Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/86598
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | SERPINA6, BEX1, AGTR1, SLC26A3, and LAPTM4B are markers of resistance to neoadjuvant chemotherapy in HER2-negative breast cancer |
Author: | de Ronde, J. Lips, E. Mulder, L. Vincent, A. Wesseling, J. Nieuwland, M. Kerkhoven, R. Vrancken Peeters, M.-J. Sonke, G. Rodenhuis, S. Wessels, L. |
Citation: | Breast Cancer Research and Treatment, 2013; 137(1):213-223 |
Publisher: | Springer US |
Issue Date: | 2013 |
ISSN: | 0167-6806 1573-7217 |
Statement of Responsibility: | Jorma J. de Ronde, Esther H. Lips, Lennart Mulder, Andrew D. Vincent, Jelle Wesseling, Marja Nieuwland, Ron Kerkhoven, Marie-Jeanne T. F. D. Vrancken Peeters, Gabe S. Sonke, Sjoerd Rodenhuis, Lodewyk F. A. Wessels |
Abstract: | Response rates to chemotherapy remain highly variable in breast cancer patients. We set out to identify genes associated with chemotherapy resistance. We analyzed what is currently the largest single-institute set of gene expression profiles derived from breast cancers prior to a single neoadjuvant chemotherapy regimen (dose-dense doxorubicin and cyclophosphamide). We collected, gene expression-profiled, and analyzed 178 HER2-negative breast tumor biopsies (“NKI dataset”). We employed a recently developed approach for detecting imbalanced differential signal (DIDS) to identify markers of resistance to treatment. In contrast to traditional methods, DIDS is able to identify markers that show aberrant expression in only a small subgroup of the non-responder samples. We found a number of markers of resistance to anthracycline-based chemotherapy. We validated our findings in three external datasets, totaling 456 HER2-negative samples. Since these external sets included patients who received differing treatment regimens, the validated markers represent markers of general chemotherapy resistance. There was a highly significant overlap in the markers identified in the NKI dataset and the other three datasets. Five resistance markers, SERPINA6, BEX1, AGTR1, SLC26A3, and LAPTM4B, were identified in three of the four datasets (p value overlap < 1 × 10−6). These five genes identified resistant tumors that could not have been identified by merely taking ER status or proliferation into account. The identification of these genes might lead to a better understanding of the mechanisms involved in (clinically) observed chemotherapy resistance and could possibly assist in the recognition of breast cancers in which chemotherapy does not contribute to response or survival. |
Keywords: | Breast cancer; Neoadjuvant therapy; Response prediction; Chemotherapy resistance; Chemotherapy marker; Biomarker |
Rights: | © Springer Science+Business Media New York 2012 |
DOI: | 10.1007/s10549-012-2340-x |
Published version: | http://dx.doi.org/10.1007/s10549-012-2340-x |
Appears in Collections: | Aurora harvest 7 Medicine publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.