Gy preoperative RT followed by primary resection at week 13, then adjuvant chemotherapy. Results: As of June 30, 2018, 81 eligible patients were enrolled and randomized. Week 13 response is available for 42 patients (60% of expected information). The rate of ≥ 90% pathologic necrosis was 58.3% for Regimen A and 22.2% for Regimen B. Based on the significance level of 0.081 (for the second efficacy analysis with overall one-sided significance level of 0.20, power of 0.80, and O’Brien-Fleming-type cumulative error spending function), the 83.8% confidence interval for the difference was between 16.5% and 55.8%. At this predetermined interim analysis, the efficacy bound was crossed indicating that Regimen A is more efficacious than Regimen B. Given these findings, enrollment was stopped. Grade 3/4 toxicities were 73.8% for Regimen A and 29% for Regimen B with neutropenia, thrombocytopenia and febrile neutropenia being the most common toxicities. Conclusions: The rate of near complete pathologic response was significantly greater with the addition of pazopanib to preoperative chemoradiation in children and adults with intermediate/high risk NRSTS. The comparison of survival outcomes requires longer follow-up. Clinical trial information: NCT02180867.

Objective To evaluate the efficacy of ubrogepant on patient‐reported functional disability, satisfaction with study medication, and global impression of change. Background Ubrogepant is a small‐molecule, oral calcitonin gene‐related peptide receptor antagonist indicated for the acute treatment of migraine. In 2 phase 3 trials (ACHIEVE I and II), ubrogepant demonstrated efficacy vs placebo on the 2 co‐primary endpoints of headache pain freedom and absence of the most bothersome migraine‐associated symptom at 2 hours post dose for the 50 and 100 mg doses. Patient‐reported outcomes, such as functional disability, satisfaction, and patient global impression of change, can provide additional evidence of the efficacy of an acute treatment for migraine on clinically meaningful and patient‐relevant outcomes. Methods ACHIEVE I and ACHIEVE II were multicenter, randomized, double‐blind, placebo‐controlled, parallel‐group, single‐attack trials in adults (18‐75 years) with migraine. In ACHIEVE I, participants were randomized 1:1:1 to placebo or ubrogepant 50 or 100 mg; in ACHIEVE II, participants were randomized 1:1:1 to placebo or ubrogepant 25 or 50 mg to treat a migraine attack with moderate or severe headache pain. Participants rated ability to perform daily activities on the Functional Disability Scale, before dosing and at 1, 2, 4, and 8 hours after the initial dose; satisfaction with study medication at 2 and 24 hours; and impression of overall change in migraine on the Patient Global Impression of Change scale at 2 hours. In prespecified analyses for each trial, each outcome was compared between each ubrogepant dose group and the relevant placebo group. Data were pooled from the ubrogepant 50 mg and placebo groups of the 2 trials in a post hoc analysis. Results In ACHIEVE I, 559 participants were randomized to placebo, 556 to ubrogepant 50 mg, and 557 to ubrogepant 100 mg; in ACHIEVE II, 563 were randomized to placebo, 561 to ubrogepant 25 mg, and 562 to ubrogepant 50 mg. At 2 hours post dose, significantly higher proportions of ubrogepant‐treated participants vs placebo‐treated participants reported being able to function normally (ACHIEVE I: ubrogepant 50 mg, 40.6% [171/421], P = .0012 vs placebo; ubrogepant 100 mg, 42.9% [192/448], P < .0001 vs placebo; placebo, 29.8% [136/456]; ACHIEVE II: ubrogepant 25 mg, 42.6% [185/434], P = .0015 vs placebo; ubrogepant 50 mg, 40.5% [188/464], P = .0118 vs placebo; placebo, 34.2% [156/456]; pooled 50 mg, 40.6% [359/885], vs pooled placebo, 32.0% [292/912]; P < .0001), were satisfied/extremely satisfied with study medication (ACHIEVE I: 50 mg, 36.3% [147/405], P < .0001 vs placebo; 100 mg, 35.8% [149/416], P = .0002 vs placebo; placebo, 24.1% [104/432]; ACHIEVE II: 25 mg, 35.1% [141/402], P = .0018 vs placebo; 50 mg, 37.8% [163/431], P < .0001 vs placebo; placebo, 24.8% [106/427]; pooled ubrogepant 50 mg, 37.1% [310/836], vs pooled placebo, 24.5% [210/859]; P < .0001), and indicated that their migraine was much/very much better on the Patient Global Impression of Change scale (ACHIEVE I: 50 mg, 34.4% [103/299], P = .0006 vs placebo; 100 mg, 34.3% [102/297], P = .0009 vs placebo; placebo, 22.0% [69/313]; ACHIEVE II: 25 mg, 34.1% [124/364], P < .0001 vs placebo; 50 mg, 33.4% [131/392], P = .0002 vs placebo; placebo, 20.7% [78/376]; pooled 50 mg, 33.9% [234/691], vs pooled placebo, 21.3% [147/689]; P < .0001). Conclusions A significantly higher proportion of participants treated with ubrogepant were able to function normally, were satisfied with the study medication, and reported clinically meaningful improvement compared with those receiving placebo. The results reinforce the potential benefits of ubrogepant on patient‐centered outcomes in the acute treatment of migraine.

