- Paper Report
- Open Access
Gene expression profiling
- Valerie Speirs1
© Biomed Central Ltd 2002
- Received: 5 February 2002
- Accepted: 6 February 2002
- Published: 1 December 2002
- DNA arrays, recurrence
The most important prognostic indicators to predict patient outcome in breast cancer are hormone receptor status, axillary lymph node status and histological grade; although these give a broad overview of outcome, they cannot predict for all patients. The recent development of cDNA array analysis provides the opportunity for a more refined approach based on molecular classification of individual tumours (see Additional information ). A previous study by the same authors identified molecular profiles in a cohort of nine benign and 72 malignant breast tumours (see Additional information ). The aim of this work was to use this technology to identify patients at increased risk of tumour recurrence.
Hierarchical cluster analysis of data revealed two clusters, class A - which consisted of a high proportion of node-negative patients with metastases at time of diagnosis - and non-class A (all other patients). Median follow up data (23.5 months) from 55 of these patients were analysed. Of 22 patients in class A, 11 progressed to metastatic disease and 9 out of 20 had recurrences, compared to 3 out of 27 of non-class A. Additionally, three out of five patients originally classified as N0 in class A developed metastatic disease.
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