Validation of survivin and HMGA2 as biomarkers for cisplatin resistance in bladder cancer

验证 survivin 和 HMGA2 作为膀胱癌顺铂耐药的生物标志物

阅读:6
作者:Ulrich Krafft, Stephan Tschirdewahn, Jochen Hess, Nina N Harke, Boris Hadaschik, Csilla Olah, Susanne Krege, Peter Nyirády, Attila Szendröi, Miklós Szücs, Orsolya Módos, Eszter Székely, Henning Reis, Tibor Szarvas

Conclusions

Our results demonstrate that survivin represents a promising marker for the prediction of cisplatin resistance in BC. In addition the therapy predictive role of HMGA2 should be further investigated. Immunohistochemical analysis of BC samples provides a feasible way for the prediction of cisplatin-resistance and may therefore provide a valuable tool for optimizing treatment decisions in advanced BC.

Methods

Emmprin, survivin, HMGA2, MTA1, RhoGDI, PEG10, TGM2, and TLN1 expressions were analyzed in paraffin-embedded bladder cancer tissue samples of 106 patients who underwent adjuvant or salvage cisplatin-based chemotherapy by using immunohistochemistry.

Results

Higher HMGA2 nuclear staining intensity and positive survivin nuclear staining were associated with worse overall survival (OS) (P = 0.045 and P = 0.002, respectively). In accordance, survivin nuclear staining also significantly correlated with shorter progression free survival (PFS, P = 0.024), while HMGA2 nuclear positivity tended to correlate with shorter PFS (P = 0.069) after at least 2 cycles of chemotherapy. In the multivariable analyses only survivin remained as an independent predictor of both OS and PFS (P = 0.008 and P = 0.025). None of the other markers proved to be significant predictors of adjuvant or salvage cisplatin-based chemotherapy. Conclusions: Our results demonstrate that survivin represents a promising marker for the prediction of cisplatin resistance in BC. In addition the therapy predictive role of HMGA2 should be further investigated. Immunohistochemical analysis of BC samples provides a feasible way for the prediction of cisplatin-resistance and may therefore provide a valuable tool for optimizing treatment decisions in advanced BC.

特别声明

1、本文转载旨在传播信息,不代表本网站观点,亦不对其内容的真实性承担责任。

2、其他媒体、网站或个人若从本网站转载使用,必须保留本网站注明的“来源”,并自行承担包括版权在内的相关法律责任。

3、如作者不希望本文被转载,或需洽谈转载稿费等事宜,请及时与本网站联系。

4、此外,如需投稿,也可通过邮箱info@biocloudy.com与我们取得联系。