Showing papers by "University of Texas Health Science Center at Houston published in 2014"
Emory University1, University of California, San Francisco2, University of California, San Diego3, Baylor College of Medicine4, University of Minnesota5, Virginia Commonwealth University6, Rush University Medical Center7, Texas Tech University8, Duke University9, University of Texas Health Science Center at Houston10, National Institutes of Health11
TL;DR: In this article, Anderson et al. discuss the FAHA chair election process and discuss the state of the art in the field of cancer research. But they do not discuss the role of women in this process.
3,218 citations
University of Texas MD Anderson Cancer Center1, American College of Radiology2, University of Texas Health Science Center at Houston3, Tel Aviv Sourasky Medical Center4, Cleveland Clinic5, University of Utah6, Ohio State University7, University of Wisconsin-Madison8, Mayo Clinic9, University of Virginia10, St. Joseph's Hospital and Medical Center11, Thomas Jefferson University12, Emory University13, University of Maryland, Baltimore14
TL;DR: First-line use of bevacizumab did not improve overall survival in patients with newly diagnosed glioblastoma, and progression-free survival was prolonged but did not reach the prespecified improvement target.
Abstract: Background Concurrent treatment with temozolomide and radiotherapy followed by maintenance temozolomide is the standard of care for patients with newly diagnosed glioblastoma. Bevacizumab, a humanized monoclonal antibody against vascular endothelial growth factor A, is currently approved for recurrent glioblastoma. Whether the addition of bevacizumab would improve survival among patients with newly diagnosed glioblastoma is not known. Methods In this randomized, double-blind, placebo-controlled trial, we treated adults who had centrally confirmed glioblastoma with radiotherapy (60 Gy) and daily temozolomide. Treatment with bevacizumab or placebo began during week 4 of radiotherapy and was continued for up to 12 cycles of maintenance chemotherapy. At disease progression, the assigned treatment was revealed, and bevacizumab therapy could be initiated or continued. The trial was designed to detect a 25% reduction in the risk of death and a 30% reduction in the risk of progression or death, the two coprimary ...
2,181 citations
Icahn School of Medicine at Mount Sinai1, Cleveland Clinic2, University of Alabama at Birmingham3, University of Copenhagen4, University College London5, University of Texas Health Science Center at Houston6, New York University7, University of Pennsylvania8, VU University Amsterdam9, National Multiple Sclerosis Society10, Johns Hopkins University11, Vita-Salute San Raffaele University12, University of Ottawa13, University of Rochester14, University of Basel15, University of Düsseldorf16, Pierre-and-Marie-Curie University17, Autonomous University of Barcelona18, University of Toronto19, University of British Columbia20, Sapienza University of Rome21, University of Texas Southwestern Medical Center22, University of California, San Francisco23
TL;DR: Refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression are proposed and strategies for future research to better define phenotypes are outlined.
Abstract: Accurate clinical course descriptions (phenotypes) of multiple sclerosis (MS) are important for communication, prognostication, design and recruitment of clinical trials, and treatment decision-making. Standardized descriptions published in 1996 based on a survey of international MS experts provided purely clinical phenotypes based on data and consensus at that time, but imaging and biological correlates were lacking. Increased understanding of MS and its pathology, coupled with general concern that the original descriptors may not adequately reflect more recently identified clinical aspects of the disease, prompted a re-examination of MS disease phenotypes by the International Advisory Committee on Clinical Trials of MS. While imaging and biological markers that might provide objective criteria for separating clinical phenotypes are lacking, we propose refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression. Strategies for future research to better define phenotypes are also outlined.
2,180 citations
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
Abstract: Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
1,872 citations
Clinical Trial Service Unit1, University of Glasgow2, Cedars-Sinai Medical Center3, Stanford University4, Boehringer Ingelheim5, Mayo Clinic6, University of Edinburgh7, University of Melbourne8, Florey Institute of Neuroscience and Mental Health9, University of Texas Health Science Center at Houston10, University of Alabama at Birmingham11, Helsinki University Central Hospital12, The George Institute for Global Health13, University of Newcastle14, Sapienza University of Rome15, Karolinska Institutet16, University of Washington17, Heidelberg University18
TL;DR: In this paper, a pre-specifi ed meta-analysis of individual patient data from 6756 patients in nine randomised trials comparing alteplase with placebo or open control was conducted.
1,773 citations
Cleveland Clinic1, MedStar Washington Hospital Center2, University of Texas Health Science Center at Houston3, University of Pennsylvania4, Harvard University5, McMaster University6, McGill University7, University of Padua8, European Institute of Oncology9, University of Chicago10, Oslo University Hospital11, Temple University12, University of Liège13, Memorial Sloan Kettering Cancer Center14, Menzies Research Institute15, Mayo Clinic16
TL;DR: The noninvasive evaluation of LVEF has gained importance, and notwithstanding the limitations of the techniques used for its calculation, has emerged as the most widely used strategy for monitoring the changes in cardiac function, both during and after the administration of potentially car- diotoxic cancer treatment.
Abstract: Cardiac dysfunction resulting from exposure to cancer therapeutics
was first recognized in the 1960s, with the widespread introduction
of anthracyclines into the oncologic therapeutic armamentarium.
