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Mol Cancer Ther ; 4(11): 1662-9, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16275987

ABSTRACT

The current understanding of the response of androgen receptor to pharmacologic inhibitors in prostate cancer is derived primarily from serum prostate-specific antigen (PSA) levels. In this study, we test whether a novel androgen receptor-specific molecular imaging system is able to detect the action of the antiandrogen flutamide on androgen receptor function in xenograft models of prostate cancer. Adenoviruses bearing an optical imaging cassette containing an androgen receptor-responsive two-step transcriptional amplification system were injected into androgen-dependent and hormone-refractory tumors of animals undergoing systemic time-controlled release of the antiandrogen flutamide. Imaging of tumors with a cooled charge-coupled device camera revealed that the response of AdTSTA to flutamide is more sensitive and robust than serum PSA measurements. Flutamide inhibits the androgen signaling pathway in androgen-dependent but not refractory tumors. Analysis of androgen receptor and RNA polymerase II binding to the endogenous PSA gene by chromatin immunoprecipitation revealed that flutamide treatment and androgen withdrawal have different molecular mechanisms. The application of imaging technology to study animal models of cancer provides mechanistic insight into antiandrogen targeting of androgen receptor during disease progression.


Subject(s)
Flutamide/therapeutic use , Prostate-Specific Antigen/biosynthesis , Prostatic Neoplasms/pathology , Receptors, Androgen/physiology , Adenoviridae/genetics , Androgens/metabolism , Animals , Antineoplastic Agents, Hormonal/pharmacology , Binding Sites , Chromatin Immunoprecipitation , Disease Progression , Flutamide/pharmacology , Humans , Immunoblotting , Male , Mice , Neoplasm Transplantation , Neoplasms/metabolism , Prostate-Specific Antigen/metabolism , Prostatic Neoplasms/drug therapy , Protein Binding , Protein Structure, Tertiary , RNA Polymerase II/metabolism , Time Factors , Transcription, Genetic
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