1,721,103 research outputs found
Proteomic approaches in colon cancer: promising tools for new cancer markers and drug targets discovery
No full textNovel technologies are needed from which to identify new and more efficient biomarkers and improved molecular targets for the expedient and accurate diagnosis and treatment of colorectal cancer. Many advances have been made in direct and virtual imaging for detection of polyps and malignant-type lesions. These require tissue verification before definitive intervention. Inclusion of a simple serum test, more accurate than CEA, especially for early cancer detection, would make virtual imaging much more successful. Proteomics, the study of the proteins and protein pathways involved in disease, is a new dimension in preclinical and clinical development. Mass spectrometric analysis of serum proteins has been shown to be a fast and simple approach yielding a large datastream of information to mine for biomarker patterns. Preliminary studies in a variety of cancers has shown this to be a promising direction. Protein arrays of tumor lysates allows assessment of expression and activation of proteins that may be specific colorectal cancer targets or targets that are shown to be universally important in cancer, such as those proteins involved in angiogenesis. Small quantities of tumor are needed for this technique and allow direct analysis of the biochemical events ongoing in the tumor and/or the stroma. This provides insight into the biology of the disease and can be used to identify targets for therapeutic intervention as well as to monitor the ability to successfully attack those targets. Together, these 2 technologies have been shown to advance the field and may be important new steps in diagnosis, prognosis, and treatment of colorectal cancer
Host cytokines affect the metastatic potential of colorectal carcinoma (CRC) in patients and mice
No full text(Abstracts C 4.3
-174 G>C polymorphism of interleukin 6 gene promoter affects interleukin 6 serum level in patients with colorectal cancer
No full textI.F.:5,991
Abstract: Purpose: Experimental data suggest that interleukin 6 (IL-6) plays an important role in the development and progression of metastasis from colorectal cancer (CRC), and -174 G>C polymorphism has been identified recently in the IL-6 gene promoter. Therefore, the aim of the present study was to investigate the significance of this type of polymorphism in patients with CRC.
Experimental Design: Using enzyme immunoassay, IL-6 concentrations were measured in preoperative serum samples from 65 stage I-IV CRC patients. DNA was extracted from peripheral blood mononuclear cells, and -174 G>C polymorphism detected using PCR, followed by NlaIII restriction enzyme digestion and electrophoresis.
Results: The median IL-6 serum level was 0.14 pg/ml in patients with stage I-III disease versus 0.41 pg/ml in patients with stage IV disease (P C locus as C + (CC and CG) and C - (GG), a significant association was observed between the type of polymorphism and IL-6 serum level: the median value for IL-6 was 0.14 pg/ml in C + patients (n = 32) and 0.32 pg/ml in C - patients (n = 30; P = 0.034). Moreover, in patients with hepatic metastasis the median level of IL-6 was 0.23 pg/ml in C+ patients (n = 9) and 0.96 pg/ml in C- patients (n = 9; P = 0.004).
Conclusions: In patients with CRC, the -174 G>C polymorphism status of the IL-6 gene promoter affects the IL-6 serum level, particularly in the presence of hepatic metastasi
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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