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Open Access 01-10-2006 | Research article

Predicting a local recurrence after breast-conserving therapy by gene expression profiling

Authors: Dimitry SA Nuyten, Bas Kreike, Augustinus AM Hart, Jen-Tsan Ashley Chi, Julie B Sneddon, Lodewyk FA Wessels, Hans J Peterse, Harry Bartelink, Patrick O Brown, Howard Y Chang, Marc J van de Vijver

Published in: Breast Cancer Research | Issue 5/2006

Abstract

Introduction

To tailor local treatment in breast cancer patients there is a need for predicting ipsilateral recurrences after breast-conserving therapy. After adequate treatment (excision with free margins and radiotherapy), young age and incompletely excised extensive intraductal component are predictors for local recurrence, but many local recurrences can still not be predicted. Here we have used gene expression profiling by microarray analysis to identify gene expression profiles that can help to predict local recurrence in individual patients.

Methods

By using previously established gene expression profiles with proven value in predicting metastasis-free and overall survival (wound-response signature, 70-gene prognosis profile and hypoxia-induced profile) and training towards an optimal prediction of local recurrences in a training series, we establish a classifier for local recurrence after breast-conserving therapy.

Results

Validation of the different gene lists shows that the wound-response signature is able to separate patients with a high (29%) or low (5%) risk of a local recurrence at 10 years (sensitivity 87.5%, specificity 75%). In multivariable analysis the classifier is an independent predictor for local recurrence.

Conclusion

Our findings indicate that gene expression profiling can identify subgroups of patients at increased risk of developing a local recurrence after breast-conserving therapy.

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Title: Predicting a local recurrence after breast-conserving therapy by gene expression profiling
Authors: Dimitry SA Nuyten
Bas Kreike
Augustinus AM Hart
Jen-Tsan Ashley Chi
Julie B Sneddon
Lodewyk FA Wessels
Hans J Peterse
Harry Bartelink
Patrick O Brown
Howard Y Chang
Marc J van de Vijver
Publication date: 01-10-2006
Publisher: BioMed Central
Published in: Breast Cancer Research / Issue 5/2006
Electronic ISSN: 1465-542X
DOI: https://doi.org/10.1186/bcr1614

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