Abstract Remediation of struggling learners is a challenge faced by all educators. In recognition of this reality, and in light of contemporary challenges facing infectious diseases (ID) fellowship program directors, the Infectious Diseases Society of America Training Program Directors’ Committee focused the 2018 National Fellowship Program Directors’ Meeting at IDWeek on “Remediation of the Struggling Fellow.” Small group discussions addressed 7 core topics, including feedback and evaluations, performance management and remediation, knowledge deficits, fellow well-being, efficiency and time management, teaching skills, and career development. This manuscript synthesizes those discussions around a competency-based framework to provide program directors and other educators with a roadmap for addressing common contemporary remediation challenges.

Introduction: Interferon regulatory factor 4 (IRF4) is a transcription factor involved in B cell activation and differentiation into plasma cells, as well as B-cell lineage neoplasia. Diverse genetic abnormalities and dysregulated expression of IRF4 have been documented in various hematologic malignancies, including multiple myeloma (MM). IRF4 is also identified as a major downstream target of CRBN/IKZF to regulate MYC expression, representing a primary mechanism underlying anti-MM action of IMiDs. However, it remains unclear how the expression and function of IRF4 are regulated in MM cells. Materials and Methods: DNAseq, whole exome RNAseq (WES), and label-free analyses of quantitative proteomics and post-translational modifications (PTMs) mapping were conducted to examine genetic aberrations, transcriptional dysregulation, or protein and PTM alterations in primary patient samples and drug-naive vs -resistant cell lines. Flow cytometry, qPCR, and Western blot analysis were utilized to monitor apoptosis or mRNA and protein levels of target genes. Stable transfection with wild-type or mutated IRF4 was carried out to evaluate its function. Analysis of the MM genome-wide GEP databases (R2: Genomics Analysis and Visualization Platform) was performed to validate the clinical significance of IRF4 and its target genes in MM patients. Results: MM cells that acquired bortezomib (btz) resistance (PS-R) exhibited a marked increase in protein levels of multiple key components of the canonical and non-canonical NF-κB signaling cascades, in association with increased NF-κB transcriptional activity. Pharmacological inhibition of NF-κB using several compounds (e.g., Bay 11-7082, parthenolide, triptolide) significantly increased btz sensitivity in PS-R cells and their parental U266 cells, as well as other MM cell lines. These events were accompanied by down-regulation of various genes, including NF-κB-dependent genes and those whose relationship with NF-κB remains uncertain. The latter included IRF4, MYC, MCL1, BIRC2/cIAP1, SQSTM1/p62, among others. Of note, overexpression of wild-type IRF4 sharply reduced sensitivity of drug-naive cells to btz alone or in combination with NF-κB inhibitors. However, IRF4 overexpression did not prevent inactivation of NF-κB and down-regulation of the NF-κB-dependent genes (e.g., Bcl-xL, TNFAIP3/A20), suggesting that IRF4 acts downstream of NF-κB. Surprisingly, IRF4 overexpression failed to restore expression of MYC, a well-established target of IRF4, while largely reversed expression of cIAP1 and Mcl-1 at both mRNA and protein levels. Moreover, inhibitors of either IAP (birinapant/TL32711) or Mcl-1 (S63845) overcame btz-resistance