Converting a Breast Cancer Microarray Signature into a High-throughput Diagnostic Test

Overview

Journal BMC Genomics

Publisher Biomed Central

Specialty Genetics

Date 2006 Nov 1

PMID 17074082

Citations 191

Authors

Annuska M Glas

Arno Floore

Leonie J M J Delahaye

Anke T Witteveen

Rob C F Pover

Niels Bakx

Jaana S T Lahti-Domenici

Tako J Bruinsma

Marc O Warmoes

Rene Bernards

Lodewyk F A Wessels

Laura J Vant Veer

Affiliations

Soon will be listed here.

Abstract

Background: A 70-gene tumor expression profile was established as a powerful predictor of disease outcome in young breast cancer patients. This profile, however, was generated on microarrays containing 25,000 60-mer oligonucleotides that are not designed for processing of many samples on a routine basis.

Results: To facilitate its use in a diagnostic setting, the 70-gene prognosis profile was translated into a customized microarray (MammaPrint) containing a reduced set of 1,900 probes suitable for high throughput processing. RNA of 162 patient samples from two previous studies was subjected to hybridization to this custom array to validate the prognostic value. Classification results obtained from the original analysis were then compared to those generated using the algorithms based on the custom microarray and showed an extremely high correlation of prognosis prediction between the original data and those generated using the custom mini-array (p < 0.0001).

Conclusion: In this report we demonstrate for the first time that microarray technology can be used as a reliable diagnostic tool. The data clearly demonstrate the reproducibility and robustness of the small custom-made microarray. The array is therefore an excellent tool to predict outcome of disease in breast cancer patients.

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