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Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer

BACKGROUND: To better predict the likelihood of response to chemotherapy, we have conducted a study comparing the gene expression patterns of primary tumours with their corresponding response to systemic chemotherapy in the metastatic setting. METHODS: mRNA expression profiles of breast carcinomas o...

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Autores principales: Savci-Heijink, Cemile Dilara, Halfwerk, Hans, Koster, Jan, Van de Vijver, Marc Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683464/
https://www.ncbi.nlm.nih.gov/pubmed/29132326
http://dx.doi.org/10.1186/s12885-017-3691-9
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author Savci-Heijink, Cemile Dilara
Halfwerk, Hans
Koster, Jan
Van de Vijver, Marc Joan
author_facet Savci-Heijink, Cemile Dilara
Halfwerk, Hans
Koster, Jan
Van de Vijver, Marc Joan
author_sort Savci-Heijink, Cemile Dilara
collection PubMed
description BACKGROUND: To better predict the likelihood of response to chemotherapy, we have conducted a study comparing the gene expression patterns of primary tumours with their corresponding response to systemic chemotherapy in the metastatic setting. METHODS: mRNA expression profiles of breast carcinomas of patients that later developed distant metastases were analyzed using supervised and non-supervised classification techniques to identify predictors of response to chemotherapy. The top differentially expressed genes between the responders and non-responders were identified and further explored. An independent dataset which was generated to predict response to neo-adjuvant CT was utilized for the purpose of validation. Response to chemotherapy was also correlated to the clinicopathologic characteristics, molecular subtypes, metastatic behavior and survival outcomes. RESULTS: Anthracycline containing regimens were the most common first line treatment (58.4%), followed by non-anthracycline/non-taxane containing (25.8%) and taxane containing (15.7%) regimens. Response was achieved in 41.6% of the patients to the first line CT and in 21.8% to second line CT. Response was not found to be significantly correlated to tumour type, grade, lymph node status, ER and PR status. Patients with HER2+ tumours showed better response to anthracycline containing therapy (p: 0.002). Response to first and second line chemotherapy did not differ among gene expression based molecular subtypes (p: 0.236 and p: 0.20). Using supervised classification, a 14 gene response classifier was identified. This 14-gene predictor could successfully predict the likelihood of better response to first and second line CT (p: <.0001 and p: 0.761, respectively) in the training set. However, the predictive value of this gene set in data of response to neoadjuvant chemotherapy could not be validated. CONCLUSIONS: To our knowledge, this is the first study revealing the relation between gene expression profiles of the primary tumours and their chemotherapy responsiveness in the metastatic setting. In contrast to the findings for neoadjuvant chemotherapy treatment, there was no association of molecular subtype with response to chemotherapy in the metastatic setting. Using supervised classification, we identified a classifier of chemotherapy response; however, we could not validate this classifier using neoadjuvant response data. TRIAL REGISTRATION: Non applicable. Subjects were retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-017-3691-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-56834642017-11-20 Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer Savci-Heijink, Cemile Dilara Halfwerk, Hans Koster, Jan Van de Vijver, Marc Joan BMC Cancer Research Article BACKGROUND: To better predict the likelihood of response to chemotherapy, we have conducted a study comparing the gene expression patterns of primary tumours with their corresponding response to systemic chemotherapy in the metastatic setting. METHODS: mRNA expression profiles of breast carcinomas of patients that later developed distant metastases were analyzed using supervised and non-supervised classification techniques to identify predictors of response to chemotherapy. The top differentially expressed genes between the responders and non-responders were identified and further explored. An independent dataset which was generated to predict response to neo-adjuvant CT was utilized for the purpose of validation. Response to chemotherapy was also correlated to the clinicopathologic characteristics, molecular subtypes, metastatic behavior and survival outcomes. RESULTS: Anthracycline containing regimens were the most common first line treatment (58.4%), followed by non-anthracycline/non-taxane containing (25.8%) and taxane containing (15.7%) regimens. Response was achieved in 41.6% of the patients to the first line CT and in 21.8% to second line CT. Response was not found to be significantly correlated to tumour type, grade, lymph node status, ER and PR status. Patients with HER2+ tumours showed better response to anthracycline containing therapy (p: 0.002). Response to first and second line chemotherapy did not differ among gene expression based molecular subtypes (p: 0.236 and p: 0.20). Using supervised classification, a 14 gene response classifier was identified. This 14-gene predictor could successfully predict the likelihood of better response to first and second line CT (p: <.0001 and p: 0.761, respectively) in the training set. However, the predictive value of this gene set in data of response to neoadjuvant chemotherapy could not be validated. CONCLUSIONS: To our knowledge, this is the first study revealing the relation between gene expression profiles of the primary tumours and their chemotherapy responsiveness in the metastatic setting. In contrast to the findings for neoadjuvant chemotherapy treatment, there was no association of molecular subtype with response to chemotherapy in the metastatic setting. Using supervised classification, we identified a classifier of chemotherapy response; however, we could not validate this classifier using neoadjuvant response data. TRIAL REGISTRATION: Non applicable. Subjects were retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-017-3691-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-13 /pmc/articles/PMC5683464/ /pubmed/29132326 http://dx.doi.org/10.1186/s12885-017-3691-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Savci-Heijink, Cemile Dilara
Halfwerk, Hans
Koster, Jan
Van de Vijver, Marc Joan
Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title_full Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title_fullStr Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title_full_unstemmed Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title_short Association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
title_sort association between gene expression profile of the primary tumor and chemotherapy response of metastatic breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683464/
https://www.ncbi.nlm.nih.gov/pubmed/29132326
http://dx.doi.org/10.1186/s12885-017-3691-9
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