Literature DB >> 18171420

Predictive markers in breast cancer--the future.

D Faratian1, J Bartlett.   

Abstract

The published literature is awash with examples of new tissue biomarkers promising to predict responses to therapy in breast cancer patients. However, few, if any, of these progress from the laboratory to the clinic. In this review we discuss some of the reasons for this, illustrating our discussion with a selection of biomarkers which are in development and which may be candidates for clinical application within the next few years (topoisomerase II alpha, epidermal growth factor receptor, AKT, phosphatase and tensin homologue). In particular, we explore how our ever increasing knowledge of molecular and pathway biology is facilitating hypothesis-driven biomarker discovery, and the statistical considerations which need to be addressed in order to validate new candidate biomarkers adequately.

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Year:  2008        PMID: 18171420     DOI: 10.1111/j.1365-2559.2007.02896.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  5 in total

1.  Predictive and prognostic molecular markers for cancer medicine.

Authors:  Sunali Mehta; Andrew Shelling; Anita Muthukaruppan; Annette Lasham; Cherie Blenkiron; George Laking; Cristin Print
Journal:  Ther Adv Med Oncol       Date:  2010-03       Impact factor: 8.168

2.  Nuclear expression of KLF6 tumor suppressor factor is highly associated with overexpression of ERBB2 oncoprotein in ductal breast carcinomas.

Authors:  Ricardo C Gehrau; Diego S D'Astolfo; Catherine I Dumur; José L Bocco; Nicolás P Koritschoner
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

3.  The majority of triple-negative breast cancer may correspond to basal-like carcinoma, but triple-negative breast cancer is not identical to basal-like carcinoma.

Authors:  Naoto Kuroda; Masahiko Ohara; Kaori Inoue; Keiko Mizuno; Nokiaki Fujishima; Nobumasa Hamaguchi; Gang-Hong Lee
Journal:  Med Mol Morphol       Date:  2009-06-18       Impact factor: 2.309

4.  Perinucleolar compartment prevalence is a phenotypic pancancer marker of malignancy.

Authors:  John T Norton; Callie B Pollock; Chen Wang; Julian C Schink; J Julie Kim; Sui Huang
Journal:  Cancer       Date:  2008-08-15       Impact factor: 6.860

Review 5.  Systems pathology--taking molecular pathology into a new dimension.

Authors:  Dana Faratian; Robert G Clyde; John W Crawford; David J Harrison
Journal:  Nat Rev Clin Oncol       Date:  2009-07-07       Impact factor: 66.675

  5 in total

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