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Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer

Authors :
Anita K. Dunbier
Jorge S. Reis-Filho
Alexey Larionov
Ash Nerurkar
Lesley-Ann Martin
Ricardo Ribas
Elena Lopez-Knowles
Zara Ghazoui
Peter Osin
J Michael Dixon
Paul M. Wilkerson
Mitch Dowsett
Alan Mackay
Aradhana Rani
Helen Anderson
Lorna Renshaw
William R. Miller
Source :
Breast Cancer Research : BCR, López-Knowles, E, Wilkerson, P M, Ribas, R, Anderson, H, Mackay, A, Ghazoui, Z, Rani, A, Osin, P, Nerurkar, A, Renshaw, L, Larionov, A, Miller, W R, Dixon, J M, Reis-Filho, J S, Dunbier, A K, Martin, L-A & Dowsett, M 2015, ' Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer ', Breast Cancer Research, vol. 17, pp. 35 . https://doi.org/10.1186/s13058-015-0532-0
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

Introduction Aromatase inhibitors (AIs) are a vital component of estrogen receptor positive (ER+) breast cancer treatment. De novo and acquired resistance, however, is common. The aims of this study were to relate patterns of copy number aberrations to molecular and proliferative response to AIs, to study differences in the patterns of copy number aberrations between breast cancer samples pre- and post-AI neoadjuvant therapy, and to identify putative biomarkers for resistance to neoadjuvant AI therapy using an integrative analysis approach. Methods Samples from 84 patients derived from two neoadjuvant AI therapy trials were subjected to copy number profiling by microarray-based comparative genomic hybridisation (aCGH, n = 84), gene expression profiling (n = 47), matched pre- and post-AI aCGH (n = 19 pairs) and Ki67-based AI-response analysis (n = 39). Results Integrative analysis of these datasets identified a set of nine genes that, when amplified, were associated with a poor response to AIs, and were significantly overexpressed when amplified, including CHKA, LRP5 and SAPS3. Functional validation in vitro, using cell lines with and without amplification of these genes (SUM44, MDA-MB134-VI, T47D and MCF7) and a model of acquired AI-resistance (MCF7-LTED) identified CHKA as a gene that when amplified modulates estrogen receptor (ER)-driven proliferation, ER/estrogen response element (ERE) transactivation, expression of ER-regulated genes and phosphorylation of V-AKT murine thymoma viral oncogene homolog 1 (AKT1). Conclusions These data provide a rationale for investigation of the role of CHKA in further models of de novo and acquired resistance to AIs, and provide proof of concept that integrative genomic analyses can identify biologically relevant modulators of AI response. Electronic supplementary material The online version of this article (doi:10.1186/s13058-015-0532-0) contains supplementary material, which is available to authorized users.

Details

ISSN :
1465542X
Volume :
17
Database :
OpenAIRE
Journal :
Breast Cancer Research
Accession number :
edsair.doi.dedup.....c2c19c7aa311aa92b3748e4130b1eb82
Full Text :
https://doi.org/10.1186/s13058-015-0532-0