• Title of article

    High expression of heparanase-2 is an independent prognostic parameter for favorable survival in gastric cancer patients

  • Author/Authors

    Zhang، نويسنده , , Xiaogang and Xu، نويسنده , , Shu and Tan، نويسنده , , Qinxiang and Liu، نويسنده , , Longgen، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    4
  • From page
    1010
  • To page
    1013
  • Abstract
    Aim: Heparanase-2 expression has been suggested to up-regulate in several types of human cancers. However, the expression patterns of heparanase-2 in gastric cancer and its effect on prognosis of gastric cancer patients are unclear. Methods: In this study, the methods of tissue microarray, immunohistochemistry (IHC), and western blot were used to investigate heparanase-2 expression in gastric cancer and the adjacent non-cancerous tissues. Heparanase-2 expression was analyzed by immunohistochemistry in 95 clinicopathologically characterized gastric cancer cases. In addition Fisherʹs exact test, Kaplan–Meier plots and Cox proportional hazards regression model were used to analyze the results. Results: High expression of cytoplasmic heparanase-2 was observed in 70.5% (67/95) of gastric cancer, when compared with its normal counterpart. Overexpression of heparanase-2 was correlated with tumor size and differentiation (P < 0.05). Further analysis showed that a significant correlation between high expression of heparanase-2 and favorable prognosis (P < 0.05). In multivariate analysis, high expression of heparanase-2 was evaluated as an independent prognostic factor in gastric cancer (P < 0.05). sions ta suggest for the first time that the high expression of heparanase-2 is associated significantly with tumor growth and differentiation. Importantly, heparanase-2 may be a potential molecular marker for predicting prognosis of gastric cancer.
  • Keywords
    Heparanase-2 , immunohistochemistry , Prognosis , Gastric cancer
  • Journal title
    Cancer Epidemiology
  • Serial Year
    2013
  • Journal title
    Cancer Epidemiology
  • Record number

    1766627