53 research outputs found

    Cannon Lamont in a Senior Voice Recital

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    This is the program for the senior voice recital of Cannon Lamont. Pianist Richard Askin assisted the performance. The recital took place on March 14, 1974, in the Mitchell Hall Auditorium

    Peggy King in a Senior Voice Recital

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    This is the program for the senior voice recital of soprano Peggy King. The recital was held on December 10, 1973, at 8:00 p.m., in Mitchell Hall. King was accompanied by Cannon Lamont on piano

    Richard Askin and Towanann Payne in a Junior Recital

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    This is the program for the joint junior recital of tenor Richard Askin and soprano Towanann Payne. The recital was held on December 7, 1972, at 5:00. Cannon Lamont accompanied Askin on piano; Peggy Pearson accompanied Towanann Payne on piano

    Porphyromonas gingivalis–dendritic cell interactions: consequences for coronary artery disease

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    An estimated 80 million US adults have one or more types of cardiovascular diseases. Atherosclerosis is the single most important contributor to cardiovascular diseases; however, only 50% of atherosclerosis patients have currently identified risk factors. Chronic periodontitis, a common inflammatory disease, is linked to an increased cardiovascular risk. Dendritic cells (DCs) are potent antigen presenting cells that infiltrate arterial walls and may destabilize atherosclerotic plaques in cardiovascular disease. While the source of these DCs in atherosclerotic plaques is presently unclear, we propose that dermal DCs from peripheral inflamed sites such as CP tissues are a potential source. This review will examine the role of the opportunistic oral pathogen Porphyromonas gingivalis in invading DCs and stimulating their mobilization and misdirection through the bloodstream. Based on our published observations, combined with some new data, as well as a focused review of the literature we will propose a model for how P. gingivalis may exploit DCs to gain access to systemic circulation and contribute to coronary artery disease. Our published evidence supports a significant role for P. gingivalis in subverting normal DC function, promoting a semimature, highly migratory, and immunosuppressive DC phenotype that contributes to the inflammatory development of atherosclerosis and, eventually, plaque rupture

    An international randomised controlled trial to compare TARGeted Intraoperative radioTherapy (TARGIT) with conventional postoperative radiotherapy after breast-conserving surgery for women with early-stage breast cancer (the TARGIT-A trial)