Heart failure (HF) associated with anthracyclines was then recognized
as an important side effect. As a result, physicians learned to limit their
doses to avoid cardiac dysfunction. Several strategies have been used
over the past decades to detect it. Two of them evolved over time
to be very useful: endomyocardial biopsies and monitoring of left ven-
tricular (LV) ejection fraction (LVEF) by cardiac imaging. Examination
of endomyocardial biopsies proved to be the most sensitive and spe-
cific parameter for the identification of anthracycline-induced LV
dysfunction and became the gold standard in the 1970s. However,
the interest in endomyocardial biopsy has diminished over time
because of the reduction in the cumulative dosages used to treat ma-
lignancies, the invasive nature of the procedure, and the remarkable
progress made in noninvasive cardiac imaging. The noninvasive
evaluation of LVEF has gained importance, and notwithstanding the
limitations of the techniques used for its calculation, has emerged as
the most widely used strategy for monitoring the changes in cardiac
function, both during and after the administration of potentially car-
diotoxic cancer treatment.
1,316 citations
TL;DR: Whole-exome sequencing provided a potential molecular diagnosis for 25% of a large cohort of patients referred for evaluation of suspected genetic conditions, including detection of rare genetic events and new mutations contributing to disease, and may offer advantages over traditional molecular diagnostic approaches in certain patients.
Abstract: Importance Clinical whole-exome sequencing is increasingly used for diagnostic evaluation of patients with suspected genetic disorders. Objective To perform clinical whole-exome sequencing and report (1) the rate of molecular diagnosis among phenotypic groups, (2) the spectrum of genetic alterations contributing to disease, and (3) the prevalence of medically actionable incidental findings such as FBN1 mutations causing Marfan syndrome. Design, Setting, and Patients Observational study of 2000 consecutive patients with clinical whole-exome sequencing analyzed between June 2012 and August 2014. Whole-exome sequencing tests were performed at a clinical genetics laboratory in the United States. Results were reported by clinical molecular geneticists certified by the American Board of Medical Genetics and Genomics. Tests were ordered by the patient’s physician. The patients were primarily pediatric (1756 [88%]; mean age, 6 years; 888 females [44%], 1101 males [55%], and 11 fetuses [1% gender unknown]), demonstrating diverse clinical manifestations most often including nervous system dysfunction such as developmental delay. Main Outcomes and Measures Whole-exome sequencing diagnosis rate overall and by phenotypic category, mode of inheritance, spectrum of genetic events, and reporting of incidental findings. Results A molecular diagnosis was reported for 504 patients (25.2%) with 58% of the diagnostic mutations not previously reported. Molecular diagnosis rates for each phenotypic category were 143/526 (27.2%; 95% CI, 23.5%-31.2%) for the neurological group, 282/1147 (24.6%; 95% CI, 22.1%-27.2%) for the neurological plus other organ systems group, 30/83 (36.1%; 95% CI, 26.1%-47.5%) for the specific neurological group, and 49/244 (20.1%; 95% CI, 15.6%-25.8%) for the nonneurological group. The Mendelian disease patterns of the 527 molecular diagnoses included 280 (53.1%) autosomal dominant, 181 (34.3%) autosomal recessive (including 5 with uniparental disomy), 65 (12.3%) X-linked, and 1 (0.2%) mitochondrial. Of 504 patients with a molecular diagnosis, 23 (4.6%) had blended phenotypes resulting from 2 single gene defects. About 30% of the positive cases harbored mutations in disease genes reported since 2011. There were 95 medically actionable incidental findings in genes unrelated to the phenotype but with immediate implications for management in 92 patients (4.6%), including 59 patients (3%) with mutations in genes recommended for reporting by the American College of Medical Genetics and Genomics. Conclusions and Relevance Whole-exome sequencing provided a potential molecular diagnosis for 25% of a large cohort of patients referred for evaluation of suspected genetic conditions, including detection of rare genetic events and new mutations contributing to disease. The yield of whole-exome sequencing may offer advantages over traditional molecular diagnostic approaches in certain patients.
1,168 citations
TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.
Abstract: To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
954 citations
Harvard University1, Yale University2, Broad Institute3, Baylor College of Medicine4, Beth Israel Deaconess Medical Center5, Wellcome Trust Sanger Institute6, Icahn School of Medicine at Mount Sinai7, University of Texas Health Science Center at Houston8, University of Illinois at Chicago9, University of Pennsylvania10, Vanderbilt University11, University of Pittsburgh12, Carnegie Mellon University13
TL;DR: This model is used to identify ∼1,000 genes that are significantly lacking in functional coding variation in non-ASD samples and are enriched for de novo loss-of-function mutations identified in ASD cases, suggesting that the role of de noVO mutations in ASDs might reside in fundamental neurodevelopmental processes.
Abstract: Mark Daly and colleagues present a statistical framework to evaluate the role of de novo mutations in human disease by calibrating a model of de novo mutation rates at the individual gene level. The mutation probabilities defined by their model and list of constrained genes can be used to help identify genetic variants that have a significant role in disease.
952 citations
Cleveland Clinic1, MedStar Washington Hospital Center2, University of Texas Health Science Center at Houston3, University of Pennsylvania4, Harvard University5, McMaster University6, McGill University7, University of Padua8, European Institute of Oncology9, University of Chicago10, Oslo University Hospital11, Temple University12, University of Liège13, Memorial Sloan Kettering Cancer Center14, Menzies Research Institute15, Mayo Clinic16
TL;DR: The non-invasive evaluation of LVEF has gained importance, and notwithstanding the limitations of the techniques used for its calculation, has emerged as the most widely used strategy for monitoring the changes in cardiac function, both during and after the administration of potentially cardiotoxic cancer treatment.
