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A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196175/ https://www.ncbi.nlm.nih.gov/pubmed/25216520 |
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author | Boidot, Romain Branders, Samuel Helleputte, Thibault Rubio, Laila Illan Dupont, Pierre Feron, Olivier |
author_facet | Boidot, Romain Branders, Samuel Helleputte, Thibault Rubio, Laila Illan Dupont, Pierre Feron, Olivier |
author_sort | Boidot, Romain |
collection | PubMed |
description | BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell lines to repeated periods of hypoxia/reoxygenation to determine a transcriptomic CycHyp signature and used clinical data sets from 2,150 breast cancer patients to estimate a prognostic Cox proportional hazard model to assess its prognostic performance. RESULTS: The CycHyp prognostic potential was validated in patients independently of the receptor status of the tumors. The discriminating capacity of the CycHyp signature was further increased in the ER+ HER2- patient populations including those with a node negative status under treatment (HR=3.16) or not (HR=5.54). The CycHyp prognostic signature outperformed a signature derived from continuous hypoxia and major prognostic metagenes (P<0.001). The CycHyp signature could also identify ER+HER2 node-negative breast cancer patients at high risk based on clinicopathologic criteria but who could have been spared from chemotherapy and inversely those patients classified at low risk based but who presented a negative outcome. CONCLUSIONS: The CycHyp signature is prognostic of breast cancer and offers a unique decision making tool to complement anatomopathologic evaluation. |
format | Online Article Text |
id | pubmed-4196175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-41961752014-10-21 A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling Boidot, Romain Branders, Samuel Helleputte, Thibault Rubio, Laila Illan Dupont, Pierre Feron, Olivier Oncotarget Research Paper BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell lines to repeated periods of hypoxia/reoxygenation to determine a transcriptomic CycHyp signature and used clinical data sets from 2,150 breast cancer patients to estimate a prognostic Cox proportional hazard model to assess its prognostic performance. RESULTS: The CycHyp prognostic potential was validated in patients independently of the receptor status of the tumors. The discriminating capacity of the CycHyp signature was further increased in the ER+ HER2- patient populations including those with a node negative status under treatment (HR=3.16) or not (HR=5.54). The CycHyp prognostic signature outperformed a signature derived from continuous hypoxia and major prognostic metagenes (P<0.001). The CycHyp signature could also identify ER+HER2 node-negative breast cancer patients at high risk based on clinicopathologic criteria but who could have been spared from chemotherapy and inversely those patients classified at low risk based but who presented a negative outcome. CONCLUSIONS: The CycHyp signature is prognostic of breast cancer and offers a unique decision making tool to complement anatomopathologic evaluation. Impact Journals LLC 2014-07-31 /pmc/articles/PMC4196175/ /pubmed/25216520 Text en Copyright: © 2014 Boidot et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Boidot, Romain Branders, Samuel Helleputte, Thibault Rubio, Laila Illan Dupont, Pierre Feron, Olivier A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title | A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title_full | A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title_fullStr | A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title_full_unstemmed | A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title_short | A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
title_sort | generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196175/ https://www.ncbi.nlm.nih.gov/pubmed/25216520 |
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