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    Background: Based on our laboratory work and clinical trials we hypothesised that radiotherapy after lumpectomy for breast cancer could be restricted to the tumour bed. In collaboration with the industry we developed a new radiotherapy device and a new surgical operation for delivering single-dose radiation to the tumour bed – the tissues at highest risk of local recurrence. We named it TARGeted Intraoperative radioTherapy (TARGIT). From 1998 we confirmed its feasibility and safety in pilot studies. Objective: To compare TARGIT within a risk-adapted approach with whole-breast external beam radiotherapy (EBRT) over several weeks. Design: The TARGeted Intraoperative radioTherapy Alone (TARGIT-A) trial was a pragmatic, prospective, international, multicentre, non-inferiority, non-blinded, randomised (1 : 1 ratio) clinical trial. Originally, randomisation occurred before initial lumpectomy (prepathology) and, if allocated TARGIT, the patient received it during the lumpectomy. Subsequently, the postpathology stratum was added in which randomisation occurred after initial lumpectomy, allowing potentially easier logistics and a more stringent case selection, but which needed a reoperation to reopen the wound to give TARGIT as a delayed procedure. The risk-adapted approach meant that, in the experimental arm, if pre-specified unsuspected adverse factors were found postoperatively after receiving TARGIT, EBRT was recommended. Pragmatically, this reflected how TARGIT would be practised in the real world. Setting: Thirty-three centres in 11 countries. Participants: Women who were aged ≥ 45 years with unifocal invasive ductal carcinoma preferably ≤ 3.5 cm in size. Interventions: TARGIT within a risk-adapted approach and whole-breast EBRT. Main outcome measures: The primary outcome measure was absolute difference in local recurrence, with a non-inferiority margin of 2.5%. Secondary outcome measures included toxicity and breast cancer-specific and non-breast-cancer mortality. Results: In total, 3451 patients were recruited between March 2000 and June 2012. The following values are 5-year Kaplan–Meier rates for TARGIT compared with EBRT. There was no statistically significant difference in local recurrence between TARGIT and EBRT. TARGIT was non-inferior to EBRT overall [TARGIT 3.3%, 95% confidence interval (CI) 2.1% to 5.1% vs. EBRT 1.3%, 95% CI 0.7% to 2.5%; p = 0.04; Pnon-inferiority = 0.00000012] and in the prepathology stratum (n = 2298) when TARGIT was given concurrently with lumpectomy (TARGIT 2.1%, 95% CI 1.1% to 4.2% vs. EBRT 1.1%, 95% CI 0.5% to 2.5%; p = 0.31; Pnon-inferiority = 0.0000000013). With delayed TARGIT postpathology (n = 1153), the between-group difference was larger than 2.5% and non-inferiority was not established for this stratum (TARGIT 5.4%, 95% CI 3.0% to 9.7% vs. EBRT 1.7%, 95% CI 0.6% to 4.9%; p = 0.069; Pnon-inferiority = 0.06640]. The local recurrence-free survival was 93.9% (95% CI 90.9% to 95.9%) when TARGIT was given with lumpectomy compared with 92.5% (95% CI 89.7% to 94.6%) for EBRT (p = 0.35). In a planned subgroup analysis, progesterone receptor (PgR) status was found to be the only predictor of outcome: hormone-responsive patients (PgR positive) had similar 5-year local recurrence with TARGIT during lumpectomy (1.4%, 95% CI 0.5% to 3.9%) as with EBRT (1.2%, 95% CI 0.5% to 2.9%; p = 0.77). Grade 3 or 4 radiotherapy toxicity was significantly reduced with TARGIT. Overall, breast cancer mortality was much the same between groups (TARGIT 2.6%, 95% CI 1.5% to 4.3% vs. EBRT 1.9%, 95% CI 1.1% to 3.2%; p = 0.56) but there were significantly fewer non-breast-cancer deaths with TARGIT (1.4%, 95% CI 0.8% to 2.5% vs. 3.5%, 95% CI 2.3% to 5.2%; p = 0.0086), attributable to fewer deaths from cardiovascular causes and other cancers, leading to a trend in reduced overall mortality in the TARGIT arm (3.9%, 95% CI 2.7% to 5.8% vs. 5.3%, 95% CI 3.9% to 7.3%; p = 0.099]. Health economic analyses suggest that TARGIT was statistically significantly less costly than EBRT, produced similar quality-adjusted life-years, had a positive incremental net monetary benefit that was borderline statistically significantly different from zero and had a probability of \u3e 90% of being cost-effective. There appears to be little uncertainty in the point estimates, based on deterministic and probabilistic sensitivity analyses. If TARGIT were given instead of EBRT in suitable patients, it might potentially reduce costs to the health-care providers in the UK by £8–9.1 million each year. This does not include environmental, patient and societal costs. Limitations: The number of local recurrences is small but the number of events for local recurrence-free survival is not as small (TARGIT 57 vs. EBRT 59); occurrence of so few events (\u3c 3.5%) also implies that both treatments are effective and any difference is unlikely to be large. Not all 3451 patients were followed up for 5 years; however, more than the number of patients required to answer the main trial question (n = 585) were followed up for \u3e 5 years. Conclusions: For patients with breast cancer (women who are aged ≥ 45 years with hormone sensitive invasive ductal carcinoma that is up to 3.5 cm in size), TARGIT concurrent with lumpectomy within a risk-adapted approach is as effective as, safer than and less expensive than postoperative EBRT. Future work: The analyses will be repeated with longer follow-up. Although this may not change the primary result, the larger number of events may confirm the effect on overall mortality and allow more detailed subgroup analyses. The TARGeted Intraoperative radioTherapy Boost (TARGIT-B) trial is testing whether or not a tumour bed boost given intraoperatively (TARGIT) boost is superior to a tumour bed boost given as part of postoperative EBRT. Trial registration: Current Controlled Trials ISRCTN34086741 and ClinicalTrials.gov NCT00983684. Funding: University College London Hospitals (UCLH)/University College London (UCL) Comprehensive Biomedical Research Centre, UCLH Charities, Ninewells Cancer Campaign, National Health and Medical Research Council and German Federal Ministry of Education and Research (BMBF). From September 2009 this project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 73. See the NIHR Journals Library website for further project information

