161 research outputs found

    Partial and Incremental PCMH Practice Transformation: Implications for Quality and Costs

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102699/1/hesr12085.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102699/2/hesr12085-sup-0002-AuthorMatrix.pd

    The Presentation of Temperature Information in Television Broadcasts: What is Normal?

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    In a typical weather broadcast, observed daily temperature information such as maximum and minimum temperatures are shown and compared to the daily average or “normal”. Such information, however, does not accurately describe whether or not that particular day is fairly typical for that time of year or truly an unusual occurrence. Thus it is suggested that the presentation of temperature information can be augmented with elementary statistical information in order to give a more meaningful presentation of temperature information without the need to explain the basis of such statistical information. A study of the climatological maximum and minimum temperatures over a 30-year period for Columbia, Missouri is performed in order to provide the rationale for displaying a "typical" temperature range. This information was incorporated into television weather broadcasts at KOMU TV-8, which is the campus television station and local NBC affiliate

    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

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    Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

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    Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

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    Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

    The additional value of TGFβ1 and IL-7 to predict the course of prostate cancer progression

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    Background: Given the fact that prostate cancer incidence will increase in the coming years, new prognostic biomarkers are needed with regard to the biological aggressiveness of the prostate cancer diagnosed. Since cytokines have been associated with the biology of cancer and its prognosis, we determined whether transforming growth factor beta 1 (TGFβ1), interleukin-7 (IL-7) receptor and IL-7 levels add additional prognostic information with regard to prostate cancer

    RAND appropriateness panel to determine the applicability of UK guidelines on the management of acute respiratory distress syndrome (ARDS) and other strategies in the context of the COVID-19 pandemic.

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    BACKGROUND: COVID-19 has become the most common cause of acute respiratory distress syndrome (ARDS) worldwide. Features of the pathophysiology and clinical presentation partially distinguish it from 'classical' ARDS. A Research and Development (RAND) analysis gauged the opinion of an expert panel about the management of ARDS with and without COVID-19 as the precipitating cause, using recent UK guidelines as a template. METHODS: An 11-person panel comprising intensive care practitioners rated the appropriateness of ARDS management options at different times during hospital admission, in the presence or absence of, or varying severity of SARS-CoV-2 infection on a scale of 1-9 (where 1-3 is inappropriate, 4-6 is uncertain and 7-9 is appropriate). A summary of the anonymised results was discussed at an online meeting moderated by an expert in RAND methodology. The modified online survey comprising 76 questions, subdivided into investigations (16), non-invasive respiratory support (18), basic intensive care unit management of ARDS (20), management of refractory hypoxaemia (8), pharmacotherapy (7) and anticoagulation (7), was completed again. RESULTS: Disagreement between experts was significant only when addressing the appropriateness of diagnostic bronchoscopy in patients with confirmed or suspected COVID-19. Adherence to existing published guidelines for the management of ARDS for relevant evidence-based interventions was recommended. Responses of the experts to the final survey suggested that the supportive management of ARDS should be the same, regardless of a COVID-19 diagnosis. For patients with ARDS with COVID-19, the panel recommended routine treatment with corticosteroids and a lower threshold for full anticoagulation based on a high index of suspicion for venous thromboembolic disease. CONCLUSION: The expert panel found no reason to deviate from the evidence-based supportive strategies for managing ARDS outlined in recent guidelines
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