conferred by IRF4 overexpression. DNAseq unveiled multiple IRF4 SNPs located in introns and exons (both 3'-UTR and coding region) of chromosome 6. WES revealed that IRF4 was highly expressed in primary bone marrow and extramedullary samples of MM patients (2~10 folds over normal donors). But no difference at mRNA and protein levels of IRF4 was observed between drug-naive and -resistant cell lines. The global PTM mapping identified two lysine residues (K59 and K399) that were highly ubiquitinated in PS-R cells (p = 0.0447 and p = 0.0004, vs U266 cells). Interestingly, ectopic expression of IRF4 mutants (e.g., K59N, K123R) lost the cytoprotective capability of their wild-type counterpart, in association with failure to reverse down-regulation of cIAP1 and Mcl-1. This observation argues that these point mutations are loss-of-function, which might explain better prognosis of patients carrying IRF4 mutations (including K59N and K123R) than wild-type IRF4 as reported previously. Last, the MM GEP database analysis validated the correlation between IRF4 and Mcl-1 or cIAP expression, as well as the adverse effect of their dysregulation on overall survival of MM patients. Conclusion: IRF4 is highly expressed in MM cells, likely via an NF-κB-dependent mechanism. IRF4 acts downstream of the NF-κB signaling pathways, which in turn directly targets cIAP1 and Mcl-1, rather than MYC, to confer drug resistance. IRF4 could be mutated in MM patients, while the point mutations, at least at certain lysine sites, seem to be loss-of-function and thus predict better outcome. Together, these findings suggest that the oncogenic function of IRF4 might be governed at genetic, transcriptional, and PTM levels in MM cells. Disclosures Kumar: Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Introduction The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert artificial intelligence (AI)-based natural language processing (NLP) algorithms for two existing asthma criteria to electronic health records of a paediatric population systematically identifies childhood asthma and its subgroups with distinctive characteristics. Methods Using the 1997–2007 Olmsted County Birth Cohort, we applied validated NLP algorithms for Predetermined Asthma Criteria (NLP-PAC) as well as Asthma Predictive Index (NLP-API). We categorised subjects into four groups (both criteria positive (NLP-PAC+/NLP-API+); PAC positive only (NLP-PAC+ only); API positive only (NLP-API+ only); and both criteria negative (NLP-PAC−/NLP-API−)) and characterised them. Results were replicated in unsupervised cluster analysis for asthmatics and a random sample of 300 children using laboratory and pulmonary function tests (PFTs). Results Of the 8196 subjects (51% male, 80% white), we identified 1614 (20%), NLP-PAC+/NLP-API+; 954 (12%), NLP-PAC+ only; 105 (1%), NLP-API+ only; and 5523 (67%), NLP-PAC−/NLP-API−. Asthmatic children classified as NLP-PAC+/NLP-API+ showed earlier onset asthma, more Th2-high profile, poorer lung function, higher asthma exacerbation and higher risk of asthma-associated comorbidities compared with other groups. These results were consistent with those based on unsupervised cluster analysis and lab and PFT data of a random sample of study subjects. Conclusion Expert AI-based NLP algorithms for two asthma criteria systematically identify childhood asthma with distinctive characteristics. This approach may improve precision, reproducibility, consistency and efficiency of large-scale clinical studies for asthma and enable population management.

