Title |
A candidate molecular signature associated with tamoxifen failure in primary breast cancer
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Published in |
Breast Cancer Research, October 2008
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DOI | 10.1186/bcr2158 |
Pubmed ID | |
Authors |
Julie A Vendrell, Katherine E Robertson, Patrice Ravel, Susan E Bray, Agathe Bajard, Colin A Purdie, Catherine Nguyen, Sirwan M Hadad, Ivan Bieche, Sylvie Chabaud, Thomas Bachelot, Alastair M Thompson, Pascale A Cohen |
Abstract |
Few markers are available that can predict response to tamoxifen treatment in estrogen receptor (ER)-positive breast cancers. Identification of such markers would be clinically useful. We attempted to identify molecular markers associated with tamoxifen failure in breast cancer. Eighteen initially ER-positive patients treated with tamoxifen requiring salvage surgery (tamoxifen failure [TF] patients) were compared with 17 patients who were disease free 5 years after surgery plus tamoxifen adjuvant therapy (control patients). cDNA microarray, real-time quantitative PCR, and immunohistochemistry on tissue microarrays were used to generate and confirm a gene signature associated with tamoxifen failure. An independent series of 33 breast tumor samples from patients who relapsed (n = 14) or did not relapse (n = 19) under tamoxifen treatment from a different geographic location was subsequently used to explore the gene expression signature identified. Using a screening set of 18 tumor samples (from eight control patients and 10 TF patients), a 47-gene signature discriminating between TF and control samples was identified using cDNA arrays. In addition to ESR1/ERalpha, the top-ranked genes selected by statistical cross-analyses were MET, FOS, SNCG, IGFBP4, and BCL2, which were subsequently validated in a larger set of tumor samples (from 17 control patients and 18 TF patients). Confirmation at the protein level by tissue microarray immunohistochemistry was observed for ER-alpha, gamma-synuclein, and insulin-like growth factor binding protein 4 proteins in the 35 original samples. In an independent series of breast tumor samples (19 nonrelapsing and 14 relapsing), reduced expression of ESR1/ERalpha, IGFBP4, SNCG, BCL2, and FOS was observed in the relapsing group and was associated with a shorter overall survival. Low mRNA expression levels of ESR1/ERalpha, BCL2, and FOS were also associated with a shorter relapse-free survival (RFS). Using a Cox multivariate regression analysis, we identified BCL2 and FOS as independent prognostic markers associated with RFS. Finally, the BCL2/FOS signature was demonstrated to have more accurate prognostic value for RFS than ESR1/ERalpha alone (likelihood ratio test). We identified molecular markers including a BCL2/FOS signature associated with tamoxifen failure; these markers may have clinical potential in the management of ER-positive breast cancer. |
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Germany | 1 | 1% |
Unknown | 64 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 19% |
Researcher | 10 | 15% |
Professor > Associate Professor | 6 | 9% |
Student > Master | 6 | 9% |
Student > Bachelor | 5 | 7% |
Other | 17 | 25% |
Unknown | 10 | 15% |
Readers by discipline | Count | As % |
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Chemistry | 2 | 3% |
Economics, Econometrics and Finance | 1 | 1% |
Other | 3 | 4% |
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