Stanniocalcin 2 overexpression in castration-resistant prostate cancer and aggressive prostate cancer

去势抵抗性前列腺癌和侵袭性前列腺癌中Stanniocalcin 2过度表达

阅读:1

Abstract

Prostate cancer is usually androgen-dependent and responds well to androgen ablation therapy based on castration. However, at a certain stage some prostate cancers eventually acquire a castration-resistant phenotype where they progress aggressively and show very poor response to any anticancer therapies. To characterize the molecular features of these clinical castration-resistant prostate cancers, we previously analyzed gene expression profiles by genome-wide cDNA microarrays combined with microdissection and found dozens of trans-activated genes in clinical castration-resistant prostate cancers. Among them, we report the identification of a new biomarker, stanniocalcin 2, as an overexpressed gene in castration-resistant prostate cancer cells. Real-time polymerase chain reaction and immunohistochemical analysis confirmed overexpression of stanniocalcin 2, a 302-amino-acid glycoprotein hormone, specifically in castration-resistant prostate cancer cells and aggressive castration-naïve prostate cancers with high Gleason scores (8-10). The gene was not expressed in normal prostate, nor in most indolent castration-naïve prostate cancers. Knockdown of stanniocalcin 2 expression by short interfering RNA in a prostate cancer cell line resulted in drastic attenuation of prostate cancer cell growth. Concordantly, stanniocalcin 2 overexpression in a prostate cancer cell line promoted prostate cancer cell growth, indicating its oncogenic property. These findings suggest that stanniocalcin 2 could be involved in aggressive phenotyping of prostate cancers, including castration-resistant prostate cancers, and that it should be a potential molecular target for development of new therapeutics and a diagnostic biomarker for aggressive prostate cancers.

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。