Literature DB >> 20140280

BRCA in breast cancer: from risk assessment to therapeutic prediction.

Jennifer R Diamond1, Virginia F Borges, S Gail Eckhardt, Antonio Jimeno.   

Abstract

BRCA1/2 mutations are the most commonly identified germ line gene mutations in patients with hereditary breast cancer. These proteins have many critical cellular functions, including repair of DNA double-strand breaks. The role of defective BRCA1/2 as a predictor of response to DNA-damaging agents has been studied extensively in preclinical models, but prospective clinical validation is lacking. Poly [ADP-ribose] polymerase (PARP) inhibitors illustrate the concept of synthetic lethality in cells with defective BRCA1/2 and numerous PARP inhibitors are being evaluated in patients with BRCA1/2-associated tumors. BRCA1/2 mutation or functional loss will likely serve as a useful predictive biomarker of response to treatment with PARP inhibitors. Copyright 2009 Prous Science, S.A.U. or its licensors. All rights reserved.

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Year:  2009        PMID: 20140280     DOI: 10.1358/dnp.2009.22.10.1440985

Source DB:  PubMed          Journal:  Drug News Perspect        ISSN: 0214-0934


  3 in total

1.  Topical application of bleaching phenols; in-vivo studies and mechanism of action relevant to melanoma treatment.

Authors:  Vidhya Hariharan; Timothy Toole; Jared Klarquist; Jeffrey Mosenson; B Jack Longley; I Caroline Le Poole
Journal:  Melanoma Res       Date:  2011-04       Impact factor: 3.599

2.  Predictive biomarkers of sensitivity to the aurora and angiogenic kinase inhibitor ENMD-2076 in preclinical breast cancer models.

Authors:  Jennifer R Diamond; S Gail Eckhardt; Aik Choon Tan; Timothy P Newton; Heather M Selby; Kelsey L Brunkow; Maria I Kachaeva; Marileila Varella-Garcia; Todd M Pitts; Mark R Bray; Graham C Fletcher; John J Tentler
Journal:  Clin Cancer Res       Date:  2012-11-07       Impact factor: 12.531

3.  Functional analysis of human cancer-associated genes and their association with the testes and epididymis.

Authors:  Xiu-Feng Hua; Xue-Bo Wang; Fu-Jun Liu
Journal:  Oncol Lett       Date:  2013-07-08       Impact factor: 2.967

  3 in total

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