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm—the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

Abstract A complex network precisely regulates the cell cycle through the G1, S, G2, and M phases and is the basis for cell division under physiological and pathological conditions. On the one hand, the transition from one phase to another as well as the progression within each phase is driven by the specific cyclin-dependent kinases (CDKs; e.g., CDK1, CDK2, CDK4, CDK6, and CDK7), together with their exclusive partner cyclins (e.g., cyclin A1, B1, D1–3, and E1). On the other hand, these phases are negatively regulated by endogenous CDK inhibitors such as p16ink4a, p18ink4c, p19ink4d, p21cip1, and p27kip1. In addition, several checkpoints control the commitment of cells to replicate DNA and undergo mitosis, thereby avoiding the passage of genomic errors to daughter cells. CDKs are often constitutively activated in cancer, which is characterized by the uncontrolled proliferation of transformed cells, due to genetic and epigenetic abnormalities in the genes involved in the cell cycle. Moreover, several oncogenes and defective tumor suppressors promote malignant changes by stimulating cell cycle entry and progression or disrupting DNA damage responses, including the cell cycle checkpoints, DNA repair mechanisms, and apoptosis. Thus, genes or proteins related to cell cycle regulation remain the main targets of interest in the treatment of various cancer types, including hematologic malignancies. In this context, advances in the understanding of the cell cycle regulatory machinery provide a basis for the development of novel therapeutic approaches. The present article summarizes the pathways as well as their genetic and epigenetic alterations that regulate the cell cycle; moreover, it discusses the various approved or potential therapeutic targets associated with the cell cycle, focusing on hematologic malignancies.

Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this study, we developed an advanced machine learning model for de novo drug safety assessment by solving the multilayer drug‐gene‐adverse drug reaction (ADR) interaction network. For the first time, the drug safety was assessed in a broad landscape of 1,156 distinct ADRs. We also designed a parameter ToxicityScore to quantify the overall drug safety. Moreover, we determined association strength for every 3,807,631 gene‐ADR interactions, which clues mechanistic exploration of ADRs. For convenience, we deployed the model as a web service ADRAlert‐gene at http://www.bio-add.org/ADRAlert/. In summary, this study offers insights into prioritizing safe drug therapy. It helps reduce the attrition rate of new drug discovery by providing a reliable ADR profile in the early preclinical stage.

Due to frequent abnormal breathing events and their effects on sleep architecture, patients with obstructive sleep apnea (OSA) exhibit decreased amounts of slow wave sleep (SWS). Reduced SWS has been linked to hypertension in community-based studies. We sought to investigate whether SWS percentage modifies the association between OSA and prevalent hypertension. We studied 7107 patients with OSA and 1118 primary snorers who underwent in-laboratory polysomnography. Patients were classified into quartiles of percent SWS. Hypertension was defined based either on clinic blood pressure measures or on physician diagnosis. Multivariable logistic regression model showed a significant interaction effect of OSA and SWS on prevalent hypertension ( P =0.002). Decreased SWS was associated with higher odds for hypertension in OSA but not in primary snoring, with patients with OSA exhibiting <0.1% SWS (OR, 1.44 [95% CI, 1.21–1.70]; P =0.001) and those with 0.1% to 4.8% SWS (OR, 1.20 [95% CI, 1.03–1.40]; P =0.02) being more likely to have hypertension compared with those with >11.1% SWS. In analysis stratified by OSA severity, significant associations between percent SWS and blood pressure emerged only in moderate and severe OSA. Effect modifications by sex ( P =0.040) and age ( P =0.007) were also only evident in OSA, indicating that decreased SWS was associated with hypertension only in men and in patients <60 years old. Decreased SWS is associated with a dose-dependent increase in odds of prevalent hypertension in patients with OSA. The effects of SWS are likely to be modulated by OSA severity. SWS may be implicated in the heightened risk of cardiovascular diseases exhibited by patients with OSA.

AbstractThe active involvement of citizen scientists in setting research agendas, partnering with academic investigators to conduct research, analyzing and disseminating results, and implementing learnings from research can improve both processes and outcomes. Adopting a citizen science approach to the practice of precision medicine in clinical care and research will require healthcare providers, researchers, and institutions to address a number of technical, organizational, and citizen scientist collaboration issues. Some changes can be made with relative ease, while others will necessitate cultural shifts, redistribution of power, recommitment to shared goals, and improved communication. This perspective, based on a workshop held at the 2018 AMIA Annual Symposium, identifies current barriers and needed changes to facilitate broad adoption of a citizen science-based approach in healthcare.