Literature DB >> 18078352

Genomic signatures associated with the development, progression, and outcome of prostate cancer.

Prateek Mendiratta1, Phillip G Febbo.   

Abstract

Prostate cancer remains a common cause of cancer death in men. Applications of new genomic technologies to the recent development of high-quality prostate cancer models in multiple contexts have added great molecular insight into the development of and progression to metastasis. Genomic analysis of DNA, RNA, and protein alterations allows for the global assessment of this disease and provides the molecular framework to improve risk classification, outcome prediction, and development of targeted therapies. The creation of expression profiles and signatures will allow the evaluation of cancer phenotypes and give insight into determining those with increased risk of cancer, identification of critical pathways involved in the development of cancer, prediction of disease outcome, and assessment of the response of cancer to established and novel therapies. This review focuses on highlighting recent work in genomics and on its role in evaluating potential genetic modifiers of prostate cancer and novel biomarkers that may help with prostate cancer diagnosis, its potential to provide a better understanding of prostate cancer behavior and transition to metastatic disease, and its role in current and new therapies in prostate cancer. This framework has the exciting potential to be predictive and provide personalized and individual treatment to the large number of men diagnosed with prostate cancer each year.

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Year:  2007        PMID: 18078352     DOI: 10.1007/BF03256258

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  82 in total

1.  Clinical states in prostate cancer: toward a dynamic model of disease progression.

Authors:  H I Scher; G Heller
Journal:  Urology       Date:  2000-03       Impact factor: 2.649

2.  Positive prostate-specific antigen circulating cells detected by reverse transcriptase-polymerase chain reaction does not imply the presence of prostatic micrometastases.

Authors:  N Thiounn; F Saporta; T A Flam; F Pages; M Zerbib; A Vieillefond; E Martin; B Debré; S Chevillard
Journal:  Urology       Date:  1997-08       Impact factor: 2.649

3.  Admixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men.

Authors:  Matthew L Freedman; Christopher A Haiman; Nick Patterson; Gavin J McDonald; Arti Tandon; Alicja Waliszewska; Kathryn Penney; Robert G Steen; Kristin Ardlie; Esther M John; Ingrid Oakley-Girvan; Alice S Whittemore; Kathleen A Cooney; Sue A Ingles; David Altshuler; Brian E Henderson; David Reich
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-31       Impact factor: 11.205

4.  Genetic aberrations in prostate cancer by microarray analysis.

Authors:  Outi R Saramäki; Kati P Porkka; Robert L Vessella; Tapio Visakorpi
Journal:  Int J Cancer       Date:  2006-09-15       Impact factor: 7.396

5.  Trends in prostate cancer survival in Sweden, 1960 through 1988: evidence of increasing diagnosis of nonlethal tumors.

Authors:  F Helgesen; L Holmberg; J E Johansson; R Bergström; H O Adami
Journal:  J Natl Cancer Inst       Date:  1996-09-04       Impact factor: 13.506

6.  Neoadjuvant docetaxel before radical prostatectomy in patients with high-risk localized prostate cancer.

Authors:  Phillip G Febbo; Jerome P Richie; Daniel J George; Massimo Loda; Judith Manola; Sridhar Shankar; Agnieska Szot Barnes; Clare Tempany; William Catalona; Philip W Kantoff; William K Oh
Journal:  Clin Cancer Res       Date:  2005-07-15       Impact factor: 12.531

7.  Genome-wide loss of heterozygosity analysis from laser capture microdissected prostate cancer using single nucleotide polymorphic allele (SNP) arrays and a novel bioinformatics platform dChipSNP.

Authors:  Marshall E Lieberfarb; Ming Lin; Mirna Lechpammer; Cheng Li; David M Tanenbaum; Phillip G Febbo; Renée L Wright; Judy Shim; Philip W Kantoff; Massimo Loda; Matthew Meyerson; William R Sellers
Journal:  Cancer Res       Date:  2003-08-15       Impact factor: 12.701

8.  Increased expression of genes converting adrenal androgens to testosterone in androgen-independent prostate cancer.

Authors:  Michael Stanbrough; Glenn J Bubley; Kenneth Ross; Todd R Golub; Mark A Rubin; Trevor M Penning; Phillip G Febbo; Steven P Balk
Journal:  Cancer Res       Date:  2006-03-01       Impact factor: 12.701

9.  Gene expression profiling identifies clinically relevant subtypes of prostate cancer.

Authors:  Jacques Lapointe; Chunde Li; John P Higgins; Matt van de Rijn; Eric Bair; Kelli Montgomery; Michelle Ferrari; Lars Egevad; Walter Rayford; Ulf Bergerheim; Peter Ekman; Angelo M DeMarzo; Robert Tibshirani; David Botstein; Patrick O Brown; James D Brooks; Jonathan R Pollack
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-07       Impact factor: 11.205

10.  Molecular determinants of resistance to antiandrogen therapy.

Authors:  Charlie D Chen; Derek S Welsbie; Chris Tran; Sung Hee Baek; Randy Chen; Robert Vessella; Michael G Rosenfeld; Charles L Sawyers
Journal:  Nat Med       Date:  2003-12-21       Impact factor: 53.440

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  3 in total

Review 1.  Utility of functional imaging in prediction or assessment of treatment response and prognosis following thermotherapy.

Authors:  Mark W Dewhirst; Donald E Thrall; Gregory Palmer; Thies Schroeder; Zeljko Vujaskovic; H Cecil Charles; James Macfall; Terence Wong
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

Review 2.  Accessing and integrating data and knowledge for biomedical research.

Authors:  A Burgun; O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

3.  Survivin polymorphisms and susceptibility to prostate cancer: A genetic association study and an in silico analysis.

Authors:  Mohammad Karimian; Younes Aftabi; Tahereh Mazoochi; Faezeh Babaei; Tahereh Khamechian; Hossein Boojari; Hossein Nikzad
Journal:  EXCLI J       Date:  2018-05-18       Impact factor: 4.068

  3 in total

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