Abstract: ### A. Definition, classification, and mechanisms of toxicity
Cardiac dysfunction resulting from exposure to cancer therapeutics was first recognized in the 1960s, with the widespread introduction of anthracyclines into the oncological therapeutic armamentarium.1 Heart failure (HF) associated with anthracyclines was then recognized as an important side effect. As a result, physicians learned to limit their doses to avoid cardiac dysfunction.2 Several strategies have been used over the past decades to detect it. Two of them evolved over time to be very useful: endomyocardial biopsies and monitoring of left ventricular (LV) ejection fraction (LVEF) by cardiac imaging. Examination of endomyocardial biopsies proved to be the most sensitive and specific parameter for the identification of anthracycline-induced LV dysfunction and became the gold standard in the 1970s. However, the interest in endomyocardial biopsy has diminished over time because of the reduction in the cumulative dosages used to treat malignancies, the invasive nature of the procedure, and the remarkable progress made in non-invasive cardiac imaging. The non-invasive evaluation of LVEF has gained importance, and notwithstanding the limitations of the techniques used for its calculation, has emerged as the most widely used strategy for monitoring the changes in cardiac function, both during and after the administration of potentially cardiotoxic cancer treatment.3–5
The timing of LV dysfunction can vary among agents. In the case of anthracyclines, the damage occurs immediately after the exposure;6 for others, the time frame between drug administration and detectable cardiac dysfunction appears to be more variable. Nevertheless, the heart has significant cardiac reserve, and the expression of damage in the form of alterations in systolic or diastolic parameters may not be overt until a substantial amount of cardiac reserve has been exhausted. Thus, cardiac damage may not become apparent until years or even decades after receiving the cardiotoxic treatment. This is particularly applicable to …
920 citations
University of Texas Health Science Center at Houston1, Harvard University2, Broad Institute3, University of Wisconsin–Milwaukee4, University of Washington5, Washington University in St. Louis6, University of North Carolina at Chapel Hill7, Icahn School of Medicine at Mount Sinai8, University of Michigan9, Lund University10, University of Leicester11, Queen Mary University of London12, University of Oxford13, University of Milan14, University of Verona15, Merck & Co.16, National Institutes of Health17, Levanger Hospital18, Norwegian University of Science and Technology19, University of Ottawa20, Stanford University21, University of Iowa22, George Washington University23, Umeå University24, University of Dundee25, Cambridge University Hospitals NHS Foundation Trust26, Technische Universität München27, University of Kiel28, University of Lübeck29, University of Bonn30, Group Health Cooperative31, Houston Methodist Hospital32, Baylor College of Medicine33, IMDEA34, Tufts University35, University of Leeds36, Wellcome Trust Sanger Institute37, King Abdulaziz University38, University of Mississippi39, Fred Hutchinson Cancer Research Center40, University of Virginia41, University of Vermont42, Boston University43
TL;DR: Rare mutations that disrupt AP OC3 function were associated with lower levels of plasma triglycerides and APOC3, and carriers of these mutations were found to have a reduced risk of coronary heart disease.
Abstract: Background Plasma triglyceride levels are heritable and are correlated with the risk of coronary heart disease. Sequencing of the protein-coding regions of the human genome (the exome) has the potential to identify rare mutations that have a large effect on phenotype. Methods We sequenced the protein-coding regions of 18,666 genes in each of 3734 participants of European or African ancestry in the Exome Sequencing Project. We conducted tests to determine whether rare mutations in coding sequence, individually or in aggregate within a gene, were associated with plasma triglyceride levels. For mutations associated with triglyceride levels, we subsequently evaluated their association with the risk of coronary heart disease in 110,970 persons. Results An aggregate of rare mutations in the gene encoding apolipoprotein C3 (APOC3) was associated with lower plasma triglyceride levels. Among the four mutations that drove this result, three were loss-of-function mutations: a nonsense mutation (R19X) and two splice-site mutations (IVS2+1G→A and IVS3+1G→T). The fourth was a missense mutation (A43T). Approximately 1 in 150 persons in the study was a heterozygous carrier of at least one of these four mutations. Triglyceride levels in the carriers were 39% lower than levels in noncarriers (P<1×10 − 20 ), and circulating levels of APOC3 in carriers were 46% lower than levels in noncarriers (P = 8×10 − 10 ). The risk of coronary heart disease among 498 carriers of any rare APOC3 mutation was 40% lower than the risk among 110,472 noncarriers (odds ratio, 0.60; 95% confidence interval, 0.47 to 0.75; P = 4×10 − 6 ). Conclusions Rare mutations that disrupt APOC3 function were associated with lower levels of plasma triglycerides and APOC3. Carriers of these mutations were found to have a reduced risk of coronary heart disease. (Funded by the National Heart, Lung, and Blood Institute and others.)
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.
Abstract: The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.
Emory University1, University of California, San Francisco2, University of California, San Diego3, Baylor College of Medicine4, University of Minnesota5, Virginia Commonwealth University6, Rush University Medical Center7, Texas Tech University8, Duke University9, Harvard University10, University of Texas Health Science Center at Houston11, National Institutes of Health12
TL;DR: In this paper, early hospital care, hospital discharge, and post-hospital discharge care are recommended for Acs, based on myocardial revascularization and initial evaluation and management.
University of Texas Health Science Center at Houston1, Université de Montréal2, Memorial Sloan Kettering Cancer Center3, Thomas Jefferson University4, University of Alabama at Birmingham5, University of California, San Francisco6, Wayne State University7, Washington University in St. Louis8, University of South Florida9, Emory University10, University of Louisville11
TL;DR: Adding cetuximab to radiation-cisplatin did not improve outcome and hence should not be prescribed routinely, and the PFS and OS were higher in patients with p16-positive OPC, but outcomes did not differ by EGFR expression.
