Literature DB >> 17205105

Proteomic analyses to identify novel therapeutic targets for the treatment of advanced prostate cancer.

Barbara Comuzzi1, Marianne D Sadar.   

Abstract

At present there is no cure for advanced prostate cancer once it progresses to an androgen independent stage. Hormonal therapy, radiotherapy, and chemotherapy all have limited durations of efficacy for men diagnosed with androgen independent disease and patients will succumb over a period of several months to two years. The androgen receptor (AR) has been suspected to play an important role in the mechanism of progression to androgen independence. This is because the AR is a transcription factor that 'normally' mediates the effects of androgen to regulate expression of genes involved in proliferation and survival of prostate cells. Thus identifying and characterizing the proteins that interact with the AR to facilitate an activated receptor is of critical importance. Proteomic approaches such as isotope-coded affinity tags (ICAT), isotope Tags for Relative and Absolute Quantification (iTRAQ)(TM), Stable Isotope Labeling with Amino acids in Cell culture (SILAC), Tandem Affinity Purification (TAP) of tagged proteins (TAP-tag) and Multidimensional Protein Identification Technology (MudPIT) provide large scale unbiased strategies and have not been previously applied to identify proteins that interact with the AR. Here an example of the power of these proteomic approaches to identify potential therapeutic targets for prostate cancer is provided. Application of MudPIT identified 82 peptides in endogenous complexes immunoprecipitated with the AR from prostate cancer cells. Identification of these novel proteins may ultimately lead to the development of better therapies for the treatment or prevention of advanced prostate cancer.

Entities:  

Year:  2006        PMID: 17205105      PMCID: PMC1762136          DOI: 10.1901/jaba.2006.3-61

Source DB:  PubMed          Journal:  Cellscience        ISSN: 1742-8130


  86 in total

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  7 in total

1.  Quantitative proteomic determination of diethylstilbestrol action on prostate cancer.

Authors:  Pierre Bigot; Kevin Mouzat; Souhil Lebdai; Muriel Bahut; Nora Benhabiles; Géraldine Cancel Tassin; Abdel-Rahmène Azzouzi; Olivier Cussenot
Journal:  Asian J Androl       Date:  2013-02-25       Impact factor: 3.285

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Journal:  Oncogene       Date:  2017-09-18       Impact factor: 9.867

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Journal:  Mol Biosyst       Date:  2012-06-14

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Journal:  Mol Cell Proteomics       Date:  2009-11-09       Impact factor: 5.911

Review 5.  Cancer proteomics by quantitative shotgun proteomics.

Authors:  Emily I Chen; John R Yates
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6.  Differential proteomics in the aging Noble rat ventral prostate.

Authors:  Ying Wai Lam; Neville N C Tam; James E Evans; Karin M Green; Xiang Zhang; Shuk-Mei Ho
Journal:  Proteomics       Date:  2008-07       Impact factor: 3.984

7.  Interaction between the transactivation domain of p53 and PC4 exemplifies acidic activation domains as single-stranded DNA mimics.

Authors:  Sridharan Rajagopalan; Antonina Andreeva; Daniel P Teufel; Stefan M Freund; Alan R Fersht
Journal:  J Biol Chem       Date:  2009-06-12       Impact factor: 5.157

  7 in total

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