Blar i forfatter "Holden, Marit"

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    • The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort 

      Jareid, Mie Linnea; Snapkov, Igor; Holden, Marit; Busund, Lill-Tove Rasmussen; Lund, Eiliv; Nøst, Therese Haugdahl (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-27)
      Epithelial ovarian cancer (EOC) has a 5-year relative survival of 50%, partly because markers of early-stage disease are not available in current clinical diagnostics. The aim of the present study was to investigate whether EOC is associated with transcriptional profiles in blood collected up to 7 years before diagnosis. For this, we used RNA-stabilized whole blood, which contains circulating immune ...

    • CD14 and complement crosstalk and largely mediate the transcriptional response to Escherichia coli in human whole blood as revealed by DNA microarray 

      Lau, Corinna; Nygård, Ståle; Fure, Hilde; Olstad, Ole Kristoffer; Holden, Marit; Lappegård, Knut Tore; Brekke, Ole Lars; Espevik, Terje; Hovig, Johannes Eivind; Mollnes, Tom Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-02-23)
      Systemic inflammation like in sepsis is still lacking specific diagnostic markers and effective therapeutics. The first line of defense against intruding pathogens and endogenous damage signals is pattern recognition by e.g., complement and Toll-like receptors (TLR). Combined inhibition of a key complement component (C3 and C5) and TLR-co-receptor CD14 has been shown to attenuate certain systemic ...

    • Each pregnancy linearly changes immune gene expression in the blood of healthy women compared with breast cancer patients 

      Lund, Eiliv; Nakamura, Aurelie; Snapkov, Igor; Thalabard, Jean-Christophe; Olsen, Karina Standahl; Holden, Lars; Holden, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-30)
      <p><i>Background</i>: There is a large body of evidence demonstrating long-lasting protective effect of each full-term pregnancy (FTP) on the development of breast cancer (BC) later in life, a phenomenon that could be related to both hormonal and immunological changes during pregnancies. In this work, we studied the pregnancy-associated differences in peripheral blood gene expression profiles between ...

    • Gene expression profiling of Gram-negative bacteria-induced inflammation in human whole blood: The role of complement and CD14-mediated innate immune response 

      Lau, Corinna; Olstad, Ole Kristoffer; Holden, Marit; Nygård, Ståle; Fure, Hilde; Lappegård, Knut Tore; Brekke, Ole Lars; Espevik, Terje; Hovig, Johannes Eivind; Mollnes, Tom Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-05-30)
      Non-sterile pathogen-induced sepsis and sterile inflammation like in trauma or ischemia–reperfusion injury may both coincide with the life threatening systemic inflammatory response syndrome and multi-organ failure. Consequently, there is an urgent need for specific biomarkers in order to distinguish sepsis from sterile conditions. The overall aim of this study was to uncover putative sepsis ...

    • The Genomic HyperBrowser: an analysis web server for genome-scale data 

      Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi; Holden, Lars; Holden, Marit; Liestøl, Knut; Nygård, Ståle; Nygaard, Vegard; Paulsen, Jonas; Rydbeck, Halfdan; Trengereid, Kai; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Kalaš, Matúš; Lien, Tonje Gulbrandsen; Rye, Morten Beck; Frigessi, Arnoldo; Hovig, Johannes Eivind (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way ...

    • Global blood gene expression profiles following a breast cancer diagnosis - Clinical follow-up in the NOWAC post-genome cohort 

      Olsen, Karina Standahl; Holden, Marit; Thalabard, Jean-Christophe; Busund, Lill-Tove Rasmussen; Lund, Eiliv; Holden, Lars (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-08)
      <i>Objective</i> - This explorative study aimed to assess if there are any time-dependent blood gene expression changes during the first one to eight years after breast cancer diagnosis, which can be linked to the clinical outcome of the disease.<br><br> <i>Material and methods</i> - A random distribution of follow-up time from breast cancer diagnosis till blood sampling was obtained by a nested, ...

    • Local In Time Statistics for detecting weak gene expression signals in blood – illustrated for prediction of metastases in breast cancer in the NOWAC Post-genome Cohort 

      Holden, Marit; Holden, Lars; Olsen, Karina Standahl; Lund, Eiliv (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-10)
      Background: Functional genomics in a processual analysis cover the time-dependent changes in transcriptomics and epigenetics before diagnosis of a disease, reflecting the changes in both life style and disease processes. The aim of this paper is to explore the dynamic, time-dependent mechanisms of the metastatic processes, using blood transcriptomics and including time in a continuous manner. For ...

    • A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle 

      Lund, Eiliv; Holden, Lars; Bøvelstad, Hege; Plancade, Sandra Caroline; Mode, Nicolle; Günther, Clara-Cecilie; Nuel, Gregory; Thalabard, Jean-Christophe; Holden, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-03-05)
      <b>Background: </b>The understanding of changes in temporal processes related to human carcinogenesis is limited. One approach for prospective functional genomic studies is to compile trajectories of differential expression of genes, based on measurements from many case-control pairs. We propose a new statistical method that does not assume any parametric shape for the gene trajectories. <br><b>Methods:</b> ...

    • Signals of Death - Post-Diagnostic Single Gene Expression Trajectories in Breast Cancer - A Proof of Concept 

      Lund, Eiliv; Holden, Marit; Thalabard, Jean-Christophe; Rasmussen Busund, Lill-Tove; Snapkov, Igor; Holden, Lars (Chapter; Bokkapittel, 2020-12-08)
      Using the time-dependent dynamics of gene expression from immune cells in blood, we aimed to explore single gene expression trajectories as biomarkers for death after a diagnosis of breast cancer introducing a new statistical method denoted Difference in Time Development Statistics (DTDS). This shows as proof of principle that the gene expression profiles from immune cells in blood differed in the ...

    • Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis 

      Nøst, Therese H.; Holden, Marit; Dønnem, Tom; Bøvelstad, Hege; Rylander, Charlotta; Lund, Eiliv; Sandanger, Torkjel M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-01)
      Recent studies have indicated that there are functional genomic signals that can be detected in blood years before cancer diagnosis. This study aimed to assess gene expression in prospective blood samples from the Norwegian Women and Cancer cohort focusing on time to lung cancer diagnosis and metastatic cancer using a nested case–control design. We employed several approaches to statistically analyze ...