Abstract: Purpose Combining cisplatin or cetuximab with radiation improves overall survival (OS) of patients with stage III or IV head and neck carcinoma (HNC). Cetuximab plus platinum regimens also increase OS in metastatic HNC. The Radiation Therapy Oncology Group launched a phase III trial to test the hypothesis that adding cetuximab to the radiation-cisplatin platform improves progression-free survival (PFS). Patients and methods Eligible patients with stage III or IV HNC were randomly assigned to receive radiation and cisplatin without (arm A) or with (arm B) cetuximab. Acute and late reactions were scored using Common Terminology Criteria for Adverse Events (version 3). Outcomes were correlated with patient and tumor features and markers. Results Of 891 analyzed patients, 630 were alive at analysis (median follow-up, 3.8 years). Cetuximab plus cisplatin-radiation, versus cisplatin-radiation alone, resulted in more frequent interruptions in radiation therapy (26.9% v. 15.1%, respectively); similar cisplatin delivery (mean, 185.7 mg/m2 v. 191.1 mg/m2, respectively); and more grade 3 to 4 radiation mucositis (43.2% v. 33.3%, respectively), rash, fatigue, anorexia, and hypokalemia, but not more late toxicity. No differences were found between arms A and B in 30-day mortality (1.8% v. 2.0%, respectively; P = .81), 3-year PFS (61.2% v. 58.9%, respectively; P = .76), 3-year OS (72.9% v. 75.8%, respectively; P = .32), locoregional failure (19.9% v. 25.9%, respectively; P = .97), or distant metastasis (13.0% v. 9.7%, respectively; P = .08). Patients with p16-positive oropharyngeal carcinoma (OPC), compared with patients with p16-negative OPC, had better 3-year probability of PFS (72.8% v. 49.2%, respectively; P Conclusion Adding cetuximab to radiation-cisplatin did not improve outcome and hence should not be prescribed routinely. PFS and OS were higher in patients with p16-positive OPC, but outcomes did not differ by EGFR expression.
University of Texas MD Anderson Cancer Center1, University of North Carolina at Chapel Hill2, University of Colorado Denver3, University of Nebraska Medical Center4, Texas A&M University5, University of Houston–Downtown6, University of California, San Francisco7, University of Manchester8, University of Texas Health Science Center at Houston9
TL;DR: It is shown that mouse Muc5b (but not MUC5ac) is required for MCC, for controlling infections in the airways and middle ear, and for maintaining immune homeostasis in mouse lungs, whereas Muc 5ac is dispensable.
Abstract: Respiratory surfaces are exposed to billions of particulates and pathogens daily. A protective mucus barrier traps and eliminates them through mucociliary clearance (MCC). However, excessive mucus contributes to transient respiratory infections and to the pathogenesis of numerous respiratory diseases. MUC5AC and MUC5B are evolutionarily conserved genes that encode structurally related mucin glycoproteins, the principal macromolecules in airway mucus. Genetic variants are linked to diverse lung diseases, but specific roles for MUC5AC and MUC5B in MCC, and the lasting effects of their inhibition, are unknown. Here we show that mouse Muc5b (but not Muc5ac) is required for MCC, for controlling infections in the airways and middle ear, and for maintaining immune homeostasis in mouse lungs, whereas Muc5ac is dispensable. Muc5b deficiency caused materials to accumulate in upper and lower airways. This defect led to chronic infection by multiple bacterial species, including Staphylococcus aureus, and to inflammation that failed to resolve normally. Apoptotic macrophages accumulated, phagocytosis was impaired, and interleukin-23 (IL-23) production was reduced in Muc5b(-/-) mice. By contrast, in mice that transgenically overexpress Muc5b, macrophage functions improved. Existing dogma defines mucous phenotypes in asthma and chronic obstructive pulmonary disease (COPD) as driven by increased MUC5AC, with MUC5B levels either unaffected or increased in expectorated sputum. However, in many patients, MUC5B production at airway surfaces decreases by as much as 90%. By distinguishing a specific role for Muc5b in MCC, and by determining its impact on bacterial infections and inflammation in mice, our results provide a refined framework for designing targeted therapies to control mucin secretion and restore MCC.
TL;DR: In this article, the causal role of alcohol consumption in cardiovascular disease was investigated using a Mendelian randomisation meta-analysis of 56 epidemiological studies, including 20 259 coronary heart disease cases and 10 164 stroke events.
Abstract: OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies. PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.
University of California, San Francisco1, Washington University in St. Louis2, Rush University Medical Center3, Harvard University4, Jacobi Medical Center5, University of Pennsylvania6, Brown University7, University of Southern California8, California Pacific Medical Center9, Oregon Health & Science University10, University of Utah11, Emory University12, University of California, Davis13, Group Health Cooperative14, University of Texas Health Science Center at Houston15, Hennepin County Medical Center16, University of Texas at Austin17
TL;DR: Initial ultrasonography was associated with lower cumulative radiation exposure than initial CT, without significant differences in high-risk diagnoses with complications, serious adverse events, pain scores, return emergency department visits, hospitalizations, or hospitalizations.
Abstract: Background There is a lack of consensus about whether the initial imaging method for patients with suspected nephrolithiasis should be computed tomography (CT) or ultrasonography. Methods In this multicenter, pragmatic, comparative effectiveness trial, we randomly assigned patients 18 to 76 years of age who presented to the emergency department with suspected nephrolithiasis to undergo initial diagnostic ultrasonography performed by an emergency physician (point-of-care ultrasonography), ultrasonography performed by a radiologist (radiology ultrasonography), or abdominal CT. Subsequent management, including additional imaging, was at the discretion of the physician. We compared the three groups with respect to the 30-day incidence of high-risk diagnoses with complications that could be related to missed or delayed diagnosis and the 6-month cumulative radiation exposure. Secondary outcomes were serious adverse events, related serious adverse events (deemed attributable to study participation), pain (assess...
