Literature DB >> 21277684

Gene profiling in breast cancer: time to move forward.

Enrique Espinosa1, Juan Ángel Fresno Vara, Iker Sánchez Navarro, Angelo Gámez-Pozo, Alvaro Pinto, Pilar Zamora, Andrés Redondo, Jaime Feliu.   

Abstract

Gene signatures may complement clinical and pathological factors to predict prognosis and response to therapy in patients with breast cancer, and can also sub-classify these tumours into entities with different biology and treatment requirements. A number of prognostic gene signatures are commercially available at this moment and two of them have entered phase III evaluation. Specific signatures are also being assessed to predict response to a number of drug therapies. The combined use of prognostic, predictive and subtype-defining signatures will guide therapeutic decisions in the future and will facilitate development of targeted drugs in specific groups of patients. However, cost-utility issues and some technical limitations have hindered widespread adoption of gene profiling. Gene signatures will become part of the routine clinical workup only if they help making clinical decisions. The first step to achieve this will consist of the inclusion of gene signatures in the design of clinical trials with new drugs.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21277684     DOI: 10.1016/j.ctrv.2010.12.009

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  3 in total

1.  Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.

Authors:  Penelope M Drake; Birgit Schilling; Richard K Niles; Akraporn Prakobphol; Bensheng Li; Kwanyoung Jung; Wonryeon Cho; Miles Braten; Halina D Inerowicz; Katherine Williams; Matthew Albertolle; Jason M Held; Demetris Iacovides; Dylan J Sorensen; Obi L Griffith; Eric Johansen; Anna M Zawadzka; Michael P Cusack; Simon Allen; Matthew Gormley; Steven C Hall; H Ewa Witkowska; Joe W Gray; Fred Regnier; Bradford W Gibson; Susan J Fisher
Journal:  J Proteome Res       Date:  2012-03-13       Impact factor: 4.466

2.  αB-crystallin, an effector of unfolded protein response, confers anti-VEGF resistance to breast cancer via maintenance of intracrine VEGF in endothelial cells.

Authors:  Qing Ruan; Song Han; Wen G Jiang; Michael E Boulton; Zhi J Chen; Brian K Law; Jun Cai
Journal:  Mol Cancer Res       Date:  2011-10-07       Impact factor: 5.852

3.  A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling.

Authors:  Romain Boidot; Samuel Branders; Thibault Helleputte; Laila Illan Rubio; Pierre Dupont; Olivier Feron
Journal:  Oncotarget       Date:  2014-08-30
  3 in total

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