Literature DB >> 19544546

Genomic approaches to outcome prediction in prostate cancer.

Phillip G Febbo1.   

Abstract

Prostate cancer remains a common cause of cancer death in men. Applications of emerging genomic technologies to high-quality prostate cancer models and patient samples in multiple contexts have made significant contributions to our molecular understanding of the development and progression of prostate cancer. 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. In this review, the author focused on highlighting recent work in genomics and its role in evaluating molecular modifiers of prostate cancer risk and behavior and the development of predictive models that anticipate the risk of developing prostate cancer, prostate cancer progression, and the response of prostate cancer to therapy. This framework has the exciting potential to be predictive and to provide personalized and individual treatment to the large number of men diagnosed with prostate cancer each year. Cancer 2009;115(13 suppl):3046-57. (c) 2009 American Cancer Society.

Entities:  

Mesh:

Year:  2009        PMID: 19544546     DOI: 10.1002/cncr.24350

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  10 in total

Review 1.  Clinically relevant genetic characterization of prostate tumors: how close are we to the goal?

Authors:  Yuri Tolkach; Florian Imkamp; Konstantin Godin; Hendrik Van Poppel
Journal:  Korean J Urol       Date:  2015-01-30

2.  The use of COLD-PCR and high-resolution melting analysis improves the limit of detection of KRAS and BRAF mutations in colorectal cancer.

Authors:  Irene Mancini; Claudio Santucci; Roberta Sestini; Lisa Simi; Nicola Pratesi; Fabio Cianchi; Rosa Valanzano; Pamela Pinzani; Claudio Orlando
Journal:  J Mol Diagn       Date:  2010-07-08       Impact factor: 5.568

Review 3.  Derivation of cancer diagnostic and prognostic signatures from gene expression data.

Authors:  Steve Goodison; Yijun Sun; Virginia Urquidi
Journal:  Bioanalysis       Date:  2010-05       Impact factor: 2.681

Review 4.  Blood and tissue biomarkers in prostate cancer: state of the art.

Authors:  Michelangelo Fiorentino; Elisa Capizzi; Massimo Loda
Journal:  Urol Clin North Am       Date:  2010-02       Impact factor: 2.241

Review 5.  Molecular circuits of solid tumors: prognostic and predictive tools for bedside use.

Authors:  Charles Ferté; Fabrice André; Jean-Charles Soria
Journal:  Nat Rev Clin Oncol       Date:  2010-06-15       Impact factor: 66.675

6.  Invasive prostate carcinoma driven by c-Src and androgen receptor synergy.

Authors:  Houjian Cai; Ivan Babic; Xiao Wei; Jiaoti Huang; Owen N Witte
Journal:  Cancer Res       Date:  2010-12-06       Impact factor: 12.701

7.  Axillary lymph node metastasis and survival in breast cancer patients with concurrent cardio-cerebral-vascular disease.

Authors:  Roland Sennerstam; Kai-Uwe Schässburger; Nils Stormby; Hans Wiksell; Gert Auer
Journal:  JRSM Short Rep       Date:  2011-02-18

8.  The genomic landscape of prostate cancer.

Authors:  Sylvan C Baca; Levi A Garraway
Journal:  Front Endocrinol (Lausanne)       Date:  2012-05-16       Impact factor: 5.555

9.  Performance of an adipokine pathway-based multilocus genetic risk score for prostate cancer risk prediction.

Authors:  Ricardo J T Ribeiro; Cátia P D Monteiro; Andreia S M Azevedo; Virgínia F M Cunha; Agnihotram V Ramanakumar; Avelino M Fraga; Francisco M Pina; Carlos M S Lopes; Rui M Medeiros; Eduardo L Franco
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

Review 10.  DNA alterations in the tumor genome and their associations with clinical outcome in prostate cancer.

Authors:  Wennuan Liu
Journal:  Asian J Androl       Date:  2016 Jul-Aug       Impact factor: 3.285

  10 in total

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