TL;DR: Teriflunomide 14 mg was associated with a lower relapse rate and less disability accumulation compared with placebo, with a similar safety and tolerability profile to that reported in previous studies.
Abstract: Summary Background Teriflunomide is an oral disease-modifying therapy approved for treatment of relapsing or relapsing–remitting multiple sclerosis. We aimed to provide further evidence for the safety and efficacy of teriflunomide in patients with relapsing multiple sclerosis. Methods This international, randomised, double-blind, placebo-controlled, phase 3 study enrolled adults aged 18–55 years with relapsing multiple sclerosis, one or more relapse in the previous 12 months or two or more in the previous 24 months but no relapse in the previous 30 days, and an Expanded Disability Status Scale (EDSS) score of 5·5 points or less. Patients were recruited from 189 sites in 26 countries and randomly assigned (1:1:1) to once-daily placebo, teriflunomide 7 mg, or teriflunomide 14 mg via an interactive voice recognition system. Treatment duration was variable, ending 48 weeks after the last patient was included. The primary endpoint was annualised relapse rate (number of relapses per patient-year) and the key secondary endpoint was time to sustained accumulation of disability (an EDSS score increase of at least 1 EDSS point sustained for a minimum of 12 weeks), both analysed in the modified intention-to-treat population (all patients who received at least one dose of assigned study medication). This study is registered with ClinicalTrials.gov, number NCT00751881. Findings Between Sept 17, 2008, and Feb 17, 2011, 1169 patients were randomly assigned to a treatment group, of whom 388, 407, and 370 patients received at least one dose of placebo, teriflunomide 7 mg, or teriflunomide 14 mg, respectively. By the end of the study, the annualised relapse rate was higher in patients assigned to placebo (0·50 [95% CI 0·43–0·58]) than in those assigned to teriflunomide 14 mg (0·32 [0·27–0·38]; p=0·0001) or teriflunomide 7 mg (0·39 [0·33–0·46]; p=0·0183). Compared with placebo, teriflunomide 14 mg reduced the risk of sustained accumulation of disability (hazard ratio [HR] 0·68 [95% CI 0·47–1·00]; log-rank p=0·0442); however, teriflunomide 7 mg had no effect on sustained accumulation of disability (HR 0·95 [0·68–1·35]; log-rank p=0·7620). The most common adverse events were alanine aminotransferase increases (32 [8%] of 385 patients in the placebo group vs 46 [11%] of 409 patients in the teriflunomide 7 mg group vs 52 [14%] of 371 patients in the teriflunomide 14 mg group), hair thinning (17 [4%] vs 42 [10%] vs 50 [13%]), and headache (42 [11%] vs 60 [15%] vs 46 [12%]). Incidence of serious adverse events was similar in all treatment groups (47 [12%] vs 52 [13%] vs 44 [12%]). Four deaths occurred, none of which was considered to be related to study drug (respiratory infection in the placebo group, traffic accident in the teriflunomide 7 mg group, and suicide and septicaemia due to Gram-negative infection complicated by disseminated intravascular coagulopathy in the teriflunomide 14 mg group). Interpretation Teriflunomide 14 mg was associated with a lower relapse rate and less disability accumulation compared with placebo, with a similar safety and tolerability profile to that reported in previous studies. These results confirm the dose effect reported in previous trials and support the use of teriflunomide 14 mg in patients with relapsing multiple sclerosis. Funding Genzyme, a Sanofi company.
Harvard University1, Broad Institute2, Universidad Autónoma Metropolitana3, National Autonomous University of Mexico4, Universidad Autónoma de Nuevo León5, Massachusetts Institute of Technology6, University of Southern California7, Mexican Social Security Institute8, University of Hawaii at Manoa9, Max Planck Society10, University of Minnesota11, University of California, San Francisco12, National University of Singapore13, University of Oxford14, University of Michigan15, Yeshiva University16, Texas Biomedical Research Institute17, Wake Forest University18, National Health Service19, Imperial College London20, Hallym University21, Hebrew University of Jerusalem22, Wolfson Medical Center23, University of Texas Health Science Center at Houston24, University of Eastern Finland25, Agency for Science, Technology and Research26, University of Mississippi27, University of Texas Health Science Center at San Antonio28
TL;DR: Analysis in Mexican and Latin American individuals identified SLC16A11 as a novel candidate gene for type 2 diabetes with a possible role in triacylglycerol metabolism and an archaic genome sequence indicated that the risk haplotype introgressed into modern humans via admixture with Neanderthals.
Abstract: Performing genetic studies in multiple human populations can identify disease risk alleles that are common in one population but rare in others, with the potential to illuminate pathophysiology, health disparities, and the population genetic origins of disease alleles. Here we analysed 9.2 million single nucleotide polymorphisms (SNPs) in each of 8,214 Mexicans and other Latin Americans: 3,848 with type 2 diabetes and 4,366 non-diabetic controls. In addition to replicating previous findings, we identified a novel locus associated with type 2 diabetes at genome-wide significance spanning the solute carriers SLC16A11 and SLC16A13 (P = 3.9 × 10(-13); odds ratio (OR) = 1.29). The association was stronger in younger, leaner people with type 2 diabetes, and replicated in independent samples (P = 1.1 × 10(-4); OR = 1.20). The risk haplotype carries four amino acid substitutions, all in SLC16A11; it is present at ~50% frequency in Native American samples and ~10% in east Asian, but is rare in European and African samples. Analysis of an archaic genome sequence indicated that the risk haplotype introgressed into modern humans via admixture with Neanderthals. The SLC16A11 messenger RNA is expressed in liver, and V5-tagged SLC16A11 protein localizes to the endoplasmic reticulum. Expression of SLC16A11 in heterologous cells alters lipid metabolism, most notably causing an increase in intracellular triacylglycerol levels. Despite type 2 diabetes having been well studied by genome-wide association studies in other populations, analysis in Mexican and Latin American individuals identified SLC16A11 as a novel candidate gene for type 2 diabetes with a possible role in triacylglycerol metabolism.