    Runs of homozygosity and testicular cancer risk

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    Background: Testicular germ cell tumour (TGCT) is highly heritable but > 50% of the genetic risk remains unexplained. Epidemiological observation of greater relative risk to brothers of men with TGCT compared to sons has long alluded to recessively acting TGCT genetic susceptibility factors, but to date none have been reported. Runs of homozygosity (RoH) are a signature indicating underlying recessively acting alleles and have been associated with increased risk of other cancer types. / Objective: To examine whether RoH are associated with TGCT risk. / Methods: We performed a genome‐wide RoH analysis using GWAS data from 3206 TGCT cases and 7422 controls uniformly genotyped using the OncoArray platform. / Results: Global measures of homozygosity were not significantly different between cases and controls, and the frequency of individual consensus RoH was not significantly different between cases and controls, after correction for multiple testing. RoH at three regions, 11p13‐11p14.3, 5q14.1‐5q22.3 and 13q14.11‐13q.14.13, were, however, nominally statistically significant at p < 0.01. Intriguingly, RoH200 at 11p13‐11p14.3 encompasses Wilms tumour 1 (WT1), a recognized cancer susceptibility gene with roles in sex determination and developmental transcriptional regulation, processes repeatedly implicated in TGCT aetiology. / Discussion and conclusion: Overall, our data do not support a major role in the risk of TGCT for recessively acting alleles acting through homozygosity, as measured by RoH in outbred populations of cases and controls

    An international randomised controlled trial to compare TARGeted Intraoperative radioTherapy (TARGIT) with conventional postoperative radiotherapy after breast-conserving surgery for women with early-stage breast cancer (the TARGIT-A trial)

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    Information optimal experiment design of HIV 2-LTR clinical trials by Expected Kullback-Leibler Divergence

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    Zurakowski, Ryan M.Finding a cure for individuals infected with the Human Immunodeficiency Virus (HIV) has proved to be a challenging task. This is primarily due to the fact that conventional treatment has not been able to adequately disrupt the replication process in order to eradicate the virus. One of the possible explanations for this lack of treatment efficacy is that there are low levels of ongoing replication occurring in locations of reduced drug concentration called sanctuary sites. In order to effectively treat the disease, it would be advantageous to clinicians to know how much on-going replication is occurring. This knowledge would then help to guide patient specific treatment for the disease. A novel method to quantify the level on going replication has been suggested. This method entails taking blood samples and measuring biomarkers of on-going. In order to be identified as a valid method clinical trials must be carried out; however, they can often be costly, time consuming and demanding to the patients. For these reasons, meticulous effort should be applied to make sure that these trials are as efficient and informative as possible. ☐ This thesis summarizes several common methods used for optimal design that can be used to address these issues. A mathematical model is first employed to demonstrate the dynamics of the HIV and on-going replication biomarker system. Using this model in conjunction with preliminary laboratory data, Bayesian Markov Chain Monte Carlo Methods are applied to estimate model parameter distributions under a variety of different experiment assumptions. We then calculate the Expected Kullback-Leibler Divergence (EKLD) between the a priori parameter distributions and the a posteriori distributions for each experiment regimen. This value is taken to indicate the amount of information we can expect to gain from performing the experiment under each particular design. Through the use of genetic algorithms we then locate the experiment design that optimizes the expected gain in information. In doing so, this thesis shows that the EKLD optimization method is robust and performs equally well if not better than traditional optimal experiment design techniques under multiple experiment design criteria. Due to the increased capability provided by the EKLD optimization method in the design of experiments, it should be used in on-going replication quantification experiments in order to maximize information gain and to minimize costs.University of Delaware, Department of Biomedical EngineeringPh.D

    Tackling Silos and Cultures: VIVO Outreach and Engagement at Duke University

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    What’s the best way to reach faculty members? Most colleges and universities are commonly siloed across schools and departments, so it is a major challenge to effectively communicate with faculty to inform and educate them consistently on any topic. Cultures across schools can be very different -- what is important can vary greatly across disciplines. In addition, we found that by talking with Duke school communicators, administrators, and other teams who have implemented systems in the past, there is no single “best way” in which to consistently reach all faculty. <br><br>Given these issues and challenges, the Scholars@Duke team took a multi-pronged approach to engage our faculty concerning our VIVO implementation (Scholars@Duke). In this presentation, we will discuss our methods of outreach and how we interacted with faculty, power users, data consumers, and other Scholars@Duke stakeholders. We will discuss the successes, as well as, the “not so happy” reactions of faculty with the hope that our methods and strategies help other VIVO institutions add to their “outreach toolbox” at their own institutions
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