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Open Access 01-12-2006 | Technical advance

Evaluation of MetriGenix custom 4D™ arrays applied for detection of breast cancer subtypes

Authors: Aslaug Aamodt Muggerud, Hilde Johnsen, Debra A Barnes, Adam Steel, Per Eystein Lønning, Bjørn Naume, Therese Sørlie, Anne-Lise Børresen-Dale

Published in: BMC Cancer | Issue 1/2006

Abstract

Background

Previously, a total of five breast cancer subtypes have been identified based on variation in gene expression patterns. These expression profiles were also shown to be associated with different prognostic value. In this study tumour samples from 27 breast cancer patients, previously subtyped by expression analysis using DNA microarrays, and four controls from normal breast tissue were included. A new MetriGenix 4D™ array proposed for diagnostic use was evaluated.

Methods

We applied MetriGenix custom 4D™ arrays for the detection of previously defined molecular subtypes of breast cancer. MetriGenix 4D™ arrays have special features including probe immobilization in microchannels with chemiluminescence detection that enable shorter hybridization time.

Results

The MetriGenix 4D™ array platform was evaluated with respect to both the accuracy in classifying the samples as well as the performance of the system itself. In a cross validation analysis using "Nearest Shrunken Centroid classifier" and the PAM software, 77% of the samples were classified correctly according to earlier classification results.

Conclusion

The system shows potential for fast screening; however, improvements are needed.

Available only for authorised users

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The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/6/59/prepub

Title: Evaluation of MetriGenix custom 4D™ arrays applied for detection of breast cancer subtypes
Authors: Aslaug Aamodt Muggerud
Hilde Johnsen
Debra A Barnes
Adam Steel
Per Eystein Lønning
Bjørn Naume
Therese Sørlie
Anne-Lise Børresen-Dale
Publication date: 01-12-2006
Publisher: BioMed Central
Published in: BMC Cancer / Issue 1/2006
Electronic ISSN: 1471-2407
DOI: https://doi.org/10.1186/1471-2407-6-59

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Abstract

Background

Methods

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Conclusion

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