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. 2015:2015:812815.
doi: 10.1155/2015/812815. Epub 2015 Feb 22.

The role of androgen receptor expression in the curative treatment of prostate cancer with radiotherapy: a pilot study

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The role of androgen receptor expression in the curative treatment of prostate cancer with radiotherapy: a pilot study

Filip Poelaert et al. Biomed Res Int. 2015.

Abstract

The androgen receptor (AR) and its signaling pathway play an important role in the development and progression of prostate cancer (PCa). In the setting of primary treatment of PCa with radiotherapy (RT), where the AR can be expected to be of more importance, studies evaluating the AR expression are lacking. The goal of this research is to evaluate AR protein expression in hormone-naive PCa patients treated by RT and investigate its possible prognostic role. Primary biopsy samples of 18 patients treated with primary RT were analyzed including the corresponding clinical information. AR protein expression of the tumor epithelium (with highest Gleason pattern) and the surrounding stroma was quantified using the Quick score for steroid receptors. The differential expression between epithelium and stroma, respectively, between tumor and normal tissue (ΔTumor - ΔBenign >2 versus ≤ 2), was predictive for clinical progression-free survival in the biopsy samples (P = 0.014). Preliminary results of this research show already a promising role of differential AR expression in predicting clinical relapse after PCa treatment with primary EBRT. Further research is needed to validate these findings. Hopefully this can lead to a better understanding of PCa evolution and eventually lead to better therapy strategies.

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Figures

Figure 1
Figure 1
ΔTumor − ΔBenign in the relapse group versus no relapse group, stratified according to pN stage.
Figure 2
Figure 2
Clinical progression-free survival subdivided by Quick score of the tumor stroma <2 versus ≥2, (a) for all biopsy samples and (b) for all IHC samples (18 biopsies + 5 prostatectomy specimens).
Figure 3
Figure 3
Clinical progression-free survival subdivided by ΔTumor − ΔBenign >2 versus ≤2 for all samples (1 missing value of normal stroma).
Figure 4
Figure 4
Clinical progression-free survival subdivided by ΔTumor − ΔBenign >2 versus ≤2 for all biopsy samples (1 missing value of normal stroma).
Figure 5
Figure 5
ROC-curve: representing the use of ΔTumor − ΔBenign as a prediction method for clinical relapse.

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