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4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer

Estrogen receptor (ER) positive tumors represent the majority of breast malignancies, and are effectively treated with hormonal therapies, such as tamoxifen. However, in the recurrent disease resistance to tamoxifen therapy is common and a major cause of death. In recent years, in‐depth proteome ana...

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Autores principales: De Marchi, Tommaso, Liu, Ning Qing, Stingl, Cristoph, Timmermans, Mieke A., Smid, Marcel, Look, Maxime P., Tjoa, Mila, Braakman, Rene B.H., Opdam, Mark, Linn, Sabine C., Sweep, Fred C.G.J., Span, Paul N., Kliffen, Mike, Luider, Theo M., Foekens, John A., Martens, John W.M., Umar, Arzu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5528925/
https://www.ncbi.nlm.nih.gov/pubmed/26285647
http://dx.doi.org/10.1016/j.molonc.2015.07.004
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author De Marchi, Tommaso
Liu, Ning Qing
Stingl, Cristoph
Timmermans, Mieke A.
Smid, Marcel
Look, Maxime P.
Tjoa, Mila
Braakman, Rene B.H.
Opdam, Mark
Linn, Sabine C.
Sweep, Fred C.G.J.
Span, Paul N.
Kliffen, Mike
Luider, Theo M.
Foekens, John A.
Martens, John W.M.
Umar, Arzu
author_facet De Marchi, Tommaso
Liu, Ning Qing
Stingl, Cristoph
Timmermans, Mieke A.
Smid, Marcel
Look, Maxime P.
Tjoa, Mila
Braakman, Rene B.H.
Opdam, Mark
Linn, Sabine C.
Sweep, Fred C.G.J.
Span, Paul N.
Kliffen, Mike
Luider, Theo M.
Foekens, John A.
Martens, John W.M.
Umar, Arzu
author_sort De Marchi, Tommaso
collection PubMed
description Estrogen receptor (ER) positive tumors represent the majority of breast malignancies, and are effectively treated with hormonal therapies, such as tamoxifen. However, in the recurrent disease resistance to tamoxifen therapy is common and a major cause of death. In recent years, in‐depth proteome analyses have enabled identification of clinically useful biomarkers, particularly, when heterogeneity in complex tumor tissue was reduced using laser capture microdissection (LCM). In the current study, we performed high resolution proteomic analysis on two cohorts of ER positive breast tumors derived from patients who either manifested good or poor outcome to tamoxifen treatment upon recurrence. A total of 112 fresh frozen tumors were collected from multiple medical centers and divided into two sets: an in‐house training and a multi‐center test set. Epithelial tumor cells were enriched with LCM and analyzed by nano‐LC Orbitrap mass spectrometry (MS), which yielded >3000 and >4000 quantified proteins in the training and test sets, respectively. Raw data are available via ProteomeXchange with identifiers PXD000484 and PXD000485. Statistical analysis showed differential abundance of 99 proteins, of which a subset of 4 proteins was selected through a multivariate step‐down to develop a predictor for tamoxifen treatment outcome. The 4‐protein signature significantly predicted poor outcome patients in the test set, independent of predictive histopathological characteristics (hazard ratio [HR] = 2.17; 95% confidence interval [CI] = 1.15 to 4.17; multivariate Cox regression p value = 0.017). Immunohistochemical (IHC) staining of PDCD4, one of the signature proteins, on an independent set of formalin‐fixed paraffin‐embedded tumor tissues provided and independent technical validation (HR = 0.72; 95% CI = 0.57 to 0.92; multivariate Cox regression p value = 0.009). We hereby report the first validated protein predictor for tamoxifen treatment outcome in recurrent ER‐positive breast cancer. IHC further showed that PDCD4 is an independent marker.
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spelling pubmed-55289252017-08-15 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer De Marchi, Tommaso Liu, Ning Qing Stingl, Cristoph Timmermans, Mieke A. Smid, Marcel Look, Maxime P. Tjoa, Mila Braakman, Rene B.H. Opdam, Mark Linn, Sabine C. Sweep, Fred C.G.J. Span, Paul N. Kliffen, Mike Luider, Theo M. Foekens, John A. Martens, John W.M. Umar, Arzu Mol Oncol Articles Estrogen receptor (ER) positive tumors represent the majority of breast malignancies, and are effectively treated with hormonal therapies, such as tamoxifen. However, in the recurrent disease resistance to tamoxifen therapy is common and a major cause of death. In recent years, in‐depth proteome analyses have enabled identification of clinically useful biomarkers, particularly, when heterogeneity in complex tumor tissue was reduced using laser capture microdissection (LCM). In the current study, we performed high resolution proteomic analysis on two cohorts of ER positive breast tumors derived from patients who either manifested good or poor outcome to tamoxifen treatment upon recurrence. A total of 112 fresh frozen tumors were collected from multiple medical centers and divided into two sets: an in‐house training and a multi‐center test set. Epithelial tumor cells were enriched with LCM and analyzed by nano‐LC Orbitrap mass spectrometry (MS), which yielded >3000 and >4000 quantified proteins in the training and test sets, respectively. Raw data are available via ProteomeXchange with identifiers PXD000484 and PXD000485. Statistical analysis showed differential abundance of 99 proteins, of which a subset of 4 proteins was selected through a multivariate step‐down to develop a predictor for tamoxifen treatment outcome. The 4‐protein signature significantly predicted poor outcome patients in the test set, independent of predictive histopathological characteristics (hazard ratio [HR] = 2.17; 95% confidence interval [CI] = 1.15 to 4.17; multivariate Cox regression p value = 0.017). Immunohistochemical (IHC) staining of PDCD4, one of the signature proteins, on an independent set of formalin‐fixed paraffin‐embedded tumor tissues provided and independent technical validation (HR = 0.72; 95% CI = 0.57 to 0.92; multivariate Cox regression p value = 0.009). We hereby report the first validated protein predictor for tamoxifen treatment outcome in recurrent ER‐positive breast cancer. IHC further showed that PDCD4 is an independent marker. John Wiley and Sons Inc. 2015-08-07 2016-01 /pmc/articles/PMC5528925/ /pubmed/26285647 http://dx.doi.org/10.1016/j.molonc.2015.07.004 Text en © 2016 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Articles
De Marchi, Tommaso
Liu, Ning Qing
Stingl, Cristoph
Timmermans, Mieke A.
Smid, Marcel
Look, Maxime P.
Tjoa, Mila
Braakman, Rene B.H.
Opdam, Mark
Linn, Sabine C.
Sweep, Fred C.G.J.
Span, Paul N.
Kliffen, Mike
Luider, Theo M.
Foekens, John A.
Martens, John W.M.
Umar, Arzu
4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title_full 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title_fullStr 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title_full_unstemmed 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title_short 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
title_sort 4‐protein signature predicting tamoxifen treatment outcome in recurrent breast cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5528925/
https://www.ncbi.nlm.nih.gov/pubmed/26285647
http://dx.doi.org/10.1016/j.molonc.2015.07.004
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