TL;DR: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases and reveals a general convergence of practices on most elements of the analysis and interpretation process.
Abstract: Background
There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance.
TL;DR: A population-based estimate suggests that diagnostic errors affect at least 1 in 20 US adults and should encourage policymakers, healthcare organisations and researchers to start measuring and reducing diagnostic errors.
Abstract: Background The frequency of outpatient diagnostic errors is challenging to determine due to varying error definitions and the need to review data across multiple providers and care settings over time. We estimated the frequency of diagnostic errors in the US adult population by synthesising data from three previous studies of clinic-based populations that used conceptually similar definitions of diagnostic error. Methods Data sources included two previous studies that used electronic triggers, or algorithms, to detect unusual patterns of return visits after an initial primary care visit or lack of follow-up of abnormal clinical findings related to colorectal cancer, both suggestive of diagnostic errors. A third study examined consecutive cases of lung cancer. In all three studies, diagnostic errors were confirmed through chart review and defined as missed opportunities to make a timely or correct diagnosis based on available evidence. We extrapolated the frequency of diagnostic error obtained from our studies to the US adult population, using the primary care study to estimate rates of diagnostic error for acute conditions (and exacerbations of existing conditions) and the two cancer studies to conservatively estimate rates of missed diagnosis
Veterans Health Administration1, Baylor University Medical Center2, University of Pennsylvania3, University of Toronto4, University of Colorado Denver5, University of California, San Diego6, University of Texas Health Science Center at Houston7, Yale University8, University of Rochester9, Emory University10, Virginia Commonwealth University11, Mayo Clinic12
TL;DR: Using multicenter study data in hospitalized decompensated infected cirrhosis patients, I‐ACLF defined by the presence of two or more organ failures using simple definitions is predictive of poor survival.
TL;DR: The article highlights “prostate carcinoma with overlapping features of small cell carcinoma and acinar adenocarcinoma” and “castrate-resistant prostate cancer with small cell cancer-like clinical presentation”.
Abstract: On July 31, 2013, the Prostate Cancer Foundation assembled a working committee on the molecular biology and pathologic classification of neuroendocrine (NE) differentiation in prostate cancer New clinical and molecular data emerging from prostate cancers treated by contemporary androgen deprivation
Medical University of Vienna1, Chapel Allerton Hospital2, University of California3, University of Amsterdam4, University of Münster5, University of Washington6, University of Texas Health Science Center at Houston7, University of Rochester Medical Center8, Charité9, National Autonomous University of Mexico10, Sofia University11, Oregon Health & Science University12, Ghent University Hospital13, Pierre-and-Marie-Curie University14, Chung Shan Medical University15, Leiden University Medical Center16
TL;DR: The task force defined the treatment target for SpA as remission or, alternatively, low disease activity, being aware that the evidence base is not strong and needs to be expanded by future research.
Abstract: Background Therapeutic targets have been defined for diseases like diabetes, hypertension or rheumatoid arthritis and adhering to them has improved outcomes. Such targets are just emerging for spondyloarthritis (SpA). Objective To define the treatment target for SpA including ankylosing spondylitis and psoriatic arthritis (PsA) and develop recommendations for achieving the target, including a treat-to-target management strategy. Methods Based on results of a systematic literature review and expert opinion, a task force of expert physicians and patients developed recommendations which were broadly discussed and voted upon in a Delphi-like process. Level of evidence, grade and strength of the recommendations were derived by respective means. The commonalities between axial SpA, peripheral SpA and PsA were discussed in detail. Results Although the literature review did not reveal trials comparing a treat-to-target approach with another or no strategy, it provided indirect evidence regarding an optimised approach to therapy that facilitated the development of recommendations. The group agreed on 5 overarching principles and 11 recommendations; 9 of these recommendations related commonly to the whole spectrum of SpA and PsA, and only 2 were designed separately for axial SpA, peripheral SpA and PsA. The main treatment target, which should be based on a shared decision with the patient, was defined as remission, with the alternative target of low disease activity. Follow-up examinations at regular intervals that depend on the patient9s status should safeguard the evolution of disease activity towards the targeted goal. Additional recommendations relate to extra-articular and extramusculoskeletal aspects and other important factors, such as comorbidity. While the level of evidence was generally quite low, the mean strength of recommendation was 9–10 (10: maximum agreement) for all recommendations. A research agenda was formulated. Conclusions The task force defined the treatment target as remission or, alternatively, low disease activity, being aware that the evidence base is not strong and needs to be expanded by future research. These recommendations can inform the various stakeholders about expert opinion that aims for reaching optimal outcomes of SpA.
