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

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, t...

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Autores principales: López-Knowles, Elena, Wilkerson, Paul M, Ribas, Ricardo, Anderson, Helen, Mackay, Alan, Ghazoui, Zara, Rani, Aradhana, Osin, Peter, Nerurkar, Ash, Renshaw, Lorna, Larionov, Alexey, Miller, William R, Dixon, J Michael, Reis-Filho, Jorge S, Dunbier, Anita K, Martin, Lesley-Ann, Dowsett, Mitch
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406016/
https://www.ncbi.nlm.nih.gov/pubmed/25888249
http://dx.doi.org/10.1186/s13058-015-0532-0
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author López-Knowles, Elena
Wilkerson, Paul M
Ribas, Ricardo
Anderson, Helen
Mackay, Alan
Ghazoui, Zara
Rani, Aradhana
Osin, Peter
Nerurkar, Ash
Renshaw, Lorna
Larionov, Alexey
Miller, William R
Dixon, J Michael
Reis-Filho, Jorge S
Dunbier, Anita K
Martin, Lesley-Ann
Dowsett, Mitch
author_facet López-Knowles, Elena
Wilkerson, Paul M
Ribas, Ricardo
Anderson, Helen
Mackay, Alan
Ghazoui, Zara
Rani, Aradhana
Osin, Peter
Nerurkar, Ash
Renshaw, Lorna
Larionov, Alexey
Miller, William R
Dixon, J Michael
Reis-Filho, Jorge S
Dunbier, Anita K
Martin, Lesley-Ann
Dowsett, Mitch
author_sort López-Knowles, Elena
collection PubMed
description 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.
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spelling pubmed-44060162015-04-23 Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer López-Knowles, Elena Wilkerson, Paul M Ribas, Ricardo Anderson, Helen Mackay, Alan Ghazoui, Zara Rani, Aradhana Osin, Peter Nerurkar, Ash Renshaw, Lorna Larionov, Alexey Miller, William R Dixon, J Michael Reis-Filho, Jorge S Dunbier, Anita K Martin, Lesley-Ann Dowsett, Mitch Breast Cancer Res Research Article 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. BioMed Central 2015-03-11 2015 /pmc/articles/PMC4406016/ /pubmed/25888249 http://dx.doi.org/10.1186/s13058-015-0532-0 Text en © López-Knowles et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
López-Knowles, Elena
Wilkerson, Paul M
Ribas, Ricardo
Anderson, Helen
Mackay, Alan
Ghazoui, Zara
Rani, Aradhana
Osin, Peter
Nerurkar, Ash
Renshaw, Lorna
Larionov, Alexey
Miller, William R
Dixon, J Michael
Reis-Filho, Jorge S
Dunbier, Anita K
Martin, Lesley-Ann
Dowsett, Mitch
Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title_full Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title_fullStr Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title_full_unstemmed Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title_short Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
title_sort integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406016/
https://www.ncbi.nlm.nih.gov/pubmed/25888249
http://dx.doi.org/10.1186/s13058-015-0532-0
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