34 research outputs found

    Increased E-selectin in hepatic ischemia-reperfusion injury mediates liver metastasis of pancreatic cancer

    Get PDF
    金沢大学医薬保健研究域医学系Several recent studies have reported that selectins are produced during ischemia-reperfusion injury, and that selectin ligands play an important role in cell binding to the endothelium and in liver metastasis. Portal clamping during pancreaticoduodenectomy with vessel resection for pancreatic head cancer causes hepatic ischemia-reperfusion injury, which might promote liver metastasis. We investigated the liver colonization of pancreatic cancer cells under hepatic ischemia-reperfusion and examined the involvement of E-selectin and its ligands. A human pancreatic cancer cell line (Capan-1) was injected into the spleen of mice after hepatic ischemia-reperfusion (I/R group). In addition, to investigate the effect of an anti-E-selectin antibody on liver colonization in the IR group, mice received an intraperitoneal injection of the anti-E-selectin antibody following hepatic ischemia-reperfusion and tumor inoculation (IR+Ab group). Four weeks later, mice were sacrificed and the number of tumor nodules on the liver was compared to mice without hepatic ischemia-reperfusion (control group). The incidence of liver metastasis in the I/R group was significantly higher (16 of 20, 80%) than that in the control group (6 of 20, 30%) (P<0.01). Moreover, mice in the I/R group had significantly more tumor nodules compared to those in the control group (median, 9.9 vs. 2.7 nodules) (P<0.01). In the I/R+Ab group, only 2 of 5 (40%) mice developed liver metastases. RT-PCR and southern blotting of the liver extracts showed that the expression of IL-1 and E-selectin mRNA after hepatic ischemia-reperfusion was significantly higher than the basal levels. Hepatic ischemia-reperfusion increases liver metastases and E-selectin expression in pancreatic cancer. These results suggest that E-selectin produced due to hepatic ischemia-reperfusion is involved in liver metastasis.Embargo Period 6 month

    Rapid and Sensitive Detection of Physical Status of Human Papillomavirus Type 16 DNA by Quantitative Real-Time PCR

    No full text
    A rapid quantitative real-time PCR method was employed to quantify the copy number of E2 and E6 genes for analysis of the physical status of human papillomavirus type 16 (HPV-16) DNA. Significant differences with respect to both copy numbers were found when more than 40% of HPV-16 DNA was integrated with disruption of the E2 gene in an experimental model. The physical status of HPV-16 DNA in 50 clinical samples was exclusively episomal in 21 cases (42%), concomitant in 14 cases (28%), and integrated in 15 cases (30%). The prevalence of integrated and/or concomitant forms of HPV-16 DNA increased with progression of cervical disease. Four of 11 cervical intraepithelial neoplasia involved integrated forms of HPV-16 DNA partially or exclusively. This rapid, sensitive technique is useful in the analysis of the physical status of HPV DNA

    Semi-Automatic Construction of Metadata from A Series of Web Documents

    No full text
    Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The method uses Web pages that are located in a site and are linked from a listing page. Web pages of recipes, real estates, used cars, hotels and syllabi are typical examples of such pages. We call them a series of Web documents. A series of Web pages have the same appearance when a user views them with a browser, because it is often the case that they are written with the same tag pattern. The method uses the tag-pattern as the common structure of the Web pages. Individual contents of the pages appear as plain texts embedded between two consecutive tags. If we remove the tags, it becomes a sequence of plain texts. The plain texts in the same relative position can be interpreted as attribute values if we presume that the pages represent records of the same kind. Most of these plain texts in the same position vary page to page. But, it may happen that the same texts show up at the same relative position in almost all pages. These constant texts can be considered as attribute names. “Location”, “Rating” and “Travel from Airport” are examples of such constant texts for pages of hotel information. If the frequency of a text is higher than a threshold, we accept it as a component of metadata. If we mark a constant text with “N” and a variable text with “V”, the sequence of plain texts forms a series of N’s and V’s. A page in a series contain two kinds of NV sequence pattern. The first pattern is (NV )n, which we call vertical, where an attribute value follows the attribute name immediately. The second pattern is NnV n, which we call horizontal, where names occur in the first row and the same number of values follow in the next row. Thus we can understand the meaning of values and can construct records from a series of Web pages.AI 2003: Advances in Artificial Intelligence, 16th Australian Conference on Artificial Intelligence, Perth, Australia, December 3-5, 200
    corecore