Harvard University1, Broad Institute2, deCODE genetics3, University of Oxford4, University of Copenhagen5, University of Michigan6, Yeshiva University7, Texas Biomedical Research Institute8, Wake Forest University9, University of Southern Denmark10, Pfizer11, Imperial College London12, National Health Service13, Ealing Hospital14, Hallym University15, Lund University16, University of Helsinki17, University of Texas Health Science Center at Houston18, Norwegian University of Science and Technology19, Uppsala University20, University of Bergen21, Aalborg University22, Novo Nordisk23, University of Eastern Finland24, Technische Universität München25, University of North Carolina at Chapel Hill26, University of Liverpool27, National Institute for Health and Welfare28, National University of Singapore29, Agency for Science, Technology and Research30, University of Iceland31, Danube University Krems32, King Abdulaziz University33, University of Pennsylvania34, University of Mississippi35, Churchill Hospital36, Massachusetts Institute of Technology37
TL;DR: In this article, the authors identified 12 rare protein-truncating variants in SLC30A8, which encodes an islet zinc transporter (ZnT8) and harbors a common variant (p.Trp325Arg) associated with T2D risk and glucose and proinsulin levels.
Abstract: Loss-of-function mutations protective against human disease provide in vivo validation of therapeutic targets, but none have yet been described for type 2 diabetes (T2D). Through sequencing or genotyping of ~150,000 individuals across 5 ancestry groups, we identified 12 rare protein-truncating variants in SLC30A8, which encodes an islet zinc transporter (ZnT8) and harbors a common variant (p.Trp325Arg) associated with T2D risk and glucose and proinsulin levels. Collectively, carriers of protein-truncating variants had 65% reduced T2D risk (P = 1.7 × 10(-6)), and non-diabetic Icelandic carriers of a frameshift variant (p.Lys34Serfs*50) demonstrated reduced glucose levels (-0.17 s.d., P = 4.6 × 10(-4)). The two most common protein-truncating variants (p.Arg138* and p.Lys34Serfs*50) individually associate with T2D protection and encode unstable ZnT8 proteins. Previous functional study of SLC30A8 suggested that reduced zinc transport increases T2D risk, and phenotypic heterogeneity was observed in mouse Slc30a8 knockouts. In contrast, loss-of-function mutations in humans provide strong evidence that SLC30A8 haploinsufficiency protects against T2D, suggesting ZnT8 inhibition as a therapeutic strategy in T2D prevention.
TL;DR: Lower mortality rates and shorter LOS despite a 27%-36% higher cost of care continues to justify the use of EVAR over OAR, and EVAR should be the preferred management of both ruptured and unruptured AAAs.
TL;DR: In patients with closed head injury, neither the administration of erythropoietin nor maintaining hemoglobin concentration of greater than 10 g/dL resulted in improved neurological outcome at 6 months, and these findings do not support either approach in this setting.
Abstract: Importance There is limited information about the effect of erythropoietin or a high hemoglobin transfusion threshold after a traumatic brain injury. Objective To compare the effects of erythropoietin and 2 hemoglobin transfusion thresholds (7 and 10 g/dL) on neurological recovery after traumatic brain injury. Design, Setting, and Participants Randomized clinical trial of 200 patients (erythropoietin, n = 102; placebo, n = 98) with closed head injury who were unable to follow commands and were enrolled within 6 hours of injury at neurosurgical intensive care units in 2 US level I trauma centers between May 2006 and August 2012. The study used a factorial design to test whether erythropoietin would fail to improve favorable outcomes by 20% and whether a hemoglobin transfusion threshold of greater than 10 g/dL would increase favorable outcomes without increasing complications. Erythropoietin or placebo was initially dosed daily for 3 days and then weekly for 2 more weeks (n = 74) and then the 24- and 48-hour doses were stopped for the remainder of the patients (n = 126). There were 99 patients assigned to a hemoglobin transfusion threshold of 7 g/dL and 101 patients assigned to 10 g/dL. Interventions Intravenous erythropoietin (500 IU/kg per dose) or saline. Transfusion threshold maintained with packed red blood cells. Main Outcomes and Measures Glasgow Outcome Scale score dichotomized as favorable (good recovery and moderate disability) or unfavorable (severe disability, vegetative, or dead) at 6 months postinjury. Results There was no interaction between erythropoietin and hemoglobin transfusion threshold. Compared with placebo (favorable outcome rate: 34/89 [38.2%; 95% CI, 28.1% to 49.1%]), both erythropoietin groups were futile (first dosing regimen: 17/35 [48.6%; 95% CI, 31.4% to 66.0%], P = .13; second dosing regimen: 17/57 [29.8%; 95% CI, 18.4% to 43.4%], P P = .28). There was a higher incidence of thromboembolic events for the transfusion threshold of 10 g/dL (22/101 [21.8%] vs 8/99 [8.1%] for the threshold of 7 g/dL, odds ratio, 0.32 [95% CI, 0.12 to 0.79], P = .009). Conclusions and Relevance In patients with closed head injury, neither the administration of erythropoietin nor maintaining hemoglobin concentration of greater than 10 g/dL resulted in improved neurological outcome at 6 months. The transfusion threshold of 10 g/dL was associated with a higher incidence of adverse events. These findings do not support either approach in this setting. Trial Registration clinicaltrials.gov Identifier:NCT00313716
TL;DR: CZP rapidly reduced the signs and symptoms of axSpA, with no new safety signals observed compared to the safety profile of CZP in RA, and similar improvements were observed across C ZP dosing regimens, and in AS and nr-axSpA patients.
