Anillin actin-binding protein expression correlates with poor prognosis for prostate cancer patients

Anillin 肌动蛋白结合蛋白的表达与前列腺癌患者预后不良相关

阅读:6
作者:Shinichiro Yamamoto, Daisuke Obinata, Kenichi Takayama, Daigo Funakoshi, Kyoko Fujiwara, Makoto Hara, Satoru Takahashi, Satoshi Inoue

Conclusion

ANLN, which is a OCT1 target gene especially in castration-resistant PCa, is expressed in a small number of hormone-sensitive PCa cases. Both positive ANLN expression and high OCT1 expression are significantly correlated with poor prognosis for PCa patients.

Methods

Immunohistochemical staining for ANLN was performed on 86 PCa specimens, followed by evaluation using immunoreactivity (IR) scores. Prognosis was analyzed by the log-rank test using the Kaplan-Meier method to generate a cancer-specific survival curve. The correlations between ANLN IR and clinical parameters as well as OCT1 IR were analyzed using the Chi-squared test.

Objective

Octamer transcription factor 1 (OCT1), a transcription factor that interacts with androgen receptor, is involved in prostate cancer (PCa) progression. The OCT1 target gene, Anillin actin-binding protein (ANLN), is highly expressed in castration-resistant PCa tissue; however, it remains unclear whether ANLN expression in hormone-sensitive PCa tissue could be used as a predictive biomarker for poor prognosis of patients. We aimed to investigate ANLN expression in PCa tissue obtained via radical prostatectomy and its correlation with clinical parameters.

Results

The median IR score was 0 for ANLN. Accordingly, given the low median IR score, an IR score of ≥3 was defined as positive. There were 17 (19.8%) ANLN-positive cases, and these cases had a significantly poorer prognosis. Multivariate analysis revealed that the Gleason score, pathological tumor and lymph node stages, and positive ANLN expression were significant predictors of poor prognosis. Notably, patients with both positive ANLN and high OCT1 expression had a significantly decreased overall survival (p=0.001).

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。