Summary
August 2005, Vol. 5, No. 8, Pages 1069-1083 , DOI 10.1517/14712598.5.8.1069

Application of DNA microarray technology in determining breast cancer prognosis and therapeutic response

Donal J Brennan1, Sallyann L O’Brien1, Ailís Fagan2, Aedín C Culhane2, Desmond G Higgins2, Michael J Duffy3,4 & William M Gallagher1
1Conway Institute of Biomolecular and Biomedical Research, Department of Pharmacology, Centre for Molecular Medicine, University College Dublin, Dublin 4, Ireland.
2Conway Institute of Biomolecular and Biomedical Research, Department of Bioinformatics, Centre for Molecular Medicine, University College Dublin, Dublin 4, Ireland
3Conway Institute of Biomolecular and Biomedical Research, Department of Surgery, Centre for Molecular Medicine, University College Dublin, Dublin 4, Ireland
4St. Vincent’s University Hospital, Department of Nuclear Medicine, Dublin 4, Ireland
Author for correspondence



There are > 1.15 million cases of breast cancer diagnosed worldwide annually, and it is the second leading cause of cancer death in the European Union. The optimum management of patients with breast cancer requires accurate prognostic and predictive factors. At present, only a small number of such factors are used clinically. DNA microarrays have the potential to measure the expression of tens of thousands of genes simultaneously. Recent preliminary findings suggest that DNA microarray-based gene expression profiling can provide powerful and independent prognostic information in patients with newly diagnosed breast cancer. As well as providing prognostic information, emerging results suggest that DNA microarrays can also be used for predicting response or resistance to treatment, especially to neoadjuvant chemotherapy. Prior to clinical application, these preliminary findings must be validated using large-scale prospective studies. This article reviews these advances and also examines the role of DNA microarrays in reducing the number of patients who receive inappropriate chemotherapy. The most recent data supporting the integration of various publicly available data sets is also reviewed in detail.

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Forward Links to Citing Articles

Thomas YK Lau, Darran P O’Connor, Donal J Brennan, Michael J Duffy, Stephen R Pennington, William M Gallagher. (2007) Breast cancer proteomics: clinical perspectives. Expert Opinion on Biological Therapy 7:2, 209-219
Online publication date: 1-Feb-2007.
Summary | Full Text | PDF (291 KB) | PDF Plus (444 KB) 
Sharon F McGee, Darran P O’Connor, William M Gallagher. (2006) Functional interrogation of breast cancer: from models to drugs. Expert Opinion on Drug Discovery 1:6, 569-584
Online publication date: 1-Nov-2006.
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Richard B. Roth, Peter Hevezi, Jerry Lee, Dorian Willhite, Sandra M. Lechner, Alan C. Foster, Albert Zlotnik. (2006) Gene expression analyses reveal molecular relationships among 20 regions of the human CNS. Neurogenetics 7:2, 67-80
Online publication date: 1-Jun-2006.
CrossRef
Julia D Wulfkuhle, Kirsten H Edmiston, Lance A Liotta, Emanuel F Petricoin. (2006) Technology Insight: pharmacoproteomics for cancer—promises of patient-tailored medicine using protein microarrays. Nature Clinical Practice Oncology 3:5, 256
CrossRef
 

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Authors:
Donal J Brennan
Sallyann L O’Brien
Ailís Fagan
Aedín C Culhane
Desmond G Higgins
Michael J Duffy
William M Gallagher
Keywords:
breast cancer
data integration
DNA microarrays
prognosis
therapy