Abstract: Objectives To evaluate the efficacy and safety of certolizumab pegol (CZP) after 24 weeks in RAPIDaxSpA (NCT01087762), an ongoing Phase 3 trial in patients with axial spondyloarthritis (axSpA), including patients with ankylosing spondylitis (AS) and nonradiographic axSpA (nr-axSpA). Methods Patients with active axSpA were randomised 1:1:1 to placebo, CZP 200 mg every 2 weeks (Q2W) or CZP 400 mg every 4 weeks (Q4W). In total 325 patients were randomised. Primary endpoint was ASAS20 (Assessment of SpondyloArthritis international Society 20) response at week 12. Secondary outcomes included change from baseline in Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), and Bath Ankylosing Spondylitis Metrology Index (BASMI) linear. Results Baseline disease activity was similar between AS and nr-axSpA. At week 12, ASAS20 response rates were significantly higher in CZP 200 mg Q2W and CZP 400 mg Q4W arms versus placebo (57.7 and 63.6 vs 38.3, p≤0.004). At week 24, combined CZP arms showed significant (p<0.001) differences in change from baseline versus placebo in BASFI (−2.28 vs −0.40), BASDAI (−3.05 vs −1.05), and BASMI (−0.52 vs −0.07). Improvements were observed as early as week 1. Similar improvements were reported with CZP versus placebo in both AS and nr-axSpA subpopulations. Adverse events were reported in 70.4% vs 62.6%, and serious adverse events in 4.7% vs 4.7% of All CZP versus placebo groups. No deaths or malignancies were reported. Conclusions CZP rapidly reduced the signs and symptoms of axSpA, with no new safety signals observed compared to the safety profile of CZP in RA. Similar improvements were observed across CZP dosing regimens, and in AS and nr-axSpA patients.
TL;DR: This work compared eight in silico tools on 2959 single nucleotide variants within splicing consensus regions (scSNVs) using receiver operating characteristic analysis and pre-computed ensemble scores for all potential scSNVs across the human genome, providing a whole genome level resource for identifying splice-altering sc SNVs discovered from large-scale sequencing studies.
Abstract: In silico tools have been developed to predict variants that may have an impact on pre-mRNA splicing. The major limitation of the application of these tools to basic research and clinical practice is the difficulty in interpreting the output. Most tools only predict potential splice sites given a DNA sequence without measuring splicing signal changes caused by a variant. Another limitation is the lack of large-scale evaluation studies of these tools. We compared eight in silico tools on 2959 single nucleotide variants within splicing consensus regions (scSNVs) using receiver operating characteristic analysis. The Position Weight Matrix model and MaxEntScan outperformed other methods. Two ensemble learning methods, adaptive boosting and random forests, were used to construct models that take advantage of individual methods. Both models further improved prediction, with outputs of directly interpretable prediction scores. We applied our ensemble scores to scSNVs from the Catalogue of Somatic Mutations in Cancer database. Analysis showed that predicted splice-altering scSNVs are enriched in recurrent scSNVs and known cancer genes. We pre-computed our ensemble scores for all potential scSNVs across the human genome, providing a whole genome level resource for identifying splice-altering scSNVs discovered from large-scale sequencing studies.
French Institute of Health and Medical Research1, Katholieke Universiteit Leuven2, Ben-Gurion University of the Negev3, German Cancer Research Center4, Istituto Superiore di Sanità5, University of Turin6, Georgia Regents University7, University of Oxford8, Cardiff University9, Oregon Health & Science University10, Yale University11, Cold Spring Harbor Laboratory12, University of Pennsylvania13, University of Burgundy14, Georgetown University15, National Institutes of Health16, University of Miami17, Icahn School of Medicine at Mount Sinai18, GlaxoSmithKline19, University of Paris20, Centre national de la recherche scientifique21, Heidelberg University22, University of Pittsburgh23, Karolinska Institutet24, Hamad Medical Corporation25, University of Sheffield26, Centre Hospitalier Universitaire de Toulouse27, University of Lausanne28, University of Milan29, University of Navarra30, Leiden University31, University of Texas Health Science Center at Houston32, Istituto Giannina Gaslini33, Roswell Park Cancer Institute34, University of California, San Francisco35, Northwestern University36, Johns Hopkins University37, Thomas Jefferson University38, Main Line Health39, University of Buenos Aires40, Memorial Sloan Kettering Cancer Center41, University of Chicago42, Martin Luther University of Halle-Wittenberg43, Mie University44, University of Lisbon45, University of Queensland46, QIMR Berghofer Medical Research Institute47, Ludwig Institute for Cancer Research48, University of Connecticut49, University of Nebraska Medical Center50, Université catholique de Louvain51, Mayo Clinic52, Technische Universität München53, University of South Florida54, Cornell University55, University of Michigan56
TL;DR: A critical, integrated classification of anticancer immunotherapies is proposed and the clinical relevance of these approaches is discussed.
Abstract: During the past decades, anticancer immunotherapy has evolved from a promising therapeutic option to a robust clinical reality. Many immunotherapeutic regimens are now approved by the US Food and Drug Administration and the European Medicines Agency for use in cancer patients, and many others are being investigated as standalone therapeutic interventions or combined with conventional treatments in clinical studies. Immunotherapies may be subdivided into "passive" and "active" based on their ability to engage the host immune system against cancer. Since the anticancer activity of most passive immunotherapeutics (including tumor-targeting monoclonal antibodies) also relies on the host immune system, this classification does not properly reflect the complexity of the drug-host-tumor interaction. Alternatively, anticancer immunotherapeutics can be classified according to their antigen specificity. While some immunotherapies specifically target one (or a few) defined tumor-associated antigen(s), others operate in a relatively non-specific manner and boost natural or therapy-elicited anticancer immune responses of unknown and often broad specificity. Here, we propose a critical, integrated classification of anticancer immunotherapies and discuss the clinical relevance of these approaches.