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Evaluation of an in vitro model of androgen ablation and identification of the androgen responsive proteome in LNCaP cells
Author(s) -
Rowland John G.,
Robson Joanne L.,
Simon William J.,
Leung Hing Y.,
Slabas Antoni R.
Publication year - 2007
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200600697
Subject(s) - lncap , androgen , bicalutamide , prostate cancer , proteome , androgen receptor , biology , prostate , cancer research , endocrinology , medicine , cancer , bioinformatics , hormone
Proteins responsive to androgen and anti‐androgen may be involved in the development and progression of prostate cancer and the ultimate failure of androgen‐ablation therapy. These proteins represent potential diagnostic and therapeutic targets for improved management of prostate cancer. We have investigated the effect of androgen (R1881) and anti‐androgen (bicalutamide) on the androgen‐responsive prostate cancer LNCaP cell line using a quantitative gel‐based proteomic approach. Prior to analysis, the in vitro system was evaluated for reproducibility and validated by appropriate molecular responses to treatment. Six replicate samples were independently generated and analysed by 2‐D DIGE. According to strict statistical criteria, 197 spots were differentially expressed, of which we have successfully identified 165 spots corresponding to 125 distinct proteins. Following androgen supplementation, 108 spots (68 proteins) were increased and 57 spots (39 proteins) were decreased. Essentially no difference was observed between control and anti‐androgen‐treated samples, confirming the absence of “off‐target” effects of bicalutamide. Identified proteins were involved in diverse processes including the stress response and intracellular signalling. The potential contribution to disease of these processes and identified constituent proteins are discussed. This rigorous, statistically supported study of androgen responses has provided a number of potential candidates for development as diagnostic/prognostic markers and drug targets.