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  1. Article ; Online: Concordance of gene expression and functional correlation patterns across the NCI-60 cell lines and the Cancer Genome Atlas glioblastoma samples.

    Barry R Zeeberg / Kurt W Kohn / Ari Kahn / Vladimir Larionov / John N Weinstein / William Reinhold / Yves Pommier

    PLoS ONE, Vol 7, Iss 7, p e

    2012  Volume 40062

    Abstract: The NCI-60 is a panel of 60 diverse human cancer cell lines used by the U.S. National Cancer Institute to screen compounds for anticancer activity. We recently clustered genes based on correlation of expression profiles across the NCI-60. Many of the ... ...

    Abstract The NCI-60 is a panel of 60 diverse human cancer cell lines used by the U.S. National Cancer Institute to screen compounds for anticancer activity. We recently clustered genes based on correlation of expression profiles across the NCI-60. Many of the resulting clusters were characterized by cancer-associated biological functions. The set of curated glioblastoma (GBM) gene expression data from the Cancer Genome Atlas (TCGA) initiative has recently become available. Thus, we are now able to determine which of the processes are robustly shared by both the immortalized cell lines and clinical cancers.Our central observation is that some sets of highly correlated genes in the NCI-60 expression data are also highly correlated in the GBM expression data. Furthermore, a "double fishing" strategy identified many sets of genes that show Pearson correlation ≥0.60 in both the NCI-60 and the GBM data sets relative to a given "bait" gene. The number of such gene sets far exceeds the number expected by chance.Many of the gene-gene correlations found in the NCI-60 do not reflect just the conditions of cell lines in culture; rather, they reflect processes and gene networks that also function in vivo. A number of gene network correlations co-occur in the NCI-60 and GBM data sets, but there are others that occur only in NCI-60 or only in GBM. In sum, this analysis provides an additional perspective on both the utility and the limitations of the NCI-60 in furthering our understanding of cancers in vivo.
    Keywords Medicine ; R ; Science ; Q
    Subject code 612
    Language English
    Publishing date 2012-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain

    Giovanni Berardi / Laura Frey-Law / Kathleen A. Sluka / Emine O. Bayman / Christopher S. Coffey / Dixie Ecklund / Carol G. T. Vance / Dana L. Dailey / John Burns / Asokumar Buvanendran / Robert J. McCarthy / Joshua Jacobs / Xiaohong Joe Zhou / Richard Wixson / Tessa Balach / Chad M. Brummett / Daniel Clauw / Douglas Colquhoun / Steven E. Harte /
    Richard E. Harris / David A. Williams / Andrew C. Chang / Jennifer Waljee / Kathleen M. Fisch / Kristen Jepsen / Louise C. Laurent / Michael Olivier / Carl D. Langefeld / Timothy D. Howard / Oliver Fiehn / Jon M. Jacobs / Panshak Dakup / Wei-Jun Qian / Adam C. Swensen / Anna Lokshin / Martin Lindquist / Brian S. Caffo / Ciprian Crainiceanu / Scott Zeger / Ari Kahn / Tor Wager / Margaret Taub / James Ford

    Frontiers in Medicine, Vol

    The Acute to Chronic Pain Signatures (A2CPS) Study Protocol

    2022  Volume 9

    Abstract: Chronic pain has become a global health problem contributing to years lived with disability and reduced quality of life. Advances in the clinical management of chronic pain have been limited due to incomplete understanding of the multiple risk factors ... ...

    Abstract Chronic pain has become a global health problem contributing to years lived with disability and reduced quality of life. Advances in the clinical management of chronic pain have been limited due to incomplete understanding of the multiple risk factors and molecular mechanisms that contribute to the development of chronic pain. The Acute to Chronic Pain Signatures (A2CPS) Program aims to characterize the predictive nature of biomarkers (brain imaging, high-throughput molecular screening techniques, or “omics,” quantitative sensory testing, patient-reported outcome assessments and functional assessments) to identify individuals who will develop chronic pain following surgical intervention. The A2CPS is a multisite observational study investigating biomarkers and collective biosignatures (a combination of several individual biomarkers) that predict susceptibility or resilience to the development of chronic pain following knee arthroplasty and thoracic surgery. This manuscript provides an overview of data collection methods and procedures designed to standardize data collection across multiple clinical sites and institutions. Pain-related biomarkers are evaluated before surgery and up to 3 months after surgery for use as predictors of patient reported outcomes 6 months after surgery. The dataset from this prospective observational study will be available for researchers internal and external to the A2CPS Consortium to advance understanding of the transition from acute to chronic postsurgical pain.
    Keywords postsurgical pain ; thoracic surgery ; pain ; biomarker ; risk factors ; protocol ; Medicine (General) ; R5-920
    Subject code 616
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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