Literature DB >> 15808955

Molecular markers of prostate cancer outcome.

David I Quinn1, Susan M Henshall, Robert L Sutherland.   

Abstract

Molecular markers have the potential to serve not only as prognostic factors but may be targets for new therapeutic strategies and predictors of response in a range of cancers. Prostate cancer development and progression is predicated on a series of genetic and epigenetic events within the prostate cell and its milieu. Within this review, we identify candidate molecules involved in diverse processes such as cell proliferation, death and apoptosis, signal transduction, androgen receptor (AR) signalling, cellular adhesion and angiogenesis that are linked to outcome in prostate cancer. Current markers with potential prognostic value include p53, Bcl-2, p16INK4A, p27Kip1, c-Myc, AR, E-cadherin and vascular endothelial growth factor. Evolving technology permits the identification of an increasing number of molecular markers with prognosis and predictive potential. We also review the use of gene microarray analysis in gene discovery as a means of identifying and cosegregating novel markers of prostate cancer outcome. By integrating selected markers into prospective clinical trials, there is potential for us to provide specific targeted therapy tailored for an increasing number of patients.

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Year:  2005        PMID: 15808955     DOI: 10.1016/j.ejca.2004.12.035

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  55 in total

1.  Analysis of the specific pathways and networks of prostate cancer for gene expression profiles in the Chinese population.

Authors:  Jia-hong Chen; Hui-chan He; Fu-neng Jiang; Julia Militar; Petor-yang Ran; Guo-qiang Qin; Chao Cai; Xi-Bin Chen; Jin Zhao; Zi-yao Mo; Yan-ru Chen; Jian-guo Zhu; Xingyin Liu; Wei-de Zhong
Journal:  Med Oncol       Date:  2011-10-30       Impact factor: 3.064

2.  Embryonic lethal abnormal vision-like HuR-dependent mRNA stability regulates post-transcriptional expression of cyclin-dependent kinase inhibitor p27Kip1.

Authors:  Gudrun Ziegeler; Jie Ming; Jana C Koseki; Sema Sevinc; Ting Chen; Suleyman Ergun; Xuebin Qin; Bertal H Aktas
Journal:  J Biol Chem       Date:  2010-03-23       Impact factor: 5.157

Review 3.  Analysis of cell cycle phases and progression in cultured mammalian cells.

Authors:  Christoph Schorl; John M Sedivy
Journal:  Methods       Date:  2007-02       Impact factor: 3.608

4.  Loss of the SSeCKS/Gravin/AKAP12 gene results in prostatic hyperplasia.

Authors:  Shin Akakura; Changhui Huang; Peter J Nelson; Barbara Foster; Irwin H Gelman
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

5.  [Prognostic factors in prostate cancer].

Authors:  H Bonkhoff
Journal:  Pathologe       Date:  2005-11       Impact factor: 1.011

Review 6.  Concise Review: Prostate Cancer Stem Cells: Current Understanding.

Authors:  Sergej Skvortsov; Ira-Ida Skvortsova; Dean G Tang; Anna Dubrovska
Journal:  Stem Cells       Date:  2018-08-27       Impact factor: 6.277

Review 7.  What is low-risk prostate cancer and what is its natural history?

Authors:  Helen O'Donnell; Chris Parker
Journal:  World J Urol       Date:  2008-06-21       Impact factor: 4.226

8.  Nemo-like kinase induces apoptosis and inhibits androgen receptor signaling in prostate cancer cells.

Authors:  Katayoon H Emami; Lisha G Brown; Tiffany E M Pitts; Xizhang Sun; Robert L Vessella; Eva Corey
Journal:  Prostate       Date:  2009-10-01       Impact factor: 4.104

9.  Detecting disease associated modules and prioritizing active genes based on high throughput data.

Authors:  Yu-Qing Qiu; Shihua Zhang; Xiang-Sun Zhang; Luonan Chen
Journal:  BMC Bioinformatics       Date:  2010-01-13       Impact factor: 3.169

10.  An improved method for constructing tissue microarrays from prostate needle biopsy specimens.

Authors:  F McCarthy; A Fletcher; N Dennis; C Cummings; H O'Donnell; J Clark; P Flohr; R Vergis; S Jhavar; C Parker; C S Cooper
Journal:  J Clin Pathol       Date:  2009-08       Impact factor: 3.411

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