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A 41-gene signature derived from breast cancer stem cells as a predictor of survival

PURPOSE: The aim of this study was to evaluate the ability of a 41-gene signature derived from breast cancer stem cells (BCSCs) to estimate the risk of metastasis and survival in breast cancer patients. METHODS: The centroid expression of the 41-gene signature derived from BCSCs was applied as the t...

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Autores principales: Yin, Zhi-Qiang, Liu, Jian-Jun, Xu, Ying-Chun, Yu, Jian, Ding, Guo-Hui, Yang, Feng, Tang, Lei, Liu, Bao-Hong, Ma, Yue, Xia, Yu-Wei, Lin, Xiao-Lin, Wang, Hong-Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229870/
https://www.ncbi.nlm.nih.gov/pubmed/24906694
http://dx.doi.org/10.1186/1756-9966-33-49
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author Yin, Zhi-Qiang
Liu, Jian-Jun
Xu, Ying-Chun
Yu, Jian
Ding, Guo-Hui
Yang, Feng
Tang, Lei
Liu, Bao-Hong
Ma, Yue
Xia, Yu-Wei
Lin, Xiao-Lin
Wang, Hong-Xia
author_facet Yin, Zhi-Qiang
Liu, Jian-Jun
Xu, Ying-Chun
Yu, Jian
Ding, Guo-Hui
Yang, Feng
Tang, Lei
Liu, Bao-Hong
Ma, Yue
Xia, Yu-Wei
Lin, Xiao-Lin
Wang, Hong-Xia
author_sort Yin, Zhi-Qiang
collection PubMed
description PURPOSE: The aim of this study was to evaluate the ability of a 41-gene signature derived from breast cancer stem cells (BCSCs) to estimate the risk of metastasis and survival in breast cancer patients. METHODS: The centroid expression of the 41-gene signature derived from BCSCs was applied as the threshold to classify patients into two separate groups—patients with high expression (high-EL) of the prognostic signature and patients with low expression (low-EL). The predictive ability of the 41-gene signature was evaluated by Cox regression model and was compared against other popular tests, such as Oncotype and MammaPrint. RESULTS: Our results showed that the 41-gene prognostic signature was significantly associated with age (P = .0351) and ER status (P = .0095). The analysis indicated that patients in the high-EL group had a worse prognosis than those in the low-EL group in terms of both overall survival (OS: HR, 2.05, P = .009) and distant metastasis-free survival (DMFS: HR, 2.24, P = .002). Additionally, the 41-gene signature was an independent risk factor and separates patients based on estrogen receptor status. While comparable to Oncotype, the analysis demonstrated that the 41-gene signature had a better prognostic value in predicting DMFS and OS than AOL, NPI, St. Gallen, Veridex, and MammaPrint. CONCLUSIONS: This study confirms the utility of the 41-gene signature and adds to the growing evidence that gene expression signatures of BCSCs have clinical potential to predict patient outcome and aid in treatment choice.
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spelling pubmed-42298702014-11-14 A 41-gene signature derived from breast cancer stem cells as a predictor of survival Yin, Zhi-Qiang Liu, Jian-Jun Xu, Ying-Chun Yu, Jian Ding, Guo-Hui Yang, Feng Tang, Lei Liu, Bao-Hong Ma, Yue Xia, Yu-Wei Lin, Xiao-Lin Wang, Hong-Xia J Exp Clin Cancer Res Research PURPOSE: The aim of this study was to evaluate the ability of a 41-gene signature derived from breast cancer stem cells (BCSCs) to estimate the risk of metastasis and survival in breast cancer patients. METHODS: The centroid expression of the 41-gene signature derived from BCSCs was applied as the threshold to classify patients into two separate groups—patients with high expression (high-EL) of the prognostic signature and patients with low expression (low-EL). The predictive ability of the 41-gene signature was evaluated by Cox regression model and was compared against other popular tests, such as Oncotype and MammaPrint. RESULTS: Our results showed that the 41-gene prognostic signature was significantly associated with age (P = .0351) and ER status (P = .0095). The analysis indicated that patients in the high-EL group had a worse prognosis than those in the low-EL group in terms of both overall survival (OS: HR, 2.05, P = .009) and distant metastasis-free survival (DMFS: HR, 2.24, P = .002). Additionally, the 41-gene signature was an independent risk factor and separates patients based on estrogen receptor status. While comparable to Oncotype, the analysis demonstrated that the 41-gene signature had a better prognostic value in predicting DMFS and OS than AOL, NPI, St. Gallen, Veridex, and MammaPrint. CONCLUSIONS: This study confirms the utility of the 41-gene signature and adds to the growing evidence that gene expression signatures of BCSCs have clinical potential to predict patient outcome and aid in treatment choice. BioMed Central 2014-06-06 /pmc/articles/PMC4229870/ /pubmed/24906694 http://dx.doi.org/10.1186/1756-9966-33-49 Text en Copyright © 2014 Yin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), 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
Yin, Zhi-Qiang
Liu, Jian-Jun
Xu, Ying-Chun
Yu, Jian
Ding, Guo-Hui
Yang, Feng
Tang, Lei
Liu, Bao-Hong
Ma, Yue
Xia, Yu-Wei
Lin, Xiao-Lin
Wang, Hong-Xia
A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title_full A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title_fullStr A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title_full_unstemmed A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title_short A 41-gene signature derived from breast cancer stem cells as a predictor of survival
title_sort 41-gene signature derived from breast cancer stem cells as a predictor of survival
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229870/
https://www.ncbi.nlm.nih.gov/pubmed/24906694
http://dx.doi.org/10.1186/1756-9966-33-49
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