Stromal PDGFRbeta expression in prostate tumors and non-malignant prostate tissue predicts prostate cancer survival

前列腺肿瘤和非恶性前列腺组织中的基质 PDGFRbeta 表达可预测前列腺癌的生存率

阅读:7
作者:Christina Hägglöf, Peter Hammarsten, Andreas Josefsson, Pär Stattin, Janna Paulsson, Anders Bergh, Arne Ostman

Background

The identification of new prognostic markers for prostate cancer is highly warranted, since it is difficult to identify patients requiring curative treatment. Data from both experimental models and clinical samples have identified important functions of PDGFRbeta on pericytes and fibroblasts in the tumor stroma. Methodology/principal findings: In this study the prognostic significance of PDGFRbeta in prostate cancer stroma, and in matched non-malignant tissue, was evaluated with immunohistochemistry. PDGFRbeta expression was analyzed in normal and tumor stroma from more than 300 prostate cancer patients. High PDGFRbeta expression in tumor stroma was associated with large tumor size, advanced stage, high Gleason score and high vessel density. Perivascular PDGFRbeta staining in tumors was also correlated with high Gleason score. Correlations were also observed between PDGFRbeta status in tumor stroma and non-malignant stroma. Similarly, high PDGFRbeta expression in adjacent non-malignant tissue stroma correlated with large tumor size, advanced stage, high Gleason score and proliferation in non-malignant epithelium. Interestingly, high levels of PDGFRbeta in the stroma of tumor and non-malignant tissue were associated with shorter cancer specific survival in prostate cancer patients. Conclusions/significance: The study revealed a number of novel associations between stromal PDGFRbeta expression in prostate tumors and several important clinical characteristics, including survival.

Significance

The study revealed a number of novel associations between stromal PDGFRbeta expression in prostate tumors and several important clinical characteristics, including survival.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。