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An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients

BACKGROUND: Molecular characterization of circulating tumor cells (CTC) is promising for personalized medicine. We aimed to identify a CTC gene expression profile predicting outcome to first-line aromatase inhibitors in metastatic breast cancer (MBC) patients. Methods: CTCs were isolated from 78 MBC...

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Autores principales: Reijm, Esther A., Sieuwerts, Anieta M., Smid, Marcel, Vries, Joan Bolt-de, Mostert, Bianca, Onstenk, Wendy, Peeters, Dieter, Dirix, Luc Y., Seynaeve, Caroline M., Jager, Agnes, de Jongh, Felix E., Hamberg, Paul, van Galen, Anne, Kraan, Jaco, Jansen, Maurice P. H. M., Gratama, Jan W., Foekens, John A., Martens, John W. M., Berns, Els M. J. J., Sleijfer, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759736/
https://www.ncbi.nlm.nih.gov/pubmed/26892682
http://dx.doi.org/10.1186/s12885-016-2155-y
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author Reijm, Esther A.
Sieuwerts, Anieta M.
Smid, Marcel
Vries, Joan Bolt-de
Mostert, Bianca
Onstenk, Wendy
Peeters, Dieter
Dirix, Luc Y.
Seynaeve, Caroline M.
Jager, Agnes
de Jongh, Felix E.
Hamberg, Paul
van Galen, Anne
Kraan, Jaco
Jansen, Maurice P. H. M.
Gratama, Jan W.
Foekens, John A.
Martens, John W. M.
Berns, Els M. J. J.
Sleijfer, Stefan
author_facet Reijm, Esther A.
Sieuwerts, Anieta M.
Smid, Marcel
Vries, Joan Bolt-de
Mostert, Bianca
Onstenk, Wendy
Peeters, Dieter
Dirix, Luc Y.
Seynaeve, Caroline M.
Jager, Agnes
de Jongh, Felix E.
Hamberg, Paul
van Galen, Anne
Kraan, Jaco
Jansen, Maurice P. H. M.
Gratama, Jan W.
Foekens, John A.
Martens, John W. M.
Berns, Els M. J. J.
Sleijfer, Stefan
author_sort Reijm, Esther A.
collection PubMed
description BACKGROUND: Molecular characterization of circulating tumor cells (CTC) is promising for personalized medicine. We aimed to identify a CTC gene expression profile predicting outcome to first-line aromatase inhibitors in metastatic breast cancer (MBC) patients. Methods: CTCs were isolated from 78 MBC patients before treatment start. mRNA expression levels of 96 genes were measured by quantitative reverse transcriptase polymerase chain reaction. After applying predefined exclusion criteria based on lack of sufficient RNA quality and/or quantity, the data from 45 patients were used to construct a gene expression profile to predict poor responding patients, defined as disease progression or death <9 months, by a leave-one-out cross validation. RESULTS: Of the 45 patients, 19 were clinically classified as poor responders. To identify them, the 75 % most variable genes were used to select genes differentially expressed between good and poor responders. An 8-gene CTC predictor was significantly associated with outcome (Hazard Ratio [HR] 4.40, 95 % Confidence Interval [CI]: 2.17–8.92, P < 0.001). This predictor identified poor responding patients with a sensitivity of 63 % and a positive predictive value of 75 %, while good responding patients were correctly predicted in 85 % of the cases. In multivariate Cox regression analysis, including CTC count at baseline, the 8-gene CTC predictor was the only factor independently associated with outcome (HR 4.59 [95 % CI: 2.11–9.56], P < 0.001). This 8-gene signature was not associated with outcome in a group of 71 MBC patients treated with systemic treatments other than AI. CONCLUSIONS: An 8-gene CTC predictor was identified which discriminates good and poor outcome to first-line aromatase inhibitors in MBC patients. Although results need to be validated, this study underscores the potential of molecular characterization of CTCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2155-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-47597362016-02-20 An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients Reijm, Esther A. Sieuwerts, Anieta M. Smid, Marcel Vries, Joan Bolt-de Mostert, Bianca Onstenk, Wendy Peeters, Dieter Dirix, Luc Y. Seynaeve, Caroline M. Jager, Agnes de Jongh, Felix E. Hamberg, Paul van Galen, Anne Kraan, Jaco Jansen, Maurice P. H. M. Gratama, Jan W. Foekens, John A. Martens, John W. M. Berns, Els M. J. J. Sleijfer, Stefan BMC Cancer Research Article BACKGROUND: Molecular characterization of circulating tumor cells (CTC) is promising for personalized medicine. We aimed to identify a CTC gene expression profile predicting outcome to first-line aromatase inhibitors in metastatic breast cancer (MBC) patients. Methods: CTCs were isolated from 78 MBC patients before treatment start. mRNA expression levels of 96 genes were measured by quantitative reverse transcriptase polymerase chain reaction. After applying predefined exclusion criteria based on lack of sufficient RNA quality and/or quantity, the data from 45 patients were used to construct a gene expression profile to predict poor responding patients, defined as disease progression or death <9 months, by a leave-one-out cross validation. RESULTS: Of the 45 patients, 19 were clinically classified as poor responders. To identify them, the 75 % most variable genes were used to select genes differentially expressed between good and poor responders. An 8-gene CTC predictor was significantly associated with outcome (Hazard Ratio [HR] 4.40, 95 % Confidence Interval [CI]: 2.17–8.92, P < 0.001). This predictor identified poor responding patients with a sensitivity of 63 % and a positive predictive value of 75 %, while good responding patients were correctly predicted in 85 % of the cases. In multivariate Cox regression analysis, including CTC count at baseline, the 8-gene CTC predictor was the only factor independently associated with outcome (HR 4.59 [95 % CI: 2.11–9.56], P < 0.001). This 8-gene signature was not associated with outcome in a group of 71 MBC patients treated with systemic treatments other than AI. CONCLUSIONS: An 8-gene CTC predictor was identified which discriminates good and poor outcome to first-line aromatase inhibitors in MBC patients. Although results need to be validated, this study underscores the potential of molecular characterization of CTCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2155-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-18 /pmc/articles/PMC4759736/ /pubmed/26892682 http://dx.doi.org/10.1186/s12885-016-2155-y Text en © Reijm et al. 2016 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
Reijm, Esther A.
Sieuwerts, Anieta M.
Smid, Marcel
Vries, Joan Bolt-de
Mostert, Bianca
Onstenk, Wendy
Peeters, Dieter
Dirix, Luc Y.
Seynaeve, Caroline M.
Jager, Agnes
de Jongh, Felix E.
Hamberg, Paul
van Galen, Anne
Kraan, Jaco
Jansen, Maurice P. H. M.
Gratama, Jan W.
Foekens, John A.
Martens, John W. M.
Berns, Els M. J. J.
Sleijfer, Stefan
An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title_full An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title_fullStr An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title_full_unstemmed An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title_short An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
title_sort 8-gene mrna expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759736/
https://www.ncbi.nlm.nih.gov/pubmed/26892682
http://dx.doi.org/10.1186/s12885-016-2155-y
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