Identification of high risk breast-cancer patients by gene expression profiling - PubMed (original) (raw)

Identification of high risk breast-cancer patients by gene expression profiling

André Ahr et al. Lancet. 2002.

Abstract

We previously used DNA array analyses in the molecular profiling of breast cancers. By cluster analysis of 55 patients, we identified a subpopulation of breast cancers-designated class A-that contained a high number of nodal-positive tumours and that had frequently developed distant metastases at the time of diagnosis. We have now analysed follow-up data from these patients. We found that, despite a median of only 23.5 months of follow-up, 11 of 22 patients in class A progressed to metastatic disease, and three of five patients classified as having a nodal status of N0 in this subpopulation developed distant metastases. Our analysis identifies breast-cancer patients with a high risk of disease recurrence, and could act as a first step towards improved patient-adapted therapy.

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Comment in

Gene-expression profiling and identification of patients at high risk of breast cancer.
Palmieri C, Vigushin D. Palmieri C, et al. Lancet. 2002 Jul 13;360(9327):173; author reply 174. doi: 10.1016/S0140-6736(02)09396-0. Lancet. 2002. PMID: 12126851 No abstract available.
Gene-expression profiling and identification of patients at high risk of breast cancer.
Bertucci F, Eisinger F, Houlgatte R, Viens P, Birnbaum D. Bertucci F, et al. Lancet. 2002 Jul 13;360(9327):173-4; author reply 174. doi: 10.1016/S0140-6736(02)09399-6. Lancet. 2002. PMID: 12126852 No abstract available.

Identification of high risk breast-cancer patients by gene expression profiling - PubMed (original) (raw)