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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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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. |
format | Online Article Text |
id | pubmed-5528925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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