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Expert Review of Molecular Diagnostics Volume 4, 2004 - Issue 2
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Review

Breast cancer biomarkers and molecular medicine: part II

Jeffrey S Ross Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
Gerald P Linette Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
James Stec Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
Edwin Clark Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
Mark Ayers Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
Nick Leschly Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
W Fraser Symmans Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
,
Gabriel N Hortobagyi Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
&
Lajos Pusztai Department of Pathology and Laboratory Medicine, MC 80 Albany Medical College, 47 New Scotland Avenue, Albany, NY 12208, USA. [email protected]
 show all
Pages 169-188 | Published online: 09 Jan 2014
 
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Abstract

In this second part of the two-part review of breast cancer biomarkers and molecular medicine, the first section will consider additional breast cancer prognostic factors, including oncogenes, tumor suppressor genes, cell adhesion molecules, invasion-associated proteins and proteases, hormone receptor proteins, drug resistance proteins, apoptosis regulators, transcription factors, telomerase, DNA repair and methylation and transcriptional profiling using high-density genomic microarrays. The second section will consider the prediction of therapy response using the techniques of pharmacogenetics and pharmacogenomics.

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